Efficient Sleep, Enhanced Attention: Exploring the Interplay With RBC-Inflammation Mechanisms in Hypoxic High-Altitude Areas by Shi CY, Xue XJ, Li ZF, Huang XY, Su R, Wang NN, Zhu JG, Li H, Ma HL, Liu M, Zhang DL

“…Participants underwent an attention network test with concurrent electroencephalography to assess attentional function. …”
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Characterization of private mutations in the spike protein of SARS-CoV-2 correlates with viral prevalence by Shuo Wang, Ziyang Hao, Yuhan Ding, Heng Rong, Shuo Ning, Qiao Qiao, Xiaojuan Zhu, Tao Wu, Kangchen Zhao, Liguo Zhu, Jingxin Li, Yiyue Ge, Lunbiao Cui

“…Methods Genomic information from the SARS-CoV-2 network surveillance laboratories in Jiangsu Province in 2023 was collected. …”
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Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma by Can Xu, Jin Yang, Huan Xiong, Xiaoteng Cui, Yuhao Zhang, Mingjun Gao, Lei He, Qiuyue Fang, Changxi Han, Wei Liu, Yangyang Wang, Jin Zhang, Ying Yuan, Zhaomu Zeng, Ruxiang Xu

“…PMTRG-related mRNA interactions and protein–protein interaction networks were associated with the immune activity of GBM. …”
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Diversity and functional roles of endophytic and rhizospheric microorganisms in Ophioglossum vulgatum L.: implications for bioactive compound synthesis by Xian-Nv Long, Xian-Nv Long, Xian-Nv Long, Xing-Kai Zhang, Yue Wu, Shu-Shuang Tang, Tai-Xiong Zheng, Di Chen, Guan-Hua Cao, Guan-Hua Cao, Guan-Hua Cao, Xu-Hong Zhou, Sen He, Sen He, Sen He

“…This study systematically characterized the endophytic and rhizospheric community structure, taxonomic diversity, and symbiotic networks within distinct compartments of O. vulgatum, while evaluating their potential associations with the accumulation of pharmacologically active metabolites.MethodsEndophytic and rhizospheric community profiling was conducted via Illumina sequencing, while bioactive compounds were identified using UPLC-ESI-MS/MS.ResultsRoots and leaves harbored beneficial bacteria (e.g., Methylobacterium, Streptomyces, Sphingomonas, and Flavobacterium). …”
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Advancements in understanding emission characteristics, data-driven olfactory-chemical measurements, and health impacts of the emerging odor pollution by Xinyuan Xu, Haixin Gu, Zihao Zhang, Yantong Liu, Lingling Zhang, Junfeng Wang, Mindong Chen, Yu Huang, Junji Cao, Shun-cheng Lee, Haiwei Li, Xinlei Ge

“…Odor pollution presents a multi-scale challenge to global environmental governance, with significant gaps in measurement reliability, temporal mismatches between emission patterns and regulatory standards, and acknowledgment of the undervaluation of its associated health risks. …”
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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

“…Additionally, high-fat, high-glucose combined with high-fat cell models were successfully produced. The expression patterns of TNFRSF1A and SERPINB2 were verified in patient blood and our cellular model. …”
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A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques by Ya-Li Zhang, Yi-Cheng Qiao, Yun-Chao Ji, Hong-Di Huang, Long Zhang, Jian-Xiong Ruan, Chen-Yao Li, Hui-Heng Xie, Bao-Lin Zhang, Qi Zhou, Sha-Sha Yue, Xiao-Mei Yu, Ming-Hao Qiu, Chuan-Kai Yu, Si-Chu Wu, Yu-Fang Zhou, Yan-Ling Li, Hong-Mei Zhu, Shu-Zhen Dong, Kang Huang, Yun Wang, Qiong Wang, Yi-Jiang Li, Ya Xie, Hui-Ling Chen, Long-Bao Lv, Shu Liu, Yong-Gang Yao, Chun Wang, Ning Liu, Jian-Hong Wang

