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Journal articles on the topic 'Workflow resiliency'

Author: Grafiati

Published: 11 March 2023

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1

Wang, Qihua, and Ninghui Li. "Satisfiability and Resiliency in Workflow Authorization Systems." ACM Transactions on Information and System Security 13, no. 4 (2010): 1–35. http://dx.doi.org/10.1145/1880022.1880034.

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Boughrous, Monsef, and Hanan El Bakkali. "A Workflow Criticality-Based Approach to Bypass the Workflow Satisfiability Problem." Security and Communication Networks 2021 (October 25, 2021): 1–15. http://dx.doi.org/10.1155/2021/3330923.

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Workflow management systems are very important for any organization to manage and model complex business processes. However, significant work is needed to keep a workflow resilient and secure. Therefore, organizations apply a strict security policy and enforce access control constraints. As a result, the number of available and authorized users for the workflow execution decreases drastically. Thus, in many cases, such a situation leads to a workflow deadlock situation, where there no available authorized user-task assignments for critical tasks to accomplish the workflow execution. In the lit

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Tavana, Madjid, Timothy E. Busch, and Eleanor L. Davis. "Modeling Operational Robustness and Resiliency with High-Level Petri Nets." International Journal of Knowledge-Based Organizations 1, no. 2 (2011): 17–38. http://dx.doi.org/10.4018/ijkbo.2011040102.

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Military operations are highly complex workflow systems that require careful planning and execution. The interactive complexity and tight coupling between people and technological systems has been increasing in military operations, which leads to both improved efficiency and a greater vulnerability to mission accomplishment due to attack or system failure. Although the ability to resist and recover from failure is important to many systems and processes, the robustness and resiliency of workflow management systems has received little attention in literature. The authors propose a novel workflo

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Tavana, Madjid, Timothy E. Busch, and Eleanor L. Davis. "Fuzzy Multiple Criteria Workflow Robustness and Resiliency Modeling with Petri Nets." International Journal of Knowledge-Based Organizations 1, no. 4 (2011): 72–90. http://dx.doi.org/10.4018/ijkbo.2011100105.

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The increasing complexity and tight coupling between people and computer systems in military operations has led to improved efficiency, as well as greater vulnerability due to system failure. Careful management of workflow systems can minimize operational vulnerability in command and control. Tavana et al. (2011) developed a workflow management framework capable of both modeling structure and providing a wide range of quantitative analysis with high-level Petri nets (PNs). The framework is based on a sustainability index that captures the concepts of self-protecting and self-healing systems. T

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Thurzo, Andrej, Filip Kočiš, Bohuslav Novák, Ladislav Czako, and Ivan Varga. "Three-Dimensional Modeling and 3D Printing of Biocompatible Orthodontic Power-Arm Design with Clinical Application." Applied Sciences 11, no. 20 (2021): 9693. http://dx.doi.org/10.3390/app11209693.

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Three-dimensional (3D) printing with biocompatible resins offers new competition to its opposition—subtractive manufacturing, which currently dominates in dentistry. Removing dental material layer-by-layer with lathes, mills or grinders faces its limits when it comes to the fabrication of detailed complex structures. The aim of this original research was to design, materialize and clinically evaluate a functional and resilient shape of the orthodontic power-arm by means of biocompatible 3D printing. To improve power-arm resiliency, we have employed finite element modelling and analyzed stress

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Sasser, Caroline Welles, Michael D. Wolcott, Kathryn A. Morbitzer, and Stephen F. Eckel. "Lessons learned from pharmacy learner and educator experiences during early stages of COVID-19 pandemic." American Journal of Health-System Pharmacy 78, no. 10 (2021): 872–78. http://dx.doi.org/10.1093/ajhp/zxab076.

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Abstract Purpose To explore pharmacy learner (eg, resident, fellow) and educator (eg, residency program director, preceptor) experiences and lessons learned during the coronavirus disease 2019 (COVID-19) pandemic. Methods In May 2020, attendees of the virtual Research in Education and Practice Symposium (REPS) were invited to participate in two 1-hour networking sessions. During these sessions, participants completed individual and group reflection exercises where they were asked questions about their experiences during the initial stages of the COVID-19 pandemic. Participants who volunteered

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Xu, Zexuan, Rebecca Serata, Haruko Wainwright, et al. "Reactive transport modeling for supporting climate resilience at groundwater contamination sites." Hydrology and Earth System Sciences 26, no. 3 (2022): 755–73. http://dx.doi.org/10.5194/hess-26-755-2022.

