Urbanization cast a shadow over bacterial community in river sediment: Insights from community diversity, assembly processes and network interactions.

Rivers reflect natural-anthropogenic interactions, yet how urbanization affects riverine bacterial communities along rural-urban gradients is poorly understood. This study examined bacterial diversity and assembly mechanisms along such a gradient of river sediments. Results showed that bacterial diversity significantly decreased with increasing urban influence.

Plantation forest stand age affects the characteristics and the chlorine reactivity of soil-derived dissolved organic matter.

Plantation forest areas are rapidly expanding worldwide. Forests at different stand ages exhibit distinct patterns in litterfall input, soil microbial diversity, and enzyme activity, all of which potentially affect the properties of dissolved organic matter (DOM). DOM is an important precursor of disinfection byproducts (DBPs).

Risk prediction and driver tracking based on watershed resilience dynamics: A case study in Dahei River Basin, China.

The watersheds face increasing pressure from both human activities and natural factors, which exacerbate potential risks and pose significant challenges to integrated watershed management. This study developed an effective methodology to evaluate watershed sustainability and predict potential risks based on watershed resilience dynamics by combining catastrophe theory, adaptive cycle theory, and the Copula-Bayesian Network. Taking the Dahei River Basin (DRB) in China as a case study, we systematically evaluated the resilience dynamics, diagnosed risks, and tracked key driving factors to propose management strategies.

Optimized light supply strategy comprehensively increases the synthesis of high-value cell inclusions in Rhodopseudomonas palustris using food waste fermentation broth: Process optimization and biosynthetic mechanism.

The bioconversion of purple non-sulfur photosynthetic bacteria (PNSB) based on real food waste (FW) fermentation broth is crucial for FW resource recovery. This study enhanced the bioconversion efficiency of FW fermentation broth by PNSB through light intensity and photoperiod optimization, while elucidating the synthesis mechanisms of high-value cell inclusions. The results demonstrated that 4500 lx-L/D = 16/8 significantly enhanced R.

Identification of TMED10 as A Regulator for Neuronal Exocytosis of Amyloid Beta 42.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by neurotoxic amyloid beta (Aβ) deposition in the brain. Neurons can internalize and exocytose Aβ; however, the molecular pathways governing Aβ release remain poorly understood. To identify key regulators of Aβ42 transport, we applied formaldehyde cross-linking of protein complexes combined with co-immunoprecipitation and mass spectrometry analysis to identify TMED10 as a novel Aβ42-interacting protein.

Tripodal bisphenolate-bisphosphine ligands with hybrid hard/soft donors: titanium complexes and dinitrogen activation.

The design of multidentate ligands incorporating both hard and soft donors is of fundamental interest and importance in coordination chemistry. Here, we report a novel class of tetradentate dianionic bisphenolate-bisphosphine (PO) ligands featuring hybrid hard (phenolate) and soft (phosphine) donor atoms. Titanium(IV) and titanium(III) chloride complexes of the PO ligands were synthesized and characterized by X-ray crystallography, NMR spectroscopy, solution magnetic susceptibility measurements (Evans method) and EPR spectroscopy, revealing distorted octahedral geometries and providing insight into coordination modes and spin states.

Patterns of adversity childhood experiences from family, peers, and teachers in Chinese adolescents and emerging adults.

Family, peers, and teachers are significant influences in the lives of most individuals. This study examines the differential associations of adversity childhood experiences from family, peers, and teachers with complex posttraumatic stress disorder (CPTSD) symptoms and posttraumatic growth (PTG) in Chinese adolescents and emerging adults. This study involved a total of 5,477 adolescents and 3,995 emerging adults in China, surveyed on two occasions.

Physical health and cognitive ability factors in predicting retirement adjustment based on machine learning approach: results from the China Health and Retirement Longitudinal Study.

Introduction: Retirement is one of the most significant status changes in an individual's later life. Physical health and cognitive ability are key predictors of retirement adjustment. However, studies have yet to investigate the role of different physical health and cognitive ability indicators simultaneously, and their non-linear association in relation to retirement adjustment.

The mediating role of family adaptability in the relationship between insecure attachment and family functioning in patients with major depression disorder: a cross-sectional study.

