A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learning by Mazin A. M. Al Janabi

“…In addition, they can be applied to artificial intelligence and machine learning for the policymaking process, reinforcement machine learning techniques for the Internet of Things (IoT) data analytics, expert systems in finance, FinTech, and within big data ecosystems.…”
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A hybrid approach to analyzing factors influencing international student retention in Turkish higher education: integrating fuzzy DEMATEL, machine learning, and statistical methods by Serra Usta Ergun

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Lack of UBE3A-Mediated Regulation of Synaptic SK2 Channels Contributes to Learning and Memory Impairment in the Female Mouse Model of Angelman Syndrome by Jiandong Sun, Yan Liu, Xiaoning Hao, Michel Baudry, Xiaoning Bi

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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

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NEW ROLE FOR THE TEACHER: PREVENT STUDENTS FROM COMPLETELY ABANDONING THEMSELVES TO AI AND RELINQUISHING CONTROL OVER THEIR LEARNING. Illustration for foreign languages for specific purposes by Felicia CONSTANTIN

“…We will present in the article a typical situation for learning a foreign language in the university environment: a non-homogeneous class in terms of language level, motivation, or degree of attendance of the courses by the students. …”
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Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

“…Here we report a novel learning-based ultrafast 3D imaging technique, termed single-shot super-resolved FPP (SSSR-FPP), which enables ultrafast 3D imaging at 100,000 Hz. …”
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A Critical Need for Advanced Practice Nurse Education in Sub‐Saharan Africa and Lessons Learned From the COVID‐19 Pandemic: A Discursive Review by Jacqueline Itambo, Brenda Owusu, Danielle McCamey, Diana‐Lyn Baptiste

“…Conclusion This discursive paper underscores the critical role of advanced practice nurse education in Sub‐Saharan Africa as a proactive strategy to strengthen the healthcare workforce and systems. The lessons learned from the COVID‐19 pandemic highlight the urgency to invest in advanced practice nurse education and training programmes in the region. …”
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Penerapan Discovery Learning Model dengan Pendekatan Saintifik untuk Meningkatkan Kemampuan Berpikir Kritis Siswa pada Konsep Kalor dan Perpindahan Kalor by Desta Kartikasari, Rosane Medriati, Andik Purwanto

“…Kata Kunci      : Discovery Learning Model, Pendekatan Saintifik, Kemampuan Berpikir Kritis,  Aktivitas Belajar Siswa …”
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Penerapan Model Problem Based Learning Berbasis Laboratorium untuk Meningkatkan Keterampilan Proses Sains Peserta Didik di SMAN 10 Kota Bengkulu by Pina Sellavia, Nyoman Rohadi, Desy Hanisa Putri

“…Kata kunci: Problem Based Learning berbasis laboratorium, aktivitas belajar   peserta didik, keterampilan proses sains peserta didik.…”
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Corrections to “Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing” by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

“…Presents corrections to the paper, (Corrections to “Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing”).…”
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Development of Teacher Beliefs through Online Instruction: A One-Year Study of Middle School Science and Mathematics Teachers’ Beliefs About Teaching and Learning by Sissy S. Wong

“…When types of beliefs were disaggregated, participants’ beliefs about teaching and beliefs about learning both veered towards more student-centered position. …”
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Analyse de l’impact du conformisme social sur l’adoption de l’e-learning dans un pays en développement by Novice Patrick Bakehe, Jules Mandeng Ma Ntamack, Roukiya Hassan

Subjects: “…e-learning…”
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Letter to the editor regarding ‘Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models’ by Ning Zhuo, Gang Wang, Gang Wu

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Maternal Aerobic Exercise during Pregnancy Can Increase Spatial Learning by Affecting Leptin Expression on Offspring's Early and Late Period in Life Depending on Gender by Ayfer Dayi, Sinem Agilkaya, Seda Ozbal, Ferihan Cetin, Ilkay Aksu, Celal Gencoglu, Sultan Cingoz, Cetın Pekcetin, Kazim Tugyan, Berkant Muammer Kayatekin, Nazan Uysal

“…Leptin is an adipocytokine which is secreted from adipose tissues and has positive effects on learning, memory, and synaptic plasticity. In this study, pregnant rats were moderately exercised and we observed the effects of this aerobic exercise on their prepubertal and adult offsprings' spatial learning, hippocampal neurogenesis, and expression of leptin. …”
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One approach is that we learn together, regardless of the language, regardless of the school subject: the translanguaging stance of teachers in a migration school scenario in southern Brazil by Anamaria Welp, Eduardo Sampaio, Gláucia Helena Sarmento Malta

“…The teachers’ accounts reveal that learning in their classrooms is not hierarchical, as teachers and students learn together.…”
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Pengaruh Project Based Learning (PJBL) Model Terhadap Penguasaan Konsep Fisika Pada Siswa Kelas X SMA Negeri 1 Kota Bengkulu by Yulia Monika, Afrizal Mayub, Andik Purwanto

“… Penelitian  bertujuan untuk mengetahui pengaruh  pembelajaran PJBL (Project Based Learning)  terhadap penguasaan konsep fisika peserta didik dan mengetahui respon peserta didik terhadap pembelajaran PJBL (Project Based Learning ).Penelitian Eksperimen ini dengan subjek penelitian seluruh siswa kelas X IPA 5 yang berjumlah 26 orang. …”
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Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data by Biao Zhang, Zhichao Wang, Tiantian Ma, Zhihao Wang, Hao Li, Wenxu Ji, Mingyang He, Ao Jiao, Zhongke Feng

“…Spaceborne LiDAR satellites, including GEDI and ICESat-2, have shown significant potential in estimating aboveground biomass (AGB) using machine learning (ML) methods. In contrast to advances focused on the refinement of ML algorithms, this study aims to enhance AGB estimation accuracy by integrating an additional Canopy Height (CH) information. …”
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Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

“…While the TotalSegmentator does not provide all structures needed for the complete biomechanical model build-up. Overall, deep learning–based automatic bone segmentation can replace manual contouring in this model, matching its performance.…”
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Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases by Fengwei Yao, Ji Luo, Qian Zhou, Luhua Wang, Zhijun He

“…By integrating the MIMIC-IV database and machine learning algorithms, we developed an effective predictive model for HRS in liver cirrhosis patients, providing a robust tool for early clinical intervention.…”
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Machine learning based predictive model and genetic mutation landscape for high-grade colorectal neuroendocrine carcinoma: a SEER database analysis with external validation by Ruixin Wu, Ruixin Wu, Sihao Chen, Sihao Chen, Yi He, Yi He, Ya Li, Song Mu, Aishun Jin, Aishun Jin

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