Integrating gonadal RNA-seq and small RNA-seq to analyze mRNA and miRNA changes in medaka sex differentiation by Xing Lin, Yuanli Zhao, Yifan Bai, Kaifeng Meng, Yuanyuan Chen, Meidi Hu, Fei Liu, Daji Luo

“…Additionally, we integrated the RNA-seq and small RNA-seq data to construct comprehensive interaction networks and performed a detailed analysis of the temporal dynamics in gene and miRNA expression. …”
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Enhancing Railway Track Intervention Planning: Accounting for Component Interactions and Evolving Failure Risks by Hamed Mehranfar, Bryan T. Adey, Saviz Moghtadernejad, Claudia Fecarotti

“…An implementation of the methodology is conducted for a 25 km regional railway network in Switzerland. …”
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Efficient equivariant model for machine learning interatomic potentials by Ziduo Yang, Xian Wang, Yifan Li, Qiujie Lv, Calvin Yu-Chian Chen, Lei Shen

“…Here, we introduce an efficient equivariant graph neural network (E2GNN) that can enable accurate and efficient interatomic potential and force predictions for molecules and crystals. …”
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Optimal bus reassignment considering in-vehicle overcrowding by Zakir H. Farahmand, Konstantinos Gkiotsalitis, Karst T. Geurs

“…Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. …”
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Aspects of Healthcare Staffing With Specialists in Healthcare Organization and Public Health in Moscow by V. N. Tregubov, D. D. Shestakov

“…How many public health and healthcare organization professionals a health facility has on staff has a significant impact on the integration of all functional units, the ability to successfully address pressing issues, and the quality and safety of medical care.Purpose. The goal was to conduct a comparative analysis of staffing dynamics in health facilities with public health specialists in Moscow and Russia from 2017 to 2021.Materials and methods. …”
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Disturbance‐Aware On‐Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator by Jaehyeon Kang, Jongun Won, Narae Han, Sangjun Hong, Jee‐Eun Yang, Sangwook Kim, Sangbum Kim

“…Furthermore, to evaluate learning feasibility in large‐scale arrays, real‐time disturbance‐aware training simulations are conducted by mapping synaptic arrays to convolutional neural networks for the CIFAR‐10 dataset. …”
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Research on the Thrust Allocation Method for Straight-Line Sailing of Multiple AUVs in Tandem Connection by Jin Zhang, Shengfan Zhu, Shuai Kang

“…Third, to address the computational challenges of thrust allocation in large MATC systems, an offline model training method was introduced, combining the Harris Hawks Optimization (HHO) algorithm with a BP neural network. Simulations were conducted for MATC configurations with 5 and 30 AUV units. …”
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An Efficient Aerial Image Detection with Variable Receptive Fields by Wenbin Liu, Liangren Shi, Guocheng An

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Meta-analysis and in-silico functional characterization of the SNCA variant rs356220 in Parkinson’s disease by Shradha Menon, Naushad Rais

“…The TFBS analysis suggested that the C allele may influence multiple factors, while subsequent Pathway and Protein Network analyses identified proteins that enhance SNCA expression. …”
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From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty by Haobin Wen, Long Zhang, Jyoti K. Sinha

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Global Research Hotspots and Progress on Acrylamide: Visualization Analysis by Shaher Zyoud, Sa’ed H. Zyoud

“…Exploring prominent topics and the knowledge network related to the topic was conducted via VOSviewer version 1.6.20. …”
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Performance evaluation of cement modified asphalt rubber binder through optimizing aging indexes by Xiong Xu, Xiang Zhang, Jie Liu, Cheng Zhao

“…A series of chemical and rheological tests, including Fourier Transform Infrared (FTIR) Spectroscopy, Dynamic Shear Rheology (DSR), softening point, and penetration, were conducted. …”
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Advanced State-of-Health Estimation for Lithium-Ion Batteries Using Multi-Feature Fusion and KAN-LSTM Hybrid Model by Zhao Zhang, Runrun Zhang, Xin Liu, Chaolong Zhang, Gengzhi Sun, Yujie Zhou, Zhong Yang, Xuming Liu, Shi Chen, Xinyu Dong, Pengyu Jiang, Zhexuan Sun

