Relative importance of anxiety and motivational variables in predicting language achievement for college learners of Chinese

The growing worldwide enthusiasm in learning Chinese calls for more research on learner characteristics in Chinese classrooms to better inform teaching practice. Language anxiety, which falls under the umbrella of learner’s affect, is considered an important affective aspect that negatively influences language learning and acquisition. As research on language anxiety mainly focused on the learning of Western languages, this study constitutes an initial attempt to investigate anxiety in the learning of Chinese through the testing of a structural model. The purpose of the study was to examine the relative importance of language anxiety in predicting Chinese achievement when motivation, integrativeness, and attitudes toward the learning situation were controlled. The study took place in a Southwestern university in China. Adopting a correlational design, this study measured 14 variables from which five constructs were formed—anxiety, motivation, integrativeness, attitudes toward learning situation, and Chinese achievement. The anxiety measures were from the Chinese language learning anxiety scale. The motivational measures were adapted from the international attitude and motivation test battery. The achievement measures included a HSK listening test, a HSK reading test, and students’ final course grades. A total of 223 students from the International College participated in this study. Students completed a written survey containing all the anxiety and motivational measures. Then they took the HSK listening and reading test. Students’ course grades in the Comprehensive Chinese course were collected at the end of the spring semester. The findings of structural equation modeling suggested that language anxiety negatively predicted Chinese achievement when motivation and attitudes toward the learning situation were controlled. Students’ attitudes toward the learning situation predicted their motivation, but motivation did not predict Chinese achievement. The follow-up analysis showed that motivation predicted student’s course grades but not their performance on the HSK tests. It can be concluded that language anxiety had a negative effect on language achievement for international learners of Chinese. Teachers were recommended to have an awareness of the nervousness and discomfort experienced by their students in language classrooms and to take measures to create a low-anxiety learning environment

A Case Report about Diabetes Mellitus and COVID-19 Outbreak

The coronavirus disease 2019 (COVID-19) pandemic has almost collapsed most of the healthsystems of communities around the world. The rapid increase in the number of cases hasbrought this virus to the top of the agenda, and many issues such as the mode of transmissionof the virus, how long it remains alive, how it should be protected have been the mostresearched topics in the last year. It is observed that mortality is high especially in patients withchronic diseases and elderly patients. In also diabetes mellitus, one of the chronic diseases, therisk of morbidity and mortality is high due to COVID-19. Our case report states that there areimpairments in blood glucose regulation in the follow-up of patients with diabetes mellitushospitalized due to COVID-19 infection and that they should be dealt with, and the course ofCOVID-19 infection with poor prognosis

Effectiveness of tweets with social networks

Web 2.0 teknolojisinin hayatımıza girmesiyle birlikte, internet dünyasında insanlar içerik tüketen değil, aksine kendileri de artık içerik üreten, aktif bireyler haline gelmiştir. Web 2.0’ın belki de hayatımıza en büyük katkısı sosyal ağlar olmuştur. Bu çalışmada, önemli bir sosyal ağ aracı olan twitterdan elde edilen verilerden hareketle sosyal ağ analizi yapılmaktadır. Twitter 320 milyondan fazla kullanıcısıyla dünyada en büyük ikinci sosyal ağ sitesidir. Elde edilen veriler, sosyal ağ analizi için özel olarak tasarlanmış NodeXL Pro programı yardımıyla analiz edilmiştir. Bir mikroblog sitesi olan twitterdan, son zamanlarda ülkemizde çok fazla tartışma konusu haline gelmiş olan, ÖSYM hakkında atılan tweetler çekilmiş ve ağın yapısı detaylı olarak incelenmiş ve görselleştirme yapılarak önemli algoritmalar hesaplanmıştır. Elde edilen sonuçlar bize, son zamanlarda ÖSYM’nin imajının sarsıldığını ve kuruma güven duyulmadığını ortaya çıkarmıştır. ÖSYM’nin toplum gözündeki güvenirliliğini arttırabilmesi için, bir an önce birtakım önlemler alarak, bu yönde çalışmalar yapması bir zorunluluktur.With the entry of Web 2.0 technology into our lives, people on the internet have become active individuals who are not consuming content but producing content themselves. Web 2.0 technology's Perhaps the biggest contributor to our lives has been social networks. This study conducts social network analysis from the data obtained from twitter, an important social networking tool. Twitter is the second largest social networking site in the world with more than 320 million users. The obtained data was analyzed with NodeXL Pro, an Excel extension specially designed for social network analysis. From Twitter which is a micro blogging site, has recently been tweeted about OSYM, which has become a lot of discussion topic in our country, and its network structure has been examined in detail, visualization has been done and important algorithms have been calculated. It has recently been revealed that the image of OSYM has been shaken and the institution has not been trusted. It is imperative for the OSYM to take precautions as soon as possible in order to increase the reliability of the society

