Investigating Science and Mathematics Teacher Candidate’s Perceptions of TPACK-21 Based on 21st Century Skills

Twenty-first century teachers are expected to have the ability to benefit from collaboration, problem solving, creative and innovative thinking, information and communication technology (ICT) applications. Teachers need to know various pedagogical approaches and appropriate ways to use ICT to support the development of twenty-first century skills of their students. The framework of technological pedagogical content knowledge (TPACK) provides a theoretical model for studying the way teachers use ICT in education. The purpose of this study is to reveal the relationships of the components that constitute the TPACK-21 scale. The data were collected from 254 teacher candidates at a state university in Turkey from the science and math departments in the academic year of 2017-2018. For this purpose, the relationships between the components/factors that constitute the TPACK-21 scale were examined with a model. Relational survey model was used in the research. In the research, the scale developed by Valtonen et al. (2017) determining prospective teachers’ 21st century skills of TPACK-21 was used. The data obtained in the study were analyzed by structural equation modeling. The direct and positive effects of Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK21) and Pedagogical Content Knowledge (PCK21) from external variables consisting of binary knowledge fields of the research are seen on TPACK-21. These variables explain 74% of the change in TPACK-21. TCK is the variable that affects TPACK-21 the most. Another important result reached in this study is that teachers' content knowledge (CK) directly and positively affect TCK and PCK21 and this effect is greater than the effect of technological knowledge (TK) and pedagogical knowledge (PK21). When the results of this research are evaluated, a gradual model including CK and PCK21 can be proposed instead of a direct technology-based approach to professional development programs developed to increase 21st century competencies of teachers’ TPACK-21s

How did the updated 2019 european society of cardiology/european atherosclerosis society risk categorization for patients with diabetes affect the risk perception and lipid goals, a simulated analysis of real-life data from EPHESUS study

Background: The recent 2019 European Society of Cardiology/European Atherosclerosis Society practice guidelines introduced a new risk categorization for patients with diabetes. We aimed to compare the implications of the 2016 and 2019 European Society of Cardiology/European Atherosclerosis Society guidelines with regard to the lipid-lowering treatment use, low-density lipoprotein cholesterol goal attainment rates, and the estimated proportion of patients who would be at goal in an ideal setting. Methods: Patients with diabetes were classified into 4 risk categories according to 2019 European Society of Cardiology/European Atherosclerosis Society dyslipidemia guidelines from the database of EPHESUS (cross-sectional, observational, countrywide registry of cardiology outpatient clinics) study. The use of lipid-lowering treatment and low-density lipoprotein cholesterol goal attainment rates were then compared according to previous and new guidelines. Results: This analysis included a total of 873 diabetic adults. Half of the study population (53.8%) were on lipid-lowering treatment and almost one-fifth (19.1%) were on high-intensity statins. While low-density lipoprotein cholesterol goal was achieved in 19.5% and 7.5% of patients, 87.4% and 69.6% would be on target if their lipid-lowering treatment was intensified according to 2016 and 2019 European Society of Cardiology/European Atherosclerosis Society lipid guidelines, respectively. The new target <55 mg/dL could only be achieved in 2.2% and 8.1% of very high-risk primary prevention and secondary prevention patients, respectively. Conclusion: The control of dyslipidemia was extremely poor among patients with diabetes. The use of lipid-lowering treatment was not at the desired level, and high-intensity lipid-lowering treatment use was even lower. Our simulation model showed that the high-dose statin plus ezetimibe therapy would improve goal attainment; however, it would not be possible to get goals with this treatment in more than one-third of the patients

Recent Advances in Health Biotechnology During Pandemic

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in 2019, cut the epoch that will make profound fluctuates in the history of the world in social, economic, and scientific fields. Urgent needs in public health have brought with them innovative approaches, including diagnosis, prevention, and treatment. To exceed the coronavirus disease 2019 (COVID-19) pandemic, various scientific authorities in the world have procreated advances in real time polymerase chain reaction (RT-PCR) based diagnostic tests, rapid diagnostic kits, the development of vaccines for immunization, and the purposing pharmaceuticals for treatment. Diagnosis, treatment, and immunization approaches put for- ward by scientific communities are cross-fed from the accrued knowledge of multidisciplinary sciences in health biotechnology. So much so that the pandemic, urgently prioritized in the world, is not only viral infections but also has been the pulsion in the development of novel approaches in many fields such as diagnosis, treatment, translational medicine, virology, mi- crobiology, immunology, functional nano- and bio-materials, bioinformatics, molecular biol- ogy, genetics, tissue engineering, biomedical devices, and artificial intelligence technologies. In this review, the effects of the COVID-19 pandemic on the development of various scientific areas of health biotechnology are discussed

İleri kompozit zırh sistemlerinin hesaplamalı yöntemlerle analizi.

Achieving light weight armor design has become an important engineering challenge in the last three decades. As weapons becoming highly sophisticated, so does the ammunition, potential targets have to be well protected against such threats. In order to provide mobility, light and effective armor protection materials should be used. In this thesis, numerical simulation of the silicon carbide armor backed by KevlarTM composite and orthogonally impacted by 7.62mm armor piercing (AP) projectile at an initial velocity of 850 m/s is analyzed by using AUTODYN hydrocode. As a first step, ceramic material behavior under impact conditions is validated numerically by comparing the numerical simulation result with the test result which is obtained from the literature. Then, different numerical simulations are performed by changing the backing material thickness, i.e. 2, 4, 6 and 8mm, while the thickness of the ceramic is held constant, i.e. 8mm. At the end of the simulations, optimum ceramic/composite thickness ratio is sought. The results of the simulations showed that for the backing thickness values of 4, 6 and 8mm, the projectile could not perforate the armor system. On the contrary, the projectile could penetrate and perforate the armor system for the backing thickness value of 2mm and it has still some residual velocity. From these results, it is inferred that the optimum ceramic/composite thickness ratio is equal to about 2 for the silicon carbide and kevlar configuration.M.S. - Master of Scienc

AN ANALYTIC HIERARCHY PROCESS APPLICATION FOR THE BEST DRIVER SELECTION IN UNIVERSITIES

Drivers are responsible for the safety and timely delivery of passengers and materials. Universities employ a certain number of drivers and this responsibility is true for them as well. University drivers are usually sent to different duties. Not only road, weather and traffic conditions but also size and type of vehicles change in different duties. Some drivers are more appropriate for some duties while some others are not. Evaluation of alternatives and assigning the best driver to a specific duty is very important for designating authority in universities. The aim of this study is to search whether the Analytic Hierarchy Process (AHP) is applicable to such an environment. In order to do this, the criteria that are necessary for driver selection have been specified. Two examples, which can be encountered in a university environment and contain two different duties, have been given. Based on those criteria, four alternative drivers have been evaluated for both examples. Priority orders of those four alternative drivers are different for both examples when looking at AHP results