Data mining of adverse drug event signals with Nirmatrelvir/Ritonavir from FAERS.

Nirmatrelvir/Ritonavir, acting as an effective agent against COVID-19, has achieved considerable results in clinical studies in terms of drug efficacy. However, there is little research about its medication safety. Based on the FDA adverse event reporting system (FAERS) database, this study aims to mine the adverse reaction signals of the latest major recommended drug Nirmatrelvir/Ritonavir for the antiviral treatment of COVID-19, so as to provide a basis for safe and rational drug use.

Assessment of grazing livestock balance on the Eastern Mongolian Plateau based on remote sensing monitoring and grassland carrying capacity evaluation.

Rational utilization of natural resources is crucial in arid and semi-arid areas due to their vulnerable ecosystems and low resource resilience. Achieving a balance between grassland production and livestock grazing, known as the pasture-livestock balance, is essential for the sustainable development of grassland resources on the Mongolian Plateau (MP). This study focuses on the grassland regions of 8 provinces in eastern Mongolia (MNG) and 7 leagues in Inner Mongolia (IMNG), China, during the period from 2018 to 2022.

Apatite textural and geochemical insights into the petrogenesis of intrusive rocks.

Apatite is widely used as an indicator mineral to reflect the characteristics and petrogenesis of host magma. In this study, we present apatite geochemical and in-situ Sr-Nd isotopic data of monzogranite, granodiorite and dioritic enclave in the eastern Songnen-Zhangguangcai Range Massif, aiming to fingerprinting their petrogenesis and magmatic evolution processes. Based on apatite textures and geochemistry characteristics, the apatites were categorized into two distinct groups.

Segmented constitutive relationship of weakly cemented sandstone and numerical implementation based on homogeneity.

A deep understanding of the mechanical properties of weakly cemented sandstones in coal-bearing strata is crucial for ensuring the safety of coal mining operations. This study addresses this problem by investigating the deformation characteristics of such rocks through triaxial compression tests, and a novel piecewise constitutive model was developed, integrating the Double-strain Hoek model (TPHM) and statistical damage theory. The outcomes highlight several key findings: (1) The experiments revealed a distinct compaction stage in weakly cemented sandstone, which becomes shorter with an increase in confining pressure, highlighting a significant mechanical property of these rocks.

Study on spontaneous combustion characteristics of coal under thermo mechanical coupling.

The increase of coal seam mining depth leads to the increase of ground temperature stress, which affects the fracture development and spontaneous combustion characteristics of coal samples. Taking anthracite as the research object, scanning electron microscopy, low-temperature N adsorption, temperature- programmed experiments and infrared spectroscopy tests were carried out to analyze the mechanism of the influence of pore structure and the number of oxygen-containing functional groups on the spontaneous combustion characteristics of coal samples from the physical and chemical perspectives. The results show that the connection between pores and fractures is enhanced and the scale of micro-fractures is also increased after the thermal and mechanical coupling.

Integrative approaches to m6A and m5C RNA modifications in autism spectrum disorder revealing potential causal variants.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that currently affects approximately 1-2% of the global population. Genome-wide studies have identified several loci associated with ASD; however, pinpointing causal variants remains elusive. Therefore, functional studies are essential to discover potential therapeutics for ASD.

Mechanical properties and microscopic damage characteristics of coal series limestone under coupling effects of high temperature and impact.

To ensure the safe extraction of deep mineral resources, it is imperative to address the mechanical properties and damage mechanism of coal and rock media under the real-time coupling effect of high temperature and impact. In this study, the impact tests (impact velocities of 6.0-10.

System dynamics modeling of collaborative governance in smart cities: a case study of Dongguan, China.

The smart city, characterized by its complexity and expansiveness, entails intricate collaborative governance processes involving a multitude of elements. We have established a smart city collaborative governance system and formulated a system dynamics model based on the interaction dynamics among the internal elements of the collaborative governance subsystems: the subject, object, and environment. Policy adjustment variables were carefully selected to simulate six policy combination scenarios, illustrating the developmental trajectory of Dongguan City's smart city collaborative governance system from 2015 to 2030, within the context of various policy paradigms.

Analysis on characteristics and mechanism for rock fracture in deep rock with cracks under dynamic-static coupling effect.

The mechanical behavior and fracture mechanisms of deep fractured rocks under explosive dynamic loads are critical for understanding rock instability in engineering applications such as blasting operations. This study aims to investigate how the presence of pre-existing cracks and different stress states affect the mechanical properties and fracture patterns of rock-like specimens under dynamic loading conditions. We utilized a Split Hopkinson Pressure Bar (SHPB) with an active confining pressure loading device to conduct impact compression tests on rock-like specimens containing pre-existing cracks.

Mineralization and metallogenic model of the Laurani high-sulfidation epithermal deposit in northeastern Bolivian Altiplano.

The Laurani high-sulfidation epithermal deposit, located in the northeastern Altiplano of Bolivia, is a representative gold-polymetallic deposit linked to the late Miocene volcanic rocks that were formed approximately at about 7.5 Ma. At Laurani, four mineralization stages are defined.

Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance.

Crystal structure similarity is useful for the chemical analysis of nowadays big materials databases and data mining new materials. Here we propose to use two-dimensional Wasserstein distance (earth mover's distance) to measure the compositional similarity between different compounds, based on the periodic table representation of compositions. To demonstrate the effectiveness of our approach, 1586 Cu-S based compounds are taken from the inorganic crystal structure database (ICSD) to form a validation dataset.

Prediction correction modeling of water-conducting fracture zones height due to repeated mining in close distance coal seams.