“…This study introduces a novel SOH estimation method combining Kolmogorov–Arnold Networks (KAN) and Long Short-Term Memory (LSTM) networks. …”
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SwiftSession: A Novel Incremental and Adaptive Approach to Rapid Traffic Classification by Leveraging Local Features by Tieqi Xi, Qiuhua Zheng, Chuanhui Cheng, Ting Wu, Guojie Xie, Xuebiao Qian, Haochen Ye, Zhenyu Sun

“…Network traffic classification is crucial for effective security management. …”
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Synchronized Multi-Point UAV-Based Traffic Monitoring for Urban Infrastructure Decision Support by Igor Kabashkin, Alua Kulmurzina, Batyrlan Nadimov, Gulnar Tlepiyeva, Zura Sansyzbayeva, Timur Sultanov

“…This study presents a comprehensive methodology for urban traffic monitoring and infrastructure decision making, centered on synchronous, simultaneous aerial data collection through a distributed multi-point UAV deployment. Conducted in the GreenLine district of Astana, Kazakhstan, the research utilized a coordinated fleet of UAVs to capture real-time video footage at 30 critical observation points during peak traffic periods, enabling a network-wide view of traffic dynamics. …”
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Investigating mental defeat in individuals with chronic pain: Protocol for a longitudinal experience sampling study by Shyam Balasubramanian, Nicole K Y Tang, Sakari Lemola, Kristy Themelis, Swaran Preet Singh, Jenna L Gillett, Paige Karadag, Yu-Mei Li

“…Linear mixed models and Gaussian graphical models will be fit to the data to: (1) examine the within-person, day-to-day association of mental defeat with outcomes (ie, pain, physical/social activity, medication use and sleep), (2) examine the dynamic temporal and contemporaneous networks of mental defeat with all outcomes and the hypothesised mechanisms of outcomes (ie, perceived stress, mood, attention and self-compassion).Ethics and dissemination The current protocol has been approved by the Health Research Authority and West Midlands—Solihull Research Ethics Committee (Reference Number: 17/WM0053). …”
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Touching at a distance: the elaboration of communicative functions from the perspective of the interactants by Robin Héron, Stéphane Safin, Michael Baker, Zhuoming Zhang, Eric Lecolinet, Françoise Détienne

“…Given the varied roles of touch, with technology-mediated communication being a big part of our everyday lives, research has been interested in enabling and enhancing distant social interactions with mediated touch over networks. Due to the complexity of the sense of touch and technological limitations, multimodal devices have been developed and investigated. …”
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Mapping the intersection of HIV and Alzheimer’s disease: a bibliometric analysis of emerging research trends by Hao Zhang, ShuYou Yuan, HongXia Bao, WenJun Chen, Bo Cai, JunKai Sun, HaoGang Zhu, Wei Lu

“…Bibliometric analysis was conducted with VOSviewer, CiteSpace, and R software to examine publication trends, international collaboration, institutional contributions, journal dynamics, author networks, and thematic evolution.ResultsThe analysis reveals a 14.18% annual growth rate in publications, with the U.S. leading in productivity, followed by China, Germany, and Japan. …”
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The role of programmed cell death in renal cancer: a bibliometric perspective (1998–2024) by Liang Hong, Chun Zhao, Tingping Wu, Xiaorong Hu, Xueyao Li, Lu Li

“…After applying inclusion and exclusion criteria, we conducted co-citation, keyword, and cluster analyses with CiteSpace (v.6.3.R2) and VOSviewer (v.1.6.20) to identify major research fronts, collaboration networks, and thematic clusters. …”
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Hierarchical Reinforcement Learning with Automatic Curriculum Generation for Unmanned Combat Aerial Vehicle Tactical Decision-Making in Autonomous Air Combat by Yang Li, Wenhan Dong, Pin Zhang, Hengang Zhai, Guangqi Li

“…Furthermore, a novel automatic curriculum generation mechanism based on Wasserstein Generative Adversarial Networks (WGANs) is introduced to enhance training efficiency and adaptability to diverse initial combat conditions. …”
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