Nomenclature savante et classement profane by Laurence Proteau

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Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

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Artificial Intelligence in Forensic Expertology by E. V. Chesnokova, A. I. Usov, G. G. Omel’yanyuk, M. V. Nikulina

“…The authors have developed the criteria for choosing the direction for the introduction of AI in the system of forensic expertology, and specifically in its innovative section – the management system of forensic expert activity.The prospects for the development of AI technologies in forensic examination are associated with the processing of big data based on the expert situation, the reliability of the data used in AI training and further validation (assessment of suitability) of the applied training methodology, analysis of the results of AI technology. …”
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The enforcement of the Regional House of Representatives in Indonesia: A normative review by Nurul Qamar, La Ode Husen, Syaharuddin Nawi, Wahyudin Abd. Wahid

“…The study results show that the normative perspective of enforcing the code of ethics is understood as enforcing functional ethics. …”
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Cross-language refactoring detection method based on edit sequence by Tao LI, Dongwen ZHANG, Yang ZHANG, Kun ZHENG

“…Secondly, the CodeBERT pre-training model was combined with the BiLSTM-attention model to train and test on the dataset. …”
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Pathology of the Training Process for the Incident Command System Staff of Hospitals in Guilan Province, Iran, Based on the Three-pronged Approach by Arezou Porkar, Sadraddin Sattari, Mohammad Taghi Moghadamnia

“…Background Staff training in organizations is a measure for developing human capital. …”
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Healthcare decision-makers’ perspectives on evaluating conflict management training in paediatric healthcare: a utilisation-focused qualitative study by Oscar Lyons, Sarah Barclay, Esse Menson, Juliette Phillipson

“…Codes relating to patient/family experience focused on the quality of communication and support during conflicts. …”
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How do field epidemiologists learn? A protocol for a qualitative inquiry into learning in field epidemiology training programmes by Martyn D Kirk, Tambri Housen, Emma Field, Matthew Myers Griffith, Angela Song-en Huang, Tomoe Shimada, Munkhzul Battsend, Barbara Pamphilon

“…Introduction COVID-19 underscored the importance of field epidemiology training programmes (FETPs) as countries struggled with overwhelming demands. …”
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Exploring Academic Performance Leading to Engineering Students' Dropout in the Context of South African Technical Vocational Education and Training Colleges by PATRICK MAREME SEROKA, MMALEFIKANE SYLVIA SEPENG

“…The major goal of this study was to determine the root causes of a Technical Vocational Education Training College's high failure and dropout rates. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…We publish all source codes so our experiments can be reproduced.…”
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Training well-rounded healthcare professionals through developing religious/spiritual competencies: a grounded theory study in Iran by Akram Heidari, Abbas Abbaspour, Morteza Heidari

“…Data analysis included open, axial, and selective coding that were performed through constant comparisons to identify main themes and represent their interrelationships as a model. …”
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Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence by David Peiris, James O'Donovan, Niall Winters, Shobhana Nagraj, Laurenz Langer, Promise Nduku, James Robson, Pallab Maulik, Chris Paton

“…We searched eight scientific databases and 54 grey literature sources, developed explicit inclusion criteria, and coded all included studies at full text for key variables. …”
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Evaluating a train-the-trainer approach for implementing obstetric life support in diverse healthcare contexts throughout Arizona: a mixed methods protocol by Shayna D. Cunningham, Rogie Royce Carandang, Laurie S. Wood, Marcia Barry, Peggy Baker, Makayla Murphy, Cheryl K. Roth, Les R. Becker, Brook Thomson, Vincent Mosesso, Jacqueline Vidosh, John Phelps, Benjamin Sutton, James J. Grady, Kristen Annis-Brayne, Andrea Shields

“…Outcomes to be assessed include reach (proportion and representation of institutions offering OBLS, instructors trained, and HCWs participating), effectiveness (impact of OBLS on knowledge and clinical competencies, presence of code carts containing OBLS cognitive aids and resuscitative cesarean delivery kits in hospitals, and the use of an OB Arrest Alert in prehospital settings), adoption (allocation of resources for OBLS), implementation (number of courses completed, fidelity of the training delivery), and maintenance (extent to which training becomes integrated into routine practice and policy). …”
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Analysis of the Fatigue Life for Cracked Planetary Gear of Large Pendulum Reducer by Xue Zhen, Xiang Huiyu, Leng Chongjie, Zhang Yong, Sun Chao

“…Some digitized models of planetary gear train with different cracks are built. Based on the theory of fracture mechanics,the relationship between the intensity factors of crack stress and the fatigue life of the gear is analyzed. …”
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Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories by Philip König, Sebastian Raubitzek, Alexander Schatten, Dennis Toth, Fabian Obermann, Caroline König, Kevin Mallinger

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On Improving Administrative and Legal Provision of HR Management in State Forensic Institutions and Professional Training of Forensic Experts of the Ministry of Justice of Ukraine by O. V. Kurdes

“…The problematic issues of administrative and legal provision HR management of state forensic institutions and professional training of forensic experts of the Ministry of Justice of Ukraine have been studied. …”
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Mitigating Quantization Errors Due to Activation Spikes in Gated Linear Unit-Based Large Language Models by Jaewoo Yang, Hayun Kim, Junyung Ji, Younghoon Kim

“…Modern large language models (LLMs) achieve state-of-the-art performance through architectural advancements but require high computational costs for inference. Post-training quantization is a widely adopted approach to reduce these costs by quantizing weights and activations to lower precision, such as INT8. …”
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MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits by Yang Deng, Bangchao Wang, Qiang Zhu, Junping Liu, Jiewen Kuang, Xingfu Li

“…Recent advancements in large language models, particularly pre-trained models, have improved the effectiveness of automated ILR. …”
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w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training by Orlem Lima Dos Santos, Karen Rosero, Bruno Masiero, Roberto de Alencar Lotufo

“…The w2v-SELD model performs competitively with state-of-the-art supervised methods, highlighting its potential to significantly reduce the dependency on labeled data in industrial SELD applications. The code and pre-trained parameters of our w2v-SELD model are available online.…”
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Enhancing quantitative capacity for the health sector in post-Ebola Liberia, a tracer study of a locally developed and owned coding and biostatistics program [version 1; peer revie... by Laura A. Skrip, George B. Davis, Mulbah K.A. Kromah, Trokon O. Yeabah, Snoyonoh T. Barcon

“…Conclusions Program skills are being applied by students employed in health-related sectors, suggesting that the training content is relevant and useful for addressing some of the workforce’s analysis needs. …”
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