The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…The unprecedented worldwide pandemic caused by COVID-19 has motivated several research groups to develop machine-learning based approaches that aim to automate the diagnosis or screening of COVID-19, in large-scale. …”
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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

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Communicating with Deaf Patients in the Clinical Environment through Deaf-Hearing Teams: Lessons Learned from a Virtual Patient Panel [version 2; peer review: 2 approved] by Dimitrios Papanagnou, Natalie P. Snyder, Rosemary Frasso, Benedicta O. Olonilua, Julia Croce

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A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC₅₀ Inhibition Values of FLT3 Tyrosine Kinase by Jackson J. Alcázar, Ignacio Sánchez, Cristian Merino, Bruno Monasterio, Gaspar Sajuria, Diego Miranda, Felipe Díaz, Paola R. Campodónico

“…This study aimed to develop a robust and user-friendly machine learning-based quantitative structure–activity relationship (QSAR) model to predict the inhibitory potency (pIC₅₀ values) of FLT3 inhibitors, addressing the limitations of previous models in dataset size, diversity, and predictive accuracy. …”
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PENERAPAN MODEL LEARNING CYCLE 5E DENGAN PENDEKATAN SAINTIFIK UNTUK MENINGKATKAN SIKAP ILMIAH DAN HASIL BELAJAR SISWA PADA KONSEP USAHA DAN ENERGI by Sari Daulay, Dedy Hamdani, Desy Hanisa Putri

“…It was concluded that learning with the application of 5E learning cycle model with scientific approach can improve the scientific attitudes and learning outcomes on work and energy concepts.  …”
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PENGARUH MODEL PROJECT BASED LEARNING (PjBL) PADA KONSEP SISTEM KOORDINASI MANUSIA TERHADAP KETERAMPILAN METAKOGNITIF SISWA KELAS XI SMA NEGERI 4 BANJARMASIN by Aulia Mahfuzah, Siti Ramdiah

Subjects: “…project based learning (pjbl) model…”
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Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot by Ubiracé Fernando Elihimas Júnior, Jamila Pinho Couto, Wallace Pereira, Michel Pompeu Barros de Oliveira Sá, Eduardo Eriko Tenório de França, Filipe Carrilho Aguiar, Diogo Buarque Cordeiro Cabral, Saulo Barbosa Vasconcelos Alencar, Saulo José da Costa Feitosa, Thais Oliveira Claizoni dos Santos, Helen Conceição dos Santos Elihimas, Emilly Pereira Alves, Marcio José de Carvalho Lima, Frederico Castelo Branco Cavalcanti, Paulo Adriano Schwingel

“…However, patients aged ≥60 years maintained enough renal function to remain off dialysis. Moreover, a learning machine application built a robot (Elderly KTbot) to predict in the elderly populations the likelihood of worse renal function one year after KT.…”
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Implementasi Sensor Polar H10 dan Raspberry Pi dalam Pemantauan dan Klasifikasi Detak Jantung Beberapa Individu Secara Simultan dengan Pendekatan Machine Learning  by eko sakti pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…Data tersebut kemudian diprediksi menggunakan model machine learning berbasis random forest yang berjalan pada Raspberry Pi untuk prediksi 5 jenis detak jantung. …”
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Differences in and relationship between digital access, use, connectivity, skill, engagement, and motivation: implications for digital inequality in online learning among first-generation and continuing-generation undergraduate students by Minas Michikyan, Kaveri Subrahmanyam, Pamela Regan, Miguel Ángel Cano, Linda G. Castillo, Audrey Harkness, Seth J. Schwartz

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How coaching interventions impact learning organization culture, knowledge and customer experience performances: A case study comparing Thai car dealers from one US company by Sitthimet Solthong, Xavier Parisot, Vincent Ribiere

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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

Subjects: “…Machine learning…”
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Perbedaan Penggunaan Media Visual Dalam Model Pembelajaran Problem Based Learning Terhadap Kemampuan Menulis Kalimat Aktif dan Pasif Siswa Kelas II Gugus Mawar by Bagas Gea Rivanza, Henny Dewi Koeswanti

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Diagnostic delay in cerebral creatine deficiency disorders: lessons learned from a cross-sectional single center study, and guanidinoacetate and creatine measurements in Switzerland between 2015 and 2023 by Christina Kaufman, Anaïs D’Andrea, Annette Hackenberg, Martin Poms, Olivier Braissant, Johannes Häberle

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Pengaruh model pembelajaran problem based learning berbasis video youtube terhadap hasil belajar ditinjau dari gaya belajar siswa pada pembelajaran IPA sekolah dasar by Rizma Fanilasari, Herlina Usman

“…Penelitian ini bertujuan untuk mengetahui pengaruh seberapa besar pengaruh Model Pembelajaran Problem Based Learning Berbasis Video Youtube Terhadap Hasil Belajar Ditinjau dari Gaya Belajar Siswa Pembelajaran IPA Sekolah Dasar. …”
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Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estimated GFR compared to measured GFR by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

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Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study by Kuganya Nirmalarajah, Patryk Aftanas, Shiva Barati, Emily Chien, Gloria Crowl, Amna Faheem, Lubna Farooqi, Alainna J. Jamal, Saman Khan, Jonathon D. Kotwa, Angel X. Li, Mohammad Mozafarihashjin, Jalees A. Nasir, Altynay Shigayeva, Winfield Yim, Lily Yip, Xi Zoe Zhong, Kevin Katz, Robert Kozak, Andrew G. McArthur, Nick Daneman, Finlay Maguire, Allison J. McGeer, Venkata R. Duvvuri, Samira Mubareka

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L’écriture à l’université : un outil pour conceptualiser by Philippe Clauzard

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ISLAM AND RELIGIOUS MODERATION: THE ROLE OF SCHOOL LABORATORY IN NEGOTIATING RELIGIOUS MODERATION WITHIN THEOLOGICAL PLURALITY by Mohammad Rindu Fajar Islamy

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Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

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A Historical Perspective of Medical Education by Huseyin Balcioglu, Ugur Bilge, Ilhami Unluoglu

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