Senti̇ment analysis and social media application

Bilgisayar teknolojilerinde meydana gelen değişiklik hayatın her aşamasında yenilikleri de beraberinde getirmiştir. Bunlardan en önemlileri farklı tiplerde ki verilerin derlenip saklanabilmesine, işlenmesine imkan tanıması ve geleneksel medya araçlarına alternatif olarak sosyal medyanın kullanılmaya başlanmasıdır. Geçmişte bir verinin işlenebilmesi için o verinin yapılandırılmış olma ön koşulu varken, günümüzde yapılandırılmamış verilerde son derece kolay bir şekilde işlenebilmektedir. Metin madenciliği tam da burada karşımıza çıkmaktadır. Yapılandırılmamış halde bulunan metinler artık rahatlıkla işlenebilmektedir. Duygu analizi son yıllarda hızla popülaritesi artan bir araştırma alanı olmuştur. Duygu analizinde temel amaç, metinde yer alan duygunun ortaya çıkarılabilmesidir. Sosyal medya özellikle Web 2.0 teknolojisini getirmiş olduğu ve insanların yaşamlarını tamamen değiştiren bir kavramdır. Sosyal medya sayesinde, bireyler artık kendilerine sunulan içerikleri tüketen pasif kullanıcılar değil, kendileri de içerik üretip bunu paylaşabilen aktif bireyler haline gelmiştir. Günümüzde akıllı telefona sahip olan herkes aynı zamanda birer içerik üreticisidir. R yazılımı dünya da son yıllarda en sık kullanılan ve pek çok işlemi kolaylıkla yerine getirebilen önemli bir açık kaynak kodlu programdır. Ancak ülkemizde henüz değeri çok iyi algılanamamış ve kullanım düzeyi istenilen seviyeye ulaşamamıştır. Bu tezde R yazılımı ile duygu analizi yapılmıştır. Duygu analizi için Twitter’dan, 24 Haziran 2018 de Türkiye’de yapılan Cumhurbaşkanlığı ve 27. Dönem Millet Vekilli Genel Seçimi’ne ilişkin en yüksek oy alması beklenen aday ve partilere ilişkin bir ay boyunca atılan tweetlerden ele alınmıştır. Tweetlerden hareketle duygu analizi yapılmış, bu amaçla duygu skoru hesaplanmış ve makine öğrenmesi ile hesaplamalar yapılmıştır. Elde edilen veriler ile seçim sonuçları karşılaştırılımıştır.The change that took place in computer technology brought innovations with every step of life. The most important of these is the compilation of data in different types, the possibility of processing them, and the introduction of social media as an alternative to traditional media tools. In the past, when a given data is processed, it can be processed very easily in the unstructured data of today, while the data is pre-configured. Text mining is exactly here. Unstructured texts can now be easily processed. Emotional analysis has been a rapidly growing field of research in recent years. The main purpose of emotion analysis is to be able to reveal the sensation in the text. Social media is a concept that especially brings Web 2.0 technology and changes people's lives completely. With social media, individuals are no longer passive users who consume content that is presented to them, but become active individuals who can produce and share content themselves. Today, everyone who owns a smartphone is also a content producer. R software is one of the most frequently used open source programs in the world in recent years and can easily handle many operations. However, in our country, the value has not been perceived very well and the level of use has not reached the desired level. In this thesis, emotion analysis was done with R software. Essential texts for emotion analysis were obtained from Twitter, an important social sharing site. For sentiment analysis on Twitter, June 24, 2018 also receive the highest number of votes related to the presidential and 27. Period Vekille Nations General elections in Turkey were taken from discarded tweets related to the expected candidates and parties. Sentiment analysis was performed by tweets, the emotion score was calculated for this purpose and calculations were made by machine learning. We compared the selection results with the obtained data

The Effect of Tomato Waste Compost on Yield of Tomato and Some Biological Properties of Soil

