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Journal articles on the topic 'Interactive Compromise Approach'
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Gupta, Neha, Irfan Ali, and Abdul Bari. "Interactive Fuzzy Goal Programming approach in multi-response stratified sample surveys." Yugoslav Journal of Operations Research 26, no. 2 (2016): 241–58. http://dx.doi.org/10.2298/yjor141021005g.
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In this paper, we applied an Interactive Fuzzy Goal Programming (IFGP) approach with linear, exponential and hyperbolic membership functions, which focuses on maximizing the minimum membership values to determine the preferred compromise solution for the multi-response stratified surveys problem, formulated as a Multi- Objective Non Linear Programming Problem (MONLPP), and by linearizing the nonlinear objective functions at their individual optimum solution, the problem is approximated to an Integer Linear Programming Problem (ILPP). A numerical example based on real data is given, and comparison with some existing allocations viz. Cochran?s compromise allocation, Chatterjee?s compromise allocation and Khowaja?s compromise allocation is made to demonstrate the utility of the approach.
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Tsay, M. T., W. M. Lin, and J. L. Lee. "Interactive best-compromise approach for operation dispatch of cogeneration systems." IEE Proceedings - Generation, Transmission and Distribution 148, no. 4 (2001): 326. http://dx.doi.org/10.1049/ip-gtd:20010163.
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Mandal, Nirmal Kumar. "Geometric Programming Approach to an Interactive Fuzzy Inventory Problem." Advances in Operations Research 2011 (2011): 1–17. http://dx.doi.org/10.1155/2011/521351.
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An interactive multiobjective fuzzy inventory problem with two resource constraints is presented in this paper. The cost parameters and index parameters, the storage space, the budgetary cost, and the objective and constraint goals are imprecise in nature. These parameters and objective goals are quantified by linear/nonlinear membership functions. A compromise solution is obtained by geometric programming method. If the decision maker is not satisfied with this result, he/she may try to update the current solution to his/her satisfactory solution. In this way we implement man-machine interactive procedure to solve the problem through geometric programming method.
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Abderrahim, Zeineb, and Mohamed Salim Bouhlel. "Compression and Visualization Interactive of 3D Mesh." International Journal of Applied Mathematics and Informatics 15 (November 16, 2021): 85–92. http://dx.doi.org/10.46300/91014.2021.15.14.
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The combination of compression and visualization is mentioned as perspective, very few articles treat with this problem. Indeed, in this paper, we proposed a new approach to multiresolution visualization based on a combination of segmentation and multiresolution mesh compression. For this, we proposed a new segmentation method that benefits the organization of faces of the mesh followed by a progressive local compression of regions of mesh to ensure the refinement local of the three-dimensional object. Thus, the quantization precision is adapted to each vertex during the encoding /decoding process to optimize the rate-distortion compromise. The optimization of the treated mesh geometry improves the approximation quality and the compression ratio at each level of resolution. The experimental results show that the proposed algorithm gives competitive results compared to the previous works dealing with the rate-distortion compromise and very satisfactory visual results.
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Walker, H. Douglas. "An alternative approach to goal programming." Canadian Journal of Forest Research 15, no. 2 (1985): 319–25. http://dx.doi.org/10.1139/x85-052.
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An alternative approach to goal programming is described. The approach incorporates both cardinal weighting and ordinal ranking of deviation variables, and does not require apriori specification of goal target levels. Ordinal rankings are used to describe feasible and optimal policy spaces. Cardinal weightings are then adjusted through an interactive procedure until the decision makers are satisfied with the weightings and with the resulting compromise solution. The procedure is demonstrated using a hypothetical reforestation budget allocation problem.
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Baril, Chantal, Soumaya Yacout, and Bernard Clément. "Collaborative Decision-Making in Product Design: An Interactive Multiobjective Approach." Journal of Industrial Engineering 2013 (January 3, 2013): 1–12. http://dx.doi.org/10.1155/2013/201907.
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This paper presents a new procedure to solve multiobjective problems, where the objectives are distributed to various working groups and the decision process is centralized. The approach is interactive and considers the preferences of the working groups. It is based on two techniques: an interactive technique that solves multi-objective problems based on goal programming, and a technique called “linear physical programming” which considers the preferences of the working groups. The approach generates Pareto-optimal solutions. It guides the director in the determination of target values for the objective functions. The approach was tested on two problems that present its capacity to generate Pareto-optimal solutions and to show the convergence to compromise solutions for all the working groups.
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Kuo, Cheng-Chien, and Hong-Chan Chang. "Solving the bi-objective scheduling of switched capacitors using an interactive best-compromise approach." Electric Power Systems Research 46, no. 2 (1998): 133–40. http://dx.doi.org/10.1016/s0378-7796(98)00030-3.
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Current, John R., Charles S. Revelle, and Jared L. Cohon. "An interactive approach to identify the best compromise solution for two objective shortest path problems." Computers & Operations Research 17, no. 2 (1990): 187–98. http://dx.doi.org/10.1016/0305-0548(90)90042-6.
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Wang, Weichao, and Aidong Lu. "Interactive Wormhole Detection and Evaluation." Information Visualization 6, no. 1 (2007): 3–17. http://dx.doi.org/10.1057/palgrave.ivs.9500144.
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Wormhole attacks in wireless networks can severely deteriorate network performance and compromise security through spoiling the routing protocols and weakening the security enhancements. This paper develops an approach, interactive visualization of wormholes (IVoW), to monitor and detect such attacks in large-scale wireless networks in real time. We characterize the topology features of a network under wormhole attacks through the node position changes and visualize the information at dynamically adjusted scales. We integrate an automatic detection algorithm with appropriate user interactions to handle complicated scenarios that include a large number of moving nodes and multiple wormhole attackers. Various visual forms have been adopted to assist in the understanding and analysis of reconstructed network topology and to improve the detection accuracy. Extended simulation has demonstrated that the proposed approach can effectively locate the fake neighbor connections without introducing many false alarms. IVoW does not require the wireless nodes to be equipped with any special hardware, thus avoiding any additional cost. We have performed user studies to evaluate the effectiveness of our approach and demonstrate that visual analysis can be successfully combined with network security mechanisms to greatly improve intrusion detection capabilities.
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White, Jonathan, Phil Legg, and Alan Mills. "Interactive Cyber-Physical System Hacking." Journal of The Colloquium for Information Systems Security Education 10, no. 1 (2023): 6. http://dx.doi.org/10.53735/cisse.v10i1.163.
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Cyber Security as an education discipline covers a variety of topics that can be challenging and complex for students who are new to the subject domain. With this in mind, it is crucial that new students are motivated by understanding both the technical aspects of computing and networking, and the real-world implications of compromising these systems. In this paper we approach this task to create an engaging outreach experience, on the concept of cyber-physical systems, using a Scalextric slot-car racetrack. In the activity, students seek to compromise the underlying computer system that is linked to the track and updates the scoreboard system, in order to inflate their own score and to sabotage their opponent. Our investigation with this technique shows high levels of engagement whilst providing an excellent platform for teaching basic concepts of enumeration, brute forcing, and privilege escalation. It also provokes discussion on how this activity relates to real-world cases of cyber-physical systems security in the sports domain and beyond.
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Maroulis, Stavros, Vassilis Stamatopoulos, George Papastefanatos, and Manolis Terrovitis. "Visualization-Aware Time Series Min-Max Caching with Error Bound Guarantees." Proceedings of the VLDB Endowment 17, no. 8 (2024): 2091–103. http://dx.doi.org/10.14778/3659437.3659460.
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This paper addresses the challenges in interactive visual exploration of large multi-variate time series data. Traditional data reduction techniques may improve latency but can distort visualizations. State-of-the-art methods aimed at 100% accurate visualization often fail to maintain interactive response times or require excessive preprocessing and additional storage. We propose an in-memory adaptive caching approach, MinMaxCache, that efficiently reuses previous query results to accelerate visualization performance within accuracy constraints. MinMaxCache fetches data at adaptively determined aggregation granularities to maintain interactive response times and generate approximate visualizations with accuracy guarantees. Our results show that it is up to 10 times faster than current solutions without significant accuracy compromise.
