Urea concentration in sheep’s milk by Jasmina Havranek, Željko Mikulec, Tomislav Mašek, Neven Antunac, Nataša Mikulec, Ivan Vnučec, Darija Bendelja

“…The concentration of urea in milk, along with the feeding process, is influenced by a number of other factors such as: breed, stage and sequence of lactation, body mass, daily production and chemical structure of milk, number of somatic cells, season, milking.The goal of the research was to establish the influence of the breed (Island of Krk, East Frisian), lactation stage (beginning, middle and the end) and the herd (3) to the concentration of urea in milk during lactation.For each breed there has been established daily quantity of milk, protein share and the concentration of urea in milk.Statistical analysis of data was conducted by using General Linear Models procedure, SAS program system (1999).The breed of sheep considerably (P<0.001) influenced daily quantity of milk, protein share and the concentration of urea in the milk.East Frisian sheep produced on average almost double the daily quantities of milk (1070 mL) compared to the Krk sheep (588 mL).Protein share and the urea concentration in Krk sheep milk were higher (5.99 % and 35.97 mg/100 mL) then in the milk of East Frisian sheep (5.12 % and 33.31 mg/100 mL).For both breeds the significant influence of lactation stage to the daily milk quantity has been established (0.001), that is also for the urea concentration in the milk of Krk sheep (0.001), as well as protein share in the milk of East Frisian sheep (0.001).Herd influence significantly affected daily milk quantities (0.001) and concentration of urea in the milk (0.05).The defining of the urea concentration in sheep milk should be occasionally carried out in the Republic of Croatia to establish the standard physiological values typical for the particular sheep breed.…”
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KrillDB: A de novo transcriptome database for the Antarctic krill (Euphausia superba). by Gabriele Sales, Bruce E Deagle, Enrica Calura, Paolo Martini, Alberto Biscontin, Cristiano De Pittà, So Kawaguchi, Chiara Romualdi, Bettina Meyer, Rodolfo Costa, Simon Jarman

“…The genetics of Antarctic krill has long been of scientific interest for both for the analysis of population structure and analysis of functional genetics. However, the genetic resources available for the species are relatively modest. …”
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Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models. by Johane H Bracamonte, Lionel Watkins, Betty Pat, Louis J Dell'Italia, Jeffrey J Saucerman, Jeffrey W Holmes

“…We believe this represents a promising approach to using the known structure of an intracellular signaling network to integrate information from multiple studies into quantitative predictions of the range of expected responses to potential interventions in the complex setting of cardiac hypertrophy driven by a combination of hormonal and mechanical factors.…”
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Heavy metal content in ice in the lower Amur River by A. N. Makhinov, V. I. Kim, A. F. Makhinova, D. V. Matveenko

“…For the first time, the content of heavy metals in the river ice in the lower Amur River has been analyzed, taking into account the stratigraphic heterogeneity of the ice structure in the river channel. According to the conditions of origin and duration of formation, the main varieties of ice were identified – layered frozen ice, naled-type (icing) ice, and hummocky ice. …”
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Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information by Fan Zhang, Li Fu, Weiwei Gao, Peihong Zhang, Jijun Zhao

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Mentorship in psychiatry: A brief report of designing and implementing a program for residents at university of medical sciences by Roya Vaziri-Harami, Mojgan Khademi, Alireza Shamsi, Seyedeh Morvarid Neishabouri, Shiva Eiliaei

“…The success of these programs depends on factors, such as the quality of the mentor-resident relationship, program structure and support, and the resident’s ability to utilize learning opportunities for overall well-being. …”
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An Updated Model Does Not Reveal Sex Differences in Patellofemoral Joint Stress during Running by Laura Jacobson, C. Nathan Vannatta, Catherine Schuman, Thomas W. Kernozek

“…# Background Structure-specific loading may have implications in understanding the mechanisms of running related injury. …”
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Characteristics of Soil and Water Loss at Castanea Mollissima Woodlands in Dabie Mountain Area by Yang Wei, Li Lu, Ouyang Shuguang, Yu Bing, Nie Binbin

“…The composition and structure of vegetation must be considered. ③ Soil erosion on the Castanea mollissima plots did not increase with increasing slope, and there was a peak of soil erosion at about 15°. …”
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Bivariate Copula Model on Fitting Correlated Time-to-Event Outcomes: Age at First Sex and Age at First Marriage Among Youth in Tanzania by Jacqueline Materu, Eveline T. Konje, Ties Boerma, Mark Urassa, Milly Marston, Jim Todd

“…The dependence structure was identified, the degree of association between these events and their associated factors assessed, and the trends of predicted medians examined. …”
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Surgical Management of Recurrence of Primary Intrahepatic Bile Duct Stones by HongTian Xia, HangYu Zhang, XianLei Xin, Bin Liang, Tao Yang, Yang Liu, Jing Wang, XiangFei Meng

