The relationship between physical literacy and physical activity: A systematic review and meta-analysis.

With physical inactivity becoming a worldwide crisis, physical literacy is recognized as a potential gateway for the promotion of physical activity. This study intended to examine the relationship between physical literacy and physical activity and examine whether there exist potential moderators of this relationship. Six databases including PubMed, ScienceDirect, ProQuest, Web of Science, ERIC, and PsycINFO were searched on April 11th, 2024 for the last time.

Enhanced score-based priors-boosted generative model for resolution breakthrough in photoacoustic tomography.

Photoacoustic tomography (PAT), a non-invasive biomedical imaging modality, integrates optical contrast with acoustic depth resolution. However, industry-standard ultrasonic transducers exhibit limited bandwidth, inherently degrading image resolution in conventional reconstruction. To address this, we propose a sinogram-domain signal spectral reconstruction method based on an enhanced score-based diffusion model (ESDM).

Assessment of lipid parameters and its association with risk of stage 1 hypertension: a cohort study in middle-aged and elderly Chinese.

Background: There is a correlation between dyslipidemia and elevated blood pressure, but the relationship between different lipid parameters and elevated blood pressure is inconsistent. Therefore, understanding the impact of dyslipidemia on blood pressure is significant for the prevention and control of ASCVD. Our study is aimed at assessing longitudinally the correlation between lipid parameters and the incidence of stage 1 hypertension in a large Chinese community population.

Real-world defocus deblurring via score-based diffusion models.

Defocus blur commonly arises from the cameras' depth-of-field limitations. While the deep learning method shows promise for image restoration problems, defocus deblurring requires accurate training data comprising pairs of all-in-focus and defocus images, which can be difficult to collect in real-world scenarios. To address this problem, we propose a high-resolution iterative deblurring method for real scenes driven by a score-based diffusion model.

Generative priors-constraint accelerated iterative reconstruction for extremely sparse photoacoustic tomography boosted by mean-reverting diffusion model: Towards 8 projections.

As a novel non-invasive hybrid biomedical imaging technology, photoacoustic tomography combines the advantages of high contrast of optical imaging and high penetration of acoustic imaging. However, the conventional standard reconstruction methods under sparse view may lead to low-quality image in photoacoustic tomography. To address this problem, an advanced sparse reconstruction method for photoacoustic tomography based on the mean-reverting diffusion model is proposed.

Relationship between physical literacy and mental health in adolescents: a moderated mediation model with resilience and physical activity as variables.

Introduction: Physical literacy is defined as the motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for engaging in physical activities for life, and may be associated with higher mental health; however, few studies have explored the processes underlying these positive associations.

Objectives: The present study aimed to explore the role of resilience in the relationship between physical literacy and mental health, and further examines the mediating role of physical activity.

Methods: This cross-sectional study recruited a sample of 1,022 (aged 10-18 years, Mage = 14.

Therapeutic dose prediction using score-based diffusion model for pretreatment patient-specific quality assurance.

Objectives: Implementing pre-treatment patient-specific quality assurance (prePSQA) for cancer patients is a necessary but time-consuming task, imposing a significant workload on medical physicists. Currently, the prediction methods used for prePSQA fall under the category of supervised learning, limiting their generalization ability and resulting in poor performance on new data. In the context of this work, the limitation of traditional supervised models was broken by proposing a conditional generation method utilizing unsupervised diffusion model.

Ultra-sparse reconstruction for photoacoustic tomography: Sinogram domain prior-guided method exploiting enhanced score-based diffusion model.

Photoacoustic tomography, a novel non-invasive imaging modality, combines the principles of optical and acoustic imaging for use in biomedical applications. In scenarios where photoacoustic signal acquisition is insufficient due to sparse-view sampling, conventional direct reconstruction methods significantly degrade image resolution and generate numerous artifacts. To mitigate these constraints, a novel sinogram-domain priors guided extremely sparse-view reconstruction method for photoacoustic tomography boosted by enhanced diffusion model is proposed.

The benefits of physical literacy for human flourishing: A machine learning-based exploration of adolescents.

Physical literacy is a multidimensional concept considered fundamental for lifelong participation in physical activity. Although theories on the relationship between physical literacy and human flourishing have been proposed, no comprehensive study of this relationship in adolescents has been found. This study aimed to predict human flourishing variables (physical activity, physical health, mental health, and academic performance) that correlate highly with adolescents' physical literacy.

Score-based generative model-assisted information compensation for high-quality limited-view reconstruction in photoacoustic tomography.

Photoacoustic tomography (PAT) regularly operates in limited-view cases owing to data acquisition limitations. The results using traditional methods in limited-view PAT exhibit distortions and numerous artifacts. Here, a novel limited-view PAT reconstruction strategy that combines model-based iteration with score-based generative model was proposed.

How does physical activity improve adolescent resilience? Serial indirect effects self-efficacy and basic psychological needs.

Background: Resilience is vital for improving mental health and well-being during adolescence, which is an important yet vulnerable period. Previous research has indicated that physical activity enhances individual resilience. However, limited studies have examined underlying psychological mechanisms between them.

