• Title/Summary/Keyword: Informatics

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Innovative Technologies in Higher School Practice

  • Popovych, Oksana;Makhynia, Nataliia;Pavlyuk, Bohdan;Vytrykhovska, Oksana;Miroshnichenko, Valentina;Veremijenko, Vadym;Horvat, Marianna
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.248-254
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    • 2022
  • Educational innovations are first created, improved or applied educational, didactic, educative, and managerial systems and their components that significantly improve the results of educational activities. The development of pedagogical technology in the global educational space is conventionally divided into three stages. The role of innovative technologies in Higher School practice is substantiated. Factors of effectiveness of the educational process are highlighted. Technology is defined as a phenomenon and its importance is emphasized, it is indicated that it is a component of human history, a form of expression of intelligence focused on solving important problems of being, a synthesis of the mind and human abilities. The most frequently used technologies in practice are classified. Among the priority educational innovations in higher education institutions, the following are highlighted. Introduction of modular training and a rating system for knowledge control (credit-modular system) into the educational process; distance learning system; computerization of libraries using electronic catalog programs and the creation of a fund of electronic educational and methodological materials; electronic system for managing the activities of an educational institution and the educational process. In the educational process, various innovative pedagogical methods are successfully used, the basis of which is interactivity and maximum proximity to the real professional activity of the future specialist. There are simulation technologies (game and discussion forms of organization); technology "case method" (maximum proximity to reality); video training methodology (maximum proximity to reality); computer modeling; interactive technologies; technologies of collective and group training; situational modeling technologies; technologies for working out discussion issues; project technology; Information Technologies; technologies of differentiated training; text-centric training technology and others.

Innovative Technology of Teaching Moodle in Higher Pedagogical Education: from Theory to Pactice

  • Iryna, Rodionova;Serhii, Petrenko;Nataliia, Hoha;Kushevska, Natalia;Tetiana, Siroshtan
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.153-162
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    • 2022
  • Relevance. Innovative activities in education should be aimed at ensuring the comprehensive development of the individual and professional development of students. The main idea of modular technology is that the student should learn by himself, and the teacher manages his learning activities. The advantage of modular technology is the ability of the teacher to design the study of the material in the most interesting and accessible forms for this part of the study group and at the same time achieve the best learning results. Innovative Moodle technology. it is gaining popularity every day, significantly expanding the space of teaching and learning, allowing students to study inter-faculty university programs in depth. The purpose of this study is to assess the quality of implementation of the e-learning system Moodle. The study was conducted at the South Ukrainian National Pedagogical University named after K. D. Ushinsky in order to identify barriers to the effective implementation of innovative distance learning technologies Moodle and introduce a new model that will have a positive impact on the development of e-learning. Methodology. The paper used a combination of theoretical and empirical research methods. These include: scientific analysis of sources on this issue, which allowed us to formulate the initial provisions of the study; analysis of the results of students 'educational activities; pedagogical experiment; questionnaires; monitoring of students' activities in practical classes. Results. This article evaluates the implementation of the principles of distance learning in the process of teaching and learning at the University in terms of quality. The experiment involved 1,250 students studying at the South Ukrainian National Pedagogical University named after K. D. Ushinsky. The survey helped to identify the main barriers to the effective implementation of modern distance learning technologies in the educational process of the University: the lack of readiness of teachers and parents, the lack of necessary skills in applying computer systems of online learning, the inability to interact with the teaching staff and teachers, the lack of a sufficient number of academic consultants online. In addition, internal problems are investigated: limited resources, unevenly distributed marketing advantages, inappropriate administrative structure, and lack of innovative physical capabilities. The article allows us to solve these problems by gradually implementing a distance learning model that is suitable for any university, regardless of its specialization. The Moodle-based e-learning system proposed in this paper was designed to eliminate the identified barriers. Models for implementing distance learning in the learning process were built according to the CAPDM methodology, which helps universities and other educational service providers develop and manage world-class online distance learning programs. Prospects for further research focus on evaluating students' knowledge and abilities over the next six months after the introduction of the proposed Moodle-based program.

A Study on Personalized Emotion Recognition in Forest Healing Space - Focus on Subjective Qualitative Analysis and Bio-signal Measurement - (산림 치유 공간에서의 개인 감정 인지 효과에 관한 연구)

  • Lee, Yang-Woo;Seo, Yong-Mo;Lee, Jung-Nyun;Whang, Min-Cheol
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.2
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    • pp.57-65
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    • 2019
  • This study is a scientific approach to psychological factors such as emotional stability among various effects of forest resources. In order to carry out this study, the experiment was conducted on the subjects by setting the forest healing space as various spaces. The subjects who participated in this experiment were the students in their twenties and the average age was 22±1.25 years. The subjects were assessed for emotional words through subjective sequence evaluation in different designated forest healing spot. In addition, the emotional states that they actually perceived were measured by measuring the bio-signals to their perceived emotions. BMP, SDNN, VLF, LF, HF, Amplitude, and PPI were used for the bio-signal reaction experiment applied to this study. The results of this experiment were measured by Friedman test and Wilcoxon test for statistical analysis. n this study, 'good', 'clear', and 'uncomfortable' words were found statistically significant at the spot of forest healing space for subjective emotional vocabulary. In addition, SDNN, HF and Amplitude were statistically significant in the results of quantitative bio-signal measurement at each spot in the forest healing space. Based on the results of this study, we can suggest the application direction and strategic utilization plan of forest healing spot and forest resource utilization field. This is not only a guide for the users who use the facility through the spatial facilities and physical requirements for the emotion based forest-healing, but also can be used as a personalized emotional space design aspect.

Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model

  • Mohd Fazeli Sazali;Syed Sharizman Syed Abdul Rahim;Ahmad Hazim Mohammad;Fairrul Kadir;Alvin Oliver Payus;Richard Avoi;Mohammad Saffree Jeffree;Azizan Omar;Mohd Yusof Ibrahim;Azman Atil;Nooralisa Mohd Tuah;Rahmat Dapari;Meryl Grace Lansing;Ahmad Asyraf Abdul Rahim;Zahir Izuan Azhar
    • Tuberculosis and Respiratory Diseases
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    • v.86 no.2
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    • pp.82-93
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    • 2023
  • Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.

Metagenomic analysis of viral genes integrated in whole genome sequencing data of Thai patients with Brugada syndrome

  • Suwalak Chitcharoen;Chureerat Phokaew;John Mauleekoonphairoj;Apichai Khongphatthanayothin;Boosamas Sutjaporn;Pharawee Wandee;Yong Poovorawan;Koonlawee Nademanee;Sunchai Payungporn
    • Genomics & Informatics
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    • v.20 no.4
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    • pp.44.1-44.13
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    • 2022
  • Brugada syndrome (BS) is an autosomal dominant inheritance cardiac arrhythmia disorder associated with sudden death in young adults. Thailand has the highest prevalence of BS worldwide, and over 60% of patients with BS still have unclear disease etiology. Here, we performed a new viral metagenome analysis pipeline called VIRIN and validated it with whole genome sequencing (WGS) data of HeLa cell lines and hepatocellular carcinoma. Then the VIRIN pipeline was applied to identify viral integration positions from unmapped WGS data of Thai males, including 100 BS patients (case) and 100 controls. Even though the sample preparation had no viral enrichment step, we can identify several virus genes from our analysis pipeline. The predominance of human endogenous retrovirus K (HERV-K) viruses was found in both cases and controls by blastn and blastx analysis. This study is the first report on the full-length HERV-K assembled genomes in the Thai population. Furthermore, the HERV-K integration breakpoint positions were validated and compared between the case and control datasets. Interestingly, Brugada cases contained HERV-K integration breakpoints at promoters five times more often than controls. Overall, the highlight of this study is the BS-specific HERV-K breakpoint positions that were found at the gene coding region "NBPF11" (n = 9), "NBPF12" (n = 8) and long non-coding RNA (lncRNA) "PCAT14" (n = 4) region. The genes and the lncRNA have been reported to be associated with congenital heart and arterial diseases. These findings provide another aspect of the BS etiology associated with viral genome integrations within the human genome.

Autonomous Ship's Remote Operation Situation Occurrence Probability Estimation Model based on Navigation Areas (운항 해역별 자율운항선박 원격운항 상황 발생 확률 추산 시뮬레이션 모델)

  • Taewoong Hwang;Taemin Hwang;Dain Lee;Hyeinn Park;Ik-Hyun Youn
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.910-914
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    • 2023
  • With the technological innovation owing to the 4th industrial revolution, the maritime transportation is rapidly being developed with autonomous ships and systems. Particularly, autonomous ships will partially replace the manned ships and navigation among them remotely upon the degree of autonomy suggested by IMO. Accordingly, the remote operator and related research have increased as well. However, the data on the minimum required manpower for remote operators are lacking such as considering engage required situations and their co-occurrence probability. Therefore, this study proposes a simulation model that calculates the number of remote engage required situations by defining restricted water area and remote engage required situation as close-quarter situations based on accumulated trajectory data of actual ships. The findings are expected to be used as background materials to establish the appropriate manpower distribution of remote operators in remote operation centers.

Association of CAPN10 gene (rs3842570) polymorphism with the type 2 diabetes mellitus among the population of Noakhali region in Bangladesh: a case-control study

