scholarly journals A Contextual Scientometric Analysis of Indonesian Biomedicine : Mapping The Potential of Basic Research Downstreaming

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Ria Hardiyati ◽  
Irene Muflikh Nadhiroh ◽  
Tri Handayani ◽  
V.M. Mesnan Silalahi ◽  
Rizka Rahmaida ◽  
...  
Keyword(s):  
Quantitative Research ◽  
Basic Research ◽  
Research Topic ◽  
Scientometric Analysis ◽  
Research Publication ◽  
Text Data ◽  
Domain Experts ◽  
Research Publications ◽  
Using Data ◽  
Research Stage

<p>A content analysis on Indonesian biomedical research publication is conducted based on text mining. The research is necessary to obtain a rich contextual overview of the development of biomedicine research in Indonesia for example in the context of the downstreaming potential of research publications. The results of text data processing using a computational model and bibliometric analysis will provide a richer contextual picture as a proxy to reveal the potential for downstreaming of basic research. Quantitative research is conducted using data sources from Scopus, Google Scholar and universities’s and scientific journal’s repository to analyse the performance at the meso and macro level. Interpretation of the results is qualitatively carried out within a FGD session with domain experts. An attempt is carried out to see the trajectory of series of research publications from basic research stage down to clinical trials. This effort results in an ability to show the research trajectory in anti-malaria drug development from the basic research which evolves to the clinical trial. This study reveals many discontinuities in the trajectory a research topic from basic research to downstreaming in drugs development in Indonesia.</p>

scholarly journals Analisis Pengaruh Harga dan Promosi Terhadap Tingkat Penjualan Pizza Hut di era Covid-19

2021 ◽  
Vol 21 (2) ◽  
pp. 74-78
Author(s):  
Juliana Juliana ◽  
Amelda Pramezwary ◽  
Catherine Catherine ◽  
Hermawan Dwitama ◽  
Indah Sentia
Keyword(s):  
Price Competition ◽  
Quantitative Research ◽  
Linear Regression Analysis ◽  
Basic Research ◽  
Multiple Linear Regression Analysis ◽  
Promotion Strategy ◽  
Food And Beverage ◽  
Research Gap ◽  
Using Data ◽  
Pizza Hut

Abstract-  This study aims to analyze the effect of price and promotion on the sales level of Pizza Hut in the Covid-19 era. This research is a basic research to fill the research gap in sales level studies. two hypotheses and tested using data collected from 150 respondents of pizza hut customers. This research is driven by the Covid-19 pandemic which has brought a downturn for companies in marketing products produced by these companies, especially companies in the field of food and beverage. Researchers use quantitative research with multiple linear regression analysis techniques to analyze how much influence the independent variables interact with. dependent variable. Researchers found that the variable that had the most significant influence on Pizza Hut sales in the Covid-19 era was promotion. The decline in Pizza Hut prices did have an effect on the increase in Pizza Hut sales but the effect was not too significant. This is due to the intense price competition to attract consumers' attention in this pandemic. Thus, it is evident that the Pizza Hut promotion strategy by attracting public sympathy can increase sales in the Covid-19 era.Keywords: price, promotion, sales level, covid-19

scholarly journals Bipartite Network of Interest (BNOI): Extending Co-Word Network with Interest of Researchers Using Sensor Data and Corresponding Applications as an Example

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1668
Author(s):  
Zongming Dai ◽  
Kai Hu ◽  
Jie Xie ◽  
Shengyu Shen ◽  
Jie Zheng ◽  
...  
Keyword(s):  
Feature Fusion ◽  
Extraction Methods ◽  
Knowledge Network ◽  
Sensor Data ◽  
Support Vector ◽  
Bipartite Network ◽  
Classification Models ◽  
Text Data ◽  
Domain Experts ◽  
Problems And Solutions

Traditional co-word networks do not discriminate keywords of researcher interest from general keywords. Co-word networks are therefore often too general to provide knowledge if interest to domain experts. Inspired by the recent work that uses an automatic method to identify the questions of interest to researchers like “problems” and “solutions”, we try to answer a similar question “what sensors can be used for what kind of applications”, which is great interest in sensor- related fields. By generalizing the specific questions as “questions of interest”, we built a knowledge network considering researcher interest, called bipartite network of interest (BNOI). Different from a co-word approaches using accurate keywords from a list, BNOI uses classification models to find possible entities of interest. A total of nine feature extraction methods including N-grams, Word2Vec, BERT, etc. were used to extract features to train the classification models, including naïve Bayes (NB), support vector machines (SVM) and logistic regression (LR). In addition, a multi-feature fusion strategy and a voting principle (VP) method are applied to assemble the capability of the features and the classification models. Using the abstract text data of 350 remote sensing articles, features are extracted and the models trained. The experiment results show that after removing the biased words and using the ten-fold cross-validation method, the F-measure of “sensors” and “applications” are 93.2% and 85.5%, respectively. It is thus demonstrated that researcher questions of interest can be better answered by the constructed BNOI based on classification results, comparedwith the traditional co-word network approach.

