Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…This study examined the preliminary accuracy of machine learning models trained on iPad sensor data to identify the unique user of the device in a sample of children ages 6 to 11. Data was collected opportunistically from nine participants (8.2 ± 1.75 years, 5 female) in the sedentary portion of two semistructured physical activity protocols. …”
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Cesarean section in Suriname using robson classification: a two-year nationwide cross-sectional study on rates, risk factors and perinatal outcomes of cesarean section by Zita D. Prüst, Josephine A. I. Dupont, Safir Liesdek, Kitty W. M. Bloemenkamp, Thomas van den Akker, Kim J. C. Verschueren, Lachmi R. Kodan

“…The highest CS rates were seen among women with a previous CS (69.3%, aOR 16.2, 95% CI 14.4–18.2), BMI > 40 (47.0%, aOR 5.1, 95% CI 4.0–6.5), newborn with a birthweight from or above 4,000 g (37.3%, 2.2, 95% CI 1.6–3.0) and women giving birth at hospital IV (38.5%, aOR 1.8, 95% CI 1.6–2.0). …”
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Pattern of antibiotic dispensing at pharmacies according to access, watch, reserve (AWaRe) classification: multicenter study after COVID-19 waves in different districts of Pakistan by Faiz Ullah Khan, Farman Ullah Khan, Aqsa Sajjad, Tawseef Ahmad, Tauqeer Hussain Mallhi, Sayyad Ali, Kamran Hidayat Ullah, Shahid Shah

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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Ge... by Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim

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Classification of kinesiophobia in patients after cardiac surgery under extracorporeal circulation in China: latent profile and influencing factors analysis from a cross-sectional... by Qi Li, Rong Wang, Yanmei Gu, Tong Ren, Jing Jing Piao, Wenhui Xing, Yujing Liang

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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

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Evaluation of caesarean rates according to Robson classification using a newly developed smart phone application in a tertiary center in Sri Lanka: a comparative study by Chandana Jayasundara, Indunil Piyadigama, Asanka Jayawardane, Ananda Perera

“…Emergency CS constituted 49.6% of all procedures, with cardiotocograph (CTG) abnormalities being the leading indication. …”
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Chemistry Combining Elemental Profile, Stable Isotopic Ratios, and Chemometrics for Fine Classification of a Chinese Herb Licorice (Glycyrrhiza uralensis Fisch.) from 37 Producing... by Zhongying Lu, Chengying Hai, Simin Yan, Lu Xu, Daowang Lu, Yixin Sou, Hengye Chen, Xiaolong Yang, Haiyan Fu, Jian Yang

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Prognostic Value of Invasion, Markers of Proliferation, and Classification of Giant Pituitary Tumors, in a Georeferred Cohort in Brazil of 50 Patients, with a Long-Term Postoperati... by Juliano Coelho de Oliveira Zakir, Luiz Augusto Casulari, José Wilson Corrêa Rosa, João Willy Corrêa Rosa, Paulo Andrade de Mello, Albino Verçosa de Magalhães, Luciana Ansaneli Naves

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Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techn... by Josh Enterkine, Ahmad Hojatimalekshah, Monica Vermillion, Thomas Van Der Weide, Sergio A. Arispe, William J. Price, April Hulet, Nancy F. Glenn

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A novel data augmentation tool for enhancing machine learning classification: A new application of the higher order dynamic mode decomposition for improved cardiac disease identifi... by Nourelhouda Groun, María Villalba-Orero, Lucía Casado-Martín, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

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Data augmentation with occluded facial features for age and gender estimation by Lu En Lin, Chang Hong Lin

“…The proposed augmentation system also improves the age and gender classification accuracy of the slightly modified VGG16 network by 6.20% and 6.31% on the Adience data set, respectively.…”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

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Identification of Gallus Domesticus and Joper Chicken Meat Types Using Glcm Combined With K-NN Method by Mila Jumarlis, Mirfan

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Effect of Different Parameter Values for Pre-processing of Using Mammography Images by Hanife Avcı, Jale Karakaya

“…Parameter values are Gauss filter 𝜎=3, Laplacian filter 𝜎=0.6 and 𝛼=0.6; Ⅱ. Parameter values are Gauss filter 𝜎=1, Laplacian filter 𝜎=2 and 𝛼=2). …”
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Geometric morphometrics approach for classifying children’s nutritional status on out of sample data by Medialdea Laura, Arribas-Gil Ana, Pérez-Romero Álvaro, Gómez Amador

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APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

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The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

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THE SYSTEM OF NORMATIVE LEGAL REGULATION OF ACCOUNTING OF THE RUSSIAN FEDERATION by Z. Korzovatykh, A. Bykova

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MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage by Xiong You, Yiting Shu, Xingcheng Ni, Hengmin Lv, Jian Luo, Jianping Tao, Guanghui Bai, Shusu Feng

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