Genome-wide DNA methylation and transcriptome sequencing analyses of lens tissue in an age-related mouse cataract model.

DNA methylation is known to be associated with cataracts. In this study, we used a mouse model and performed DNA methylation and transcriptome sequencing analyses to find epigenetic indicators for age-related cataracts (ARC). Anterior lens capsule membrane tissues from young and aged mice were analyzed by MethylRAD-seq to detect the genome-wide methylation of extracted DNA.

Construction on training course and training quality evaluation index system of chronic disease medication therapy management service (MTMs) in China: A Delphi study.

Objective: This study aims to construct a training course and quality evaluation index system for chronic disease Medication Therapy Management service (MTMs) that is suitable for China's national conditions. It seeks to provide tools and a scientific foundation for assessing the quality of MTMs training.

Methods: Drawing from domestic and international literature and combining with the practice of chronic disease medication management by Chinese pharmacists, a preliminary framework for the evaluation index system was established.

Comprehensive analysis of ceRNA Networks in UCEC: Prognostic and therapeutic implications.

Endometrial cancer (UCEC) is the most prevalent gynecological malignancy in high-income countries, and its incidence is rising globally. Although early-stage UCEC can be treated with surgery, advanced cases have a poor prognosis, highlighting the need for effective molecular biomarkers to improve diagnosis and prognosis. In this study, we analyzed mRNA and miRNA sequencing data from UCEC tissues and adjacent non-cancerous tissues from the TCGA database.

Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer.

Colon cancer, as a highly prevalent malignant tumor globally, poses a significant threat to human health. In recent years, ferroptosis and cuproptosis, as two novel forms of cell death, have attracted widespread attention for their potential roles in the development and treatment of colon cancer. However, the investigation into the subtypes and their impact on the survival of colon cancer patients remains understudied.

Selection and optimization of drive nodes in drive-response networks.

This paper considers the selection and optimization of drive nodes based on the controllability of multilayer networks. The intra-layer network topologies are arbitrary, and the node dynamics are linear time-invariant dynamical systems. The study focuses on the number and selection of drive nodes in a special class of drive-response networks.

The effects of integrated traditional Chinese and western medicine rehabilitation programs on post-acute ankle sprain: A randomized controlled trial study protocol.

Background: Ankle sprain is a common clinical disease, which has the highest incidence rate among joint and ligament injuries. And acute ankle sprains can easily develop into chronic ankle instability, thereby increasing the difficulty of treatment. The current clinical guidelines for post-acute ankle sprains are still controversial.

Analysis of glutamate-dependent mechanism and optimization of fermentation conditions for poly-gamma-glutamic acid production by Bacillus subtilis SCP017-03.

Poly-gamma-glutamic acid (γ-PGA) is mainly synthesized by glutamate-dependent strains in the manufacturing industry. Therefore, understanding glutamate-dependent mechanisms is imperative. In this study, we first systematically analyzed the response of Bacillus subtilis SCP017-03 to glutamate addition by comparing transcriptomics and proteomics.

EDEM-based study on the adjustable feeding parameters of square bale maize straw bale-breaking device.

One of the primary challenges faced by small rubbing filament machines is the significant variability in material sizes, particularly in the feeding direction. This variability complicates the processing of locally baled straw with a single device. To address this issue, an adjustable feeding and bale-breaking device was developed and tested to enhance the filamentous performance of baled straw.

ISLRWR: A network diffusion algorithm for drug-target interactions prediction.

Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). We applied the metropolis-hasting random walk (MHRW) algorithm to improve the performance of the random walk with restart (RWR) algorithm, forming the basis by which the self-loop probability of the current node is removed.

A cross-sectional study on the assessment of adherence to cardiovascular medications in Sudan heart center.

Background: Non-adherence to cardiovascular medications is a global problem with clinical, economic, and humanistic consequences. Investigation of this problem may open the road for proper management of cardiovascular diseases.

Objective: Our objectives were to assess the level of adherence to, and to examine factors influencing adherence to, cardiovascular medications in subjects visiting a heart center in Sudan.

SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing.

Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. It is difficult to obtain detailed building changes entirely, and redundant information is reused in the encoding stage, which reduces the feature representation and detection performance. To address these limitations, we design a Siamese network of shared attention aggregation to learn the detailed semantics of buildings in multispectral remote sensing images.

High pulse pressure is associated with an increased risk of prediabetes in hypertensive individuals: A retrospective study based on an adult Chinese population.

Objectives: The pulse pressure (PP) is an important factor influencing the outcomes of diabetes. However, the relationship between the PP and prediabetes has been rarely studied and how this association might be impacted by hypertension is not clear.

Methods: In this study, we retrospectively included 184,252 adults from 32 regions in China, spanning from 2010 to 2016.

New information on Bonapartenykus (Alvarezsauridae: Theropoda) from the Allen Formation (middle Campanian-lower Maastrichtian) of Río Negro Province, Patagonia, Argentina clarifies the Patagonykinae body plan.

