TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…Specifically, in the first phase, we incorporate a contrastive learning framework to maximize the mutual information between the source and target domains. …”
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Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

“…To analyze the future development of meat cold chain logistics monitoring technology combined with sensors, narrowband internet of things, machine learning, and blockchain, and to provide theoretical support for the research and application of China's cold chain logistics monitoring technology.…”
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Ophthalmologists’ and patients’ perspectives on treatments for diabetic retinopathy and maculopathy in Vietnam: a descriptive qualitative study by Tunde Peto, Nathan Congdon, Lynne Lohfeld, Hoang Tran, Katie Curran, Van Thu Nguyen, Tung Thanh Hoang, Hue Thi Nguyen, Quan Nhu Nguyen, Catherine Dardis, Hoang Huy Tran, Anh Tuan Vu, Mai Quoc Tung

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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

“…In total, 171 pre-operative clinical features are used to train six machine-learning models for post-operative outcomes prediction. …”
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New bitongling regulates gut microbiota to predict angiogenesis in rheumatoid arthritis via the gut-joint axis: a deep neural network approach by Yin Guan, Xiaoqian Zhao, Yun Lu, Yue Zhang, Yan Lu, Yue Wang

“…The study employed 16S ribosomal DNA (16S rDNA) sequencing to analyze gut microbiota composition, machine learning techniques to identify characteristic microbial taxa, and transcriptomic analysis (GSVA) to assess the impact on the VEGF signaling pathway. …”
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PENGEMBANGAN KIT PRAKTIKUM ELEKTRONIKA DASAR II BERBASIS SIMULATOR PROTEUS UNTUK MENINGKATKAN KEMAMPUAN MAHASISWA DALAM PEMECAHAN MASALAH by Suwardi Suwardi, Erik Ayatullah, Haidul Haidul

“…The feasibility of the practicum kit as a learning media in a laboratory based on expert validation is 82.50% (very feasible) and based on the user is 82, 64% (very feasible).   …”
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Mobile application adjunct to the WHO basic emergency care course: a mixed methods study by Juma A Mfinanga, Hendry R Sawe, Anya L Greenberg, Andrea G Tenner, Alexandra Friedman, Paulina Nicholaus, Christian C Rose, Newton Addo, Catherine Reuben Shari, Upendo N George, Michael J Losak

“…Objectives The WHO developed a 5-day basic emergency care (BEC) course using the traditional lecture format. However, adult learning theory suggests that lecture-based courses alone may not promote long-term knowledge retention. …”
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Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) by Gerald McGwin, Linda M Zangwill, Nicholas Evans, Shannon McWeeney, Cecilia S Lee, Bhavesh Patel, Jeffrey C Edberg, Cynthia Owsley, Aaron Lee, Cecilia Lee, Sally L Baxter, Michael Snyder, Samantha Hurst, Nicole Ehrhardt, Christopher Chute, Dawn S Matthies, Julia P Owen, Amir Bahmani, Sally Baxter, Edward Boyko, Aaron Cohen, Jorge Contreras, Garrison Cottrell, Virginia de Sa, Jeffrey Edberg, Irl Hirsch, Michelle Hribar, T.Y. Alvin Liu, Bonnie Maldenado, Sara Singer, Bradley Voytek, Joseph Yracheta, Linda Zangwill

“…Introduction Artificial Intelligence Ready and Equitable for Diabetes Insights (AI-READI) is a data collection project on type 2 diabetes mellitus (T2DM) to facilitate the widespread use of artificial intelligence and machine learning (AI/ML) approaches to study salutogenesis (transitioning from T2DM to health resilience). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…It was also recommended that KDLG reassess its approach to employee development through benchmarking and hiring professional trainers to ensure equitable access to training opportunities, establishing regular and comprehensive training programs, and fostering a culture that prioritizes continuous learning and professional growth. Failure to address these deficiencies will continue to impede efforts to retain talent and hinder the district’s effectiveness. …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…It was also recommended that KDLG reassess its approach to employee development through benchmarking and hiring professional trainers to ensure equitable access to training opportunities, establishing regular and comprehensive training programs, and fostering a culture that prioritizes continuous learning and professional growth. Failure to address these deficiencies will continue to impede efforts to retain talent and hinder the district’s effectiveness. …”
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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots by Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya

