Sommeil et course au large en solitaire : comportements des coureurs et étude de faisabilité d’un « agenda interactif de sommeil » by Denis Theunynck, Rémy Hurdiel, Thierry Pezé, Xavier Estruch, Gilles Bui-Xuân

“…It then follows one of the skippers for a one-hundred-day non-stop solo race around the world.Based on these observations, it was proposed to one skipper that he test an interactive “sleep” diary so that he could learn how to manage his periods of sleep in an optimal way during a race.This study shows that the subjects are aware of the importance of managing their periods of rest, but use few sleep preparation and management strategies before and during their race. …”
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Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network by Zhiqi Shen, Kaiquan Cai, Quan Fang, Xiaoyan Luo

“…Experimental results on real-world flight data demonstrate that our method can achieve better prediction performance than other state-of-the-art comparison methods, and the advantages of the proposed method are particularly prominent in modeling the complicated transfer pattern of air traffic and inferring nonrecurrent flow patterns.…”
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DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction by Kaixin Chen, Jiaxin Chen, Mengqiu Xu, Ming Wu, Chuang Zhang

“…The effectiveness of DRAF-Net was validated on two real-world datasets comprising observations and predictions from Chinese meteorological stations. …”
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Evaluating Innovation Efficiency in EU Countries: the DEA Approach

“…The data were processed from databases of the World Bank. First, the development and comparative analysis of input variables (government expenditure on education as a percentage of gross domestic product, research & development expenditure as a percentage of gross domestic product, researchers in research & development per million people) and output variables (patent applications, high-technology exports as a percentage of manufactured exports and scientific and technical journal articles) was performed. …”
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Expanded Use of Vorasidenib in Non-Enhancing Recurrent CNS WHO Grade 3 Oligodendroglioma by Alexander S. Himstead, Jefferson W. Chen, Eleanor Chu, Mari A. Perez-Rosendahl, Michelle Zheng, Sherin Mathew, Carlen A. Yuen

“…<b>Background/Objectives</b>: Anaplastic oligodendrogliomas (AOs) are central nervous system (CNS) World Health Organization (WHO) grade 3 gliomas characterized by isocitrate dehydrogenase (IDH) mutation (m)IDH and 1p/19q codeletion. …”
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Formulation of a Ready-to-Cook Soup Mix Using Microencapsulated Protein Hydrolysate Obtained from Pink Perch By-Product by Asha Kumari, Nutan Kaushik, Rasa Slizyte, Khushboo .

“…In fast-growing world, people have not enough time for the preparation of food and they have started depending on fast foods. …”
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Challenges and insights of transferring animal maze studies principles to human spatial learning research by Piruza Manukyan, Elizaveta Romanova, Alexander Latanov, Pavel Shlepnev, Anastasia Sharapkova, Naida Garabova, Vladimir Kasatkin, Vera Tolchennikova

“…However, these experiments frequently rely on simplified environments and tasks, which may not accurately reflect the complexity of real-world situations. Our pilot study aims to transfer a multi-alternative maze with a complex task structure, previously demonstrated to be useful in studying animal cognition, to studying human spatial cognition. …”
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Effects of Sports on Social and Cultural Transformations by Violeta Šiljak, Saša Vajić, Goran Zbiljić

“…Through examples from different parts of the world, the complex relationship between sport and life and how it shapes and empowers individuals and communities is looked at.…”
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Oral English Development of EFL Learners from the Perspective of Complexity Dynamic Theory by Qiang Dou, Guohua Li, Yuan Tang

“…With the development of economic globalization and cultural integration, the learning of a second language has become increasingly important for economic, political, and cultural exchanges in the world today. Complex dynamic system theory is an important research theory of foreign language learning methods for nonnative speakers. …”
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Decoding vascular aging: implications for atherosclerosis progression and clinical intervention by Silumbwe Ceaser Wankumbu, Xiao-Man Ji, Ming Xu

“…Age-related pathologies, particularly cardiovascular disorders, pose a significant global health concern. The World Health Organization (WHO) predicts an increase in advanced mortality by 2030 unless critical interventions are implemented. …”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…The enhanced performance and robustness of our method underscore its potential for broader applicability in real-world scenarios.…”
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Masking is good, but conforming is better: The consequences of masking non-conformity within the college classroom. by Jessica Sullivan, Corinne Moss-Racusin, Kengthsagn Louis

