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The aim of this research was to determine the relationships between some body measurements and fat deposits in the Herik lamb, reared in the central Black Sea Region of Turkey. In this study, data on 20 single-born male Herik lambs, namely 10 with short, round, fat tail, and 10 with long, semi-fat tails, were used. They were finished for an average of 105 days under intensive management after weaning and slaughtered at an average body weight of 40 kg. Several body measurements were taken before slaughter. Carcasses were cut into sections which were separated into meat, bone and fat. Weights of tail, carcass and non-carcass fat were recorded and used in the calculation of the total body fat weight. The highest correlation coefficient was between tail fat weight and the upper tail circumference (r= 0.937, P

AIM: Obesity and hypertension are the major risk factors for the cardiovascular diseases. Both disorders are related to the sedentary lifestyle and to the burden of stress. Life in medical school forces students to work hard and become sedentary. We searched for the hypothesis that the lifestyle of the military medical students may increase their blood pressures and cause obesity. MATERIAL AND METHODS: The medical students of the Gulhane Military Medical Faculty who were volunteers were enrolled and divided into 3 groups: Group 1, 2 and 3 consisted of students who spent 1-2 years, 3-4 years and >=5 years in medical school, consecutively. The participants were asked to fill out questionnaires to search for their age, year in the faculty, habits such as smoking, making exercise, regular eating and sleeping hours. The arterial blood pressures as well as anthropometric and demographic data were noted. The local ethical committee of the Gulhane Military Medical Academy approved the study. RESULTS: A total number of 409 male military medical students were enrolled. The demographic variables and blood pressures are given in the table. Smoking rates were similar between groups. According to the selfassessment questionnaire the ratio of participants having regular diet were different among groups (71.4 %,51.1% and 56.6 % in Groups 1,2 and 3, respectively; p=0.001). The ratio of students who do almost no regular exercise was increasing as the years spent in the school though it was not statistically significant (30.1 %, 31.9 % and 43.4 % in Groups 1,2 and 3, respectively; p=0.124). CONCLUSION: Arterial blood pressure and BMI were increasing as the number of years spent in the medical school increase. These findings are most likely to be due to inappropriate dietary habits as well as more sedentary life both of which are higher in higher-class students. Data are expressed in mean±standard deviation. BMI:Body mass index, SBP: Systolic blood pressure, DBP: Diastolic blood pressure *ANOVA was used to compare the parameters of the study groups. [ABSTRACT FROM AUTHOR]

Aim: A requirement for nanoparticle (NP) research is visualization of particles within cells and tissues. Limitations of electron microscopy and low yields of NP fluorescent tagging warrant the identification of alternative imaging techniques. Method: Confocal reflectance microscopy (CRM) in combination with fluorescence imaging was assessed for visualizing rhodamine B-conjugated silver and fluorescein isothiocyanate-conjugated lipid core-stearylamine NP uptake in vitro and in vivo . Results: CRM successfully identified cellular uptake and blood-brain barrier penetration of NPs owing to their distinguishing refractive indices. NP-dependent reflectance signals in vitro were dose and incubation time dependent. Finally, CRM facilitated the distinction between nonspecific fluorescence signals and NPs. Conclusion: These findings demonstrate the value of CRM for NP visualization in tissues, which can be performed with a standard confocal microscope.

This report describes the first application of the novel NMR-based machine learning tool "Small Molecule Accurate Recognition Technology" (SMART 2.0) for mixture analysis and subsequent accelerated discovery and characterization of new natural products. The concept was applied to the extract of a filamentous marine cyanobacterium known to be a prolific producer of cytotoxic natural products. This environmental Symploca extract was roughly fractionated, and then prioritized and guided by cancer cell cytotoxicity, NMR-based SMART 2.0, and MS 2 -based molecular networking. This led to the isolation and rapid identification of a new chimeric swinholide-like macrolide, symplocolide A, as well as the annotation of swinholide A, samholides A-I, and several new derivatives. The planar structure of symplocolide A was confirmed to be a structural hybrid between swinholide A and luminaolide B by 1D/2D NMR and LC-MS 2 analysis. A second example applies SMART 2.0 to the characterization of structurally novel cyclic peptides, and compares this approach to the recently appearing "atomic sort" method. This study exemplifies the revolutionary potential of combined traditional and deep learning-assisted analytical approaches to overcome longstanding challenges in natural products drug discovery.

In our daily lives, we consume foods that have been transported, stored, prepared, cooked, or otherwise processed by ourselves or others. Food storage and preparation have drastic effects on the chemical composition of foods. Untargeted mass spectrometry analysis of food samples has the potential to increase our chemical understanding of these processes by detecting a broad spectrum of chemicals. We performed a time-based analysis of the chemical changes in foods during common preparations, such as fermentation, brewing, and ripening, using untargeted mass spectrometry and molecular networking. The data analysis workflow presented implements an approach to study changes in food chemistry that can reveal global alterations in chemical profiles, identify changes in abundance, as well as identify specific chemicals and their transformation products. The data generated in this study are publicly available, enabling the replication and re-analysis of these data in isolation, and serve as a baseline dataset for future investigations., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

The objective of this study was to determine the effects of three lairage times (24 h, 48 h and 72 h) on the meat quality of tame trained to lead Hungarian Simmental bulls subjected to long commercial transportation of approximately 1800 km. A total of 30 bulls, with an average age of 24 months, were used. During the lairage, bulls received 0.5 kg concentrate feed per animal per day and ad libitum access to the hay and water. As the lairage duration increased, the pH(ult) decreased (P<0.05). Bulls lairaged for 24 h had lower L*, b* and H* values than those lairaged for 48 h and 72 h (P<0.05). The effect of lairage time on WHC, cooking loss and Warner-Bratzler shear force values was not significant. The b* value was considered the best predictor of muscle pH(ult). In conclusion, 72 h quiet lairage time is recommended after transportation in order to prevent the adverse effects of transportation on meat quality., (© 2013.)