Novel Insights into Hg Oxidation in Rice Leaf: Catalase Functions and Transcriptome Responses.

Rice leaves can assimilate atmospheric mercury (Hg), which is accumulated by grains and causes health risks to rice consumers. However, the molecular mechanisms underlying Hg assimilation in rice leaves remain poorly understood. Here, we investigated catalase's (CAT) function in Hg oxidation within rice leaves, as well as the Hg speciation and transcriptomic profiles of rice leaves exposed to Hg.

Nonpharmacological Spine Pain Management in Clinical Practice Guidelines: A Systematic Review Using AGREE II and AGREE-REX Tools.

To summarize the content and critically appraise the quality and applicability of recent clinical practice guidelines (CPGs) for nonpharmacological, nonsurgical management of spine pain. Systematic review of CPGs. Six databases and seven guideline clearinghouses.

Development a risk prediction nomogram for multidrug-resistant bacterial and fungal infection in gastrointestinal fistula patients during the perioperative period.

Background: This study aims to develop a risk prediction model for multidrug-resistant bacterial and fungal infections in patients with gastrointestinal fistulas during the perioperative period.

Methods: A retrospective cohort study was conducted at Anhui No. 2 Provincial People's Hospital from January 2022 to July 2024.

Impact of Vertical Inter-Implant Distance in Two Adjacent Single-Unit Posterior Implants: A Retrospective Cohort Study With 1-8 Years of Follow-Up.

Aim: To investigate the impact of different vertical interimplant distances (VIDs) on the long-term success of two adjacent single-unit implants.

Materials And Methods: This retrospective study categorized implants into two groups based on VID: Group 1 (VID < 2 mm) and Group 2 (VID ≥ 2 mm). Further classification was done according to horizontal inter-implant distance (HID).

Leveraging multi-level correlations for imputing monitoring data in water supply systems using graph signal sampling theory.

Data missing and anomalies in monitoring equipment have become critical barriers to developing intelligent Water Supply Systems (WSS). The valid data preceding and after the missing segments can be utilized to impute missing values. However, traditional imputation methods, such as linear interpolation and prediction-based methods, have limited capacity to use data relationships or can only utilize information before the missing values.