A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Then, according to the assessment results, based on the vibration attenuation model under railway traffic load effect and the superposition feature of multi-piers vibration sources under high-speed railway bridges, we developed a ground vibration attenuation prediction model of VL Z , which is characterized with multi-piers vibration sources and exactly applicable to the ground vibration prediction under the high-speed railway bridges. …”
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Compact 999.6 nm Actively Q-Switched Yb3+:LuAlO for Laser-Induced Breakdown Spectroscopy Laser by A. Rudenkov, V. Kisel, A. Yasukevich, K. Hovhannesyan, A. Petrosyan, N. Kuleshov

“…The reduction in the thermal conductivity of doped laser crystal in comparison with host materials is small in the case of ions with close atomic mass and ionic radii such as for Yb3+ and Lu3+. This feature makes LuAlO3 (LuAP) more promising host crystal for doping by Yb3+ ions in contrast to YAP especially for high output power laser systems. …”
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Analysis of the safe operation region of grid-connected converters under time-varying operating point conditions by Weijie Xie, Fan Xiao, Yuting Zheng, Guochen Kuang, Chunming Tu, Liu Long, Qi Guo

“…The operating points of the GCCs are closely related to several factors such as the volatility of new energy and the random switching of loads, therefore exhibit time-varying characteristics. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Using a large body of work, including 42 vertical wells, an extensive dataset was constructed and meticulously packed using processes such as feature selection and data manipulation. Eleven machine learning models were then developed using parameters typically available during hydraulic fracturing operations as input variables, including surface pressure, slurry flow rate, surface proppant concentration, tubing inside diameter, pressure gauge depth, gel load, proppant size, and specific gravity. …”
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Ultimate Buckling Limit State Assessments of Perforated Panels in Medium-Range Merchant Ships Based on Updated Classification Rules and Nonlinear Finite Element Analysis by Gitae Kim, Inhwan Cha, Gökhan Tansel Tayyar, Joonmo Choung

“…Merchant vessels often feature numerous perforations in their web frames. …”
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Urban Toponyms as Linguistic Markers of “Owning” the Space by Natalia Vasiljeva

“…Vernacular regions are loaded with not only territorial, but also social and emotional sense and relate to mental maps. …”
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Acceptability of Guided Symptom Entry and Asynchronous Clinical Communication Software Among Primary Care Staff: Qualitative Study by Riina Raudne, Taavi Tillmann

“…The software was reported to satisfy perceived feature needs for patient verification, privacy and data security, editable plain-language symptom summaries of symptoms, and integration with prewritten response templates (particularly for staff who were nonnative speakers). …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Additionally, it employs a Nonlinear Activation-Free feature extractor that effectively captures local and global image information. …”
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Carboxyethylsilanetriol-Functionalized Al-MIL-53-Supported Palladium Catalyst for Enhancing Suzuki–Miyaura Cross-Coupling Reaction by Yucang Liang, Xin Ning, Yanzhong Zhen

“…The structure, composition, morphology, pore feature, and stability were characterized by XRD, different spectroscopies, electron microscopy, N₂ physisorption, and thermogravimetric analysis. …”
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Study on pore structure and gas adsorption characteristics of coals with different burst liability by Zhao LI, Guanhua NI, Wei YANG, Yongzan WEN, Gang WANG, Zhen LIU, Zhenyang WANG

“…With the increase of mining depth, the features of high geopathic stress, low permeability and strong disturbance of coal seams gradually appear, and the form of underground disasters becomes more and more complicated, among which impact ground pressure and gas protrusion is the most important form of composite disaster manifestation. …”
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Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025 by Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele

“…Abstract Background Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related morbidity and mortality. …”
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Dual-responsive copper complex delivered by dissolvable microneedle promotes polymicrobial infection eradication and cutaneous wound healing by Sumanta Ghosh, Soumen Ghosh, Kelvin W.K. Yeung, Chenjie Xu, Jun Wu, Congyang Mao, Zemin Ling, Kou Okuro, Wei Qiao

