Enhanced iodinated disinfection byproducts formation in iodide/iodate-containing water undergoing UV-chloramine sequential disinfection: Machine learning-aided identification of reaction mechanisms.

Restricted to the complex nature of dissolved organic matter (DOM) in various aquatic environments, the mechanisms of enhanced iodinated disinfection byproducts (I-DBPs) formation in water containing both I and IO (designated as I/IO in this study) during the ultraviolet (UV)-chloramine sequential disinfection process remains unclear. In this study, four machine learning (ML) models were established to predict I-DBP formation by using DOM and disinfection features as input variables. Extreme gradient boosting (XGB) algorithm outperformed the others in model development using synthetic waters and in cross-dataset generalization of surface waters.

Reductive Dissolution Mechanisms of Manganese Oxide Mediated by Algal Extracellular Organic Matter and the Effects on 17α-Ethinylestradiol Removal.

Reductive dissolution of manganese oxide (MnO) is a major process that improves the availability of manganese in natural aquatic environments. The extracellular organic matter (EOM) secreted by algae omnipresent in eutrophic waters may affect MnO dissolution thus the fate of organic micropollutants. This study investigates the mechanisms of MnO reductive dissolution mediated by EOM and examines the effects of this process on 17α-ethinylestradiol degradation.

Uncovering toxin production and molecular-level responses in Microcystis aeruginosa exposed to the flame retardant Tetrabromobisphenol A.

Tetrabromobisphenol A (TBBPA) poses significant ecological risks owing to its toxicity; however, its specific effects on toxin-producing cyanobacteria in aquatic environments remain poorly understood. This study systematically investigated the effects of TBBPA at concentrations ranging from 100 ng/L to 100 mg/L on Microcystis aeruginosa (M. aeruginosa) by examining growth, photosynthesis, toxin production, antioxidant responses, and molecular-level changes.

Optimization of the Determination of Methylmercury in Solid Matrix Samples.

Accurate quantification of neurotoxic methylmercury (MeHg) in environmental samples is crucial for exploring its formation, behaviors, and risks. Here, we developed and optimized an alkaline digestion-manual purge trap/gas chromatography-cold atomic fluorescence spectrometry (GC-CVAFS) method for the quantification of MeHg in solid matrix samples such as sediments, soils or sedimentary rocks. The alkaline digestion method yielded higher recoveries of MeHg than the acid extraction method.

High-Responsivity Self-Powered Photoelectrochemical UV Photodetector Based on Integrated Self-Supporting SiC/ZnS Heterojunction Nanowire Arrays.

In the realm of photodetector (PD) technology, photoelectrochemical (PEC) PDs have garnered attention owing to their inherent advantages. Advances in this field depend on functional nanostructured materials, which are pivotal in improving the separation and transport of photogenerated electron-hole pairs to improve device efficiency. Herein, a highly photosensitive PEC UV PD is built using integrated self-supporting SiC/ZnS heterojunction nanowire array photoelectrodes through anodization and chemical deposition.

Comprehensive characterization of nutritional components in sweetpotato (Ipomoea batatas [L]. Lam.) during long-term post-harvest storage.

To uncover the variation patterns of the nutritional components in sweetpotato storage roots during long-term storage comprehensively, the general nutrients, phytochemicals, and starch properties of nine sweetpotato varieties with different flesh colors were quantified and analyzed by chemical and physical techniques. During the storage, the starch content decreased firstly and then increased, with sugar content the opposite. The crude protein content and the total dietary fiber content both increased continuously.

A curcumin-based HDACs inhibitor for targeted sonodynamic therapy of breast cancer.

Histone Deacetylases (HDACs) have emerged as key therapeutic targets in cancer treatment. In this study, we designed CURSAHA, a multifunctional anticancer agent, through the pharmacophore fusion of Vorinostat and curcumin. CURSAHA demonstrates broad-spectrum inhibitory activity against HDACs, effectively suppressing tumor cells with overexpressed HDACs.

Protective effect of trehalose on sperm chromatin condensation failure and semen quality decline in BDE-209-exposed mice.

BDE-209 exposure induced male reproductive toxicity with sperm quality decline. However, the role of autophagy in this was unclear. The purpose was to evaluate the protective effect and its potential mechanism of trehalose (Tre, autophagy inducer) on reproductive damage during spermiogenesis induced by BDE-209.

Endoscopic brush sampling identifies mucosa associated microbiota in colorectal adenomas.

