Detecting Potential Investors in Crypto Assets: Insights from Machine Learning Models and Explainable AI by Timotej Jagrič, Davor Luetić, Damijan Mumel, Aljaž Herman

“…This study explores the characteristics of individual investors in crypto asset markets using machine learning and explainable artificial intelligence (XAI) methods. …”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…On the other hand, knowledge-based leadership and human resource development have had a positive and constructive impact on the sustainable competitive advantage of companies. …”
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Detection of formal thought disorders in child and adolescent psychosis using machine learning and neuropsychometric data by Przemysław T. Zakowicz, Maksymilian A. Brzezicki, Charalampos Levidiotis, Sojeong Kim, Oskar Wejkuć, Zuzanna Wisniewska, Dominika Biernaczyk, Barbara Remberk

“…Participants underwent neuropsychological assessment using the Iowa Gambling Task (IGT) and Simple Reaction Time (SRT) tasks. A range of machine learning models (Logistic Regression (LR), Support Vector Machines (SVM), Random Forest (RF) and eXtreme Gradient Boosting (XGBoost)) were employed to classify participants into FTD-positive and FTD-negative groups based on these neuropsychological measures and their antipsychotic regimen (medication load in chlorpromazine equivalents).ResultsThe best performing machine learning model was LR with mean +/- standard deviation of cross validation Receiver Operating Characteristic Area Under Curve (ROC AUC) score of 0.850 (+/- 0.133), indicating moderate-to-good discriminatory performance. …”
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DEVELOPMENT OF MOTIVATIONAL POTENTIAL OF COLLEGE STUDENTS IN THE CONTEXT OF FOREIGN LANGUAGE ACQUISITION by Galina Marakhovskaya, Anna Kobysheva

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Turkish medical and pharmacy students’ attitudes towards physician-pharmacist collaboration and readiness for interprofessional learning by Elif Ulutaş Deniz, Rumeysa Eren, Betül Zeybek, Esra Çınar Tanrıverdi

“…Moreover, the willingness of healthcare students to participate in collaborative learning is crucial for the positive impact of interprofessional education on fostering effective collaboration between healthcare professionals. …”
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Diagnosing prostate cancer in the PSA gray zone through machine learning and transrectal ultrasound video by Qin Wu, Chengyi Wu, Maoliang Zhang, Jie Yang, Junxiang Zhang, Yun Jin, Yanhong Du, Xingbo Sun, Liyuan Jin1, Kai Wang, Zhengbiao Hu, Xiaoyang Qi1, Jincao Yao, Zhengping Wang, Dong Xu

“…Background: We developed a machine learning-based predictive model for diagnosing prostate cancer within the gray zone of prostate-specific antigen (PSA) levels, leveraging transrectal prostate ultrasound video clips. …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The main focus of the study is to develop an optimization method that can improve the quality of fruit bunches and minimize waste in the production process. …”
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Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches by Ben Jacobson-Bell, Steve Croft, Carmen Choza, Alex Andersson, Daniel Bautista, Vishal Gajjar, Matthew Lebofsky, David H. E. MacMahon, Caleb Painter, Andrew P. V. Siemion

“…We present Grouping Low-frequency Observations By Unsupervised Learning After Reduction (GLOBULAR) clustering, a signal processing method that uses hierarchical density-based spatial clustering of applications with noise (or HDBSCAN) to reduce the false-positive rate and isolate outlier signals for further analysis. …”
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Detection of <i>Aspergillus flavus</i> in Figs by Means of Hyperspectral Images and Deep Learning Algorithms by Cristian Cruz-Carrasco, Josefa Díaz-Álvarez, Francisco Chávez de la O, Abel Sánchez-Venegas, Juan Villegas Cortez

“…These toxins, produced by fungi like <i>Aspergillus flavus</i> in figs, are often detected late through invasive methods or visual inspection. Since Spain, particularly Extremadura, is a key fig producer, alternative detection methods are essential to preventing aflatoxins in the food chain. …”
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Objective assessment of gait and posture symptoms in Parkinson’s disease using wearable sensors and machine learning by Lingyan Ma, Lingyan Ma, Shinuan Lin, Shinuan Lin, Jianing Jin, Jianing Jin, Zhan Wang, Zhan Wang, Xuemei Wang, Xuemei Wang, Zhonglue Chen, Zhonglue Chen, Yun Ling, Yun Ling, Fei Zhang, Fei Zhang, Kang Ren, Kang Ren, Tao Feng, Tao Feng, Tao Feng