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Khalifa, H. A., and E. E. Ammar. "Interactive Two-Stage Stochastic fuzzy Rough Programming for Water Resources Management." JOURNAL OF ADVANCES IN PHYSICS 4, no. 3 (2014): 623–42. http://dx.doi.org/10.24297/jap.v4i3.1984.
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This paper deals with a fuzzy programming approach for treating an interactive two-stage stochastic rough-interval water resource management. The approach has been developed by incorporating an interactive fuzzy resolution method within a rough two-stage stochastic programming framework. The approach can not only tackle dual rough intervals presented as an inexact boundary intervals that exist in the objective function and the left- and right-hand sides of the constraints that are associated with different levels of economic penalties when the promised policy targets are violated. The results indicate that a set of solutions under different feasibility degrees has been generated for planning the water resources allocation. They can help the decision makers to conduct in depth analysis of tradeoffs between economic efficiency and constraint-violation risk, as well as enable them to identify, in an interactive way, a desired compromise between satisfaction degree of the goal and feasibility of the constraints. A management example in terms of rough-intervals water resources allocation has been treated for the sake of applicability of the proposed approach.
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Mohammed, Zakaria Moustafa1 Mohammed Rizk Mohammed2 Hatem Awad Khater3 Hager Ali Yahia2. "A BI-OBJECTIVE MODEL FOR SVM WITH AN INTERACTIVE PROCEDURE TO IDENTIFY THE BEST COMPROMISE SOLUTION." International Journal of Artificial Intelligence and Applications (IJAIA) 11, march (2020): 49–59. https://doi.org/10.5281/zenodo.3775260.
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A support vector machine (SVM) learns the decision surface from two different classes of the input points, there are misclassifications in some of the input points in several applications. In this paper a bi-objective quadratic programming model is utilized and different feature quality measures are optimized simultaneously using the weighting method for solving our bi-objective quadratic programming problem. An important contribution will be added for the proposed bi-objective quadratic programming model by getting different efficient support vectors due to changing the weighting values. The numerical examples, give evidence of the effectiveness of the weighting parameters on reducing the misclassification between two classes of the input points. An interactive procedure will be added to identify the best compromise solution from the generated efficient solutions.
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Alharbi, Majed G., Hamiden Abd El-Wahed Khalifa, and E. E. Ammar. "An Interactive Approach for Solving the Multiobjective Minimum Cost Flow Problem in the Fuzzy Environment." Journal of Mathematics 2020 (November 17, 2020): 1–7. http://dx.doi.org/10.1155/2020/6247423.
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This paper deals with the multiobjective minimum cost flow (F-MOMCF) with fuzzy penalty characterized by trapezoidal fuzzy numbers. Through the use of α-cut, the F-MOMCF problem is transformed into the α-MOMCF problem. The α-MOMCF problem can be solved using an interactive approach combined with the weighting Tchebycheff problem. The advantages of this method are that it elicits information from the decision maker (DM) to modify the given constraint set, it gives the optimum penalty, and the effort required for obtaining the solution is reduced. The stability set of the first kind related to the α-best compromise solution is determined. A numerical example is given for illustration and to check the validity of the approach.
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J.C. Paul, B. Panigrahi, and R.K. Sahu. "An Interactive Multi-Objective Linear Programming Approach for Watershed Planning-A Case Study." Journal of Agricultural Engineering (India) 53, no. 4 (2024): 34–41. http://dx.doi.org/10.52151/jae2016534.1613.
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Agriculture is an economic activity that significantly contributes to the GDP of the country, and secures the viability of the rural sector and the social coherence. Optimal utilisation of available resources is important to meet the growing demand of food and fibres of the people. Watershed management planning study on the Badabandha Nala watershed in Banapur block of Khurda district, Odisha, was carried out using multi-objective programming approach and analysed with interactive technique (STEP method). A compromise solution was obtained from the optimal solutions by the preference of Decision Maker by using interactive step method. The land allocation plan was done considering the major crops grown in the area. The objective function was to maximise food, fodder, fuel wood, net income, labour employment generation and runoff water augmentation; considering constraints of land, water and human resources. The benefit-cost ratio of the proposed plan was 1.42:1 with cropping intensity of 170% (kharif 91%, and rabi 79%). The benefit for the proposed planning was 184% higher than the existing practices.
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John, Sachin Basil, and Christoph Koch. "High-Dimensional Data Cubes." Proceedings of the VLDB Endowment 15, no. 13 (2022): 3828–40. http://dx.doi.org/10.14778/3565838.3565839.
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This paper introduces an approach to supporting high-dimensional data cubes at interactive query speeds and moderate storage cost. The approach is based on binary(-domain) data cubes that are judiciously partially materialized; the missing information can be quickly reconstructed using statistical or linear programming techniques. This enables new applications such as exploratory data analysis for feature engineering and other fields of data science. Moreover, it removes the need to compromise when building a data cube - all columns that we might ever wish to use can be included as dimensions. Our approach also speeds up certain dice, roll-up, and drill-down operations on data cubes with hierarchical dimensions compared to traditional data cubes.
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Ciprian-Bogdan, Chirilă, Ciocârlie Horia, and Stoicu-Tivadar Lăcrămioara. "BRAIN Journal - Generative Learning Objects Instantiated with Random Numbers Based Expressions." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 6, no. 1-2 (2015): 70–83. https://doi.org/10.5281/zenodo.1044149.
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ABSTRACT The development of interactive e-learning content requires special skills like programming techniques, web integration, graphic design etc. Generally, online educators do not possess such skills and their e-learning products tend to be static like presentation slides and textbooks. In this paper we propose a new interactive model of generative learning objects as a compromise between static, dull materials and dynamic, complex software e-learning materials developed by specialized teams. We find that random numbers based automatic initialization learning objects increases content diversity, interactivity thus enabling learners’ engagement. The resulted learning object model is at a limited level of complexity related to special e-learning software, intuitive and capable of increasing learners’ interactivity, engagement and motivation through dynamic content. The approach was applied successfully on several computer programming disciplines.
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Alibabai, Hamed, and Hani S. Mahmassani. "Dynamic Origin-Destination Demand Estimation Using Turning Movement Counts." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 39–48. http://dx.doi.org/10.3141/2085-05.
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A dynamic origin-destination (O-D) demand estimation model is presented that uses turning movement counts as observations. Based on an iterative bilevel estimation framework, the upper-level problem is to minimize a weighted objective function of the deviation between simulated link flows and real-time link counts and the deviation between estimated time-dependent demand and an a priori historical O-D table, where the weighting value is determined by an interactive approach to obtain the best compromise solution. A case study was performed on the US-29 network in Maryland to compare the estimated tables of this approach with the one obtained from the traditional method, which uses only approach link volume counts. The application illustrates considerable benefits of using turning movements instead of approach volumes in matching observed counts.
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Polterovich, V. "Strategies of Modernization, Institutions and Coalitions." Voprosy Ekonomiki, no. 4 (April 20, 2008): 4–24. http://dx.doi.org/10.32609/0042-8736-2008-4-4-24.
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The article considers alternative variants of strategy formation: "modernization from above" and an approach based on the interaction of "coalitions of interests". To use the advantages of both approaches, it is suggested that a system of interactive control of growth be designed. It should be founded on procedures of compromise making and concerted efforts of the state and "coalitions of actions" such as business and consumers’ associations and trade unions that are already partially organized in Russia. The most important goal of the system is to work out mutually consistent plans of development for different economy sectors. At the first stage, the plans have to ensure fast economic growth by adaptation of western methods and technologies and gradual improvement of institutions as well. These conclusions follow from the analysis of policies of "economic miracle" countries and the theory of reform recommendations.
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Zadbood, Amineh, and Kazem Noghondarian. "Multiple Response Surface Optimization Considering the Decision Maker’s Preference Information." Advanced Materials Research 433-440 (January 2012): 1646–52. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1646.