The intestinal microbiome plays a crucial role in colorectal adenomas and the mucosa associated microbiota are thought to play a more critical role in interactions with the host immune system. Current omics approaches, offer a holistic assessment of the gut microbiome and the human host interaction. To enhance the value of data from these sequencing methods, appropriate sample collection is vital.

Associations between serum selenium and serum lipids in adolescents aged 12-19: A cross-sectional study.

Background: Selenium is an essential trace element in the human body and is important in lipid metabolism. Previous studies on the relationship between selenium and serum lipids were almost conducted in adults, and the research conclusions were inconsistent. Evidence linking selenium and lipids in adolescents is very limited.

Novel potent SOS1 inhibitors containing a tricyclic quinazoline scaffold: A joint view of experiments and simulations.

Small molecules that possess the ability to regulate the interactions between Son of Sevenless 1 (SOS1) and Kristen rat sarcoma (KRAS) offer immense potential in the realm of cancer therapy. In this study, we present a novel series of SOS1 inhibitors featuring a tricyclic quinazoline scaffold. Notably, we have identified compound 8d, which demonstrates the highest potency with an IC value of 5.

Double enhancement of protonation and conjugation in donor-imine-donor covalent organic frameworks for photocatalytic hydrogen evolution.

Covalent organic frameworks (COFs) have emerged as highly promising platforms for photocatalytic water splitting. However, exploring the structure-activity relationships in different COF systems remains challenging. In this study, three donor-imine-donor (D-I-D) COFs as relatively pure model materials were carefully selected to investigate the effect of protonation and conjugation on the mechanism of photocatalytic H evolution.

Unraveling the Multifunctional Sites of Ag Single-Atom and Nanoparticles Confined Within Carbon Nitride Nanotubes for Synergistic Photocatalytic Hydrogen Evolution.

The development of novel nano-single-atom-site catalysts with optimized electron configurations and active water adsorption (HO) to release hydrogen protons (H) is paramount for photocatalytic hydrogen evolution (PHE), a multi-step reaction process involving two electrons. In this study, an atom-confinement and thermal reduction strategy is introduced to achieve synergistic Ag single-atoms (Ag) and nanoparticles (Ag) confined within carbon nitride nanotubes (Ag-CN) for enhanced photocatalytic hydrogen evolution. Mechanistic investigations reveal that HO adsorption/dissociation predominantly occurs at Ag sites, while Ag sites notably facilitate H release, indicating the synergistic effect between Ag and Ag in the H evolution reaction.

Effectiveness and possible brain mechanisms of cervical invasive vagus nerve stimulation (iVNS) intervention for avoidant/restrictive food intake disorder: a case report.

Background: We reported a case of cervical invasive vagus nerve stimulation (iVNS) treatment for avoidant/restrictive food intake disorder (ARFID) in a patient with severe anxiety and depression. This patient was even given a critical illness notice during his hospitalization and all treatment efforts were failed.

Objective: We aimed to verfiy the effectiveness of iVNS in a patient with ARFID.

Molecular Dynamic Simulation of Primary Damage with Electronic Stopping in Indium Phosphide.

Indium phosphide (InP) is an excellent material used in space electronic devices due to its direct band gap, high electron mobility, and high radiation resistance. Displacement damage in InP, such as vacancies, interstitials, and clusters, induced by cosmic particles can lead to the serious degradation of InP devices. In this work, the analytical bond order potential of InP is modified with the short-range repulsive potential, and the hybrid potential is verified for its reliability to simulate the atomic cascade collisions.

Mixed chlorine/chloramines in disinfected water and drinking water distribution systems (DWDSs): A critical review.

Mixed chlorine/chloramines are commonly occurring in real drinking water distribution systems (DWDSs) but often overlooked. This review provides a comprehensive overview of the occurrences, characteristics, analysis methods, and control strategies of mixed chlorine/chloramines in DWDSs. The characteristics of mixed chlorine/chloramine species are summarized for treated water in drinking water treatment plants (DWTPs), secondary disinfection facilities, and DWDSs where different disinfectants could be blended.

Extraction of agricultural plastic greenhouses based on a U-Net convolutional neural network coupled with edge expansion and loss function improvement.

Agricultural plastic greenhouses (APGs) are crucial for sustainable agricultural planting, and accurate spatial distribution information acquisition is crucial. Deep learning network models can extract target features from remote sensing images more effectively than traditional interpretation methods, which face challenges like high workloads and poor repeatability. In this study, we aim to enhance the inventorying of Agricultural Plastic Greenhouses (APGs) by improving the extraction accuracy of their locations and numbers through remote sensing techniques.