“…This study aims to predict the severity of gait and posture symptoms using data collected from wearable sensors during a single laboratory-based walking assessment, providing an objective, efficient, and automated evaluation approach.MethodsSensor-based gait parameters were collected from 225 PD participants (mean age 63.15 ± 10.46 years) through a standardized walking assessment. …”
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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“… Learning style plays a very important role in determining the success of a person's learning process. …”
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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach by Antonio Belli, Vijay Sawlani, David Davies, Kamal Yakoub, Louise C Yates, Elliot Yates, Xuanxuan Li, Yiping Lu

“…A final composite model accuracy of 94.6% based on the unseen testing subset was obtained, yielding a sensitivity of 100% and specificity of 93.8% with a positive predictive value of 71.4% and a negative predictive value of 100%. …”
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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

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From screen to bench: unpacking the shifts in chemistry learning experiences during the COVID-19 transition by Ramadhani Dimas Gilang, Yamtinah Sri, Saputro Sulistyo, Sarwanto Sarwanto, Masykuri Mohammad

“…The research findings advocate for a blended learning approach, harnessing the strengths of both online and traditional instructional methods. …”
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Understanding continued use of smart learning platforms: psychological wellbeing in an extended TAM-ISCM model by Jinlei Li, Meilin Jin, Xiaowei Chen, Xiaowei Chen

“…While usability and usefulness remain essential, designers must foster emotional engagement and manage trust-based expectations. Platforms that overlook psychological dimensions risk diminishing user satisfaction and long-term retention.ConclusionSustaining engagement with innovative learning platforms in higher vocational education requires a holistic approach that balances functional usability with mental wellbeing. …”
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application by Chao Li, Ji Chen, Mengshi Dong, Hao Yan, Feng Chen, Ning Mao, Shuai Wang, Xiaozhu Liu, Yanqing Tang, Fei Wang, Jie Qin

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Make A Match Learning Model Assisted with Picture Media Improve Students’ Reading Skills by Ni Putu Feny Yuliawati, Ni Wayan Rati, Kadek Suranata

“…Based on the results of hypothesis testing obtained from the results of research on students 'reading difficulties (t-count = 14.60> t-table = 1.69 at a significance level of 5%), and there is a Make A Match type cooperative learning model that is assisted by image media to test students' reading skills (d = 4.91> 0.8), thus it can be concluded that the cooperative learning model of the type of Make A Match aided by media images has a positive effect on students' reading skills. …”
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The Influence of Parental Attention and the Islamic Religious Education Learning Process on the Behavior of Students at Madrasah Diniyah by Musthofa Musthofa

“…Employing a quantitative approach with a survey method, this study utilized correlation and regression analysis techniques. …”
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Development of Kalibataku Fraction Board Media to Improve Student Learning Results and Interest in Fraction Material by Putri Puspitasari, Murtono Murtono, Mulyani Mulyani

“…Also received a positive response from educators who categorized the media as suitable for application in learning.…”
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University service utilization patterns in students with specific learning disabilities: An institutional cross-sectional study. by Syed Mohammed Basheeruddin Asdaq, Mamdouh Saleh Alharbi, Mohanad Abdullah Alansari, Saleh Alshuqayr, Malek Fares Alanazi, Saleh Rajih Alshahrani, Naira Nayeem, Walaa F Alsanie, Abdulhakeem S Alamri, Majid Alhomrani, Amal F Alshammary, Rafiulla Gilkaramenthi

“…<h4>Background/objectives</h4>This study examined the relationship between university students' use of common and specific services and the presence of specific learning disabilities (SLDs). The objective was to identify how sociodemographic factors, health status, and learning disabilities impact service utilization, with a focus on improving accessibility and support for students with SLDs.…”
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