Journal articles on the topic 'Three ways adaptive systems fail'

The current paradigm for effective management in biodiversity conservation programmes is dominated by three broad streams of thinking: (i) traditional “command-and-control” approaches which are commonly observed in, but are not exclusive to, bureaucratic government-administered conservation, (ii) more recent notions of “adaptive management,” and (iii) emerging “good practice” management frameworks for conservation. Other variations on these themes suggested by the literature tend to endorse additions or enhancement to one or more of these approaches. We argue that instead a more fundamental alternative approach to conservation management is required, based on “systems thinking.” The systems thinking approach should encompass (i) an understanding of natural systems, (ii) a sense of how human behaviour is influenced, (iii) an understanding of how knowledge should inform decision-making and problem solving, and (iv) an approach based on an understanding of variation in natural systems. Our argument is that the current paradigms of conservation management fail to address these four fundamentals and therefore do not represent the most effective way to manage conservation programmes. We suggest that the challenge for the conservation community is so great that conservation managers should seriously consider better ways of designing and managing programmes, setting goals, making decisions, and encouraging learning and improvement.

Purpose This paper aims to investigate two seminal market-scanning frameworks – the five-forces analysis and PESTEL environmental scanning tool – to assess their readiness for anticipating market-shaping acts. Design/methodology/approach Drawing on the market-shaping literature that conceptualizes markets as complex adaptive systems, this conceptual paper interrogates the underlying assumptions and “blind spots” in two seminal market-scanning frameworks. The paper showcases three illustrative vignettes in which non-industry actors catalyzed market change in ways that these market-scanning frameworks would not be able to anticipate. Findings Marketing strategists can be “blindsided” as seminal market-scanning frameworks have either too narrow an interpretation of market change or are too broad to anticipate specific types of market-shaping acts. The assumptions about markets that underpin these market-scanning frameworks contribute to incumbents being slow to realize market-shaping acts are taking place. Research limitations/implications The authors extend market-scanning to include a type of managerial myopia that fails to register the socially embedded, systemic nature of complex contemporary markets. Furthermore, the paper provides an “actors-agendas-outcomes” scanning framework that offers awareness of market-shaping acts. Originality/value This paper is the first to consider market-scanning frameworks from a market-shaping perspective.

The pre-built knowledge of traditional expert systems is only capable of limited responses to changes in the operating environment. If the data input is imperfect, a traditional system may fail to reach any rational conclusions. In this paper, we introduce the concept of self-adaptability to the inference process of an expert system, and propose a model that is capable of handling unexpected user input effectively and efficiently. Such a system can formulate operational knowledge on the move for inference. With this self-adaptive capability, an expert system can reach useful conclusions, even when the input data is insufficient. The architecture of the proposed system encodes domain knowledge with semantic networks. It also defines four types of adaptation, namely, condition knowledge adaptation, operational knowledge adaptation, conclusion knowledge adaptation, and presentation adaptation, and focuses on how the first three contribute to the adaptive capability of the system. In addition, to enable a self-adaptive expert system to effectively produce better conclusions, two entropy-based measuring mechanisms are proposed: one minimizes the information loss during knowledge adaptation, while the other selects the best attribute relation during the generation of operational knowledge. We have proved that a self-adaptive expert system based on this architecture can always reach a regular conclusion or an abstract conclusion, which is a more meaningful conclusion by automatically modifying its operational knowledge in response to user feedback during the inference process, even in unexpected situations.

Automation is being implemented in a variety of systems in an effort to improve performance and overcome high operator workload. Current automation approaches may underlie these problems by reducing operator situation awareness. Evidence suggests that in many ways current automation approaches fail to achieve the desired reduction in workload, yet the prevailing approach to system design is still to automate to reduce workload. An alternate design approach is presented that focuses on utilizing intermediate levels of automation (LOA) that integrate the human and the automated system in substantially different ways. Three studies are examined that explore the effects of LOA on performance, situation awareness and workload under normal and failure conditions. Intermediate LOAs were found to significantly enhance SA and performance as compared to full automation or purely manual performance. Factors that determine when automation may be advantageous and when it may be detrimental are revealed through this systsematic exploration of design options for combining humans and automated systems.

Climate change is an ongoing threat across the earth–especially those who depend on fishing. This study aims to understand how fishery-dependent communities in the South-Eastern coast of Bangladesh build resilience against environmental stresses, and in what ways their strategies sometimes fail. A composite index approach has been used to calculate livelihood vulnerability. Results reveal that exposure to floods and cyclones, sensitivity and lack of adaptive capacity concerning physical, natural, and financial capital and diverse livelihood strategies construe livelihood vulnerability in different ways depending on the context. The study reveals that over the last ten years, 20% household heads have changed their fishing profession, where dependency to non-fisheries livelihoods such as rickshaw pooling and small business is growing in the studied fishing villages. However, many of them are applying their traditional knowledge to cope with the changing climate stress and in conserving the biodiversity of the coast. In order to strengthen adaptive capacity and to build resilience, government and the external agencies need to facilitate the existing traditional knowledge and systems with which the fishermen communities have been historically responding to the environmental stresses.

AbstractMulti-agent systems are complex systems in which multiple autonomous entities, called agents, cooperate in order to achieve a common or personal goal. These entities may be computer software, robots, and also humans. In fact, many multi-agent systems are intended to operate in cooperation with or as a service for humans. Typically, multi-agent systems are designed assuming perfectly rational, self-interested agents, according to the principles of classical game theory. Recently, such strong assumptions have been relaxed in various ways. One such way is explicitly including principles derived from human behavior. For instance, research in the field of behavioral economics shows that humans are not purely self-interested. In addition, they strongly care aboutfairness. Therefore, multi-agent systems that fail to take fairness into account, may not be sufficiently aligned with human expectations and may not reach intended goals. In this paper, we present an overview of work in the area of fairness in multi-agent systems. More precisely, we first look at the classical agent model, that is, rational decision making. We then provide an outline of descriptive models of fairness, that is, models that explain how and why humans reach fair decisions. Then, we look at prescriptive, computational models for achieving fairness in adaptive multi-agent systems. We show that results obtained by these models are compatible with experimental and analytical results obtained in the field of behavioral economics.

Research on virtual teams (VTs) has proliferated in the last decades. However, few clear and consistent theoretical attempts to integrate the literature on VTs in a systemic way have emerged. This paper uses the complex adaptive systems (CAS) perspective to integrate the literature on emergent states in VTs. According to this general framework, VT effectiveness depends on the interaction between three levels of dynamics: local, global and contextual. Team cognition, trust, cohesion and conflict are described as states that emerge from the interactions among the VT members and as parts of global dynamics, they impact on VT effectiveness, and in the same time they are influenced by the outcomes of the VT. The insights on this bidirectional causality as well as other benefits of using the CAS framework to improve our understanding of VTs are discussed in the paper. It also provides an overview of artificial simulation models as well as simulation results concerning the emergence of the four states described in the CAS framework and discusses several ways to improve the accuracy of the simulation models using empirical data collected in real VTs.

In distributed systems, traders mediate between clients and service providers. This paper introduces a trading model, which supports multiagent systems (MAS) and goes beyond simple trading in three ways: (a) Service composition — The trader composes complex services of the current service offers. During the composition, it checks the availability of the service offers. (b) Use of group agents — Group agents represent a group of agents with their individual policies and other context information. The trader can use the group agent's information for a pre-selection of service offers. (c) Adaptability — The trading model uses the notion of clients' trust into services and adapts to the clients' preferences and system policies. The trading model is used in a Computer-Supported Cooperative Work (CSCW) application, in which the trader finds adequate communication services for project teams with geographically distributed members.

Purpose: the article is devoted to the ways to create adaptive production systems, taking into account the experience of the economies that have successfully emerged from the terminal crisis. One of the tasks is to improve the adaptability of the production system or, at the best, of the socio-economic system as a whole, in a now situation of uncertainty and unpredictable social, technological, structural, economic dynamics.Methods: an approach is based on the provisions of systemic economic theory, specifically on the representation of the socio-economic system in the form of a tetrad, comprising several key subsystems (sectors) that exchange resources (powers) that they possess.Results: noticeable contemporary conditions and the characteristics of the global socio-economic system are identified as a terminal crisis, which is determined by the depth and breadth to cover the regions, countries, industries with serious changes of a new quality in the functioning of economic objects at the different hierarchy levels. Such a crisis, in contrast to a structural crisis, affects all social groups, spheres of subject affairs and actors relations. The paper argues the quite relevant issue of how to make a systemic transition to a new model and paradigm of the economy. With this purpose, we have identified three groups of factors on which a model of the economy in a post-pandemic world can be based at least. Theoretical grounds and practical conclusions are given in order to carry out system assembly (synthesis) of a production system based on the model of the tetrad.Conclusions and Relevance: it is shown that the synthesis of all types of systems – socio-economic, industrial, innovation system – should be carried out on the basis on systemic economic paradigm, taking into account both the new current phenomena and peculiarities on the different economic levels. According to the author conclusion, some of the principles, proposed to organize and manage the corporate systems by Deming, can be used to increase adaptive ability of the production systems at least at the micro level of the Russian economy, which will inevitably be being transformed in a post-pandemic world.

In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings.

In the enrolment process, selecting the right module and lecturer is very important for students. The wrong choice may put them in a situation where they may fail the module. This could lead to a more complicated situation, such as receiving an academic warning, being de-graded, as well as withdrawn from the program or the university. However, module advising is time-consuming and requires knowledge of the university legislation, program requirements, modules available, lecturers, modules, and the student's case. Therefore, the creation of effective and efficient systems and tools to support the process is highly needed. This paper discusses the development of a fuzzy-based framework for the expert recommender system for module advising. The proposed framework builds three main spaces which are: student-space (SS), module-space (MS), and lecturer-space (LS). These spaces are used to estimate the risk level associated with each student, module, and lecturer. The framework then associates each abnormal student case in the students’ grade history with the estimated risk level in the SS, MS, and LS involved in that particular case. The fuzzy-based association-rule learning is then used to extract the dominant rules that classify the consequent situation for each eligible module if it is to be taken by the student for a specific semester. The proposed framework was developed and tested using real-life university data which included student enrollment records and student grade records. A five-fold cross-validation process was used for testing and validating the classifying accuracy of the fuzzy rule base. The fuzzy rule base achieved a 92% accuracy level in classifying the risk level for enrolling on a specific module for a specific student case. However, the average classifying accuracy achieved was 89.2% which is acceptable for this problem domain as it involves human behavior modeling and decision making.

