Abstract This paper presents the results of the research on renal blood vessels of the mink. The main goal of this research is to provide a unique insight in renal vessel constellation and thereby contributes to the amount and quality of the available data on the cardiovascular system of the mink, since the data found in the available literature regarding this specific field is rather poorly documented. Blood vessels of the mink kidney were studied by dissection and corrosion injection technique. The renal artery and its branches, and the lobar, interlobar and interlobular arteries are terminal arteries and they do not anastomose between each other. The arterial system is characterized by two independent vascular areas, supplied by the dorsal and ventral lobar artery. Lobar arteries divide the kidney horizontally into a dorsal and ventral half, while lobar veins divide it vertically into the cranial and caudal half. The renal vein is formed from the cranial and caudal lobar vein. The obtained results are compared with relevant literature findings on renal blood supply of a dog and other sympatric carnivores.

In (para‐)thyroid surgery iatrogenic parathyroid injury should be prevented. To aid the surgeons’ eye, a camera system enabling parathyroid‐specific image enhancement would be useful. Hyperspectral camera technology might work, provided that the spectral signature of parathyroid tissue offers enough specific features to be reliably and automatically distinguished from surrounding tissues. As a first step to investigate this, we examined the feasibility of wide band diffuse reflectance spectroscopy (DRS) for automated spectroscopic tissue classification, using silicon (Si) and indium‐gallium‐arsenide (InGaAs) sensors.

Motion control technology is making its way into the unstructured world inhabited by humans. It allows development of applications beyond the structured environment of an industrial plant. Such applications of motion control technology require shifting focus to the models, control strategies and algorithms needed for systems to work, interact, and cooperate with humans or other artifacts in an unstructured environment. Real-world haptic interactions are becoming an important technology with potential application in many different fields like surgery, teleoperation, cooperative work, microsystems, and education. These developments are leading to numerous challenges that need to be solved in order to develop practical and competent systems that support the human operator, and are fault tolerant, safe, easy to use, and capable of adapting to long-term changes in the environment. This paper discusses a number of the emerging issues within motion control technology, including but not limited to new algorithms that allow concurrent force/position control, human-in-the loop control, control in functionally related systems and haptics over internet.

With the transition toward 5G, mobile cellular networks are evolving into a powerful platform for ubiquitous large-scale information acquisition, communication, storage, and processing. 5G will provide suitable services for mission-critical and real-time applications such as the ones envisioned in future smart grids. In this work, we show how the emerging 5G mobile cellular network, with its evolution of machine-type communications and the concept of mobile edge computing, provides an adequate environment for distributed monitoring and control tasks in smart grids. In particular, we present in detail how smart grids could benefit from advanced distributed state estimation methods placed within the 5G environment. We present an overview of emerging distributed state estimation solutions, focusing on those based on distributed optimization and probabilistic graphical models, and investigate their integration as part of the future 5G smart grid services.

Introduction: Obesity is one of the greatest health problems in the world. The World Health Organization (WHO) defined obesity as a disease in which the excess of adipose tissue accumulates in such a degree that is endangers health. Obesity is a very complex multifactor disease that is developed under the influence of genetic and metabolic factors, environment, social and cultural environment as well as bad habits. The causes of obesity can be numerous. The most common source of obesity is the development of energetic imbalance. Material and methods: A retrospective study of medical records in the Department of Obstetrics and Gynecology, University Clinical Hospital in Mostar was conducted. It included 1300 pregnant women and their children that were delivered in the time period from January 1st 2015 to December 31st 2015. It was conducted a retrospective study which involved 1300 pregnant women who gave births in the Department of Obstetrics and Gynecology of University Clinical Hospital in Mostar in the period from January 1st 2015 to December 31st 2015 and their newborns. Results: The difference in age of pregnant women with different body mass index was not statistically relevant. The average age of pregnant women with normal body mass was 29.52 ± 5.48, overweight pregnant women 30.30 ± 5.138, and obese pregnant women 30.00 ± 5.103 (F = 2.730; p = 0.066). The youngest was 24, and the oldest was 49 years old. The average gestational age at delivery was 39.23 ± 1.556 (min 28; max. 42 weeks of gestation). The majority of pregnant women; 660 of them (50.8 %), were overweight in the early stages of their pregnancy, there were 322 (24.8 %) obese women, and there were 318 (24.5 %) normal weight women. At the end of the pregnancy, the highest number was that of obese pregnant women 925 (71.2 %), while 328 (25.2 %) pregnant women were overweight, and only 47 (3.6 %) pregnant women had normal weight. Conclusion: Nutritive status and weight gain of a mother during pregnancy are an important indication of her health and of the foetus growth. Overweightness and obesity of a mother before pregnancy and during pregnancy has a negative influence on the health of the mother and infant. Moreover, it is linked with risk and a negative pregnancy outcome. BMI was associated with an increased risk of adverse perinatal outcome.

AbstractThis paper presents the concept of industrial symbiosis in which four industries available locally (steel plant, thermal power plant, aluminum plant, and stone quarry) are connected with the concrete industry. By-products generated by these industries (slag, fly ash, red mud, and quarry dust) were activated with a small amount of clinker to form four concrete mixes. The heat of hydration and the autogenous shrinkage were monitored on the fresh concrete mixes. The chloride migration and electrical resistivity of the concrete were measured at different concrete ages over 91 days. Drying shrinkage was monitored for 56 days, and compressive strength was tested after 28 and 91 days. The concrete prepared with a high volume of fly ash, slag, red mud, and quarry dust had very low chloride migration coefficients and less drying shrinkage compared to concrete prepared with ordinary cement. The synergetic beneficial effect of these by-products is explained by their complementary chemistry and particle-size ...

We show how generalized Zagreb indices $M_1^k(G)$ can be computed by using a simple graph polynomial and Stirling numbers of the second kind. In that way we explain and clarify the meaning of a triangle of numbers used to establish the same result in an earlier reference.