“…Study 3 used correlational and qualitative methods to establish the real-world impact of mask conformity in a diverse sample of college students. …”
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Information Flow between Global Equities and Cryptocurrencies: A VMD-Based Entropy Evaluating Shocks from COVID-19 Pandemic by Emmanuel Asafo-Adjei, Peterson Owusu Junior, Anokye M. Adam

“…The world has witnessed the adverse impact of the COVID-19 pandemic. …”
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Internet of things enabled smart agriculture: Current status, latest advancements, challenges and countermeasures by Navod Neranjan Thilakarathne, Muhammad Saifullah Abu Bakar, Pg Emeroylariffion Abas, Hayati Yassin

“…Owing to the ever-increasing world population, estimated at 7.9 billion in 2022, feeding this number of people has become a concern due to the current rate of agricultural food production subjected to various reasons. …”
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Short-Term Optimal Scheduling Method of Cascade Hydropower Stations Based on Segmented Load Construction Strategy by LI Chonghao, LI Shushan, TANG Hongbing, LIU Huan, MA Xiangyu, LIAO Shengli

“…With the rapid development of China's economy,electricity demand has increased.As the largest clean energy in China,hydropower has been put into large-scale and centralized production,and the most complex large-scale hydropower system in the world is formed.However,short-term hydropower optimal scheduling faces the serious challenge of the curse of dimensionality due to massive cascade hydropower stations,numerous hydropower constraints,and time-sensitive scheduling requirements.Therefore,this paper proposes a short-term optimal scheduling method for cascade hydropower stations based on a segmented load construction strategy.First,the selection rules of the hydropower stations to be regulated are formulated from the perspective of the regulation performance,location,and task of the cascade hydropower stations.Then,a method is given to divide the complex original load into two sub-load processes,namely the segmented load process with time reduction scale and the residual load process with frequent fluctuations.Finally,the adjustment method is given,and the particle swarm algorithm is used for traversal and optimization at different stages,so as to find the load division process when the target is optimal.By taking seven cascade hydropower stations in a certain river basin in southwest China as research objects,a mature particle swarm algorithm is used to simulate the typical day during the flood and dry periods.The results show that the segmented load construction strategy proposed in this paper can effectively reduce the solution complexity,and the appropriate number of segments can improve the solution efficiency while ensuring the solution quality.In addition,this method greatly reduces the output fluctuation of auxiliary hydropower stations and helps to reduce the difficulty of scheduling and unit loss.Therefore,the method proposed in this paper can provide a reference for solving the short-term scheduling of large-scale cascade hydropower stations and is of good practical value.…”
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Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

“…In the case of PM2.5 predictions in Yining and Beijing, experimental results show that the proposed model achieved the best performance in terms of RMSE, MAE, and R2 This indicates its excellent prediction accuracy and generalization capability, Thus proving its effectiveness in predicting PM2.5 concentration in the real world.…”
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Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Experimental results on two real‐world wind speed datasets demonstrate the best performance of the proposed MTPE‐BLS model compared to that of others. …”
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"I'll take them another day": A qualitative study exploring the socio-behavioral complexities of childhood vaccination in urban poor settlements. by Judy Gichuki, Ben Ngoye, Francis Wafula

“…Despite improvement over recent decades, childhood vaccination uptake remains a concern across countries. The World Health Organization observed that over 25 million children missed out on one or more vaccines in 2021, with urban poor and other marginalized groups being the most affected. …”
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The dependency structure of international commodity and stock markets after the Russia-Ukraine war. by Cheng Zhang, Shuo Liu, Mimi Qin, Bin Gao

“…In recent years, the international community has witnessed many crisis events, and the Russia-Ukraine war, which broke out on 24th February 2022, has increased international policy uncertainty and impacted the current world commodity and financial markets. Thus, we try to capture how the Russia-Ukraine war has affected the correlation structure of international commodity and stock markets. …”
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A ‘training of trainers’ programme for operational research: increasing capacity remotely by Angela Willemsen, Eskinder Wolka, Yibeltal Assefa, Simon Reid

“…Background Operational research (OR) is a process to improve health system capacity by evaluating interventions to improve health delivery and outcomes. The World Health Organization (WHO) Structured Operational Research Training Initiative (SORT-IT) programme promotes how OR contributes to improved health care delivery and health outcomes. …”
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