Exploring the role of self-led debriefings within simulation-based education: time to challenge the status quo? by Prashant Kumar, Neil Malcolm Harrison, Katy McAleer, Ibraaheem Khan, Susan Geraldine Somerville

“…Careful consideration and due diligence must go into the design and implementation of SLDs to augment the advantages of this debriefing format, such as enhancing flexibility and learner autonomy, whilst mitigating potential risks, such as reinforcing errors and biases or causing psychological harm. In situations where resources for facilitator-led debriefings (FLDs) are limited, simulation educators should recognise SLDs as a potential avenue to explore in their local contexts. …”
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Regional healthcare resource allocation and decision-making: Evaluating the effectiveness of the three-stage super-efficiency DEA model by Ying Liu, Lanxian Mai, Feng Huang, Zhiyu Zeng

“…However, environmental factors and random errors have led to an overestimation of healthcare resource allocation efficiency, which the three-stage super-efficiency DEA model effectively corrects. …”
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Simultaneous multi-class detection of interplanetary space weather events by Nguyen Gautier, Bernoux Guillerme, Ferlin Antoine

“…A detailed analysis of our method output shows that the great majority of detection errors are short events with a weak in-situ signature, which are expected to be among the least geoeffective event or misclassified events. …”
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Fault detection for stochastic time-varying systems based on adaptive disturbance rejection observers by Wenli ZHANG, Anning LIU, Jiantao SHI

“…To tackle these challenges, this paper proposes an adaptive disturbance rejection observer that can decouple state estimation errors from unknown disturbances. A novel, easily implementable full-order observer design method is introduced, offering highly adaptable performance across diverse disturbances and control system structures. …”
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Towards an automated protocol for wildlife density estimation using camera‐traps by Andrea Zampetti, Davide Mirante, Pablo Palencia, Luca Santini

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Design and Numerical Simulation of a Device for Film–Soil Vibrating Conveying and Separation Based on DEM–MBD Coupling by Shilong Shen, Jiaxi Zhang, Hu Zhang, Yongxin Jiang, Xin Zhou, Yichao Wang, Xuanfeng Liu, Haichun Zhang

“…Field validation tests using the optimal parameter combination yielded relative errors of 3.43% and 5.51%, respectively, demonstrating effective film–soil separation. …”
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A novel data-driven NLMPC strategy for techno-economic microgrid management with battery energy storage under uncertainty by Elnaz Yaghoubi, Elaheh Yaghoubi, Mehdi Zareian Jahromi, Mohammad Reza Maghami, Ali Paşaoğlu, Harold R. Chamorro

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Relationship between head nurses' transformational leadership style and attitudes toward reporting patient safety incidents in Hospitals by Cyrilla Ayu Pamela, Ahsan Ahsan, Viera Wardhani

“…<p><strong><em>Background</em></strong><em> <strong>:</strong> Patient safety is a top priority in healthcare services to prevent avoidable incidents and reduce the risk of medical errors. The World Health Organization (WHO) reports that patient safety incidents are among the top ten leading causes of death and disability worldwide. …”
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Prevalence and Correlates of Mental Health Problems in Resident Physicians in Inner Mongolia Autonomous Region: A Cross-Sectional Study by Zhang Y, Zhang L, Que J, Jia M, Nan X, Zhang J, Gao H, Chen L

“…Factors such as training stage, professional accomplishments, self-reported medical errors, self-esteem, perceived stress, and social support were significantly associated with mental health issues, as identified by multivariate logistic regression.Conclusion: The mental health problems among residents are prominent. …”
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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…., 2000], but with a particular focus on the incredible adoption and advancement of de Marsily’s PPM and related inverse techniques over the last twenty years in the field of predictive groundwater modeling.Much has been written about the vast array of inverse techniques developed by researchers and practitioners since the 1960s. de Marsily’s PPM, like many methods developed in the late 70s and early 80s, structured its approach to parameterization to overcome many of the challenges of applying inverse methods to real world problems, namely, limited head and transmissivity data relative to the number of unknowns to be estimated, measurement errors, inferred covariance structures of the state variables, and limited computational resources. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…Among MHPs, 43% (37/86) used AI; mostly for research (24/37, 65%) and report writing (20/37, 54%). …”
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Provider perspectives on caring for patients with limited English proficiency-a national survey of the Society of Gynecologic Oncology by S.M. Folsom, A.B. Olawaiye, S.E. Taylor

“…Background: In diversity, equity and inclusion research, overcoming barriers in language discordant patient care is one of the largest and most challenging gaps. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…The results for model errors were found to be %2.09, %2.99, %10.68, and %1.75 for MLP, RBF, GRNN, and CFNN, respectively. …”
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The use of artificial intelligence in the diagnosis of oral carcinoma by Francesco Gianfreda, Andrea Danieli, Maria Scarpati Cioffari di Castiglione, Marco Gargari, Patrizio Bollero, Mirko Martelli

“…Continuous research and development are needed to refine these systems and ensure their effective implementation in clinical practice. …”
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Transformers for Domain-Specific Text Classification: A Case Study in the Banking Sector by Samer Murrar, Fatima M. Alhaj, Fadi Almasalha, Mahmoud H. Qutqut

“…The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster response times, automated message classification, and reduced human errors. The classification results are integrated into live banking systems, enabling continuous 24/7 message processing and instant categorization. …”
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Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…Purpose of the research. The aim of the study is to increase the effectiveness of information security and to enhance accuracy and promptness of the classification of security events, security incidents, and threats in information security systems. …”
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

“…The XGB model demonstrated the highest R2 of 0.9989, alongside the lowest prediction errors: MAE of 0.1351 MPa, RMSE of 0.1842 MPa, and MAPE of 0.48%. …”
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Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines by Yaoshan Bi, Jiwen Wu, Xiaorong Zhai, Shuhao Shen, Libin Tang, Kai Huang, Dawei Zhang

“…To improve model accuracy and predictive ability, hierarchical clustering analysis method was used to eliminate seven unqualified water samples to reduce the errors caused by improper data. PCA and PLS-DA methods were used to analyze and process the remaining water sample data, and on the basis of PCA analysis, the remaining 38 water samples were used to establish the PLS-DA discriminant model. …”
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OWL model of multi-agent Smart-system of distance learning for people with vision disabilities by Galina A. Samigulina, Asem S. Shayakhmetova, Adlet Nyusupov

“…Multi-agent approach provides multi functionality of system, stability to system errors, and optimization of computing resources.…”
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Retrieval of non-optical active water quality parameters in complex Lake environments using a novel zoning-based ensemble modeling strategy by Cheng Cai, Linlin Liu, Ziming Wang, Wei Pang, Congshuo Bai, Huanxue Zhang

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