NIRS PREDICTION FOR PROTEIN AND INTRAMUSCULAR FAT CONTENT OF RABBIT HIND LEG MEAT

The goal of this study was to develop calibration equations to predict the chemical composition of raw, homogenized rabbit meat by means of near infrared spectroscopy (NIRS). 44 Pannon White rabbits were housed in groups in three different pen types (16 anim./m2), and were fed the same diet. Another 45 animals were housed in cages (12 anim./m2) and fed by different feeding regimes. Rabbits were slaughtered at the bodyweight of 2.4-2.5 kg. Homogenized fresh and freeze-dried left total hind leg muscles were investigated by NIRS using a NIRSystem 6500 equipment with small ring cup sample holder. The ether extract and protein content of all samples were determined chemically. Samples 44 of housing experiment were applied in producing LOCAL calibration equations tested on the 45 samples from the separate feeding experiment. Coefficients of determination (R2) of the predictions were 0.89 and 0.99 for fat, 0.85 and 0.96 for protein in fresh and freeze-dried samples, respectively. Results are reassuring, because the equations were applicable, however the analyzed samples were from independent housing and feeding systems. Therefore the chemical compositions differed in the two datasets, i.e. 9.46%, and 11.79% for fat, 85.75% and 83.44% for protein content in calibration and prediction datasets, respectively. The average of NIRS predicted values for fat and protein was 11.36%, 83.88% or 11.54%, 83.45% when using fresh or freeze-dried samples, respectively

Virtual reality in pulmonary rehabilitation: A systematic review of clinical outcomes in COPD and post-COVID conditions

Background: Chronic obstructive pulmonary disease (COPD) and post-COVID syndrome cause persistent dyspnea and exercise intolerance. Traditional pulmonary rehabilitation (PR) improves outcomes. Virtual reality (VR)-based PR has been proposed as an engaging alternative. We systematically reviewed randomized trials of VR-based PR programs to evaluate its efficacy and feasibility. Methods: Following PRISMA guidelines, we searched PubMed, Web of Science, CENTRAL and Google Scholar (2014–Feb 2025) for RCTs comparing VR-assisted PR versus standard PR in patients with COPD or post-COVID conditions. Based on the selection criteria nine trials (primary search total n 5 552; 488 COPD and 64 post-COVID patients) were included. Six domains were considered: lung function, exercise capacity (6MWT, STST), dyspnea, quality of life, mental health, and cognitive function. Results: Across nine RCTs (n 5 552), VR-based pulmonary rehabilitation resulted improvements in exercise capacity in all studies, with several reporting greater gains in VR groups. A long-duration trial showed meaningful FEV1 improvement with VR, while shorter trials showed limited changes. Dyspnea and functional scores improved in both groups without consistent between-group differences. VR tended to yield greater reductions in anxiety and depression scores, and one trial showed better cognitive function in post-intervention. Quality-of-life outcomes improved in both groups. Conclusion: VR-based PR was feasible and produced functional gains at least equal to those of traditional PR. VR’s capacity for remote supervised training and gamification holds promise to improve access and adherence. However, evidence is limited by small, short-term trials. Larger, longer RCTs are needed to confirm these benefits, optimize VR protocols, and evaluate cost-effectiveness