The ability to predict meat drip loss by using either near infrared spectra (SPECTRA) or different meat quality (MQ) measurements, such as pH24, Minolta L*, a*, b*, along with different chemometric approach, was investigated. Back propagation (BP) and counter propagation (CP) artificial neural networks (ANN) were used and compared to PLS (partial least squares) regression. Prediction models were created by using MQ measurements or by using NIR spectral data as independent predictive variables.
COBISS.SI-ID: 3025512
Nitric oxide (NO) affects multiple gastrointestinal functions, including mucosal inflammation and antimicrobial activity. The aim of this study was to screen the ability of probiotic bacteria to stimulate NO production in porcine intestinal epithelial cells and macrophages in the presence and absence of interferon gamma (INF-?). Production of NO in intestinal epithelium was stimulated by individual strains of lactobacilli without INF-? priming.
COBISS.SI-ID: 2717740
In hemodialysis (HD) patients, routine dialysis center blood pressure (BP) measurements may be a poor indicator of BP control. Ambulatory blood pressure monitoring (ABPM) improves the predictability of BP as a risk factor for target organ damage. Carotid intima-media thickness (IMT) is an important indicator of asymptomatic atherosclerosis and a predictor of cardiovascular events. The purpose of our study was to evaluate the possible association between different BP measurements and carotid IMT in HD patients.
COBISS.SI-ID: 3379775
Farm tourism is a significant means of supplementing farmers' incomes. This paper presents a methodology for ranking tourist farms by using a multi-criteria model based on the qualitative multi-criteria modeling methodology, DEX, to assess service quality. The software tool DEXi was used to achieve this end. Despite limitations, such as use of qualitative data only, the approach is proposed as being both appropriate and advantageous when compared with other means of ranking enterprises.
COBISS.SI-ID: 2713900
The main target is to produce as much biogas as possible with highest possible biomethane content from crops representing the principal fuel for driving the gas engines and electric generators and, consequently, production of electricity. The highest biomethane production was achieved with the sunflower substrate, followed by the sorghum substrate and maize. The least amount of biomethane was produced from the sugar beet.
COBISS.SI-ID: 2912556