scholarly journals Uses and Practices of Computer Application in Demographic Research Regarding Nepal

Patan Pragya ◽  
2021 ◽  
Vol 9 (02) ◽  
pp. 56-67
Author(s):  
Govinda Prasad Adhikari
Keyword(s):  
United Nations ◽  
Data Management ◽  
Software Package ◽  
Quantitative Research ◽  
Computer Software ◽  
Research Process ◽  
World Health ◽  
Demographic Research ◽  
Software Packages ◽  
Data Editing

The computer was used to model, simulate and analyze social phenomena in the research. This study aims to analyze the uses of computer software in demographic research in Nepal. Information was gathered from secondary sources from reports of GOs and NGOs, manuals and guidelines of various software packages. Information was taken from the United Nations software package, World Health Organization, United Nations Population Funds and software package of the U.S. Census Bureau. Other’s information was taken from the National Housing and Census and Demographic Health Survey of Nepal. To achieve the objective of this study data are analysed in a descriptive method. This study has focused on computer software mainly SPSS, Mort Park, CS Pro, and STATA. The roles of computer have been helpful in quantitative research. Its role is also important when the research is on a large sample. The computer assists the researcher throughout different phases in the quantitative research process. The major five phases of the research process are the conceptual phase, design and planning phase, empirical phase, analytic phase, and dissemination phase. The use of computer software is helpful in data entry, data editing, and data management. The data analysis software is supportive of processing and manipulating information and analyzing the relationship between variables. Therefore, the use of computer software can save money, time, and resources in research. In the case of Nepal, the Integrated Microcomputer Processing System (IMPS) was in the census in 1991. STATA and SPSS software packages were used for data editing, management, and tabulation of the census results. Open Data Kit platform and CAPI was used for data collection and the CS Pro software was used for data management in various demographic studies in Nepal.

scholarly journals Ensuring Rigor in Qualitative Data Analysis

2018 ◽  
Vol 17 (1) ◽  
pp. 160940691878636 ◽  
Author(s):  
Carmel Maher ◽  
Mark Hadfield ◽  
Maggie Hutchings ◽  
Adam de Eyto
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Data Management ◽  
Qualitative Data ◽  
Design Research ◽  
Data Interpretation ◽  
Research Process ◽  
Qualitative Data Analysis ◽  
Analysis Process ◽  
Software Packages

Deep and insightful interactions with the data are a prerequisite for qualitative data interpretation, in particular, in the generation of grounded theory. The researcher must also employ imaginative insight as they attempt to make sense of the data and generate understanding and theory. Design research is also dependent upon the researchers’ creative interpretation of the data. To support the research process, designers surround themselves with data, both as a source of empirical information and inspiration to trigger imaginative insights. Constant interaction with the data is integral to design research methodology. This article explores a design researchers approach to qualitative data analysis, in particular, the use of traditional tools such as colored pens, paper, and sticky notes with the CAQDAS software, NVivo for analysis, and the associated implications for rigor. A design researchers’ approach which is grounded in a practice which maximizes researcher data interaction in a variety of learning modalities ensures the analysis process is rigorous and productive. Reflection on the authors’ research analysis process, combined with consultation with the literature, would suggest digital analysis software packages such as NVivo do not fully scaffold the analysis process. They do, however, provide excellent data management and retrieval facilities that support analysis and write-up. This research finds that coding using traditional tools such as colored pens, paper, and sticky notes supporting data analysis combined with digital software packages such as NVivo supporting data management offer a valid and tested analysis method for grounded theory generation. Insights developed from exploring a design researchers approach may benefit researchers from other disciplines engaged in qualitative analysis.

scholarly journals Applications of Computer Programming to Specific Horticultural Research Problems

HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 697d-697
Author(s):  
G. Lightner
Keyword(s):  
Data Collection ◽  
Computer Software ◽  
Research Process ◽  
Narrow Scope ◽  
Software Packages ◽  
Research Problems ◽  
Software Provider ◽  
And Storage ◽  
Research Equipment ◽  
Horticultural Research

