Selective photochemical reduction of nitroarenes to -arylhydroxylamines with γ-terpinene.

The preparation of -arylhydroxylamines (-AHAs) by photochemical reduction of nitroarenes has been presented. Herein, -AHAs were obtained by selective transformation of nitroarenes under irradiation of 413 nm LEDs at room temperature. Plant-derived γ-terpinene was employed as the hydrogen source.

Scenario construction and evolutionary analysis of nonconventional public health emergencies based on Bayesian networks.

Objectives: The objective was to aggregate the various scenarios that occur during nonconventional public health emergencies (NCPHEs) and analyze the evolutionary patterns of NCPHEs to better avoid risks and reduce social impacts. The aim was to enhance strategies for handling NCPHEs.

Study Design: News reports were crawled to obtain the scenario elements of NCPHEs and categorized into the spreading stage or derivation stage.

Large language models for diabetes training: a prospective study.

Diabetes poses a considerable global health challenge, with varying levels of diabetes knowledge among healthcare professionals, highlighting the importance of diabetes training. Large Language Models (LLMs) provide new insights into diabetes training, but their performance in diabetes-related queries remains uncertain, especially outside the English language like Chinese. We first evaluated the performance of ten LLMs: ChatGPT-3.

Reaction-Based Fluorescence Assays for the Determination of Food Trimethylamine Oxide.

Trimethylamine oxide (TMAO), a microbial metabolite commonly found in foods, has been attracting increasing attention as it is associated with the risk of several diseases. Simple and accurate analytical methods are crucial for TMAO study. In the present study, we proposed a chemical reaction-based fluorescence assay for TMAO detection using synthetic small molecular probes.

Media coverage as a moderator in the nexus between audit quality and ESG performance: Evidence from China.

In response to growing pressure on companies to manage and improve their reputation regarding environmental, social, and governance (ESG) issues, the audit is regarded as a vital resource for ensuring ESG risk management, improving transparency, mitigating opportunistic constraints, and guaranteeing accurate reporting. The objective of this paper was to investigate the role of audit quality in improving ESG performance, as well as to examine the role of media coverage represented by ESG controversy score in moderating these relationships. We analyzed 303 Chinese companies with 2,121 observations covering the period from 2017 to 2023.

Prognostic Nutritional Index as a Prognostic Indicator for the Occurrence of Postoperative Complications in Patients with Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy.

Background & Aims: The objective of this study was to evaluate the prognostic nutritional index (PNI) as a predictor of short-term postoperative complications in esophageal squamous cell carcinoma patients undergoing neoadjuvant immunochemotherapy.

Methods: Clinical data were collected from 77 patients undergoing radical esophageal cancer surgery after neoadjuvant immunochemotherapy at Tongji Hospital from January 2022 to January 2023. The receiver operating characteristic curve (ROC) was utilized to establish the optimal cut-off point for the PNI.

Coptisine protects against transient focal cerebral ischaemic injury by regulation of arachidonic acid metabolism.

Objectives: Coptisine (Cop), an alkaloid isolated from Rhizoma Coptidis, has a protective effect against central nervous system diseases such as cerebral ischaemia-reperfusion (IR). Dysregulations in fatty acids metabolism are associated with neuroprotection and neuroinflammation. However, the effect of Cop on fatty acids metabolomics during anti-IR remains unclear.

One-shot screening: Utilization of a two-dimensional convolutional neural network for automatic detection of left ventricular hypertrophy using electrocardiograms.

Background And Objective: Left ventricular hypertrophy (LVH) can impair ejection function and elevate the risk of heart failure. Therefore, early detection through screening is crucial. This study aimed to propose a novel method to enhance LVH detection using 12-lead electrocardiogram (ECG) waveforms with a two-dimensional (2D) convolutional neural network (CNN).

The underlying molecular mechanism of ciliated epithelium dysfunction and TGF-β signaling in children with congenital pulmonary airway malformations.

The aim of this study was to investigate the variation in gene expression in the complete transcripts of Congenitalpulmonary airwaymalformation (CPAM) of the lung using Next Generation Sequencing (NGS) technology. There were 20 cases involving children with CPAM were used for selection of study sample. NGS was used to establish RNA-Seq libraries for the two groups of samples separately, and both groups were conducted to differential expression analysis and Gene Ontology (GO) functional enrichment analysis.

Benefits of 12-month peer support for diabetes self management sustained at 18 months.

Aims: To evaluate sustainability of peer support (PS) benefits in diabetes management.

Methods: Supporting a Peer Leader program through Community Health Centers (CHCs) included trainings and consultations from baseline to 12 months. Evaluation at baseline, 12-month, and 18-month follow-up included primary outcome, HbA, and other outcomes of SBP, DBP, LDLc, PHQ-8, diabetes distress, and EQ-5D.

A deep learning system for predicting time to progression of diabetic retinopathy.

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR progression is highly variable among different individuals, making it difficult to predict risk and personalize screening intervals. We developed and validated a deep learning system (DeepDR Plus) to predict time to DR progression within 5 years solely from fundus images.

Ball-milled prepared FeO-Fe@NC catalyst synergistically facilitate the generation of reactive oxygen species for oxidative trifluoromethylation of alkenes.