Turkey ranks third in the world in terms of tomato production, and approximately 12.5 million tons of tomatoes are produced annually. Especially in greenhouse cultivation, tomato wastes do not stay in the soil and are taken out of the greenhouse. Ten million tons of tomato waste is generated annually in Turkey. Compost is a very important organic material containing plant nutrients such as nitrogen, phosphorus, potassium, magnesium, and microelements. Tomato waste compost is a good organic fertilizer that increases both tomato yield and biological activities in soil. The aim of this study is to determine the effect of tomato compost (TC) on tomato yield and biological properties of soils. For this purpose, a pot experiment was established in the greenhouse and TC was applied in four different doses (TC1—1%, TC2—2%, TC3—4%, TC4—6%) to pots containing 3.5 kg of soil, these doses were also applied with chemical fertilizer (CF) (CF, TC1 + CF, TC + CF, TC3 + CF, TC4 + CF), and then tomato plants were grown. Each application was applied as three replications. Among the compost applications, the highest tomato yield was obtained with the TC4 (0.96 kg/pot, 14.4 t/ha) application: 15.66% higher yield was obtained compared to chemical fertilizers. Among all treatments, TC1 + CF (1.07 kg/pot, 16.10 t/ha), which increased the tomato yield by 28.9%, had the highest yield. All applications have increased CO2 production in the soil; the highest CO2 production was determined in the last harvest period with TC3 + CF and TC4 + CF (0.27 mgCO2 1 gr−1 24 h−1). The maximum microbial biomass carbon content was determined in the first harvest period. Among the applications, the most microbial biomass carbon was determined after the TC4 + CF (114.42 mgMBC 100 gr−1) application. Catalase enzyme activity was obtained the most with TC4 + CF (601.56 mlO2 1 gr−1) application in first florescence. Dehydrogenase enzyme activity was obtained the most with TC3 (55.96 μg TPF g−1) application in end of harvest. After compost application, tomato yield increased and biological properties of soil improved

The Effect of Tomato Waste Compost on Yield of Tomato and Some Biological Properties of Soil

Turkey ranks third in the world in terms of tomato production, and approximately 12.5 million tons of tomatoes are produced annually. Especially in greenhouse cultivation, tomato wastes do not stay in the soil and are taken out of the greenhouse. Ten million tons of tomato waste is generated annually in Turkey. Compost is a very important organic material containing plant nutrients such as nitrogen, phosphorus, potassium, magnesium, and microelements. Tomato waste compost is a good organic fertilizer that increases both tomato yield and biological activities in soil. The aim of this study is to determine the effect of tomato compost (TC) on tomato yield and biological properties of soils. For this purpose, a pot experiment was established in the greenhouse and TC was applied in four different doses (TC1—1%, TC2—2%, TC3—4%, TC4—6%) to pots containing 3.5 kg of soil, these doses were also applied with chemical fertilizer (CF) (CF, TC1 + CF, TC + CF, TC3 + CF, TC4 + CF), and then tomato plants were grown. Each application was applied as three replications. Among the compost applications, the highest tomato yield was obtained with the TC4 (0.96 kg/pot, 14.4 t/ha) application: 15.66% higher yield was obtained compared to chemical fertilizers. Among all treatments, TC1 + CF (1.07 kg/pot, 16.10 t/ha), which increased the tomato yield by 28.9%, had the highest yield. All applications have increased CO2 production in the soil; the highest CO2 production was determined in the last harvest period with TC3 + CF and TC4 + CF (0.27 mgCO2 1 gr−1 24 h−1). The maximum microbial biomass carbon content was determined in the first harvest period. Among the applications, the most microbial biomass carbon was determined after the TC4 + CF (114.42 mgMBC 100 gr−1) application. Catalase enzyme activity was obtained the most with TC4 + CF (601.56 mlO2 1 gr−1) application in first florescence. Dehydrogenase enzyme activity was obtained the most with TC3 (55.96 μg TPF g−1) application in end of harvest. After compost application, tomato yield increased and biological properties of soil improved

A Case Report about Diabetes Mellitus and COVID-19 Outbreak

The coronavirus disease 2019 (COVID-19) pandemic has almost collapsed most of the healthsystems of communities around the world. The rapid increase in the number of cases hasbrought this virus to the top of the agenda, and many issues such as the mode of transmissionof the virus, how long it remains alive, how it should be protected have been the mostresearched topics in the last year. It is observed that mortality is high especially in patients withchronic diseases and elderly patients. In also diabetes mellitus, one of the chronic diseases, therisk of morbidity and mortality is high due to COVID-19. Our case report states that there areimpairments in blood glucose regulation in the follow-up of patients with diabetes mellitushospitalized due to COVID-19 infection and that they should be dealt with, and the course ofCOVID-19 infection with poor prognosis

