Association between the changes in the estimated glucose disposal rate and new-onset cardiovascular disease in middle-aged and elderly individuals: A nationwide prospective cohort study in China.

Aims: Previous studies have shown that eGDR and TyG, as indicators of insulin resistance (IR), were key risk factors for cardiovascular disease (CVD). Our study further explored the relationship between eGDR change and new-onset CVD, and compared the predictive value of eGDR change, eGDR and TyG.

Materials And Methods: A total of 2895 participants without CVD at baseline from the China Health and Retirement Longitudinal Study (CHARLS) were included, using K-means clustering and cumulative eGDR to measure eGDR change between 2012 and 2015.

Efficacy of intermittent fasting on improving liver function in individuals with metabolic disorders: a systematic review and meta-analysis.

Background: Intermittent fasting (IF) can be an effective dietary therapy for weight loss and improving cardiometabolic health. However, there is scant evidence regarding the role of IF on indicators of liver function, particularly in adults with metabolic disorders. Therefore, we performed a systematic review and meta-analysis to investigate the effects of IF on liver function in adults with metabolic disorders.

A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection.

Background: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analysis of electroencephalogram (EEG) signals have garnered widespread attention, particularly in the area of seizure recognition.

Methods: A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study.

Preliminary study on unlocking growth and yield potential of USDA foxtail millet (Setaria italica L.) lines with NPK fertilization.

Foxtail millet (Setaria italica L.) is nutritionally superior to other cereals of the family Poaceae, with the potential to perform better in marginal environments. In the present context of climate change, ecologically sound and low-input foxtail millet varieties can be chosen for agricultural sustainability.

Characterization and genomic analysis of a jumbo phage, PG216, with broad lytic activity against several Vibrio species.

In this study, a lytic phage, named PG216, was obtained from seawater collected in Qingdao, using Vibrio parahaemolyticus strain G299 as its host. Transmission electron microscopy revealed that phage PG216 has an icosahedral head with a diameter of 100 ± 6.7 nm and a contractible tail with a length of 126 ± 6.

Algae- and bacteria-based biodegradation of phthalic acid esters towards the sustainable green solution.

Phthalic acid esters are widely used worldwide as plasticizers. The high consumption of phthalates in China makes it the world's largest plasticizer market. The lack of phthalic acid ester's chemical bonding with the polymer matrix facilitates their detachment from plastic products and subsequent release into the environment and causes serious threats to the health of living organisms.

Synthesis of N-doped Carbon Quantum Dots as an Effective Fluorescent Sensor of Fe Ions and a Potent Antibacterial Agent.

In this study, a simple and efficient method for synthesizing nitrogen-doped carbon quantum dots (N-CQDs) has been developed through a one-step hydrothermal process using hedyotis diffusa willd. The morphology, chemical composition, and optical properties of the resulting N-CQDs were thoroughly characterized. The synthesized N-CQDs exhibited a spherical shape with an average particle size of 4.

Characterization and Correlation Analysis of Bacterial Composition and Physicochemical Quality in High- and Medium-Temperature Daqu from China's Binzhou Region.

To investigate the bacterial community structure and physicochemical characteristics of different types of Daqu in the Binzhou region, this study employed traditional pure culture methods, high-throughput sequencing technology, and conventional physicochemical assays for analysis. The research results indicate that Enterococcus faecium and Bacillus licheniformis emerged as the main LAB and Bacillus species in Daqu from Binzhou region, respectively. In addition, high-throughput sequencing revealed significant differences in bacterial community structure between the two types of Daqu (P < 0.

Machine learning-based estimation of crude oil-nitrogen interfacial tension.

Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil - nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs.

Abnormal ac4C modification in metabolic dysfunction associated steatotic liver cells.

The pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear due to the complexity of its etiology. The emerging field of the epitranscriptome has shown significant promise in advancing the understanding of disease pathogenesis and developing new therapeutic approaches. Recent research has demonstrated that N4-acetylcytosine (ac4C), an RNA modification within the epitranscriptome, is implicated in progression of various diseases.

