Soil carbon-food synergy: sizable contributions of small-scale farmers by Toshichika Iizumi, Nanae Hosokawa, Rota Wagai

“…Methods We applied random forest machine learning models to global gridded datasets on crop yield (wheat, maize, rice, soybean, sorghum and millet), soil, climate and agronomic management practices from the 2000s (n = 1808 to 8123). …”
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Fatores explicativos do nível de utilização das estratégias metacognitivas de aprendizagem autorregulada dos estudantes de contabilidade by Thiago Bruno de Jesus Silva, Gerson João Valeretto, Marília Paranaíba Ferreira, Cleston Alexandre dos Santos, Cristian Baú Dal Magro

“…Os dados foram coletados por meio de questionários aplicados aos discentes do curso presencial de Ciências Contábeis de uma instituição federal do estado do Mato Grosso do Sul/Brasil e, no total, 107 questionários, fundamentados na metodologia Self-Regulated Learning (SRL), fizeram parte da amostra. As análises consideraram as 14 estratégias metacognitivas de aprendizagem autorregulada definidas por Zimmerman e Martinez-Pons (1986) e foram feitas mediante as técnicas de estatística descritiva, análise fatorial e regressão linear múltipla. …”
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AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteins by Olivia S. Pratt, Luc G. Elliott, Margaux Haon, Shahram Mesdaghi, Rebecca M. Price, Adam J. Simpkin, Daniel J. Rigden

“…Importantly, other deep learning-based structure prediction tools predict different structures or β-solenoids with much lower confidence suggesting that AF2 alone has an unreasonable tendency to predict confident but unrealistic β-solenoids for perfect repeat sequences. …”
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Digitalisation of Professional Education: Prospects and Invisible Barriers by L. M. Andryukhina, N. O. Sadovnikova, S. N. Utkina, A. M. Mirzaahmedov

“…On the basis of the outcomes of the conducted surveys, the following aspects were analysed: the degree of teachers’ skills formation declared in the professional standard; willingness to implement e-learning, expand the range of ICT and GT included in teaching practice; respondents’ attitudes towards the digitalisation of education and their self-recognition in this process. …”
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A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making by Siti Nurmaini, Ria Nova, Ade Iriani Sapitri, Muhammad Naufal Rachmatullah, Bambang Tutuko, Firdaus Firdaus, Annisa Darmawahyuni, Anggun Islami, Satria Mandala, Radiyati Umi Partan, Akhiar Wista Arum, Rio Bastian

“…With digitization, deep learning (DL) can be used to improve the efficiency of the diagnosis. …”
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End-to-End Security Mechanism Using Blockchain for Industrial Internet of Things by Muhammad Shahid Dildar, Adnan Shahid Khan, Irshad Ahmed Abbasi, Reema Shaheen Naseem Akhtar, Khalil Al Ruqaishi, Shakeel Ahmed Ghulam Sarwar

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

“…The obtained results can be used to develop a new paradigm of information interaction of members of educational process, to introduce and implement conceptual structural-functional model of predicting professional future of the student of the digital generation, to develop and implement new forms and methods of active learning. The research materials will be useful for teachers, psychologists, and social professionals to understand the specific needs of digital generation representatives.…”
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HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model by Jiaxin Ren, Wanzeng Liu, Jun Chen, Xiuli Zhu, Ran Li, Tingting Zhao, Jiadong Zhang, Yuan Tao, Shunxi Yin, Xi Zhai, Yunlu Peng, Xinpeng Wang

“…A two-stage transfer learning strategy was employed to tackle the issue of limited training samples. …”
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Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease by Magdalini Kreouzi, Nikolaos Theodorakis, Maria Nikolaou, Georgios Feretzakis, Athanasios Anastasiou, Konstantinos Kalodanis, Aikaterini Sakagianni

“…Furthermore, machine learning models are increasingly used to integrate multi-omics data, enabling personalized interventions. …”
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Unleashing the potential of chatbots in mental health: bibliometric analysis by Qing Han, Chenyang Zhao

“…High-frequency terms such as “ChatGPT”, “machine learning”, and “large language models” underscore the current state of research, highlighting the cutting-edge advancements and frontiers in this field.ConclusionsThis study provides an in-depth analysis of the most prominent countries, institutions, publications, collaboration status, and research topics associated with utilization of chatbots in mental health over the last decade. …”
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Impact of social isolation during the COVID-19 pandemic on the mental health of university students and recommendations for the post-pandemic period: A systematic review by Tamiris Beppler Martins, Joaquim Henrique Lorenzetti Branco, Taís Beppler Martins, Gilmar Moraes Santos, Alexandro Andrade

