Specifics of teaching logic at the higher educational institutions of the Ministry of Internal Affairs of Russia: technology of step-by-step formation of mental actions by V. A. Dolin

“…The article is devoted to the research of the problem of improving teaching of the discipline «Logic» at a university of the Ministry of Internal Affairs of Russia on the basis of conceptual provisions of the technology of step-by-step formation of mental actions by P.Ya. …”
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Optimizing the morphology transition on MOVPE-grown (100) β-Ga2O3 film between step-flow growth and step-bunching: A machine learning-assisted approach by Ta-Shun Chou, Saud Bin Anooz, Natasha Dropka, Han-Hsu Chen, Zbigniew Galazka, Martin Albrecht, Andreas Fiedler, Andreas Popp

“…The step-bunching instability in (100) β-Ga2O3 films grown via metalorganic vapor phase epitaxy was investigated using a machine learning approach based on Random Forest (RF). …”
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Step-by-step roadmap to building a robotic acute care surgery program (RACSP) in a level I trauma center: outcomes and lessons learned after 1-year implementation by Kartik Prabhakaran, Jorge Con, Joshua Klein, Bardiya Zangbar, Aryan Rafieezadeh, Ilya Shnaydman, Jordan Kirsch, Anna Mary Jose, Mathew Bronstein, Anthony Policastro

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A learning module in hair restoration surgery: A simple and economic method to learn all steps of strip method of hair follicles harvesting and implantation by Anil Kumar Garg, Seema Garg

“…Objective: To develop a learning module in hair restoration surgery to learn all steps of strip method of hair follicles harvesting and methods of implantation. …”
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Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks? by Jowaria Khan, Rana Elfakharany, Hiba Saleem, Mahira Pathan, Emaan Shahzad, Salam Dhou, Fadi Aloul

“…In such a context, the proposed machine learning model offers a robust solution for detecting and mitigating multi-step cyberattacks in these critical environments. …”
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Step-by-Step Guide for Safe Joint Access During Hip Arthroscopy by Kyle P. Messer, D.O., Ashley D. Price, B.S., Matthew J. Kraeutler, M.D.

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Explorative learning and functional inferences on a five-step means-means-end problem in Goffin's cockatoos (Cacatuagoffini). by Alice M I Auersperg, Alex Kacelnik, Auguste M P von Bayern

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Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble. by Icíar Civantos-Gómez, Javier García-Algarra, David García-Callejas, Javier Galeano, Oscar Godoy, Ignasi Bartomeus

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Machine Learning for Precision Health Economics and Outcomes Research (P-HEOR): Conceptual Review of Applications and Next Steps by Yixi Chen, Viktor V Chirikov, Xiaocong L Marston, Jingang Yang, Haibo Qiu, Jianfeng Xie, Ning Sun, Chengming Gu, Peng Dong, Xin Gao

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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…A recurrent neural network model for detecting step anomalies is proposed. A method for the model adaptation to a small set of real data based on one-step meta-learning is developed. …”
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DSTL: A dual-step transfer learning-based prediction model for next-generation intelligent cellular networks by Waqar A. Aziz, Iacovos I. Ioannou, Marios Lestas, Vasos Vassiliou

Subjects: “…dual-step transfer learning (dstl)…”
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Guidance in Reading Strategies: A First Step Towards Autonomous Learning in a Semi-Distance Education Program by Jahir Aguirre Morales, Bertha Ramos Holguín

“…This article aims at sharing the results of a research project focused on guiding students in the use of different reading strategies: reading non- text information, skimming and scanning, using contextual reference, predicting, and using true/false cognates as a first step towards autonomous learning. The project was conducted at a Colombian university with two groups of business administration students who belonged to a semi-distance education program. …”
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Integrating Machine Learning Into Nutritional Assessment and Food Waste Monitoring in Food Services: A Step Toward Sustainability by Dario Gregori, Corrado Lanera, Solidea Baldas, Cecilia Dente, Giulia Lorenzoni

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This study aims to quantify and evaluate the complexity features of natural gas loads and to develop a multi-step-ahead forecasting model that integrates data decomposition and ensemble deep learning while considering these complexity features. …”
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Endoscopic middle ear surgery: First steps in a third level hospital by Fabian Alzate Amaya, Liliana Invencio Da Costa, Anselmo Padin Seara, Jose Eugenio Estrada Gromaz

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DIMENSIONS OF METACOGNITION IN EDUCATIONAL ALTERNATIVES SUCH AS MONTESSORI, WALDORF, STEP BY STEP, AND REGGIO EMILIA by Marius Costel ESI

“… When we talk about educational alternatives, our attention must focus on the main epistemic approaches through which the learning process takes shape. In such a context, we can speak of an approach that prioritizes reflection, personalized and individualized learning, as well as flexible learning. …”
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DIMENSIONS OF METACOGNITION IN EDUCATIONAL ALTERNATIVES SUCH AS MONTESSORI, WALDORF, STEP BY STEP, AND REGGIO EMILIA by Marius Costel ESI

“… When we talk about educational alternatives, our attention must focus on the main epistemic approaches through which the learning process takes shape. In such a context, we can speak of an approach that prioritizes reflection, personalized and individualized learning, as well as flexible learning. …”
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Adaptive Laguerre Filters for Elimination of Power Line Noise from EMG Signals: Fixed and Fuzzy Step Size Approaches by Mojtaba Malboubi, Seyed Mohammad Kargar, Seyed Ali Mousavi

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Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios by Miao He, Xian Xu, Shaofei Wu, Chuanxiong Kang, Binbin Huang

“…However, research exploring the multi-step runoff prediction capabilities of these novel models across diverse scenarios remains scarce. …”
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Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions by Shujun Wu, Zengchuan Dong, Sandra M. Guzmán, Gregory Conde, Wenzhuo Wang, Shengnan Zhu, Yiqing Shao, Jinyu Meng

“…Current research predominantly emphasizes enhancing the precision of machine learning-based runoff predictions, with limited focus on their physical interpretability. …”
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