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Most of the studies in Response Surface Methodology commonly involve one response or quality characteristics, whereas in most industrial applications considering all responses simultaneously is required. Multiple Response Surface (MRS) Optimization Problems often deal with responses that are conflicting. In dealing with incommensurate responses, incorporating a decision maker’s preference information into the problem has lots of advantages although a few researches in MRS literature have taken this into attention. The purpose of this paper is to take a detailed look at the most prominent approaches that has been suggested so far in MRS, and also to review and discuss the classifications with a special focus on the decision maker’s preference information. In today’s competitive market satisfying the customer is of high importance. The DM can be a customer and reaching a compromise with an interactive method would help the firm to succeed in having loyal customers. A case study is applied to show that interactive method with existing MRS approach leads to better results.
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da Luz Barbosa, Vilma Regiane, Beatriz Lucia Salvador Bizotto, Maria Emilia Camrgo, Santosh Kumar Singh, and Nadiia Reznik. "INFLUENCE OF THE COUNTRY'S POLITICAL SITUATION ON THE USE OF MODERN DIGITALIZATION TOOLS IN EDUCATION." Modern scientific journal 5, no. 3 (2024): 105–11. https://doi.org/10.36994/2786-9008-2024-5-13.
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This article examines the impact of educational technologies on the teaching of English as a second language, investigating how these tools influence motivation, autonomy and personalization of learning. The research, which uses a qualitative approach andis based on interviews with students, reveals that technologies such as apps, video calls and interactive platforms offer significant benefits, especially in terms of engagement and study flexibility. It was observed that these resources not only allow a learning pace adapted to individual needs, but also promote a more dynamic and interactive experience. However, challenges were identified, such as the need for structured guidance for some students and the lack of immediate feedback in certain situations,which can compromise the progress of students who require ongoing support. The analysis suggests that, although technology enhances language teaching, a balance between human interactions and digital resources can further enrich the learning experience, benefiting a wider range of student profiles. The methodology used is qualitative, with content analysis of the participants’ responses.
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Sosa, Roxana Durán ,., Rui Alexandre Castanho, and Gualter Couto. "The Challenge of drought in Costa Rica: A Preliminary Research with Economic Implications." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (April 8, 2022): 1019–27. http://dx.doi.org/10.37394/23207.2022.19.89.
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In recent decades, Costa Rica has been characterized by the expansion of the forested frontier. More than half of the national territory has forest cover. Despite this, severe drought phenomena in the country compromise the stability of productive units and ecosystems. This article aims to contribute to the approach to drought control. The forest, precipitation, and land use relationship are presented as an alternative modeled by indigenous peoples. For this, an exhaustive review of bibliographic material, databases, and others was carried out. An interactive approach is made between the resources and natural phenomena and the forest linked to the philosophy of the native peoples. All this is part of the reflective analysis method. Contextually, the conclusions are: (i) Despite the expansion of the forest cover, the country has levels of precipitation that tend to decrease; amd (ii) Economic implications in agribusiness caused by droughts.
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Zhou, Jian, Wenying Xia, Ke Wang, Hui Li, and Qianyu Zhang. "Fuzzy Bi-Objective Closed-Loop Supply Chain Network Design Problem with Multiple Recovery Options." Sustainability 12, no. 17 (2020): 6770. http://dx.doi.org/10.3390/su12176770.
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A network design of a closed-loop supply chain (CLSC) with multiple recovery modes under fuzzy environments is studied in this article, in which all the cost coefficients (e.g., for facility establishment, transportation, manufacturing and recovery), customer demands, delivery time, recovery rates and some other factors that cannot be precisely estimated while designing are modeled as triangular fuzzy numbers. To handle these uncertain factors and achieve a compromise between the two conflicting objectives of maximizing company profit and improving customer satisfaction, a fuzzy bi-objective programming model and a corresponding two-stage fuzzy interactive solution method are presented. Applying the fuzzy expected value operator and fuzzy ranking method, the fuzzy model is transformed into a deterministic counterpart. Subsequently, Pareto optimal solutions are determined by employing the fuzzy interactive solution method to deal with the conflicting objectives. Numerical experiments address the efficiency of the proposed model and its solution approach. Furthermore, by comparing these results with the CLSC network design in deterministic environments, the benefits of modeling the CLSC network design problem with fuzzy information are highlighted.
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Hannan, Haukil. "Evolving Historiographies." Journal of Islamic Communication Studies 2, no. 2 (2024): 12–21. https://doi.org/10.15642/jicos.2024.2.2.12-21.
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This study explores the distinctions in historical narrative presentation between online platforms and traditional media, focusing specifically on how Islamic history is communicated across various digital outlets. Addressing two pivotal questions, the research first examines how the writing of history on online platforms diverges from conventional media forms. It then investigates the specific strategies employed by these digital platforms—Islamramah.co, Islami.co, Geotimes.id, and Muslim.or.id—to convey Islamic historical narratives to the public. Utilizing content analysis, the study evaluates narrative techniques, visual representations, and interactive elements that digital media integrate to enhance accessibility and engagement. The findings reveal that online platforms offer real-time dissemination, greater global reach, and multimodal content formats, which significantly alter public interaction with historical content. However, these advantages come with challenges, such as the potential for narrative fragmentation, algorithmic influence, and a tendency towards sensationalism. The study concludes that while online platforms facilitate broader access to historical narratives and foster public engagement, they also present risks that can compromise historical accuracy and depth. Thus, the research underscores the need for a balanced approach in digital historical communication.
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Zhou, Xuesong, Xiao Qin, and Hani S. Mahmassani. "Dynamic Origin-Destination Demand Estimation with Multiday Link Traffic Counts for Planning Applications." Transportation Research Record: Journal of the Transportation Research Board 1831, no. 1 (2003): 30–38. http://dx.doi.org/10.3141/1831-04.
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A dynamic origin–destination demand estimation model for planning applications with real-time link counts from multiple days is presented. Based on an iterative bilevel estimation framework, the upper-level problem is to minimize both the deviation between estimated link flows and real-time link counts and the deviation between estimated time-dependent demand and given historical static demand. These two types of deviations are combined into a weighted objective function, where the weighting value is determined by an interactive approach to obtain the best compromise solution. The single-day formulation is further extended to use link counts from multiple days to estimate the variation in traffic demand over multiple days. A case study based on the Irvine test bed network is conducted to illustrate the methodology and estimate day-to-day demand patterns. The application illustrates considerable benefits in analyzing the demand dynamics with multiday data.
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Irgalieva, El’vira K., and Lyubov’ G. Pak. "Characteristics of the process model of pedagogical support for the development of university students’ tolerance." Vestnik of Samara State Technical University Psychological and Pedagogical Sciences 22, no. 1 (2025): 75–90. https://doi.org/10.17673/vsgtu-pps.2025.1.6.
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This paper presents a process model of pedagogical support for the development of university students’ tolerance and pedagogical conditions for its optimal functioning. The model in question reflects the expediency of independent blocks: targeted (the goal is to form a high level of university students’ tolerance); methodological (activity–based approach and principles of taking into account cultural boundaries, axiology, synergy and dialogue; socio-pedagogical approach and principles of reliance on the positive socio-cultural experience of ethnic groups, self-worth of the individual; participation in decision-making), meaningful (strategies: facilitation, reflexive, communicative (including euphemization as a speech strategy for the tolerance formation), cooperation, coping strategies; directions: meaning-forming, educational, interactive-activating), effective (dynamics and final result – a high level of students’ tolerance, tracked by motivational, cognitive, activity and corresponding indicators in the logical description of the stages (orienting, informative, activating) of achieving the planned result. The effective block of the developed model defines the levels: high (striving to master the ways of constructive interaction, dialogue, equal communication, compromise, cooperation; conscious, systematic knowledge about the phenomenon of “tolerance” about the ways and directions of its development; active life position, etc.); average (fragmentally meaningful emotional and value attitude to the implementation of constructive interaction in a multiethnic and multicultural society; moderate acceptance of diversity, not static attitude to differences; insufficient deep knowledge about the phenomenon under study; fragmentary manifestation activity in mastering the skills of tolerant interaction; low (biased, often hidden negative attitude towards representatives of racial, national, age, religious, etc. differences; limited awareness of tolerance: lack of information (lack of awareness of the diversity of cultures, views and ways of life, which leads to stereotypes and bias), etc.).