To comprehend natural host–parasite systems, ecological knowledge of both hosts and parasites is critical. Here I present a view of marine systems based on the snail Ilyanassa obsoleta and its trematodes. This system is reviewed and two others, those of the snails Cerithidea californica and Littorina littorea, are then summarized and compared. Trematodes can profoundly affect the physiology, behaviour and spatial distribution of hosts. Studying these systems is challenging because trematodes are often embedded in host populations in unappreciated ways. Trematode prevalence is variable, but can be high in populations of all three hosts. Conditions under which single- and multiple-species infections can accumulate are considered. Adaptive relations between species are likely the most important and potentials for adaptation of parasites to hosts, hosts to parasites, and parasites to other parasites are also considered. Even if colonization rate is low, a snail population can develop high trematode prevalence, if infections persist long and the host is long-lived and abundant. Trematodes must be adapted to use their snail hosts. However, both I. obsoleta and L. littorea possess highly dispersed planktonic larvae and trematode prevalence is variable among snail populations. Host adaptation to specific infections, or even to trematodes in general, is unlikely because routine exposure to trematodes is improbable. Crawl-away juveniles of C. californica make adaptation to trematodes in that system a possibility. Trematode species in all three systems are not likely adapted to each other. Multiple-species infections are rare and definitive hosts scatter parasite eggs among snail populations with variable prevalences. Routine co-occurrence of trematodes in snails is thus unlikely. Adaptations of these larval trematodes to inhabit the snail host must, then, be the basis for what happens when they do co-occur.

Both energy consumption and the ecology of mobile wood-chipping machines are important issues in forest management. One way of improving the efficiency of wood-chippers is to use innovative design solutions in drive unit control systems. This can result in a reduction in fuel consumption and quantitative exhaust gas emissions. This article presented the results of research conducted on the fuel consumption of a cylindrical wood chipper driven by a small engine. We carried out testing of the unmodified chipper (A), made two different chipper modifications (B) and (C), and tested the modified versions to achieve the indicated results. The process allowed analysis and comparison of recorded data. For this purpose, the engine was supplied with fuel in three different ways: carburetor (factory-made) (A), the injector (B), and injector with an adaptative drive control system (designed by the authors) (C). The construction of a maintenance-free and adaptive drive control system where its functioning depended on operating conditions was done following patent application P.423369. All three fuel supply systems: A, B, and C were tested experimentally in terms of fuel consumption. The research was conducted in both set exploitation conditions (idle work with high (1) and low (2) rotational speed, with a continuous chipping process (3)) and transient exploitation conditions (4) (resulting from the delivery time of wood waste). Thus, the first stage of research involved two constructions (A, B) for three different working conditions (1-3). The second stage consisted of three constructions (A-C) tested in the fourth working conditions (4). The tests showed that the injection system reduced fuel consumption by around 61% during the continuous chipping process in comparison with the carburetor system. The adaptive drive control system (C) reduced fuel consumption by 55–74% in comparison with the carburetor system (A), and by 24–60% in comparison with the injection system (B) without an adaptive drive control system. The level of energy consumption in these systems depended directly on the ratio of idle work time during the chipping process.

We analyse commercially operated rangelands as coupled systems of people and nature. The biophysical components include: (i) the reduction and recovery of potential primary production, reflected as changes in grass production per unit of rainfall; (ii) changes in woody plants dependent on the grazing and fire regimes; and (iii) livestock and wool dynamics influenced by season, condition of the rangeland and numbers of wild and feral animals. The social components include the managers, who vary with regard to a range of cognitive abilities and lifestyle choices, and the regulators who vary in regard to policy goals. We compare agent–based and optimization models of a rangeland system. The agent–based model leads to recognition that policies select for certain management practices by creating a template that governs the trajectories of the behaviour of individuals, learning, and overall system dynamics. Conservative regulations reduce short–term loss in production but also restrict learning. A free–market environment leads to severe degradation but the surviving pastoralists perform well under subsequent variable conditions. The challenge for policy makers is to balance the needs for learning and for preventing excessive degradation. A genetic algorithm model optimizing for net discounted income and based on a population of management solutions (stocking rate, how much to suppress fire, etc.) indicates that robust solutions lead to a loss of about 40% compared with solutions where the sequence of rainfall was known in advance: this is a similar figure to that obtained from the agent–based model. We conclude that, on the basis of Levin's three criteria, rangelands with their livestock and human managers do constitute complex adaptive systems. If this is so, then command–and–control approaches to rangeland policy and management are bound to fail.

Abstract The themed article set (TS) “Science in support of a nonlinear non-equilibrium world” reflects the challenge presented by the increasing potential for complex non-linear behaviour in marine ecosystems, many of which are undergoing dramatic changes due to anthropogenic perturbations. Marine ecosystems are complex adaptive systems, yet management strategies are often guided by a linear, stable perspective that excludes non-linearities and the possibility for evolution and adaptation. Rapidly increasing amounts of observational data, the interdisciplinary development of powerful mathematical approaches from complexity theory, and the evolving complex adaptive systems approach that includes human behaviour promise to substantially advance the development of management strategies. For these reasons, the ICES Journal of Marine Science solicited contributions to a TS that would take up these issues. In this introduction, I focus on three important areas—causality, prediction, and emergence—where a “non-linear” perspective can advance our understanding and better support sustainable management of ecosystems. I briefly present the nine contributions that are included in the themed set and suggest some ways forward. We hope that these articles serve to convince managers and marine scientists of the benefits of incorporating approaches and results from research on non-linear dynamics.

PurposeThe purpose of this paper is to present a conceptual framework on resilience types in supply chain networks.Design/methodology/approachUsing a complex adaptive systems perspective as an organizing framework, the paper explores three forms of resilience: engineering, ecological and evolutionary and their antecedents and links these to four phases of supply chain resilience (SCRES): readiness, response, recovery, growth and renewal.FindingsResilient supply chains need all three forms of resilience. Efficiency and system optimization approaches may promote quick recovery after a disruption. However, system-level response requires adaptive capabilities and transformational behaviors may be needed to move supply chains to new fitness levels after a disruption. The three resilience types discussed are not mutually exclusive, but rather complement each other and there are synergies and tradeoffs among these resilience types.Research limitations/implicationsThe empirical validation of the theoretical propositions will open up new vistas for supply chain research. Possibilities exist for analyzing and assessing SCRES in multiple and more comprehensive ways.Practical implicationsThe findings of the research can help managers refine their approaches to managing supply chain networks. A more balanced approach to supply chain management can reduce the risks and vulnerabilities associated with supply chain disruptions.Originality/valueThis study is unique as it conceptualizes SCRES in multiple ways, thereby extending our understanding of supply chain stability.

Human out-of-the-loop (OOTL) performance problems in overseeing automated systems have motivated an interest in the use of intermediate levels of automation and adaptive automation (AA) as methods for improving the efficiency of operators when working with systems. In this paper, we discuss the current state of research into level of automation (LOA) and AA in complex, dynamic control systems. Different levels of automation and taxonomies of LOA, as well as strategies to AA, are identified. Empirical studies independently demonstrating the effectiveness of LOA and AA for combating negative consequences of OOTL performance and improving human functioning are reviewed. On the basis of these studies, the need to assess the combined effectiveness of LOA and AA in a dynamic control task is established. An experiment is presented which addresses this need. Thirty university students performed the control task and a secondary monitoring task with various levels of automation (varying degrees of computer assistance) and AA (varying durations of assistance) being applied to the former. Testing involved five levels of automation allocated over three different cycle times. Results suggest that LOA and AA are not additive in their effect on automated system functioning, however, each affects performance in very different ways. Level of automation was found to have a significant effect on functioning with the dynamic control task, while AA was found to significantly affect performance on the secondary monitoring task indicating an impact of operator workload. The results of this study are directly applicable to automated system design decisions regarding which system functions should be performed by a human operator or computer controller and for how long performance should occur.

As one of the most widely used energy storage systems, lithium-ion batteries are attracting more and more attention, and the estimation of lithium-ion batteries remaining useful life (RUL) becoming a critical problem. Generally, RUL can be predicted in two ways: physics of failure (PoF) method and data driven method. Due to the internal electro-chemical reactions are either inaccessible to sensors or hard to measure; the data-driven method is adopted because it does not require specific knowledge of material properties. In this paper, three data-driven algorithms, i.e., Support Vector Machine (SVM), Autoregressive Moving Average (ARMA), and Particle Filtering (PF) are presented for RUL prediction. The lithium-ion battery aging experiment data set has been trained to implement simulation. Based on the RUL prediction result, we can conclude that: (1) ARMA model achieved better result than SVM, however, the result shows a linear trend, which fail to properly reflect the degradation trend of the battery; (2) SVM often suffers from over fitting problem and is more suitable for single-step prediction; and (3) PF approach achieved a better prediction and reflected the trends of degradation of the battery owing to its combined with specific model.

SUMMARYThe objective of the present study was to determine the optimal culling strategy in relation to biological and economic efficiency (BE and EE, respectively) and annualized net revenue (AN) in the Japanese Black cow–calf production system with special reference to the beef quality of culled cows. The herd model focused on two ways of mating: one-mating trial system (ONE) and continuous-mating trial system (CON). ONE assumed that heifers that fail to conceive are culled and cows that fail to conceive are culled at weaning of their calves, while CON assumed that mating continues until all females theoretically conceive. Least square means of carcass data of Japanese Black cows collected from a cooperative farm in Japan were used to estimate the carcass price of a cow by parity and Beef Marbling Standard (BMS) number. The simulation, assuming the current production situation in Japan, indicated that sales of culled cows accounted for 0·10–0·20 of total sales and was an important element in total production. Comparisons between ONE and CON showed that production efficiency in the current situation is higher in CON. The BE, EE and AN were higher in CON than in ONE. The two economic indicators were less sensitive to changes in annual discount rate but highly sensitive to changes in female calf price and BMS number of cows, indicating the importance of considering fluctuations in calf price and potential quality of culled cows’ carcasses when estimating the economically optimal parity of culling. The three indicators derived different optimal solutions even in the same mating trial systems, stressing the importance of choice of production indicators when determining the culling strategy and evaluating animal production.