Alvarezsauria is a group of morphologically distinctive, medium- to small-sized later-diverging coelurosaurian theropod dinosaurs, whose record ranges from the Late Jurassic to the Late Cretaceous. This clade had a widespread distribution in Laurasia in what is now Europe, Asia, and North America, although there are also several Cretaceous taxa from Gondwana in what is now Argentina that all belong to the family Alvarezsauridae. Although alvarezsaurid taxonomic diversity and anatomical knowledge has expanded over the last decade, alvarezsaurid internal phylogenetic relationships remain highly debated.

The physical activity and sedentary behavior among pregnant women in Macao: A cross-sectional study.

Objective: The current investigation sought to elucidate the prevalence and contributing factors of sedentary behavior among pregnant women in Macao, a densely populated region characterized by a distinctive fusion of Eastern and Western cultures and a thriving global economy.

Methods: Through a cross-sectional study design, a total of 306 expectant mothers were recruited via various social media platforms and completed a sociodemographic questionnaire alongside the Chinese version of the Pregnancy Physical Activity Questionnaire.

Results: The findings revealed that sedentary activities accounted for a relatively small proportion (7.

Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain.

Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. Therefore, the present study adopts a stochastic approach to reveal the distribution characteristics of soil moisture in agroecosystems under the effects of soil, climate, vegetation, and other influencing factors. Using soil moisture and precipitation data and based on a stochastic model of soil moisture dynamics, the point-scale soil moisture dynamic characteristics and soil moisture probability density function of farmland systems in the Songnen Plain region were investigated.

Generating context-specific sports training plans by combining generative adversarial networks.

Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.

Evaluation of the practical application of the category-imbalanced myeloid cell classification model.

The incidence of acute myeloid leukemia (AML) is increasing annually, and timely diagnostic and treatments can substantially improve patient survival rates. AML typing traditionally relies on manual microscopy for classifying and counting myeloid cells, which is time-consuming, laborious, and subjective. Therefore, developing a reliable automated model for myeloid cell classification is imperative.

Abnormalities in male gametophytes development responsible for low seed set of Peudosasa subsolida.

Pseudosasa subsolida belongs to the Pseudosasa genus within the Poaceae family. Due to its unique flowering cycle and the physiological traits associated with asexual reproduction, acquiring floral material from P. subsolida is particularly challenging.

IL-34 aggravates myocardial ischemia-reperfusion injury by upregulating the HMGB1-IL-17A-IL-6 axis through the JAK signaling pathway.

Interleukin-34 (IL-34) was recently reported to be a new biomarker for atherosclerosis diseases, such as coronary artery disease and vascular dementia. IL-34 regulates the expression of proinflammatory cytokines (IL-17A, IL-1 and IL-6), which are classical cytokines involved in myocardial ischemia‒reperfusion (MI/R) injury. However, the exact role of IL-34 in MI/R remains unknown.

Exploring the textural characteristics of foods preferred by Chinese elderly individuals based on IDDSI levels.

Objective: This study aimed to investigate the textural characteristics of foods preferred by elderly Chinese individuals and their suitability based on the International Dysphagia Diet Standardization Initiative (IDDSI) framework. The goal was to provide objective data to support the development of safe and nutritious diets tailored to the swallowing abilities of the elderly.

Methods: A cross-sectional observational study was conducted, using web-scraping technology to identify 26 commonly preferred food ingredients among elderly individuals across seven regions of China.

Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model.

The built environment is an important determinant of travel demand and mode choice. Studying the relationship between the built environment and transportation usage can support and assist traffic policy interventions. Previous studies often assumed that this relationship is linear; however, the impact of the built environment on non-motorized travel efficiency may be more complex than the typically modeled linear relationships.

Relationship between the density of in soil at harvest evaluated using real-time PCR and sweetpotato disease incidence.

Sweetpotato Stem Rot Nematode () causes the most devastating disease affecting sweetpotato production in China. The objectives of this study were: i) establish a quantification method using real-time PCR for of sweetpotato; ii) analyze the effect of density at harvest on the percentage of disease incidence in sweetpotatoes; and iii) evaluate the effect of soil physical properties on disease incidence. Populations of isolated from 28 different production areas in Henan Province exhibited identical sequences, and then real-time PCR specific primers (PRNf and PRNr) were designed.

First report of Gulupa baciliform virus A associated with passion fruit in China.

Passion fruit (Passiflora edulis) is a commercially important crop known for its nutritional value, high antioxidant content, and use in beverages and desserts. Gulupa baciliform virus A (GBVA), tentatively named Badnavirus in the family Caulimoviridae, is a cryptic circular double-stranded DNA (dsDNA, ≈6,951 bps) virus recently reported in Colombia with asymptomatic infection of passion fruit (Sepúlveda et al. 2022).

Transcription factors HmeWRKY33 and HmeWRKY51 regulate the susceptibility of pitaya to canker disease.

Pitaya canker disease, caused by , is the primary threat to pitaya cultivation, significantly compromising fruit quality and reducing yield. WRKY transcription factors are essential regulators in plant pathogen recognition and defense mechanisms, yet their specific roles in the development of pitaya canker disease remain largely unexplored. In this study, five genes (, , , , and ) associated with pitaya canker disease were identified through RNA-Seq analysis.