Ozone concentration, physical activity, and emotional and behavioral problems in children and adolescents.

Background: No prior study has examined the mutual association of long-term outdoor ozone (O) concentration and physical activity (PA) with emotional and behavioral problems (EBPs) in children and adolescents. This study aims to investigate the association between long-term outdoor O concentration and the risk of EBPs in children and adolescents and further explore whether increased PA levels modify this association.

Methods: Data were obtained from the 2020 wave follow-up examination of an ongoing prospective cohort study (COHERENCE project) in Guangzhou, China.

Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert.

Background: Air pollution is a recognized contributor to metabolic syndrome (MetS); but studies in developing regions, including China, remain limited, especially in severely polluted areas near the Taklamakan Desert.

Methods: Health data from 2,689,455 individuals aged ≥ 18 years in five regions near the Taklamakan Desert were analyzed. MetS diagnosed followed the 2016 Chinese Adult Dyslipidaemias Management Guidelines.

Development and validation of a machine learning-based framework for assessing metabolic-associated fatty liver disease risk.

Background: The existing predictive models for metabolic-associated fatty liver disease (MAFLD) possess certain limitations that render them unsuitable for extensive population-wide screening. This study is founded upon population health examination data and employs a comparison of eight distinct machine learning (ML) algorithms to construct the optimal screening model for identifying high-risk individuals with MAFLD in China.

Methods: We collected physical examination data from 5,171,392 adults residing in the northwestern region of China, during the year 2021.

tsRNA modifications: An emerging layer of biological regulation in disease.

Background: Transfer RNA (tRNA)-derived small RNA (tsRNA) represents an important and increasingly valued type of small non-coding RNA (sncRNA). The investigation of tRNA and tsRNA modification crosswalks has not only provided novel insights into the information and functions of tsRNA, but has also expanded the diversity and complexity of the tsRNA biological regulation network.

Aim Of Review: Comparing with other sncRNAs, tsRNA biogenesis show obvious correlation with RNA modifications from mature tRNA and harbor various tRNA modifications.

Circular RNA LMBR1 inhibits bladder cancer progression by enhancing expression of the protein ALDH1A3.

Background: Circular RNAs (circRNAs) have been identified as playing an integral role in the development of bladder cancer (BC). However, the mechanism by which circRNAs operate in the chemical carcinogenesis of BC remains unclear.

Methods: To explore this mechanism, we used RNA high-throughput sequencing to identify differentially expressed circRNA in bladder epithelial cells and chemically induced malignant transformed BC cells.

A Novel tsRNA, mG-3' tiRNA Lys, Promotes Bladder Cancer Malignancy Via Regulating ANXA2 Phosphorylation.

Emerging evidence indicates that transfer RNA (tRNA)-derived small RNAs (tsRNAs), originated from tRNA with high abundance RNA modifications, play an important role in many complex physiological and pathological processes. However, the biological functions and regulatory mechanisms of modified tsRNAs in cancer remain poorly understood. Here, it is screened for and confirmed the presence of a novel mG-modified tsRNA, mG-3'-tiRNA Lys (mtiRL), in a variety of chemical carcinogenesis models by combining small RNA sequencing with an mG small RNA-modified chip.

Air pollution and diabetes mellitus: Association and validation in a desert area in China.

Background: Despite the growing evidence pointing to the detrimental effects of air pollution on diabetes mellitus (DM), the relationship remains poorly explored, especially in desert-adjacent areas characterized by high aridity and pollution.

Methods: We conducted a cross-sectional study with health examination data from over 2.9 million adults in two regions situated in the southern part of the Taklamakan Desert, China.

Enhancing mA modification of lncRNA through METTL3 and RBM15 to promote malignant progression in bladder cancer.

Objective: Bladder cancer is one of the most prominent malignancies affecting the urinary tract, characterized by a poor prognosis. Our previous research has underscored the pivotal role of mA methylation in the progression of bladder cancer. Nevertheless, the precise relationship between N6-methyladenosine (mA) regulation of long non-coding RNA (lncRNA) and bladder cancer remains elusive.

Exposure to ambient air pollution and metabolic dysfunction-associated fatty liver disease: Findings from over 2.7 million adults in Northwestern China.

Ambient air pollutants exposures may lead to aggravated Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD). However, there is still a scarcity of empirical studies that have rigorously estimated this association, especially in regions where air pollution is severe. To fill in the literature gap, we conducted a cross-sectional study involving 2711,207 adults living in five regions of southern Xinjiang Uyghur Autonomous Region in 2021.

mA modification mediates SLC3A2/SLC7A5 translation in 3-methylcholanthrene-induced uroepithelial transformation.

3-Methylcholanthracene (3-MC) is one of the most carcinogenic polycyclic aromatic hydrocarbons (PAHs). Long-term exposure to PAHs has been thought of as an important factor in urothelial tumorigenesis. N-methyladenosine (mA) exists widely in eukaryotic organisms and regulates the expression level of specific genes by regulating mRNA stability, translation efficiency, and nuclear export efficiency.

Severer air pollution, poorer cognitive function: Findings from 176,345 elders in Northwestern China.

Background: Limited evidence exists regarding the link between air pollution exposure and cognitive function in developing countries, particularly in areas with abundant natural sources of particulate matter.

Objectives: To investigate this association in a large representative sample of the elderly in northwestern China.

Methods: We performed a cross-sectional study among 176,345 participants aged 60-100 years in northwestern China in 2020.

Investigation of the Relationship between Permanent Deformation and Dynamic Modulus Performance for Bearing-Layer Asphalt Mixture.