Today the advancement of technology and human science has developed rapidly. These developments give a number of technological innovations that were used to solve and facilitate human life. One of the advances in technological innovation is the development of buildings that are designed and established using modern technology. However, the development of these advances, especially man-made buildings, on the contrary, also have a lot of adverse effects on the environment in which humans live. These adverse impacts cause environmental degradation to result in the extinction of a number of natural species around human habitation. These problems are mostly sourced from people who lack environmental awareness. A number of experts to scientists, especially those in charge of development problems, began to look for ways to reduce these adverse impacts. One way that is done especially by architects is to study the process of natural adaptation with its environment which is included in the Biomimicry Architecture. The adaptation process carried out by nature is reflected in how forms, processes and systems that nature uses to respond to its environment. The inspiration was then applied by the architect into the building. Architects in terms of building design must pay attention to three important aspects that exist in the building design process, namely aesthetics, function and strength. However, the aspect of power design in the discussion of biomimicry architecture has a smaller portion than aesthetics and function. While the need for building strength innovations in this regard is very necessary in the building structure against the background of the lack of innovative and environmentally friendly structural design aspects. Based on this problem, this study then used content analysis method with qualitative inductive type. The study was conducted by analyzing written information data that discussed the case of selected buildings, namely The Eden Project Building, The Gherkin Tower and The Eastgate Center. The results of the research are descriptive explanations related to how the adaptive principles applied by the architect into the building use natural inspiration. The benefits of this research are expected to provide an illustration for architects to design buildings that are adaptive to the environment, especially from structural systems and can expand the science of Biomimicry Architecture.

This article reviews the literature and explores the institutional and systemic factors that help and/or hinder change and innovation across school systems, with a focus on evidence from England. A number of authors have argued that schools and school systems need to become more innovative and adaptive if they are to meet the needs of 21st-century societies and economies. Quasi-market models premised on school autonomy, parental choice and vertical accountability have been seen as the best way to secure innovation, but the evidence of success remains thin. The article analyses four examples of change and finds that system-wide change is possible, but requires strong and sustained political support and capacity building within a values-based framework that allows for local agency and adaptation. It concludes by drawing out three implications: the need to prioritise ‘professional’ as well as ‘structural’ autonomy; the potential for vertical accountability frameworks to condition the ways in which parents perceive and value innovation; and the need to enhance the legitimacy of innovation in the eyes of education’s key stakeholders.

Glioblastoma (WHO Grade IV) is both the most common primary brain tumor and the most malignant. Advances in the understanding of the biology of the tumor are needed in order to obtain a clearer picture of the mechanisms driving these tumors. To neuropathologists, glioblastoma is a tumor that represents a complex system of migrating pleomorphic tumor cells, proliferating blood vessels, infiltrating inflammatory cells, and necrosis. This review will highlight how the glioma stem cell concept brings these elements together into a collective whole, interacting with microenvironmental influences in complex ways. Borrowing from chaos theory a vocabulary of “self organizing systems” and “complex adaptive systems” that seem useful in describing these pathologic features, a new paradigm of glioblastoma biology will be proposed that genetic changes should be understood in a three dimensional framework as they relate not only to the tumor cells themselves but also to the multicellular hierarchical unit, not isolated from, but responsive to, its local milieu. In this way we will come to better appreciate the impact our therapeutic interventions have on the regional phenotypic heterogeneity that exists within the tumor and the intercellular communications directing adaptation and progression.

This paper provides an analysis of the current state-of-the-art technologies in the field of auto-operators used in production during the electroplating process. General schemes of operations are presented, benefits and drawbacks of each scheme are discussed. The paper discusses an increase in the operating efficiency of the auto-operator in transient conditions (braking and acceleration) by reducing suspension oscillations and provides an example of a similar problem from other industries. In addition to the classification of the auto-operators, three main ways and control methods of the auto-operator of a galvanic line are presented. The main ways of eliminating oscillations during the movement of the auto-operator, as well as the rationale for the choice of adaptive (optimal) control, based on and comparing the basic control algorithms of the robot manipulator, are discussed. The comparative analysis of algorithms used to determine the optimal control has been carried out. Application field of each optimal control method described, moreover advantages and disadvantages as well as implementation methods described. Bellman dynamic programming method was chosen to eliminate oscillations of the suspension with details during the auto-operator transient conditions, the chosen method takes into account all necessary conditions to achieve the desired result.

Does the human mind resemble the machines that can behave like it? Biologically inspired machine-learning systems approach “human-level” accuracy in an astounding variety of domains, and even predict human brain activity—raising the exciting possibility that such systems represent the world like we do. However, even seemingly intelligent machines fail in strange and “unhumanlike” ways, threatening their status as models of our minds. How can we know when human–machine behavioral differences reflect deep disparities in their underlying capacities, vs. when such failures are only superficial or peripheral? This article draws on a foundational insight from cognitive science—the distinction between performance and competence—to encourage “species-fair” comparisons between humans and machines. The performance/competence distinction urges us to consider whether the failure of a system to behave as ideally hypothesized, or the failure of one creature to behave like another, arises not because the system lacks the relevant knowledge or internal capacities (“competence”), but instead because of superficial constraints on demonstrating that knowledge (“performance”). I argue that this distinction has been neglected by research comparing human and machine behavior, and that it should be essential to any such comparison. Focusing on the domain of image classification, I identify three factors contributing to the species-fairness of human–machine comparisons, extracted from recent work that equates such constraints. Species-fair comparisons level the playing field between natural and artificial intelligence, so that we can separate more superficial differences from those that may be deep and enduring.

We consider discouraged arrival of Markovian queueing systems whose service speed is regulated according to the number of customers in the system. We will reduce the congestion in two ways. First we attempt to reduce the congestion by discouraging the arrivals of customers from joining the queue. Secondly we reduce the congestion by introducing the concept of service switches. First we consider a model in which multiple servers have three service ratesμ1,μ2, andμ(μ1≤μ2<μ), say, slow, medium, and fast rates, respectively. If the number of customers in the system exceeds a particular pointK1orK2, the server switches to the medium or fast rate, respectively. For this adaptive queueing system the steady state probabilities are derived and some performance measures such as expected number in the system/queue and expected waiting time in the system/queue are obtained. Multiple server discouraged arrival model having one service switch and single server discouraged arrival model having one and two service switches are obtained as special cases. A Matlab program of the model is presented and numerical illustrations are given.

The article describes the ways of using statistical methods in agricultural geography. The use of analysis of variance in determining the influence of geocomplexes of various ranks on the yield of plants and other parameters of farms is shown. It was found that yield variability, soil acidity, the proportion of pastures and fallow lands are less than 30% determined by the characteristics of the natural environment of geosystems and the variability of plant nutrients, stony and marshy soil, and the share of haymaking by 30-50%. Other elements of the structural organization of enterprises are more than half determined by the peculiarities of the territories of different levels. The process of determining a set of crops should be based on knowledge of the variability of their yields within the types of agricultural landscapes, and, if possible, at lower taxonomic levels. The degree of development of agricultural landscapes and the average size of the contour of the land is determined even when analyzing the conditions of the macroenvironment. The use of track analysis allows to identify the factors of direct impact on the crops which are divided into "active" and "potential". It has been established that all types of agricultural landscapes of the Upper Volga region can be divided into two groups according to the number of active and potential factors: geocomplexes with a homogeneous lithogenic basis and landscapes on two-membered sediments. The latter are distinguished by a large number of active factors and a wide range of affected crops. The design of crop rotations should take into account an individual set of factors affecting the production process. The methodology for assessing the productivity of agricultural landscapes can be based on the use of its integral indicators. The systems of measures that increase the degree of realization of the potential productivity of agricultural landscapes for cereal grass stands have been determined. They are combined into three groups: 1. Adaptive placement of grass stands depending on the granulometric composition and the geological structure of the soil. 2. Adaptive placement of grass stands and drainage irrigation amelioration. 3. Adaptive placement of grass stands, water melioration and land management activities. Identified areas of distribution of these groups of activities in the Upper Volga region.

COPD (chronic obstructive pulmonary disease) is a treatable and preventable disease state, characterized by progressive airflow limitation that is not fully reversible. It is a current and growing cause of mortality and morbidity worldwide, with the WHO (World Health Organization) projecting that total deaths attributed to COPD will increase by more than 30% in the next 10 years. The pathological hallmarks of COPD are destruction of the lung parenchyma (pulmonary emphysema), inflammation of the central airways (chronic bronchitis) and inflammation of the peripheral airways (respiratory bronchiolitis). The destructive changes and tissue remodelling observed in COPD are a result of complex interactions between cells of the innate and adaptive immune systems. The focus of the present review is directed towards the role of CD8+ T-lymphocytes, NK (natural killer) cells and NKT cells (NK T-cells). These three classes of killer cell could all play an important part in the pathogenesis of COPD. The observed damage to the pulmonary tissue could be caused in three ways: (i) direct cytotoxic effect against the lung epithelium mediated by the activities of perforin and granzymes, (ii) FasL (Fas ligand)-induced apoptosis and/or (iii) cytokine and chemokine release. The present review considers the role of these killer cells in COPD.

We present an analysis of the role of emotions in normal and abnormal development and preventive intervention. The conceptual framework stems from three tenets of differential emotions theory (DET). These principles concern the constructs of emotion utilization; intersystem connections among modular emotion systems, cognition, and action; and the organizational and motivational functions of discrete emotions. Particular emotions and patterns of emotions function differentially in different periods of development and in influencing the cognition and behavior associated with different forms of psychopathology. Established prevention programs have not emphasized the concept of emotion as motivation. It is even more critical that they have generally neglected the idea of modulating emotions, not simply to achieve self-regulation, but also to utilize their inherently adaptive functions as a means of facilitating the development of social competence and preventing psychopathology. The paper includes a brief description of a theory-based prevention program and suggestions for complementary targeted interventions to address specific externalizing and internalizing problems. In the final section, we describe ways in which emotion-centered preventions can provide excellent opportunities for research on the development of normal and abnormal behavior.

In this paper, a range-based cooperative localization method is proposed for multiple platforms of various structures. The localization system of an independent platform might degrade or fail due to various reasons such as GPS signal-loss, inertial measurement unit (IMU) accumulative errors, or emergency reboot. It is a promising approach to solve this problem by using information from neighboring platforms, thus forming a cooperative localization network that can improve the navigational robustness of each platform. Typical ranging-based ultra-wideband (UWB) cooperative localization systems require at least three auxiliary nodes to estimate the pose of the target node, which is often hard to meet especially in outdoor environment. In this work, we propose a novel IMU/UWB-based cooperative localization solution, which requires a minimum number of auxiliary nodes that is down to 1. An Adaptive Ant Colony Optimization Particle Filter (AACOPF) algorithm is customized to integrate the dead reckoning (DR) system and auxiliary nodes information with no prior information required, resulting in accurate pose estimation, while to our knowledge the azimuth have not been estimated in cooperative localization for the insufficient observation of the system. We have given the condition when azimuth and localization are solvable by analysis and by experiment. The feasibility of the proposed approach is evaluated through two filed experiments: car-to-trolley and car-to-pedestrian cooperative localization. The comparison results also demonstrate that ACOPF-based integration is better than other filter-based methods such as Extended Kalman Filter (EKF) and traditional Particle Filter (PF).

