MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…The methodology of machine learning with multi-omics data has been widely adopted in the discriminative analyses of schizophrenia, but most of these studies ignored the cooperative interactions and topological attributes of multi-omics networks. …”
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School-based mindfulness training in early adolescence: what works, for whom and how in the MYRIAD trial? by Susan Ball, Obioha C Ukoumunne, Tamsin Ford, Sarah Byford, Tim Dalgleish, Willem Kuyken, Jesus Montero-Marin, Kate Tudor, Alice Tickell, Catherine Crane, Ariane Petit, Elise Sellars, Laura Taylor, Maris Vainre, Benjamin Jones, Kirsty Griffiths, Elizabeth Nuthall, J Mark G Williams, Sarah-Jayne Blakemore, Katie Fletcher, Emma Medlicott, Anam Raja, Matthew Allwood, Louise Aukland, Tríona Casey, Nicola Dalrymple, Katherine De Wilde, Eleanor-Rose Farley, Jennifer Harper, Nils Kappelmann, Maria Kempnich, Liz Lord, Lucy Palmer, Alice Philips, Isobel Pryor-Nitsch, Lucy Radley, Anna Sonley, Jem Shackleford, Mark T Greenberg, Verena Hinze, Saz Ahmed, Marc Bennett, Lucy Foulkes, Cait Griffin, Konstantina Komninidou, Rachel Knight, Suzannah Laws, Jovita Leung, Jenna Parker, Blanca Piera Pi-Sunyer, Ashok Sakhardande, Lucy Warriner, Brian Wainman

“…Future research should explore social−emotional learning programmes adapted to the unique needs of young people.…”
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PISA 2022: The impact of school-environment predictors on the performance of Spanish students by Pablo Javier Ortega-Rodríguez

“…These findings suggest a need to create an environment that promotes student learning, reinforce students’ sense of belonging to the school, and implement anti-bullying measures in schools.…”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Conclusions The study involved a comprehensive exploration of the function of LLMs in medical ethics education, positing that tools such as ChatGPT can profoundly enhance the learning experience in the future. This is achieved through tailored, interactive educational encounters while addressing the ethical nuances of their use in educational settings.…”
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Utprøving av simuleringsaktiviteter i grunnskolelærerutdanningen – en ny læringsarena for sterkere koherens og utvikling av profesjonsfellesskap by Hege Myhre

“…ENGLISH ABSTRACT Testing simulation activities in general teacher education – a new arena for stronger coherence and development of professional communities This article presents results of a self-study of new learning activities in general teacher education, inspired by simulation methodology, which is a widely used form of teaching in health sciences. …”
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Disease burden comparison and associated risk factors of early- and late-onset neonatal sepsis in China and the USA, 1990–2019 by Chengyue Zhang, Lianfang Yu, Xiaoming Pan, Yuwei Lu, Kaiyu Pan

“…Conclusions The aim of the Chinese public health policy should be to control risk factors, learning from the advanced health policy planning and perinatal management experiences of developed countries.…”
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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation by Shuwen Peng, Liqiang Zhang, Rongchang Xie, Ying Qu

“…CSTN uses pseudo-labels in the target region generated by the self-training strategy to assist supervised learning, and aligns features across regions using class-aware prototypes. …”
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Analyse de l’enseignement en architecture de paysage à travers la recherche sur l’évolution de la profession d’architecte-paysagiste en Lituanie by Vaiva Deveikienė

“…During the Soviet period, the reorganisation of schools of higher learning enabled their development, but it was not until 1972 that a programme with a specialisation in landscape architecture was started at the Vilnius Academy of Fine Arts. …”
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Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin

“…First, the model applies DT’s self-learning standardization and de-standardization parameters to standardize the input and de-standardize the output, mitigating the impact forecasting of data distribution shifts on prediction accuracy. …”
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The effect of blended educational methods in communication skills in nursing with students’ interactions with patients: A quasi-experimental study by Seyed Hossein Kalati, Neda Ahmadzadeh Tori, Javaneh Kalati, Nastaran Norouzi Parashkouh, Hengameh Karimi

“…Conclusion: According to the results, participating in blended methods for communication skills courses can be as effective in improving communication skills as 2 years of experiential learning of communication skills.…”
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Does instruction through mother tongue impede students’ English proficiency? public skepticism on the instructional language policy in the state of Amhara by Melaku Gebremeske

“… This study examined whether learning in the mother tongue affects students’ English proficiency in the State of Amhara. …”
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Evaluation of digital competence level among educators: assessment tools by Elizaveta A. Osipovskaya, Svetlana Yu. Dmitrieva, Anastasiia A. Savelyeva

“…This shift to online learning has accelerated and introduced new challenges and changes to educators' roles and skillsets. …”
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Implementasi Algoritma Convolutional Neural Network untuk Klasifikasi Jenis Keris by Maria Mediatrix Sebatubun, Cosmas Haryawan

“…Penelitian ini akan mengimplementasikan metode deep learning dengan algoritma Convolutional Neural Network (CNN) yang dapat melakukan tugas klasifikasi secara langsung pada citra, untuk membangun sebuah model untuk klasifikasi jenis keris berdasarkan dhapur. …”
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Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

“…Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. …”
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Converting from Seepage Irrigation to Plasticulture for Vegetable Production: A Case Study by Charles E. Barrett, Lincoln Zotarelli, Lucas G. Paranhos, Mark W. Warren

“…The plasticulture system was designed to provide a small-scale installation of this technology for learning and commercial adaptation purposes. This small-scale system has great potential for encouraging adoption of this type of system with low risk to the grower. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…Finally, the feature selection via the tail dependence method performs comparably to other forms of machine learning-based feature selection and we find that there are multiple parameter sets that can predict MDA8 O3 with equal success.…”
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Remote sensing forest health assessment – a comprehensive literature review on a European level by Drechsel Johannes, Forkel Matthias

“…We conclude that the availability of new satellite systems and advances in artificial intelligence and machine learning should be translated into FHA practice according to ICP standards.…”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Furthermore, in diabetic disease modelling, artificial neural networks have demonstrated outstanding accuracy compared to alternative methods such as machine learning, regression, artificial neural networks, and decision trees.…”
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