Evolution of top management’s understanding of product quality in Eastern Europe since the end of communism

2017 ◽  
Vol 29 (1) ◽  
pp. 82-100
Author(s):  
Svetoslav Georgiev ◽  
Emil Georgiev
Keyword(s):  
Eastern Europe ◽  
Product Quality ◽  
Quantitative Research ◽  
Business Performance ◽  
Research Approach ◽  
Senior Managers ◽  
Content Type ◽  
Doing Business ◽  
Using Data ◽  
The Impact

Purpose The purpose of this paper is to analyse the evolution of top management’s understanding of product quality in Bulgaria since the end of communism. The study examines three specific areas: top management’s understanding of the term “quality”; top management’s understanding of the relationship between quality and business performance; and top management’s understanding of the impact of job position on quality. Design/methodology/approach The paper relies on a quantitative research approach by using data from a survey of 186 companies in Bulgaria. Findings The paper suggests that senior managers in Bulgaria continue to base their understanding of “quality” on a single approach (*a characteristic of the communist era), with the product-based and the user-based approaches currently being the two most common ones. At the same time, surprisingly enough, this study claims that senior management in Bulgaria is currently well aware of the importance of quality as a dimension of firm’s competitiveness, and is also highly conscious of its roles’ impact on product quality. Research limitations/implications The results of this study are exclusively based on the case of Bulgaria and must be treated with caution in the case of other former communist states from the Central and Eastern Europe (CEE) region. Practical implications This paper has relevance for both managers and companies doing business in Eastern Europe. Originality/value This is the first paper to provide detailed analysis of the evolution of the understanding of “product quality” in CEE since the end of communism. Moreover, this paper applies, for the first time, Garvin’s five approaches to defining quality within a practical context.

Genetic Diversity Research Publication Output in India: A Scientometric Analysis

2018 ◽  
Vol 8 (3) ◽  
pp. 98-102
Author(s):  
Jyothi G. Nair ◽  
S. Raja
Keyword(s):  
Genetic Diversity ◽  
Publication Output ◽  
Scientometric Analysis ◽  
Research Publication ◽  
Citation Pattern ◽  
Authorship Pattern ◽  
Collaboration Pattern ◽  
Single Authorship ◽  
Institutional Status ◽  
Diversity Research

This paper attempts a scientometric analysis of literature in the field of genetic diversity in India over 5 years (2013-2017). A total of 1417 records and 5960 unique authors are identified. The study characterizes growth output, Authorship pattern, Collaboration pattern, Citation pattern, institutional status etc. Many of the publications have received worldwide attention of various researchers, policymakers, and planners. The number of papers was maximum in the year 2016. Average publication per year is 283. Multi-authored papers dominated over single authorship. The study was analysed by using HistCite software.

scholarly journals Child Protection in the Event of Parents’ Divorce – Conceptualization of the Subject of the Study

2019 ◽  
Vol 42 (1) ◽  
pp. 197-204
Author(s):  
Małgorzata Turczyk
Keyword(s):  
Child Protection ◽  
Basic Research ◽  
Children's Rights ◽  
Research Topic ◽  
Children’S Rights ◽  
Childhood Studies ◽  
Current Trends ◽  
Research Concept ◽  
The Subject ◽  
Constructing Knowledge

SummaryThe article is preconceptual in its nature, as it is an introduction to a planned research project in the area of pedagogy and law. The author describes the research in current trends in modern childhood studies, choosing the protection of children’s rights in the event of their parents’ separation as the basic research category. This category will be analyzed in ontological, epistemological and methodological dimensions. In view of the growing scale of family breakdowns, it becomes justified to ask a question about the way of experiencing, understanding and constructing knowledge about the subject of pedagogical and legal interactions – the child themself. Building knowledge about a child whose parents separate is not only intended to expand and build interdisciplinary theoretical knowledge, but also to provide a basis for designing adequate tools and activities to protect the rights of a child experiencing their parents’ separation. This article provides an outline of a research concept aimed at protecting children’s rights. The article contains extensive justifications for the research topic and the framework of the methodological concept.