Purpose This paper presents the research findings of the “Syrian New Scots’ Information Literacy Way-finding practices” research project, funded by the Information Literacy Group of the Chartered Institute of Library and Information Professionals. The purpose of this paper is to explore the information needs of “Syrian New Scots” (the preferred name for refugees in Scotland), their habitual and adaptive information literacy practices and the barriers and enablers they encounter within their new socio-cultural setting via their interactions with people, tools and processes. Design/methodology/approach Primary data were collected via interviews with three Local Authority Leads for Syrian Resettlement and focus groups with Syrian New Scots in three geographical locations in Scotland: two rural areas and one urban. Syrian research subjects were also involved in a drawing exercise that helped to contextualise the findings. Findings The main information needs expressed by participants revolved around the learning of English language which was linked to addressing health-related information needs, well-being and community engagement. All participants also highlighted the issue of socio-cultural differences in fulfilling everyday life information needs (such as health and housing). Information provision to Syrian New Scots requires a more structured process that acknowledges personalised information needs and it is tailored to the different stages of the adaptation process. The findings suggest that the “ways of knowing” that Syrian refugees bring with them are converging information experiences of past and new knowledge structures gained via different socio-cultural and migration experiences. Originality/value The research findings of this project will be of interest to local and regional support organisations and community volunteer groups who contribute to the social well-being and social integration of Syrian refugees. In addition, they may be of interest to public libraries due to their role as centres for educational and cultural orientation sessions, and as places of support for newly settled Syrian refugees and the communities that embrace them.

In the high Andes, environmental and socio-economic drivers are transforming agriculture and presumably affecting the in situ conservation of potato (Solanum spp.). To monitor the use and conservation of intraspecific diversity, systematic and comparative studies across agricultural land-use systems are needed. We investigated the spatial-temporal dynamics of potato in two landscapes of Peru’s central Andes: A highland plateau (Huancavelica) compared to an eastern slope (Pasco). We examined household-level areal allocations, altitudinal distribution, sectoral fallowing practices, and the conservation status for three main cultivar groups: (i) Bred varieties, (ii) floury landraces, and (iii) bitter landraces. Mixed methods were used to survey 323 households and the 1101 potato fields they managed in 2012–2013. We compared the contemporary altitudinal distribution of landraces with 1975–1985 altimeter data from the International Potato Center. Intensification is occurring in each landscape while maintaining high intraspecific diversity. Access to land and production for sale compared to consumption significantly affected smallholder management and differentiated landscapes. Most landraces were scarce across households: 45.4% in Huancavelica and 61.7% in Pasco. Potato cultivation has moved upward by an average of 306 m since 1975. Landrace diversity is versatile but unevenly distributed across landscapes. This requires adaptive ways to incentivize in situ conservation.

Amidst fears over artificial intelligence ‘arms races’, much of the international debate on governing military uses of AI is still focused on preventing the use of lethal autonomous weapons systems (laws). Yet ‘killer robots’ hardly exhaust the potentially problematic capabilities that innovation in military AI (mai) is set to unlock. Governance initiatives narrowly focused on preserving ‘meaningful human control’ over laws therefore risk being bypassed by the technological state-of-the-art. This paper departs from the question: how can we formulate ‘innovation-proof governance’ approaches that are resilient or adaptive to future developments in military AI? I develop a typology for the ways in which mai innovation can disrupt existing international legal frameworks. This includes ‘direct’ disruption – as new types of mai capabilities elude categorization under existing regimes – as well as ‘indirect’ disruption, where new capabilities shift the risk landscape of military AI, or change the incentives or values of the states developing them. After discussing two potential objections to ‘innovation-proof governance’, I explore the advantages and shortcomings of three possible approaches to innovation-proof governance for military AI. While no definitive blueprint is offered, I suggest key considerations for governance strategies that seek to ensure that military AI remains lawful, ethical, stabilizing, and safe.

There are many ways of describing and explaining the properties of living systems; causal, functional, and reductive accounts are necessary but no one account has primacy. The history of biology as a discipline has given excessive authority to reductionism, which collapses higher level accounts, such as social or behavioural ones, into molecular ones. Such reductionism becomes crudely ideological when applied to the human condition, with its claims for genes “for” everything from sexual orientation to compulsive shopping. The current enthusiasm for genetics and ultra-Darwinist accounts, with their selfish-gene metaphors for living processes, misunderstand both the phenomena of development and the interactive role that DNA and the fluid genome play in the cellular orchestra. DNA is not a blueprint, and the four dimensions of life (three of space, one of time) cannot be read off from its one-dimensional strand. Both developmental and evolutionary processes are more than merely instructive or selective; the organism constructs itself, a process known as autopoiesis, through a lifeline trajectory. Because organisms are thermodynamically open systems, living processes are homeodynamic, not homeostatic. The self-organising membrane-bound and energy-utilising metabolic web of the cell must have evolved prior to so-called naked replicators. Evolution is constrained by physics, chemistry, and structure; not all change is powered by natural selection, and not all phenotypes are adaptive. Finally, therefore, living processes are radically indeterminate; like all other living organisms, but to an even greater degree, we make our own future, though in circumstances not of our own choosing.

The demand for equality of recognition or respect is the dominant passion of modernity. The 20th century experienced a giant leap in technological inventiveness and ruthless use of technological power. In the 21st century, human welfare and environmental wellbeing demand fundamental political appraisal. We have the means, if we choose, to eradicate poverty and to responsibly protect the global environment. However, economic, political and cultural systems act to differentially allocate the benefits and risks for growth between socioeconomic groups. For example, it is a matter of pride that the neonatal mortality rate in affluent societies has dropped substantially since the late 1970s. However, the level of infant mortality (three times the national average) and low birthweight (13%) among the Indigenous Australian population is the highest in the country. With hindsight we now know that is the inevitable legacy of Australia’s colonial history. Chronic physical and psychological stress is recognized as an important etiological factor in many lifestyle diseases of the cardiovascular, immune and reproductive systems. Diseases of adaptation are further advanced by non-adaptive lifestyle choices, depression, alcoholism and other drug dependencies. This review describes the principles of bioscience ethics and targets equity issues as they affect human reproduction across generations with particular reference to the Indigenous population of Australia. The review also considers ways we may advance global and cultural maturity from the Indigenous Australian perspective and proposes an ecologically based model of preventative care. If we are to embrace fundamental social change and protect future children without threatening parents’ basic freedoms, then new beliefs and priorities – based on a compassionate understanding of biological systems – must evolve from the general public. Belief in human rights arising from a sense of human dignity is a collective outcome originating from individual commitment. The golden rule; that is, Nature’s principle of reciprocity, is fundamental in bridging the gap between knowledge and effective action.

In the second part of the text “Becoming a posthuman systemic nomad”, I suggest ways in which systemic practitioners may become systemic nomads, reintegrating cybernetics and social constructionism and taking a new-materialist perspective on life. Systemic therapists may become “post human systemic nomads”, navigating and systemically learning in complex adaptive systems, in which we are relational responsible to all human and non-human actors in the networks that we produce and that we are produced by. Inspired by the philosophy of Deleuze and Guattari I made three cartographies for us, systemic nomads, navigating complexity in multi-actor systems. Systemic practitioners (from a new-materialist perspective) can co-create better ecological worlds if we are conscious of the effects of our actions in interdependent relationships with all actors in life, when – as nomads – we display systemic sensibility or intelligence (Senge, 2006) within systems of multi-actors. Abstract (Dutch) In dit tweede deel van de tekst “Becoming a posthuman systemic nomad” beschrijf ik hoe systeemtherapeuten en consulenten “systemische nomaden” kunnen worden door in hun denken en doen inspiraties uit de cybernetica, het sociaal constructionisme en het nieuw-materialisme te integreren. Systeemtherapeuten en ‘systemisch’ consulenten, die “systemische nomaden” worden, navigeren en leren navigeren in complex adaptieve multi-actor systemen. Zij ervaren een ‘relationele verantwoordelijkheid’ naar zowel humane als niet-humane (dingen, dieren, planten) actoren in de netwerken waartoe zij betekenisvol bijdragen, waarvan zij om betekenisvol voort te bestaan afhankelijk zijn. “Systemische nomaden”, bewust van de inter-afhankelijkheid tussen alle humane en niet-humane deelnemers in het multi-actor netwerk, kunnen mogelijk bijdragen in de co-creatie van betere ecologisch afgestemde leefwerelden. Geïnspireerd door de filosofie van Deleuze en Guattari maakte ik drie cartografieën die ons in dit proces van navigeren en leren navigeren kunnen helpen.

Abstract Glioblastoma (GBM) is a primary malignant brain tumor with a median survival under two years. The poor prognosis GBM caries is largely due to cellular invasion, which enables escape from resection and drives inevitable recurrence. Numerous factors have been proposed as the primary driving forces behind GBM’s ability to invade adjacent tissues rapidly, including alterations in its cellular metabolism. Though studies have investigated links between GBM’s metabolic profile and its invasive capabilities, these studies have had two notable limitations. First, while infiltrating GBM cells utilize adaptive cellular machinery to overcome stressors in their microenvironment, the cells at the invasive tumor front have rarely been sampled in previous studies, which have primarily used banked tissue taken from the readily accessible tumor core. Second, studies of invasion have primarily used two-dimensional (2D) culture systems, which fail to capture the dimensionality, mechanics, and heterogeneity of GBM invasion. To address these limitations, our team developed two complementary approaches: acquisition of site-directed biopsies from patient GBMs to define regional heterogeneity in invasiveness, and engineering of three dimensional (3D) platforms to study invasion in culture. Through utilization of these platforms, and by taking advantage of the system-wide, unbiased screens of metabolite profile and gene expression available, our team looked to accomplish the goal of identifying targetable metabolic factors which drive cellular invasion in GBM. Pilot RNA-Sequencing data revealed 87 of the top 250 (35%) genes preferentially expressed in the tumor invasive edge, and 30 of the top 250 (12%) genes preferentially expressed in the tumor core were involved in cellular metabolism. KEGG pathways analysis demonstrated enrichment of glycolytic, pentose phosphate, and response to amino acid starvation pathways at the tumor invasive edge. These preliminary studies demonstrate a distinct metabolic phenotype in invasive GBM cells which will be further explored with system wide screens.

