A deep learning algorithm to generate synthetic computed tomography images for brain treatments from 0.35 T magnetic resonance imaging by Luca Vellini, Flaviovincenzo Quaranta, Sebastiano Menna, Elisa Pilloni, Francesco Catucci, Jacopo Lenkowicz, Claudio Votta, Michele Aquilano, Andrea D’Aviero, Martina Iezzi, Francesco Preziosi, Alessia Re, Althea Boschetti, Danila Piccari, Antonio Piras, Carmela Di Dio, Alessandro Bombini, Gian Carlo Mattiucci, Davide Cusumano

“…This study introduces a Deep Learning (DL) algorithm designed to quickly generate synthetic CT (sCT) images from low-field MR images in the brain, an area not yet explored. …”
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Novel approach for noninvasive pelvic floor muscle strength measurement using extracorporeal surface perineal pressure measurement and machine learning modeling by Ui-jae Hwang, Sun-hee Ahn, Hyeon-ju Lee, Yurin Jeon, Myung Jae Jeon

“…Seven ESPP variables were calculated based on ESPP data and intra- and inter-rater reliabilities were assessed. Machine learning algorithms predicted bladder base displacement from ESPP variables. …”
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Emergency online learning during the first Covid-19 period: students’ perspectives from Bosnia and Herzegovina, North Macedonia, Poland and Turkey by Miloshevska Lina, Gajek Elżbieta, Džanić Nihada Delibegović, Hatipoğlu Çiler

“…In addition, we present students’ opinions on the difficulties they experienced, the learning strategies they adopted and what aspects of online learning should remain as a regular educational practice after the pandemic period.…”
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Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation by Chuanren Zhuang, Ruomeng Hu, Ke Li, Zhengshuang Liu, Songjie Bai, Sheng Zhang, Xuehuan Wen

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Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments by Lee KT, Liu WT, Lin YC, Chen Z, Ho YH, Huang YW, Tsai ZL, Hsu CW, Yeh SM, Lin HY, Majumdar A, Chen YL, Kuan YC, Lee KY, Feng PH, Chen KY, Kang JH, Lee HC, Ho SC, Tsai CY

“…Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.Methods: This study prospectively collected home-based sleep parameters from 80 participants over 147 nights using both HSAT and a 24-GHz wireless radar framework. …”
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Penerapan Model Problem Based Learning dan Penggunaan Board Game Career Racing Dalam Peningkatan Kematangan Karier Peserta Didik by Firosalia Kristin, Tritjahjo Danny Soesilo, Yustinus Windrawanto, Aurellia Jeslyn, Adi Nurhidayat

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A Multivariate and Multistage Medium- and Long-Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network by Muhammad Sibtain, Xianshan Li, Snoober Saleem

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Novel Unsupervised Machine Learning Method for Identifying Falling from Height Hazards in Building Information Models through Path Simulation Sampling by Yu Yan, Shen Zhang, Xingyu Wang, Xuechun Li

“…To address this issue, we proposed a new identification method for FFH risk points by incorporating BIM, path simulation, and machine learning techniques. Our approach, based on the likelihood exposure consequence criterion, efficiently identified and prioritized hazardous FFH risk points. …”
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Spatial and social relevance perceptions by pre-service teachers of learning about oil palm management as a local or nonlocal socioscientific issue by Finn Kristen Matthiesen, Gina Nolte, Finn Rehling, I Gede Arjana, Lola Utama Sitompul, Upik Yelianti, Susanne Bögeholz, Susanne Bögeholz

“…IntroductionPre-service teachers (PST)' perceived relevance of learning about environmental socioscientific issues (SSI) can be an indicator for their motivation to act as change agents. …”
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Retracted: Safety Monitoring System and Method for Unmanned Operation of Unmanned Aerial Vehicle Distribution Network Based on Learning Control Robot Technology by Journal of Robotics

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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

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RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks by Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

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Object-Place Recognition Learning Triggers Rapid Induction of Plasticity-Related Immediate Early Genes and Synaptic Proteins in the Rat Dentate Gyrus by Jonathan Soulé, Zsuzsa Penke, Tambudzai Kanhema, Maria Nordheim Alme, Serge Laroche, Clive R. Bramham

“…Here, we examined expression of the plasticity-associated immediate early genes (Arc, Zif268, and Narp) in the dentate gyrus following long-term object-place recognition learning in rats. RT-PCR analysis from dentate gyrus tissue collected shortly after training did not reveal learning-specific changes in Arc mRNA expression. …”
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Percepción y Aceptación del B-Learning en Matemáticas para Ingeniería por Estudiantes: Un Enfoque Basado en TAM by Elia Trejo, Natalia Trejo Trejo

Subjects: “…b-learning…”
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Development of Interactive Multimedia-Based Learning Media for Basic Graphic Design Subjects with the ADDIE Model Guidelines at SMK Negeri 5 Malang by Dania Lazuardi Husen, Admaja Dwi Herlambang, Satrio Hadi Wijoyo

“… This research aims to explain the results of the needs analysis in developing interactive multimedia-based learning media so that it can improve learning outcomes and support the learning interaction process and can motivate students during learning activities. …”
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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

Subjects: “…Machine learning…”
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A Reinforcement Learning-Based Dynamic Clustering of Sleep Scheduling Algorithm (RLDCSSA-CDG) for Compressive Data Gathering in Wireless Sensor Networks by Alaa N. El-Shenhabi, Ehab H. Abdelhay, Mohamed A. Mohamed, Ibrahim F. Moawad

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Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking by Baenil Huda, Irwan Sembiring, Iwan Setiawan, Danny Manongga, Hindriyanto Dwi Purnomo, Hendry Hendry, Ahmad Fauzi, April Lia Hananto, Tukino Tukino

“… Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. …”
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Correction: You don’t know what you’ve got till it’s gone: the changing landscape of UK learned society publishing by Rob Johnson, Elle Malcolmson

“…This article details a correction to: Johnson R, Malcolmson E, “You don’t know what you’ve got till it’s gone: the changing landscape of UK learned society publishing,” Insights, 2024, 37: 16, 1–12; DOI: https://doi.org/10.1629/uksg.664…”
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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…The proposed active learning framework uses Bayesian optimization to inform optimal experimentation in order to adaptively collect the most informative data for effective training of a Gaussian-process-regression-based machine learning model. …”
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