“…To address the transformative effects of ChatGPT on the learning environment, educating teachers and students alike about its capabilities and limitations will be crucial.…”
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Vision-based manipulation of transparent plastic bags in industrial setups by F. Adetunji, F. Adetunji, A. Karukayil, A. Karukayil, P. Samant, P. Samant, S. Shabana, S. Shabana, F. Varghese, F. Varghese, U. Upadhyay, U. Upadhyay, R. A. Yadav, R. A. Yadav, A. Partridge, E. Pendleton, R. Plant, Y. R. Petillot, Y. R. Petillot, M. Koskinopoulou, M. Koskinopoulou

“…Integrating autonomous systems, including collaborative robots (cobots), into industrial workflows is crucial for improving efficiency and safety.MethodsThe proposed system employs advanced Machine Learning algorithms, particularly Convolutional Neural Networks (CNNs), for identifying transparent plastic bags under diverse lighting and background conditions. …”
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A satellite-based analysis of semi-direct effects of biomass burning aerosols on fog and low-cloud dissipation in the Namib Desert by A. Mass, A. Mass, H. Andersen, H. Andersen, J. Cermak, J. Cermak, P. Formenti, E. Pauli, E. Pauli, J. Quinting

“…These processes are thought to be driven by greenhouse warming as a result of the moisture in the BBA plumes and BBA absorption (only during the daytime). A statistical learning framework is used to quantify meteorological and BBA influences on FLC dissipation time. …”
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The method and practice of clinical teaching for nursing students in the endocrinology department of Traditional Chinese Medicine hospital (中医院内分泌科实习护生临床带教方法研究与实践)... by YUAN Zheng (袁铮), CHEN Yuanyuan (陈媛媛), LI Wei (李伟)

“…Conclusion The case-based teaching method is effective to improve nursing students’ motivation in learning and clinical practice skills. (目的 探讨中医院内分泌科实习护生临床带教方法, 提高内分泌科临床教学质量。…”
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Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

“…<p>The development of high-resolution mapping models for forest attributes based on remote sensing data combined with machine or deep learning techniques has become a prominent topic in the field of forest observation and monitoring. …”
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Circular RNA circ-Olfm1 induces progression of Alzheimer’s disease by regulating FOXO3a by YANG Hongyan, LIAO Qirong, HOU Mingliang

“…These differentially expressed genes are mainly involved in signal transduction, learning and memory and other functions. circ-Olfm1 was identified as the most significantly differentially expressed circRNA, which is highly expressed in the neurons and up-regulated in the cerebral cortex and hippocampus of the AD mice. …”
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Integration of single-cell transcriptomics and bulk transcriptomics to explore prognostic and immunotherapeutic characteristics of nucleotide metabolism in lung adenocarcinoma by Kai Zhang, Kai Zhang, Luyao Wang, Huili Chen, Lili Deng, Mengling Hu, Ziqiang Wang, Yiluo Xie, Chaoqun Lian, Xiaojing Wang, Xiaojing Wang, Jing Zhang

“…Genes associated with LUAD prognosis were identified using univariate COX analysis, and a prognostic risk model was constructed using the machine learning combination of Lasso + Stepcox. The model’s predictive validity was evaluated using KM survival and timeROC curves. …”
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Examining internet use for health information seeking and influencing factors among undergraduate health science students in Southwest Ethiopia by Alex Ayenew Chereka, Fikadu Wake Butta, Addisalem Workie Demsash, Sisay Yitayh Kassie, Adamu Ambachew Shibabaw, Abiy Tasew Dubale, Geleta Nenko Dube, Mekonnen Kenate Hunde, Wubalem Dilie Limeneh, Amare Dagnew Fentahun, Milkias Dugassa Emanu, Mekashaw Tareke Abebe, Gemeda Wakgari Kitil

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Fiber-optic system for monitoring stability of quarry slopes by P. Sh. Madi, А. D. Аlkina, A. V. Yurchenko, A. D. Mekhtiyev, R. Zh. Aimagambetova

“…A hardware-software control complex has also been developed with a wide range of elements that allows you to adjust sensitivity and has machine learning elements.…”
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Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data by Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu, Zhengbo Zhang

“…This study leverages wearable technology and machine learning algorithms to preoperatively identify high-risk individuals, thereby enhancing clinical decision-making for the mitigation of PPCs. …”
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