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Abstract. Climate resilience is an emerging issue at contaminated sites and hazardous waste sites, since projected climate shifts (e.g., increased/decreased precipitation) and extreme events (e.g., flooding, drought) could affect ongoing remediation or closure strategies. In this study, we develop a reactive transport model (Amanzi) for radionuclides (uranium, tritium, and others) and evaluate how different scenarios under climate change will influence the contaminant plume conditions and groundwater well concentrations. We demonstrate our approach using a two-dimensional (2D) reactive transpo

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Collins, Rhonda. "COVID-19: Nurses have responded, now it is time to support them as we move forward." Healthcare Management Forum 33, no. 5 (2020): 190–94. http://dx.doi.org/10.1177/0840470420953297.

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The inspiration for The American Nurse Project, Dr. Rhonda Collins, DNP, RN, FAAN, is Chief Nursing Officer for Vocera Communications. Every year around Nurses Week, Dr. Collins publishes a report examining important issues that impact the nursing profession worldwide. Her 2020 CNO report looks at many of the challenges impacting nurses before, during, and after COVID-19—highlighting the mental anguish and physical burdens that COVID-19 has placed on nurses and other frontline healthcare workers as they put themselves in harm’s way to protect others. Dr. Collins examines the foundation of cogn

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Ackerman, Aidan, Jonathan Cave, Chien-Yu Lin, and Kyle Stillwell. "Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach." International Journal of Architectural Computing 17, no. 2 (2019): 125–47. http://dx.doi.org/10.1177/1478077119849659.

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Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimenta

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Carwana, Matthew, Taylor Ricci, Alesia DiCicco, et al. "96 Impact and Feasibility of a Pediatric Social Determinants of Health Questionnaire: A Pilot Mixed-Methods Study." Paediatrics & Child Health 27, Supplement_3 (2022): e45-e46. http://dx.doi.org/10.1093/pch/pxac100.095.

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Abstract Background Social determinants of health (SDoH)—which are factors such as socioeconomic status (SES), access to transportation, food and housing security, disability and social supports—have been shown to influence up to 50% of health in patients. The project team developed a SDoH Questionnaire which evolved into what is now referred to as BEARS (Barriers to Care, Economic Factors, Adversity, Resiliency, Social Capital). Part of the BEARS Questionnaire includes an optional section for inquiring about Adverse Childhood Experiences (ACEs). Objectives The primary purpose of this study wa

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Crampton, Jason, Gregory Gutin, Daniel Karapetyan, and Rémi Watrigant. "The bi-objective workflow satisfiability problem and workflow resiliency1." Journal of Computer Security 25, no. 1 (2017): 83–115. http://dx.doi.org/10.3233/jcs-16849.

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Wu, Danny T. Y., Lindsey Barrick, Mustafa Ozkaynak, Katherine Blondon, and Kai Zheng. "Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation." Applied Clinical Informatics 13, no. 01 (2022): 132–38. http://dx.doi.org/10.1055/s-0041-1741480.

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Abstract Background Automation of health care workflows has recently become a priority. This can be enabled and enhanced by a workflow monitoring tool (WMOT). Objectives We shared our experience in clinical workflow analysis via three cases studies in health care and summarized principles to design and develop such a WMOT. Methods The case studies were conducted in different clinical settings with distinct goals. Each study used at least two types of workflow data to create a more comprehensive picture of work processes and identify bottlenecks, as well as quantify them. The case studies were

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Safi, Mariam, Bettina Ravnborg Thude, Frans Brandt, and Robyn Clay-Williams. "The resilient potential behaviours in an Internal Medicine Department: Application of resilience assessment grid." PLOS ONE 17, no. 10 (2022): e0276178. http://dx.doi.org/10.1371/journal.pone.0276178.

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Background The healthcare system is frequently subject to unpredictable conditions such as organisational changes and pandemics. In order to perform as required under these conditions (i.e. exhibiting resilient behaviour), it is necessary to know the current position of the organisation with respect to the four resilient potentials i.e. respond, monitor, learn and anticipate. The study aimed to understand and assess resilient performance of an Internal Medicine Department in a public hospital in Denmark using the resilience assessment grid (RAG). Methods A modified Delphi method was used to de

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Yang, Yifan, S. Thomas Ng, Frank J. Xu, Martin Skitmore, and Shenghua Zhou. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework." Sustainability 11, no. 16 (2019): 4439. http://dx.doi.org/10.3390/su11164439.

