Therapeutic reduction of neurocan in murine intracerebral hemorrhage lesions promotes oligodendrogenesis and functional recovery.

Background: Intracerebral hemorrhage (ICH) causes prominent deposition of extracellular matrix molecules, particularly the chondroitin sulphate proteoglycan (CSPG) member neurocan. In tissue culture, neurocan impedes the properties of oligodendrocytes. Whether therapeutic reduction of neurocan promotes oligodendrogenesis and functional recovery in ICH is unknown.

Applying the PROMETHEE II, WASPAS, and CoCoSo models for assessment of geotechnical hazards in TBM tunneling.

Mechanized tunneling in harsh environments faces many hazards, which can stop tunneling operations for a long time. Due to the high investment volume in tunneling projects, it is imperative to predict and assess the geotechnical hazards. This research has tried to evaluate and introduce the most dangerous section of the Kerman water conveyance tunnel (KWCT) using multi-index decision-making techniques including PROMETHEE II, WASPAS, and CoCoSo models.

Anti-diabetic therapies on dental implant success in diabetes mellitus: a comprehensive review.

Background And Objective: Dental implant therapy faces challenges in patients with Type 1 and Type 2 Diabetes Mellitus (T1DM and T2DM) due to adverse effects on bone metabolism and immune response. Despite advancements, diabetic patients face higher risks of peri-implantitis and compromised osseointegration. This review assesses the impact of anti-diabetic medications on implant outcomes, offering insights to bridge the gap between animal studies and clinical practice.

Microbiological Characteristics of Beef Sausage Enriched With Roselle ( L.) Sepal Extract.

Adding plant extracts to sausage and other meat products is very important to improve their quality, safety, and durability. The aim of this study was to evaluate the microbiological properties of beef sausage enriched with roselle ( L.) sepal extract.

Modeling the determinants of smoking behavior among young adults in Khuzestan province: a two-level count regression approach.

Purpose: This study investigates the determinants of smoking behavior among young adults in Khuzestan province, southwest Iran, using two-level count regression models. Given the high prevalence of smoking-related diseases and the social impact of smoking, understanding the factors influencing smoking habits is crucial for effective public health interventions.

Methods: We conducted a cross-sectional analysis of 1,973 individuals aged 18-35 years, using data from the Daily Smoking Consumption Survey (DSCS) in Khuzestan province collected in 2023.