Writing for Quantitative Research Publication: A Brief Outline

2018 ◽  
Vol 50 (3) ◽  
pp. 107-109
Author(s):  
Maher M. El-Masri ◽  
Susan Fox-Wasylyshyn
Keyword(s):  
Quantitative Research ◽  
Research Publication

HUBUNGAN ANTARA RESILIENSI DENGAN PERAN IBU PADA ANAK PENYINTAS BENCANA DI HUNTARA LERE

2020 ◽  
Vol 1 (1) ◽  
pp. 31-50
Author(s):  
Gustina Gustina ◽  
Nurdin Nurdin ◽  
Yulian Sri Lestari
Keyword(s):  
Data Collection ◽  
Quantitative Research ◽  
Quantitative Research Methods ◽  
Child Survivors ◽  
Disaster Victims ◽  
Need Support ◽  
Disaster Survivors ◽  
Using Data ◽  
Data Collection Technique ◽  
Age Range

Natural disasters challenge regions, environments, and communities to regain control of their lives and rise to face their future. To turn up from pressure or be resilient, disaster victims need support from their families and their environment. Disaster victims need help from their families and their environment to rise again from pressure or be resilient. Based on this, there is an assumption that mothers can increase survivors' resilience to keep growing from stress. The method used in this research is quantitative research methods, using data collection techniques through questionnaires or questionnaires as a data collection technique. The research was conducted at Huntara Lere. The population in this study were child survivors of the disaster in Lere Huntara with the criteria for children in the age range 7-12 years and lived in Lere Village, West Palu District, Palu City. The collected data were then analyzed using validity, reliability, and assumption tests using the SPSS 16 assisted technique. This study shows no significant correlation between resilience and the role of mothers in child disaster survivors in Huntara Lere. Another finding from this study is that, in general, child survivors in Huntara Lere were not cared for by their parents.

Mining Newsworthy Events in the Traffic Accident Domain from Chinese Microblog

2019 ◽  
Vol 18 (02) ◽  
pp. 717-742 ◽  
Author(s):  
Xiangling Fu ◽  
Jintae Lee ◽  
Chenwei Yan ◽  
Li Gao
Keyword(s):  
Text Mining ◽  
Large Volume ◽  
News Media ◽  
Traffic Accident ◽  
Computable Model ◽  
Valuable Resource ◽  
Domain Experts ◽  
Fast Pace ◽  
News Events ◽  
Using Data

Microblog can provide a valuable resource for journalists as it captures potential newsworthy events as they occur, including ones occurring remotely. Given the large volume and the fast pace of typical microblog, it is impractical to monitor all microblog postings for potential news events. Therefore, it would be useful if a method exists that uses text mining to help identify such events. For this endeavor, we need a good model of newsworthiness that furthermore can be operationalized with text-mining techniques. This study examines the feasibility and usefulness of such a model by first adopting the Shoemaker model of newsworthiness, one of the most comprehensive and accepted among such models; refining it based on a set of extensive interviews with domain experts and users in the context of news media in China; operationalizing it with a set of text-analytic measures in the domain of traffic accident; and testing its feasibility and validity using data from Weibo, the largest microblog site in China. As such, we believe that this study makes important theoretical and methodological contributions by developing and testing the most comprehensive and computable model of newsworthiness to date. We also point out its limitations and the areas that need further research.

scholarly journals A scientometric analysis of research publications on male infertility and assisted reproductive technology

Andrologia ◽  
2020 ◽  
Author(s):  
Ashok Agarwal ◽  
Manesh Kumar Panner Selvam ◽  
Saradha Baskaran ◽  
Renata Finelli ◽  
Kristian Leisegang ◽  
...  
Keyword(s):  
Male Infertility ◽  
Assisted Reproductive Technology ◽  
Reproductive Technology ◽  
Scientometric Analysis ◽  
Research Publications

scholarly journals An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data

2018 ◽  
Vol 12 (9) ◽  
pp. 190
Author(s):  
Osama Mohammad Rababah ◽  
Esra F. Alzaghoul ◽  
Hussam N. Fakhouri
Keyword(s):  
Sentiment Analysis ◽  
Data Visualization ◽  
Full Text ◽  
Visual Representation ◽  
The Other ◽  
The Internet ◽  
Original Text ◽  
Text Data ◽  
Data Summarization ◽  
Using Data

With the rapid increase in the size of the data over the internet there is a need for new studies for text data summarization and representation; rather than storing the full text or reading the full text we can store and read a summary that represent the original text. Furthermore, there is a need also to represent the summarized text with visual representation; one picture worth ten thousandwords. In this paper we propose an approach for visual representation of the summarized text;visual resources give creative control over how message is perceived andprovide a faster way to know what where the text about.This approach were implemented and tested on a sample of two datasets one of 50 texts and the other dataset of 80 positive and negative movie comments, the evaluation has been done visually and the percent of success cases has been reported, the precision and recall has been calculated.

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