No abstract

No abstract

University colleges provide cafeteria for student living on campus to purchase foods. These cafeteria open on daily basis, located in separate building and usually within a walking distance from college. A college cafeteria system often has a virtual monopoly on the students due to an isolated location and less competition for on-campus food. There is situation where students must wait for a long time to purchase pre-cooked or ordered foods. The situation will become worse when students are hungry at night and the cafeteria is already closed. In addition most of the cafeterias are closed during semester break since only few students stay at the college. Alternatively, purchasing foods via vending machines are adaptable and acceptable since it operates twenty-four hours seven days a week. Vending machine can provide variety of foods and drinks with affordable price range. This study aims to investigate the purchasing experience among university’s residential college students by using vending machine. The result will help vending machine operators develop and customize their own machines to better serve the customers’ needs.

Medical coding is a subject in which students must assign proper ICD-10 codes to patients’ diagnoses as reported in the coding exercises. However, due to students’ inadequate knowledge, incorrect codes are assigned to the cases, leading to coding errors. Thus, creating Medical Coding Simulation (MedCoS) is to help students strengthen their motor and technical abilities in challenging scenarios. The purpose of this study is to predict students’ intention to use MedCoS based on attitudes (AT), subjective norms (SN), and perceived behavioral control (PBC). To meet the objective, SPSS was used to conduct descriptive, reliability, and multiple regression analyses. This study includes students in Semester five and six who have attended both courses. Majority respondents were female (89.9%, n=116) and aged between 23 and 24 years old (90.2%, n=102). Results showed that attitudes and perceived behavioral predicted the intention to use MedCos among the students. The significant outcome allows MedCoS to plan the next stage of the application’s development with the goal of achieving the desired improvement in course performance.

Breast cancer is the most prevalent type of cancer in women and has a significant economic impact worldwide. Consequently, there is a need to analyze the disease's research trend academically to determine the breast cancer publishing trend based on a certain period of its collection properties. Bibliometric analysis is used to examine the research trend in breast cancer care through time using various data. Several tools, including the PRISMA flow diagram, Microsoft Excel for frequency analysis, Harzing's Publish or Perish for citation metrics and other pertinent analyses, and VOSviewer for image visualization and bibliometric networks, were used to study this article. Using the TITLE search strategy and the Scopus database, 3,532 articles were located. It was discovered that the trends in research publications rose steadily from one year to the next. Between 1932 and 2021, 3,532 publications will be produced with a total of 61,274 citations, which breaks down to 688.47 citations per year, 17.35 citations per cited paper, and 4.02 citations per author. The United States, Italy, and the United Kingdom have produced the most co-authored works in this discipline. Even though the annual incidence rate of breast cancer remains high, these findings appear promising for determining the most effective treatments, procedures, and management strategies. The guideline standard requires further attention at a higher level.