Purpose The purpose of this paper is to explain why the high quality cassava flour (HQCF) value chain in Nigeria has not performed as well as expected. The specific objectives are to: analyse important sources of uncertainty influencing HQCF value chains; explore stakeholders’ strategies to respond to uncertainty; and highlight the implications of different adaptation strategies for equity and the environment in the development of the value chain. Design/methodology/approach The authors used a conceptual framework based on complex adaptive systems to analyse the slow development of the value chain for HQCF in Nigeria, with a specific focus on how key stakeholders have adapted to uncertainty. The paper is based on information from secondary sources and grey literature. In particular, the authors have drawn heavily on project documents of the Cassava: Adding Value for Africa project (2008 to present), which is funded by the Bill & Melinda Gates Foundation, and on the authors’ experience with this project. Findings Policy changes; demand and supply of HQCF; availability and price of cassava roots; supply and cost of energy are major sources of uncertainty in the chain. Researchers and government have shaped the chain through technology development and policy initiatives. Farmers adapted by selling cassava to rival chains, while processors adapted by switching to rival cassava products, reducing energy costs and vertical integration. However, with uncertainties in HQCF supply, the milling industry has reserved the right to play. Vertical integration offers millers a potential solution to uncertainty in HQCF supply, but raises questions about social and environmental outcomes in the chain. Research limitations/implications The use of the framework of complex adaptive systems helped to explain the development of the HQCF value chain in Nigeria. The authors identified sources of uncertainty that have been pivotal in restricting value chain development, including changes in policy environment, the demand for and supply of HQCF, the availability and price of cassava roots, and the availability and cost of energy for flour processing. Value chain actors have responded to these uncertainties in different ways. Analysing these responses in terms of adaptation provides useful insights into why the value chain for HQCF in Nigeria has been so slow to develop. Social implications Recent developments suggest that the most effective strategy for the milling industry to reduce uncertainty in the HQCF value chain is through vertical integration, producing their own cassava roots and flour. This raises concerns about equity. Until now, it has been assumed that the development of the value chain for HQCF can combine both growth and equity objectives. The validity of this assumption now seems to be open to question. The extent to which these developments of HQCF value chains can combine economic growth, equity and environmental objectives, as set out in the sustainable development goals, is an open question. Originality/value The originality lies in the analysis of the development of HQCF value chains in Nigeria through the lens of complex adaptive systems, with a particular focus on uncertainty and adaptation. In order to explore adaptation, the authors employ Courtney et al.’s (1997) conceptualization of business strategy under conditions of uncertainty. They argue that organisations can assume three strategic postures in response to uncertainty and three types of actions to implement that strategy. This combination of frameworks provides a fresh means of understanding the importance of uncertainty and different actors’ strategies in the development of value chains in a developing country context.

To solve the problem of automating the agroecological land estimation (natural resource potential) and creating intelligent information systems for their further programming, the necessary stage is the conceptualization of the domain knowledge (DK), or conceptual modelling. In this work, the conceptual model of DK “Agroecological properties of land”, developed on the basis of the abstract logical language UML and proposed in the previous part of the series of articles by the authors, is supplemented by the type of abstract objects “method”. The methods in UML reflect the types of relationships between data of various nature and are designed to distinguish the ways with which it is possible to fill in the missing data and information when solving practical problems in the framework of designing and building adaptive landscape farming systems. UML methods are considered for one of DK abstract classes – class “Relief”. In this class, 31 groups of input datasets and 23 groups of output datasets are suggested. All 54 datasets are based on the "method – attribute" connection that operate within this class or by abstract relationships between classes previously built into the conceptual model. This means that a class method as an abstract object defines a set of dependencies between data associated with the given class attributes, as input dataset, and data associated with the given or related class attributes, as output dataset. The elements of such set of dependencies can be deterministic or stochastic algorithms, statistical and other data processing methods, data analysis and artificial intelligence methods, as well as specific mathematical formulas. The technology of building a knowledge base by UML methods of class “Relief” is shown, containing 713 groups of UML methods classified by seven types, and also examples of UML methods of three different types are given.

AbstractClimate change, malnutrition, and noncommunicable diseases (NCDs) are three of the most significant health challenges of this century, and they share fundamental underlying drivers. Pacific Island countries (PICs) are at the forefront of the impacts of climate change, which is likely to affect food and nutrition security (FNS) directly and indirectly, and many countries have existing high NCD burdens. This paper surveys the climate change adaptation (CCA) landscape in one PIC, Vanuatu. It explores the extent to which FNS and diet-related NCDs are considered and addressed within CCA initiatives. A comprehensive review of the literature related to CCA, FNS, and NCDs in Vanuatu was combined with 32 semistructured interviews with key experts and stakeholders. This study found that some promising groundwork has been laid for tackling the effects of climate change on FNS in policy and governance, agriculture, coastal management, and nutrition. However, several opportunities for strengthening CCA were identified: targeting urban populations; complementary integration of disaster risk reduction and CCA; incorporating local knowledge; applying a systems-based framing of NCDs as climate-sensitive health risks; and emphasizing human-centered, community-led CCA. Vanuatu will continue to be affected by accelerating climate change. A strong foundation for CCA presents clear opportunities for further development. As food and nutrition insecurity and diet-related NCD risk factors are increasingly exacerbated by climate change, alongside other socioeconomic drivers, it is crucial to find new and innovative ways to increase transformational resilience and adaptive capacity that also improve nutrition and health outcomes.

The built environment is one of the critical areas of intervention for sustainable development. This study aims to investigate the sustainable and appropriate ways of designing Afghanistan’s built environment. To put forward a reliable mechanism of research, the study develops and uses three approaches. The first is to review the sustainable strategies applied in the design of the country’s first LEED-certified building, the World Bank Building in Kabul (WBBK). Secondly to understand the main concepts involved in the practice of designing for sustainability by analyzing five of the most influential books in the realm of design and sustainability. Finally, the findings from the review of the five books are reinforced with more literature associated with design and sustainability to analyze and evaluate the sustainable strategies of the WBBK. The study posits that although the building can promote the idea of a sustainable built environment in the country but there are several issues. Among the issues are, (1) Its high dependence on eco-technologies to reduce environmental impact rather than designing in relation to social and ecological systems, (2) Its insufficiency in providing a resilient design that is self-sufficient, flexible, and adaptive, and (3) Its lack of creating aesthetic experiences and cultural meaning for its occupants which are required for future designs and development. Furthermore, based on the findings and upon inquiring into the sustainable design of WBBK, the paper concluded with a set of recommendations to contribute towards the design of a sustainable built environment in Afghanistan.

The Lembata region is known for complex environmental conflicts between local institutions and external interests to protect endangered species such as the dugong and sperm whale. In this paper, we examine how the Tokajaeng community applies traditional rules (muro) in the face of environmental threats to the commons, such as depletion of forests and mangroves, and degradation of coral reefs. Critical Institutional Analysis is applied to examine institutional arrangements governing the commons. The approach acknowledges the complexity of institutions entwined in everyday social life, power relations that animate them, their socio-historical formation, and interplay between formal and informal institutions, as well as the convergence between modern and traditional arrangements. Fieldwork involved in-depth investigation on how the Tokajaengs create and applied rules (muro) and how they actively participated in the process of establishing new rules. We find that the muro responds reflexively to both internal and external dynamics in protecting the commons. They at once adapt to changes that threaten the commons in a way that each new threat corresponds with a new rule. Therefore, although the muro is a longstanding institution for local conservation, once suppressed for almost three decades during the New Order era, new arrangements have emerged since 2005 following political reforms in Indonesia. In the context of state efforts applying top-down conservation instruments, the muro shows the value of local institutional authority rooted in local belief systems that can take on new shapes through adaptive mechanisms. The muro therefore offers new opportunities for rethinking conservation in the Wallacea region, in ways that can actively engage local authority to devise and enforce rules to protect the environment.

The evolutionary mechanisms by which SARS-CoV-2 viruses adapt to mammalian hosts and, potentially, undergo antigenic evolution depend on the ways genetic variation is generated and selected within and between individual hosts. Using domestic cats as a model, we show that SARS-CoV-2 consensus sequences remain largely unchanged over time within hosts, while dynamic sub-consensus diversity reveals processes of genetic drift and weak purifying selection. We further identify a notable variant at amino acid position 655 in Spike (H655Y), which was previously shown to confer escape from human monoclonal antibodies. This variant arises rapidly and persists at intermediate frequencies in index cats. It also becomes fixed following transmission in two of three pairs. These dynamics suggest this site may be under positive selection in this system and illustrate how a variant can quickly arise and become fixed in parallel across multiple transmission pairs. Transmission of SARS-CoV-2 in cats involved a narrow bottleneck, with new infections founded by fewer than ten viruses. In RNA virus evolution, stochastic processes like narrow transmission bottlenecks and genetic drift typically act to constrain the overall pace of adaptive evolution. Our data suggest that here, positive selection in index cats followed by a narrow transmission bottleneck may have instead accelerated the fixation of S H655Y, a potentially beneficial SARS-CoV-2 variant. Overall, our study suggests species- and context-specific adaptations are likely to continue to emerge. This underscores the importance of continued genomic surveillance for new SARS-CoV-2 variants as well as heightened scrutiny for signatures of SARS-CoV-2 positive selection in humans and mammalian model systems.