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Chen, Jiaxin, Yuxuan Wu, Shuai Huang, and Pei Wang. "Multi-objective optimization for AGV energy efficient scheduling problem with customer satisfaction." AIMS Mathematics 8, no. 9 (2023): 20097–124. http://dx.doi.org/10.3934/math.20231024.
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<abstract><p>In recent years, it has been gradually recognized that efficient scheduling of automated guided vehicles (AGVs) can help companies find the balance between energy consumption and workstation satisfaction. Therefore, the energy consumption of AGVs for the manufacturing environment and the AGV energy efficient scheduling problem with customer satisfaction (AGVEESC) in a flexible manufacturing system are investigated. A new multi-objective non-linear programming model is developed to minimize energy consumption while maximizing workstation satisfaction by optimizing the pick-up and delivery processes of the AGV for material handling. Through the introduction of auxiliary variables, the model is linearized. Then, an interactive fuzzy programming approach is developed to obtain a compromise solution by constructing a membership function for two conflicting objectives. The experimental results show that a good level of energy consumption and workstation satisfaction can be achieved through the proposed model and algorithm.</p></abstract>
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Gamal, Abduallah, Mohamed Abdel-Basset, Ibrahim M. Hezam, Karam M. Sallam, and Ibrahim A. Hameed. "An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable Future." Sustainability 15, no. 17 (2023): 12844. http://dx.doi.org/10.3390/su151712844.
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The autonomous vehicle (AV) is one of the emerging technologies of the new age that has the potential to restructure transportation infrastructure. AVs are able to sense their surroundings and move around with control and self-sufficiency. AVs can contribute towards reducing traffic congestion on the roads, improving the quality of life, and achieving the highest levels of traffic safety. Thus, this type of vehicle can be integrated into the logistics industry. Due to the presence of several AVs, selecting a standard and efficient AV for logistics planning is a great challenge. The selection of an AV depends on many conflicting and essential criteria. Given its efficiency and reliability in dealing with conflicting criteria, a comprehensive multi-criteria decision-making (MCDM) approach was applied to solve the problem of selecting the optimal AV. However, the MCDM selection process is based on human judgment, which can be ambiguous. Accordingly, uncertainty was handled using type-2 neutrosophic numbers (T2NN). Initially, the method based on the removal effects of criteria (MEREC) was extended under T2NN and employed to assess and prioritize criteria. Then, the combined compromise solution (CoCoSo) method was extended under T2NN and applied to rank the candidate substitutions. To confirm the feasibility of the applied approach, an illustrative case study of four AVs was introduced. A sensitivity analysis was performed by changing the weights of the criteria and some other parameters to confirm the validity and stability of the proposed approach. In addition, a comparison analysis with other MCDM approaches was conducted to show the effectiveness and reliability of the applied approach. This research provides useful information for policymakers in the field of logistics. Finally, the results indicate that the velocity of AVs criterion is the most influential criterion in the selection of an intelligent AV.
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Amador, Gonçalo N. P., and Abel J. P. Gomes. "A Simple Physically-Based 3D Liquids Surface Tracking Algorithm." International Journal of Creative Interfaces and Computer Graphics 2, no. 2 (2011): 37–48. http://dx.doi.org/10.4018/ijcicg.2011070103.
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Navier-Stokes-based methods have been used in computer graphics to simulate liquids, especially water. These physically based methods are computationally intensive, and require rendering the water surface at each step of the simulation process. The rendering of water surfaces requires knowing which 3D grid cells are crossed by the water’s surface, that is, tracking the surface across the cells is necessary. Solutions to water surface tracking and rendering problems exist in literature, but they are either too computationally intensive to be appropriate for real-time scenarios, as is the case of deformable implicit surfaces and ray-tracing, or too application-specific, as is the case of height-fields to simulate and render water mantles (e.g., lakes and oceans). This paper proposes a novel solution to water surface tracking that does not compromise the overall simulation performance. This approach differs from previous solutions in that it directly classifies and annotates the density of each 3D grid cell as either water, air, or water-air (i.e., water surface), opening the opportunity for easily reconstructing the water surface at an interactive frame rate.
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Bradshaw, Kerry, Travis Pike, Sarah Ruawai, and Angelique Reweti. "Creating a classroom tiriti with young learners: A pathway to understanding te Tiriti o Waitangi." Teachers' Work 21, no. 2 (2024): 124–34. https://doi.org/10.24135/teacherswork.v21i2.642.
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This is a reflection on Riverdale Primary School’s approach to teaching Te Tiriti o Waitangi using a student-centred, inquiry-based framework. Over a 10-week inquiry in the Pae Ake classroom (Year 2 & 3), students explored Te Tiriti o Waitangi not only as a historical document but as a living agreement with ongoing cultural and societal significance. As part of this learning, they created their own classroom tiriti, using the experience to engage with principles of democratic processes, leadership, and to immerse themselves in learning about tikanga Māori. The project incorporated practical activities, including developing negotiation skills, learning to compromise, working collectively, clearly communicating expectations, and participating in a ceremonial signing. This approach helped students build meaningful connections with the values and cultural foundations of Te Tiriti o Waitangi, while enhancing their understanding of the diverse relationships, worldviews, and perspectives involved in its creation. By integrating lessons with interactive classroom experiences, this reflection illustrates how student-centred inquiry can foster understanding of Te Tiriti o Waitangi’s ongoing relevance, supporting bicultural learning in an Aotearoa New Zealand primary school context. Riverdale Primary provides an example of how student-centred inquiry can create inclusive and culturally responsive educational practices, fostering connections between students, their community, and the principles of Te Tiriti o Waitangi.
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Sethi, T., and S. Kumar. "Multi-attribute group decision-making problem of medical consumption products based on extended TODIM-VIKOR approach with Fermatean fuzzy information measure." Mathematical Modeling and Computing 10, no. 1 (2023): 80–100. http://dx.doi.org/10.23939/mmc2023.01.080.
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The fundamental goal of this research is to develop a MAGDM (Multi-Attribute Group Decision Making) problem of Medical Consumption Products. We propose TODIM–VIKOR approach in this paper, which combines the TODIM (an acronym in Portuguese for Interactive and Multi-criteria Decision-Making) and VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje) procedures under Fermatean fuzzy information. A new Fermatean fuzzy scoring function is presented for dealing with comparison problems. In addition, we introduce a novel entropy measure for assessing the degree of fuzziness associated with an FFS. We also offer a Jensen–Shannon divergence measure for the Fermatean Fuzzy set that can be used to compare the discrimination information of two FFSs. This suggested measure meets all mathematical standards for being considered a measure. We introduced entropy and divergence measures to determine the objective weight in the TODIM–VIKOR approach. Meanwhile, to deal with multiple attribute group decision-making, a new decision procedure based on the suggested Entropy and Jensen–Shannon divergence measure was proposed in a Fermatean Fuzzy environment. In this article, TODIM has in view to find out the overall dominance degree, and VIKOR is to determine the compromise solution. Finally, we manage a supplier selection problem to verify the performance of the suggested Fermatean fuzzy TODIM–VIKOR method by comparing the ranking solution to the rankings of existing methodologies. We investigate the reliability and effectiveness of our proposed methodology.
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Krauss, Ellis S., and Simon Reich. "Ideology, interests, and the American executive: toward a theory of foreign competition and manufacturing trade policy." International Organization 46, no. 4 (1992): 857–97. http://dx.doi.org/10.1017/s0020818300033270.
