Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights by Shin I. Aleksandrovich, Tyan Ramazan, Raissa Utegaliyeva, Balzat Sarimbayeva, Gaukhar Keubassova, Rakhima Bissalyyeva, Kuanysh Syman, Gaukhar Abdikarimova

“…Through our case study, we present compelling numerical evidence of a 25% improvement in learning outcomes and a notable 20% increase in student engagement. …”
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Decentralized federated learning using validation loss for model sharing in crop disease classification by Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, Raphaël Canals

“…Several AI methods have been employed for this purpose, but despite achieving good results, many challenges remain, such as protecting farmers’ data, using machine learning on edge devices, and employing collaborative learning. …”
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A Machine Learning-Based Guide for Repeated Laboratory Testing in Pediatric Emergency Departments by Adi Shuchami, Teddy Lazebnik, Shai Ashkenazi, Avner Herman Cohen, Yael Reichenberg, Vered Shkalim Zemer

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MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children by Yasen Yimit, Yasen Yimit, Parhat Yasin, Yue Hao, Abudouresuli Tuersun, Abudouresuli Tuersun, Chencui Huang, Xiaoguang Zou, Xiaoguang Zou, Ya Qiu, Ya Qiu, Yunling Wang, Mayidili Nijiati, Mayidili Nijiati

“…BackgroundMedulloblastoma (MB) and ependymoma (EM) in children share similarities in terms of age group, tumor location, and clinical presentation, which makes it challenging to clinically diagnose and distinguish them.PurposeThe present study aims to explore the effectiveness of T2-weighted magnetic resonance imaging (MRI)-based deep learning (DL) combined with clinical imaging features for differentiating MB from EM.MethodsAxial T2-weighted MRI sequences obtained from 201 patients across three study centers were used for model training and testing. …”
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Characterizing the ADPKD-IFT140 Phenotypic Signature With Deep Learning and Advanced Imaging Biomarkers by Ahmad Ghanem, Fadi George Munairdjy Debeh, Abdul Hamid Borghol, Nikola Zagorec, Amanda L. Tapia, Byron Smith, Stefan Paul, Abdul Basit, Bassel AlKhatib, Nay Nader, Marie Therese Bou Antoun, Adriana V. Gregory, Hana Yang, Rachel S. Schauer, Neera K. Dahl, Christian Hanna, Vicente E. Torres, Timothy L. Kline, Peter C. Harris, Emilie Cornec-Le Gall, Fouad T. Chebib

“…This study aimed to characterize the clinical presentation, progression, and distinctive imaging phenotype of ADPKD-IFT140. …”
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From Celtic Village to Iron Age Farmstead: Lessons Learnt from Twenty Years of Building, Maintaining and Presenting Iron Age Roundhouses at St Fagans National History Museum by Steve Burrow

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kMoL: an open-source machine and federated learning library for drug discovery by Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Hiroaki Iwata, Aki Hasegawa, Takao Otsuka, Yasushi Okuno

“…Additionally, the experiment results provide further insights into the performance trade-offs associated with federated learning strategies, presenting valuable guidance for deploying machine learning models in a privacy-preserving manner within drug discovery pipelines.…”
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Technology-Enhanced Differentiated Instruction: A Narrative Review by Ata Barzegari, Esmaeil Azimi Yancheshmeh, Javad Hatami

“…In conclusion, suggestions for further research on the application of differentiated instruction in e-learning and the use of data through learning analytics to facilitate the adoption of this approach are presented.IntroductionThe increasing diversity of learners in educational settings, combined with the rise of online learning, presents unique challenges for educators. …”
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Integrasi Etnopedagogi dalam Mengembangkan Model Pembelajaran Biologi by Iwan Setia Kurniawan, Rifki Survani

“…Model of learning is a syntax or learning steps depicted from the beginning to the end presented in full or typical in the learning process. …”
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University students’ learning strategy preferences: investigating usage patterns, knowledge sources, and study habits by Peter Seban, Radovan Šikl, Kamila Urban

“…Effective learning requires students to use a diverse range of learning techniques and strategies (LTSs). …”
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Experiences from a land-based learning project focused on local food interventions by Abbey Palmer, Phillip Warsaw, Aaron McKim, R. Bud McKendree, Maezie Nettleton, Tiffany Marzolino, Haley Brasier

“…We present findings from the evaluation of a land-based learn­ing program implemented in northern Michigan. …”
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Forms of Cooperative Learning in Language Teaching in Slovenian Language Classes at the Primary School Level by Alenka Rot Vrhovec

“…The present article presents a survey that attempted to determine whether teachers from the first to the fifth grade execute cooperative learning in language classes. …”
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Sine Cosine Optimization With Deep Learning–Driven Object Detector for Visually Impaired Persons by Hadeel Alsolai, Fahd N. Al-Wesabi, Abdelwahed Motwakel, Suhanda Drar

“…Both exploit typical machine learning (ML) approaches and utilize deep learning (DL) models to execute object detection methods. …”
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STUDYING MEDICINAL PLANTS USING PROJECT-BASED ON LEARNING METHOD USING THE EXAMPLE OF VALERIAN by Asanbekova A. A., Akmataliev Zh. T.

“…This paper presents a classification of projects and project activities of schoolchildren, and presents a methodology for using the project-based on learning method. …”
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Learning the use of punctuation: Analysis of a corpus of grammar textbooks for lower secondary school by Claudia Arcari

“…The present study offers a reflection on how punctuation is addressed in grammar textbooks used in schools. …”
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Induction of gender-like linguistic categories using noun-marking and blocking of learning trials by Roman Taraban

“…In contrast, previous research has shown that linguistic categories, like those associated with gender, can be readily induced through phonological or morphological cues or by blocking related cases (Taraban, 2004). The present experiment tested whether noun-marking and blocked learning trials would aid participants in inducing gender-like categories in an artificial language consisting of twenty-four locative phrases. …”
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Reconstructing In-Cylinder Pressure from Head Vibrations with Signal-to-Signal Deep Learning Architectures by Mateusz Tabaszewski, Grzegorz M. Szymański, Maciej Tabaszewski, Mikołaj Klekowicki

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Identification of Elephant Rumbles in Seismic Infrasonic Signals Using Spectrogram-Based Machine Learning by Janitha Vidunath, Chamath Shamal, Ravindu Hiroshan, Udani Gamlath, Chamira U. S. Edussooriya, Sudath R. Munasinghe

“…This paper presents several machine learning methods and highlights the most effective one for detecting elephant rumbles in infrasonic seismic signals. …”
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DAO Research Trends: Reflections and Learnings from the First European DAO Workshop (DAWO) by Michael Lustenberger, Florian Spychiger, Lukas Küng, Eleonóra Bassi, Sabrina Wollenschläger

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Teaching English through Stories: A Meaningful and Fun Way for Children to Learn the Language by Nohora Inés Porras González

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