Impact of adaptation time on lincomycin removal in riverbank filtration: A long-term sand column study.

Riverbank filtration (RBF) is an effective pretreatment technology for drinking water, removing organic micropollutants (OMPs) mainly through biodegradation. Despite documented improvements in OMP removal with extended adaptation time, the mechanisms remain poorly understood. This study assessed the removal of 128 OMPs over 82 d in a simulated RBF system, identified those with improved removal, and analyzed their properties.

Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction-diffusion terms.

This paper investigates the probabilistic-sampling-based asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs). Aiming at mitigating the drawback of the well-known fixed-sampling control law, a more general probabilistic-sampling-based control strategy is developed to characterize the randomly sampling period. The system mode is considered to be related to the sojourn-time and undetectable.

Hand grip strength and all-cause mortality risk in individuals with decreased bone mass: a study from NHANES database.

Objective: Previous studies have demonstrated that grip strength is associated with various health outcomes, including osteoporosis. However, the impact of grip strength on long-term mortality risk among individuals with low bone mass remains unclear. This study aims to investigate the association between grip strength and the risk of all-cause mortality in the population with low bone mass.

[Characteristics, Risk Assessment of Microplastics, and Heavy Metal Pollution in Farmland Soils in the Upper Hanjiang River].

To investigate the pollution of microplastics and heavy metals from farmland soils in the upper Han River, the pollution status and distribution characteristics of pollutants were systematically analyzed. The risk level of pollutants was evaluated using methods such as the potential ecological risk index （RI）. Source apportionment was identified using correlation analysis and cluster analysis.

Evidence of sewage discharge on the coalescence mechanism of aquatic microbial communities during high amplitude hydrological periods.

Microbial community coalescence is a ubiquitous ecological process in various ecosystems. However, limited research has addressed the effects of the coalescence on microbial ecological processes and network structure, particularly in the context of sewage discharge during high amplitude hydrological periods. Employing 16S rRNA sequencing and species source tracking analysis, we investigated the coalescence pattern of bacterioplankton in the Chishui river and sewage across various hydrological periods.