Of major concern is the lack of correlation between the material design and structural function of asphalt pavement in China. The objective of this paper is to identify the layer in asphalt pavement where permanent deformation occurs most seriously and to propose a control index for that layer's asphalt mixture. The permanent deformation of each layer was determined through the utilization of thickness measurements obtained from field cores.

FGSI: distant supervision for relation extraction method based on fine-grained semantic information.

Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph construction. Remote supervised relation extraction aligns knowledge bases with natural language texts and generates labeled data, which alleviates the burden of manually annotating datasets.

Machine learning for predicting diabetes risk in western China adults.

Objective: Diabetes mellitus is a global epidemic disease. Long-time exposure of patients to hyperglycemia can lead to various type of chronic tissue damage. Early diagnosis of and screening for diabetes are crucial to population health.

Age-related decline of online visuomotor adaptation: a combined effect of deteriorations of motor anticipation and execution.

The literature has established that the capability of visuomotor adaptation decreases with aging. However, the underlying mechanisms of this decline are yet to be fully understood. The current study addressed this issue by examining how aging affected visuomotor adaptation in a continuous manual tracking task with delayed visual feedback.

TROP2 translation mediated by dual mA/mG RNA modifications promotes bladder cancer development.

RNA modifications, including adenine methylation (mA) of mRNA and guanine methylation (mG) of tRNA, are crucial for the biological function of RNA. However, the mechanism underlying the translation of specific genes synergistically mediated by dual mA/mG RNA modifications in bladder cancer (BCa) remains unclear. We demonstrated that mA methyltransferase METTL3-mediated programmable mA modification of oncogene trophoblast cell surface protein 2 (TROP2) mRNA promoted its translation during malignant transformation of bladder epithelial cells.

Targeted mA demethylation of ITGA6 mRNA by a multisite dCasRx-mA editor inhibits bladder cancer development.

Introduction: N6-methyladenosine (mA) modification contributes to the pathogenesis and development of various cancers, including bladder cancer (BCa). In particular, integrin α6 (ITGA6) promotes BCa progression by cooperatively regulating multisite mA modification. However, the therapeutic effect of targeting ITGA6 multisite mA modifications in BCa remains unknown.

N-methyladenosine mediates Nrf2 protein expression involved in PM2.5-induced pulmonary fibrosis.

It has been reported that particulate matter with an aerodynamic diameter of <2.5 µm (PM2.5) could induce epithelial-mesenchymal transition (EMT)- and extracellular matrix (ECM)-related pulmonary fibrosis (PF).

Development and Validation of a Chinese Resilience Scale for Young Children.

(1) Background: Resilience research began in the child population as a validity scale to describe children's psychological wellbeing and ability to cope with negative events, and to some extent, to predict recovery and adaptation when they experience adversity again. In view of the important developmental implications of resilience in young children and the lack of a Chinese children's resilience scale, this study developed a resilience scale for young Chinese children based on a systematic review of existing international resilience scales and the characteristics of the Chinese cultural background. (2) Methods: The scale was developed by referring to existing scales, expert interviews, item collation and item finalization, developing original items, then deleting and determining items through item analysis, and finally, comparing with existing scales to obtain the internal and external validity of this scale.

Design and development of a disease-specific clinical database system to increase the availability of hospital data in China.

Purpose: In order to meet restrictions and difficulties in the development of hospital medical informatization and clinical databases in China, in this study, a disease-specific clinical database system (DSCDS) was designed and built. It provides support for the full utilization of real world medical big data in clinical research and medical services for specific diseases.

Methods: The development of DSCDS involved (1) requirements analysis on precision medicine, medical big data, and clinical research; (2) design schematics and basic architecture; (3) standard datasets of specific diseases consisting of common data elements (CDEs); (4) collection and aggregation of specific disease data scattered in various medical business systems of the hospital; (5) governance and quality improvement of specific disease data; (6) data storage and computing; and (7) design of data application modules.

Cross-domain few-shot learning based on pseudo-Siamese neural network.

Cross-domain few-shot learning is one of the research highlights in machine learning. The difficulty lies in the accuracy drop of cross-domain network learning on a single domain due to the differences between the domains. To alleviate the problem, according to the idea of contour cognition and the process of human recognition, we propose a few-shot learning method based on pseudo-Siamese convolution neural network.

Latent profiles of psychological status among populations cumulatively exposed to a flood and the recurrence of the COVID-19 pandemic in China.

Henan Province in Central China was hit by unprecedented, rain-triggered floods in July 2021 and experienced a recurrence of the COVID-19 pandemic. The current study aims to identify the latent profiles of psychological status and acceptance of change among Henan residents who have been cumulatively exposed to these floods and the COVID-19 pandemic. A total of 977 participants were recruited.

Structural covariance network of the hippocampus-amygdala complex in medication-naïve patients with first-episode major depressive disorder.

Background: The hippocampus and amygdala are densely interconnected structures that work together in multiple affective and cognitive processes that are important to the etiology of major depressive disorder (MDD). Each of these structures consists of several heterogeneous subfields. We aim to explore the topologic properties of the volume-based intrinsic network within the hippocampusamygdala complex in medication-naïve patients with first-episode MDD.

Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.

Objective: To develop an optimal screening model to identify the individuals with a high risk of hypertension in China by comparing tree-based machine learning models, such as classification and regression tree, random forest, adaboost with a decision tree, extreme gradient boosting decision tree, and other machine learning models like an artificial neural network, naive Bayes, and traditional logistic regression models.

Methods: A total of 4,287,407 adults participating in the national physical examination were included in the study. Features were selected using the least absolute shrinkage and selection operator regression.