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It is rather difficult for the stakeholders to understand and implement the resilience concept and principles in the infrastructure asset management paradigm, as it demands quality data, holistic information integration and competent data analytics capabilities to identify infrastructure vulnerabilities, evaluate and predict infrastructure adaptabilities to different hazards, as well as to make damage restoration and resilience improvement strategies and plans. To meet the stakeholder’s urgent needs, this paper proposes an information elicitation and analytical framework for resilient infrastr

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Xie, Fei, Jun Yan, and Jun Shen. "A Novel PageRank-Based Fault Handling Strategy for Workflow Scheduling in Cloud Data Centers." International Journal of Web Services Research 18, no. 4 (2021): 1–26. http://dx.doi.org/10.4018/ijwsr.2021100101.

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Unexpected faults result in unscheduled cloud outage, which negatively affects the completion of workflow tasks in the cloud. This paper presents a novel PageRank-based fault handling strategy to rescue workflow tasks at the faulty data center. The proposed approach uses a holistic view and considers the task attributes, the timeline scenario, and the overall cloud performance. A priority assignment system is developed based on the modified PageRank algorithm to prioritise workflow tasks. A min-max normalization method is applied to select the target data center and match the timeline at this

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Nguyên, Toàn, Laurentiu Trifan, and Jean-Antoine Désidéri. "Resilient workflows for computational mechanics platforms." IOP Conference Series: Materials Science and Engineering 10 (June 1, 2010): 012015. http://dx.doi.org/10.1088/1757-899x/10/1/012015.

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Anderson, J. E., A. J. Ross, J. Back, et al. "Beyond ‘find and fix’: improving quality and safety through resilient healthcare systems." International Journal for Quality in Health Care 32, no. 3 (2020): 204–11. http://dx.doi.org/10.1093/intqhc/mzaa007.

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Abstract Objective The aim was to develop a method based on resilient healthcare principles to proactively identify system vulnerabilities and quality improvement interventions. Design Ethnographic methods to understand work as it is done in practice using concepts from resilient healthcare, the Concepts for Applying Resilience Engineering model and the four key activities that are proposed to underpin resilient performance—anticipating, monitoring, responding and learning. Setting Accident and Emergency Department (ED) and the Older People’s Unit (OPU) of a large teaching hospital in central

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Lohr, Chaelynne E., Kelly R. B. Sporer, Kelsey A. Brigham, et al. "Phenotypic Selection of Dairy Cattle Infected with Bovine Leukemia Virus Demonstrates Immunogenetic Resilience through NGS-Based Genotyping of BoLA MHC Class II Genes." Pathogens 11, no. 1 (2022): 104. http://dx.doi.org/10.3390/pathogens11010104.

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Characterization of the bovine leukocyte antigen (BoLA) DRB3 gene has shown that specific alleles associate with susceptibility or resilience to the progression of bovine leukemia virus (BLV), measured by proviral load (PVL). Through surveillance of multi-farm BLV eradication field trials, we observed differential phenotypes within seropositive cows that persist from months to years. We sought to develop a multiplex next-generation sequencing workflow (NGS-SBT) capable of genotyping 384 samples per run to assess the relationship between BLV phenotype and two BoLA genes. We utilized longitudina

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Kim, Hyunjoo, Yaakoub el-Khamra, Ivan Rodero, Shantenu Jha, and Manish Parashar. "Autonomic Management of Application Workflows on Hybrid Computing Infrastructure." Scientific Programming 19, no. 2-3 (2011): 75–89. http://dx.doi.org/10.1155/2011/940242.

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In this paper, we present a programming and runtime framework that enables the autonomic management of complex application workflows on hybrid computing infrastructures. The framework is designed to address system and application heterogeneity and dynamics to ensure that application objectives and constraints are satisfied. The need for such autonomic system and application management is becoming critical as computing infrastructures become increasingly heterogeneous, integrating different classes of resources from high-end HPC systems to commodity clusters and clouds. For example, the framewo

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Watson, C. Scott, John R. Elliott, Susanna K. Ebmeier, et al. "Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador." Natural Hazards and Earth System Sciences 22, no. 5 (2022): 1699–721. http://dx.doi.org/10.5194/nhess-22-1699-2022.

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Abstract. Greenspaces within broader ecosystem-based disaster risk reduction (Eco-DRR) strategies provide multiple benefits to society, biodiversity, and addressing climate breakdown. In this study, we investigated urban growth, its intersection with hazards, and the availability of greenspace for disaster risk reduction (DRR) in the city of Quito, Ecuador, which experiences multiple hazards including landslides, floods, volcanoes, and earthquakes. We used satellite data to quantify urban sprawl and developed a workflow incorporating high-resolution digital elevation models (DEMs) to identify

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Platt, Lisa Sundahl, and Ann Fronczek. "Using a Fuzzy Framework for applying King’s Theory of Goal Attainment to Improve Hospital Acquired Infection Resilience." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 9, no. 1 (2020): 275–84. http://dx.doi.org/10.1177/2327857920091037.