ÖĞRETMEN ADAYLARININ “ÖĞRETMENLİK MESLEĞİ” KAVRAMINA İLİŞKİN ALGILARININ BELİRLENMESİ: BİR METAFOR ANALİZİ ÇALIŞMASI

Bu araştırmanın amacı, öğretmen adaylarının öğretmenlik mesleği kavramıyla ilgili geliştirdikleri metaforları belirlemektir. Araştırmada nitel araştırma modeli kapsamında olgubilim deseni kullanılmıştır. Araştırmanın çalışma grubunu toplam 110 öğretmen adayı oluşturmuştur. Araştırmada öğretmen adaylarının öğretmenlik mesleği kavramıyla ilgili metaforları yarı yapılandırılmış bir formla belirlenmiştir. Bu formda öğretmen adaylarından "öğretmenlik mesleği ....... gibidir/benzer; Çünkü......." cümlesini tamamlamaları istenmiştir. Verilerin analizinde içerik analizi tekniği kullanılmıştır.Araştırmada, öğretmen adayları öğretmenlik mesleği kavramıyla ilgili toplam 50 çeşit metafor geliştirmişlerdir. Geliştirilen bu metaforlar toplam 7 farklı kategoride toplanmıştır. Bu kategoriler en fazla metafor kapsamaları bakımından "biçimlendirici özelliği açısından öğretmenlik mesleği, değeri açısından öğretmenlik mesleği, yol gösterici özelliği açısından öğretmenlik mesleği, fedakarlık açısından öğretmenlik mesleği, bilgi kaynağı olma özelliği açısından öğretmenlik mesleği, gönüllülük açısından öğretmenlik mesleği ve model olma özelliği açısından öğretmenlik mesleği" olarak sıralanmaktadır. Öğretmenlik mesleği kavramı için frekansı yüksek olan canlı metaforlar geliştirilmiş olmasına rağmen, genellikle cansız metaforların geliştirildiği belirlenmiştir. Diğer kategoriler incelendiğinde ise; bilgi kaynağı olma özelliği açısından öğretmenlik mesleği, yol gösterici özelliği açısından öğretmenlik mesleği, model olma özelliği açısından öğretmenlik mesleği, gönüllülük açısından öğretmenlik mesleği ve fedakarlık açısından öğretmenlik mesleği kategorilerinde de öğretmenlik mesleğinin bir meslek olarak taşıması gereken niteliklere yönelik vurguları içermektedir. Ancak öğretmen adaylarının öğretmenlik mesleğine yönelik olarak bu kadar olumlu bakış açılarını belirtmelerine rağmen, "değeri açısından öğretmenlik mesleği" kategorisinde ise temel vurgu olarak; öğretmenlik mesleğinin gereken değeri göremediği yönünde görüşler belirtilmiştirThe aim of this research is to determine metaphors developed by teacher candidates about the concept of teaching profession. In the research phenomenological method has been used in the scope of qualitative research method. Teacher candidates’ metaphors are determined via semistructured form. In this form, teacher candidates asked to fill in the blanks of sentences such as “teaching profession is like.......”.Because......”. Content analysis technique has been used in data analysis process. In the research, teacher candidates have developed 50 metaphors at total about concept of “teaching profession”. Developed metaphors combined in 7 different categories. These categories ranked based on how much they contain metaphors; categories named such as "teaching profession in terms of formative characteristic, teaching profession in terms of value, teaching profession in terms of guiding feature, teaching profession in terms of sacrifice, teaching profession in terms of being a knowledge source, teaching profession in terms of teaching profession in terms of volunteering, teaching profession in terms of being a model". Even live metaphors with high frequency have been developed regarding the teaching profession; generally lifeless metaphors have been created. If we look at the other categories of teaching profession according to its being source of knowledge feature, teaching profession according to its being directive and model, teaching profession according to its voluntarism feature and teaching profession according to its devotion feature has been developed in order to highlight the profession’s required specialties. Although teacher candidates have been stated such positive image and perspective of teaching profession, if we look at the feature of t high value, it is evaluated as at low level, means that teaching profession has not been valued properl

Resilience for Fire Safety

The paradigm shift of disaster management studies from reactive strategies with rapid mobilization of resources and disaster responses to proactive strategies with hazard mitigation and vulnerability reduction have been reflecting the fire hazard researches. That paradigm shift directs fire safety management studies to the “concept of resilience,” which focuses on the capacity of human and physical systems to respond to extreme events. Despite its importance, fire safety issues are mostly considered as individual elements disregarding their possible cascading effects and global impacts on systems functionality. As a consequence, there are a limited number of researches adapted fire hazard and resilience concepts, except the ones based on structural resilience measurements interrelated with the earthquake hazard analyses data. In this study, a literature review of fire safety doctoral dissertations based on sixteen fire themes, including resilience studies, were analyzed according to their context, policies, parameters, methodologies, and stakeholders. The discussions specific to fire resilience themes showed that, although fire safety is a wellknown hazard, the researches remain in building scale due to low risk of fire events. However, in contrast to low probabilities, fire, and fire following earthquake hazard losses have high consequences. Besides, the disaster management in urban scale requires a complex structure of information about a building’s function, the design objectives, hazards, the dimensional, material, economic and site constraints, and regulatory expectations. Due to the complexity of integrating these multiple-input parameters with fire risk assessment, a resilience-based approach is needed to focus on enhancing resilience for both known and predictive uncertainties. This research analyses the current themes and methodologies of fire resilience and suggests a framework for systematic discussions of future fire hazards