Global diversity and phylogeny of Incrustoporiaceae (Polyporales, Basidiomycota) with an emphasis on Skeletocutis by Zhan-Bo Liu, Hong-Gao Liu, Josef Vlasák, Genevieve M. Gates, Zhen-Hao Li, Yu-Cheng Dai, Yuan Yuan

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The incidence rate of caries on individual tooth surfaces and its distribution by age and gender in clinic patients of Hawler Medical University/College of Dentistry: a retrospecti... by Niaz Hamaghareeb Hamasaeed, Eman Kanabi Mohammed, Kazhin Mahmood Omer, Rayan Amir Bapir

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Implementation of the C4.5 Algorithm in Predicting the Interest of Prospective Students in Choosing Higher Education by Bambang Triraharjo, Prilian Ayu Minarni, Baskoro

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

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Plasma galectin-3 can be considered as a non-invasive marker to predict the prognosis of ACLF patients with new typing by Li Bai, Wang Lu, Qi Yang, Xiaoxuan Liu, Yu Chen, Zhongping Duan

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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

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Improvement of Early Recognition of Attacks in Karate Kumite Due to Training in Virtual Reality by Katharina Petri, Nicole Bandow, Steffen Masik, Kerstin Witte

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Evaluation of energy generation potential from municipal solid waste in the North-West province, South Africa by Mapereka Francis Chagunda , Ruhiiga Tabukeli Musigi , Palamuleni Lobina Gertrude *

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Clinical features, pathological characteristics, and prognosis of patients with IgA nephropathy complicated with nephrotic syndrome by Li Tan, Lu-Hua Jin, Yi-Qin Wang, Wei Chen, Qiong Wen

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Detection of mite infested saffron plants using aerial imaging and machine learning classifier by Hossein Sahabi, Jalal Baradaran-Motie

“…Also, the accuracy of the developed models when evaluated in the field with respect to the confusion matrix method was 75.6% and 80.3% for the classification models for NIR and RGB images, respectively. …”
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Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Bu... by Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

“…This research aims to improve the detection of electricity theft through a machine learning-based model utilizing the Support Vector Machine (SVM) classification technique. The goal is to enhance the P2TL mechanism by accurately identifying potential targets for field verification. …”
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Analysis of Mammography BI-RADS Distribution and Follow-up Ultrasound Assessment: A Single-Center Study by Kankaya B, Buyukasik S, Altundal YE, Topcu FS, Rahmanbakhsh P, Etemad A, Kapan S, Alis H

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Immunohistochemistry‐based molecular subtypes of urothelial carcinoma derive different survival benefit from platinum chemotherapy by Csilla Olah, Oleksandr Shmorhun, Gilbert Georg Klamminger, Josefine Rawitzer, Lara Sichward, Boris Hadaschik, Mulham Al‐Nader, Ulrich Krafft, Christian Niedworok, Melinda Váradi, Peter Nyirady, Andras Kiss, Eszter Szekely, Henning Reis, Tibor Szarvas

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Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma by Minh-Khang Le, Masataka Kawai, Kenta Masui, Takashi Komori, Takakazu Kawamata, Yoshihiro Muragaki, Tomohiro Inoue, Ippei Tahara, Kazunari Kasai, Tetsuo Kondo

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Differential Prognosis of True Bifurcation Lesions According to Left Main Versus Non–Left Main Location and Treatment Strategy by Ki Hong Choi, Chang‐Wook Nam, Francesco Bruno, Yun‐Kyeong Cho, Leonardo De Luca, Jeehoon Kang, Alessio Mattesini, Young Bin Song, Alessandra Truffa, Hyo‐Soo Kim, Wojciech Wańha, Woo Jung Chun, Sebastiano Gili, Gerard Helft, Seung Hwan Han, Bernardo Cortese, Cheol Hyun Lee, Javier Escaned, Hyuck‐Jun Yoon, Alaide Chieffo, Joo‐Yong Hahn, Guglielmo Gallone, Seung‐Hyuk Choi, Gaetano De Ferrari, Bon‐Kwon Koo, Giorgio Quadri, Seung‐Ho Hur, Fabrizio D'Ascenzo, Hyeon‐Cheol Gwon, Ovidio de Filippo

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Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment by Tianyi Wang, Takuya Sakamoto, Yu Oshima, Itsuki Iwata, Masaya Kato, Haruto Kobayashi, Manabu Wakuta, Masako Myowa, Tokomo Nishimura, Atsushi Senju

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Infantile (congenital) anaplastic intracranial solitary fibrous tumor/hemangiopericytoma—A case report with brief literature review by Mohapatra Debahuti, Lenka Anasuya, Deo R. Chandra, Das Prateek

“…The immunohistochemistry showed vimentin, CD 34, STAT6, CD99 positivity whereas Glial fibrillary acidic protein, Epithelial membrane antigen, and S-100 negativity. …”
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Multivariate Statistical Analysis for the Classification of Sausages Based on Physicochemical Attributes, Using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) a... by Quang Minh Bui, Quang Trung Nguyen, Thanh Thao Nguyen, Ha My Nguyen, Thi Tinh Phung, Viet Anh Le, Ngoc Minh Truong, The Vinh Mac, Tien Dat Nguyen, Le Tuan Anh Hoang, Ha Minh Duc Tran, Van Nhan Le, Minh Duc Nguyen

“…PCA visualized the distinction of 6 sausage brands on both datasets of ATR-FTIR and ICP-MS. …”
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