Predictive factors of students' physical activity in different learning interest phases: A cluster analysis of physical education.

Introduction: This study investigates the relationships among students' perception of the sports environment, expectancy value, achievement goals, physical activity, sports knowledge and skills in physical education (PE) in different learning interest phases.

Method: This cross-sectional study used a sample of 4367 Chinese primary and secondary school students enrolled in PE classes, M  = 12.1, SD = 2.

The involvement of ADAR1 in chronic unpredictable stress-induced cognitive impairment by targeting DARPP-32 with miR-874-3p in BALB/c mice.

Chronic stress exposure is the main environmental factor leading to cognitive impairment, but the detailed molecular mechanism is still unclear. Adenosine Deaminase acting on double-stranded RNA1(ADAR1) is involved in the occurrence of chronic stress-induced cognitive impairment. In addition, dopamine and Adenosine 3'5'-monophosphate-regulated phospho-protein (DARPP-32) gene variation affects cognitive function.

Identification of Crucial Genes and Key Functions in Type 2 Diabetic Hearts by Bioinformatic Analysis.

Type 2 diabetes (T2D) patients with SARS-CoV-2 infection hospitalized develop an acute cardiovascular syndrome. It is urgent to elucidate underlying mechanisms associated with the acute cardiac injury in T2D hearts. We performed bioinformatic analysis on the expression profiles of public datasets to identify the pathogenic and prognostic genes in T2D hearts.

KCOSS: an ultra-fast k-mer counter for assembled genome analysis.

Motivation: The k-mer frequency in whole genome sequences provides researchers with an insightful perspective on genomic complexity, comparative genomics, metagenomics and phylogeny. The current k-mer counting tools are typically slow, and they require large memory and hard disk for assembled genome analysis.

Results: We propose a novel and ultra-fast k-mer counting algorithm, KCOSS, to fulfill k-mer counting mainly for assembled genomes with segmented Bloom filter, lock-free queue, lock-free thread pool and cuckoo hash table.

Evaluation of the correlation between infrared thermal imaging-magnetic resonance imaging-pathology of microwave ablation of lesions in rabbit lung tumors.

Purpose: This study aimed to evaluate the correlation between infrared thermal imaging-magnetic resonance imaging (MRI)-pathology of microwave ablation (MWA) of lesions in rabbit lung tumors.

Materials And Methods: MR-guided MWA was performed in nine VX2 tumor-bearing rabbits. Infrared thermal imaging, postoperative MRI, and pathological presentation were obtained and analyzed.

Epidermal growth factor promotes stromal cells migration and invasion via up-regulation of hyaluronate synthase 2 and hyaluronan in endometriosis.

Objective: To investigate the role(s) of hyaluronan synthase 2 (HAS2) and hyaluronan in disease progression of endometriosis and epidermal growth factor (EGF)-induced motility changes of endometriotic cells.

Design: A case-control experimental study and in vitro primary cell culture study.

Setting: University hospital-affiliated research centers.

An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization.

Multiobjective multitasking optimization (MTO), which is an emerging research topic in the field of evolutionary computation, was recently proposed. MTO aims to solve related multiobjective optimization problems at the same time via evolutionary algorithms. The key to MTO is the knowledge transfer based on sharing solutions across tasks.

Upregulation of S100A6 in patients with endometriosis and its role in ectopic endometrial stromal cells.

S100 calcium-binding protein A6 (S100A6) is up-regulated in many malignancies and overexpression of S100A6 has been identified associated with proliferation, migration and invasion phenotype in several cancer cells. In the present study, we explored whether S100A6 plays a role in the development of endometriosis. Significantly higher levels of mRNA and protein expression of S100A6 were observed in ectopic endometrial tissues compared to eutopic and normal endometrial tissues.

7-ketocholesteryl-9-carboxynonanoate enhances ATP binding cassette transporter A1 expression mediated by PPARγ in THP-1 macrophages.

Background: ATP binding cassette transporter A1 (ABCA1) is a member of the ATP-binding cassette transporter family. It plays an essential role in mediating the efflux of excess cholesterol. It is known that peroxisome proliferator-activated receptor gamma (PPARγ) promoted ABCA1 expression.

[The role of matrix metalloproteinases-9 and tissue inhibitor of metalloproteinaes-1 in chronic obstructive pulmonary disease].

Objective: To evaluate the role of matrix metalloproteinases-9 (MMP-9) and tissue inhibitor of metalloproteinases-1 (TIMP-1) in the pathogenesis of chronic obstructive pulmonary disease (COPD).

Methods: Five milliliters of peripheral venous blood were extracted form 36 patients with COPD, subdivided into stable group (CS group, n = 12), exacerbation group (CE group, n = 12), and exacerbation group with glucocorticosteroids treatment (CE + G group, n = 12), and 12 normal controls. The peripheral blood mononuclear cells (PBMCs) were isolated and the mRNA expressions of MMP-9 and TIMP-1 therein in each group were measured by RT-PCR quantitative analysis.