Learning has long been and will continue to be a key issue in intelligent algorithms and systems design. Emulating the behavior and mechanisms of human learning by machines at such high levels as symbolic processing and such low levels as neuronal processing has long been a dominant interest among researchers worldwide. Neural networks, fuzzy logic, and evolutionary algorithms represent the three most active research areas. With advanced theoretical studies and computer technology, many promising algorithms and systems using these techniques have been designed and implemented for a wide range of applications. This Special Issue presents seven papers on learning in intelligent algorithms and systems design from researchers in Japan, China, Australia, and the U.S. <B>Neural Networks:</B> Emulating low-level human intelligent processing, or neuronal processing, gave birth of artificial neural networks more than five decades ago. It was hoped that devices based on biological neural networks would possess characteristics of the human brain. Neural networks have reattracted researchers' attention since the late 1980s when back-propagation algorithms were used to train multilayer feed-forward neural networks. In the last decades, we have seen promising progress in this research field yield many new models, learning algorithms, and real-world applications, evidenced by the publication of new journals in this field. <B>Fuzzy Logic:</B> Since L. A. Zadeh introduced fuzzy set theory in 1965, fuzzy logic has increasingly become the focus of many researchers and engineers opening up new research and problem solving. Fuzzy set theory has been favorably applied to control system design. In the last few years, fuzzy model applications have bloomed in image processing and pattern recognition. <B>Evolutionary Algorithms:</B> Evolutionary optimization algorithms have been studied over three decades, emulating natural evolutionary search and selection so powerful in global optimization. The study of evolutionary algorithms includes evolutionary programming (EP), evolutionary strategies (ESs), genetic algorithms (GAs), and genetic programming (GP). In the last few years, we have also seen multiple computational algorithms combined to maximize system performance, such as neurofuzzy networks, fuzzy neural networks, fuzzy logic and genetic optimization, neural networks, and evolutionary algorithms. This Special Issue also includes papers that introduce combined techniques. <B>Wang</B> et al present an improved fuzzy algorithm for enhanced eyeground images. Examination of the eyeground image is effective in diagnosing glaucoma and diabetes. Conventional eyeground image quality is usually too poor for doctors to obtain useful information, so enhancement is required to eliminate this. Due to details and uncertainties in eyeground images, conventional enhancement such as histogram equalization, edge enhancement, and high-pass filters fail to achieve good results. Fuzzy enhancement enhances images in three steps: (1) transferring an image from the spatial domain to the fuzzy domain; (2) conducting enhancement in the fuzzy domain; and (3) returning the image from the fuzzy domain to the spatial domain. The paper detailing this proposes improved mapping and fast implementation. <B>Mohammadian</B> presents a method for designing self-learning hierarchical fuzzy logic control systems based on the integration of evolutionary algorithms and fuzzy logic. The purpose of such an approach is to provide an integrated knowledge base for intelligent control and collision avoidance in a multirobot system. Evolutionary algorithms are used as in adaptation for learning fuzzy knowledge bases of control systems and learning, mapping, and interaction between fuzzy knowledge bases of different fuzzy logic systems. Fuzzy integral has been found useful in data fusion. <B>Pham and Wagner</B> present an approach based on the fuzzy integral and GAs to combine likelihood values of cohort speakers. The fuzzy integral nonlinearly fuses similarity measures of an utterance assigned to cohort speakers. In their approach, Gas find optimal fuzzy densities required for fuzzy fusion. Experiments using commercial speech corpus T146 show their approach achieves more favorable performance than conventional normalization. Evolution reflects the behavior of a society. <B>Puppala and Sen</B> present a coevolutionary approach to generating behavioral strategies for cooperating agent groups. Agent behavior evolves via GAs, where one genetic algorithm population is evolved per individual in the cooperative group. Groups are evaluated by pairing strategies from each population and best strategy pairs are stored together in shared memory. The approach is evaluated using asymmetric room painting and results demonstrate the superiority of shared memory over random pairing in consistently generating optimal behavior patterns. Object representation and template optimization are two main factors affecting object recognition performance. <B>Lu</B> et al present an evolutionary algorithm for optimizing handwritten numeral templates represented by rational B-spline surfaces of character foreground-background-distance distribution maps. Initial templates are extracted from training a feed-forward neural network instead of using arbitrarily chosen patterns to reduce iterations required in evolutionary optimization. To further reduce computational complexity, a fast search is used in selection. Using 1,000 optimized numeral templates, the classifier achieves a classification rate of 96.4% while rejecting 90.7% of nonnumeral patterns when tested on NIST Special Database 3. Determining an appropriate number of clusters is difficult yet important. <B>Li</B> et al based their approach based on rival penalized competitive learning (RPCL), addressing problems of overlapped clusters and dependent components of input vectors by incorporating full covariance matrices into the original RPCL algorithm. The resulting learning algorithm progressively eliminates units whose clusters contain only a small amount of training data. The algorithm is applied to determine the number of clusters in a Gaussian mixture distribution and to optimize the architecture of elliptical function networks for speaker verification and for vowel classification. Another important issue on learning is <B>Kurihara and Sugawara's</B> adaptive reinforcement learning algorithm integrating exploitation- and exploration-oriented learning. This algorithm is more robust in dynamically changing, large-scale environments, providing better performance than either exploitation- learning or exploration-oriented learning, making it is well suited for autonomous systems. In closing we would like to thank the authors who have submitted papers to this Special Issue and express our appreciation to the referees for their excellent work in reading papers under a tight schedule.

BackgroundThe Multispecialty Community Provider (MCP) model was introduced to the NHS as a primary care-led, community-based integrated care model to provide better quality, experience and value for local populations.ObjectivesThe three main objectives were to (1) articulate the underlying programme theories for the MCP model of care; (2) identify sources of theoretical, empirical and practice evidence to test the programme theories; and (3) explain how mechanisms used in different contexts contribute to outcomes and process variables.DesignThere were three main phases: (1) identification of programme theories from logic models of MCP vanguards, prioritising key theories for investigation; (2) appraisal, extraction and analysis of evidence against a best-fit framework; and (3) realist reviews of prioritised theory components and maps of remaining theory components.Main outcome measuresThe quadruple aim outcomes addressed population health, cost-effectiveness, patient experience and staff experience.Data sourcesSearches of electronic databases with forward- and backward-citation tracking, identifying research-based evidence and practice-derived evidence.Review methodsA realist synthesis was used to identify, test and refine the following programme theory components: (1) community-based, co-ordinated care is more accessible; (2) place-based contracting and payment systems incentivise shared accountability; and (3) fostering relational behaviours builds resilience within communities.ResultsDelivery of a MCP model requires professional and service user engagement, which is dependent on building trust and empowerment. These are generated if values and incentives for new ways of working are aligned and there are opportunities for training and development. Together, these can facilitate accountability at the individual, community and system levels. The evidence base relating to these theory components was, for the most part, limited by initiatives that are relatively new or not formally evaluated. Support for the programme theory components varies, with moderate support for enhanced primary care and community involvement in care, and relatively weak support for new contracting models.Strengths and limitationsThe project benefited from a close relationship with national and local MCP leads, reflecting the value of the proximity of the research team to decision-makers. Our use of logic models to identify theories of change could present a relatively static position for what is a dynamic programme of change.ConclusionsMultispecialty Community Providers can be described as complex adaptive systems (CASs) and, as such, connectivity, feedback loops, system learning and adaptation of CASs play a critical role in their design. Implementation can be further reinforced by paying attention to contextual factors that influence behaviour change, in order to support more integrated working.Future workA set of evidence-derived ‘key ingredients’ has been compiled to inform the design and delivery of future iterations of population health-based models of care. Suggested priorities for future research include the impact of enhanced primary care on the workforce, the effects of longer-term contracts on sustainability and capacity, the conditions needed for successful continuous improvement and learning, the role of carers in patient empowerment and how community participation might contribute to community resilience.Study registrationThis study is registered as PROSPERO CRD42016039552.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

SUMMARYIn order to reduce the environmental impact of agriculture and improve the resilience and sustainability of our food systems, there is an increasing interest in shifting from the present agricultural systems, which are characterized by high external inputs, to low-input productive systems characterized by high resilience and sustainability. Purposely developed varieties are needed for the latter. With the rapid disappearance of landraces, heterogeneous populations such as composite cross populations (CCPs) or line mixtures, developed through evolutionary plant breeding, could be the ideal source of breeding material for the development of new cultivars for low-input productive systems. Parental lines of CCPs should be selected among old breeding lines, varieties or landraces because the specific characteristics required for low-input or organic farming systems might have been lost during selection of modern varieties. In the current scenario of renewed interest in evolutionary plant breeding, the evolution of diversity in heterogeneous populations needs to be better investigated to maximize the advantages that can be obtained by their utilization.The present paper reports on the analysis of 88 barley plants chosen randomly from a CCP, namely AUT DBA (where AUT indicates autumn sowing and DBA is the acronym of the former Department) that was multiplied for 13 years under a low-input management system without any conscious human selection, aiming to investigate the morphological diversity still existing in the population and its potential value as source of breeding material for low-input/organic agriculture and understanding the traits that contributed to the adaptive success of certain groups of individuals.Eighteen plant and spike morphological traits were analysed using bi-dimensional spatial analysis, cluster analysis, non-parametric tests and multivariate approaches. Low lodging and loose smut damage were observed in the CCP where several individuals were superior to the best control for at least one of the four yield-related traits, namely spike weight, number of seeds per spike, weight of seeds in a spike and grain weight. Three morphological clusters were identified using cluster analysis. Clusters 2 and 3 grouped the largest number of CCP individuals which, compared with those in cluster 1, were characterized mainly by heavier spikes with higher seed number, taller culms and early flowering. Interestingly, the plant architecture of all the controls was different from that of the most frequent genotypes in the CCP, showing that low-input systems may require a plant architecture different from the one usually considered as the most suitable for high-input systems. Taking advantage of results from Raggi et al. (2015), phenotypic data were also analysed according to individual genetic group assignment. Results suggest that plant height at the beginning of stem elongation, and days to heading, together with traits related to culm and leaf morphology, could have played a significant role in determining the success of plants from genetic group D, which is the group most represented in the CCP.According to the wide range of morphological diversity existing in the AUT DBA and the high percentage of lines that show favourable combinations of different traits, this population could be a useful gene-pool from which to select lines for breeding activities. Even though further use of the CCP for breeding purposes may be limited by its possible evolution, there are different ways of manipulating the CCP to counteract the undesirable changes without great economic and/or technical efforts. The high number of multi-locus genotypes and the evolutionary responses observed in AUT DBA show that the prediction that phenotypic micro-evolution in natural systems may be limited by low genetic variances in harsh environments and low selection pressure in good environments is not necessarily true for low-input systems.

Patient alarms occur frequently in hospitals, but they often do not require clinical intervention. As a result, clinicians can become desensitized to alarms and may fail to respond to them, including to alarms that are clinically relevant. Clinicians and researchers have investigated ways to make alarms more informative by adding delays (Gorges, Markewitz, & Westenskow, 2009) and developing ‘smart’ alarm systems (Imhoff, Kuhls, Gather, & Fried, 2009), but no approach has been universally accepted (for a review see Graham & Cvach, 2010). We are investigating the potential for head-worn displays (HWDs) to help mobile clinicians remotely monitor multiple patients while they perform other clinical tasks. We developed a computerized, multiple-patient monitoring microworld, and designed an initial study to test the efficacy of continuous displays for patient monitoring when added to conventional alarms. Specifically, the study tested whether continuous patient information, displayed on a conventional monitor, reduces patient waiting time for treatment and helps participants prioritize clinically relevant alarms over clinically irrelevant alarms. Clinically relevant alarms occurred when numerical values for heart rate, blood pressure or oxygen saturation becoming too high or too low. Clinically irrelevant alarms took the form of impossibly high or low values for any of the three vital signs, representing a signal failure. Participants navigated between patient rooms in the microworld using the keyboard and they responded to patient alarms using mouse clicks. The data showed that the total accumulated time in the 30-minute scenario that patients with a clinically relevant alarm were left waiting was significantly shorter in the alarms plus monitor condition (M = 11.6 min, SD = 4.0) than in the alarms only condition (M = 15.9 min, SD = 1.7); t(22) = 3.41, p = .001; d = 1.39. Participants in the alarms plus monitor condition relied less on the nursing aide to treat patient alarms (M = 6.25 alarms, SD = 6.70) than did participants in the alarms only condition (M = 11.5 alarms, SD = 4.36); t(22) = 2.27, p = .02; d = .93. We surmise that participants who had access to the continuous patient information could anticipate patient deteriorations and could distinguish clinically relevant versus irrelevant alarms without having to move to the patient’s bedside. Note that the difference between conditions was found without requiring participants to perform a secondary task. Although the present study is highly simplified, it demonstrates that situations can be set up in the microworld that show the advantage of having a continuous display of patient vital signs. We are currently testing whether the above results hold when continuous patient information is presented on a HWD and the participant is distracted by an ongoing task. Outcomes of the program of research will help determine whether or not head-worn displays could help clinicians monitor the status of multiple patients, while also potentially improving their ability to carry out other clinical tasks.

