Association of Serum Ferritin Levels With Obstructive Sleep Apnea in Overweight/Obese US Populations: A Population-Based Study From the NHANES by Zhang Y, Zhou P, Xu C, Su H, Li R, Sun L, Yang Y

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Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Surve... by Zhou Y, Xue F

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Bidirectional causal associations between frailty measures and sleep disturbances: a two-sample Mendelian randomization study by Che L, Zang H, Bi Y, Wen B, Xu L

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Instability mechanism of composite structure involved coal pillar and key strata induced by multi-face mining by He Ren, Lianpeng Dai, Yishan Pan, Aiwen Wang, Yonghui Xiao

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Causal Effects of Sleep Traits on Angina Pectoris: Mediation by Cardiovascular Risk Factors by Zeng C, Ke Y, Li H, Zhang C, Chen J, Chen M

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Spatial identification of regions exposed to multi-hazards at the pan-European level by T.-E. Antofie, T.-E. Antofie, S. Luoni, A. Tilloy, A. Sibilia, S. Salari, G. Eklund, D. Rodomonti, C. Bountzouklis, C. Corbane

“…Our results suggest that 21.4 % of European LAUs are exposed to multiple natural hazards, affecting around 87 million people (18.8 % of the European population). …”
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Conflicts and Political Instability in Sudan: A Re-visit Discourse by Efe Ann Ijoyah

“… The research study evaluated the nature and character of the Darfur crisis of Sudan. …”
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THE AFRICAN UNION AND CONFLICT MANAGEMENT IN AFRICA: A STUDY OF THE DARFUR CRISIS by Agaba Halidu

“…The wanton destructive nature of the crisis necessitated the intervention of the international community. …”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…Abstract Accurate and precise identification of cholelithiasis is essential for saving the lives of millions of people worldwide. Although several computer-aided cholelithiasis diagnosis approaches have been introduced in the literature, their use is limited because Convolutional Neural Network (CNN) models are black box in nature. …”
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Examining the multidimensional impact on soft drink packaging preferences through the unified model of aesthetics by Sinong Ding, Mohd Faiz Yahaya, Ahmad Rizal Abdul Rahman

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Bridging incremental to transformative hazard management strategies on the Tule River Indian Reservation by Natalie Herbert, Caroline Beckman, Kerri Vera, Eric Coles, Thomas Kim, Seung-Hyun Cho, Gabrielle Wong-Parodi

“…Using a grounded theory approach to analyze practitioner interviews, our article makes two major contributions. First, we identify a conceptual framework by which practitioners connect people to each other and to place, from place to compounding hazards, and from vulnerabilities to hazard management strategies. …”
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A Hot-Area-Based Selfish Routing Protocol for Mobile Social Networks by Haigang Gong, Xiaomin Wang

“…In the real world, most people are selfish and nodes attached to people behave selfishly too. …”
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Knowledge as cause and tool for resistance against large scale mining: heuristic cases in Ecuador by Cristina Espinosa

“…Opponents to large scale mining projects use knowledge in their efforts to influence political decisions regarding natural resources, territories and people. Not every kind of knowledge is recognized as equally legitimate or is evenly distributed among participants in the course of these struggles. …”
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Using low-cost sensors to assess common air pollution sources across multiple residences by Catrin J. Rathbone, Dimitrios Bousiotis, Owain G. Rose, Francis D. Pope

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A Football Club's Strategic Performance Management by L.C. Panescu, M. Dragomir

“…This study's context and content greatly advance our knowledge of the football industry and offer a thorough and all-encompassing set of contributions to the field of business academia. The knowledge acquired on a topic that has naturally shown to have a significant impact on people inherently adds something useful and beneficial to society.…”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

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Quantitative attribution of 2016 extreme arctic warmth: comparison between late winter and early spring by Junjie Zhu, Ke Fan, Shengping He, Tuantuan Zhang, Yi Deng, Song Yang, Deliang Chen, Kaiqiang Deng, Wei Yu, Baoqiang Tian, Hoffman H N Cheung

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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

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Modeling the Saddle-like GeV–TeV Spectrum of HESS J1809–193: Gamma Rays Arising from Reverse-shocked Pulsar Wind Nebula? by Jiaxu Sun, Yang Chen, Yiwei Bao, Xiao Zhang, Xin Zhou

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Epidemiology and Ecology of Toscana Virus Infection and Its Global Risk Distribution by Xue-Geng Hong, Mei-Qi Zhang, Fang Tang, Si-Hui Song, Jia-Yi Wang, Zhen-Yu Hu, Li-Ming Liu, Xiao-Ai Zhang, Yi Sun, Li-Qun Fang, Wei Liu

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