Clinical decision support systems are computer systems that help decision-makers make effective and efficient decisions in the diagnosis and treatment of diseases, patient care, and health institution management. In this study, descriptive and bibliometric analyses were carried out of studies on clinical decision support systems conducted between 2016 and 2021 in journals included in the Web of Science database. In the first stage, the distribution of the articles was determined according to the publication year, country, institution, journal and citation numbers within the scope of descriptive analysis. In the second stage, within the scope of bibliometric analysis, co-author-institution, co-citation-author, cocitation-country and common keyword analysis of the articles were made. As a result of the research, 8052 articles on clinical decision support systems were reached. It was observed that the country with the most studies on this subject are the United States and the institution is Harvard University. It was seen that the journal with the highest number of articles was PLOS ONE. In addition, co-citations, institutional and country collaborations between authors are presented with visual maps. The purpose of this study is to present the studies on clinical decision support systems in a systematic framework and to provide a broad perspective to the researchers and field experts working on this subject.

and Trade is a specialized academic research institute representing Inha University and Inha Foundation in Korea. The institute aims to become a representative institute in Northeast Asia in the research of logistics and trade.

Parallel with the development of digital technologies and internet usage cybercrime and threats have also increased. Although generation Z, who were born digital natives, uses digital technologies more than their teachers and parents, they do not have the same experience about cyber threats and negativities they may encounter. In the study, digital literacy and information security awareness levels of secondary school students who live in Gaziantep and Kilis provinces in TRC1 region were investigated. In addition, information security awareness of the students about to the city, gender, class level, internet and social media usage times was examined in detail. As a result of the research, it was determined that there is a positive relationship between the digital literacy levels of the students and their awareness of information security. The results showed that the information security awareness of students who use the internet for 7 hours or more per day is significantly higher than the others. On the other hand, it was observed that the usage time of social media did not make a significant difference in information security awareness levels students. In addition, it was understood that male students had a higher awareness level about information security than female students.

Siparişe üretim yapan firmalarda ürünlerin teslim tarihinin belirlenmesi, firmanın karlılığı ve müşteri memnuniyeti açısından oldukça hayati öneme sahiptir. Çünkü, müşteriler bir siparişi onaylarken hem ürünün fiyatından hem de teslim tarihinden memnun olmalıdır. Erken verilecek teslim tarihleri üretim programında yığılmalara neden olabilir ve geç teslim tarihleri sipariş ve müşteri kaybına sebep olmaktadır. Bu çalışmada, siparişe üretim ortamı için teslim tarihi problemine getirilen çözüm önerileri araştırılmıştır. Yapılan önceki araştırmalar kapsamlı bir şekilde incelenerek teslim tarihi problemine çözüm önerisi olacak inovatif bir doğrusal karar modeli önerilmiştir.

ChatGPT, an advanced language model based on artificial intelligence developed by the OpenAI, was released to internet users on November 30, 2022, and has attracted a great deal of attention. The feelings and thoughts of those who first experienced ChatGPT are valuable feedback for evaluating the success and positive and negative aspects of this technology. In this study, sentiment analysis of ChatGPT-themed tweets on Twitter was conducted to comprehensively evaluate the feelings and thoughts of users during the first two months following the announcement of ChatGPT. Approximately 788.000 English tweets were analyzed using the AFINN, Bing, and NRC sentiment dictionaries. The findings indicate that a large portion of the initial users of ChatGPT found the experience to be successful and was satisfied with ChatGPT. However, negative emotions such as fear and concern were also observed in some users. This study presents the most comprehensive sentiment analysis on ChatGPT. In future studies, specialized research can be conducted on the performance of ChatGPT in a specific field.