Environmental enrichment highlights mitochondrial inner membrane function as a therapeutic target for sepsis-associated encephalopathy.

Sepsis-associated encephalopathy (SAE) is a prevalent and significant neurological complication that arises following sepsis, for which there is currently no effective treatment. Environmental enrichment (EE) has been shown to exert a neuroprotective effect through various mechanisms, including the promotion of neurogenesis, enhancement of neuroplasticity, and the inhibition of inflammatory processes. However, the precise mechanisms underlying these effects remain poorly understood.

The nexus between aeration intensity and organic carbon capture in contact-stabilization process: Insights from molecular structure transition of dissolved organic matters.

Traditional energy-intensive pollution control pattern poses great challenges to the sustainable development of urban cities, necessitating the implementation of more compact and cost-effective biological treatment technology. High-rate contact stabilization (HiCS) process can effectively capture low-concentration organic carbon matters from municipal wastewater. However, the role of dissolved oxygen (DO) concentration at stabilization phase-a critical determinant of carbon capture efficiency-remains poorly understood, thus hindering its operation optimization and application.

HMGB1 mediates synaptic loss and cognitive impairment in an animal model of sepsis-associated encephalopathy.

Background: Microglial activation-mediated neuroinflammation is one of the essential pathogenic mechanisms of sepsis-associated encephalopathy (SAE). Mounting evidence suggests that high mobility group box-1 protein (HMGB1) plays a pivotal role in neuroinflammation and SAE, yet the mechanism by which HMGB1 induces cognitive impairment in SAE remains unclear. Therefore, this study aimed to investigate the mechanism of HMGB1 underlying cognitive impairment in SAE.

Convolutional neural network based anatomical site identification for laryngoscopy quality control: A multicenter study.

Objectives: Video laryngoscopy is an important diagnostic tool for head and neck cancers. The artificial intelligence (AI) system has been shown to monitor blind spots during esophagogastroduodenoscopy. This study aimed to test the performance of AI-driven intelligent laryngoscopy monitoring assistant (ILMA) for landmark anatomical sites identification on laryngoscopic images and videos based on a convolutional neural network (CNN).

The response of anaerobic ammonium oxidation process to bisphenol-A: Linking reactor performance to microbial community and functional gene.

As a typical endocrine disruptor, bisphenol A (BPA) has been widely detected in various water bodies. Although the influence of BPA on traditional biological treatment system has been investigated, it is not clear whether it has potential impact on anaerobic ammonium oxidation (anammox) process. The short- and long-term influences of BPA on reactor operational performance, sludge characteristics and microbial community were investigated in this study.

Predictors of Occult Lymph Node Metastasis and Prognosis in Patients with cN0 T1-T2 Supraglottic Laryngeal Carcinoma: A Retrospective Study.

Background: This work aimed to explore the predictors of lymph node metastasis (LNM) and analyze the prognosis of patients with clinically node-negative (cN0) T1-T2 supraglottic laryngeal carcinoma (SGLC).

Methods: Data for 130 patients with cN0 T1-T2 SGLC who initially underwent surgery were retrospectively reviewed. Occult LNM incidence, relevant factors, and prognosis were analyzed.