Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

“…We evaluated Polivr using anonymised repositories collected from undergraduate computing courses. The resulting visualisations revealed trends and patterns in student learning behaviours, such as coding habits and progression over time. …”
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Discrete variable 3D models in Computer extended Descriptive Geometry (CeDG): Building of polygonal sheet-metal elbows and comparison against CAD by Manuel Prado-Velasco, Laura García-Ruesgas

“…The Computer extended Descriptive Geometry (CeDG) is as a novel approach based on Descriptive Geometry to build 3D models within the framework provided by Dynamic Geometry Software tools. …”
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Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach by Seyyed Hossein Mousavie Anijdan, Daryush Moslemi, Reza Reiazi, Hamid Fallah Tafti, Ali Akbar Moghadamnia, Reza Paydar

“…Examining the response to treatment is one of the most important factors in the follow-up of patients; therefore, in this study, radiomics patterns derived from pretreatment computed tomography images in rectal cancer and its relationship with treatment response measurement criteria have been investigated. …”
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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. by Mahesh B Nagarajan, Paola Coan, Markus B Huber, Paul C Diemoz, Axel Wismüller

“…Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated as a novel imaging technique that can visualize human cartilage with high spatial resolution and soft tissue contrast. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. …”
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Use Artificial Neural Network Neococcontron in Distinguishing Handwritten Arabic Numerals by Laheeb Ibrahim, Hanan Ali

“…Artificial Neural Networks have wide applications now a day, Among these are in the field of pattern recognition and image processing. This is due to the fact that it has a good performance and advanced mathematical computation power particularly its flexible adaptation to parallelism technique. …”
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The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computin... by Vladimir Tabunshchik, Aleksandra Nikiforova, Nastasia Lineva, Polina Drygval, Roman Gorbunov, Tatiana Gorbunova, Ibragim Kerimov, Cam Nhung Pham, Nikolai Bratanov, Mariia Kiseleva

“…Other pollutants exhibited more complex distribution patterns, influenced by diverse mechanisms associated with local emission sources and atmospheric dynamics.…”
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Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case by Kaili Ding, MBBS, MS, Tracy Z. Lang, BS, Roberta McKean-Cowdin, PhD, Hossein Ameri, MD, PhD, Narsing A. Rao, MD, Brian C. Toy, MD

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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…Methods: We developed a computational algorithm to eliminate contaminated nonembryonic DNA from spent embryo culture medium. …”
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Tumoral vascular pattern in renal cell carcinoma and fat-poor renal angiomyolipoma as a novel helpful differentiating factor on contrast-enhanced CT scan by Seyed Morteza Bagheri, Fatemeh Khajehasani, Iman Fatemi, Mohammad Reza Ayoubpour

“…Our objective was to evaluate the differences between tumoral vascular pattern of renal cell carcinoma and fat-poor angiomyolipoma by contrast-enhanced computed tomography. …”
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Persistence patterns among secondary STEM teachers: a comparative study of Noyce scholar cohorts in face-to-face and blended learning environments amid the pandemic by Terri L. Kurz, Tirupalavanam Ganesh, Jason Covert, Marcia L. Nation

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Information-theoretic bounds for accuracy of letter encoding and pattern recognition via ensembles of datasets M.M. Lange 1, A.M. Lange 1 by M.M. Lange, A.M. Lange

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Lulu Filterized Lin’s correlative Theil-Sen regression-based fully connected deep multilayer perceptive neural network for eye gaze pattern recognition by Rathi K., Srinivasan K.

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The modulation of synoptic weather patterns and human activities on the diurnal cycle of the summertime canopy urban heat island in the Yangtze River Delta Urban Agglomeration, Chi... by T. Shi, T. Shi, Y. Yang, L. Zong, M. Guo, M. Guo, P. Qi, S. Lolli

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Prevalence and antimicrobial susceptibility patterns of Salmonella from apparently healthy slaughtered cattle and abattoir workers at Gondar Elfora abattoir, Central Gondar Zone, E... by Firdyawukal Abuhay Tafere, Melkie Dagnaw Fenta, Mastewal Birhan Atanaw, Elias Melkamu Tsehay, Yelak Hulugeza Mengstu, Atsede Solomon Mebiratu

“…STATA version 14 was used to compute and analyses various data from slaughterhouses, antimicrobial susceptibility test results, and animal samples using descriptive statistics. …”
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Profiling the diversity of the village chicken faecal microbiota using 16S rRNA gene and metagenomic sequencing data to reveal patterns of gut microbiome signatures by Mxolisi Nene, Mxolisi Nene, Nokuthula Winfred Kunene, Rian Pierneef, Rian Pierneef, Rian Pierneef, Khanyisile Hadebe

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Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study by Clement Twumasi, Mikail Aktas, Nicholas Santoni

“… BackgroundRecent advancements in rehabilitation sciences have progressively used computational techniques to improve diagnostic and treatment approaches. …”
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Age-related features of the pattern of lymphocyte subpopulations and functional activity of peripheral blood mononuclear cells in patients with chronic kidney disease before and af... by D. V. Artemov, A. B. Zulkarnaev, A. V. Vatazin

“…Objective: to analyze the features of the pattern of lymphocyte subpopulations and the functional activity of peripheral blood mononuclear cells in older adult patients with chronic kidney disease. …”
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Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature review by Ruoling Gao, Jiaying Liu, Qingdian Cong, Zhilan Huang, Guoping Zhu, Xuan Jin, Jibo Hu

“…The magnetic resonance imaging (MRI) findings were low signal for T1-weighted images (T1WI) and high signal for T2-weighted images (T2WI), and the enhancement pattern of the enhanced scan was similar to that of CT. …”
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Correlation of ovarian volume with fasting plasma insulin levels, and insulin resistance using homeostasis model assessment 2 computational model in women with polycystic ovaries by Vivek V Subhash, Pradeep Ganiga

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