Exploring the impact of coffee consumption and caffeine intake on cognitive performance in older adults: a comprehensive analysis using NHANES data and gene correlation analysis by Jinrui Li, Kai Yu, Fan Bu, Peng Li, Lei Hao

“…To establish causal relationships between coffee consumption, caffeine intake, ALP levels, and cognitive performance, we employed methodologies such as Mendelian randomization, protein quantitative trait locus analysis, and protein-protein interaction networks. Results The NHANES study revealed significant findings regarding coffee consumption and cognitive performance. …”
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ANATOMICAL AND GENETIC PREDISPOSITION FOR CARIES IN PERMANENT DENTITION. REVIEW by K.A. Udaltsova, E.O. Pisarenko

“…Another study by multi-dimensional prioritization of dental caries candidate genes and its enriched dense network modules provided insights into the molecular mechanisms underlying dental caries. …”
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Experimental study of rock permeability in different fluid media: a case study of two clay-free sandstones by Xin Yang, Xin Yang, Xin Yang, Bo Kang, Bin Xu, Hehua Wang, Hehua Wang, Chunxiang Zhou, Kai Jiang, Xingfu Li

“…Permeability is a fundamental property of porous media that governs the ability of a pore network to facilitate fluid flow through its pore spaces. …”
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Satellite microglia: marker of traumatic brain injury and regulator of neuronal excitability by Alicia B. Feichtenbiner, Karinn Sytsma, Ryan P. O’Boyle, Rhonda Mittenzwei, Heather Maioli, Kathryn P. Scherpelz, Daniel D. Child, Ning Li, Jeanelle Ariza Torres, Lisa Keene, Amanda Kirkland, Kimberly Howard, Caitlin Latimer, C. Dirk Keene, Christopher Ransom, Amber L. Nolan

“…Taking our investigation into a mouse model, we identified that these satellite microglia suppress neuronal excitability in control conditions but lose this ability with chronic traumatic brain injury. At the same time, network hyperexcitability is present in both mouse and human orbitofrontal cortex. …”
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Comprehensive objective function- guided decomposition-prediction co-optimization framework: Enhanced Transformer model for high-accuracy forecasting of non-stationary runoff by Xiaoqi Guo, Xuehua Zhao, Xueping Zhu, Bowen Zhu, Qiucen Guo, Xixi Wu, Huifang Wang, Jiatong An

“…The framework addresses the nonlinearity and non-stationarity of runoff data by first employing the Walrus Optimizer (WO) to fine-tune SVMD parameters for effective signal decomposition, then leveraging a Bidirectional GRU and Squeeze-and-Excitation Network to enhance the Transformer’s ability to capture temporal dependencies and feature interactions. …”
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Enhanced prediction of corrosion rates of pipeline steels using simulated annealing-optimized ANFIS models by Ali Hussein Khalaf, Bing Lin, Ahmed N. Abdalla, Zhongzhi Han, Ying Xiao, Junlei Tang

“…Traditional models often struggle to account for the complex, non-linear interactions between environmental factors and material properties. …”
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Diet-induced over-expression of flightless-I protein and its relation to flightlessness in Mediterranean fruit fly, Ceratitis capitata. by Il Kyu Cho, Chiou Ling Chang, Qing X Li

“…All proteins were subjected to Ingenuity Pathway Analysis (IPA) to create 13 biological networks and 17 pathways of interacting protein clusters in human ortholog. …”
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Semantic-enhanced panoptic scene graph generation through hybrid and axial attentions by Xinhe Kuang, Yuxin Che, Huiyan Han, Yimin Liu

“…Abstract The generation of panoramic scene graphs represents a cutting-edge challenge in image scene understanding, necessitating sophisticated predictions of both intra-object relationships and interactions between objects and their backgrounds. This complexity tests the limits of current predictive models' ability to discern nuanced relationships within images. …”
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Neutrophil-Lymphocyte Ratio in Predicting Infective Endocarditis: A Case-Control Retrospective Study by Ying Chen, Liang-jun Ye, Yue Wu, Bing-zheng Shen, Fan Zhang, Qiang Qu, Jian Qu

“…The inflammation mechanism of IE is a complex network including interactions of inflammatory cytokines and other components of host response. …”
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A CNN deep learning approach to scour depth estimation around complex bridge piers in steady flow environments by Ngoc Thi Huynh, Anh Thu Thi Phan, Tan Tai Trieu, Ho-Hong-Duy Nguyen, Thanh Nhan Nguyen