The personal computer has become a standard research tool and is used in the research process from data collection to publication of results. The volume of computer software increases as personal computers proliferate. Most tasks are accomplished with off-the-shelf products available at any computer store. More specific needs are usually met with commercial software packages supplied by the company providing the research equipment or from a specialized software provider. However, there are specific research needs that are best fulfilled with a custom computer program. An interface between data collection and storage that is more comfortable to the user or a model developed with a narrow scope might be better served with software developed for that application. The development of software for the MARYBLYT fire blight system is presented.

scholarly journals New features of version 3 of the HYDRUS (2D/3D) computer software package

2018 ◽  
Vol 66 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Jiří Šimůnek ◽  
Miroslav Šejna ◽  
Martinus Th. van Genuchten
Keyword(s):  
Boundary Condition ◽  
Graphical User Interface ◽  
Software Package ◽  
Computer Software ◽  
Transport Processes ◽  
Flow And Transport ◽  
Software Packages ◽  
3D Software ◽  
Growth Features ◽  
Hydrus 1D

AbstractThe capabilities of the HYDRUS-1D and HYDRUS (2D/3D) software packages continuously expanded during the last two decades. Various new capabilities were added recently to both software packages, mostly by developing new standard add-on modules such as HPx, C-Ride, UnsatChem, Wetland, Fumigant, DualPerm, and Slope Stability. The new modules may be used to simulate flow and transport processes in one- and two-dimensional transport domains and are fully supported by the HYDRUS graphical user interface (GUI). Several nonstandard add-on modules, such as Overland, Isotope, and Centrifuge, have also been developed, but are not fully supported by the HYDRUS GUI. The objective of this manuscript is to describe several additional features of the upcoming Version 3 of HYDRUS (2D/3D), which was unveiled at a recent (March 2017) HYDRUS conference and workshop in Prague. The new features include a flexible reservoir boundary condition, expanded root growth features, and new graphical capabilities of the GUI. Mathematical descriptions of the new features are provided, as well as two examples illustrating applications of the reservoir boundary condition.

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

scholarly journals Active Aging in ASEAN Countries: Influences from Age-Friendly Environments, Lifestyles, and Socio-Demographic Factors

2021 ◽  
Vol 18 (16) ◽  
pp. 8290
Author(s):  
Sariyamon Tiraphat ◽  
Vijj Kasemsup ◽  
Doungjai Buntup ◽  
Murallitharan Munisamy ◽  
Thang Huu Nguyen ◽  
...  
Keyword(s):  
Older People ◽  
Quantitative Research ◽  
World Health ◽  
Cluster Sampling ◽  
Active Aging ◽  
Older Population ◽  
Cross Sectional ◽  
Middle Income ◽  
Multi Stage ◽  
Health Organization

Active aging is a challenging issue to promote older population health; still, there is little clarity on research investigating the determinants of active aging in developing countries. Therefore, this research aimed to examine the factors associated with the active aging of the older populations in ASEAN’s low and middle-income countries by focusing on Malaysia, Myanmar, Vietnam, and Thailand. The study is a cross-sectional quantitative research study using multi-stage cluster sampling to randomize the sample. The sample consists of 2031 older people aged 55 years and over, including 510 Thai, 537 Malaysian, 487 Myanmar, and 497 Vietnamese. We collected a quantitative questionnaire of age-friendly environmental scale and active aging scale based on the World Health Organization (WHO) concept. The predictors of active aging include age-friendly environments, lifestyles, and socioeconomic factors; the data are analyzed by using multiple logistic regression. After adjusting for other factors, we found that older people living in a community with higher levels of age-friendly environments are 5.52 times more active than those in lower levels of age-friendly environments. Moreover, the older population with healthy lifestyles such as good dietary intake and high physical activity will be 4.93 times more active than those with unhealthy lifestyles. Additionally, older adults with partners, higher education, and aged between 55 and 64 years will be 1.70, 2.61, and 1.63 times more active than those with separate/divorce/widow, primary education, and age at 75 years or higher, respectively. Our results contribute considerable evidence for ASEAN policy-making to promote active aging in this region.