Antioxidant reaction in leaves of the representatives of Amelanchier Medik. genus introduced in Steppe Pridniprov’e during vegetative period is studied. Activity of bensidin-peroxidase (BPOD), guaiacol-peroxidase (GPOD) and catalase (CAT) in leaves of four kinds Amelanchier Medik is analysed. Specific features of dynamics of enzymes activity in leaves of representatives of Amelanchier Medik. genus are defined according to phases of seasonal development and in reply to action of hydrothermal stress. On the basis of the received results the wide range of interspecific variability of enzymes activity in leaves of Amelanchier kinds, introduced in new conditions of existance is shown. The studied kinds were characterised by high activity ВРОD in all vegetative season. The greatest activity in leaves of all kinds was shown in a phase of secondary growth, in the most adverse hydrothermal mode that testified to passage of adaptive processes in plants. It is established, that unlike A. ovalis in which leaves level of activity BPOD was equal enough, other kinds in process of ontogenesis have shown sharper differences in activity of enzyme. The difference was essential, especially at A. canadensis in which leaves in May and June sharp falling of activity in 4,0 and 2,9 times accordingly in comparison with April was noticed, and in July and August – sharp increase that testified to a stressful condition of plants. The opposite tendency is found out in dynamics of activity GPOD i CAT. In the beginning phases of active growth (April) at all kinds the highest activity of enzymes, but, since May and till the end of the supervision period was observed, activity sharply went down at all kinds Amelanchier. Essential activation GPOD in a phase of active growth can be connected with processes of lignification to an greater degree, rather than with protection against oxidative stress. Thus in leaves of A. ovalis and A. canadensis higher activity gvaiacol-peroxidase, than at A. spicata and A. florida was observed. Small increase of activity was observed in June and to an greater measure in three kinds: A. ovalis, A. florida і A. spicata. In leaves of A. canadensis activity increase was marked in August in comparison with the period from May till July. The analysis of dynamics of catalase activity in leaves of representatives Amelanchier Medik. has shown similitude as well as at gvaiacol-peroxidase: the highest level was observed in April, and further there was an essential recession of enzyme activity. Dynamics of catalase activity during vegetation has appeared the most similar at kinds of A. ovalis and A. canadensis. In leaves of A. florida unlike last kinds the small peak of activity in July was marked, and in August activity again went down on 21,8 % in comparison with July. A. spicata has shown essential increase of activity САТ in August in comparison with July in 6,4 times. Thus, found out different directions of activity changes of oxidoreductases specify in participation antioxidant systems in realisation of different ways of adaptation of kinds-introducents of Amelanchier Medik. genus in ontogenesis process in the conditions of Pridneprov’e Steppe. Variability of enzymes activity level in leaves of Amelanchier Medik. in the course of vegetation means the adaptation to conditions of environment and as a whole displays adaptive ability of the investigated kinds at the expense of high antioxidant potential to counteract development of oxidative stress at action adverse of abiotic factors.

BackgroundIn 2008, the National Institute for Health Research (NIHR) in England established nine Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) to develop partnerships between universities and local NHS organisations focused on improving patient outcomes through the conduct and application of applied health research.ObjectivesThe study explored how effectively the CLAHRCs supported the ‘translation’ of research into patient benefit, and developed ways of doing applied research that maximised its chances of being useful to the service and the capacity of the NHS to respond. It focused on three issues: (1) how the NHS influenced the CLAHRCs, and vice versa; (2) how effective multistakeholder and multidisciplinary research and implementation teams were built in the CLAHRCs; (3) how the CLAHRCs supported the use of research knowledge to change commissioning and clinical behaviour for patient benefit.MethodsThe study adopted an adaptive and emergent approach and incorporated a formative evaluation. An initial phase mapped the landscape of all nine CLAHRCs and the context within which they were established, using document analysis, workshops and interviews, and a literature review. This mapping exercise identified the three research questions that were explored in phase 2 through a stakeholder survey of six CLAHRCs, in-depth case studies of two CLAHRCs, validation interviews with all nine CLAHRCs and the NIHR, and document review.Results(1) The local remit and the requirement for matched NHS funding enhanced NHS influence on the CLAHRCs. The CLAHRCs achieved positive change among those most directly involved, but the larger issue of whether or not the CLAHRCs can influence others in and across the NHS remains unresolved. (2) The CLAHRCs succeeded in engaging different stakeholder groups, and explored what encouraged specific groups to become involved. Being responsive to people’s concerns and demonstrating ‘quick wins’ were both important. (3) There was some evidence that academics were becoming more interested in needs-driven research, and that commissioners were seeing the CLAHRCs as a useful source of support. A growing number of completed projects had demonstrated an impact on clinical practice.ConclusionsThe CLAHRCs have included NHS decision-makers in research and researchers in service decision-making, and encouraged research-informed practice. All the CLAHRCs (as collaborations) adopted relationship models. However, as the complexities of the challenges they faced became clearer, it became obvious that a focus on multidisciplinary relationships was necessary, but not sufficient on its own. Attention also has to be paid to the systems within and through which these relationships operate.Recommendations for researchFuture research should compare areas with an Academic Health Science Network (AHSN) and a CLAHRC with areas with just an AHSN, to understand the difference CLAHRCs make. There should be work on understanding implementation, such as the balancing of rigour and relevance in intervention studies; systemic barriers to and facilitators of implementation; and tailoring improvement interventions. There is also a need to better understand the factors that support the explicit use of research evidence across the NHS, and the processes and mechanisms that support the sustainability and scale-up of implementation projects. Research should place emphasis on examining the role of patient and public involvement in CLAHRCs and of the relation between CLAHRCs and NHS commissioners.FundingThe NIHR Health Services and Delivery Research programme.

Pediatric chronic graft-versus-host disease (cGvHD) contributes to poor quality of life and increased morbidity and mortality in long term survivors of hematopoietic stem cell transplant (HSCT). Given the insidious nature of cGvHD, diagnosing cGvHD in children according to the National Institutes of Health Consensus Criteria (NIH-CC) can be challenging, particularly in the early phase of disease development. Diagnostic cGvHD biomarkers could aid in diagnosis. The Applied Biomarkers of Late Effects / Pediatric Blood and Marrow Transplant Consortium (ABLE / PBMTC 1202) study was a prospective, multi-institution study at 27 pediatric HSCT centers that evaluated biomarkers of cGvHD. Detailed clinical evaluation of cGvHD, including central adjudication when necessary, occurred as per the NIH-CC. Of the 302 enrolled children, 233 were included in this diagnostic cGvHD biomarker analysis, including 43 with cGvHD and 190 non-cGVHD controls. Peripheral blood was drawn into a STRECK tube at the onset of cGvHD and before escalation of immune suppression, sent overnight to a central laboratory, and evaluated by flow cytometry. Five flow cytometric antibody panels consisting of 76 combinations of cell surface markers were used to delineate subpopulations of T, Regulatory T (Tregs, CD4+CD127LowCD25+), B, NK, and myeloid cells. We analyzed each marker in two ways. First, to control for normal post-HSCT immune reconstitution, we divided cGvHD subjects into early- (day 0-120), mid- (day 121-240), and late-onset (&gt;day 240) and compared their marker values against non-cGVHD controls at day 100, 6-months, and 12-months, respectively, using fixed effect linear regression models. Second, we compared the marker values of all cGvHD subjects at diagnosis against the marker values of non-cGvHD controls at all three time points and used mixed effect linear regression models to account for within-subject correlations. A cellular subpopulation was considered a clinically relevant and potential diagnostic cGvHD biomarker if all 4 criteria were met: a) the effect ratio (mean marker value of cGvHD subjects over non-cGvHD controls) was ≥1.3 or ≤0.75, b) the p-value was ≤.05, c) the receiver-operating characteristic area under the curve was ≥0.60, and d) the marker was detected by both the mixed effect model and in the same direction across all measurement time points in the fixed effect models. Using these criteria, 8 cellular subpopulations arose as potential diagnostic biomarkers of pediatric cGvHD (Table). Key subsets identified in cGvHD patients included decreased proportions of naïve helper T cells (CD4+CD45RA+, PD1-CD4+CD45RA+, CCR7+CD4+CD45RA+, CD27+CD4+CD45RA+), decreased naïve and recently emigrated Tregs (CD31+CD45RA+, PD1-CD45RA+), and decreased non-cytolytic regulatory NK cells (CD56BrightCD335High, CD56BrightPerforinLow). CD4+ recent thymic emigrants (CD4+CD31+CD45RA+), markers of thymopoeisis, were also significantly decreased in cGvHD (p=0.01) but did not meet all the required biomarker criteria. Evaluation of specific subsets of pediatric cGvHD showed that CD21LowCD19+ B cells were lower in patients with pulmonary (n=12) compared to a mucocutaneous predominant phenotype (n=31) (p=0.048). Cases of progressive cGvHD (n=18), characterized by concurrent acute GvHD features (overlap syndrome), had decreased proportions of CD19 B cells, T3 transitional B cells (CD38LowCD10-) and mature naïve B cells (IgD+CD27-), decreased naïve helper T cells (CCR7+CD4+CD45RA+) and increased activated NK cells (CD56dimCD69+) (all p&lt;0.05). No cellular subsets were associated with the number of organ systems involved with cGvHD or global cGvHD severity according to the NIH-CC. Using a well characterized cohort of pediatric patients with cGvHD, the ABLE / PBTMC 1202 study showed that a variety of subpopulations of naïve helper T cells, Tregs, and regulatory NK cells were associated with cGvHD. Additional B-cell markers were associated with progressive cGvHD in children. These data support alterations in thymopoeisis and decreases in regulatory T- and NK-cell populations underlying pediatric cGvHD. Future work includes the addition of non-cellular plasma markers into a clinically applicable diagnostic biomarker algorithm to aid clinicians in the accurate diagnosis of pediatric cGvHD, as well as further validation in the ABLE 2.0 / Pediatric Transplant Cellular Therapy Consortium 1901 study. Disclosures Wahlstrom: Pharmacyclics: Current Employment. Pulsipher:Mesoblast: Honoraria; Adaptive: Research Funding; Miltenyi: Honoraria, Research Funding; Bellicum: Honoraria; Jasper: Honoraria; Novartis: Honoraria.

