A Research to Determine the Entrepreneurial Tendency of University Students

anemonBir ülkedeki başarılı şirketlerin sayısını ve refah seviyesini arttırmak için, ailede ve eğitim kurumlarında bireylere girişimciliği öğretmek ve onların girişimcilik özelliklerini geliştirmek önemli bir husustur. Bu çalışmada, Mehmet Akif Ersoy Üniversitesi’ndeki öğrencilerin kişisel özellikleri ve girişimcilik başarısını etkileyen unsurların belirlenmesi amaçlanmıştır. Bu çalışmanın diğer bir amacı da katılımcıların yaratıcılık, risk alma eğilimi ve kontrol odaklılığı gibi diğer özelliklerinin belirlenmesidir. Çalışmada ayrıca katılımcıların girişimcilik özelliklerinin girişimcilik eğilimleri üzerindeki etkisinin ölçülmesine çalışılmıştır. Sonuç olarak, katılımcıların girişimcilik eğilimleri olduğu çoğunluğunun girişimci olmak için bir iş fikrine sahip oldukları ve gelecekte bunları uygulamayı istedikleri belirlenmiştir.To increase the number of successful companies and welfare in a country, it is an important issue to teach individuals what the entrepreneurship means, and to develop individuals’ entrepreneurial features in the family and educational institutions. In this study, it is aimed to determine the students’ personal features in Mehmet Akif Ersoy University and the factors affecting the success of entrepreneurs. Also, it is another purpose of this study to determine other features of the students such as creativity, risk-taking ability, and control focality. Finally, it is tried to determine the effect of the students’ entrepreneurial features on the entrepreneurship tendency. In conclusion, it has been determined that the participants have entrepreneurial tendencies, and most of them have an opinion about their entrepreneurial projects, and they desire to apply their opinions as entrepreneurs in the future.28511

Single Batch Processing Machine Scheduling with Sequence-Dependent Setup Times and Multi-Material Parts in Additive Manufacturing

Additive manufacturing (AM) has been a breakthrough revolution in themanufacturing world due to the ability to economically print parts with highgeometric complexity, minimal vast and dissimilar materials in the sameprinting process. However, some problems arise with the usage ofmulti-materials in AM machines. This study aims to analyze the schedulingproblem of a single AM machine for printing multi-material parts. We developeda mathematical model for a single AM machine to directly minimize the makespanof a production schedule of multi-material parts and indirectly minimize thematerial changeovers. IBM ILOG CPLEX Optimization Studio (v12.10) is used forthe development stage of the model. Some numerical examples from AM literaturewere handled and solutions were gathered. Effects of material changeover costsfor the different numbers of materials were investigated. Results indicatedthat setup time depending on material changeoversbecomes a critical parameter for the minimization of makespan. Highernumbers of dissimilar materials increase the completion time of the schedule.While the developed model can be used for AM machines with different materialchangeover difficulties, it can also be used in the printing of parts that needto be uncontaminated finished products.</p

COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey

A local outbreak of unknown pneumonia was detected in Wuhan (Hubei, China) in December 2019. It is determined to be caused by a severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) and called COVID-19 by scientists. The outbreak has since spread all over the world with a total of 120,815,512 cases and 2,673,308 deaths as of 16 March 2021. The health systems in the world collapsed in many countries due to the pandemic and many countries were negatively affected in the social life. In such situations, it is very important to predict the load that will occur in the health system of a country. In this study, the COVID-19 prevalence of Turkey is inspected. The infected cases, the number of deaths, and the recovered cases are predicted with Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN) in Turkey. The techniques are compared in terms of correlation coefficient and mean square error (MSE). The results showed that the used techniques used are very successful in the estimation of prevalence in Turkey. (c) 2021 Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/)

Effects of propolis on biochemical and microbiological parameters in carp (Cyprinus carpio) fillets exposed to arsenic

The purpose of this study was to investigate the therapeutic effects of propolis on biochemical and microbiological parameters in muscle tissues of carp (Cyprinus carpio, Linnaeus 1758) exposed to arsenic. A sublethal concentration of arsenic (0.01 ppm) and/or 0.01 ppm propolis were administered to fish for seven days. Biochemical parameters [pH, lactic acid, total volatile basic nitrogen (TVB-N), and malondialdehyde (MDA) values] and microbiological changes (mesophilic and psychrophilic bacteria count) were determined in fillet of carp in control, arsenic only, propolis only and arsenic+propolis treatment groups. Results showed that the levels of MDA, lactic acid and TVB-N increased (p<0.05) while there were decreases total counts of psychrophilic, mesophilic bacteria and level of pH in arsenic group compared to the control group. Additionally, levels of pH, lactic acid, TVB-N, counts of psychrophilic and mesophilic bacteria in arsenic (0.01 ppm)+propolis (10 ppm) group significantly reduced compared to arsenic group (p<0.05). In conclusion, propolis can affects some biochemical and microbiologic functions and quality in the fillet of carp exposed to arsenic

