[Influencing Mechanism of Precipitation Pollution Intensity in Qinhuai River Basin Based on Random Forest].

Analyzing the distribution characteristics of precipitation pollution intensity in the basin and identifying the main factors affecting the precipitation pollution intensity are the important basis for realizing the accurate management of diffused pollution. Based on the surface water quality data from four typical sections of the main stream of Qinhuai River Basin and rainfall data collected from 2021 to 2022, the distribution characteristics of precipitation pollution intensity in the basin were analyzed, and representative natural and social factors were selected to construct models of the precipitation pollution intensity of ammonia nitrogen （NH-N）, permanganate index, and total phosphorus （TP） based on random forest algorithm. Additionally, the main driving factors of precipitation pollution intensity were identified, and the influencing mechanism was analyzed.

Incidence of acute Deep Vein Thrombosis in pediatric and adolescent orthopedic trauma hospitalized patients and effect of rivaroxaban treatment.

Objective: Deep vein thrombosis (DVT) provoked by orthopedic trauma is increasing in pediatric hospitalized patients. The purpose of our study is to identify the prevalence of acute DVT in pediatric and adolescent orthopedic trauma hospitalized patients and focus on evaluating the anticoagulation strategies and the clinical outcomes after a confirmed acute DVT.

Methods: Patients (age ≤18 years) with a confirmed acute DVT admitted for orthopedic trauma between September 2017 and December 2023 were included.

Integrating extrusion complex-associated pattern to predict cell type-specific long-range chromatin loops.

The chromatin loop plays a critical role in the study of gene expression and disease. Supervised learning-based algorithms to predict the chromatin loops require large priori information to satisfy the model construction, while the prediction sensitivity of unsupervised learning-based algorithms is still unsatisfactory. Therefore, we propose an unsupervised algorithm, Ecomap-loop.

Incorporating Tenax into the in vitro method to improve the predictive capability of bioaccessibility of triazole fungicides in grape.

In vitro bioaccessibility assays have been developed for high-throughput prediction of relative bioavailability (RBA). However, methods to reliably and efficiently assess pesticide residues remain limited, hindering the precise estimation of pesticide exposure risk. The inclusion of a sorption sink material to simulate intestinal sorption could be a promising approach to optimize in vitro bioaccessibility methods.

Gut microbiota-involved metabolism and intestinal absorption mechanisms in decreasing bioaccessibility of triadimefon in strawberry and grape.

Gut microbiota-involved metabolism and intestinal absorption affecting bioaccessibility of triadimefon in strawberry and grape were investigated for the first time by coupling the in vitro digestion model with the Caco-2 cell model. Results showed that the gut microbiota decreased the bioaccessibility of triadimefon in strawberry by 31.00% but failed in grape, probably due to a negative modulation of the colon bacterial activity by dietary components in grapes.

Gut microbiota influence on oral bioaccessibility and intestinal transport of pesticides in Chaenomeles speciosa.

There is limited research focusing on the effects of human gut microbiota on the oral bioaccessibility and intestinal absorption of pesticide residues in food. In the present study, we use a modified setup of the Simulator of the Human Intestinal Microbial Ecosystem for the determination of pesticide residue bioaccessibility in Chaenomeles speciosa, and a Caco-2 cell model of human intestinal absorption. Results showed that gut microbiota played a dual role based their effects on contaminant release and metabolism in the bioaccessibility assay, and Lactobacillus plantarum was one of key bacterial species in the gut microbiota that influenced pesticide stability significantly.

Application method affects pesticide efficiency and effectiveness in wheat fields.

Background: There is an urgent need to enhance pesticide effectiveness while reducing adverse environmental impacts, based on the pesticide reduction program that requires net zero growth in chemical pesticide applications by 2020. Agricultural production can benefit from appropriate pesticide application using the optimal method. In this study, the effects of different application methods on the effectiveness, spray deposition, and residue behaviour of 48% phenamacril · tebuconazole suspension concentrate (SC) in wheat production were compared to determine the most efficient and effective method.