  • Munia Sultana;Md. Mafizul Islam;Md. Murad Hossain;Md. Anisur Rahman;Shuvo Chandra Das;Dhirendra Nath Barman;Farhana Siddiqi Mitu;Shipan Das Gupta
    • Genomics & Informatics
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    • v.21 no.3
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    • pp.33.1-33.11
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    • 2023
  • Type 2 diabetes mellitus (T2DM) is a multifactorial, polygenic, and metabolically complicated disease. A large number of genes are responsible for the biogenesis of T2DM and calpain10 (CAPN10) is one of them. The association of numerous CAPN10 genetic polymorphisms in the development of T2DM has been widely studied in different populations and noticed inconclusive results. The present study is an attempt to evaluate the plausible association of CAPN10 polymorphism SNP-19 (rs3842570) with T2DM and T2DM-related anthropometric and metabolic traits in the Noakhali region of Bangladesh. This case-control study included 202 T2DM patients and 75 healthy individuals from different places in Noakhali. A significant association (p < 0.05) of SNP-19 with T2DM in co-dominant 2R/3R vs. 3R/3R (odds ratio [OR], 2.7; p=0.0014) and dominant (2R/3R) + (2R/2R) vs. 3R/3R (OR, 2.47; p=0.0011) genetic models was observed. High-risk allele 2R also showed a significant association with T2DM in the allelic model (OR, 1.67; p=0.0109). The genotypic frequency of SNP-19 variants showed consistency with Hardy-Weinberg equilibrium (p > 0.05). Additionally, SNP-19 genetic variants showed potential associations with the anthropometric and metabolic traits of T2DM patients in terms of body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, and triglycerides. Our approach identifies the 2R/3R genotype of SNP-19 as a significant risk factor for biogenesis of T2DM in the Noakhali population. Furthermore, a large-scale study could be instrumental to correlate this finding in overall Bangladeshi population.

Research Trends in Record Management Using Unstructured Text Data Analysis (비정형 텍스트 데이터 분석을 활용한 기록관리 분야 연구동향)

  • Deokyong Hong;Junseok Heo
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.4
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    • pp.73-89
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    • 2023
  • This study aims to analyze the frequency of keywords used in Korean abstracts, which are unstructured text data in the domestic record management research field, using text mining techniques to identify domestic record management research trends through distance analysis between keywords. To this end, 1,157 keywords of 77,578 journals were visualized by extracting 1,157 articles from 7 journal types (28 types) searched by major category (complex study) and middle category (literature informatics) from the institutional statistics (registered site, candidate site) of the Korean Citation Index (KCI). Analysis of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Scattertext using Word2vec was performed. As a result of the analysis, first, it was confirmed that keywords such as "record management" (889 times), "analysis" (888 times), "archive" (742 times), "record" (562 times), and "utilization" (449 times) were treated as significant topics by researchers. Second, Word2vec analysis generated vector representations between keywords, and similarity distances were investigated and visualized using t-SNE and Scattertext. In the visualization results, the research area for record management was divided into two groups, with keywords such as "archiving," "national record management," "standardization," "official documents," and "record management systems" occurring frequently in the first group (past). On the other hand, keywords such as "community," "data," "record information service," "online," and "digital archives" in the second group (current) were garnering substantial focus.

Ovarian potential of Cameroonian Zebu cattle (Bos indicus) slaughtered in Etoudi - Yaoundé

  • Nsiyapnze Katte Yato Katte;Tchoffo Herve;Azafack Kana Dorice;Chongsi Margaret Mary Momo;Ngoula Ferdinand
    • Journal of Animal Reproduction and Biotechnology
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    • v.38 no.4
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    • pp.236-246
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    • 2023
  • Background: This study helps to evaluate the Ovarian potential of Cameroonian Zebu cattle (Bos indicus) slaughtered in Etoudi - Yaoundé for implementing Assisted Reproductive Techniques (ARTs). The aim was to enhance the productivity of the cattle sub-sector in Cameroon while conserving local genetic resources. Methods: A total of 144 cows, including 94 cycled cows and 50 pregnant cows, were included in the study. Live weights were determined by measuring the thoracic perimeter of each cow using a Rondo measuring tape. Age was determined postmortem through examination of dentition and horns, while the uterus and ovaries were removed, weighed, and classified based on physiological status (pregnant or nonpregnant). Follicles were counted, and their diameters were measured and categorized into small (Ø < 3 mm), medium (Ø 3-8 mm), and large (Ø > 8 mm). Results: The results revealed an average follicular population of 32.02 ± 9.31 per cow, with 22.43 ± 8.45 small follicles, 8.42 ± 3.87 medium follicles, and 0.76 ± 0.34 large follicles. The weight of the right ovary was significantly higher than that of the left ovary (p < 0.05), and cows aged 6 to 9 years exhibited a higher number of follicles compared to other age groups. Cows with medium (BCS = 3) and large (BCS = 4-5) body reserves had the heaviest ovaries. Additionally, pregnant cows had heavier uteri compared to non-pregnant cows, and cows with a body condition score of 3 or higher had higher uterine weights than lean cows (BCS = 1-2). Conclusions: This study demonstrates that age, body condition score, and pregnancy status influence ovarian weight. Body Condition Score serves as a reliable indicator of cow nutritional status, and cows with BCS of 3-5 are excellent candidates for in vitro production of embryos.

The Effect of Online Multiple Channel Marketing by Device Type (디바이스 유형을 고려한 온라인 멀티 채널 마케팅 효과)

  • Hajung Shin;Kihwan Nam
    • Information Systems Review
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    • v.20 no.4
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    • pp.59-78
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    • 2018
  • With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.