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This article explores techniques for estimating Hospital Acquired Infection prevention potential through strategic nursing care delivery design and applied fuzzy frameworks. To achieve this, it evaluates the use of Fuzzy Logic directed by King’s Theory of Nursing Goal Attainment for developing a HAI resilience process model. The purpose of this model is to estimate the performance of environment of care safety based on the ability of nurses to moderate risk and respond adaptively to certain types of hospital-onset infections through strategic workflow design. The aim of this proposed approach

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Lista, Maria Jose, Pedro M. Matos, Thomas J. A. Maguire, et al. "Resilient SARS-CoV-2 diagnostics workflows including viral heat inactivation." PLOS ONE 16, no. 9 (2021): e0256813. http://dx.doi.org/10.1371/journal.pone.0256813.

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There is a worldwide need for reagents to perform SARS-CoV-2 detection. Some laboratories have implemented kit-free protocols, but many others do not have the capacity to develop these and/or perform manual processing. We provide multiple workflows for SARS-CoV-2 nucleic acid detection in clinical samples by comparing several commercially available RNA extraction methods: QIAamp Viral RNA Mini Kit (QIAgen), RNAdvance Blood/Viral (Beckman) and Mag-Bind Viral DNA/RNA 96 Kit (Omega Bio-tek). We also compared One-step RT-qPCR reagents: TaqMan Fast Virus 1-Step Master Mix (FastVirus, ThermoFisher S

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Hamati, Mary C., Atlee Witt, Michaele Francesco Corbisiero, Michael Tuffiash, and Kenneth J. Hunt. "Tracking Patient Reported Outcomes in Orthopaedic Surgical Patients at a Single Institution." Foot & Ankle Orthopaedics 7, no. 1 (2022): 2473011421S0022. http://dx.doi.org/10.1177/2473011421s00225.

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Category: Ankle; Other Introduction/Purpose: As the American healthcare system evolves into a value-based reimbursement model, emphasis on tracking and reporting healthcare outcomes has expounded. Patient reported outcome Measures (PROMs) are exceedingly valuable to orthopedists as a means to measure improvement and satisfy regulatory requirements. The NIH Patient-Reported Outcomes Measurement Information System (PROMIS) surveys are favored due to their accessibility, efficiency, and minimal floor and ceiling effects. Furthermore, they have been shown to predict outcomes after orthopedic surge

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Xu, Jinwen, and Yi Qiang. "Spatial Assessment of Community Resilience from 2012 Hurricane Sandy Using Nighttime Light." Remote Sensing 13, no. 20 (2021): 4128. http://dx.doi.org/10.3390/rs13204128.

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Quantitative assessment of community resilience is a challenge due to the lack of empirical data about human dynamics in disasters. To fill the data gap, this study explores the utility of nighttime lights (NTL) remote sensing images in assessing community recovery and resilience in natural disasters. Specifically, this study utilized the newly-released NASA moonlight-adjusted SNPP-VIIRS daily images to analyze spatiotemporal changes of NTL radiance in Hurricane Sandy (2012). Based on the conceptual framework of recovery trajectory, NTL disturbance and recovery during the hurricane were calcul

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Tinte, Morena M., Kekeletso H. Chele, Justin J. J. van der Hooft, and Fidele Tugizimana. "Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview." Metabolites 11, no. 7 (2021): 445. http://dx.doi.org/10.3390/metabo11070445.

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Plants are constantly challenged by changing environmental conditions that include abiotic stresses. These are limiting their development and productivity and are subsequently threatening our food security, especially when considering the pressure of the increasing global population. Thus, there is an urgent need for the next generation of crops with high productivity and resilience to climate change. The dawn of a new era characterized by the emergence of fourth industrial revolution (4IR) technologies has redefined the ideological boundaries of research and applications in plant sciences. Re

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Tayeen, Abu Saleh Md, Thanh Hai Nguyen, Van Duc Nguyen, and Enrico Pontelli. "Design and Implementation of Phylotastic, a Service Architecture for Evolutionary Biology." International Journal of Software Engineering and Knowledge Engineering 30, no. 10 (2020): 1525–50. http://dx.doi.org/10.1142/s0218194020500382.

