A novel meta-heuristic algorithm based on candidate cooperation and competition by Yue Cong, Bingnan Yang, Jie Wei

“…The mutual influence stage includes various cooperative behaviors, such as one-on-one and many-to-one assistance, collaborative discussions among outstanding candidates, and targeted support for average candidates. Additionally, it incorporates competitive mechanisms, including contests among top-performing candidates and elimination strategies. …”
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Awareness and attitude of using telemedicine among diabetic; a cross-sectional survey in Asser region, Saudi Arabia by Eman Ali AlQahtani, Bander Abdullah Fajhan, Reema Mohammed Bedywi, Ahmad Ibrahim Asiri, Rammas Abdullah Shawkhan, Adhwaa Ahmed Aljari, Roaa Saad Alqahtani Sara Ali Asiri, Jood Abdulhakeem Al Hamdan, Shahad Saleh Alhassan, Sami Hassan Hakami, Alhussain Ali Asiri, Abdullah Qasem, Asiri

“…Settings and Design: A descriptive cross-sectional approach was used targeting all accessible diabetic patients in the Aseer region, southern Saudi Arabia. …”
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High-Standard Farmland Construction Policy, Agricultural New-Quality Productivity, and Greenhouse Gas Emissions from Crop Cultivation: Evidence from China by Ying Wang, Jiaqi Li, Yiqi Fan, Wanling Chen

“…The findings of this study suggest that governments should implement differentiated and targeted policies for HSFC, with particular emphasis on the crucial role of new-quality agricultural productivity in reducing CGHGE.…”
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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance by Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

“…Considering the binary nature of the data, the chi-square test was used to compare results among the different chatbots, with a statistical significance level of P. ResultsOn average, the selected chatbots correctly answered 81.1% (SD 12.8%) of the questions, surpassing the students’ performance by 8.3% (P=PP ConclusionsOur study suggests that different AI models may have unique strengths in specific medical fields, which could be leveraged for targeted support in biochemistry courses. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…Finally, the designed C2f_EMSCP method is integrated into the backbone and neck networks, effectively merging multi-scale convolutional networks and position-aware modules to enhance the model’s sensitivity and detection capability for multi-scale targets by fusing feature maps of different scales. …”
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Long COVID Is Associated with Decreased Quality of Life and Increased Mental Disability by Jaewhan Kim, Emeka Elvis Duru, Peter Weir, Sanghoon Lee

“…These findings highlight the urgent need for targeted strategies to address long COVID and support patients in recovering their pre-COVID QoL and mental health.…”
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Performance Evaluation Using the Malcolm Baldrige Criteria for Performance Excellence in the AVP Production Department of PT. XYZ by Nikita Dinda Purnamasari, Iriani Iriani

“…XYZ, a seafood processing company under X Group, faces challenges in achieving production targets, with an average realization of 59% in the first half of 2024. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…For the N-BaIoT dataset, the average accuracy of all ensemble approaches is 95.53 % while that for single AI models is 73.82 %. …”
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The nursing service needs of old adults in long term care facilities: current status and associated factors by Haiyan Wu, Peier Lu, Chaoer Wu, Xia Liu

“…Healthcare providers and long-term care facilities should develop and implement targeted interventions to effectively address these needs.…”
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Research on Mobile Advertising Users' Propagation Ability Evaluation based on the Neutrosophic Cubic Number Multiple-Attribute Decision-Making by Minming Weng, Ying Long

“…This process helps optimize targeting strategies, improve ad performance, and maximize return on investment by leveraging users with strong propagation potential in mobile advertising ecosystems. …”
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Awareness and barriers of adherence to chronic obstructive pulmonary disease guidelines among respiratory therapists by Nowaf Y. Alobaidi, Abdulelah M. Aldhahir, Ahmed H. Alasimi, Mohammed A. Almeshari, Ali Altoraibili, Aqeel Al-Abdulsalam, Ahmed Almoraihel, Thamer Alabbad, Elyas Alanazi, Rayan A. Siraj, Jaber S. Alqahtani