International Journal of Innovation - IJI completes 7 yearsInternational Journal of Innovation - IJI has now 7 years old! In this editorial comment, we not only want to talk about our evolution but get even closer to the IJI community. It is our first editorial comment, a new IJI's communication channel. Some of the changes are already described on our website.IJI is an innovation-focused journal that was created to support scientific research and thereby contribute to practice. Also, IJI was born internationally, receiving and supporting research from around the world. We welcome articles in Portuguese, English, and Spanish.We have published eight volumes in IJI since 2013, totaling 131 articles. Our journal is indexed in: Dialnet and Red Iberoamericana de Innovación y Conocimiento Científico; Ebsco Host; Erih Plus; Gale - Cengage Learning; Latindex; Proquest; Redalyc; Web of Science Core Collection (Emerging Sources Citation Index), among others. We provide free access “open access” to all its content. Articles can be read, downloaded, copied, distributed, printed and / or searched.We want to emphasize that none of this would be possible without the authors that recognized in IJI a relevant journal to publicize their work. Nor can we fail to mention the tireless and voluntary action of the reviewers, always contributing to the articles' improvement and skilling up our journal, more and more.All editors who passed through IJI have a fundamental role in this trajectory. And, none of this would be possible without the editorial team of Uninove. Everyone who passed and the current team. We want to express that our work as current editors of IJI would not be possible without you. Changes in the Intenational Journal of Innovation – IJIAs we mentioned earlier, IJI was born in 2013. And, over time, we are improving its structure always to improve it. In this section, we want to show some changes we made. We intend that editorial comments become a communication channel and that they can help our readers, authors, and reviewers to keep up with these changes.Although IJI is a comprehensive Innovation journal, one of the changes we want to inform you is that now, at the time of submission, the author will choose one of the available topics that best suit your article. The themes are: Innovative Entrepreneurship; Innovation and Learning; Innovation and Sustainability; Internationalization of Innovation; Innovation Systems; Emerging Innovation Themes and; Digital Transformation. Below, we present each theme so that everyone can get to know them:Innovative Entrepreneurship: emerging markets provided dynamic advantages for small businesses and their entrepreneurs to exploit the supply flows of resources, capacities, and knowledge-based on strategies oriented to the management of innovation. Topics covered in this theme include, for example: resources and capabilities that support innovative entrepreneurship; innovation habitats (Universities, Science and Technology Parks, Incubators and Accelerators) and their influences on the development of knowledge-intensive spin-offs and start-ups; open innovation, triple/quadruple helix, knowledge transfer, effectuation, bricolage and co-creation of value in knowledge-intensive entrepreneurship ecosystems; and adequate public policies to support innovative entrepreneurship.Innovation and Learning: discussions on this topic focus on the relationship between learning and innovation as topics with the potential to improve teaching and learning. They also focus on ways in which we acquire knowledge through innovation and how knowledge encourages new forms of innovation. Topics covered in this theme include, for example: innovative projects for learning; innovation-oriented learning; absorptive capacity; innovation in organizational learning and knowledge creation; unlearning and learning for technological innovation; new learning models; dynamics of innovation and learning; skills and innovation.Innovation and Sustainability: discussions on this topic seek to promote the development of innovation with a focus on sustainability, encouraging new ways of thinking about sustainable development issues. Topics covered in this theme include, for example: development of new sustainable products; circular economy; reverse logistic; smart cities; technological changes for sustainable development; innovation and health in the scope of sustainability; sustainable innovation and policies; innovation and education in sustainability and social innovation.Internationalization of Innovation: the rise of developing countries as an innovation center and their new nomenclature for emerging markets have occupied an important place in the international research agenda on global innovation and Research and Development (RD) strategies. Topics covered in this theme include, for example: resources and capabilities that support the internationalization of innovation and RD; global and local innovation and RD strategies; reverse innovation; internationalization of start-ups and digital companies; development of low-cost products, processes and services with a high-value offer internationalized to foreign markets; innovations at the base of the pyramid, disruptive and/or frugal developed and adopted in emerging markets and replicated in international markets; institutional factors that affect firms' innovation efforts in emerging markets.Innovation Systems: regulation and public policies define the institutional environment to drive innovation. Topics include industrial policy, technological trends and macroeconomic performance; investment ecosystem for the development and commercialization of new products, based on government and private investments; investment strategies related to new companies based on science or technology; Technology transfer to, from and between developing countries; technological innovation in all forms of business, political and economic systems. Topics such as triple helix, incubators, and other structures for cooperation, fostering and mobilizing innovation are expected in this section.Emerging Themes: from the applied themes, many emerging problems have a significant impact on management, such as industry 4.0, the internet of things, artificial intelligence or social innovations, or non-economic benefits. Intellectual property is treated as a cognitive database and can be understood as a technological library with the registration of the product of human creativity and invention. Social network analysis reveals the relationships between transforming agents and other elements; therefore, encouraged to be used in research and submitted in this section. The theoretical field not fully developed is not a barrier to explore any theme or question in this section.Digital Transformation: this interdisciplinary theme covers all the antecedents, intervening, and consequent effects of digital transformation in the field of technology-based companies and technology-based business ventures. The technological innovator (human side of innovation) as an entrepreneur, team member, manager, or employee is considered an object of study either as an agent of innovation or an element of the innovation process. Digital change or transformation is considered as a process that moves from the initial status to the new digital status, anchored in the theories of innovation, such as adoption, diffusion, push / pull of technology, innovation management, service innovation, disruptive innovation, innovation frugal innovation economy, organizational behavior, context of innovation, capabilities and transaction costs. Authors who submit to IJI will realize that they now need to make a structured summary at the time of submission. The summary must include the following information:(maximum of 250 words + title + keywords = Portuguese, English and Spanish).Title.Objective of the study (mandatory): Indicate the objective of the work, that is, what you want to demonstrate or describe.Methodology / approach (mandatory): Indicate the scientific method used in carrying out the study. In the case of theoretical essays, it is recommended that the authors indicate the theoretical approach adopted.Originality / Relevance (mandatory): Indicate the theoretical gap in which the study is inserted, also presenting the academic relevance of the discipline.Main results (mandatory): briefly indicate the main results achieved.Theoretical-methodological contributions (mandatory): Indicate the main theoretical and / or methodological implications that have been achieved with the results of the study.Social / managerial contributions (mandatory): Indicate the main managerial and / or social implications obtained through the results of the study.Keywords: between three and five keywords that characterize the work. Another change regarding the organization of the IJI concerns the types of work. In addition to the Editorial Comment and Articles, the journal will include Technological Articles, Perspectives, and Reviews. Thus, when submitting a study, authors will be able to choose from the available options for types of work. Throughout the next issues of the IJI, in the editorial comments, we will pass on pertinent information about every kind of work, to assist the authors in their submissions.Currently, the IJI is available to readers with new works three times a year (January-April; May-August; September-December) with publications in English, Portuguese and Spanish. From what comes next, we will have some changes in the periodicity. Next stepsAs editors, we want the IJI to continue with a national and international impact and increase its relevance in the indexing bases. For this, we will work together with the entire editorial team, reviewers, and authors to improve the work. We will do our best to give full support to the evaluators who are so dedicated to making constructive evaluations to the authors. We will also support authors with all the necessary information.With editorial comments, we intend to pass on knowledge to readers, authors, and reviewers to improve the articles gradually. We also aim to support classroom activities and content.Even with the changes reported here, we continue to accept all types of work, as long as they have an appropriate methodology. We also maintain our scope and continue to publish all topics involving innovation. We want to support academic events on fast tracks increasingly. About the articles in this edition of IJIThis issue is the first we consider the new organization of the International Journal of Innovation - IJI. We started with this editorial comment talking about the changes and improvements that we are making at IJI—as an example, showing the reader, reviewer, and author that the scope remains the same. However, at the time of submission, the author has to choose one of the proposed themes and have a mandatory abstract structured in three languages (English, Portuguese, and Spanish).In this issue, we have a section of perspectives that addresses the “Fake Agile” phenomenon. This phenomenon is related to the difficulties that companies face throughout the agile transformation, causing companies not to reach full agility and not return to their previous management model.Next, we publish the traditional section with scientific articles. The article “Critical success factors of the incubation network of enterprises of the IFES” brings critical success factors as the determining variables to keep business incubators competitive, improving their organizational processes, and ensuring their survival. Another published article, “The sharing economy dilemma: the response of incumbent firms to the rise of the sharing economy”, addresses the sharing economy in terms of innovation. The results of the study suggest that the current response to the sharing economy so far is moderate and limited. The article “Analysis of the provision for implementation of reverse logistics in the supermarket retail” made it possible to observe that through the variables that define retail characteristics, it is not possible to say whether a supermarket will implement the reverse logistics process. And the article “Capability building in fuzzy front end management in a high technology services company”, whose main objective was to assess the adherence among Fuzzy Front End (FFE) facilitators, was reported in the literature its application in the innovation process of a company, an innovative multinational high-tech services company.We also published the article “The evolution of triple helix movement: an analysis of scientific communications through bibliometric technique”. The study is a bibliometric review that brings essential contributions to the area. This issue also includes a literature review entitled “Service innovation tools: a literature review” that aimed to systematically review the frameworks proposed and applied by the literature on service innovation.The technological article “A model to adopt Enterprise Resource Planning (ERP) and Business Intelligence (BI) among Saudi SMEs”, in a new IJI publication section, addresses the main issues related to the intention to use ERPBI in the Saudi private sector.As we mentioned earlier in this editorial, IJI has a slightly different organization. With the new format, we intend to contribute to the promotion of knowledge in innovation. Also, we aim to increasingly present researchers and students with possibilities of themes and gaps for their research and bring insights to professionals in the field.Again, we thank the reviewers who dedicate their time and knowledge in the evaluations, always helping the authors. We wish you, readers, to enjoy the articles in this issue and feel encouraged to send your studies in innovation to the International Journal of Innovation - IJI.