A universal gene expression signature-based strategy for the high-throughput discovery of anti-inflammatory drugs.

Background: Traditional Chinese medicine (TCM) is a valuable resource for drug discovery and has demonstrated excellent efficacy in treating inflammatory diseases. This study aimed to develop a universal gene signature-based strategy for high-throughput discovery of anti-inflammatory drugs, especially Traditional Chinese medicine (TCM).

Methods: The disease gene signature of liposaccharide-stimulated THP-1 cells and drug gene signatures of 655 drug candidates were established via sequencing.

Attention activation network for bearing fault diagnosis under various noise environments.

Bearings are critical in mechanical systems, as their health impacts system reliability. Proactive monitoring and diagnosing of bearing faults can prevent significant safety issues. Among various diagnostic methods that analyze bearing vibration signals, deep learning is notably effective.

Application of big data technology in enterprise information security management.

This study aims to explore the application value of big data technology (BDT) in enterprise information security (EIS). Its goal is to develop a risk prediction model based on big data analysis to enhance the information security protection capability of enterprises. A big data analysis system that can monitor and intelligently identify potential security risks in real-time is constructed by designing complex network analysis algorithms and machine learning models.

Core-genome guided novel therapeutic targets identification and chimeric vaccine designing against Rickettsia rickettsii.

Rocky Mountain Spotted Fever, caused by the gram-negative intracellular bacteria Rickettsia rickettsii, is a serious tick-borne infection with a fatality rate of 20-30%, if not treated. Since it is the most serious rickettsial disease in North America, modified prevention and treatment strategies are of critical importance. In order to find new therapeutic targets and create multiepitope vaccines, this study integrated subtractive proteomics with reverse vaccinology.

Vitiligo detection capabilities of 1D photonic crystal biosensing design.

This theoretical work focuses on the application of Tamm resonance-based biosensing using a one-dimensional photonic crystal for detecting skin vitiligo, a condition caused by the loss of pigment in the body. This biosensor utilizes the interaction of light with the photonic structure to identify the specific biomarkers associated with vitiligo. The proposed structure is composed of prism/Ag/skin-sample/(GaP/PS)/glass.

Termination-acidity tailoring of molybdenum carbides for alkaline hydrogen evolution reaction.

Transition-metal carbides have been advocated as the promising alternatives to noble-metal platinum-based catalysts in electrocatalytic hydrogen evolution reaction over half a century. However, the effectiveness of transition-metal carbides catalyzing hydrogen evolution in high-pH electrolyte is severely compromised due to the lowered proton activity and intractable alkaline-leaching issue of transition-metal centers. Herein, on the basis of validation of molybdenum-carbide model-catalyst system by taking advantage of surface science techniques, MoC micro-size spheres terminated by Al doped MoO layer exhibit a notable performance of alkaline hydrogen evolution with a near-zero onset-potential, a low overpotential (40 mV) at a typical current density of 10 mA/cm, and a small Tafel slope (45 mV/dec), as well as a long-term stability for continuous hydrogen production over 200 h.

Two-year follow-up of gait and postural control following initiation of recombinant human tripeptidyl intracerebroventricular enzyme replacement therapy in two atypical CLN2 patients.

Neuronal ceroid lipofuscinosis type 2 (CLN2) is a rapidly progressive neurodegenerative disorder leading to premature mortality. Ambulatory CLN2 patients typically receive standard of care treatment through biweekly intracerebroventricular (ICV) enzyme replacement therapy (ERT) involving recombinant human tripeptidyl peptidase 1, known as cerliponase alfa (Brineura, Biomarin Pharmaceuticals). This study longitudinally assessed the impact of ICV cerliponase alfa ERT on gait, and postural control across a two-year span in two siblings diagnosed with atypical CLN2 disease.