“…Of the 86 patients without cholangiojejunostomy, 71 (82.56%) had abnormalities in the structure and function of the lower end of the common bile duct, and 86 had hilar and intrahepatic bile duct stenosis. …”
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The chromatin insulator CTCF regulates HPV18 transcript splicing and differentiation-dependent late gene expression. by Jack Ferguson, Karen Campos-León, Ieisha Pentland, Joanne D Stockton, Thomas Günther, Andrew D Beggs, Adam Grundhoff, Sally Roberts, Boris Noyvert, Joanna L Parish

“…To further characterise CTCF function in HPV transcription control we utilised direct, long-read Nanopore RNA-sequencing which provides information on the structure and abundance of full-length transcripts. …”
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Greening the marine map: a comprehensive study of China’s marine ecological and economic synergy by Zechen Li, Hanqian Lin, Xuemei Zhang

“…At the same time, the results of the geographic detector further substantiate that energy structure, degree of industrial agglomeration, and foreign overseas direct investment are the principal influencing factors.DiscussionThe study presents policy recommendations derived from the findings intended to foster the integrated advancement of marine ecology and economy in coastal provinces, reduce regional development disparities, and establish a scientific foundation for achieving a sustainable marine economy.…”
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Efficient virtual garment fit evaluation infrastructure based on synthetic avatar target customer groups for MtM application by Michael Ernst, Antje Christophersen, Monika Böhm, Ulrich Botzenhardt

“…The entire process has a three-level structure: First, the avatar population is built up using garment specific body measurements. …”
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Institutional-legal integration of socially vulnerable population into the ecosystem of socially oriented entrepreneurship in Kazakhstan by T.S. Sokira, A.A. Yerezhepova, S.V. Koteev, A.S. Sakhariyeva

“…The results of the study are of practical value and can be used to develop recommendations on creating a favorable environment for the development of social entrepreneurship and the integration of socially vulnerable groups into the economic structure of the country. Key words: social entrepreneurship, socially oriented entrepreneurship, institutional-legal integration, social entrepreneurship ecosystem. …”
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Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China’s Yangtze River Economic Belt by Deyu Meng, Guoen Wei, Pingjun Sun

“…High-high and low-low agglomerations remain the main forms of agglomeration. (3) There are significant differences in the location selection of listed companies with varying specialization levels, forming a relatively different alienated high-value distribution structure among various industry types. (4) The levels of knowledge spillover, city scale, and policy support level are major factors affecting the location selection process of listed companies in the Yangtze River Economic Belt. …”
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Monitoring Crop Condition at Field Scales and at a Daily Time Step Using Synthetic Aperture Radar (SAR): Surveiller l’état des cultures à l’échelle du champ et à une étape de temps... by Heather McNairn, Xianfeng Jiao

“…The SARcal-NDVI and Growing Degree Days were then integrated into a Crop Structure Dynamic Model to produce daily estimates of crop condition, at field scales. …”
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Can We Identify the Active Ingredients of Behaviour Change Interventions for Coronary Heart Disease Patients? A Systematic Review and Meta-Analysis. by Laura Goodwin, Giovanni Ostuzzi, Nadia Khan, Matthew H Hotopf, Rona Moss-Morris

“…The objectives of this systematic review are to determine the effectiveness of CHD behaviour change interventions and how this may be explained by BCT content and structure.<h4>Methods and findings</h4>A systematic search of Medline, EMBASE and PsycInfo electronic databases was conducted over a twelve year period (2003-2015) to identify studies which reported on behaviour change interventions for CHD patients. …”
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Professional identity of female PE teachers in basic education in China by Yanni Liu, Hui Wang, Sanming Fan

“…The professional identity of female PE teachers was characterized by a “non-linear development mode,” a “non-balanced development structure,” and a “high-level development orientation”, which are mainly divided into four types: “passionate,” “neutral,” “apathetic,” and “unbalanced.”…”
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The construction of a psychometric instrument for the educational role enactment of attending physicians in teaching hospitals by Ling-Chun Ou, Yu-Chih Lin

“…Factor analysis revealed a three-factor structure with acceptable reliability, representing three educational roles within the role set: “Clinical Teaching,” “Supportive Counseling,” and “Job Supervision.” …”
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Unsupervised post-training learning in spiking neural networks by Reyhaneh Naderi, Arash Rezaei, Mahmood Amiri, Herbert Peremans

“…Moreover, conventional neural networks are first trained on one dataset and subsequently evaluated on unseen data. In this traditional approach, the weights and structure of the model remain fixed once the training step concludes. …”
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