CGS plus (Slovenia)

Kako postoje brojne formulacije mliječnih zamjenica, tako postoje i brojni načini hranidbe teladi mliječnim zamjenicama. Stoga je cilj istraživanja bio utvrditi utjecaj različitih načina hranidbe teladi mliječnim zamjenicama na proizvodne pokazatelje. Istraživanje je provedeno na 29 grla teladi simentalske pasmine podijeljenih u dvije skupine, kontrolnu (K) i pokusnu (P), u trajanju od 59 dana. Pokusna skupina hranjena je dvjema mliječnim zamjenicama različitih razina hranjivih tvari i energije u odnosu na kontrolnu, koja je cijelo vrijeme hranjena jednom mliječnom zamjenicom. Obje skupine imale su vodu, sijeno te peletiranu smjesu ponuđene ad libitum. Pojedinačna vaganja provedena su 1., 30. i 59. dana istraživanja. Praćeni su sljedeći pokazatelji: konzumacija mliječne zamjenice, tjelesna masa te prosječni dnevni prirast. Dobivene vrijednosti konzumacije mliječne zamjenice pokazale su statistički značajnu razliku p < 0,05 u korist kontrolne skupine. Unatoč većoj konzumaciji mliječne zamjenice, značajnih razlika u tjelesnoj masi i prosječnome dnevnom prirastu nije bilo. Na kraju istraživanja zaključak je da razlike u udjelima hranjivih tvari i energije mliječne zamjenice nisu značajno utjecale na proizvodne pokazatelje.

ABSTRACTDisuccinimidyl dibutyric urea (DSBU) is a mass spectrometry (MS)-cleavable cross-linker that has multiple applications in structural biology, ranging from isolated protein complexes to comprehensive system-wide interactomics. DSBU facilitates a rapid and reliable identification of cross-links through the dissociation of its urea group in the gas-phase. In this study, we further advance the structural capabilities of DSBU by twisting the urea group into an imide, thus introducing a novel class of cross-linkers. This modification preserves the MS-cleavability of the amide bond, granted by the two acyl groups of the imide function. The central nitrogen atom enables the introduction of affinity purification tags. Here, we introduce disuccinimidyl disuccinic imide (DSSI) as prototype of this class of cross-linkers. It features a phosphonate handle for immobilized metal ion affinity chromatography (IMAC) enrichment. We detail DSSI synthesis and describe its behavior in solution and in the gas-phase while cross-linking isolated proteins and human cell lysates. DSSI and DSBU cross-links are compared at the same enrichment depths to bridge these two cross-linker classes. We validate DSSI cross-links by mapping them in high-resolution structures of large protein assemblies. The cross-links observed yield insights into the morphology of intrinsically disordered proteins (IDPs) and their complexes. The DSSI linker might spearhead a novel class of MS-cleavable and enrichable cross-linkers.

The aim of the research was to determine the possibility of adding pumpkin seed cake (PSC) in feed mixtures for broiler chickens, as well as its influence on production and slaughter indicators. The experiment consisted of control and two experimental groups of broiler chickens fed for 6 weeks with feed mixtures containing different rates of PSC (0%, 7% and 14%, respectively). Statistically significantly higher body mass was determined in the E1 group compared to the E2 group (P<0.01) and in the E1 group compared to the C group (P<0.05). Regarding the percentage shares of different body parts in body weight, the C and E1 groups had statistically very significantly (P <0.01) higher values of wing shares compared to the E2 group. Regarding the skin color, L value was statically significantly (P<0.05) higher in the C group, compared to the E1 group. From all of the above, it is to conclude that PSC in the rate of 7% in fodder mixtures can be recommended for feeding broilers in the period from the 1st until the 42nd day of age, with a potential to improve production and slaughter indicators.

ABSTRACTSnow and ice make road conditions and use difficult and represent a major challenge for the winter road maintenance service. Optimizing winter maintenance service and safety thus requires accurate short‐term forecasts of the meteorological state of the roads. The most common approach to forecasting road conditions is an energy balance model based on a one‐dimensional diffusion equation. Physical models can predict the road surface temperature, which is the most important parameter for determining the road surface condition (e.g. dry, wet, ice, snow). However, such models can show a large degree of error at sites where physical processes are too complex to be simulated correctly. To solve this problem, physical models are often combined with statistical approaches. This paper proposes a purely statistical method for forecasting road surface temperature based on stepwise linear regression analysis with appropriate selection of the input parameters and separate models for different time intervals. The method is tested on data from several Slovenian road weather stations. Its accuracy is comparable to or better than that of physical models.

"Ecce, quomodo moritur justus" J. Gallusa in nekaterih njegovih sodobnikov