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Faced with a formidable competitiveness problem, the American government chief executive appeared to offer a series of ad hoc responses in the 1980s. Contrarily, this article suggests that executive responses to foreign economic challenges follow a predictable pattern. Pointing to the interactive effects of ideology and interest, this article argues that both the degree and type of executive response, be it in the form of market-opening strategies, of temporary or permanent forms of protectionism, or of adopting a laissez-faire approach, can be predicted based on two factors: whether a sector is characterized as “high tech” and whether it is considered to be competitive. A major implication of this argument is that the U.S. chief executive has used trade policy as a surrogate for industrial policy; but in so doing, the strategic considerations associated with industrial policies have been bypassed. The major effect is that the executive fails to intervene only in the realm of an “infant industry” policy—the area most likely to generate a dynamic economy. The product of this combiantion of protectionist policies is a stagnant economy that we term “compromise protectionism.”
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Tommasi, Franco, Valerio De Luca, and Catiuscia Melle. "QoS monitoring in real-time streaming overlays based on lock-free data structures." Multimedia Tools and Applications 80, no. 14 (2021): 20929–70. http://dx.doi.org/10.1007/s11042-020-10198-9.
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AbstractPeer-to-peer streaming is a well-known technology for the large-scale distribution of real-time audio/video contents. Delay requirements are very strict in interactive real-time scenarios (such as synchronous distance learning), where playback lag should be of the order of seconds. Playback continuity is another key aspect in these cases: in presence of peer churning and network congestion, a peer-to-peer overlay should quickly rearrange connections among receiving nodes to avoid freezing phenomena that may compromise audio/video understanding. For this reason, we designed a QoS monitoring algorithm that quickly detects broken or congested links: each receiving node is able to independently decide whether it should switch to a secondary sending node, called “fallback node”. The architecture takes advantage of a multithreaded design based on lock-free data structures, which improve the performance by avoiding synchronization among threads. We will show the good responsiveness of the proposed approach on machines with different computational capabilities: measured times prove both departures of nodes and QoS degradations are promptly detected and clients can quickly restore a stream reception. According to PSNR and SSIM, two well-known full-reference video quality metrics, QoE remains acceptable on receiving nodes of our resilient overlay also in presence of swap procedures.
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Marconcini, S., and V. Pracchi. "INCLUSIVE CULTURAL HERITAGE SITES: ICT AS A TOOL TO SUPPORT THE DESIGN PROCESS AND SHARE KNOWLEDGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 793–800. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-793-2019.
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<p><strong>Abstract.</strong> Within the European strategies for a sustainable development, the role of cultural heritage as an economic, environmental and social driver has become increasingly significant. As an asset in people’s lives, it’s necessary to assure anyone the opportunity to access it. For this reason, urban transformation policies must guarantee the proper compromise between the requirements of conservation and physical/cognitive accessibility. This entails a clear design complexity, which however cannot justify the lack of intervention, but must propose new governance models for an inclusive design process.</p><p>In a broader research framework, the implementation of ICT has turned out to be a solution that can address some issues in enhancing the level of inclusion in cultural heritage sites. Particularly, the conception of an interactive map has seemed the proper perspective of producing a feasible operative tool. The first aim is linked to the necessity of having an information system thank to which everyone, particularly users with special needs, could be able to organize their movements and be aware of the proposed services and fulfilled inclusive strategies. The second target is connected to the management of the projects related to the development of inclusion, therefore it is addressed to municipal administrators and other key actors involved in the governance of cultural heritage.</p><p>Finally, the discussion about the main objectives and features of an interactive map wants to highlight the role that ICT can assume within an inclusive design approach, for which is needed a tool able to support the intervention on the physical environment and offer further essential services.</p>
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P.W. Ellway, Benjamin. "The voice-to-technology (V2T) encounter and the call centre servicescape." Journal of Service Management 25, no. 3 (2014): 349–68. http://dx.doi.org/10.1108/josm-01-2013-0022.
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Purpose – Because the voice-to-technology (V2T) encounter remains under-theorised, the purpose of this paper is to overcome this gap by investigating customers use of the interactive voice response (IVR) system and “the customer journey” through the call centre service system. Design/methodology/approach – From an interpretive study of a UK call centre, the metaphorical aspects of language used to represent the service process are analysed, accompanied by an examination of how the servicescape dimensions of spatial layout and signs are constituted in the call centre service process, and the resulting implications for virtual-aural navigation. Findings – Despite no physical movement, customers represent their experience of navigating “through” the service process in spatial terms. Therefore, understanding precisely how servicescape dimensions are reconfigured within the virtual-aural setting of the call centre is necessary to appreciate customer experience of V2T but also voice-to-voice (V2V) encounters. The call centre servicescape lacks a spatial representation of layout and signs that would conventionally support navigation and purposeful movement. Research limitations/implications – Despite observing live calls, direct interaction with customers was not possible. The paper was based upon a single case study, and the hermeneutic focus on understanding and meaning meant that the study did not emphasise the quantification of phenomenon. Therefore, further research on virtual navigation is required. Practical implications – Problematic V2T encounters compromise the quality and efficiency of service provision. A visual representation of the IVR system may possibly support V2T encounters, while encouraging customer service advisors to act as “guides” during V2V encounters may reduce problems emerging from V2T encounters. Originality/value – First, an original theorisation of the customer experience of the V2T encounter is provided through the theoretical notion of spatialisation metaphors. Second, a preliminary conceptualisation of the call centre servicescape is developed, which shows how spatial layout and signs are reconfigured and represented in this virtual-aural setting.
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Theresia Berlian Afrida, Prihatin Lumbanraja, and Yeni Absah. "Keseimbangan Karir dan Keluarga Bagi Wanita Pekerja pada Perspektif Manajemen Konflik." Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah 6, no. 5 (2024): 3945–61. http://dx.doi.org/10.47467/alkharaj.v6i5.1388.
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Working women have the potential to experience conflict in carrying out all of their roles. This conflict has the potential to cause organizational conflict so that it must be managed from both sides. This study aims to analyze conflict and conflict management from 2 perspectives, working women and organization. Qualitative research with a descriptive approach was conducted with in-depth interviews and documentation of key informants of working women, direct supervisors, and supporting informants, which were analyzed using interactive model data analysis techniques. In carrying out their roles, working women have made efforts to balance, but it’s difficult to do. Supporting factors are social support from family, spouses, and coworkers. Differences in perceptions with spouses and coworkers are an inhibiting factor. Organizations perceive role conflict in 2 perceptions, direct supervisors and field employees. In the perception of direct supervisors, role conflict in women doesn’t affect the performance of the field and the organization as a whole. In the perception of field employees, role conflict causes jealousy, reluctance, delegation of tasks, and difficulty carrying out assignments due to changing team arrangements. Supporting factors for the organization are the existence of a communication system in the organization regardless of hierarchy and the sharing of knowledge between leaders regarding employee characteristics and conflict management. Differences regarding the conditions and problems of employees become an obstacle for organization to determine treatment standards. Organizational conflict handling strategies carried out are using persuasive and collaborative leadership styles, open communication with employees, collaboration and compromise conflict management styles.
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Bryans, Jeremy, Lin Shen Liew, Hoang Nga Nguyen, Giedre Sabaliauskaite, and Siraj Ahmed Shaikh. "Formal Template-Based Generation of Attack–Defence Trees for Automated Security Analysis." Information 14, no. 9 (2023): 481. http://dx.doi.org/10.3390/info14090481.
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Systems that integrate cyber and physical aspects to create cyber-physical systems (CPS) are becoming increasingly complex, but demonstrating the security of CPS is hard and security is frequently compromised. These compromises can lead to safety failures, putting lives at risk. Attack Defense Trees with sequential conjunction (ADS) are an approach to identifying attacks on a system and identifying the interaction between attacks and the defenses that are present within the CPS. We present a semantic model for ADS and propose a methodology for generating ADS automatically. The methodology takes as input a CPS system model and a library of templates of attacks and defenses. We demonstrate and validate the effectiveness of the ADS generation methodology using an example from the automotive domain.
