Developing an evaluation index system for the online learning literacy of physical education teachers in China.

Background: The convenience of online learning helps physical education teachers overcome geographic barriers and promotes safe, accessible, high-quality education. This three-stage study developed an evaluation index system for online learning literacy of physical education (PE) teachers (OLLPET).

Methods: Using two rounds of the Delphi method and one round of the Expert ranking method, consult with 15 PE experts from universities, primary and secondary schools, and teaching-research staff to draw up, revise, and finalize an evaluation index system for OLLPET.

Efficacy and Safety of QiShen YiQi Dripping Pills in the Treatment of Coronary Heart Disease Complicating Chronic Heart Failure (Syndrome of Qi Deficiency with Blood Stasis): Study Protocol for a Randomized, Placebo-Controlled, Double-Blind and Multi-Centre Phase II Clinical Trial.

Background: Heart failure (HF) is a serious and terminal stage of various cardiac diseases and the most common complication of coronary heart disease (CHD). Previous clinical studies have shown that Qishen Yiqi dropping pills (QSYQ) have the effect of treating chronic heart failure. This study aims to evaluate the clinical efficacy, safety and optimal effective dose of QSYQ in treating CHD complicating chronic HF with reduced ejection fraction (HFrEF).

Model Construction of Chinese Preservice Physical Education Teachers' Perception of Social Media: A Grounded Theory Approach.

(1) Background: Pre-service physical education teachers commonly embrace social media for multiple purposes. However, little is known about their perception of social media, which could affect the appropriate use of social media in their future professional work. This study aims to explore a theoretical model of how pre-service physical education teachers perceive social media in order to provide a basis for educators to guide their appropriate use of social media.

Development of an Assessment of Ethics for Chinese Physical Education Teachers: A Study Using the Delphi and Expert Ranking Methods.

Background: Developing the ethics of physical education (PE) teachers is important for promoting the overall development of students. However, it is unclear which indicators can be used to assess the ethics of PE teachers in China. Therefore, this study aimed to develop an assessment of ethics for Chinese physical education teachers (AECPET) using the Delphi and expert ranking methods.

Validation of deep learning-based nonspecific estimates for amyloid burden quantification with longitudinal data.

Purpose: To validate our previously proposed method of quantifying amyloid-beta (Aβ) load using nonspecific (NS) estimates generated with convolutional neural networks (CNNs) using [F]Florbetapir scans from longitudinal and multicenter ADNI data.

Methods: 188 paired MR (T1-weighted and T2-weighted) and PET images were downloaded from the ADNI3 dataset, of which 49 subjects had 2 time-point scans. 40 Aβ- subjects with low specific uptake were selected for training.

Carbon-nanotube-entangled Co,N-codoped carbon nanocomposite for oxygen reduction reaction.

The design of highly efficient and stable electrocatalysts for oxygen reduction reaction (ORR) is still a great challenge. Herein, we prepared Co,N-codoped carbon nanocomposites (Co@NC-ZM) with entangled carbon nanotubes. The large Brunauer-Emmett-Teller surface area (604.

CoFe NPs confined in yolk-shell N-doped carbon: engineering multi-beaded fibers as an efficient bifunctional electrocatalyst for Zn-air batteries.

The development of bifunctional catalysts with a delicate structure, high efficiency, and good durability for the oxygen evolution reaction (ORR) and oxygen evolution reaction (OER) is crucial to renewable Zn-air batteries. In this work, CoFe alloy nanoparticles (NPs) confined in N-doped carbon with a yolk-shell structure in multi-beaded fibers were prepared as a bifunctional electrocatalyst. The confinement structure was composed of an N-doped graphitized carbon shell and a core formed by numerous CoFe NPs, and was evenly threaded into a one-dimensional fiber.

Improved amyloid burden quantification with nonspecific estimates using deep learning.

Purpose: Standardized uptake value ratio (SUVr) used to quantify amyloid-β burden from amyloid-PET scans can be biased by variations in the tracer's nonspecific (NS) binding caused by the presence of cerebrovascular disease (CeVD). In this work, we propose a novel amyloid-PET quantification approach that harnesses the intermodal image translation capability of convolutional networks to remove this undesirable source of variability.

Methods: Paired MR and PET images exhibiting very low specific uptake were selected from a Singaporean amyloid-PET study involving 172 participants with different severities of CeVD.

Fe/N-doped hollow porous carbon spheres for oxygen reduction reaction.

Herein, we design a dual-template-assisted pyrolysis method to prepare ultra-small FeO nanoparticles anchored on Fe/N-doped hollow porous carbon spheres (0.010-Fe/NHPCS-800) for oxygen reduction reaction (ORR). The synthesized SiO nanospheres, which are selected as the hard template, contribute to forming macroporous structure.

The realistic energy yield potential of GaAs-on-Si tandem solar cells: a theoretical case study.

Si based tandem solar cells represent an alternative to traditional compound III-V multijunction cells as a promising way to achieve high efficiencies. A theoretical study on the energy yield of GaAs on Si (GaAs/Si) tandem solar cells is performed to assess their energy yield potential under realistic illumination conditions with varying spectrum. We find that the yield of a 4-terminal contact scheme with thick top cell is more than 15% higher than for a 2-terminal scheme.