Behavior change interventions to promote adoption of e-bike shared mobility in a rural area: evidence from a mixed-method field trial by Mark Wilson, Mark Wilson, Lorraine Whitmarsh, Lorraine Whitmarsh

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Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism by Xuetao Jiang, Yuchun Gou, Meiyu Jiang, Lihui Luo, Qingguo Zhou

“…However, the PV process is affected differently by various factors under different weather conditions, resulting in significantly different energy output curves. …”
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Sustainable Material Selection in Construction using Multi Criteria Decision Analysis (MCDA) by Sudakova Anna, Lalitha Yaragudipati Sri, Reddy K. Ramakrishna, Kataria Ansh, Prakash Sunil, Sharma Gazal, Mittal Sachin, Kumar Yogesh, Almusawi Muntather

“…Sustainable material is an innovative combination of hybrid engineering methods and advanced Multi Criteria Decision that seeks to transform the properties of materials on different surfaces. …”
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Stability of tenogenic secretomes optical density, colour, weight, TGF-b concentration and bacterial growth after 30-day storage under room or refrigerator temperature by Aziz Mukhlis, Soesilawati Pratiwi, Lestari Pudji, Suroto Heri

“…The parameters used in this study were physical (optical density (OD); weight differences (D weight) and colour changes); chemical (transforming growth factor beta (TGF-b) concentration); and biological (bacterial growth) stability. …”
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Evaluating large language models and agents in healthcare: key challenges in clinical applications by Xiaolan Chen, Jiayang Xiang, Shanfu Lu, Yexin Liu, Mingguang He, Danli Shi

“…Second, we analyzed key medical task scenarios: closed-ended tasks, open-ended tasks, image processing tasks, and real-world multitask scenarios involving LLM agents, thereby offering guidance for further research across different medical applications. Third, we compared evaluation methods and dimensions, covering both automated metrics and human expert assessments, while addressing traditional accuracy measures alongside agent-specific dimensions, such as tool usage and reasoning capabilities. …”
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ADVERTISEMENT AS A MEANS OF COMMUNICATION: THE CONTENT AND PECULIARITIES OF TRANSLATION by Inna M. Anataichuk, Olena V. Rutz, Viktoriya S. Sazonova

“…Therefore, after the analysis of the abovementioned methods of translating English advertising texts, we can conclude that the translator has a large variety of translation transformations. …”
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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

“…Its training time is only one three hundredth of the latter and its prediction time is just one tenth of the later, making it highly suitable for well-logging interpretation. Although the Transformer model was less computationally efficient, it exhibited strengths in predicting subsurface strength parameters, particularly in capturing spatial variations and forecasting these parameters across different spatial locations. …”
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Kinematical Analysis of Waist Structure of Single Drive Robot by Hu Yankai, Zheng Meng, Hou Zhao, Lin Yuanbin, He Beilin

“…The kinematical principle of the structure and the selection of the relevant initial parameters are introduced and the coordinate transformation matrix of the upper body under different conditions is obtained by Denavit-Hartenberg（ D-H） method. …”
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Generative Artificial Intelligence in Education: Discussions and Forecasts by L. V. Konstantinova, V. V. Vorozhikhin, A. M. Petrov, E. S. Titova, D. A. Shtykhno

“…Five groups of expert opinions were identified regarding the impact of generative artificial intelligence on education, which differ as to the need for its use in educational organizations and the scope of educational transformations that can occur under its influence. …”
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PERSPECTIVE DIRECTIONS OF PATRIOTIC EDUCATION by I. Ya. Murzina, S. V. Kazakova

“…However, in the modern sociocultural situation, characterised by diversity, discrepancy, multi-vector nature of development of society and polystylicity of culture, it is necessary to revise the forms of patriotic education in order to adjust them in accordance with the  requirements and mental features of new young generation – so-called generation Z, which is considerably different from the previous generation of peers.The aims of the research were the following: to identify promising areas and vectors of patriotic education, to demonstrate its resources and to highlight the most relevant means and possibilities, which are appropriate to present-day realities.Methodology and research methods. …”
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Instance-Level Weighted Contrast Learning for Text Classification by Xinhui Liu, Jifa Chen, Qiubo Huang

“…Contrastive learning has become a key research focus aimed at improving classification performance by learning the similarities and differences between samples using models. However, existing contrastive learning methods have notable shortcomings, primarily concerning insufficient data utilization. …”
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Academentia, management and satire: ‘The good, the bad and the ugly’ by Keyan G. Tomaselli

“…Research purpose: Satire beckons when normal science cannot reproduce itself or shift to account for different ways of doing things. When reality mimics satire, satire becomes an appropriate methodology. …”
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Entropy-Guided KV Caching for Efficient LLM Inference by Heekyum Kim, Yuchul Jung

“…Instead of selecting different key–value tokens per head, our method selects a common set of important tokens per layer, based on aggregated attention scores, and caches them uniformly across all heads within the same layer. …”
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Wave-DNA: A software tool for simulating nonlinear acoustic waves emitted by moving boundaries by Sören Schenke, Fabian Sewerin, Berend van Wachem, Fabian Denner

“…At its core, Wave-DNA is based on the convective Kuznetsov equation, a second-order nonlinear acoustic wave equation that accounts for the background flow and may be reduced to alternative wave equations by applying simplifying assumptions. A tailored finite-difference time-domain method with time-dependent coordinate transformation enables the accurate simulation of acoustic waves emitted by moving boundaries.…”
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Prior-FOVNet: A Multimodal Deep Learning Framework for Megavoltage Computed Tomography Truncation Artifact Correction and Field-of-View Extension by Long Tang, Mengxun Zheng, Peiwen Liang, Zifeng Li, Yongqi Zhu, Hua Zhang

“…Specifically, to address the intensity discrepancies between different imaging modalities, we employ a contrastive learning-based GAN, named TransNet, to transform KVCT images into synthesized MVCT (sMVCT) images. …”
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Resource state adaptive collaboration mechanism based on resource modeling and multi-agent system by Zhengzuo Li, Chengxi Piao, Dianhui Chu, Zhiying Tu, Xin Hu, Deqiong Ding

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OS-PSO: A Modified Ratio of Exponentially Weighted Averages-Based Optical and SAR Image Registration by Hui Zhang, Yu Song, Jingfang Hu, Yansheng Li, Yang Li, Guowei Gao

“…Finally, we propose an enhanced matching method. The transformed relation is obtained in the initial matching stage using the nearest neighbor distance ratio (NNDR) and fast sample consensus (FSC) methods. …”
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Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

“…In this study, the wide-ranging Tasseled Cap Transformation (TCT) is proposed as a not-sophisticated and rapid method able to detect different land-change features simultaneously by processing only two (pre- and post-event) Sentinel-2 images. …”
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A Frequency-Independent Phase Shifter by Máté Csanád, Amira K. F. Val Baker, Paul Oomen

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DB-Net: A Dual-Branch Hybrid Network for Stroke Lesion Segmentation on Non-Contrast CT Images by Xiao Jia, He Dong, Jiashu Xu, Yanhong Zhang, Yihua Lan

“…To address these challenges, this study proposes a two-branch hybrid network combining a convolutional neural network (CNN) with a Transformer framework. The proposed architecture features the aforementioned dual-branch encoder, as well as a spatial channel difference learning module and parallel attention module. …”
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