Issues on Teaching Kinematics and Mechanism Design

1992 ◽  
Author(s):  
Arthur G. Erdman ◽  
Thomas R. Corrigan
Keyword(s):  
Mechanism Design ◽  
Software Package ◽  
Computer Software ◽  
Computer Solution ◽  
Design Problems ◽  
Introductory Course ◽  
Modern Computer ◽  
Computer Software Package ◽  
Historical Examination

Abstract The issues, problems and possible solutions involved in teaching a modern course on mechanisms and kinematics are addressed from the perspective of a professor and a student. A historical examination shows the value of modern (computer) solution of classical dilemmas. The structure of an introductory course is then presented, with comments on its educational attributes. The solution of several design problems with LINCAGES©, a computer software package, demonstrates the prowess of the modem student/computer liaison.

scholarly journals Sustainable Developmental Goals (SDGs) and Eye Health Care in Nepal

2018 ◽  
Vol 9 (2) ◽  
pp. 105-107
Author(s):  
Rajiv Khandekar
Keyword(s):  
Sustainable Development ◽  
United Nations ◽  
Three Dimensions ◽  
World Health ◽  
Human Beings ◽  
Vision 2020 ◽  
Eye Health ◽  
Primary Focus ◽  
Sustainable Developmental Goals ◽  
Health Organization

In 2015, the United Nations (UN) adopted the resolution of transforming our world by the year 2030 through the agenda of Sustainable Development with a primary focus on strengthening universal peace with larger freedom [United Nations 2015, Griggs D 2012]. All member countries including Nepal agreed to this ambitious plan for relieving poverty and reducing global inequality over a span of 15 years starting from 2016 to 2030. All the health programs including, Millennium Developmental Goals, universal eye health or Vision 2020 – the elimination of avoidable blindness by 2020 are expected to thrive under the umbrella of Sustainable Development Goals (SDGs). There are 17 goals and 169 targets. The three dimensions of sustainable development - economical, social and environmental - are balanced in this new initiative [eye health Australia 2015]. The overall effect of this initiative will be beneficial to human beings and our planet with human health as one facet among many. All efforts would be directed to review, realign and integrate the ongoing public health activities to attain SGDs [World Health Organization 2016]

scholarly journals OpenStats: A Robust and Scalable Software Package for Reproducible Analysis of High-Throughput Phenotypic Data

2020 ◽  
Author(s):  
Hamed Haselimashhadi ◽  
Jeremy C Mason ◽  
Ann-Marie Mallon ◽  
Damian Smedley ◽  
Terrence F Meehan ◽  
...  
Keyword(s):  
High Throughput ◽  
Software Package ◽  
Computational Time ◽  
Phenotypic Data ◽  
Creative Commons ◽  
International Mouse Phenotyping Consortium ◽  
Software Packages ◽  
Current Production ◽  
High Throughput Phenotyping ◽  
Reproducible Analysis

AbstractReproducibility in the statistical analyses of data from high-throughput phenotyping screens requires a robust and reliable analysis foundation that allows modelling of different possible statistical scenarios. Regular challenges are scalability and extensibility of the analysis software. In this manuscript, we describe OpenStats, a freely available software package that addresses these challenges. We show the performance of the software in a high-throughput phenomic pipeline in the International Mouse Phenotyping Consortium (IMPC) and compare the agreement of the results with the most similar implementation in the literature. OpenStats has significant improvements in speed and scalability compared to existing software packages including a 13-fold improvement in computational time to the current production analysis pipeline in the IMPC. Reduced complexity also promotes FAIR data analysis by providing transparency and benefiting other groups in reproducing and re-usability of the statistical methods and results. OpenStats is freely available under a Creative Commons license at www.bioconductor.org/packages/OpenStats.

Sign in / Sign up

Export Citation Format

Share Document