Global map of characterized dust sources using multisource remote sensing data by Ali Darvishi Boloorani, Masoud Soleimani, Ramin Papi, Nastaran Nasiri, Fatemeh Amiri, Najmeh Neysani Samany, Kan Huang, Iraj Gholami, Ali Al-Hemoud

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Machine learning detection of heteroresistance in Escherichia coliResearch in context by Andrei Guliaev, Karin Hjort, Michele Rossi, Sofia Jonsson, Hervé Nicoloff, Lionel Guy, Dan I. Andersson

“…Funding: Funding provided to DIA from the Swedish Research Council (2021-02091) and NIH (1U19AI158080-01).…”
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Development of a Training Content Index System for Pressure Injury Prevention Training Programs for Healthcare Assistants in Tertiary Hospitals by Zhu YY, Zhang CX, Wang L, He JA, Yan JJ, Liu J

“…Yan-Ying Zhu,1,* Cai-Xiang Zhang,1,* Lin Wang,1 Jin-Ai He,2 Jia-Jie Yan,3 Jing Liu4 1Extended Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 2The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 3Center for Bone, Joint and Sports Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China; 4School of Economics and Management, Changjiang Institute of Technology, Wuhan, 430212, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan-Ying Zhu, Extended Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, People’s Republic of China, Tel +86-020-38688204, Email zhuyanying7396@126.comObjective: This study aims to develop an index system for a pressure injury prevention training program specifically designed for healthcare assistants in tertiary hospitals, providing a theoretical basis for training initiatives. …”
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Using artificial neural networks to predict indoor particulate matter and TVOC concentration in an office building: Model selection and method development by Saren Gaowa, Zhen Zhang, Jianchun Nie, Linxiao Li, Han A-ru, Zhili Yu

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Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

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Spore-inspired inhalation drug delivery system for asthma therapy by Mengqi Tong, Xi Kuang, Qiaoying Jiang, Gaoxiang Li, Lulu Jin, Yihao Ye, Yi Pan, Yang Zhu, Xiaozhou Mou, Zhengwei Mao, Yueliang Zheng

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Automatic body condition scoring system for dairy cows in group state based on improved YOLOv5 and video analysis by Jingwen Li, Pengbo Zeng, Shuai Yue, Zhiyang Zheng, Lifeng Qin, Huaibo Song

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Affinity-induced covalent protein-protein ligation via the SpyCatcher-SpyTag interaction by Jacob O. Fierer, Omar E. Tovar-Herrera, Jonathan Y. Weinstein, Amaranta Kahn, Sarah Moraïs, Itzhak Mizrahi, Edward A. Bayer

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Unraveling the dipole field in ultrathin, porous, and defective carbon nitride nanosheets for record-high piezo-photocatalytic H2O2 production by Zhaoqiang Wang, Guixiang Ding, Hongwei Huang, Juntao Zhang, Qi Lv, Li Shuai, Yonghao Ni, Guangfu Liao

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Bibliometric analysis and knowledge mapping of diabetes mellitus combined with tuberculosis research: trends from 1995 to 2023 by Yufeng Li, Yufeng Li, Yufeng Li, Ruizi Ni, Yajing An, Ling Yang, Zhaoyang Ye, Li Zhuang, Linsheng Li, Liang Wang, Liang Wang, Wenping Gong, Wenping Gong

“…BackgroundThe synergistic epidemic of diabetes mellitus and tuberculosis (DM-TB) has created a dual disease burden, challenging global health systems with complex pathophysiological interactions and suboptimal treatment outcomes. …”
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Auto Machine Learning and Convolutional Neural Network in Diabetes Mellitus Research—The Role of Histopathological Images in Designing and Exploring Experimental Models by Iulian Tătaru, Simona Moldovanu, Oana-Maria Dragostin, Carmen Lidia Chiţescu, Alexandra-Simona Zamfir, Ionut Dragostin, Liliana Strat, Carmen Lăcrămioara Zamfir

“…<b>Conclusions:</b> Our research underscores the efficacy of classifying with two AI algorithms, CNN and machine learning.…”
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Evolution and Optimization of the HALP Formula for Predicting Free Flap Failure: A Progressive Analysis of Predictive Accuracy by Gabriele Monarchi, Umberto Committeri, Massimiliano Gilli, Giovanni Salzano, Stefania Troise, Giuseppe Consorti, Roberto Benedetti, Paolo Balercia, Antonio Tullio

“…To optimize the HALP formula, advanced machine learning technologies, mainly the Julius AI platform, were applied. The HALP formula was refined through three phases: the original formula, a weighted version, and the final “Modified HALP.” …”
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Optimizing canopy-spacing configuration increases soybean yield under high planting density by Ruidong Li, Cailong Xu, Zongsheng Wu, Yifan Xu, Shi Sun, Wenwen Song, Cunxiang Wu

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Transient well-test model of a slanted well in a heterogeneous multi-zonal reservoir by Renshi Nie, Letian Zhang, Yu Xiong, Changjian Gan, Tao Zhang, Shanshan Lu, Yangyang Chen, Jie Zhan

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Features of Plagiarism Checking in a Technical University Considering the Possibilities of Application of Generative Artificial Intelligence by Learners by L. A. Zinchenko, E. V. Rezchikova, E. A. Tarapanova

“…A path for checking the materials of graduation thesis for AI plagiarism is proposed. Conclusion. The importance and necessity of checking the originality of the graduation qualification papers for borrowings both the texts of the graduation qualification paper of previous years and the use of texts and programs generated by artificial intelligence systems are outlined. …”
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Assessing aortic motion with automated 3D cine balanced steady state free precession cardiovascular magnetic resonance segmentation by Renske Merton, Daan Bosshardt, Gustav J. Strijkers, Aart J. Nederveen, Eric M. Schrauben, Pim van Ooij

“…Purpose: To apply a free-running three-dimensional (3D) cine balanced steady state free precession (bSSFP) cardiovascular magnetic resonance (CMR) framework in combination with artificial intelligence (AI) segmentations to quantify time-resolved aortic displacement, diameter and diameter change. …”
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Performance of Large Language Models in Numerical Versus Semantic Medical Knowledge: Cross-Sectional Benchmarking Study on Evidence-Based Questions and Answers by Eden Avnat, Michal Levy, Daniel Herstain, Elia Yanko, Daniel Ben Joya, Michal Tzuchman Katz, Dafna Eshel, Sahar Laros, Yael Dagan, Shahar Barami, Joseph Mermelstein, Shahar Ovadia, Noam Shomron, Varda Shalev, Raja-Elie E Abdulnour

“…We benchmarked a dataset of 24,000 Q and As on two state-of-the-art LLMs, GPT-4 (OpenAI) and Claude 3 Opus (Anthropic). We evaluated the LLM’s accuracy on semantic and numerical question types and according to sublabeled topics. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…This proposed methodology improved the detection of an imbalanced dataset, although challenges remain in both interpretability and computational complexity. We created a synthetic dataset of 1000 samples using realistic feature ranges that mimic the Rif data region to test model performance and conduct sensitivity analysis. …”
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Bicuspid aortic valve repair using geometric ring annuloplasty: A first-in-humans pilot trialCentral MessagePerspective by J. Scott Rankin, MD, Domenico Mazzitelli, MD, Theodor J.M. Fischlein, MD, Yeong-Hoon Choi, MD, Diana Aicher, MD, Lawrence M. Wei, MD, Vinay Badhwar, MD

“…Leaflets were reconstructed using plication/cleft closure, creating an effective height of ≥8 mm, even if modest gradients were induced. …”
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