Introduction: Depression ranks as the second leading cause of the global health burden; therefore, identification of its risk and influencing factors is essential to develop more effective multidimensional interventions. The aim of the present study was to analyze the mediating role of family adaptability (FA) on the relationship between insecure attachment (IA) and family functioning (FF) in patients with major depressive disorder (MDD), which currently remains unclear. It also aims to provide a theoretical reference for optimizing rehabilitation interventions.

Reciprocal Predictions Between Reading Achievement and Cognitive Flexibility Development in Children and the Mediating Roles of the Left Middle Frontal Gyrus.

The development of reading skills and cognitive flexibility is crucial for success in childhood and adulthood. Although previous studies demonstrate the existing links between the development of cognitive flexibility and the reading acquisition in children, it remains unclear how baseline reading achievement influences later cognitive flexibility, or vice versa, particularly in relation to the underlying brain development. Therefore, in this prospective longitudinal study, we investigated the reciprocal prediction between reading achievement and cognitive flexibility, along with the underlying brain development that potentially mediated this relationship in school-aged children.

Aridity-dependent response bias of grassland productivity to precipitation in experiments compared to observations.

Precipitation manipulation experiments and long-term observations have been widely employed to examine the response of ecosystem productivity to changing precipitation. However, whether experiments accurately reflect natural responses remains questionable. Here, we conducted a global reality check analysis using paired datasets from 22 grassland sites that included both experimental and observational measurements.

Double Nanofoaming Enhanced Interfacial Polymerization toward Ultra-High-Performance Nanofiltration Membranes.

Polyamide (PA) nanofiltration (NF) membranes represent a promising approach to safe drinking water production. Yet, selective removal of contaminants while retaining essential minerals remains a critical challenge for cost-effective water treatment processes. Here, we employed ammonia bicarbonate (AB) as an economical additive to modify interfacial polymerization (IP) for developing high-performance NF membranes suitable for drinking water applications.

Evaluating Megacity Resilience to Pandemics: The Case of China.

Megacities' inherent complexity and dense populations heighten vulnerability to health crises, necessitating pandemic resilience research. This study pioneers a tailored resilience assessment framework for pandemic-facing megacities, building upon a refined Tyler and Moench urban resilience model. Applying grey correlation-technique for order preference by similarity to ideal solution (TOPSIS) methodology and barrier diagnosis modeling, we evaluated eight Chinese megacities.

Hydrological regime mediates stoichiometry regime and source-sink alternation in shallow lakes.

Shallow lakes are increasingly subjected to pronounced alterations in hydrological regimes and exacerbated nutrient stoichiometric imbalances due to climate change and anthropogenic factors. Understanding the interactions between watershed eco-hydrological processes and lake systems, particularly their impact on nutrient balance dynamics deserves further investigation. Employing seasonal-trend decomposition (STL), Copula modeling, and the Lindeman-Merenda-Gold (LMG) algorithm, this study systematically analyzed eco-hydrological processes in Poyang Lake basin and identified hydrological regime as the key factor governing lake nutrient balance.

Electrophysiological activity predicts children's reading ability through orthographic awareness: Evidence from a cross-sectional and longitudinal study.

The relationship between brain activity and reading acquisition has been a research focus in recent years. In the current cross-sectional and longitudinal study, we aimed to investigate whether and how resting-state (rs) and task-state brain electrophysiological activity would predict children's reading ability. Here, we tracked 73 primary school children' orthographic awareness, reading ability, and EEG signals during both rest and completed a Chinese character recognition task over two consecutive years.

Excited-State Wave Functions and Energies Predicted by Machine Learning Based on Graph Neural Networks.

Accurate and efficient simulation of photoinduced dynamics in materials remains a significant challenge due to the computational cost of excited-state electronic structure calculations and the necessity to account for excitonic effects. In this work, we present a machine learning (ML)-accelerated approach to nonadiabatic molecular dynamics simulations that incorporates excitonic effects by predicting excited-state wave functions via configuration interaction coefficients and excitation energies using a graph neural network (GNN) architecture. The GNN model leverages molecular orbital information from ground-state calculations to construct input graphs, enabling efficient and accurate prediction of relevant excited-state wave functions and energies required for ab initio-based fewest-switches surface hopping simulations.

A practical guide to long-term field PAM chlorophyll fluorescence measurements: setup, installation, data processing with R package 'LongTermPAM' and interpretation.