Effects of Propolis on microbiologic and biochemical parameters of Rainbow trout (Oncorhynchus mykiss) after exposure to the pesticide

Cypermethrin is a potential toxic pollutant that directly threatens the aquatic ecosystems and environment. Propolis, a natural product collected from plants by honey bees has many functions, such as antimicrobial, antioxidant, and anti-inflammatory. This study attempted to detrmine some biochemical and microbiological parameters of rainbow trout fillets after exposure to propolis and cypermethrin. The results of the current study revealed that levels of malondialdehyde (MDA), lactic acid, total volatile base-nitrogen (TVB-N), total counts of psychrophilic, and mesophilic bacteria increased in cypermethrin groups (P<0.05), compared to control group. Furthermore, there were no significant differences in pH levels between groups. Additionally, levels of MDA, lactic acid, TVB-N, count of psychrophilic, and mesophilic bacteria in cypermethrin+propolis treated groups were significantly reduce in comparison to exposed groups with cypermethrin (P<0.05). The findings also showed that the fillet quality some biochemical and microbiologic functions of fishes could be changed in groups that exposed to cypermethrin by propolis

Understanding medication adherence among patients of Turkish descent with type 2 diabetes: a qualitative study

Objectives: To explore perspectives of Turkish migrants with type 2 diabetes mellitus (T2DM) on adherence to oral hypoglycaemic agents (OHA). Design: In-depth interviews with 21 T2DM patients of Turkish descent recruited from primary care and community sources in Ghent, Belgium, using a theoretical sampling procedure. Analysis was guided by a grounded theory approach, using Nvivo 8. Results: Respondents reported a multitude of barriers and facilitators of adherence to OHA. Some of these barriers are distinctive for T2DM patients of Turkish descent. Respondents' causal beliefs about stress and the Belgian climate often led to non-adherence during less stressful periods, like summer holidays in Turkey. Some respondents adjusted their medication use to food intake or during Ramadan fasting. Concerns about OHA were the main reason for the widespread use of herbal medicine in this sample. The religious framework used to interpret diabetes led, in combination with feelings of depression, to non-adherence in some respondents while it facilitated medication adherence in others. A potential gender effect with respect to the self-management of OHA was observed. Non-distinctive factors include: beliefs about OHA, polypharmacy, beliefs about the course of diabetes, forgetfulness, the perception of the doctor's medical expertise, feelings of depression and social support. Conclusion: Health care providers should explore in detail and regularly patients' perspectives on illness beliefs, medication beliefs and their trust in doctors' medical expertise as this will provide useful starting points for promoting medication adherence. Whenever possible health care workers should engage with their patients in therapeutic alliances

Synthesis and antimicrobial activity evaluation of new dithiocarbamate derivatives bearing thiazole/benzothiazole rings

<p>The synthesis of 2-(substituted phenyl)-2-oxoethyl 4-(pyrimidin-2-yl)piperazin-1-carbodithiodate (<b>A1-A24</b>) derivatives and 2-(4-substituted thiazol-2-ylamino)-2-oxoethyl 4-(pyrimidin-2-yl)piperazin-1-carbodithiodate (<b>B1-B14</b>) derivatives was undertaken starting from the potassium salt of 4-(2-pyrimidinyl)piperazine dithiocarbamate. The structures of the obtained compounds were elucidated by ¹H NMR, ¹³C NMR, MS spectral data, and elemental analysis. The antimicrobial activity of the thirty eight newly synthesized compounds were tested against 12 microorganism strains using the microdilution technique. Compounds 2-(4-ethoxycarbonylthiazol-2-ylamino)-2-oxoethyl 4-(pyrimidin-2-yl)piperazin-1-carbodithiodate (<b>B12</b>), 2-(3-fluorophenyl)-2-oxoethyl 4-(pyrimidin-2-yl)piperazin-1-carbodithiodate (<b>A18</b>) and 2-(3,4-difluorophenyl)-2-oxoethyl 4-(pyrimidin-2-yl)piperazin-1-carbodithiodate (<b>A21</b>) were determined to possess high antimicrobial activity.</p