2022: state in transitional era in transitional area by Тетяна Костюк

“…The depressing regularity of social cataclysms, wars, crises, and local conflicts convincingly testifies to the extreme complexity of this task. Such complexity, however, does not negate the need and importance of scientific support for the analysis of the causes of specific bifurcation points in the societies’ evolution and the development of new theoretical and empirical approaches to the study of their consequences, renaissances and transformations. …”
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Antidepressant Switching as a Proxy Phenotype for Drug Nonresponse: Investigating Clinical, Demographic, and Genetic Characteristics by Chris Wai Hang Lo, Alexandra C. Gillett, Matthew H. Iveson, Michelle Kamp, Chiara Fabbri, Win Lee Edwin Wong, Dale Handley, Oliver Pain, Evangelos Vassos, Naomi R. Wray, Heather C. Whalley, Danyang Li, Allan H. Young, Andrew M. McIntosh, Cathryn M. Lewis

“…Methods: In the UK Biobank (UKB) (N = 38,813) and Generation Scotland (N = 1777) datasets, SSRI switching was defined using ≤90-day gap between prescriptions for an SSRI and another antidepressant in primary care. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

“…Notably, the ecological environment exhibits an inverted U-shaped influence, indicating that while moderate improvements in ecological features promote engagement, excessive environmental complexity or overdesign may reduce activity levels beyond a certain threshold. …”
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Analyzing Political Distrust as a Driving Factor for Protesting Political Actions in the Context of Security Threats and Political Corruption by Mahmoudreza Rahbarqazi, Morteza Ebrahimi

“…By addressing this important gap in the literature, the research offered valuable insights into the dynamics of political behavior and social unrest.     …”
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The creation and application of the Project Management Adherence Tool (PMAT) in understanding and advancing deflection programs and other community-based initiatives by Carol Gregory, Scott Allen, Mike Botieri, Daniel Meloy

“… The opioid overdose crisis in the United States has given rise to innovative solutions to address behavioural health problems in communities. These complex initiatives vary greatly, making it difficult to understand what makes them successful and where their gaps and needs are, which impairs the ability to know how to best apply resources. …”
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A comparative study of intelligent surveillance with big data: methods, strengths, weaknesses, and future directions by Imad Qasim Habeeb, Hanan Najm Abdulkhudhur, Zeyad Qasim Al-Zaydi

“…I hope that this comparative study will be a challenge for researchers and graduate students to find the gaps faster and to overcome the drawbacks in the current intelligent surveillance methods using complex scenarios. …”
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Tropical cyclones in Bangladesh: retrospective analysis of storm information, disaster statistics, and preparedness by Md. Rezuanul Islam

“…Characterizing and understanding the complex and multifaceted nature of TCs is essential for identifying gaps and opportunities to enhance the effectiveness of disaster management practices. …”
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Natural killer cells in skin: a unique opportunity to better characterize the many facets of an overlooked secondary lymphoid organ by Kirsten M. Johnson, Dean A. Lee

“…Importantly, we elucidate significant gaps in the understanding of the complex role for NK cells in skin homeostasis and pathology, and posit unique opportunities the accessibility of this secondary lymphoid organ provides for translational studies to improve our understanding of cutaneous immunity.…”
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Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect by Li Jie, Lian Hailong, Lan Hai, Wang Zhiyong

“…Larger flow rates and smaller gaps will increase the maximum value of the cavitation effect volume fraction. …”
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Anticipating climate change-related mobility in Karachi and Ho Chi Minh City: lessons from a hybrid foresight approach by Aaron Martin, Boukje Kistemaker, Beth Allen, Bryan Jones

“…The mechanisms through which climate change shapes human mobility are complex, however, and gaps in data and knowledge persist. …”
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The role of air pollution in epilepsy: a better understanding is needed by Prem Jareonsettasin, John S. Ji, Xiaowen Zhou, Ding Ding, Josemir W. Sander, on behalf of the SdHIELD (Social determinants of Health In EpiLeptic Disorders) Research Group

