Bence Mátyás graduated at V. István Informatics and Business High School in Hungary in 2008. He earned a BSc diploma in Agricultural Information Technology and Policy Administration Engineering from the University of Debrecen in 2011. Following this, he completed a Master course in Environmental Agricultural Engineering at University of Debrecen, graduating in 2013. During the last year of these studies, he earned a research scholarship and spent 4 months at Chiba University in Japan. Upon his return, he earned a full PhD scholarship at the University of Debrecen. He holds accredited certifications in DNA based species identification and rapid bacteriological examination. He earned a PhD diploma for his IT development sooner than he completed the doctoral school. The title of the dissertation is „A novel database management logic designed for some important production stages of farm to table”.
Problem we identified: The use of sensor networks with long-term monitoring capabilities such as structural health monitoring (SHM) has become a part of the everyday routine in ageing societies. For that matter the huge amount of data coming from these solutions require novel bigdata analyses strategies. Not only because the continuously increasing records in the database pose processing challenges but also with the appearance of a new device that generates new types of attributes, the data storage structure changes. A significant amount time is spent by bigdata experts developing a common structure for the data coming from different sources and not on the analysing processes themselves. Modern database management systems fall into two broad classes: Relational Database Management System (RDBMS) and Not Only Structured Query Language (NoSQL). NoSQL models give room for bigdata storage and management but with the introduction of a new type of entity-attribute, a new application becomes mandatory. Maintaining a NoSQL model based database requires continuous system development. Solution we provide: We designed a database anagement logic that provides an opportunity to store and interpret each data in only one data table (like in NoSQL databases) while the data handling processes can be completed by SQL commands. This logic contributes to the interoperability between the relational and non-relational systems where converting application usage is unnecessary. Using a coding mechanism developed by us, each attribute needs only one index for indexing in the database. Using this logic the bigdata management become possible without changing the data storage structure when introducing new entity-attributes.
Kannan Sharma is a high school student from St. Mark’s School of Texas in Dallas, Texas, USA. He is a member of the Cum Laude society (honors program) and he is an eagle scout. He has been a painter for the past twelve years, and he loves to help the geriatric population in Dallas. In order to combine his two passions: art and helping the elderly, he created the program identified above in the abstract. He spent weeks organizing and meeting with the nursing home and identified the best way to use art in order to help geriatric patients with medical problems.
Introduction: Studies suggest that more that 40% of nursing home residents feel the effects of depression (1). Art has been identified as a solution to improve quality of life (2-,5). However, studies suggesting that the act of drawing improves quality of life are lacking. A drawing art program was developed to determine if drawing art improves the quality of life (QOL) in nursing-home residents. \r\nMethods: As part of the program, nursing-home residents were taught to draw simple and complex objects, identify depth and dimension, and use colors appropriately. In order to track students’ progress, a survey, asking residents to rank changes in coordination, enjoyment, relaxation, and willingness to come to class, was created and distributed after classes. They would rank these changes in a 1 to 5 scale: 5 being much improvement, 3 being no change, and 1 being worsening developments. \r\nResults: After a few weeks, a trend was seen in 5 students (n=5). To the question: “Do you feel happier after art,” 40% (n=2) of students responded with a 5, and 60% (n=3) responded with a 4. To the question: “Do you feel more relaxed after art,” 40% (n=2) of students responded with a 5, and 60% (n=3) responded with a 4. To the question: “Has your hand coordination improved,” 40% (n=2) of students responded with a 4, and 60% (n=3) responded with a 3. To the question, “Do you look forward to art class,” 100% (n=5) responded with a 5. \r\nDiscussion: This observation indicates that there is a positive correlation between drawing art intervention and improvement in overall health in elderly people. It shows that there is a need for proper research to further address this subject. Lastly, it indicated that nursing homes should implement such simple art programs to help more senior citizens across the country. \r\n