Cell free supernatants of Bifidobacterium adolescentis and Bifidobacterium longum suppress the tumor growth in colorectal cancer organoid model.

The probiotic gut microbiome and its metabolites are pivotal in regulating host metabolism, inflammation, and immunity. Host genetics, colonization at birth, the host lifestyle, and exposure to diseases and drugs determine microbial composition. Dysbiosis and disruption of homeostasis in the beneficial microbiome have been reported to be involved in the tumorigenesis and progression of colorectal cancer (CRC).

Seepage mode in lamina-developed shale oil reservoirs under strong heterogeneous and strong fluid-solid coupling in Jiyang depression of China.

The laminae of varying lithologies are characteristic of shale oil reservoirs, with their pronounced heterogeneity and fluid-solid coupling significantly impacting oil productivity. To this end, this study initially quantified the permeability and mechanical heterogeneity in lamina-developed shale through permeability tests and quasi triaxial mechanical experiments on shale cores from different orientations in the Jiyang Depression. These tests revealed marked brittleness in horizontally oriented cores and elasticity in vertically oriented cores.

A global analysis of dairy consumption and incident cardiovascular disease.

The role of dairy products in cardiovascular disease (CVD) prevention remains controversial. This study investigates the association between dairy consumption and CVD incidence using data from the China Kadoorie Biobank and the UK Biobank, complemented by an updated meta-analysis. Among Chinese participants, regular dairy consumption (primarily whole milk) is associated with a 9% increased risk of coronary heart disease (CHD) and a 6% reduced risk of stroke compared to non-consumers.

College major decision making behavior of urban and rural students under cultural capital impact in China.

Academic major selection is a critical decision-making process influenced by various socioeconomic factors. This study investigates the behavioral patterns in educational choices, focusing on the impact of urban-rural background and family cultural capital on college students' major selection in China. Employing a mixed-methods approach, we analyzed data from a nationwide sample of 19,772 college students across various institution types.

Expert consensus on pulpotomy in the management of mature permanent teeth with pulpitis.

Pulpotomy, which belongs to vital pulp therapy, has become a strategy for managing pulpitis in recent decades. This minimally invasive treatment reflects the recognition of preserving healthy dental pulp and optimizing long-term patient-centered outcomes. Pulpotomy is categorized into partial pulpotomy (PP), the removal of a partial segment of the coronal pulp tissue, and full pulpotomy (FP), the removal of whole coronal pulp, which is followed by applying the biomaterials onto the remaining pulp tissue and ultimately restoring the tooth.

[Characteristics of RET gene rearrangement detected by fluorescence in situ hybridization in lung cancer].

To investigate the characteristics of RET gene rearrangement revealed by fluorescence in situ hybridization (FISH) in lung cancer. A total of 616 formalin-fixed paraffin-embedded surgical samples from lung adenocarcinomas with wild-type EGFR gene and no ALK protein expression by immunohistochemistry obtained at Peking Union Medical College Hospital, Beijing, China between December 2019 and April 2022 were included. Thirty-three tumors with RET gene rearrangement determined by imbalanced-based reverse-transcription droplet digital PCR (RT-ddPCR) were analyzed using break-apart FISH.

Lipid metabolic remodeling delays senescence of T cells to potentiate their immunity against solid tumors.

Background: Tumor cells can drive the senescence of effector T cells by unbalancing their lipid metabolism, thereby limiting adoptive T cell therapy and contributing to tumor immune evasion. Our objective is to provide a feasible strategy for enhancing T cell treatment efficacy against solid tumors.

Methods: In this study, liposomal arachidonyl trifluoromethyl ketone (ATK) was anchored onto the adoptive T cell surface via bioorthogonal reactions, aiming to specifically inhibit the group IVA cytosolic phospholipase Aα (cPLAα), a key enzyme facilitating phospholipid metabolism and senescent state of T cells.