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Yosten, Gina L. C., Lauren J. Redlinger, and Willis K. Samson. "Evidence for an interaction of neuronostatin with the orphan G protein-coupled receptor, GPR107." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 303, no. 9 (2012): R941—R949. http://dx.doi.org/10.1152/ajpregu.00336.2012.
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Neuronostatin, derived from the somatostatin preprohormone, is a recently described peptide that is produced by several tissues involved in cardiovascular regulation and metabolism, including the hypothalamus. Injection of neuronostatin into the lateral cerebroventricle led to a dose-related increase in mean arterial pressure (MAP) in rats. Any attempt to inhibit the production of neuronostatin would alter somatostatin production as well, making determination of the physiological relevance of the peptide's pharmacologic effects by compromise of production approaches impossible. Therefore, we employed an alternative approach to identify and compromise the production of the neuronostatin receptor. Because neuronostatin was shown to signal via a PKA-dependent mechanism, we hypothesized that the neuronostatin receptor was a G protein-coupled receptor (GPCR), in particular, one of the orphan GPCRs for which the ligand is unknown. Therefore, we screened neuronostatin-responsive tissues, including hypothalamus, heart, pancreatic α-cells, and the gastric tumor cell line KATOIII, for expression of orphan GPCRs. Four orphan GPCRs were expressed by all cell types, including GPR56 and GPR107. Knockdown of GPR107, but not GPR56 or GPR146, led to a loss of responsiveness to neuronostatin by KATOIII cells. Rats injected with siRNA directed against GPR107 (2 μg/day for 2 days) into the lateral cerebroventricle did not exhibit an increase in MAP in response to neuronostatin treatment. Rats with compromised GPR107 expression also displayed blunted reactivity in a baroreflex sensitivity test, indicating that GPR107 and neuronostatin may be important regulators of cardiovascular function. Thus, GPR107 is a promising candidate receptor for neuronostatin, and neuronostatin, interacting with GPR107, may play an important role in the central control of cardiovascular function.
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Moraes Carvalho, Denise, Edson Guarido Filho, and Veronica Eberle de Almeida. "Organizational performance and strategic inertia." Revista de Gestão 25, no. 1 (2018): 25–46. http://dx.doi.org/10.1108/rege-11-2017-003.
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Purpose The purpose of this paper is to analyze the relationship between organizational performance and the pattern of strategic decisions formalized in the planning of a Brazilian heavy construction company between 2006 and 2014. In this period, the company experienced a recurrent pattern of maintaining strategic decisions, despite the systematic decrease in performance and investments in the formal strategic planning (SP) and monitoring of results. The research focus is on strategic inertia and the influence of social determinants on the relationship between performance and the strategic actions negotiated in formal planning. Design/methodology/approach This is a single-case study. The exploratory-descriptive research comprises data collection on performance and strategic decisions from the period between 2006 and 2014. The analysis was guided through documentary material and data collected from 16 interviews conducted with members of the middle to top management concerning performance, goals, and strategic initiatives. The interviewees’ statements were used to apprehend the interpreted dimension of SP expressed in the meanings attributed to this process. The analysis adopts a sociological base, and strategic inertia is the underlying phenomenon that guides this analysis. Findings The results show the interactive effect caused by political, cognitive, discursive, and ceremonial mechanisms obstruct the company’s strategic decisions. This case study illustrates that the conditions for the phenomenon of path dependence were created, reinforcing the strategic inertia observed in the maintenance of a reproduced pattern of strategic initiatives and goals, even though the performance was recurrently unsatisfactory. In this case, strategic inertia showed a complex relationship between the interpreted performance and strategic actions negotiated in formal planning, conditioned by mechanisms of trajectory reinforcement that interfered with the conditions for strategic change. Research limitations/implications Strategic inertia demonstrates a complex relationship between the interpreted performance and strategic actions negotiated in formal planning, conditioned by mechanisms of trajectory reinforcement that interfere with the conditions for strategic change. Future research on social mechanisms from the perspective of strategy-as-practice could be developed to capture the tacit components, language, power games, and other relevant categories in the social interaction of strategy development at the organizational level. In addition, future research could focus on investigating the extent to which path dependence is contingent, assuming that it is a temporary and, therefore, reversible process. Practical implications This work contributes to the view of SP from the social perspective and shows that the relationship between performance and strategy has biases that can compromise performance. The work highlights implications for maintaining strategic initiative patterns, which shape a path whose function is less associated with its effects on performance and more associated with the commitment to instrumental results, due to the social nature of organizations. Social implications This work deals with social mechanisms that influence strategic decisions. Since organizational performance depends on strategic decisions, the social nature of strategic inertia has causal implications to economic and social impact of organizations. Originality/value This work argues in favor of the influence of self-reinforcing mechanisms of path dependence in the relationship between performance and strategic decisions. The results extended the predominantly structural approach of path dependence by considering interpretive aspects related to the political, discursive, cognitive, and ceremonial dimensions of strategic inertia.
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Schliwa, Victor Andrej, and Raluca Ciornea. "Drivers and inhibitors of the compromise effect – a conceptual overview." Journal of Consumer Marketing 37, no. 4 (2020): 375–84. http://dx.doi.org/10.1108/jcm-03-2018-2606.
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Purpose This paper aims to review numerous known drivers and antecedents of compromise behavior, proposing a basic categorization of the various contributions. This is done with the goal to integrate drivers and antecedents, previously largely discussed in isolation of one another, into a single conceptual model. This sheds light on the issue of previously overstated or understated relevance of individual drivers. The picture is completed by the proposition of new potential drivers of the compromise effect like lay rationalism and approval motivation. Design/methodology/approach The paper takes a conceptual approach in reflecting on prior findings from the field of compromise effect research and adjacent fields to develop a number of propositions aggregated in a conceptual model. Findings A number of previously overlooked, but potentially highly relevant interaction effects among known drivers of the compromise effect are proposed along with the proposition of several new drivers. Originality/value This conceptual paper offers a novel, broadly applicable categorization of compromise effect research. Further, it seems to be the first paper dedicated to an extensive review of established drivers of the compromise effect to examine the interdependence and possible interaction effects and of those drivers. Additionally, completely new potentially relevant drivers are discussed in detail and integrated into a conceptual model.
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Alexandris, Christina. "GenAI and Socially Responsible AI in Natural Language Processing Applications: A Linguistic Perspective." Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 330–37. http://dx.doi.org/10.1609/aaaiss.v3i1.31230.
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It is a widely-accepted fact that the processing of very large amounts of data with state-of-the-art Natural Language Processing (NLP) practices (i.e. Machine Learning –ML, language agnostic approaches) has resulted to a dramatic improvement in the speed and efficiency of systems and applications. However, these developments are accompanied with several challenges and difficulties that have been voiced within the last years. Specifically, in regard to NLP, evident improvement in the speed and efficiency of systems and applications with GenAI also entails some aspects that may be problematic, especially when particular text types, languages and/or user groups are concerned. State-of-the-art NLP approaches with automated processing of vast amounts of data in GenAI are related to observed problematic Aspects 1-7, namely: (1) Underrepresentation, (2) Standardization. These result to (3) Barriers in Text Understanding, (4) Discouragement of HCI Usage for Special Text Types and/or User Groups, (5) Barriers in Accessing Information, (6) Likelihood of Errors and False Assumptions and (7) Difficulties in Error Detection and Recovery. An additional problem are typical cases, such as less-resourced languages (A), less experienced users (B) and less agile users (C). A hybrid approach involving the re-introduction and integration of traditional concepts in state-of-the-art processing approaches, whether they are automatic or interactive, concerns the following targets: i), (ii) and (iii): Making more types of information accessible to more types of recipients and user groups (i), Making more types of services accessible and user-friendly to more types of user groups (ii), Making more types of feelings, opinions, voices and reactions visible from more types of user groups (iii) Specifically, in the above-presented cases traditional and classical theories, principles and models are re-introduced and can be integrated into state-of-the art data-driven approaches involving Machine Learning and neural networks, functioning as training data and seed data in Natural Language Processing applications where user requirements and customization are of particular interest and importance. A hybrid approach may be considered a compromise between speed and correctness / userfriendliness in (types of) NLP applications where the achievement of this balance plays a crucial role. In other words, a hybrid approach and the examples presented here target to prevent mechanisms from adopting human biases, ensuring fairness and socially responsible outcome and responsible Social Media. A hybrid approach and the examples presented here also target to customizing content to different linguistic and cultural groups, ensuring equitable information distribution. Here, we present characteristic examples with cases employing the re-introduction of four typical types of traditional concepts concerning classical theories, principles and models. These four typical classical theories, principles and models are also not considered to be flawless, however they can be transformed into practical strategies that can be integrated into evaluation modules, neural networks and training data (including knowledge graphs) and dialogue design. The proposed and discussed re-introduction of traditional concepts is not limited only to the particular models, principles and theories presented here. The first example concerns the application of a classic principle from Theoretical Linguistics. The concept employed in the second example concerns a model from the field of Linguistics and Translation. The third and the fourth examples demonstrate the interdisciplinary application of models and theoretical frameworks from the fields of Linguistics-Cognitive Science and Linguistics-Psychology respectively.
