Incremental Multi-Step Learning MLP Model for Online Soft Sensor Modeling by Yihan Wang, Jiahao Tao, Liang Zhao

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Step-by-Step Method: Can it improve triple jump learning outcomes? by Arifin Arifin, Y. Touvan Juni Samodra, Edi Purnomo

“…So that the step-by-step learning is successful from 1 student who completes with a score of 6.25% to 68.75%, based on the results of the study, it can be concluded that the increase in triple jump results through step-by-step learning can be seen from the average and completeness results of each student.…”
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LSTM-Based Music Generation Technologies by Yi-Jen Mon

“…To address this, we employed various tools to deconstruct the musical structure, conduct step-by-step learning, and then reconstruct it. This article primarily presents the techniques for dissecting musical components in the preliminary phase. …”
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Reflection on the online learning of Pancasila and Citizenship in an international class program by Elisabeth Rukmini, Pedy Artsanti, Arya Susila Nugraha

“…This goal is to be achieved by analyzing qualitative data on student reflections and analyzing the results of student evaluations of the five-step learning program "To Live Pancasila in Our (Global) Citizenship". …”
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Knowledge distillation with resampling for imbalanced data classification: Enhancing predictive performance and explainability stability by Kazuki Fujiwara

“…Our approach employs a two-step learning process: (1) training a balanced teacher model using RUS and (2) training an imbalanced student model through response-based KD, utilizing both soft and hard targets. …”
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Federated knee injury diagnosis using few shot learning by Chirag Goel, Anita X, Jani Anbarasi L

“…The model is trained incorporating Stochastic Gradient Descent (SGD), Cross-Entropy Loss, and a MultiStep Learning Rate scheduler to enhance few-shot classification. …”
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Introduce-Operate-Network (ION) Model: A Teaching Innovation on Formula Writing and Naming of Compounds in Chemistry by John Kenneth Taneo, Manilyn Narca, Joje Mar Sanchez

“…Thematic analysis of student experiences highlighted the efficacy of the ION learning model in facilitating step-by-step learning, though challenges were noted. The ION learning model emerged as a powerful tool for enhancing student understanding of formula writing and compound naming. …”
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Restoration of Out-of-Focus Fluorescence Microscopy Images Using Learning-Based Depth-Variant Deconvolution by Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen

“…In this work, we propose a two-step learning-based DV deconvolution (LB-DVD) to restore the out-of-focus image. …”
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Impaired arbitration between reward-related decision-making strategies in Alcohol Users compared to Alcohol Non-Users: a computational modeling study by Srinivasan A. Ramakrishnan, Riaz B. Shaik, Tamizharasan Kanagamani, Gopi Neppala, Jeffrey Chen, Vincenzo G. Fiore, Christopher J. Hammond, Shankar Srinivasan, Iliyan Ivanov, V. Srinivasa Chakravarthy, Wouter Kool, Muhammad A. Parvaz

“…In this study, 81 individuals (47 frequent Alcohol Users and 34 Alcohol Non-Users) performed a modified 2-step learning task where stakes were sometimes high, and other times they were low. …”
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Development and user experience of a three-dimensional object-based virtual reality-simulation tool for dental radiography training: a randomized controlled trial by Ji-Eun Im, Ja-Young Gu, Jung-Hee Bae, Jae-Gi Lee

“…The intraoral radiography process was divided into 12 steps, and the Unity 3D engine was used to create an interactive VR environment for step-by-step learning. This study was a randomized controlled trial. …”
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Force majeure impact on citizen science: Perspective from an EU funded project [version 2; peer review: 1 approved, 2 approved with reservations] by Huma Shah, J. Vallverdu, M. Pocs, Tiberius Ignat, M. Hinsenkamp, Maayan Zhitomirsky-geffet

“…Methods Mitigation measures, to limit the handicap of moving to online working reducing potential for learning through synchronous live engagement, included creation of an interactive multilingual informal five-step learning resource (CSI-COP MOOC: ‘Your Right to Privacy Online’), adapting Greenpeace’s ‘Big Plastic Count’ to an online ‘Big Cookie Count’ event, as well as webinars organised by project partners in their local language, Newsletters, provided opportunities for the general public to gain vital knowledge about protecting personal data and preserving online privacy. …”
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Force majeure impact on citizen science: Perspective from an EU funded project [version 1; peer review: 1 approved, 2 approved with reservations] by Huma Shah, J. Vallverdu, M. Pocs, Tiberius Ignat, M. Hinsenkamp, Maayan Zhitomirsky-geffet

“…Methods Mitigation measures, to limit the handicap of moving to online working reducing potential for learning through synchronous live engagement, included creation of an interactive multilingual informal five-step learning resource (CSI-COP MOOC: ‘Your Right to Privacy Online’), adapting Greenpeace’s ‘Big Plastic Count’ to an online ‘Big Cookie Count’ event, as well as webinars organised by project partners in their local language, Newsletters, provided opportunities for the general public to gain vital knowledge about protecting personal data and preserving online privacy. …”
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‘Connecting the dots’ for generating a momentum for Universal Health Coverage in Bangladesh: findings from a cross-sectional descriptive study by Nahitun Naher, Syed Masud Ahmed, Lal B Rawal, Tarek Hossain

“…Additionally, experiences gained from implementation of the pilot projects helped in identifying possible entry points for initiating UHC activities in a low resource setting like Bangladesh.Conclusions During early years of UHC-related activities in Bangladesh, strategic investments of the RF THS initiative played a catalytic role in sensitising and mobilising different constituencies for concerted activities and undertaking necessary first steps. Learnings from this strategy may be of help to countries under similar conditions of ‘low resource, apparent commitment, but poor governance,’ on their journey towards UHC.…”
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