Covid-19 Salgın Sürecinde Uzaktan Eğitim Ortamlarının Kullanımına İlişkin Yükseköğretim Öğrencilerinin Tutumları

The aim of this research is to examine the attitudes of students studying in undergraduate departments of universities towards the use of distance education environments due to the COVID-19 epidemic detected in the city of Wuhan, Hubei province of the People's Republic of China. The method of the research; mixed method. The population of the research consists of 152 undergraduate students. Data collection tools of the research; the first vehicle; "Attitude scale regarding the use of distance education environments in the pandemic process" is the second tool in the research; it consists of a semi-structured interview form prepared by the researcher. Analysis of data; the data were analyzed in two ways. Firstly, ward technique, one of the hierarchical clustering analysis methods, was used and square Euclidean distance was chosen as a distance measure. Differences in attitudes towards the use of distance education environments according to ward's cluster analysis technique; it is classified into three clusters: Effectiveness and Satisfaction, Motivation and Dissatisfaction. After the classification, a random semi-structured interview form was applied to two students in each cluster formed. As a result; it has been concluded that students have positive and negative opinions about distance education activities.Bu araştırmanın amacı, Çin Halk Cumhuriyeti'nin Hubei eyaletine bağlı Wuhan şehrinde tespit edilen COVID-19 salgın nedeniyle üniversitelerin lisans bölümlerinde okuyan öğrencilerin uzaktan eğitim ortamlarının kullanımına ilişkin tutumlarını incelemektir. Araştırmanın yöntemi; karma yöntemdir. Araştırmanın evrenini 152 lisans öğrencisi oluşturmaktadır. Araştırmanın veri toplama araçları; İlk araç; Araştırmada "Pandemi sürecinde uzaktan eğitim ortamlarının kullanımına ilişkin tutum ölçeği" ikinci araç; araştırmacı tarafından hazırlanan yarı yapılandırılmış görüşme formundan oluşmaktadır. Verilerin analizi; veriler iki şekilde analiz edilmiştir. İlk olarak hiyerarşik kümeleme analiz yöntemlerinden ward tekniği kullanılmış ve uzaklık ölçüsü olarak kare öklid uzaklığı seçilmiştir. ward'ın kümeleme analizi tekniğine göre uzaktan eğitim ortamlarının kullanımına yönelik tutum farklılıkları; Üç kümede sınıflandırılmıştır: Etkililik ve Memnuniyet, Motivasyon ve Memnuniyetsizliktir. Sınıflandırmadan sonra oluşturulan her kümede ikişer öğrenciye rastgele yarı yapılandırılmış görüşme formu uygulanmıştır. Sonuç olarak; öğrencilerin uzaktan eğitim etkinlikleri hakkında olumlu ve olumsuz görüşlere sahip oldukları sonucuna ulaşılmıştır

Experimental Study on Active Cooling Systems Used for Thermal Management of High-Power Multichip Light-Emitting Diodes

The objective of this study was to develop suitable cooling systems for high-power multichip LEDs. To this end, three different active cooling systems were investigated to control the heat generated by the powering of high-power multichip LEDs in two different configurations (30 and 2 × 15 W). The following cooling systems were used in the study: an integrated multi-fin heat sink design with a fan, a cooling system with a thermoelectric cooler (TEC), and a heat pipe cooling device. According to the results, all three systems were observed to be sufficient for cooling high-power LEDs. Furthermore, it was observed that the integrated multifin heat sink design with a fan was the most efficient cooling system for a 30 W high-power multichip LED. The cooling system with a TEC and 46 W input power was the most efficient cooling system for 2 × 15 W high-power multichip LEDs

Identifying Extract Class and Extract Method Refactoring Opportunities Through Analysis of Variable Declarations and Uses

For small software systems, with perhaps a few thousand lines of code, software structure is largely an esthetic issue. When software systems grow large, including perhaps a million or more lines of source code, their structures become much more important. Developing a large system requires teams of developers working in concert to provide a finished product in a reasonable amount of time. That means that many people will read each component to use, test or modify towards accomplishing new features. In the software development life cycle, the maintenance phase is a dominant stage that impacts production cost of the system dramatically. This is mainly because, for a successful system, the maintenance phase lasts until the system\u27s retirement and includes crucial operations such as enhancing performance, fixing newly discovered bugs and adopting/expending the software to meet new user requirements. Moreover, a software component may be modified or fixed by someone who is not the original author of that component. In this case, all the operations conducted during maintenance or initial development may lead to insertion of code into a unit that may be unrelated to the original design concept of that unit. As software systems become large and complex they grow too long to read and understand completely by a single person. After their initial implementations, maintenance operations tend to make the system even less maintainable, increasing the time and effort needed for future maintenance. In this research, we are interested in finding ways to successfully detect code defects and propose solutions to increase the overall maintainability of software systems that are larger than any one person can completely comprehend from its code alone. This process of refactoring software impacts the total production cost of the system positively by improving the quality of software code such as its comprehensibility and readability. To reduce the total development cost for a system, we suggest three main re-factorings. These novel forms of refactoring techniques aim to eliminate code defects such as large classes and long methods. The main goal of these re-factorings is to create smaller and cohesive software units with clear intentions to improve the maintainability of software. We provide analysis and visualization tools to help a user identify candidate code fragments to be extracted as separate unites. With these automation tools, developers do not have to manually inspect a foreign code base to detect possible refactoring opportunities. Through the visual representations we provide, one can observe all suggested re-factorings effectively on large scale software systems and decide whether a particular refactoring needs to be applied. To show the effectiveness of our techniques, we also provide some experiments conducted using these tools and techniques both on our own project\u27s source code and other open-source projects

Lezzetin düşmeyen Borsa'sı:Borsa'nın yeni lokantası Mediterranean, İstanbul'da açıldı. Sırada New York var

Taha Toros Arşivi, Dosya No: 112-Lokantalarİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Meyhane patroniçeleri

Taha Toros Arşivi, Dosya No: 112-Meyhanelerİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Sergide buluştular

Taha Toros Arşivi, Dosya Adı: Ahmet Cevat Paşa-Cevat Şakir Kabaağaçl

Andon'la bir kış daha

Taha Toros Arşivi, Dosya No: 38-Beyoğlu-İstiklal Caddesiİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Taksim'de Boğaz keyfi

Taha Toros Arşivi, Dosya No: 112-Lokantalarİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Ben fotoğraf çekmeseydim edebiyatımız yüzsüz olacaktı

Taha Toros Arşivi, Dosya Adı: Ara GülerUnutma İstanbul projesi İstanbul Kalkınma Ajansı'nın 2016 yılı "Yenilikçi ve Yaratıcı İstanbul Mali Destek Programı" kapsamında desteklenmiştir. Proje No: TR10/16/YNY/010