Immunological assessment of NSFu1: A novel fusion molecule constructed from structural proteins of SARS-CoV-2 for improving COVID-19 antibody detection.

The SARS-CoV-2 outbreak has claimed millions of lives and caused significant clinical challenges. The availability of a rapid, cost-effective, and sensitive test to detect antibodies at different stages of COVID-19 is crucial for effective clinical management, epidemiological studies, and public health surveillance. Four novel peptides (SF1, SF2, SF4, SF6) and two multi-epitope fusion proteins (SFu1 and NSFu1) from less variable regions of the spike and nucleocapsid proteins were developed.

Ameliorative potential of Populus alba leaf powder against hexaflumuron exposure in Nile tilapia: immune-antioxidant, biochemical, histological, and transcriptomic analysis.

Contamination of the aquatic bodies with pesticides is a serious issue that hinders the aquaculture industry worldwide. Preventing aquatic pollution is a challenge, and finding eco-friendly strategies could help to overcome such a problem. Herein, we studied the antagonistic potential of dietary fortification of white poplar (Populus alba; PA) leaf powder against chronic hexaflumuron (HX) toxicity in Nile tilapia (Oreochromis niloticus).

Innovative perspectives on the discovery of small molecule antibiotics.

Antibiotics are essential to modern medicine, but multidrug-resistant (MDR) bacterial infections threaten their efficacy. Resistance evolution shortens antibiotic lifespans, limiting investment returns and slowing new approvals. Consequently, the WHO defines four innovation criteria: new chemical class, target, mode of action (MoA), and lack of cross-resistance.

An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations.

The data for diagnosing spinal cord disorder (SCD) are complex and often confusing, making it difficult for established diagnostic techniques to yield reliable results. This issue frequently necessitates expensive testing to get an accurate diagnosis. However, the diagnostic process can be enhanced by integrating theoretical frameworks that resemble fuzzy sets, which better manage complexity and uncertainty.