The height of the water-conducting fracture zones (WCFZ) is crucial for ensuring safe coal mining beneath aquifers, particularly considering the secondary development of the WCFZ in upper seams due to repeated mining in close distance coal seams. Accurately predicting this height is essential for mine safety, groundwater protection, and optimal coal resource use. This study compiles extensive measured data from various mining areas in China to analyze the coupling relationship between the WCFZ development height and six influencing factors: mining thickness, mining depth, coal seam spacing, hard rock lithology ratio, and the slope length of working face.

Whole-genome sequencing and genomic analysis of four strains newly isolated from human feces.

Background: Numerous studies have demonstrated that is closely associated with human health. These bacteria colonize the mucus layer of the gastrointestinal tract and utilize mucin as their sole source of carbon and nitrogen. spp.

Assessing the toxicological impact of PET-MPs exposure on IVDD: Insights from network toxicology and molecular docking.

Polyethylene terephthalate microplastics (PET-MPs) have emerged as a significant environmental concern due to their persistence and potential health hazards. Their role in degenerative diseases, particularly intervertebral disc degeneration (IVDD), remains poorly understood, highlighting the need for systematic evaluation of their molecular toxicity. In this study, network toxicology and molecular docking approaches were applied to investigate the toxicological mechanisms of PET-MPs-induced IVDD.

Identifying Key Prognostic Indicators for Relapse and Chronic Epilepsy in Autoimmune Encephalitis: Insights from a Multicenter Retrospective Study.

Objective: The aims of this study were to investigate clinical factors associated with encephalitis relapse and chronic epilepsy development, and to evaluate the effectiveness of immunotherapy on encephalitis relapse.

Methods: Patients with autoimmune encephalitis diagnosed as positive for neuronal surface antibodies in five general hospitals were included. A minimum 12-month follow-up period was conducted, and binary logistic regression analysis was used to identify predictors of encephalitis relapse and chronic epilepsy development.

Investment strategies for sustainable safe development of Chinese coal mine employees driven by digital intelligence.

China's "14th Five-Year Plan" proposes the construction of a "Digital China," posing the challenge of digital transformation to coal mining enterprises. It is critical to compare the effectiveness of investing in digital devices with that of human capital. This study establishes a structural equation model based on the 'regulation-situation-behavior' theoretical framework.

Analysis of genetic instability induced by radon exposure in iron mine processing workers in Shandong Province, Northern China.

Background: Radon, a colorless and odorless radioactive gas, poses serious health risks. It is the second leading cause of lung cancer and notably increases lung cancer risk in smokers. Although previous epidemiological studies have mainly examined lung cancer rates in miners, the effects of radon on genomic stability and its molecular mechanisms are not well understood.

Relationship Between Physical Exercise and Risk of Depression: An Assessment of Intermediate Variables Through Self-Assessed Health Status and Life Satisfaction in the Chinese Family Tracking Survey (CFPS) Data.

Objective: Depression is a potential health killer. As an important means of preventing various human diseases, physical exercise plays an important role in reducing the risk of depression. Using data from the Chinese Household Tracking Survey, this study analyzed the mechanisms by which physical exercise, self-rated health and life satisfaction reduce the risk of depression.

Characterization and functionality of 1003 isolated from chicken cecum against .

Lactic acid bacteria are widely regarded as safe alternatives to antibiotics in livestock and poultry farming and have probiotic potential. () is a prominent component of pigeon crop microbiota; however, its function is unknown. In this study, a strain of 1003 from pigeon cecum was identified by combining whole genome sequencing and phenotypic analysis, and its safety and probiotic properties were studied.

Methane mitigation potentials and related costs of China's coal mines.

Mitigating methane (CH) emissions from China's coal mines as the largest contributor to anthropogenic CH emissions is vital for limiting global warming. However, the knowledge about CH mitigation potentials and economic costs of Chinese coal mines remain poorly understood, which hinders the formulation of tailored CH mitigation strategies. Here, we estimate and project China's provincial coal mine methane (CMM) emissions, mitigation potentials and costs under various coal production scenarios, by integrating the dynamic emission factors of CMM and key abatement technologies.

Design of a versatile platform on nanostructured Ti-Mo-Zr alloy surface with photothermal, antibacterial and osteoinductive properties for biomedical application.

Bacterial infection and inadequate osseointegration represent significant challenges in the application of titanium (Ti)-based bone implants. Surface modification presents a promising strategy to address these obstacles. Taking advantage of silver ions, black phosphorus nanosheets (BPNs) and polydopamine (PDA), this study developed a versatile platform on the surface of Ti-12Mo-10Zr (TMZ) alloy through a multiple surface modification process, including the anodic oxidation treatment of TMZ alloy, the preparation and addition of silver-loaded BPNs (BPNs/Ag), and the coating with PDA.

Heterophilous distribution propagation for Graph Neural Networks.

Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar behaviors, while it may be violated in many real-world graphs. Recently, heterophilous graph neural networks (HeterGNNs) have attracted increasing attention by modifying the neural message passing schema for heterophilous neighborhoods.

Machine learning combined with geodetector to predict the spatial distribution of soil heavy metals in mining areas.

An accurate understanding of the spatial distribution of soil heavy metals (HMs) is crucial for the effective prevention of soil pollution and remediation strategies. Traditional machine learning models often overlook the spatially stratified heterogeneity inherent to environmental data, which can impair predictive accuracy. Therefore, we combined the Geodetector model (GDM) with machine learning models.

Investigation on the reliability calculation method of gravity dam based on CNN-LSTM and Monte Carlo method.

To improve the calculation accuracy of the Monte Carlo (MC) method and reduce the calculation time. Firstly, CNN and LSTM deep learning networks are introduced for designing nonlinear dynamic systems simulating dam stress. Then, spatial feature mining and sequence information extraction of nonlinear data of dam stress are carried out respectively, and a combined prediction model of dam stress depth (DS-FEM-CNN-LSTM) is proposed.