Burnout protective patterns among oncology nurses: a cross-sectional study using machine learning analysis by Ana Rocha, Cristina Costeira, Raul Barbosa, Florbela Gonçalves, Miguel Castelo-Branco, Joaquim Viana, Margarida Gaudêncio, Filipa Ventura

“…This study aims to identify burnout profiles and protective socio-demographic and work-related patterns associated with reduced burnout among oncology nurses. …”
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Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning by Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi

Subjects: “…X-ray diffraction pattern…”
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Assessing Smoking Determinants in Students: A Predictive Model Based on Anxiety, Distress, and Sleep Patterns by Chaudhuri Tinni, Ghosh Joyeta, Chakraborty Soma, Kumar Pankaj, Guha Banhi

“…Smoking behaviour is influenced by various psychological and lifestyle factors, including anxiety, distress, and sleep patterns. Understanding these determinants can help in designing effective intervention strategies for smoking cessation among students. …”
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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

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The impact of online food delivery applications on dietary pattern disruption in the Arab region by Radwan Qasrawi, Radwan Qasrawi, Suliman Thwib, Ghada Issa, Malak Amro, Razan AbuGhoush, Maha Hoteit, Maha Hoteit, Sahar Khairy, Narmeen Jamal Al-Awwad, Narmeen Jamal Al-Awwad, Khlood Bookari, Sabika Allehdan, Dalal Alkazemi, Haleama Al Sabbah, Salima Al Maamari, Asma H. Malkawi, Reema Tayyem

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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…Due to ever-shrinking pattern size, these defects are extremely small and cause false or missed detection during inspection. …”
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Co-occurrence patterns based fruit quality detection for hierarchical fruit image annotation by Sangita B. Nemade, Shefali P. Sonavane

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Identifying a Pattern of Predictable Decadal North Pacific SST Variability in Historical Observations by Emily M. Gordon, Noah S. Diffenbaugh

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Face expression recognition using LDN and Dominant Gradient Local Ternary Pattern descriptors by I. Michael Revina, W.R. Sam Emmanuel

“…Also, this paper proposes the Local Directional Number (LDN) pattern, Dominant Gradient Local Ternary Pattern (DGLTP) descriptor for feature extraction and Support Vector Machine (SVM) classifier for classification. …”
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Evaluation of the ABC pathway in patients with atrial fibrillation: A machine learning cluster analysis by Jingyang Wang, Haiyang Bian, Jiangshan Tan, Jun Zhu, Lulu Wang, Wei Xu, Lei Wei, Xuegong Zhang, Yanmin Yang

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Static Pakistani Sign Language Classification using Support Vector Machine by Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif

Subjects: “…Pattern Recognition…”
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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns by Merve Gonca, Mehmet Birol Özel

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Time series analysis of energy usage patterns by Tanzania large power users by Diana Rwegasira, Edward Ngailo, Elimboto Yohana, Noel Masasi

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Analyzing Student Graduation and Dropout Patterns Using Artificial Intelligence and Survival Strategies by Behrouz Alefy, Vahid Babazadeh

“…The study applies state-of-the-art machine learning techniques to establish dominant patterns and offer forecasts using a wide range of student records. …”
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An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–2018 by Qun Tang, Yong Wang, Yan Luo

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Rotational Doppler Signal Classification Based on Support Vector Machine by Song Qiu, Jin Zheng, Minghui Xiong

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Tertiary lymphoid structures-driven immune infiltration patterns and their association with survival in neuroblastoma by Xuelian Liu, Jian Deng, Bingqing Yu, Jiaxiong Tan, Xiaoliang Lu, Minmin Zhang

“…We also studied immune infiltration and gene expression patterns in NB tissues using single-cell sequencing and quantitative real-time polymerase chain reaction (qRT-PCR). …”
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Fourier Transformation-Based Analysis of X-Ray Diffraction Pattern of Keratin for Cancer Detection by Alexander Alekseev, Oleksii Avdieiev, Sasha Murokh, Delvin Yuk, Alexander Lazarev, Daizie Labelle, Lev Mourokh, Pavel Lazarev

“…To analyze the obtained X-ray diffraction patterns of keratin, we propose a method based on the two-dimensional Fourier transformation of the images. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…This article assesses the use of high-resolution Unmanned Aerial Vehicle (UAV) data from commercial field sensors for classifying small-scale agricultural patterns in four crop types (Winter Wheat, Spring Barley, Rapeseed, and Corn) acquired at ground sample distances (GSDs) of 0.027 m, 0.053 m and 0.064 m. …”
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Pattern analysis using lower body human walking data to identify the gaitprint by Tyler M. Wiles, Seung Kyeom Kim, Nick Stergiou, Aaron D. Likens

“…A total of 18 trials per participant were completed between two days, one week apart. Four methods of pattern analysis, a) Euclidean distance, b) cosine similarity, c) random forest, and d) support vector machine, were applied to our basic spatiotemporal variables such as step and stride lengths to accurately identify people. …”
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