“…Anxiety symptoms related to online learning directly impacted academic performance. The assessment of the risk of bias showed that of the 68 studies included, 34 had a low risk of bias, 30 had a moderate risk of bias, and 4 had a high risk of bias. …”
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Pendekatan Model ADDIE dan Framework MDA pada Gamifikasi Edukasi Pendidikan Seks Anak Usia Dini by Cynthia Hayat, Stefani Cancerita

“…The gamification approach is used in delivering information because it shows a positive graphic in motivating to improve a positive learning environment. The contribution of this study by developing gamification applications for sex education education is carried out using the ADDIE model combined with the approach to elements of the MDA framework (Mechanics, Dynamics and Aesthetics). …”
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Enhancing Tropical Cyclone Risk Assessments: A Multi-Hazard Approach for Queensland, Australia and Viti Levu, Fiji by Jane Nguyen, Michael Kaspi, Kade Berman, Cameron Do, Andrew B. Watkins, Yuriy Kuleshov

“…This study develops an integrated methodology for TC multi-hazard risk assessment that utilises the following individual assessments of key TC risk components: a variable enhanced bathtub model (VeBTM) for storm surge-driven hazards, a random forest (RF) machine learning model for rainfall-induced flooding, and indicator-based indices for exposure and vulnerability assessments. …”
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Comparison of Brain Activation Between Different Modes of Motor Acquisition: A Functional Near‐Infrared Study by Meng‐Hsuan Tsou, Pei‐Yun Chen, Yi‐Ting Hung, Yong‐Wei Lim, Shiuan‐Ling Huang, Yan‐Ci Liu

“…ABSTRACT Background Different modes of motor acquisition, including motor execution (ME), motor imagery (MI), action observation (AO), and mirror visual feedback (MVF), are often used when learning new motor behavior and in clinical rehabilitation. …”
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Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine by Yi Guo, Hua Xu, Fei Wang, Jie Xu, Jiang Bian, Robert Lucero, Mattia Prosperi

“…In stage 3, a computer-based, real-time Delphi survey will be performed to consolidate the PRECOG checklist, involving experts in causal inference, epidemiology, statistics, machine learning, informatics and protocols/standards. Stage 4 will involve the write-up of the PRECOG guideline based on the results from the prior stages. …”
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Differential effects of clary sage (Salvia sclarea L.) oil and linalyl acetate on depression levels in diabetic foot ulcer patients with T2DM: a randomized blinded controlled trial by Ji Won Son, Purum Kang, Sun Seek Min, Geun Hee Seol, Geun Hee Seol

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AKADEMI DESAIN ANIMASI DENGAN PENDEKATAN ARSITEKTUR NUSANTARA by St Aisyah Rahman, Kurnia Afdillah, Taufik Arfan

“…Kata kunci : Akademi Animasi; Arsitektur Nusantara; Perancangan   Abstract_At this time, The use of animation today has covered the whole sector, start from entertainment such as film, from education as a media of learning in schools, until to the business world as a media of promotion and sales. …”
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mmPrivPose3D: A dataset for pose estimation and gesture command recognition in human-robot collaboration using frequency modulated continuous wave 60Hhz RaDARMendeley Data by Nima Roshandel, Constantin Scholz, Hoang-Long Cao, Milan Amighi, Hamed Firouzipouyaei, Aleksander Burkiewicz, Sebastien Menet, Felipe Ballen-Moreno, Dylan Warawout Sisavath, Emil Imrith, Antonio Paolillo, Jan Genoe, Bram Vanderborght

“…Our dataset serves as a fundamental resource for developing machine learning algorithms to improve the accuracy of pose estimation and gesture recognition using RaDAR data.…”
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Contemporaneous Emotion Regulation Theoretical Models: A Systematic Review by Camila Florencia Cremades, Cristian Javier Garay, Martín Juan Etchevers, Roberto Muiños, Graciela Mónica Peker, Juan Martín Gómez Penedo

“…We identify that people's learning history is an important factor in the development of emotional regulation skills. …”
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Pembangunan Aplikasi Mobile Pengenalan Objek Untuk Pendidikan Anak Usia Dini by Muhammad Fadhlan Supriadi, Ema Rachmawati, Anditya Arifianto

“…We used MobileNet architecture as a pre-trained model that had previously been trained on COCO datasets, and implement transfer learning for 20 types of objects commonly found inside the house. …”
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