“…Here, we developed a dissolvable microneedle dressing loaded with our novel copper complex containing an Azo-Schiff base (Cu-Azo@DMN). …”
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Design of X-Cut and Z-Cut Lithium Niobate Whispering-Gallery-Mode Disk-Resonators With High Quality Factors by Yu Pan, Guoping Lin, Souleymane Diallo, Xianmin Zhang, Yanne K. Chembo

“…We find that both resonators feature high loaded quality factors, in both cases higher than <inline-formula> <tex-math notation="LaTeX">$10^7$</tex-math></inline-formula> at 1550&#x00A0;nm. …”
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MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution by Xian Wang, Wenzhi Zeng, Junzeng Xu, Senhao Zhang, Yuexing Gu, Benhui Li, Xueyang Wang

“…Background and objectivesThis paper introduces a novel lightweight MM-3DUNet (Multi-task Mobile 3D UNet) network designed for efficient and accurate segmentation of breast cancer tumors masses from MRI images, which leverages depth-wise separable convolutions, channel expansion units, and auxiliary classification tasks to enhance feature representation and computational efficiency.MethodsWe propose a 3D depth-wise separable convolution, and construct channel expansional convolution (CEC) unit and inverted residual block (IRB) to reduce the parameter count and computational load, making the network more suitable for use in resource-constrained environments. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…We examine core VSLAM algorithms (feature-based, direct, hybrid, and deep-learning-enhanced) and discuss their adaptation to wearable platforms. …”
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All-natural ceramic composite bone scaffolds of whitlockite/wollastonite fibers: DLP additive manufacturing, microstructure, and performance by Wang Guo, Lei Zhao, Ping Li, Enyu Wang, Yuanheng Pang, Yanting Wei, Bowen Li, Yanjian Huang, Bin Liu, Shan Wang, Hui You, Yu Long

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Participant experiences in HIV cure-directed trial with an extended analytical treatment interruption in Philadelphia, United States by Andrea Bilger, Eion Plenn, Frances K. Barg, Katharine A. Rendle, William B. Carter, Andrea Lamour-Harrington, Nora Jones, Beth Peterson, John A. Sauceda, Pablo Tebas, Karam Mounzer, David Metzger, Luis J. Montaner, Karine Dubé

“…Background A feature of HIV cure trials is the need to interrupt treatment to test the efficacy of experimental interventions—a process known as analytical treatment interruptions (ATIs). …”
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Modelling district heating demand: A synthetic dataset for two residential neighbourhoodsZenodo by Katia Ritosa, Ina De Jaeger, Dirk Saelens, Staf Roels

“…For all system designs, production efficiency varied with the load ratio. Urban-scale simulations were carried out at 10-minute frequency using weather data for Heverlee, Belgium, from the year 2016.The primary objective of this dataset was to support the development of statistical tools for characterizing the heat transfer coefficient of building envelopes. …”
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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…It was further evaluated on unseen data from diverse UK cities without retraining, confirming its predictive power across varying climatic conditions. Feature importance analysis revealed that occupant behaviour and infiltration play the most significant role in energy performance, surpassing structural and building envelope characteristics.This paper’s contributions lie in the workflow designed for automating selected tasks, the AI-driven optimization framework, and the robust hybrid modeling approach, offering novel tools for energy-efficient building design and retrofitting. …”
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Activation of rock avalanches in the Central Caucasus and their impact on the dynamics of glaciers and debris flows by M. D. Dokukin, M. Yu. Bekkiev, R. Kh. Kalov, S. S. Chernomorets, E. A. Savernyuk

“…Ice-rock avalanche from Mount Kazbek in 2014 load up the former right tributary of the Devdoraki Glacier and caused its advancing in 2015–2019, at a distance of more than 400 m. …”
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