“…Enhanced structural and functional connectivity was observed. Network-based statistics highlighted increased functional connectivity primarily between the frontal and parietal lobes. …”
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High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…To maximise efficiency, trial data were linked to the Paediatric Intensive Care Audit Network data, Hospital Episode Statistics and national death registrations (via NHS Digital). …”
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Representation of the perception of effective factors on the implementation of Eric Cheng's knowledge management model in secondary schools of West Azarbaijan province by parivash mohammadi gheshlagh

“…There are different patterns and models for knowledge management, but it should be noted that each organization may have its own needs and should implement the knowledge management system based on its own conditions. …”
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大學教師學術發表影響力之影響因素 Factors Influencing Publication Impact of Faculty by 郭玲玲 Ling-Ling Kueh, 許清芳 Ching-Fan Sheu

“…These metrics are quantifiable measures that enable a comparative evaluation of scholars’ impact and standing within their respective academic fields (Ruscio et al., 2012). …”
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Integrating Palliative Care and Heart Failure: the PalliatHeartSynthesis realist synthesis by Tracey McConnell, Carolyn Blair, Geoff Wong, Claire Duddy, Clare Howie, Loreena Hill, Joanne Reid

“…Integrated palliative and HF care aims to achieve continuity of care by integrating administrative, organisational, and clinical services that make up the patients care network. However, two decades have passed since the first publication on the benefits of PC for patients with HF. …”
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Global divergence in plant and mycorrhizal fungal diversity hotspots by Laura G. van Galen, Justin D. Stewart, Clara Qin, Adriana Corrales, Bethan F. Manley, E. Toby Kiers, Thomas W. Crowther, Michael E. Van Nuland

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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Exploring Generative Pre-Trained Transformer-4-Vision for Nystagmus Classification: Development and Validation of a Pupil-Tracking Process by Masao Noda, Ryota Koshu, Reiko Tsunoda, Hirofumi Ogihara, Tomohiko Kamo, Makoto Ito, Hiroaki Fushiki

“…Recently, deep learning techniques have been used to automate nystagmus classification using convolutional and recurrent neural networks. These networks can accurately classify nystagmus patterns using video data. …”
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LSTM and TCN application for airport surface distress detection by Ludek Cicmanec, Adam Kubica, Jiri Maslan

“…Using experimental measurements taken on a test road section, we tested the smartphone accelerometers to recognize and categorize selected distress patterns. In our work, we investigated the capacity of neural networks with a Long Short-Term Memory (LSTM) layer with normalized data weighted and not weighted, bidirectional LSTM, and Temporal Convolutional Networks (TCNs). …”
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Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation by Lalitha Krishnasamy, Siva C, Rajesh Kumar Dhanaraj, Mahmoud Ahmad Al-Khasawneh, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

“…The better performance demonstrates that RL- BiLSTM with ASBO is well-suited to predict congestion patterns in road networks.…”
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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies by MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin

“…We analyze and synthesize the key DL architectures, such as recurrent neural networks (RNN), long short-term memory (LSTM), convolutional neural networks (CNN), and hybrid models, to evaluate their performance in predicting stock prices, volatility, and market trends. …”
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Asymmetric representation of symmetric semantic information in the human brain by Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida

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Performance Analyses of the Radio Orbital Angular Momentum Steering Technique Based on Ka-Band Antenna by Mingtuan Lin, Yue Gao, Peiguo Liu, Zhiqing Guo

“…The misalignment in the orbital angular momentum- (OAM-) based system would distort the radiation patterns of twisted beams carrying OAM, consequently making the OAM-based communication infeasible. …”
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Advanced Machine Learning Techniques for Energy Consumption Analysis and Optimization at UBC Campus: Correlations with Meteorological Variables by Amir Shahcheraghian, Adrian Ilinca

“…Among the regression models evaluated, deep neural networks are found to excel in capturing complex patterns and achieve high predictive accuracy. …”
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