Preparation of porous carbon derived from a lignin-based polymer through ZnCl activation for effective capture of iodine.

Lignin-based porous carbon, a derivative of lignin, is acknowledged for its cost-effectiveness, stability, and environmental sustainability. It exhibits significant adsorption capacity for the removal of heavy metals and in wastewater treatment, rendering it a highly esteemed adsorbent material. However, the potential of lignin-derived porous carbon for the capture of iodine in environmental contexts has yet to be thoroughly investigated.

Efficacy and safety of repetitive transcranial magnetic stimulation (rTMS) in anejaculation: A randomized controlled trial.

Background: Anejaculation represents significant psychological distress and sexual and reproductive challenges among male individuals and couples. Effective fertility management options are available to address the reproductive challenges associated with anejaculation. However, there is a lack of methods to reverse the condition itself.

Construction and enhancement of government capacity for international communication and promotion of Chinese Wushu.

Background: In the process of international communication in Chinese Wushu (ICCW), the government controls the orientation, scale, pace. However, the ICCW currently lacks a standardised government capacity structural system, and a detailed study of framework construction may be required to ensure the smooth development of the ICCW.

Objectives: This study aims to clarify these elements and construct a framework for a governmental capacity system for ICCW.

Extracts of inhibit SARS-CoV-2 and inflammation .

Context: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still spreading rapidly. Relevant research based on the antiviral effects of Turcz (Santalaceae) was not found.

Objective: To investigate the antiviral and anti-inflammatory effects of extracts of .

Antibacterial Activity of Turcz Extract Against Bacteria Associated with Upper Respiratory Tract Infections.

Purpose: The drug resistance of and has become more and more serious, and it is urgent to seek new antibacterial drugs. In this study, Turcz. extracts were tested for its potential antibacterial activities.

Estimating daily minimum grass temperature to quantify frost damage to winter wheat during stem elongation in the central area of Huang-Huai plain in China.

Frost damage to winter wheat during stem elongation frequently occurred in the Huang-Huai plain of China, leading to considerable yield losses. Minimum Stevenson screen temperature (ST) and minimum grass temperature (GT) have long been used to quantify frost damage. Although GT has higher accuracy than ST, it is limited in application due to the lack of data.

Chemical Constituents of Turcz and Their In Vitro Antioxidant, Anti-Inflammatory and Cytotoxic Activities.

Three novel compounds () along with twenty-six known compounds, two known steroids () and twenty-four known phenylpropanoids () were isolated from the whole plant of Turcz. The structures of the three new compounds were elucidated on the basis of ESI-MS, HR-ESIMS, 1D and 2D NMR, IR, UV spectroscopic data. The absolute stereochemistry of compound was determined by the Gauge-Including Atomic Orbitals (GIAO) method.

Spatio-temporal variations and drought of spring maize in Northeast China between 2002 and 2020.

A lot of spring maize is grown in Northeast China (Liaoning, Jilin, and Heilongjiang), an area that is highly susceptible to drought. Here, remote sensing indexes from 2002 to 2020 were studied using the 8-day surface reflectance and land surface temperature of Moderate-resolution Imaging Spectroradiometer data. Spring maize distribution was extracted using a decision tree classification, and the results were compared to the known distribution based on field investigation data and published statistics.

Longitudinal changes in mental health among medical students in China during the COVID-19 epidemic: depression, anxiety and stress at 1-year follow -up.

This study aimed to evaluate the influence of COVID-19 on the mental health of Chinese medical students at 1-year of follow-up. From 2 February 2020 to 23 February 2021, we conducted three waves of research online (T1 = during outbreak, T2 = controlling period, T3 = 1 year after outbreak). The survey collected demographic data and several self reporting questionnaires to measure the depressive, anxiety and stress symptoms.

Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity.

Background: Automatic and accurate estimation of disease severity is critical for disease management and yield loss prediction. Conventional disease severity estimation is performed using images with simple backgrounds, which is limited in practical applications. Thus, there is an urgent need to develop a method for estimating the disease severity of plants based on leaf images captured in field conditions, which is very challenging since the intensity of sunlight is constantly changing, and the image background is complicated.

Growth monitoring of greenhouse lettuce based on a convolutional neural network.

Growth-related traits, such as aboveground biomass and leaf area, are critical indicators to characterize the growth of greenhouse lettuce. Currently, nondestructive methods for estimating growth-related traits are subject to limitations in that the methods are susceptible to noise and heavily rely on manually designed features. In this study, a method for monitoring the growth of greenhouse lettuce was proposed by using digital images and a convolutional neural network (CNN).

Highly carbonylated cellulose nanofibrous membranes utilizing maleic anhydride grafting for efficient lysozyme adsorption.

Construction of adsorptive materials for simple, efficient, and high-throughput adsorption of proteins is critical to meet the great demands of highly purified proteins in biotechnological and biopharmaceutical industry; however, it has proven extremely challenging. Here, we report a cost-effective strategy to create carbonyl groups surface-functionalized nanofibrous membranes under mild conditions for positively charged protein adsorption. Our approach allows maleic anhydride to in situ graft on cellulose nanofibrous membranes (CMA) to construct adsorptive membranes with large surface area and tortuous porous structure.