A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

“…Methods In this study, we propose a generative multi-object segmentation model for brain PET images with two learning protocols. First, we pretrained a latent mapping model to learn the mapping relationship between PET and MR images so that we could extract anatomical information of the brain. …”
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Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin by Ilham Kurniawan, Duwi Cahya Putri Buani, Abdussomad Abdussomad, Widya Apriliah, Rizal Amegia Saputra

“…Tujuan penelitian ini adalah menemukan akurasi tertinggi di antara algoritma klasifikasi prediktif yang diusulkan penerima bantuan raskin menggunakan tools python machine learning dan di implementasikan melalui suatu website. …”
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Preliminary clinical performance of a Cas13a-based lateral flow assay for detecting Neisseria gonorrhoeae in urine specimens by Lao-Tzu Allan-Blitz, Gordon Adams, Gabriela Sanders, Palak Shah, Krithik Ramesh, Jana Jarolimova, Kevin L. Ard, John A. Branda, Jeffrey D. Klausner, Pardis C. Sabeti, Jacob E. Lemieux

“…We also trained a smartphone-based machine-learning model on 1,008 images to classify lateral flow results. …”
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Student Manual Kabale University by Kabale University

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Evaluating dental students’ satisfaction in clinical Periodontics courses at KSAU-HS: a cross-sectional study by Jawaher Abu Wathlan, Hussam Alqahtani

“…The survey covered six categories: learning objectives, course materials, content relevance, instructor knowledge, delivery style, and facility environment. …”
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Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines by Chun-Yen Chung, Wen-Tsai Sung, Lin-Chi Wang, Lailatus Siami, John Paul Santos

“…Because of its mobile nature, the sterilizer could be moved at any time in various learning, research, and activity rooms for disinfection. …”
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An online intelligent electronic medical record system via speech recognition by Xin Xia, Yunlong Ma, Ye Luo, Jianwei Lu

“…The rapid development of deep learning–based speech recognition technology promises to improve this situation. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

“…On this basis, the process of marker feature extraction is summarized, including image processing and marker‐matching technologies. According to the learning approach, force measurement methods are classified into physical and deep learning models. …”
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Methods of developing stress resistance of law enforcement officers at the stage of professional training by V. V. Dotsenko

“…Based on the analysis of various scientific approaches, the methods of developing the ability to handle stress from law enforcers who study in higher education institutions with specific learning conditions are systematized and divided into three branches: prevention, neutralization and correction of stress, and recovery of organism resources. …”
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Identifying threshold concepts in postgraduate general practice training: a focus group, qualitative study by Katherine Hall, Anna Chae

“…Actively incorporating and teaching these identified TCs in PGME in general practice may enable trainees to grasp these important learning thresholds earlier and more easily and aid in identity and role formation.…”
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Fault Diagnosis of Planetary Gearbox Based on Motor Current Signal Analysis by Ziyuan Jiang, Qinkai Han, Xueping Xu

“…The classification results show that the PCA-SVM is the best model for learned data while CNN is the best model for unlearned data on average. …”
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Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering by P. Banerjee, Anurag K. Srivastava, Donald A. Adjeroh, Ramana Reddy, Nima Karimian

“…The responses of ChatGPT are already becoming mainstream and are challenging conventional methods of learning. This article focuses on the application of ChatGPT for academic instructional purposes in the field of computer engineering and related majors. …”
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Internet-based cognitive behavioural therapy for adults with tinnitus in the UK: study protocol for a randomised controlled trial by Peter M Allen, David M Baguley, Gerhard Andersson, Eldré W Beukes, Vinaya Manchaiah

“…If this intervention proves effective, it may be possible that at least some tinnitus sufferers can be managed though an iCBT e-learning treatment programme. This would be cost effective and potentially will free up services for those with more severe problems that need face-to-face treatment.Trial registration number ClinicalTrials.gov; NCT02370810, date 05/03/2015.…”
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Artificial Intelligence and Postpartum Hemorrhage by Sam J Mathewlynn, Mohammadreza Soltaninejad, Sally L Collins, Yang Pan

“…Recently, there has been a surge in interest in using artificial intelligence (AI), including machine learning and deep learning, across many areas of health care. …”
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Correlation Analysis of Japanese Literature and Psychotherapy Effects Based on an Equation Diagnosis Algorithm by Zhang Tingting

“…In this paper, an equation diagnosis algorithm based on iterative learning for a class of linear discrete systems is studied, and the existing discrete iterative learning diagnostics are improved. …”
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Defining Optimal Aerobic Exercise Parameters to Affect Complex Motor and Cognitive Outcomes after Stroke: A Systematic Review and Synthesis by S. M. Mahmudul Hasan, Samantha N. Rancourt, Mark W. Austin, Michelle Ploughman

“…Of the 5,259 titles returned, 52 articles met our criteria, measuring the effects of AE on balance, lower extremity coordination, upper limb motor skills, learning, processing speed, memory, and executive function. …”
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A two‐stage reactive power optimization method for distribution networks based on a hybrid model and data‐driven approach by Ghulam Abbas, Wu Zhi, Aamir Ali

“…In the second stage, leveraging deep learning technology, the real‐time reactive power output of photovoltaics (PV) and wind power units is controlled at a 5‐min time scale throughout the day. …”
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Decomposition of the pangenome matrix reveals a structure in gene distribution in the Escherichia coli species by Siddharth M. Chauhan, Omid Ardalani, Jason C. Hyun, Jonathan M. Monk, Patrick V. Phaneuf, Bernhard O. Palsson

“…We developed a machine learning approach to define the accessory genes characterizing the major phylogroups of E. coli plus Shigella: A, B1, B2, C, D, E, F, G, and Shigella. …”
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Integrating computational thinking practices into early childhood education in culturally responsive ways: Insights from research–practice partnership by Jeanne Hubelbank, Mia Dubosarsky, Shakhnoza Kayumova, Tiffany Davis, Nea Sann, Shawn Fortin, Gillian Smith

“…Our research contributes to this body of knowledge by examining how RPP can be a model for teacher learning in which teachers, administrators, and researchers can co‐develop knowledge and confidence in integrating CT into the PreK‐5 teaching curriculum and practices in CR ways. …”
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Intervention to systematize fall risk assessment and prevention in older hospitalized adults: a mixed methods study by Johann Stuby, Pascal Leist, Noël Hauri, Sanjana Jeevanji, Marie Méan, Carole E. Aubert

“…Results Among 544 clinicians, 59% completed the e-learning, 74% found the intervention useful, and 25% reported an increase in interprofessional team working. …”
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