“…Evidence is accumulating on the effects of air pollution on the brain, especially in stroke and neurodegenerative disorders; however, the specific impact on epilepsy remains underresearched, potentially due to the complexities of studying this condition. The present narrative review addresses a critical knowledge gap by exploring: 1) the role of air pollution in epilepsy epidemiology; 2) the biological mechanisms of air pollution in the brain in the context of epilepsy; and 3) how air pollution affects the management of people living with epilepsy. …”
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A practical framework for appropriate implementation and review of artificial intelligence (FAIR-AI) in healthcare by Brian J. Wells, Hieu M. Nguyen, Andrew McWilliams, Matt Pallini, Amy Bovi, Andrew Kuzma, Justin Kramer, Shih-Hsiung Chou, Timothy Hetherington, Patricia Corn, Yhenneko J. Taylor, Audrey Cuison, Mary Gagen, McKenzie Isreal, FAIR-AI Consortium

“…The rapid proliferation, growing complexity, ethical considerations, and rising demand for these tools require timely and efficient processes for rigorous evaluation and ongoing monitoring. …”
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Urban gentrification and infectious diseases: an interdisciplinary narrative review by Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius

“… Urban gentrification, the transformation of neighbourhoods by influx of new residential groups, leading to displacement of lowerincome communities, is a complex, multifaceted process with significant but generally unexplored public health implications. …”
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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

“…Despite recent progress, research on integrating GenAI and FMs into UDT frameworks remains scant, leaving gaps in our ability to capture complex urban flows and multimodal dynamics essential to achieving environmental sustainability goals. …”
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An empirical study of the naïve REINFORCE algorithm for predictive maintenance by Rajesh Siraskar, Satish Kumar, Shruti Patil, Arunkumar Bongale, Ketan Kotecha, Ambarish Kulkarni

“…Aimed at practitioners unfamiliar with complex RL tuning, we undertake an empirical study to understand untuned RL algorithms for generating optimal tool replacement policies for milling machines. …”
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A novel reactivity descriptor for MN4 molecular catalysts for the oxidation of 2-mercaptoethanol and of thioglycolic acid: The Electrochemical Hardness by Laura Scarpetta-Pizo, Ricardo Venegas, Ingrid Ponce, José H. Zagal

“…The descriptor ΔE°’cat. is the gap in potential between the E°Fe(III)/(II) and E°Fe(II)/(I) redox processes for each FeN4 catalyst. …”
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Ensemble Machine Learning Model Prediction and Metaheuristic Optimisation of Oil Spills Using Organic Absorbents: Supporting Sustainable Maritime by Le Quang Dung, Pham Duc, Bui Thi Anh Em, Nguyen Lan Huong, Nguyen Phuoc Quy Phong, Dang Thanh Nam

“…Combining metaheuristics with machine learning ensures accuracy and practical results, tackling the complexity of oil spill control. By concentrating on organic absorbents, the study fits with worldwide sustainability initiatives and provides a useful foundation for actual implementation.…”
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Multi-Layered Security Assessment in mHealth Environments: Case Study on Server, Mobile and Wearable Components in the PHGL-COVID Platform by Edi Marian Timofte, Mihai Dimian, Serghei Mangul, Alin Dan Potorac, Ovidiu Gherman, Doru Balan, Marcel Pușcașu

“…The growing use of mobile health (mHealth) technologies adds complexity and risk to the healthcare environment. This paper presents a multi-layered cybersecurity assessment of an in-house mHealth platform (PHGL-COVID), comprising a Docker-based server infrastructure, a Samsung Galaxy A55 smartphone, and a Galaxy Watch 7 wearable. …”
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UNet-Based End-to-End Anomaly Detection With Computational Hyperspectral Imaging by Weiming Shi, Junren Wen, Yipeng Chen, Yu Shao, Haiqi Gao, Xuehui Wang, Chenying Yang

“…This system employs a UNet-based end-to-end neural network that can adapt to various scene complexities without the need for retraining and further fine-tuning, specifically designed to extract features from the ELI with computational hyperspectral imaging. …”
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User-Perceived Quality and Functional Suitability of Representations of DEMO’s Process and Fact Models: Conclusions From a Family of Three Studies by Dulce Pacheco, David Aveiro, Duarte Pinto, Vitor Freitas

“…This paper addresses this gap by assessing user perception of both standard and newly proposed DEMO representations. …”
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