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11701
Self-Efficacy as a Positive Youth Development Construct: A Conceptual Review
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11702
Enhancing motivation, physical activity, and motor skills through a sport management program based on the sport education model
Published 2025-02-01“…Methodology: The research design employs a static group comparison experiment with two groups an experimental group receiving sport education model intervention and a control group following conventional learning. The sample consists of 120 students aged 8-9 years, divided into two groups, each comprising 60 students. …”
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11703
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11704
A Novel Approach to Discriminate Between Structural and Non-Structural Post-Earthquake Damage in RC Structures
Published 2024-01-01“…For the damage classification model, a deep learning algorithm was developed using the 9680 damage images obtained from field studies after the recent earthquakes of Mw ≥ 5; Istanbul-Silivri (Mw: 5.8), Elazığ-Sivrice (Mw: 6.8) and Izmir-Seferihisar (Mw: 6.6) in Turkey. …”
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11705
Canaloplasty in Open-Angle Glaucoma Surgery: A Four-Year Follow-Up
Published 2014-01-01“…The disadvantages include the following: (1) a long and rather steep surgical learning curve; (2) the need of specific instruments; (3) average postoperative IOP levels tend not to be very low; and (4) impossibility to perform the entire procedure in some cases.…”
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11706
Evolution of Equity Norms in Small-World Networks
Published 2012-01-01“…The topology of interactions has been proved very influential in the results of models based on learning and evolutionary game theory. This paper is aimed at investigating the effect of structures ranging from regular ring lattices to random networks, including small-world networks, in a model focused on property distribution norms. …”
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11707
Leave or stay? A narrative inquiry of tensions in novice English teachers’ professional identity construction at China’s private universities
Published 2025-02-01“…Drawing on a theoretical framework of social identity theory, self-discrepancy theory and situated learning theory, this narrative inquiry study explored the causes, manifestations, and solutions to teachers’ professional identity tensions through in-depth interviews. …”
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11708
PGN: Progressively Guided Network with Pixel-Wise Attention for Underwater Image Enhancement
Published 2025-01-01“…In this paper, we present a novel idea of multiple-stage supervision to guide the network to learn useful features correctly and progressively. …”
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11709
Neuroscience of Meditation
Published 2006-01-01“…It is being alive at its fullest, when each conscious moment becomes a dynamic process of discovery and continuous learning of the ever-new unfolding reality.…”
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11710
Developing Roadway Safety Models for Winter Weather Conditions Using a Feature Selection Algorithm
Published 2020-01-01“…This paper presents a feature selection framework using a machine-learning algorithm known as the Boruta algorithm and exhaustive search to select a list of variables to be included in a negative binomial crash frequency model. …”
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11711
Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector
Published 2022-01-01“…In this investigation, components related to the generation of electrical energy in this area are identified and a centralized system is proposed, with information segmentation, management of 3 user profiles, 6 KPIs, 5 configurable parameters, 7 different forecast models using statistical techniques, support vector machines, and automatic and deep learning, with 2 ways of visualization, to carry out analyses at 3 different time horizons. …”
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11712
A Methodology to Assess Diagnostic Competence in Anatomical Pathology Examinations for Pathology Residents
Published 2011-02-01“…<strong>Background</strong>: For years, the tools for learning assessment of physicians in specialization programs have had an empirical character, leading to problems in the quality of the process. …”
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11713
Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022
Published 2025-01-01“…Downscaling with machine learning algorithms showed high performance (R2 = 0.79 for cross-validation, R2 = 0.80 for the test dataset) and accuracy against reported datasets (Pearson R = 0.88). …”
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11714
Visualization of Multivariate Time-Series Characteristics of Ground Loss Caused by Shield Tunneling
Published 2021-01-01“…However, the existing machine learning methods ignore the continuous and dynamic nature of EPB shield tunneling. …”
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11715
Modeling Groundwater Resources in Data-Scarce Regions for Sustainable Management: Methodologies and Limits
Published 2025-01-01“…This systematic review of Scopus-indexed papers identifies various approaches to address these challenges, including coupled hydrological-groundwater models, machine learning techniques, distributed hydrological models, water balance models, 3D groundwater flow modeling, geostatistical techniques, remote sensing-based approaches, isotope-based methods, global model downscaling, and integrated modeling approaches. …”
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11716
Excerpt from Moore’s Mugabe’s Legacy: Coups, Conspiracies, and the Conceits of Power in Zimbabwe
Published 2022-09-01“…Surprisingly (to me), none of them mentioned in other than laudatory mode Mugabe’s learning many of his trade’s tricks during Zimbabwe’s liberation war. …”
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11717
Analysis Of Themes and Trends in Life Sciences and Biomedical Research Virtual Reality
Published 2022-12-01“…Then the research theme in the virtual reality title regarding science and biomedicine is to get words that often appear, namely evaluation and videos that contain about the fields of dental health, stroke and cancer, Furthermore, from a technological point of view, it relates to head-mounted devices to display 2 or 3 dimensions, and educational psychometric technology relates to learning to care for children for students. While the sports side is related to the movement of the body's physical activity in adults. …”
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11718
Decision making, symmetry and structure: Justifying causal interventions
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11719
Good practice for assignment of breeds and populations—a review
Published 2025-02-01“…In the case selection of SNPs is necessary, we advise the use of one stage methodologies and to define a threshold for this selection. Then, machine learning can be used to develop the model per se, based on the selected or available markers. …”
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11720
Musical Electroacupuncture May Be a Better Choice than Electroacupuncture in a Mouse Model of Alzheimer’s Disease
Published 2016-01-01“…The Morris water maze test, micro-PET, and immunohistochemistry revealed that MEA and EA therapies could improve spatial learning and memory ability, glucose metabolism level in the brain, and Aβ amyloid content in the frontal lobe, compared with the AD group (P<0.05). …”
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