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Access and reuse of authoritative phylogenetic knowledge have been a longstanding challenges in the evolutionary biology community — leading to a number of research efforts (e.g. focused on interoperation, standardization of formats, and development of minimum reporting requirements). The Phylotastic project was launched to provide an answer to such challenges — as an architectural concept collaboratively designed by evolutionary biologists and computer scientists. This paper describes the first comprehensive implementation of the Phylotastic architecture, based on an open platform for Web ser

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Winckers, Laurent A., Chris T. Evelo, Egon L. Willighagen, and Martina Kutmon. "Investigating the Molecular Processes behind the Cell-Specific Toxicity Response to Titanium Dioxide Nanobelts." International Journal of Molecular Sciences 22, no. 17 (2021): 9432. http://dx.doi.org/10.3390/ijms22179432.

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Some engineered nanomaterials incite toxicological effects, but the underlying molecular processes are understudied. The varied physicochemical properties cause different initial molecular interactions, complicating toxicological predictions. Gene expression data allow us to study the responses of genes and biological processes. Overrepresentation analysis identifies enriched biological processes using the experimental data but prompts broad results instead of detailed toxicological processes. We demonstrate a targeted filtering approach to compare public gene expression data for low and high

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Ferreira da Silva, Rafael, Rosa Filgueira, Ewa Deelman, Erola Pairo-Castineira, Ian M. Overton, and Malcolm P. Atkinson. "Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows." Future Generation Computer Systems 95 (June 2019): 615–28. http://dx.doi.org/10.1016/j.future.2019.01.015.

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Usynin, Dmitrii, Daniel Rueckert, Jonathan Passerat-Palmbach, and Georgios Kaissis. "Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning." Proceedings on Privacy Enhancing Technologies 2022, no. 1 (2021): 274–90. http://dx.doi.org/10.2478/popets-2022-0014.

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Abstract In this study, we aim to bridge the gap between the theoretical understanding of attacks against collaborative machine learning workflows and their practical ramifications by considering the effects of model architecture, learning setting and hyperparameters on the resilience against attacks. We refer to such mitigations as model adaptation. Through extensive experimentation on both, benchmark and real-life datasets, we establish a more practical threat model for collaborative learning scenarios. In particular, we evaluate the impact of model adaptation by implementing a range of atta

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Lenert, Matthew C., Michael E. Matheny, and Colin G. Walsh. "Prognostic models will be victims of their own success, unless…" Journal of the American Medical Informatics Association 26, no. 12 (2019): 1645–50. http://dx.doi.org/10.1093/jamia/ocz145.

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Abstract Predictive analytics have begun to change the workflows of healthcare by giving insight into our future health. Deploying prognostic models into clinical workflows should change behavior and motivate interventions that affect outcomes. As users respond to model predictions, downstream characteristics of the data, including the distribution of the outcome, may change. The ever-changing nature of healthcare necessitates maintenance of prognostic models to ensure their longevity. The more effective a model and intervention(s) are at improving outcomes, the faster a model will appear to d

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Rodríguez-Pascual, Manuel, Christos Kanellopoulos, Antonio Juan Rubio-Montero, et al. "Adapting Reproducible Research Capabilities to Resilient Distributed Calculations." International Journal of Grid and High Performance Computing 8, no. 1 (2016): 58–69. http://dx.doi.org/10.4018/ijghpc.2016010105.

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Nowadays, computing calculations are becoming more and more demanding due to the huge pool of resources available. This demand must be satisfied in terms of computational efficiency and resilience, which is compromised in distributed and heterogeneous platforms. Not only this, data obtained are often either reused by other researchers or recalculated. In this work, a set of tools to overcome the problem of creating and executing fault tolerant distributed applications on dynamic environments is presented. Such a set also ensures the reproducibility of the performed experiments providing a port

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Glas, Hanne, Ivan Rocabado, Steven Huysentruyt, et al. "Flood Risk Mapping Worldwide: A Flexible Methodology and Toolbox." Water 11, no. 11 (2019): 2371. http://dx.doi.org/10.3390/w11112371.

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Flood risk assessments predict the potential consequences of flooding, leading to more effective risk management and strengthening resilience. However, adequate assessments rely on large quantities of high-quality input data. Developing regions lack reliable data or funds to acquire them. Therefore, this research has developed a flexible, low-cost methodology for mapping flood hazard, vulnerability and risk. A generic methodology was developed and customized for freely available data with global coverage, enabling risk assessment worldwide. The default workflow can be enriched with region-spec

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Supasri, Kanoknate M., Manoj Kumar, Mano J. Mathew, et al. "Evaluation of Filter, Paramagnetic, and STAGETips Aided Workflows for Proteome Profiling of Symbiodiniaceae Dinoflagellate." Processes 9, no. 6 (2021): 983. http://dx.doi.org/10.3390/pr9060983.

