National Beef Quality Audit-2022: Harvest-floor assessments of hide defects, carcass defects, and offal condemnations that affect value of carcasses and by-products from market cows and bulls.

The National Beef Quality Audit ()-2022 serves as a benchmark of the current market cow and bull sectors of the U.S. beef industry and allows comparison to previous audits as a method of monitoring industry progress.

Effect of feeding high oleic soybean oil to finishing pigs on growth performance, carcass characteristics, and meat quality.

This study aimed to evaluate the effects of dietary fat source and feeding duration on growth performance, carcass characteristics, and meat quality of finishing pigs. A total of 450 twenty-one-week-old finishing pigs with an average body weight of 113.7 ± 8 kg were housed in 90 pens assigned to one of five dietary treatments in a 2×2 + 1 factorial design.

Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy.

Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design. We created a dataset of >9,000 lipid nanoparticle activity measurements and used it to train a directed message-passing neural network for prediction of nucleic acid delivery with diverse lipid structures.

Zwitterionic Polymer-Functionalized Lipid Nanoparticles for the Nebulized Delivery of mRNA.

Lipid nanoparticles (LNPs) have great potential to enable inhaled delivery of mRNA to treat pulmonary diseases. However, this potential has been limited by the challenge of nebulizing the LNPs. Nebulization of LNPs can cause LNPs to aggregate and release encapsulated mRNA, limiting their delivery efficacy.

Real-time fMRI-based neurofeedback to restore brain function in substance use disorders: A systematic review of the literature.

Introduction: Real-time functional magnetic resonance based-neurofeedback (fMRI-neurofeedback) is a neuromodulation tool where individuals self-modulate brain function based on real-time feedback of their brain activity. fMRI-neurofeedback has been used to target brain dysfunction in substance use disorders (SUDs) and to reduce craving, but a systematic synthesis of up-to-date literature is lacking.

Method: Following PRISMA guidelines, we conducted a systematic review of all the literature that examined the effects of fMRI-neurofeedback on individuals with regular psychoactive substance use (PROSPERO pre-registration = CRD42023401137).