Another gap on the rota: a scoping review of attrition from specialty training in secondary care by Gillian Vance, Bryan Burford, Megan E L Brown, Hannah Gillespie, Nicola Brennan

“…Despite a competitive selection process, a substantial number of doctors leave specialty training (ST) programmes prematurely. …”
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Enhancing Interoperability Between Building Information Modeling and Building Energy Modeling: Alphanumerical Information Exchange for Energy Optimization in Early Design Stages by Josef Miller, Larissa Schneiderbauer, Martin Hauer, Alexandra Jäger, Georg Fröch, Rainer Pfluger, Stephan Moser

“…Building information modeling (BIM) has revolutionized integrated planning by optimizing costs, schedule, and material use. However, building energy modeling (BEM) remains underutilized in early design stages due to interoperability challenges between BIM and BEM tools. …”
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A Comprehensive Talent Management Plan in Iranian Accounting and Auditing Using the Grounded Theory Approach by Naser Mastechaman, Heydar Mohammadzadeh Salteh, Aliakbar Nonahal Nahr, Sasan Mehrani

“…The issue is posed in three concepts of reaching a consensus about the definition of talent, creating a culture of talent management, and regularization of talent management process(attract, raise, and hold) and some strategies are formulated, and final pattern is mapped out regarding the rationale, background, and intervening conditions. …”
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Integrated approach for assessing the fire risk of ethanol storage tank: A case study in ethanol manufacturing plant in Ubon Ratchathani Province, Thailand by Ratchanee Joomjee, Arroon Ketsakorn

“…FTA was employed to identify hazards and critical failure pathways, with process mapping supported by a piping and instrumentation diagram (P&ID), while AHP used expert judgment validated through pairwise comparisons to calculate the probabilities of human and technical errors. …”
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What are fair study benefits in international health research? Consulting community members in Kenya. by Maureen Njue, Francis Kombe, Salim Mwalukore, Sassy Molyneux, Vicki Marsh

“…<h4>Background</h4>Planning study benefits and payments for participants in international health research in low- income settings can be a difficult and controversial process, with particular challenges in balancing risks of undue inducement and exploitation and understanding how researchers should take account of background inequities. …”
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International activity of the innovative enterprises – experience and recommendations by Zofia GRÓDEK-SZOSTAK, Karolina KOTULEWICZ-WISIŃSKA, Małgorzata LUC

“…There is also the significant element like public support for companies in the whole technology transfer process.…”
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Blockchain, Artificial Intelligence, Internet of Things to Improve Governance, Financial Management and Control of Crisis: Case Study COVID-19 by Belen Suarez Lopez, Antonio Vargas Alcaide

“…Artificial intelligence models can help map, manage, predict, and model complex processes, reducing uncertainty, and supporting professionals in decision-making. …”
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Integrating community-based verbal autopsy into civil registration and vital statistics: lessons learnt from five countries by Rohina Joshi, Peng Yin, John D Hart, Viola Kwa, Ian Riley, Hang Li, Khin Sandar Bo, Agnes Segarra, Lene Mikkelsen, Sonja Margot Firth, Matthew Reeve, Deborah Carmina Sarmiento, Jin-Lei Qi

“…A staged approach to VA implementation involved scoping and mapping of death registration processes, followed by pretest and pilot phases which allowed for redesign before a phased scale-up. …”
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RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning by Yuanyuan Hu, Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

“…Performance evaluations demonstrate RoadDiffBox’s effectiveness, with classification models achieving an F1-score of 0.95 and detection models reaching a mean average precision (mAP@50) of 0.95 and an F1-score of 0.91 in controlled settings, while maintaining robust performance (an F1-score of 0.86 and a mAP@50 of 0.91) during on-site testing in real-world conditions. …”
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Sense (and) the city: From Internet of Things sensors and open data platforms to urban observatories by Vijay Kumar, Sam Gunner, Maria Pregnolato, Patrick Tully, Nektarios Georgalas, George Oikonomou, Stylianos Karatzas, Theo Tryfonas

“…The authors provide examples from the UK, map the data generation processes across levels of urban hierarchies and discuss the role of emerging sociotechnical urban sensing infrastructures, that is, independent, open, and transparent capabilities that facilitate stakeholder engagement and collection and curation of grassroots data. …”
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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection by Xiang Gan, Shukun Cao, Jin Wang, Yu Wang, Xu Hou

“…The experimental results showed that the precision, recall, and mAP0.5 of the improved algorithm were improved by 1.4, 1.1, and 1.5%, respectively, compared with YOLOv8n, and the model parameters and computational costs were reduced by 6.6 and 7.3%, respectively. …”
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Integration of Accelerometers and Machine Learning with BIM for Railway Tight- and Wide-Gauge Detection by Jessada Sresakoolchai, Chayutpong Manakul, Ni-Asri Cheputeh

“…BIM’s capabilities allow for the precise mapping of tight- and wide-gauge locations, streamlining maintenance workflows and resource allocation. …”
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Product family modeling technology for customized cosmetic packaging design based on basic-element theory by Tao Chen, Ding-Bang Luh, Jinguang Wang

“…Background: As the market demands change, SMEs (small and medium-sized enterprises) have long faced many design issues, including high costs, lengthy cycles, and insufficient innovation. …”
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Deep Learning Method with Domain-Task Adaptation and Client-Specific Fine-Tuning YOLO11 Model for Counting Greenhouse Tomatoes by Igor Glukhikh, Dmitry Glukhikh, Anna Gubina, Tatiana Chernysheva

“…The large-scale implementation of computer vision systems in greenhouses requires approaches that reduce costs, time and complexity, particularly in creating training data and preparing neural network models. …”
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Factors contributing to the implementation of interventions to prevent and manage intensive care unit delirium: a systematic review protocol by Roxanne M Parslow, Andrew Booth, Maria Pufulete, Andrew J Moore, Ben Gibbison, Burak Kundakci, Katherine Louise Jones

“…Our findings will be synthesised using a best-fit framework synthesis mapped against the Theoretical Domains Framework (TDF). …”
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Improving health in developing countries: reducing complexity of drug supply chains by Marianne Jahre, Luc Dumoulin, Langdon B. Greenhalgh, Claudia Hudspeth, Phillips Limlim, Anna Spindler

“…A model for logistics process redesign was used for the analysis. Results were quantified with use of a simple tool developed for this specific purpose. …”
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Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction by Ardin Bajraktari, Hayrettin Toylan

“…Automating agricultural machinery presents a significant opportunity to lower costs and enhance efficiency in both current and future field operations. …”
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Uncertainty Estimation for Photogrammetric Point Clouds of UAV Imagery by D. Huang, D. Huang, D. Huang, R. Qin, R. Qin, R. Qin, R. Qin

“…Specifically, we leverage multi-ray points from the MVS framework to map dense matching costs to metric disparity uncertainty. …”
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An improved chilli pepper flower detection approach based on YOLOv8 by Zhi-Yong Wang, Cui-Ping Zhang

“…Artificial pollination, on the other hand, raises production costs while also necessitating specific operating abilities. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…However, current methods for constructing fitness landscapes demonstrate insufficient theoretical analysis of state parameters and involve high construction time costs. To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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