Model Agile Scrum untuk Pengembangan Sistem Pencarian Dokumen Surat Digital Berbasis Konten Terklasifikasi dengan Ontologi by Rifiana Arief, Suryarini Widodo, Ary Bima Kurniawan, Hustinawaty Hustinawaty, Faisal Arkan

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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Conclusion This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. …”
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Clinical Practice Guidelines for cranioencephalic trauma. by Florencio Pons Moscoso, José Ramón Tejera del Valle, Jorge Luis Ulloa Capestany

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Biology and Management of Spanish Needles (Bidens spp.) in Ornamental Crop Production by Yuvraj Khamare, Stephen Christoper Marble, Shawn T. Steed, Nathan S. Boyd

“…This document focuses on Bidens alba and B. pilosa, which are common weeds in container nurseries and landscapes in Florida. This 6-page EDIS publication, written by Yuvraj Khamare, Chris Marble, Shawn Steed, and Nathan Boyd and published by the UF/IFAS Environmental Horticulture Department, is designed for landowners, gardeners, horticulturalists, and consumers hoping to learn more about Spanish needle classification and management. …”
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Integer Solutions of Integral Inequalities and 𝐻-Invariant Jacobian Poisson Structures by G. Ortenzi, V. Rubtsov, S. R. Tagne Pelap

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How to Start a Food Business: Basic Food Technology: Food Acidity by Soohyoun Ahn, Jayna Goldstein, George Baker, Matthew Krug

“…This new 6-page publication of the UF/IFAS Food Science and Human Nutrition Department describes how to measure food acidity and how food is classified based on its acidity. …”
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ASSESSMENT OF POSSIBLE USE OF CARBON ISOTOPE RATIOS IN AMINO ACIDS FOR MEAT PRODUCT GEOGRAPHICAL ORIGIN IDENTIFICATION by A. I. Solovyev, I. V. Podkolzin

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Anxiety and depression in primary knee osteoarthritis patients: are they related to clinical features and radiographic changes? by Yasmin A. Abd Elhamid, Ghada S. Elazkalany, Marwa H. Niazy, Angie Y. Afifi

“…Medical history was taken, clinical examination was done, and pain intensity was assessed using the Visual Analogue Scale. The 6-minute walk test was used for functional status assessment, and plain X-ray knees were scored according to the Kellgren and Lawrence classification system. …”
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Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network–Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey by Pichsinee Choomung, Yupeng He, Masaaki Matsunaga, Kenji Sakuma, Taro Kishi, Yuanying Li, Shinichi Tanihara, Nakao Iwata, Atsuhiko Ota

“…After adjustment, the actual prevalence of schizophrenia in the general population was estimated to be 1.6% (95% CI 0.7%-2.5%). ConclusionsThis estimated prevalence was slightly higher than that reported in previous studies, possibly due to a more comprehensive disease classification methodology or, conversely, model limitations. …”
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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…An average performance gain of 6.9% is observed compared with traditional features while classifying experience levels of radiologists. …”
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Is Lateral Ligament Complex Repair Necessary in All Unstable Elbow Injuries with Coronoid Fractures? A Comparative Study: A Case Series by Nishaanth Ragavan, Rex Chandrabose

“…Functional outcome was assessed using the Mayo Elbow Performance Score (MEPS) at 6 weeks, 3rd, 6th months, 1, and 2 years. Results: All patients in our study were treated surgically according to Wrightington's classification. …”
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Dysbiosis of Gastric Mucosal Fungal Microbiota in the Gastric Cancer Microenvironment by Zhenzhan Zhang, Hao Feng, Yaopeng Qiu, Zhou Xu, Qingfeng Xie, Wenfu Ding, Hao Liu, Guoxin Li

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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning by Yawen Liu, Haijun Niu, Jianming Zhu, Pengfei Zhao, Hongxia Yin, Heyu Ding, Shusheng Gong, Zhenghan Yang, Han Lv, Zhenchang Wang

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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

“…<i>Materials and Methods:</i> This study included 201 participants with cataracts (47.6% women and 52.4% men), of whom 105 also had diabetes. …”
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Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin by Frank C. Chuang, Matthew D. Richardson, Jennifer L. Whitten, Daniel P. Moriarty, Deborah L. Domingue

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A Pervasive Approach to EEG-Based Depression Detection by Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen, Jürg Gutknecht

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Assessing Methods to Measure Stem Diameter at Breast Height with High Pulse Density Helicopter Laser Scanning by Matthew J. Sumnall, Ivan Raigosa-Garcia, David R. Carter, Timothy J. Albaugh, Otávio C. Campoe, Rafael A. Rubilar, Bart Alexander, Christopher W. Cohrs, Rachel L. Cook

“…We present a tree stem classification method that combines linear shape detection and model-based clustering, using four discrete methods to estimate stem diameter. …”
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Amplitude Modulation Depth Coding Method for SSVEP-Based Brain&#x2013;Computer Interfaces by Ruxue Li, Zhenyu Wang, Xi Zhao, Guiying Xu, Honglin Hu, Ting Zhou, Tianheng Xu

“…A 36-target paradigm based on AMDC strategy was designed and evaluated in terms of user experience and classification performance in Experiment 2. The results show that the proposed paradigm obtains an average classification accuracy of <inline-formula> <tex-math notation="LaTeX">$81.7~\pm ~12.6$ </tex-math></inline-formula>% with an average information transfer rate (ITR) of <inline-formula> <tex-math notation="LaTeX">$45.4~\pm ~11.5$ </tex-math></inline-formula> bits/min. …”
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Identification of Microbial and Proteomic Biomarkers in Early Childhood Caries by Thomas C. Hart, Patricia M. Corby, Milos Hauskrecht, Ok Hee Ryu, Richard Pelikan, Michal Valko, Maria B. Oliveira, Gerald T. Hoehn, Walter A. Bretz

“…The best predictive model had a 6% test error, >92% sensitivity, and >95% specificity. …”
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Scoring of swine lung images: a comparison between a computer vision system and human evaluators by Robert Valeris-Chacin, Beatriz Garcia-Morante, Marina Sibila, Albert Canturri, Isaac Ballarà Rodriguez, Ignacio Bernal Orozco, Ramon Jordà Casadevall, Pedro Muñoz, Maria Pieters

“…A low multiclass classification accuracy at the lung lobe level (24–36%) was observed. …”
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