Developing a molecular diagnostic model for heatstroke-induced coagulopathy: a proteomics and metabolomics approach by Qingbo Zeng, Qingwei Lin, Longping He, Lincui Zhong, Ye Zhou, Xingping Deng, Nianqing Zhang, Qing Song, Qing Song, Jingchun Song, Jingchun Song

“…Significant differences were observed between the groups in temperature, heart rate, white blood cell count, platelet count, liver function, coagulation markers, APACHE II score, and GCS score. …”
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Failure Mode- and Time-Dependent Reliability Model of Tunnel Lining Structure Under Extremely High Ground Stress by Tao Peng, Dongxing Ren, Fanmin He, Binjia Li, Fei Wu, Shijie Xu

“…The plastic zone and the distribution of the surrounding rock stress field throughout the excavation process were simulated, elucidating the relationship between vault displacement and stress release rate. The time-varying reliability model is employed to assess lining behavior under extremely high ground stress and to establish the patterns governing its service life. …”
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Growth and Mortality Models of Mozambique Tilapia (Oreochromis mossambicus; Peters, 1852) Wildly Enter Inside the Fish Farming Ponds in Tarakan City, North Kalimantan by Gazali Salim, Mujiyanto Mujiyanto, Yayuk Sugianti, Suryanti Suryanti, Zahidah Zahidah, Daud Nawir, Sitti Hartinah, Nurjanah Nurjanah, Rose Dewi, Rama Iranda, Mochamad Candra Wirawan Arief, Masayu Rahmia Anwar Putri, Abdur Rahman, Agus Indarjo, Julian Ransangan, Ariel E San Jose, Rozi Rozi

“…There were complex mortality patterns, with males contributing to most total deaths. …”
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Clustering analysis of volatile organic compound biomarkers with tobacco exposure and the association with cardiovascular health outcomes in an observation study cohort by Juan Zhao, Haoyun Hong, Joseph Zhai, Remy Poudel, Sanjay Srivastava, Andrew C. Stokes, Pawel K. Lorkiewicz, Tian Jiang, Rose Marie Robertson, Aruni Bhatnagar, Jennifer L. Hall, Naomi M. Hamburg, Rachel J. Keith

“…After adjustment for age, sex, and race, Cluster 2 was associated with a higher heart rate (β=3.29; 95% CI: -0.26–6.84; p<0.05) compared to Cluster 1. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…Abstract Background Laryngeal squamous cell carcinoma (LSCC) is a common head and neck tumor with an increasing incidence rate and limited therapeutic efficacy in advanced stages. …”
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Paradox of Low CA-125 in Patients with Decompensated Congestive Heart Failure by Raquel López-Vilella, Borja Guerrero Cervera, Víctor Donoso Trenado, Julia Martínez-Solé, Sara Huélamo Montoro, Valero Soriano Alfonso, Franco Appiani, Luis Martínez Dolz, Luis Almenar-Bonet

“…Scheduled admissions, transfers from other hospitals, pulmonary congestion patterns, mixed patterns, and low output were the exclusion criteria. …”
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A Study on the Hydrodynamic Excitation Characteristics of Pump and Pipeline Systems Considering the Weakly Compressible Fluid During the Pump Start-Up Condition by Yonggang Lu, Mengjiao Min, Wei Song, Yun Zhao, Zhengwei Wang

“…In addition, the flow conditions at the pipe tee were analyzed, and the attenuation patterns of pressure waves at different frequencies within the pipe were also investigated. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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Radiocleavable rare-earth nanoactivators targeting over-expressed folate receptors induce mitochondrial dysfunction and remodel immune suppressive microenvironment in pancreatic ca... by Tanvi Gupta, Shang-Rung Wu, Li-Chan Chang, Forn-Chia Lin, Yan-Shen Shan, Chen-Sheng Yeh, Wen-Pin Su

“…Abstract Pancreatic cancer is a fatal cancer with poor prognosis and survival rate, often diagnosed usually in the advanced stage of disease. …”
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Learning place cells and remapping by decoding the cognitive map by Markus Borud Pettersen, Vemund Schøyen, Anders Malthe-Sørenssen, Mikkel E Lepperød

“…These cells exhibit marked tuning curves and rate changes when an animal’s environment is sufficiently manipulated, in a process known as remapping. …”
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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate modeling of long-range temporal patterns—by integrating wearable accelerometer and heart-rate streams with a convolutional neural network–LSTM (CNN-LSTM) architecture and optional attention modules. …”
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Premium intraocular lens adoption: Insights from a national health insurance analysis by Chi-Ying Huang, Christy Pu, Chiun-Ho Hou

“…Specifically, the adoption rate for premium IOLs was 35.2% in 2016, rising to 42.6% in 2020. …”
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TaER Expression Is Associated with Transpiration Efficiency Traits and Yield in Bread Wheat. by Jiacheng Zheng, Zhiyuan Yang, Pippa J Madgwick, Elizabete Carmo-Silva, Martin A J Parry, Yin-Gang Hu

“…Significant differences were also observed between the three groups varying for TaER expression for several transpiration efficiency (TE)- related traits, including stomatal density (SD), transpiration rate, photosynthetic rate (A), instant water use efficiency (WUEi) and carbon isotope discrimination (CID), and yield traits of biomass production plant-1 (BYPP) and grain yield plant-1 (GYPP). …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…The introduction of Software-Defined Networking (SDN) separated the control and data forwarding planes, but the data plane still requires a fully programmable packet scheduler that can adapt to different traffic patterns and offer high expressiveness at line rate. …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…In addition to the high infection rate, the high spread rate is due to the increased mobility of contemporary populations. …”
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Response of Water-Use Efficiency (WUE) in Alpine Grasslands to Hydrothermal and Radiative Factors Across Elevation Gradients by Ye Tian, Wan Zhang, Xiao Xu, Bingrong Zhou, Xiaoyun Cao, Bin Qiao

“…Moreover, contribution rate analysis showed an elevation-dependent shift in WUE control: evapotranspiration (ET) exerted a dominant influence at low elevations (contribution rate: −82.50%), while net primary productivity (NPP) became the primary driver at high elevations (contribution rate: 54.71%). …”
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