Pulse-amplitude modulated (PAM) chlorophyll fluorescence (ChlF) measurements provide a non-invasive method to study the regulation of the light reactions of photosynthesis in situ. PAM ChlF contributes also to the advancement of the interpretation of long-term observations of remotely sensed solar induced fluorescence by revealing the mechanistic connection between ChlF and photosynthetic function. However, long-term field PAM ChlF measurements remain uncommon due to challenges associated with the outdoor environment, instrument installation and maintenance, or data processing and interpretation.

Environmental Drivers of Phytoplankton Structure in a Semi-Arid Reservoir.

Artificial reservoirs in arid regions provide unique ecological environments for studying the spatial and functional dynamics of plankton communities under the combined stressors of climate change and anthropogenic activities. This study conducted a systematic investigation of the phytoplankton community structure and its environmental drivers in 17 artificial reservoirs in the Ili region of Xinjiang in August and October 2024. The Ili region is located in the temperate continental arid zone of northwestern China.

Assessment of Grassland Carrying Capacity and Grass-Livestock Balance in the Three River Headwaters Region Under Different Scenarios.

It is crucial to clarify the grassland carrying capacity (CC) and the balance between grass and livestock under different scenarios for ecological protection and sustainable development in the Three River Headwaters Region (TRHR). This study focused on the TRHR and used livestock data, MODIS Net Primary Productivity (NPP) data, and artificial supplementary feeding data to analyze grassland CC and explore changes in the grass-livestock balance across various scenarios. The results showed that the theoretical CC of edible forage under complete grazing conditions was much lower than that of crude protein under nutritional carrying conditions.

Synthesis and Preclinical Evaluation of Novel Tc-Labeled Glucose Derivatives Containing Different Proline Analogs as Linker Moieties for Tumor Imaging.

2-[F]Fluoro-2-deoxy-d-glucose ([F]FDG) is the most extensively utilized tumor imaging agent in clinical positron emission tomography (PET) applications. Nevertheless, no radiolabeled glucose derivatives for single-photon emission computed tomography (SPECT) imaging have achieved clinical usage comparable to that of [F]FDG. Technetium-99m is a common single-photon-emitting radionuclide used in clinical practice and has potential for the development of novel radiopharmaceuticals.

Atomically dispersed Ru in ZIF-67 as a high-performance HER catalyst: structural evolution and deactivation mechanism elucidation.

Despite the prevalence of zeolitic imidazolate framework (ZIF-67)-derived catalysts for the hydrogen evolution reaction (HER), the catalytic potential of pristine ZIF-67 remains obscured by its inherent inertness. In this work, we address this gap by developing an annealing-free strategy to implant atomically dispersed noble metals (Ru, Rh, and Pd) into the intact ZIF-67 framework. Remarkably, Ru single-atom modification reduces the HER overpotential of ZIF-67/CC by 252 mV at 10 mA cm (from 331 mV to 79 mV) and slashes the Tafel slope by 70%, representing the most significant activation of pristine ZIF-67 reported for the HER.

Development of a physical literacy assessment framework for Chinese preschool children: a Delphi-AHP approach.

Purpose: Physical literacy (PL) during early childhood is crucial for establishing a foundation for lifelong physical activity and holistic development. However, China currently lacks a developmentally appropriate and culturally relevant PL framework for preschool-aged children. This study aimed to develop such a framework using a modified Delphi method and determine the relative importance of its components through the Analytic Hierarchy Process (AHP).

Happy mouth and fearful eyes: insights into emotional facial features from ERP.

Facial expressions enable individuals to assess and understand emotions conveyed by others. Two crucial sources of expressive cues on the human face-the eyes and the mouth-capture attention and serve as reliable shortcuts for expression recognition. However, how the brain effectively extracts emotional information from these diagnostic features remains unknown.

Parietal rTMS Induced Changes in Cortical Excitability in Patients With Minimally Conscious State Using TMS-EEG.

Objective: To verify the effectiveness of the parietal repetitive transcranial magnetic stimulation (rTMS) and take advantage of TMS-EEG to assess cortical excitability in patients with minimally conscious states (MCS).

Methods: We enrolled 10 MCS patients who received 10 sessions of 10 Hz rTMS on the parietal cortex for 10 consecutive days and then 10 days of sham stimulation after a 14-day wash-out period. The Coma Recovery Scale-Revised (CRS-R) and TMS-EEG were used to assess the levels of consciousness and cortical excitability before and after active and sham stimulation, respectively.