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Ngo, Son Tung, Jafreezal Jaafar, Izzatdin Abdul Aziz, and Bui Ngoc Anh. "A Compromise Programming for Multi-Objective Task Assignment Problem." Computers 10, no. 2 (2021): 15. http://dx.doi.org/10.3390/computers10020015.
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The problem of scheduling is an area that has attracted a lot of attention from researchers for many years. Its goal is to optimize resources in the system. The lecturer’s assigning task is an example of the timetabling problem, a class of scheduling. This study introduces a mathematical model to assign constrained tasks (the time and required skills) to university lecturers. Our model is capable of generating a calendar that maximizes faculty expectations. The formulated problem is in the form of a multi-objective problem that requires the trade-off between two or more conflicting objectives to indicate the optimal solution. We use the compromise programming approach to the multi-objective problem to solve this. We then proposed the new version of the Genetic Algorithm to solve the introduced model. Finally, we tested the model and algorithm with real scheduling data, including 139 sections of 17 subjects to 27 lecturers in 10 timeslots. Finally, a web application supports the decision-maker to visualize and manipulate the obtained results.
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Zhang, Weiqiang, Himabindu Penmatsa, Aixia Ren, et al. "Functional regulation of cystic fibrosis transmembrane conductance regulator-containing macromolecular complexes: a small-molecule inhibitor approach." Biochemical Journal 435, no. 2 (2011): 451–62. http://dx.doi.org/10.1042/bj20101725.
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CFTR (cystic fibrosis transmembrane conductance regulator) has been shown to form multiple protein macromolecular complexes with its interacting partners at discrete subcellular microdomains to modulate trafficking, transport and signalling in cells. Targeting protein–protein interactions within these macromolecular complexes would affect the expression or function of the CFTR channel. We specifically targeted the PDZ domain-based LPA2 (type 2 lysophosphatidic acid receptor)–NHERF2 (Na+/H+ exchanger regulatory factor-2) interaction within the CFTR–NHERF2–LPA2-containing macromolecular complexes in airway epithelia and tested its regulatory role on CFTR channel function. We identified a cell-permeable small-molecule compound that preferentially inhibits the LPA2–NHERF2 interaction. We show that this compound can disrupt the LPA2–NHERF2 interaction in cells and thus compromises the integrity of macromolecular complexes. Functionally, it elevates cAMP levels in proximity to CFTR and upregulates its channel activity. The results of the present study demonstrate that CFTR Cl− channel function can be finely tuned by modulating PDZ domain-based protein–protein interactions within the CFTR-containing macromolecular complexes. The present study might help to identify novel therapeutic targets to treat diseases associated with dysfunctional CFTR Cl− channels.
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Kosch, Thomas, Andrii Matviienko, Florian Müller, et al. "NotiBike: Assessing Target Selection Techniques for Cyclist Notifications in Augmented Reality." Proceedings of the ACM on Human-Computer Interaction 6, MHCI (2022): 1–24. http://dx.doi.org/10.1145/3546732.
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Cyclists' attention is often compromised when interacting with notifications in traffic, hence increasing the likelihood of road accidents. To address this issue, we evaluate three notification interaction modalities and investigate their impact on the interaction performance while cycling: gaze-based Dwell Time, Gestures, and Manual And Gaze Input Cascaded (MAGIC) Pointing. In a user study (N=18), participants confirmed notifications in Augmented Reality (AR) using the three interaction modalities in a simulated biking scenario. We assessed the efficiency regarding reaction times, error rates, and perceived task load. Our results show significantly faster response times for MAGIC Pointing compared to Dwell Time and Gestures, while Dwell Time led to a significantly lower error rate compared to Gestures. Participants favored the MAGIC Pointing approach, supporting cyclists in AR selection tasks. Our research sets the boundaries for more comfortable and easier interaction with notifications and discusses implications for target selections in AR while cycling.
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Liu, Weifeng, Stanley Nathenson, and Steven Almo. "A novel approach to generate LIGHT mutants with selectivity to binding partners (TECH2P.925)." Journal of Immunology 194, no. 1_Supplement (2015): 206.35. http://dx.doi.org/10.4049/jimmunol.194.supp.206.35.
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Abstract LIGHT is a member of TNF superfamily, which participates in interactions with many TNF receptors, including membrane-anchored HVEM and LTβR, as well as solely soluble DcR3. Interaction of LIGHT with HVEM and LTβR directly triggers intracellular signaling, which regulates a wide range of immune response, such as T cell proliferation, thymocyte differentiation and lymphocyte trafficking and migration. LIGHT:DcR3 interaction tends to attenuate the immune response. Besides LIGHT, DcR3 also neutralizes two critical inflammatory molecules TL1A and FasL. The mechanisms that support the broad specificity of LIGHT need to be defined and the functions of LIGHT interacting with different receptors await to be dissected. We have solved the crystal structures of LIGHT:HVEM and LIGHT:DcR3 complexes, revealing the critical residues involved in the interactions of LIGHT with HVEM and DcR3. We have also developed a novel approach to generate LIGHT mutants with altered binding selectivities to different receptors, which allow the further dissection of the functions of LIGHT. This novel method creates LIGHT mutants by transplanting the loops responsible for receptor recognition from TL1A to the corresponding positions of LIGHT. The generated LIGHT chimeras still possesses the wild-type like binding abilities with DcR3 and LTβR, but dramatically compromise the binding affinities with HVEM. Applications of the LIGHT chimeras reveal cooperative signaling of LIGHT through HVEM and LTβR.
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Bartlett, Kevin. "A Human Learning Ecosystem For Our Times." Pacific Journal of Technology Enhanced Learning 5, no. 1 (2023): 9. http://dx.doi.org/10.24135/pjtel.v5i1.167.
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Trendsetter Presentation
 This talk discusses the creation and development of The Common Ground Curriculum. The Common Ground Collaborative (CGC) is a global non-profit network of schools and individuals united in a common purpose expressed in our simple mission: Everybody Learns. We work together in schools and school systems to build an interconnected human context for learning, comprising Learning Cultures and Learning Communities. Within that human context, we create a complete, connected Learning Curriculum, framed by Five Elements that together build towards a fully coherent Learning Ecosystem, designed to provide a school with everything it needs for consistent, high-quality planning, teaching, leading and assessing for learning. We co-create with every school a shared Learning Culture supported by all learning stakeholders in an inclusive Learning Community. Within this very human context we co-create a coherent Learning Curriculum. Everything is connected. It’s a Human Learning Ecosystem for Our Times. We are flexible and friendly and radically non-bureaucratic. We don’t compromise on quality and we are guided unfailingly by our Mission, Everybody Learns and by our Principles.
