Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…Modern computer systems are becoming increasingly complex. …”
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Simulation of Control System Operation for D.C. Electric Drive Using CoDeSys Programming Medium by S. O. Novikov

“…Its main purpose is to program a PLC and industrial computers in the IEC 61131-3 standard. …”
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Performing Chest X-Rays at Inspiration in Uncooperative Children: The Effect of Exercises with a Training Program for Radiology Technicians by Heinz-Jakob Langen, Christiane Kohlhauser-Vollmuth, Corinna Sengenberger, Johann Bielmeier, Renate Jocher, Martina Eschmann

“…It is difficult to acquire a chest X-ray of a crying infant at maximum inspiration. A computer program was developed for technician training. …”
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Evaluating Usability and Accessibility of Visual Programming Tools for Novice Programmers—The Case of App Inventor, Scratch, and StarLogo by Kamil Żyła, Kinga Chwaleba, Dominik Choma

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The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China by Lan-Wei Guo, Zhang-Yan Lyu, Yin Liu, Qing-Cheng Meng, Li-Yang Zheng, Qiong Chen, Hui-Fang Xu, Rui-Hua Kang, Shu-Zheng Liu, Shao-Kai Zhang

“…Abstract Objective Low dose computed tomography (LDCT) screening has been proven to be effective in reducing lung cancer mortality, but the ensuing high false-positive and overdiagnosis rates shackle the effectiveness of lung cancer screening (LCS) in China. …”
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Retracted: Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality by Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal, Yousef Ibrahim Daradkeh, Mohammad Shabaz

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ADVANCED MEDICAL INFORMATION TECHNOLOGY 1.0 PROGRAM APPLICATION IN THE ANALYSIS OF PATIENTS WITH THE AGE-RELATED MACULAR DEGENERATION by Ye. V. Melehin, Yu. I. Khoroshikh, A. A. Krylova

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Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems by Mohamed A. El Sayed, Farahat A. Farahat, Mohamed A. Elsisy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh

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Enhancing the students’ perception of machine learning methods-based drug formulation using R_programming educational protocols by Rania M. Hathout, Shaimaa S. Ibrahim

“…Objective The objective of this study was to assess the enhancement of non-computer sciences-based students’ perception of the use of machine learning methods such as PCA and HCA using R-programming in drug formulation. …”
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Digital imaging and vision analysis in science project improves the self-efficacy and skill of undergraduate students in computational work. by Tessa Durham Brooks, Raychelle Burks, Erin Doyle, Mark Meysenburg, Tim Frey

“…In many areas of science, the ability to use computers to process, analyze, and visualize large data sets has become essential. …”
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Program Start Bias Grouping to Compensate for the Geometric Property of a String in 3-D NAND Flash Memory by Sungju Kim, Sangmin Ahn, Sechun Park, Jongwoo Kim, Hyungcheol Shin

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A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique by Muhammad Murtadha Othman, Nurulazmi Abd Rahman, Ismail Musirin, Mahmud Fotuhi-Firuzabad, Abbas Rajabi-Ghahnavieh

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Addressing the Artificial Intelligence (AI) Talent Gap: Outcomes of the First U.S. Nationally-Registered AI Apprenticeship Program by Carla C. Johnson, Sera Harold, Jessica Chestnut, Katherine Glover, Janet B. Walton

“…Personal benefits, such as upskilling, career advancement potential, and growth in confidence were all reported outcomes of participation in the program. Though most respondents in this study indicated holding current roles in computer science areas, a majority were seeking to grow their AI content knowledge and skills in order to assume more responsibilities in this growing area or to move into new roles which emphasize AI specifically.…”
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Charting a course: Exploring computational thinking skills in statistics content among junior high school students by Astuti Astuti, Evi Suryawati, Elfis Suanto, Putri Yuanita, Eddy Noviana

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GeneUp: A Program to Select Short PCR Primer Pairs that Occur in Multiple Members of Sequence Lists by G. Pesole, S. Liuni, G. Grillo, P. Belichard, T. Trenkle, J. Welsh, M. McClelland

“…A computer program is presented that selects a small set of short primer pairs for PCR to sample all the sequences in a user-specified list of mRNAs. …”
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A note on “Study on multi-objective linear fractional programming problem involving pentagonal intuitionistic fuzzy number” by Hassan Hassanpour, Javad Tayyebi

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Possibilities of CoDeSys Programming System during Software Development and Designing of Micro-Processor Control Systems by S. O. Novikov

“…Its main purpose is to program PLC and industrial computers in accordance with the IEC 61131-3 standard. …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…This study introduces a novel machine learning-based approach incorporating bilevel programming methods to optimize predictive models for UQoL. …”
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Training the next generation of Biostatisticians in West Africa: The Vanderbilt Nigeria Biostatistics Training Program (VN-BioStat) by Bryan E. Shepherd, Nafiu N. Hussaini, Donna J. Ingles, Chelsea van Wyk, Holly M. Cassell, C. William Wester, Muktar H Aliyu

“…The Vanderbilt-Nigeria Biostatistics Training Program (VN-BioStat) seeks to establish a research and training platform for biostatisticians doing HIV-related research in Nigeria. …”
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Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial by Hongzhi Guo, Jianwei Cao, Shichun He, Meiqi Wei, Deyu Meng, Ichen Yu, Ziyi Wang, Xinyi Chang, Guang Yang, Ziheng Wang

“…ObjectiveWe designed a strength training and tai chi exercise hybrid program to improve sarcopenia in older people. Moreover, explainable artificial intelligence was used to predict postintervention sarcopenic status and quantify the feature contribution. …”
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