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The integrity of coral reef ecosystems worldwide rests on a fine-tuned symbiotic interaction between an invertebrate and a dinoflagellate microalga from the family Symbiodiniaceae. Recent advances in bottom-up shotgun proteomic approaches and the availability of vast amounts of genetic information about Symbiodiniaceae have provided a unique opportunity to better understand the molecular mechanisms underpinning the interactions of coral-Symbiodiniaceae. However, the resilience of this dinoflagellate cell wall, as well as the presence of polyanionic and phenolics cell wall components, requires

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Lu, Xinzheng, Qingle Cheng, Zhen Xu, Yongjia Xu, and Chujin Sun. "Real-Time City-Scale Time-History Analysis and Its Application in Resilience-Oriented Earthquake Emergency Responses." Applied Sciences 9, no. 17 (2019): 3497. http://dx.doi.org/10.3390/app9173497.

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The resilience of cities has received worldwide attention. An accurate and rapid assessment of seismic damage, economic loss, and post-event repair time can provide an important reference for emergency rescue and post-earthquake recovery. Based on city-scale nonlinear time-history analysis (THA) and regional seismic loss prediction, a real-time city-scale time-history analysis method is proposed in this work. In this method, the actual ground motion records obtained from seismic stations are input into the building models of the earthquake-stricken area, and the nonlinear time-history analysis

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Nyerges, Timothy, John A. Gallo, Steven D. Prager, Keith M. Reynolds, Philip J. Murphy, and WenWen Li. "Synthesizing Vulnerability, Risk, Resilience, and Sustainability into VRRSability for Improving Geoinformation Decision Support Evaluations." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 179. http://dx.doi.org/10.3390/ijgi10030179.

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This paper synthesizes vulnerability, risk, resilience, and sustainability (VRRS) in a way that can be used for decision evaluations about sustainable systems, whether such systems are called coupled natural–human systems, social–ecological systems, coupled human–environment systems, and/or hazards influencing global environmental change, all considered geospatial open systems. Evaluations of V-R-R-S as separate concepts for complex decision problems are important, but more insightful when synthesized for improving integrated decision priorities based on trade-offs of V-R-R-S objectives. A syn

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Marmolejo-Martínez-Artesero, Sara, Caty Casas, and David Romeo-Guitart. "Endogenous Mechanisms of Neuroprotection: To Boost or Not to Be." Cells 10, no. 2 (2021): 370. http://dx.doi.org/10.3390/cells10020370.

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Postmitotic cells, like neurons, must live through a lifetime. For this reason, organisms/cells have evolved with self-repair mechanisms that allow them to have a long life. The discovery workflow of neuroprotectors during the last years has focused on blocking the pathophysiological mechanisms that lead to neuronal loss in neurodegeneration. Unfortunately, only a few strategies from these studies were able to slow down or prevent neurodegeneration. There is compelling evidence demonstrating that endorsing the self-healing mechanisms that organisms/cells endogenously have, commonly referred to

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Vetter, Michael. "MODEL-BASED SECURITY ANALYSIS OF FPGA DESIGNS THROUGH REINFORCEMENT LEARNING." Acta Polytechnica 59, no. 5 (2019): 518–26. http://dx.doi.org/10.14311/ap.2019.59.0518.

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Finding potential security weaknesses in any complex IT system is an important and often challenging task best started in the early stages of the development process. We present a method that transforms this task for FPGA designs into a reinforcement learning (RL) problem. This paper introduces a method to generate a Markov Decision Process based RL model from a formal, high-level system description (formulated in the domain-specific language) of the system under review and different, quantified assumptions about the system’s security. Probabilistic transitions and the reward function can be u

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HUNG, PATRICK C. K., KAMALAKAR KARLAPALEM, and JAMES GRAY. "LEAST PRIVILEGE SECURITY IN CAPBASED-AMS." International Journal of Cooperative Information Systems 08, no. 02n03 (1999): 139–68. http://dx.doi.org/10.1142/s0218843099000083.

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Workflow systems are becoming very popular and are being used to support many of the day to day activities in large organizations. One of the major problems with workflow systems is that they often use heterogeneous and distributed hardware and software systems to execute a given activity. This gives rise to decentralized security policies and mechanisms, which, in order to enable activity execution, give too many privileges (for accessing resources like documents) to the agents (humans or systems) for executing the work. We develop the concept of least priviledge, wherein the set of agents ar

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Sánchez-Carballido, Sergio, Orti Senderos, Marcos Nieto, and Oihana Otaegui. "Semi-Automatic Cloud-Native Video Annotation for Autonomous Driving." Applied Sciences 10, no. 12 (2020): 4301. http://dx.doi.org/10.3390/app10124301.

