Field Measurement and Numerical Simulation of Train-Induced Vibration from a Metro Tunnel in Soft Deposits by Qiang Huang, Pan Li, Dongming Zhang, Hongwei Huang, Feng Zhang

“…Train-induced vibration is increasingly attracting people’s concern nowadays. …”
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PYTHON PROGRAMMING LANGUAGE AS A MEANS OF TRAINING FUTURE TEACHERS OF COMPUTER SCIENCE WHEN WORKING WITH ARDUINO by V. Kyslitsyn, L. Shevchenko, V. Umanets

“…This article explores the possibilities and advantages of using the Python programming language together with Arduino robotics kits in the process of training future computer science teachers in pedagogical educational institutions. …”
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Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels by Xiaolei Qin, Haonan Guo, Xin Su, Zhenghui Zhao, Di Wang, Liangpei Zhang

“…The code of our method is available at https://github.com/XiaoleiQinn/STCLN.…”
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Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain by Lars Mehlum, Ronald C Kessler, Rosa Morros, Gemma Vilagut, Jordi Alonso, Philippe Mortier, Beatriz Puértolas Gracia, Ana De Inés Trujillo, Itxaso Alayo Bueno, Laura Ballester Coma, María Jesús Blasco Cubedo, Narcís Cardoner, Cristina Colls, Matilde Elices, Anna Garcia-Altes, Manel Gené Badia, Javier Gómez Sánchez, Mario Martín Sánchez, Bibiana Prat Pubill, Ping Qin, Diego Palao, Víctor Pérez Sola

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X-SPIDE: An eXplainable Machine Learning Pipeline for Detecting Smart Ponzi Contracts in Ethereum by Luca Pennella, Fabio Pinelli, Letterio Galletta

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Predictors of in-hospital Mortality After Rapid Response System Activation in a Newly Established Tertiary Hospital by Büşra Tezcan, Müçteba Can, Çilem Bayındır Dicle, İbrahim Mungan, Derya Ademoğlu

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ChatGPT and general-purpose AI count fruits in pictures surprisingly well without programming or training by Konlavach Mengsuwan, Juan C. Rivera-Palacio, Masahiro Ryo

“…General-purpose artificial intelligence (AI) can facilitate agricultural digitalization as many tools do not require coding. Yet, it remains unclear how well the emerging general-purpose AI technologies can perform object counting, which is a fundamental task in agricultural digitalization, in comparison to the current standard practice. …”
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Named Entity Recognition for Medical Records of Heart Failure Using a Pre-trained BERT Model by Mikael Triartama Manurung, I Gusti Ngurah Lanang Wijayakusuma, I Putu Winada Gautama

“…This study aims to develop a Named Entity Recognition (NER) model based on a pre-trained BERT model for medical records of heart failure patients. …”
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A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes by Yu Peng, Erchao Li

“…However, the effectiveness of softsensor models is often hindered by noise in data acquisition, posing significant challenges for model training. To tackle this issue, this study introduces a coevolutionary training framework based on generative models to mitigate the impact of noise corruption. …”
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Toward equity in cultivating a “garden of mentors:” An exploration of networking experiences in an implementation research training program by Loni J. Parrish, Amanda Gilbert, Kate Hoppe, Gloria D. Coronado, Karen M. Emmons, Amy A. Eyler, Debra Haire-Joshu, Rebekah R. Jacob, Alison B. Hamilton, Shelly J. Kannuthurai, Ross C. Brownson

“… Abstract Introduction: The Institute for Implementation Science Scholars (IS-2) is a dissemination and implementation (D&I) science training and mentoring program. A key component of IS-2 is collaborating and networking. …”
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Improving Confidence in Performing Clinical Procedures Through Peer-Driven Training Sessions for Preclinical Medical Students by Maxwell B. Bohrer, David L. Rodgers

“…Collaboration between students and faculty could further integrate such training into the official curriculum.…”
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A qualitative evaluation of the short and long-term impacts of an implementation science training program in South Africa by Oludoyinmola Ojifinni, Nosipho Shangase, Kristin Reed, Kathryn Salisbury, Tobias F. Chirwa, Juliana Kagura, Latifat Ibisomi, Audrey E. Pettifor, Rohit Ramaswamy, Sophia M. Bartels

“…Results Prior to the training, all students, even those with no knowledge of the field, perceived that the IS training program would help them develop skills to address critical public health priorities. …”
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SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering by Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng

“…Further verification using a neuromorphic hardware simulator shows that TCP-based SpiNeRF achieves additional energy efficiency gains over the ANN-based approaches by leveraging the advantages of neuromorphic computing. Codes are in https://github.com/Ikarosy/SpikingNeRF-of-CASIA.…”
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Comparative Analysis of Input Image Characteristics in Convolutional Neural Network-based Signature Detection by M. Adamec, M. Turcanik

“…The utilization of the NxN scalable format for machine code instruction representation results in enhanced accuracy, accelerated training, and a considerable reduction in pixel usage, indicating a promising avenue for optimizing the efficiency of malware detection.…”
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DSGD++: Reducing Uncertainty and Training Time in the DSGD Classifier through a Mass Assignment Function Initialization Technique by Aik Tarkhanyan, Ashot Harutyunyan

“…This confidence is incorporated into the initialization of the corresponding Mass Assignment Function (MAF), providing a better starting point for the DSGD’s optimizer and enabling faster, more effective convergence. The code is available at https://github.com/HaykTarkhanyan/DSGD-Enhanced.…”
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Comparing the Effects of Dry-Land and In-Water Core Stability Training Programs on Swimmers’ Upper Body Balance and Performance by Javad Harati, Hassan Daneshmandi, Mohammad Reza Shahabi Kaseb

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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…The results of experiments conducted with real-world underwater images show that the proposed model achieves improved performance compared to state-of-the-art methods. The code for the newly developed HUWIE-Net is available at <uri>https://github.com/UIE-Lab/HUWIE-Net</uri>.…”
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Comparison of efficiency management training using lecturing and small group teaching on learning rate of Nursing and Midwifery student’s by Fariba Asgari, Taherehsadat Khoshnazar, Asiyeh Sedighi

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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…Instruction tuning plays a pivotal role in aligning large language models with diverse tasks, yet its effectiveness hinges on the interplay of data quality, domain composition, and training strategies. This study moves beyond qualitative assessment to systematically quantify these factors through extensive experiments on data selection, data mixture, and training protocols. …”
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The Effect of a Period Stretching Training on Functional Dynamic Balance Performance and Range of Motion Patients with Knee Osteoarthritis by Edris Bavardi Moghadam, Seyed Sadradin Shojaedin

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