Results 131 to 140 of about 550,427 (314)

Maximising Achievement and Progress in Secondary Physical Education Trainees. The Impact and Effectiveness of Using Ofsted Characteristics for Formative Diagnostic Assessment

open access: yes, 2013
In all areas of educational practice assessment is probably the most frequently debated. Frapwell (2010: 13) stated that ‘in the past twenty years no area in education has been as contentious, as newsworthy, possibly as time consuming or even as emotive ...
Whitehouse, Kerry
core  

Correlation of Physical Fitness and Professional Military Training of Servicemen

open access: yesSport Mont, 2020
Volodymyr Klymovych   +10 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Analysis of the association between physical health and BMI in single-child and multiple-child families: a study based on the SUREG model and the BMA approach

open access: yesBMC Public Health
Background China’s single children policy, implemented from 1979 to 2015, lasted for 35 years, with the result that China is now the country with the highest number of children without siblings in the world. This policy profoundly reshaped China’s family
Zhiyu Qin, Qianqian Li, Xiaotian Li
doaj   +1 more source

Effect of smartphone applications before deep learning: promoting physical activity enjoyment and physical fitness among children with disabilities

open access: yesEdu Sportivo
Background: The use of smartphone applications (SA) before deep learning (DL) is currently showing an increase in popularity in the context of physical education (PE) teaching, but the effects smartphone applications within deep learning (SADL) on ...
Akhmad Dimyati   +4 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

Education and Training in the Bahamas: A Partially Annotated Bibliography

open access: yes, 2006
This bibliography on “Education and Training in the Bahamas” has been specifically prepared for the UWI School of Continuing Studies’ Bahamas Conference.
Quamina-Aiyejina, Lynda
core  

Teaching outdoor and adventure activities: describing, analysing and understanding a primary school physical education professional development programme [PDF]

open access: yes, 2012
Background: Primary schools need well informed and highly motivated teachers to meet the evolving demands of the education system. Professional development is essential to equip primary school teachers to change practice to meet these challenges (Guskey,
Coulter, Maura
core  

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

open access: yesAdvanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng   +7 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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