Biomass is a promising source to supply sustainable energy and aid countries in meeting their energy demand also, greenhouse gas reduction targets. In this study, animal based biomass potential energy of Turkey is presented in detail depending on the subspecies. Animal biomass sources are investigated under three major categories. First, bovine animals are investigated in terms of three different cattle species, buffalo and other rare raised species. Second, sheep and goat are considered as two subspecies themselves. Third, poultry consists of two different chicken species, turkey, goose and duck. In this regard, a detailed comparative analysis is carried out to determine which species stood out in terms of biomass energy. In the analyses, energy potential, waste and the production based on each subspecies are presented. The results show that, cattle animals stand out with the bio energy potential of 68.7%, while poultries 23.6%, and sheep and goat 7.7% of total biomass potential of Turkey in 2017.

Hydrogen does not exist in nature in its elemental form so it must be produced using various energy sources. Renewable energy sources such as solar are the best option for clean and sustainable hydrogen production. In this study, hydrogen production capacity of a photovoltaic solar power plant is evaluated which located in Bursa province of Turkey. Daily, monthly and annual electricity generation values of the photovoltaic solar power plant were recorded under actual operating conditions in the data library of the power plant. These values have been used here to investigate hydrogen production capacity by using Proton Exchange Membrane (PEM) electrolyzer. Results show that the maximum mass flow of hydrogen production is 0.0625 kgs-1H2 at peak load. Also, total annual electricity generation of the power plant is 10700 MWh that result in an annual hydrogen production of 344 tons.

It is seen that sport with many different sub-branches and categories has become an important branch of industry in terms of providing economic gain and creating employment. With the growth of the sports industry, the marketing of goods and services that are directly or indirectly related to sports has become remarkable. Not only the companies that produce sports goods and services, but also the companies that produce non-sports goods and services try to take part in the sports sector through sponsorship by recognizing the impact of sports on people. With the sponsorship of sports teams, leagues, federations or organizations, many brands, products and businesses become more recognized and increase brand value and indirect sales. The aim of this study is to reveal the relationship between sports sponsorship and brand value. The questionnaire method was used to learn the opinions of the fans and to measure the relationship between sports sponsorship and brand value. The scales were the Communication Companies Sport Sponsorship Scale (Ercan and Özbek, 2017), and the Brand Value Scale (Yoo and Donthu, 2001; Taşkın and Koşat2016). The 697 data sets obtained from the five competitions were subjected to correlation and regression analysis. As a result of the statistical analyzes, when the relationship between the perspective to the sponsor brand and the sub-dimensions of brand value was examined, a weak and positive relationship with perceived quality and brand loyalty, and a high and positive relationship with brand awareness was found. However, there was a very weak and positive relationship between the perspective to the sports sponsorship and the perceived quality and brand loyalty and a weak and positive relationship with the brand awareness. In general, when the whole effect of sport sponsorship to the brand value is analyzing, it is seen that it has a moderate and positive effect.

Objective: The objective of the study is to determine whether there is a relationship between the communication skills of the nurses working in the emergency department and the level of aggression perceptions and the violence that nurses are exposed to, and if any, to determine the factors that affect this relationship.\nMethod: This type of research was carried out between the dates of 15/05/2018-15/08/2018 with 232 nurses who accepted to participate in the emergency services of hospitals affiliated to the Public Hospitals Association and the emergency services of private hospitals in the center of Samsun. Data were collected using the nursers introductory information form, violence assessment form, ”Effective Communication Skills Scale“ and \"Aggression Perceptions Scale “ developed according to the literature by the researcher. For analyzing the data, descriptive analyses, Mann Whitney U Test and Spearman correlation analysis tests were used.\nFindings: It was determined that 73.7% of the nurses were exposed to violence during their professional life, 66.4% were exposed to verbal violence, 44.4% were exposed to violence by patients\' relatives and 37% were exposed to violence by patients. Nurses\' Aggression Perception Scale Dysfunctional sub-dimension average score 68.24 (16-80), The functional subscale mean score was 23,63 (11-55). The highest subdimension mean score that the nurses have got from the Effective Communication Skills Scale was \"35 (8-40)\"from active listening sub-dimension.\nResult: In the hospitals included in the study, the rate of exposure to physical and verbal violence in nurses working in emergency departments was found high, and therefore arrangements should be made in order to provide a healing environment in emergency services, in-service training programs about aggression management and communication skills of health care team/nurses should be held periodically and nurses should be encouraged to report on the cases of violence they experience.

With the growth of wireless communication technologies and sensor technologies, ubiquitous healthcare (uHealthcare) based on Internet things (IoT) is becoming a big research focus from various researchers. However, security and privacy issues are top most important focuses to be solved for the success of uHealthcare service. This paper provides cryptnalysis on Mahmood et al.’s authentication and prescription safety protocol, which is focused on denial of service attack and stolen-verifier attack. Furthermore, we propose a privacy preserving authenticated key agreement protocol for IoT based uHealthcare, which is based on hash function, symmetric key cryptosystem and bilinear pairing. The proposed protocol efficiently solves the security and privacy problems in Mahmood et al.’s protocol and also provides computational efficiency compared to the related protocols.

In real world applications internet of things becoming an important role. Most IoT applications are integrated with wireless sensor networks. Usually the wireless sensor networks in IoT require hundreds or thousands of sensors may be deployed and integrated. In this scenario management of networks is the biggest issue. To manage the larger network scenario software defined networking is an added advantage. It gives a promising solution for flexible management of data plane and control plane. Efficient transmission of data with minimum energy is the main goal. So dividing the nodes into multiple clusters and cluster head is needed for manage those clusters. To maximizing the lifetime of the network with minimum energy there is in need of energy efficient cluster head selection. We provide the optimality in cluster head selection by using particle swarm optimization. There are so many researchers are already done this work with PSO but the results are not up to the level. This paper demonstrated the updated PSO algorithm through modified and improved fitness function. The proposed algorithm is experimented in matlab and the results are evaluated to show their supremacy in term of alive nodes, energy expenditure, dead nodes and fitness value.