Ethical Use of Social Media and Sharing of Patient Information by Medical Students at a University Hospital in Saudi Arabia: Cross-Sectional Survey by Sara Farsi, Alaa Sabbahi, Deyala Sait, Raghad Kabli, Ghaliah Abduljabar

“…Approximately 66% of the participants reported that they were unaware if their institution had a professional code of conduct for SM use, and 259/371 (70%) did not receive training on the professional use of SM. …”
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Application of the European Court of Human Rights case law in the criminal proceedings in Ukraine by O. Ye. Soloviova

“…The following prospects for improving the application of the European Court of Human Rights case law in criminal proceedings in Ukraine are identified: 1) the amendments to the Criminal Procedure Code of Ukraine to comply with European standards, in particular, with regard to the right to a fair trial, the presumption of innocence, protection against torture and unlawful detention, ill-treatment, etc.; 2) the development of recommendations to improve the training of judges, prosecutors, lawyers and pre-trial investigation bodies; 3) the strengthening of control over the observance of human rights, the reasonableness of the time limits during the pre-trial investigation, and fair and lawful trial; The following prospects for improving the application of the European Court of Human Rights case law in criminal proceedings in Ukraine are identified: 4) the improvement of procedures for verification, evaluation and examination of evidence in order to protect the defence from unlawful actions of the prosecution; 5) the introduction of mechanisms for the effective implementation of judgments of the European Court of Human Rights in individual cases; 6) the provision of adequate funding and resources to law enforcement and law enforcement agencies.…”
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Visual tracking by matching points using diffusion model by Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed

“…The source code of the Stable-SAM2 is publicly available at: https://github.com/HamadYA/Stable-SAM2.…”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…Chemical foundation models are generally based on a two-step approach-pre-training on unlabeled data followed by fine-tuning on specific tasks-to boost model capacity. …”
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The effectiveness of the pre-employment card program on increasing recipient productivity by Irvan Taufiq, Muhammad Heru Akhmadi

“…The data processing in this research uses the ATLAS application, which can help organize, code, and analyze research data more efficiently and structure. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…This study confirms the potential of approximate computing to optimize machine learning workflows, making it particularly suitable for applications with limited computational resources. The source code is publicly available online https://github.com/AyadMDalloo/DatalvlAxC.…”
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Correlation between self-concept and academic achievement of students by Zohre Salmalian, Ehsan Kazemnezhad Leili

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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…Our findings demonstrate that AutoSklearn excels in predictive performance for binary and multiclass settings, albeit at longer training times, while Lightwood and AutoKeras offer faster training at the cost of predictive performance on complex datasets. …”
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EEG-CLIP: learning EEG representations from natural language descriptions by Tidiane Camaret Ndir, Tidiane Camaret Ndir, Robin T. Schirrmeister , Robin T. Schirrmeister , Tonio Ball , Tonio Ball 

“…Deep networks for electroencephalogram (EEG) decoding are often only trained to solve one specific task, such as pathology or age decoding. …”
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Silkscreen: Direct Measurements of Galaxy Distances from Survey Image Cutouts by Tim B. Miller, Imad Pasha, Ava Polzin, Pieter van Dokkum

“…We introduce Silkscreen : a code leveraging neural posterior estimation to infer the posterior distribution of parameters while simultaneously training a convolutional neural network such that inference is performed directly on the images. …”
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Analysis of Body Posture of Rice Processing Warehouse Workers Using OWAS Method (Ovako Working Analysis System) by Topan Nopanto, Ade Astuti Widi Rahayu, Fathurohman Fathurohman

“…Data collection included systematic observation and analysis categorized by OWAS Action Codes. Immediate corrective actions, including ergonomic adjustments and improved training, are essential to mitigate these risks. …”
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Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network by Chengguang Zhang, Zhen Guo, Chuan Li

“…Next, these reconstruction errors are utilized to train one-class support vector machine (OCSVM). During the testing phase, reconstruction errors are similarly calculated for the test data, and after being normalized using the same process as the training data, the errors are input into the trained OCSVM model for anomaly detection. …”
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Domain Adaptation for Vehicle Detection Under Adverse Weather by Huei-Yung Lin, Yi-Chao Huang, Jing-Xian Lai, Ting-Ting You

“…Code and datasets are available at <uri>https://github.com/daniel851218/all-weather-vehicle-detector</uri>.…”
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Leveraging Graph Networks to Model Environments in Reinforcement Learning by Viswanath Chadalapaka, Volkan Ustun, Lixing Liu

“…We also explore our model’s applicability in Multi-Agent RL scenarios. Our code is available online at https://github.com/Derposoft/GNNsAsEnvs.…”
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Promoting Cyber Ethics Compliance among Teachers in Tanzania: What should be done? by Hamisi Mfaume, Margareth Bilinga

“…The findings indicated that teachers’ compliance with cyber ethics requires training of teachers on the pedagogical uses of technology, the inception of a specific national policy for the responsible use of technology in schools, integration of the cyber ethics aspects of the Teachers’ Code of Conduct, improvement of teachers’ living and working conditions, and promotion of teachers’ awareness of the Cyber Crimes Act of 2015, among others. …”
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AlBERTo: Modeling Italian Social Media Language with BERT by Marco Polignano, Valerio Basile, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro

“…The specifications of the model, the code developed for training and fine-tuning, and the instructions for using it in a research project are freely available.…”
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LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology by Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin Wandelt, Greg L. Bryan

“…The pipeline includes software for implementing various neural architectures, training schema, priors, and density estimators in a manner easily adaptable to any research workflow. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Our source code is available at: https://github.com/PaTinLei/EOD.…”
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Transformer model with external token memories and attention for PersonaChat by Taize Sun, Katsuhide Fujita

“…The prevailing approach involves using large machine-learning models and extensive datasets for training to ensure that token information and the connections between them exist solely within the model structure. …”
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ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design by Vikash Kumar, Behnaz Ranjbar, Akash Kumar

“…This article introduces ESOMICS, a novel scheme, to obtain appropriate WCET for LO modes, in which we propose an ML-based approach for WCET estimation based on the application&#x2019;s source code analysis and the model training using a comprehensive data set. …”
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