Exploration of adverse event profiles for cefotaxime: a disproportionality analysis using the FDA adverse event reporting system by Cheng Jiang, Jiancheng Qian, Yingyan Lu, Junxian Zheng

“…Furthermore, the differences in adverse event signals across subgroups underscore the necessity of developing targeted monitoring protocols. …”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…Artificial intelligence (AI) has demonstrated success across various industries; however, its adoption in aviation remains limited due to concerns regarding the interpretability of AI models, which often function as black box systems with opaque decision-making processes. …”
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Quantifying spatial gradients in coral reef benthic communities using multivariate dispersion by Alice K. Lawrence, Adel Heenan, Gareth J. Williams

“…Tropical coral reefs are dynamic, disturbance-driven ecosystems that are heterogeneous across space and time, partly owing to gradients in cross-scale human impacts and natural environmental factors. …”
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Research on operation optimization of heavy-haul combined trains in long and steep downhill sections based on reinforcement learning by WANG Jianhua, WANG Chunyi, ZENG Zhou, WANG Cong, WANG Qingyuan, YANG Hang

“…An air braking force prediction model was developed based on neural network learning focusing on the variation rules of air braking performance across different operating states, to incorporate differences in air braking characteristics across different trains and varied braking system states on same trains. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…Through comprehensive benchmarking across varied biological contexts, we demonstrate that the proposed approach significantly improves annotation accuracy and generalization across different scRNA-seq platforms, especially under conditions of reduced reference data. …”
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Nonlinear dynamics of self-sustaining waves in anisotropic media by Mostafa M. A. Khater, Suleman H. Alfalqi, Aleksander Vokhmintsev

“…These solutions experience meticulous validation via numerical convergence examination, demonstrating substantial consonance between rigorous and computational outcomes across various self-sustaining and periodic wave arrangements. …”
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A multi-scale evaluation of pack stock effects on subalpine meadow plant communities in the Sierra Nevada. by Steven R Lee, Eric L Berlow, Steven M Ostoja, Matthew L Brooks, Alexandre Génin, John R Matchett, Stephen C Hart

“…Meadows were sampled to account for inherent variability across multiple scales by: 1) controlling for among-meadow variability by using remotely sensed hydro-climatic and geospatial data to pair stock use meadows with similar non-stock (reference) sites, 2) accounting for within-meadow variation in the local hydrology using in-situ soil moisture readings, and 3) incorporating variation in stock use intensity by sampling across the entire available gradient of pack stock use. …”
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Natural convection in a square Cavity: Effects of Rayleigh and Prandtl numbers on heat transfer and flow patterns by Saleh A. Bawazeer, Mohammad S. Alsoufi

“…Higher Prandtl numbers lead to sharper velocity gradients and more localized thermal transport, while lower Prandtl numbers promote overall circulation. Stream function analysis tracks the strength and symmetry shifts of vortices across the parameter space. …”
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Reconfiguration of metabolic connectivity in ageing by Hamish A. Deery, Emma X. Liang, M. Navyaan Siddiqui, Gerard Murray, Katharina Voigt, Robert Di Paolo, Chris Moran, Gary F. Egan, Sharna D. Jamadar

“…Abstract Information transfer across the brain has a high energetic cost and requires efficient glucose metabolism. …”
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The glial regenerative response to central nervous system injury is enabled by pros-notch and pros-NFκB feedback. by Kentaro Kato, Manuel G Forero, Janine C Fenton, Alicia Hidalgo

“…Injury to the CNS induces proliferation of enwrapping glia, leading to axonal re-enwrapment and partial functional recovery. This glial regenerative response is found across species, and may reflect a common underlying genetic mechanism. …”
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Computational simulation study of the impact of isotropic GDL thermal conductivity on PEMFC characteristics by Mahmut Kaplan

“…The thermal conductivity as a transport property of the GDL affects heat transfer across the cell and the overall performance. In the current work, the impact of the isotropic GDL thermal conductivity ranging 1-100 W/mK at 0.4 and 0.6 V on the cell efficiency is studied computationally using ANSYS Fluent PEMFC module. …”
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Fluid and solute transport by cells and a model of systemic circulation. by Yufei Wu, Morgan A Benson, Sean X Sun

“…Active fluid circulation and solute transport are essential functions of living organisms, enabling the efficient delivery of oxygen and nutrients to various physiological compartments. …”
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Cluster-independent multiscale marker identification in single-cell RNA-seq data using localized marker detector (LMD) by Ruiqi Li, Rihao Qu, Fabio Parisi, Francesco Strino, Hainan Lam, Jay S. Stanley, Xiuyuan Cheng, Peggy Myung, Yuval Kluger

“…LMD constructs a cell-cell affinity graph, diffuses the gene expression value across the cell graph, and assigns a score to each gene based on its diffusion dynamics. …”
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A refined model of claudin-15 tight junction paracellular architecture by molecular dynamics simulations. by Giulio Alberini, Fabio Benfenati, Luca Maragliano

“…Tight-junctions between epithelial cells of biological barriers are specialized molecular structures that regulate the flux of solutes across the barrier, parallel to cell walls. The tight-junction backbone is made of strands of transmembrane proteins from the claudin family, but the molecular mechanism of its function is still not completely understood. …”
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A GIS-Based Study on Spatial Pattern, Accessibility and Equity of Urban Cultural Resources: A Case Study of Red Culture Resources in Shanghai by Shu-Qing Chen, Jian Zhang, Wen-Lei Luan, Xi Luo

“…It evaluates cultural service coverage across walking, cycling, and driving modes under varying travel durations (5–30 min). …”
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The impact of health on growth: from the perspective of economic structure evolution by Yujie Cui, Gordon Liu, Yao Yao

“…Methods By deriving from the Cobb–Douglas production function, this study constructs an empirical model to analyze the impact of health on economic growth, considering economic structure. …”
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Measuring and Characterizing the Human Nasal Cycle. by Roni Kahana-Zweig, Maya Geva-Sagiv, Aharon Weissbrod, Lavi Secundo, Nachum Soroker, Noam Sobel

“…The extent of obstruction alternates across nostrils with periodicity referred to as the nasal cycle. …”
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Measuring trust in artificial intelligence: validation of an established scale and its short form by Melanie J. McGrath, Oliver Lack, James Tisch, Andreas Duenser

“…An understanding of the nature and function of human trust in artificial intelligence (AI) is fundamental to the safe and effective integration of these technologies into organizational settings. …”
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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…This adaptation involves mixing samples while aiming to maintain the data's temporal structure and integrating target contributions into the loss function. Empirical studies show that EMixup improves the performance of time series models across various architectures (improving 23/24 forecasting cases and 12/24 classification cases). …”
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Research on the Sensitivity Enhancement Method of Inductive Conductivity Sensors Based on Impedance Matching by Yang Li, Rongxing Yu, Zhiqiang Liu, Yujie Gao, Chengxu Tang, Qiao Li, Chao Yuan

“…Furthermore, while the impedance matching improves sensitivity, it also introduces some nonlinear errors, which are evaluated using a performance function that balances sensitivity and linearity. The results demonstrate that impedance matching enhances the sensor’s measurement capability, making it more effective in practical applications where conductivity changes need to be accurately monitored across varying frequencies.…”
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