“…This study presents a one-dimensional convolutional neural network (1D CNN) and long short-term memory (LSTM) deep learning models for predicting the maximum scour depth around CBP under steady current conditions in a clear-water environment. …”
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Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

“…A Gated Recurrent Unit (GRU) neural network is developed to integrate multi-region temperature data with electrical parameters, capturing spatial–temporal thermal–electrical interactions unique to retired batteries. …”
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The Process of Smartening Road Traffic Management Systems Using Open-Source Solutions: Simulating Traffic Flow, Volume, Speed and Its Impact on Road Safety in a Digital Twin Platfo... by R. Saki, A. Toomanian, N. Neysani Samany, A. Rajabifard

“…By creating virtual representations of real-world traffic systems, digital twins enable the integration of real-time data from a network of smart sensors. This integration allows for the simulation of traffic flow under various conditions, incorporating factors such as vehicle volume, speed, and driver behavior. …”
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Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics by Shuangsang Fang, Mengyang Xu, Lei Cao, Xiaobin Liu, Marija Bezulj, Liwei Tan, Zhiyuan Yuan, Yao Li, Tianyi Xia, Longyu Guo, Vladimir Kovacevic, Junhou Hui, Lidong Guo, Chao Liu, Mengnan Cheng, Li’ang Lin, Zhenbin Wen, Bojana Josic, Nikola Milicevic, Ping Qiu, Qin Lu, Yumei Li, Leying Wang, Luni Hu, Chao Zhang, Qiang Kang, Fengzhen Chen, Ziqing Deng, Junhua Li, Mei Li, Shengkang Li, Yi Zhao, Guangyi Fan, Yong Zhang, Ao Chen, Yuxiang Li, Xun Xu

“…Stereopy showcases three representative applications: investigating specific cell communities and genes responsible for pathological changes, detecting spatiotemporal gene patterns by considering spatial and temporal features, and inferring three-dimensional niche-based cell-gene interaction network that bridges intercellular communications and intracellular regulations. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…This ability is attributed to the unique structure of LSTM and its gate mechanisms, which enable the network to filter out irrelevant information while retaining essential information. …”
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BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering by Md. Shalha Mucha Bhuyan, Eftekhar Hossain, Khaleda Akhter Sathi, Md. Azad Hossain, M. Ali Akber Dewan

“…To overcome this challenge, we proposed Multimodal CRoss-Attention Network (<monospace>MCRAN</monospace>), a novel framework that leverages pretrained transformer architectures to encode the visual and textual information. …”
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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

“…By fusing information from both domains, the deep neural network significantly improves prediction accuracy and reliability. …”
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Role of the APEX family in hepatocellular carcinoma and its potential as a biomarker by TANG Xixian, ZHAO Nan, CAO Dedong

“…Methods After expression data of HCC and normal liver tissues from public databases (TCGA and TNM plot) were collected, the expression patterns, functional networks, and potential biological pathways of the APEX family in HCC were investigated through differential expression analysis, construction of protein-protein interaction networks(PPI), and Gene Set Enrichment Analysis (GSEA). …”
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Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events by P. Wang, Y. Zhao, J. Wang, J. Wang, V.-M. Kerminen, J. Jiang, C. Li

“…However, existing theoretical approaches for predicting particle charge states suffer from inaccuracies due to simplifying assumptions; hence their ability to infer <span class="inline-formula"><i>F</i>_IIN</span> is sometimes limited. …”
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THE DEVELOPMENT OF PROFESSIONAL-PEDAGOGICAL COMMUNICATION COMPETENCE IN DOCTORS OF PHILOSOPHY IN PROFESSIONAL EDUCATION: CONCEPTUAL APPROACHES, CONTENT, AND TECHNOLOGICAL TOOLS by Nataliia Volkova, Olha Lebid, Oleh Lavnikov

“…It presupposes self-awareness as a communicative personality, under- standing of ethical standards, and the ability to interact effectively via verbal, non-verbal, and computer- mediated communication. …”
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LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion by Zhuna Wu, Qiuya Lin, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Qirong Shi, Yumin Ke

“…Different Inflammation- and immunity-related genes (DIIRGs) were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Protein-protein interaction (PPI) networks were utilized to explore the connections between various DIIRGs. …”
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