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An innovative solution named Annotation as a Service (AaaS) has been specifically designed to integrate heterogeneous video annotation workflows into containers and take advantage of a cloud native highly scalable and reliable design based on Kubernetes workloads. Using the AaaS as a foundation, the execution of automatic video annotation workflows is addressed in the broader context of a semi-automatic video annotation business logic for ground truth generation for Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS). The document presents design decisions, innovative develop

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Spiegelhalter, T., and L. C. Werner. "Methods for In-Silico Environmental Resilience, 2018 to 2100." IOP Conference Series: Earth and Environmental Science 1078, no. 1 (2022): 012139. http://dx.doi.org/10.1088/1755-1315/1078/1/012139.

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Abstract The research focuses on Genetic Water-Energy-Food Nexus Design Research Scenarios for Miami’s Greater Islands. The Paris Agreement - 21st international Conference of Parties (COP 21) to the United Nations Framework Convention on Climate Change (UNFCCC) supports professional and municipal architecture and urban design practice emphasizing greenhouse gas reductions and carbon-neutral city planning and operations. In this respect, Miami benefits through multiple large-scale grants focusing on strategic solutions to combat and adapt to the effects of global warming, sea-level rise, floodi

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Kinney, Ashley, Quyen Bui, Jane Hodding, and Jennifer Le. "Pharmacy Dashboard: An Innovative Process for Pharmacy Workload and Productivity." Hospital Pharmacy 52, no. 3 (2017): 198–206. http://dx.doi.org/10.1310/hpj5203-198.

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Background Innovative approaches, including LEAN systems and dashboards, to enhance pharmacy production continue to evolve in a cost and safety conscious health care environment. Furthermore, implementing and evaluating the effectiveness of these novel methods continues to be challenging for pharmacies. Objective To describe a comprehensive, real-time pharmacy dashboard that incorporated LEAN methodologies and evaluate its utilization in an inpatient Central Intravenous Additives Services (CIVAS) pharmacy. Methods Long Beach Memorial Hospital (462 adult beds) and Miller Children's and Women's

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Angelats, E., J. Soriano-González, M. Fernández-Tejedor, and C. Alcaraz. "COMBINED FLOODING AND WATER QUALITY MONITORING DURING SHORT EXTREME EVENTS USING SENTINEL 2: THE CASE STUDY OF GLORIA STORM IN EBRO DELTA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 361–68. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-361-2022.

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Abstract. Short extreme events have significant impact on landscape and ecosystems in low-lying and exposed areas such as deltaic systems. In this context, this paper proposes a combined methodology for the mapping and monitoring of the flooding and water quality dynamics of coastal areas under extreme storms from Sentinel 2 imagery. The proposed methodology has been applied in a coastal bay of the Ebro Delta (Catalonia, NE Spain) to evaluate jointly the impact of Gloria storm (January 2020) in land-flooding and water quality. The experimental results show that the Gloria storm had a strong mo

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Rist, Florian, Doreen Gabriel, Jennifer Mack, Volker Steinhage, Reinhard Töpfer, and Katja Herzog. "Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches." Remote Sensing 11, no. 24 (2019): 2953. http://dx.doi.org/10.3390/rs11242953.

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In grapevine breeding, loose grape bunch architecture is one of the most important selection traits, contributing to an increased resilience towards Botrytis bunch rot. Grape bunch architecture is mainly influenced by the berry number, berry size, the total berry volume, and bunch width and length. For an objective, precise, and high-throughput assessment of these architectural traits, the 3D imaging sensor Artec® Spider was applied to gather dense point clouds of the visible side of grape bunches directly in the field. Data acquisition in the field is much faster and non-destructive in compar

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Lercari, Nicola, Denise Jaffke, Arianna Campiani, et al. "Building Cultural Heritage Resilience through Remote Sensing: An Integrated Approach Using Multi-Temporal Site Monitoring, Datafication, and Web-GL Visualization." Remote Sensing 13, no. 20 (2021): 4130. http://dx.doi.org/10.3390/rs13204130.

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In the American West, wildfires and earthquakes are increasingly threatening the archaeological, historical, and tribal resources that define the collective identity and connection with the past for millions of Americans. The loss of said resources diminishes societal understanding of the role cultural heritage plays in shaping our present and future. This paper examines the viability of employing stationary and SLAM-based terrestrial laser scanning, close-range photogrammetry, automated surface change detection, GIS, and WebGL visualization techniques to enhance the preservation of cultural r

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Mei, Yueli, Xiuyun Guo, Zhihao Chen, and Yingzhi Chen. "An Effective Mechanism for the Early Detection and Containment of Healthcare Worker Infections in the Setting of the COVID-19 Pandemic: A Systematic Review and Meta-Synthesis." International Journal of Environmental Research and Public Health 19, no. 10 (2022): 5943. http://dx.doi.org/10.3390/ijerph19105943.