Heterogeneous catalysts have recently regarded as a promising chose for the thermally-driven generation of the reactive oxygen species (ROS) through catalytic reactions with molecular oxygen, which can facilitate this process by specific geometric and electronic structure. However, the oxidative trifluoromethylation of alkenes to α-trifluoromethylated ketones by CFSONa is rarely reported in this system. In this work, we report a one-pot polymerization ball milling strategy to construct precursor, and then pyrolyze it to obtain specific carbon nanotubes matrix with Fe/FeO nanoparticles and single atoms Fe.

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges.

The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures.

DeePMD-kit v2: A software package for deep potential models.

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features, such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, DP-range correction, DP long range, graphics processing unit support for customized operators, model compression, non-von Neumann molecular dynamics, and improved usability, including documentation, compiled binary packages, graphical user interfaces, and application programming interfaces.

Oxygen doped graphite carbon nitride as efficient metal-free catalyst for peroxymonosulfate activation: Performance, mechanism and theoretical calculation.

In this study, oxygen-doped graphitic carbon nitride (g-CN), named O-g-CN, was successfully fabricated and characterized, and its performance in activating peroxymonosulfate (PMS, HSO) for the removal of phenol, 2,4-dichlorophenol (2,4-DCP), bisphenol A (BPA), rhodamine B (RhB), reactive brilliant blue (RBB) and acid orange 7 (AO7) was evaluated. The catalytic performance of O-g-CN for AO7 removal increased by 14 times compared to g-CN. In the presence of 0.

Community organization guides standardization, adaptability, and innovation: lessons from peer support in the Shanghai Integration Model.

Although there is broad evidence for the value of peer support (PS) in preventing and managing diabetes and other chronic diseases, identifying approaches to stage, scale, and adapt PS interventions is a challenge. Community organization may provide a process for such adaptation of standardized PS and diabetes management to individual communities. This community organization approach was used to develop PS in 12 communities in Shanghai, China.

Construction of shell-core CoP/CdZnS photocatalyst by electrostatic attraction for enhancing H evolution.

Solar energy-driven photocatalytic decomposition of water to produce H is of great significance for promoting the development of clean energy. To improve the efficiency of H production, a novel spherical CoP/CdZnS (CoP/CZS) composite with shell-core structure was successfully synthesized by electrostatic attraction. Under visible light irradiation, the optimal CoP/CZS achieves an excellent H rate of 16.

Uni-Dock: GPU-Accelerated Docking Enables Ultralarge Virtual Screening.

Molecular docking, a structure-based virtual screening method, is a reliable tool to enrich potential bioactive molecules from molecular databases. With the rapid expansion of compound library sizes, the speed of existing molecular docking programs becomes less than adequate to meet the demand for screening ultralarge libraries containing tens of millions or billions of molecules. Here, we propose Uni-Dock, a GPU-accelerated molecular docking program that supports various scoring functions including vina, vinardo, and ad4.

Origin of oxygen-redox and transition metals dissolution in Ni-rich LiNiCoMnO cathode.

Recently, Ni-rich LiNiCoMnO (x ≥ 0.8) draw significant research attention as cathode materials in lithium-ion batteries due to their superiority in energy density. However, the oxygen release and the transition metals (TMs) dissolution during the (dis)charging process lead to serious safety issues and capacity loss, which highly prevent its application.

A Green-Emitting Luminol Analogue as the Next-Generation Chemiluminescent Substrate in Biochemical Analysis.

Luminol and its derivatives are extensively used as chemiluminogenic substrates in bioimaging and biochemical analysis. Luminol reagents can typically emit blue chemiluminescence (CL), whose wavelength is normally outside the most sensitive detection range of human naked eyes and most CL analyzers with silicon-based charge-coupled device (CCD) detectors. Development of luminol analogues with longer wavelength emission is thus attractive.

Glycogen Metabolism in Candida albicans Impacts Fitness and Virulence during Vulvovaginal and Invasive Candidiasis.

The polymorphic fungus Candida albicans remains a leading cause of both invasive and superficial mycoses, including vulvovaginal candidiasis (VVC). Metabolic plasticity, including carbohydrate catabolism, confers fitness advantages at anatomical site-specific host niches. C.

Plasma Metabolic Analysis Reveals the Dysregulation of Short-Chain Fatty Acid Metabolism in Parkinson's Disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder, characterized by high morbidity, high disability rate, and slow course of disease. The clinical diagnostic method of PD is complex and time-consuming, and there is no clear biomarker for clinical use. We aimed to investigate the plasma metabolites in PD and find out potential biomarkers with diagnostic ability.

Nitrogen and Phosphorus Dual-Coordinated Single-Atom Mn: MnNP Active Sites for Catalytic Transfer Hydrogenation of Nitroarenes.

The coordination environment of atomically metal sites can modulate the electronic states and geometric structure of single-atom catalysts, which determine their catalytic performance. In this work, the porous carbon-supported N, P dual-coordinated Mn single-atom catalyst was successfully prepared via the phosphatization of zeolitic imidazolate frameworks and followed by pyrolysis at 900 °C. The optimal Mn-N/P-C catalyst with atomic MnNP structure has displayed better catalytic activity than the related catalyst with Mn-N structure in catalytic transfer hydrogenation of nitroarenes using formic acid as the hydrogen donor.