 We set out to develop learning experts. Experts have a deep understanding of the central concepts of their field and the relationships among them. Experts are highly skilled in the competencies of their field. More than ever, we surely need expert human beings with strong, positive moral character. These insights led to our Definition of Learning as the consolidation and extension of Conceptual understanding, Competency and Character. Three kinds of learning, always interacting. A triple helix, the DNA of learning. W.Edwards Deming said, ‘ If you can’t explain what you are doing as a process, then you don’t know what you’re doing’ (Common Ground Collaborative, (n.d.)). We agree, so our definition focuses on the process of learning, so that it can drive the process of teaching. We provide, for each of our ‘3Cs’ , a simple, accessible, 3-stage learning/teaching process supported by a comprehensive toolkit for teachers. These processes are embedded in our Learning Modules and have field-tested, proven success in supporting deep learning.
 In this session I will talk about how schools are notoriously complex, compartmentalized and slow to change. This interactive professional learning conversation suggests that the reason we frequently fail to make sustained progress is that we tinker with the parts instead of re-imagining a new 'whole'. The Common Ground Collaborative (CGC) is co-creating change with schools all over the world by building a new, coherent Learning Ecosystem. The system is driven by 5 Questions, each of which drives the development of one key element in the system:
 DEFINE: What is learning?
 DESIGN: What's worth learning?
 DIVERSIFY: How does everyone access learning?
 DELIVER: How do we build learning cultures?
 DEMONSTRATE: How do learners provide evidence of learning?
 As we unpack this system together, we'll also be learning about how this approach builds and sustains culture, curriculum and community. In case this sounds like 'theory', the CGC is led by practitioners. Everything we discuss today is working 'in the field'. CGC is grounded in practice.
 
 Common Ground Collaborative. (n.d.). Purpose: Practices. Retrieved February 12, 2023, from https://www.commongroundcollaborative.org/purpose/practices-clone
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Kibalov, Evgeny, Yakov Gelrud, and Dmitry Shibikin. "THE TRANS-ARCTIC RAILWAY PROJECT: A COALITION ANALYSIS OF INVESTOR INTERACTIONS." Bulletin of the South Ural State University series "Economics and Management" 17, no. 4 (2023): 190–96. http://dx.doi.org/10.14529/em230417.
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This study investigates the conditions for construction financing by private contractors of the western wing of the Transpolar route from Salekhard to Norilsk. The purpose of the article is to con-sider the complex interaction between the customer and expert groups when choosing contractors in condi-tions of limited investment, using the example of a large-scale railway project (LSRWP) Northern Latitu-dinal Way (NLW). The methodology is based on converting expert rankings in an ordinal scale into a nu-merical format, in the form of coefficients of the relative importance (CRI) using ORDEX software. The Shapley method is also considered, which affects the unions of contractors in different coalitions, and en-sures the reliable and timely implementation of the LIP-railway. The result of the work is a comparison of a fair compromise according to Granberg and a compromise according to Shapley, which makes it possible to expand the depth and quality of the analysis for cases when compromises do or do not coincide. The tools allow the customer at the pre-investment stage of the evaluation of LSRWP to structure uncertainty and, using decision theory, evaluate the project first in a situation of probabilistic uncertainty, and then in a situation of improbable (radical) uncertainty. Such an integrated approach allows the customer to avoid catastrophic errors at the pre-investment stage of evaluating projects of this class. The usefulness of the result for the customer lies in the ability to make informed decisions when dis-tributing a fixed amount of investment between contractors. This ensures, when united into different tech-nologically feasible coalitions, stability and reliability in implementing the project.
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Clarke, Ashton, and Polina Zioga. "Scriptwriting for Interactive Crime Films." Interactive Film and Media Journal 2, no. 1 (2022): 106–21. http://dx.doi.org/10.32920/ifmj.v2i1.1524.
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In recent years, the increasing number of interactive films being released, has highlighted the need for further development of methods and criteria that can guide the earlier stages of development, such as the scriptwriting process. Following the framework of interactive storytelling as a spectrum, it is acknowledged that writing a script for an interactive narrative that involves branching path options for navigating through the story, or multiple endings, is becoming more common and presents its own challenges. In this context, this paper examines established criteria used for assessing narrative quality and examines currently available software for interactive scriptwriting, identifying their affordances and limitations. Accordingly, we present Scapegoat, a short interactive crime drama, based on the model of British homicide investigations, and with the objective to investigate in practice the application of the criteria for narrative quality, together with the processes and elements of scriptwriting that can lead to a strong engaging story. We propose an approach that can efficiently incorporate crucial information of the interaction design, it can be effectively communicated to the crew and cast and used throughout the production lifecycle of the film. We highlight the crucial role of the on-set script supervisor for ensuring the interaction design is not compromised, and continuity is retained. We also discuss recommendations for further developments, including the importance of engaging the crew and cast early in the development process, together with future work into the requirements of interactive commissioners for television and film, and the need for standarisation in the industry.
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Perepelitsyn, Serhii, and Andriy Perepelitsyn. "Compromise Between Topology Connection, Load Balance and Wireless Sensor Networks’Anomalies (WSN)." American Journal of Information Science and Technology 9, no. 2 (2025): 79–86. https://doi.org/10.11648/j.ajist.20250902.12.
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The article addresses the challenge of ensuring a compromise between topological connectivity, load balancing, and anomaly detection in Wireless Sensor Networks (WSN). It analyzes current methods and approaches for optimizing the performance of sensor networks under dynamic conditions. The goal of this work is to analyze the interrelationship between these compromise aspects and propose an optimal approach for their integration. The article proposes a combined approach, which enables an optimal trade-off between these characteristics and enhances network interaction efficiency. To ensure the efficient operation of wireless sensor networks (WSN), it is essential to balance three key factors: topological connectivity and stable connectivity, even load distribution and security. Anomaly detection in wireless sensor networks (WSN) is critically important for ensuring their security and reliability. Modern anomaly detection methods include statistical analysis and machine learning techniques. Statistical traffic analysis enables the identification of deviations from normal network behavior, which may indicate anomalies existence. This approach is based on collecting and analyzing network traffic data, such as transmitted data volume, packet frequency, and other parameters. Deviations from established norms can signal potential issues or attacks. Further research in this domain should focus on the development of intelligent algorithms capable of adapting to real-time network changes. The integration of artificial intelligence and machine learning in WSN systems opens new opportunities for improving their efficiency and resilience to environmental changes.
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Kovář, P., M. Pelikán, D. Heřmanovská, and I. Vrana. "How to reach a compromise solution on technical and non-structural flood control measures." Soil and Water Research 9, No. 4 (2014): 143–52. http://dx.doi.org/10.17221/27/2014-swr.
Full textAbstract:
Harmful impacts of floods are the result of an interaction between extreme hydrological events and environmental, social, and economic processes. Flood management should consider many diverse aspects and influences and an integrated approach to flood management therefore plays an important role. In order to make an analysis and provide an adequate flood management, it is necessary to bring together a team comprising experts e.g. from the fields of hydrology and water resources, nature protection, risk management, human security, municipal administration, economics, and land use. Estimates by experts can serve finding solutions to given YES/NO problems, and estimating the value of specific attributes or parameters. It is not easy to adopt the solution which represents the best possible agreement among the participating experts, since experts and other participants can represent diverse standpoints. In particular, landowners and leaseholders upstream a catchment are often in a different position than the members of the municipal flood control committee downstream in a city with a high inhabitancy. In order to measure and evaluate the level of agreement between experts and landowners, a newly developed method for assessing the level of agreement and the &tau;-agreement value was applied. The aim of the present paper is to illustrate the use of a fuzzy-group-agreement decision-making procedure of this kind, involving a broad range of standpoints in a case study of the Zdrav&aacute; Voda catchment, Žaro&scaron;ice, Czech Republic. This illustration has been made by comparison of hydrological model scenarios with the experts&rsquo; decision. The method used in the paper applied towards aggregating expert proposals expressed as fuzzy quantities to propose a binary solution to estimate a decisive parameter numerical value. The decision achieved for the Zdrav&aacute; Voda catchment was that the efficiency of structural measures (polder) was superior over the non-structural measures (replacement of the arable land by grassland).