“…Knowledge level correlated with COPD cases and RT role. Targeted interventions are needed to improve guideline adherence and COPD care.…”
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The Evolution of Cropland Slope Structure and Its Implications for Fragmentation and Soil Erosion in China by Guangjie Liu, Yi Xia, Li Bao

“…The proposed framework offers a spatially explicit perspective of cropland slope evolution and supports targeted strategies for land management and ecological restoration.…”
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Machine Learning-Enriched Cybersecurity in Smart Grids by G. Amritha, Manjula G. Nair, Fabrizio Granelli

“…A smart grid is one of the critical infrastructures that, when targeted by a cyber-attack, could have disastrous effects on the economy and disrupt the lives of the population. …”
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BioImpedance Spectroscopy to maintain Renal Output: the BISTRO randomised controlled trial by Simon J Davies, David Coyle, Elizabeth Lindley, David Keane, John Belcher, Fergus Caskey, Indranil Dasgupta, Andrew Davenport, Ken Farrington, Sandip Mitra, Paula Ormandy, Martin Wilkie, Jamie MacDonald, Mandana Zanganeh, Lazaros Andronis, Ivonne Solis-Trapala, Julius Sim

“…Limitations The trial did not recruit to target (85%), and the number of primary outcomes was fewer than predicted. …”
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Population dynamics of Tricentrus sp. and detection of jujube witches'-broom phytoplasma in a Shandong jujube orchard by LI Yong, WEI Jingwei, YU Guoyue, TAN Jing, PEI Guangying, LI Shu, YANG Fan

“…The presence of phytoplasma was confirmed by observing target-specific bands in the second round of amplification. …”
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AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer by Pierre-Antoine Bannier, Charlie Saillard, Philipp Mann, Maxime Touzot, Charles Maussion, Christian Matek, Niklas Klümper, Johannes Breyer, Ralph Wirtz, Danijel Sikic, Bernd Schmitz-Dräger, Bernd Wullich, Arndt Hartmann, Sebastian Försch, Markus Eckstein

“…In this work, we demonstrate that our model achieves high sensitivity (>93%) on advanced and metastatic cases while reducing molecular testing by 40% on average, thereby offering a cost-effective and rapid pre-screening tool for identifying patients eligible for FGFR3 targeted therapies.…”
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X–ray–sensitive drug delivery model based on citrate–modified Tb–doped hydroxyapatite nanoparticles for photopharmacology and photodynamic therapy by Oleksandr D. Shchehlov, Аndrii P. Kusyak, Аlla L. Petranovska, Danylo I. Kravchuk, Ruslan M. Kravchuk, Yaroslav M. Shuba, Petro P. Gorbyk

“…This study develops and investigates a novel model for targeted drug delivery using X–ray–induced luminescence. …”
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Revisiting hospital patient safety culture in China: a nationwide network analysis by Haoning Shi, Zhiyu Chen, Xingyao Du, Jing Jiang, Ying Peng, Chunni Wang, Shuangjiang Zheng, Qi Huang, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

“…This study aims to identify key improvement targets in China’s PSC to promote a safer healthcare environment. …”
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Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography by Jonathan Bouvette, Hsuan-Fu Liu, Xiaochen Du, Ye Zhou, Andrew P. Sikkema, Juliana da Fonseca Rezende e Mello, Bradley P. Klemm, Rick Huang, Roel M. Schaaper, Mario J. Borgnia, Alberto Bartesaghi

“…However, the need to compensate for errors in targeting introduced during mechanical navigation of the specimen significantly slows down tomographic data collection thus limiting its practical value. …”
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Comparison of Working Memory, Cognitive Flexibility, and Sustained Attention in People with Previous COVID-19 Infection Who Have Recovered with Non-Infected Counterparts by Faezeh Sarabadan, Somayeh Pour Mohammadi

“…Results: The recovered COVID-19 group had an average age of 40.57, while controls averaged 36.57. …”
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