Uptake and acceptability of oral HIV self-testing in the context of assisted partner services in Western Kenya: A mixed-methods analysis. by Victor Mudhune, Unmesha Roy Paladhi, Mercy Owuor, Kenneth Ngure, David A Katz, George Otieno, Monisha Sharma, Sarah Masyuko, Edward Kariithi, Carey Farquhar, Rose Bosire

“…Descriptive and log-binomial regression analyses were performed controlling for health facility clusters, while IDIs were thematically analyzed applying the theoretical framework of acceptability. …”
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Multi-stage bidirectional informed-RRT * plant protection UAV path planning method based on A * algorithm domain guidance by Jian Li, Jian Li, Yuan Gao, Yuan Gao, Zheng Li, Zheng Li, Weijian Zhang, Weijian Zhang, Weilin Yu, Weilin Yu, Yating Hu, He Liu, Changtian Li

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Comparative evaluation of various DNA extraction methods and analysis of DNA degradation levels in commercially marketed Chestnut rose juices and beverages by Yongchao Ren, Yunlong Ma, Yanqi Li, Yun Song, WeiWei Zhao, Xuncai Huang, Danmin Yu, Jian Li, Zuogang Xu, Wenjun Zhao

“…This study aimed to optimize and compare four DNA extraction methods for Chestnut rose juices and beverages. …”
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Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case by Burak Kaynaroglu, Mindaugas Zilius, Rasa Idzelytė, Artūras Razinkovas-Baziukas, Georg Umgiesser

“…However, we challenged this assumption by initiating the inverse problem at different locations in the parameter space using a robust variant of a gradient-based method, which ultimately resulted in a better fit than global methods.We tested four different optimization algorithms available in the PEST and PEST++ suites. …”
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Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method by Xiangyi Wang, Yingbin He, Yan Zha, Huicong Chen, Yongye Wang, Xiuying Wu, Jiong Ning, Anran Feng, Shengnan Han, Shanjun Luo

“…The Dynamic Threshold (DT) method commonly used in phenology and winter fallow land studies often employs empirically set subjective thresholds. …”
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Investigating the learning value of early clinical exposure among undergraduate medical students in Dubai: a convergent mixed methods study by Reem Al-Jayyousi, Nour Abu Mahfouz, Farah Otaki, Agnes Paulus, Katarzyna Czabanowska, Qamar Zaman, Masa AlAshkar, Adrian Stanley, Paddy Kilian

“…Methods A convergent mixed methods study design was utilized. …”
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Peak-to-average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization-based partial transmit sequence model by Vandana Tripathi, Prabhat Patel, Prashant Kumar Jain, Shailja Shukla

“…Among the available methods, partial transmit sequence (PTS) is an efficient PAPR reduction method but can be computationally expensive while deter-mining optimal phase factors (OPFs). …”
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Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education by Chung Man Ho, Shaowei Guan, Prudence Kwan-Lam Mok, Candice HW Lam, Wai Ying Ho, Calvin Hoi-Kwan Mak, Harry Qin, Arkers Kwan Ching Wong, Vivian Hui

“… BackgroundPerioperative education is crucial for optimizing outcomes in neuroendovascular procedures, where inadequate understanding can heighten patient anxiety and hinder care plan adherence. …”
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Unmanned trackless rubber wheeler based on LD improved Cartographer mapping algorithm underground SLAM autonomous navigation method and test by Fangwei LI, Jiusheng BAO, Chen WANG, Xiaoming YUAN, Yan YIN, Shirong GE, Maosen WANG, Yuhan LV

“…However, the current research in this field is still in its infancy, especially the lack of SLAM autonomous navigation method for the special harsh environment of underground roadways. …”
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AI-driven digital twin for autonomous web tension control in Roll-to-Roll manufacturing system by Anton Nailevich Gafurov, Sooyoung Lee, Uzair Ali, Muhammad Irfan, Inyoung Kim, Taik-Min Lee

“…To address these challenges, this study proposes an AI-driven digital twin framework for autonomous web tension control optimization. The proposed method integrates Bayesian optimization with Gaussian process modeling to efficiently explore and adjust proportional and integral control parameters. …”
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Goal-Oriented Learning in Private Music Education: Case Study on Piano, Keyboard, and Drums by Piter Sembiring, Marsel Ridky Maulana, Asep Rizwan Nurfalah, Al Muqri

“…Research Implications – This study highlights the importance of structured learning in private music education while acknowledging its potential constraints. Future research should explore ways to balance goal-oriented instruction with creative exploration to optimize learning outcomes. …”
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Investigation of statistical methods used in prognostic prediction models for obstetric care: A 10 year‐span cross‐sectional study by Jing Tan, Chunrong Liu, Min Yang, Yiquan Xiong, Shiyao Huang, Yana Qi, Meng Chen, Lehana Thabane, Xinghui Liu, Lin He, Xin Sun

“…In light of these findings, 10 recommendations were formulated to promote the appropriate use of statistical methods. Conclusions The use of statistical methods is not yet optimal. …”
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Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

“…Code is available at https://github.com/arafet/Text-annotation-using-rule-based-method-and-Transformers.…”
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Cost-effective IE2 high-efficiency single-phase induction motor design and prototyping by Ufuk Muhammed Deveci, Engin Ayçiçek

“…The reduction of losses was achieved through the optimization of winding, and a finite element method (FEM) was employed in the modeling process. …”
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A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

“…Artificial Intelligence continues to demand robust and adaptable training methods for neural networks, particularly in scenarios involving limited computational resources or noisy, complex data. …”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

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Practices for improving labour productivity in the extractive industry by Ruslan A. Dolzhenko, Svetlana B. Dolzhenko

“…The work employs general empirical research methods, as well as the case study method. It draws upon data from a large mining processing plant in Sverdlovsk oblast (Russia) for 2022–2023. …”
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Cosmological Simulations with Massive Neutrinos: Efficiency and Accuracy by Bing-Hang Chen, Jun-Jie Zhao, Hao-Ran Yu, Yu Liu, Jian-Hua He, Yipeng Jing

“…We explore the necessity of correcting the expansion history caused by massive neutrinos and the transition between relativistic and non-relativistic components. The above method of including neutrino masses is built into the memory-, scalability-, and precision-optimized parallel <i>N</i>-body simulation code CUBE 2.0. …”
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Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard (<i>Brassica juncea</i> L.) Based on Discrete Element Method by Man Gu, Haiyang Shen, Weiwen Luo, Jie Ling, Bokai Wang, Fengwei Gu, Shumin Song, Liang Pan, Zhichao Hu

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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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