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The COVID-19 pandemic has exposed healthcare workers (HCWs) to serious infection risks. In this context, the proactive monitoring of HCWs is the first step toward reducing intrahospital transmissions and safeguarding the HCW population, as well as reflecting the preparedness and response of the healthcare system. As such, this study systematically reviewed the literature on evidence-based effective monitoring measures for HCWs during the COVID-19 pandemic. This was followed by a meta-synthesis to compile the key findings, thus, providing a clearer overall understanding of the subject. Effectiv

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Brédif, M., L. Caraffa, M. Yirci, and P. Memari. "PROVABLY CONSISTENT DISTRIBUTED DELAUNAY TRIANGULATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 195–202. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-195-2020.

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Abstract. This paper deals with the distributed computation of Delaunay triangulations of massive point sets, mainly motivated by the needs of a scalable out-of-core surface reconstruction workflow from massive urban LIDAR datasets. Such a data often corresponds to a huge point cloud represented through a set of tiles of relatively homogeneous point sizes. This will be the input of our algorithm which will naturally partition this data across multiple processing elements. The distributed computation and communication between processing elements is orchestrated efficiently through an uncentrali

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Krassakis, Pavlos, Andreas Karavias, Evangelia Zygouri, et al. "GIS-Based Assessment of Hybrid Pumped Hydro Storage as a Potential Solution for the Clean Energy Transition: The Case of the Kardia Lignite Mine, Western Greece." Sensors 23, no. 2 (2023): 593. http://dx.doi.org/10.3390/s23020593.

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Planned decommissioning of coal-fired plants in Europe requires innovative technical and economic strategies to support coal regions on their path towards a climate-resilient future. The repurposing of open pit mines into hybrid pumped hydro power storage (HPHS) of excess energy from the electric grid, and renewable sources will contribute to the EU Green Deal, increase the economic value, stabilize the regional job market and contribute to the EU energy supply security. This study aims to present a preliminary phase of a geospatial workflow used to evaluate land suitability by implementing a

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Zhang, Shihao, Junhe Tan, Junhang Liu, Jiaqi Wang, and Ata Tara. "Suitability Prediction and Enhancement of Future Water Supply Systems in Barwon Region in Victoria, Australia." Land 11, no. 5 (2022): 621. http://dx.doi.org/10.3390/land11050621.

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Intensive agricultural production accompanied by the climate change impacts in post-Colonial rural landscapes have continuously increased the demand for water resources and coastal areas, showing an unprecedented water supply crisis. By taking extreme weather conditions and rainfall events for future trends, a resilient water storage facility for the landscape requires the collaborative approach of natural systems and simulation modelling techniques to develop sustainable future scenarios. In this study, an ecological suitability model is used to identify potential sites for the construction o

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Shah, Amika, Milena Guessi, Sahr Wali, et al. "The Resilience of Cardiac Care Through Virtualized Services During the COVID-19 Pandemic: Case Study of a Heart Function Clinic." JMIR Cardio 5, no. 1 (2021): e25277. http://dx.doi.org/10.2196/25277.

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Background Virtual care has historically faced barriers to widespread adoption. However, the COVID-19 pandemic has necessitated the rapid adoption and expansion of virtual care technologies. Although the intense and prolonged nature of the COVID-19 pandemic has renewed people’s interest in health systems resilience, which includes how services adapt or transform in response to shocks, evidence regarding the role of virtual care technologies in health systems resilience is scarce. Objective At Toronto General Hospital in Ontario, Canada, the rapid virtualization of cardiac care began on March 9

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Wu, Zhiqiang, Yuankai Wang, Wei Gan, et al. "A Survey of the Landscape Visibility Analysis Tools and Technical Improvements." International Journal of Environmental Research and Public Health 20, no. 3 (2023): 1788. http://dx.doi.org/10.3390/ijerph20031788.

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Visual perception of the urban landscape in a city is complex and dynamic, and it is largely influenced by human vision and the dynamic spatial layout of the attractions. In return, landscape visibility not only affects how people interact with the environment but also promotes regional values and urban resilience. The development of visibility has evolved, and the digital landscape visibility analysis method allows urban researchers to redefine visible space and better quantify human perceptions and observations of the landscape space. In this paper, we first reviewed and compared the theoret

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