Public Distribution Research Articles

Regional patterns in minimum diet diversity failure and associated factors among children aged 6-23 months in India.

Background About 35% of the global child deaths and 11% of the total disease burden are due to inadequate nutrition. While in India, 1 in 3 children are underweight and stunted, and 1 in 5 children are wasted. Methods Using multivariate and descriptive statistical analysis, we examined the prevalence, determinants of minimum diet diversity failure (MDDF) and trends of MDDF across different regions of India among children aged 6-23 months. Dietary pattern in 8 food groups was also examined using the National Family and Health Survey (NFHS) data from 2005-06 to 2019-21. Results Overall, MDDF in India has decreased from 87.4% (2005-06) to 77.1% (2019-21). The central region (84.6%) reported the highest prevalence of MDDF in 2019-21. Children of illiterate and rural residing mothers with no mass media exposure, children of the first birth order and children not exposed to counselling and health check-ups at Anganwadi/Integrated Child Development Services (ICDS) centres, children with low birth weight and anaemic, and who belonged to a large family had greater likelihood for MDDF. Conclusion To tackle the high prevalence of MDDF, a holistic action is needed from the government, i.e. improved public distribution system (PDS), intensified Integrated Child Development Scheme (ICDS) programme, use of social media, and nutrition counselling through local self-governance.

Serious Games for Serious Business: Unravelling Trends and Distribution Dynamics

Objective: To analyse the impact and applications of Serious Games in the corporate realm, evaluating both benefits and challenges associated with their adoption. Methodology: A literature review is conducted through a descriptive bibliometric analysis. The distribution of publications and citations of studies by year, affiliations and authors with the highest productivity rate, and most cited articles are analysed. Results: A marked increase in publications on Serious Games is observed, indicating a growing interest in research. Citation analysis shows an upward trend, with the year 2022 standing out as the most prolific. INRAE and Wageningen University Research are leading institutions in this field, and prominent authors include Mayer, Dumont, and Russell-Bennett. Limitations: There is potential bias in article selection and a narrow focus on the benefits and challenges of Serious Games in enterprises, overlooking long-term sustainability. This could be addressed by comparing the effectiveness of Serious Games in employee training versus customer interaction and evaluating their applicability across different sectors. Practical implications: Serious Games are useful for simulating business creation, developing entrepreneurial skills through a playful approach, as well as citizen decision-making and its impact on carbon emissions. In the tourism sector, the effectiveness of gamification through Serious Games is evidenced by increased brand loyalty. The article provides an understanding of the landscape of Serious Games and their implementation in companies across different sectors. It observes the practical implications of this learning tool and its interaction with consumers, to enhance their experience.

Evaluating the Impact of Fair Price Shops on Food Security: A Comprehensive Study within the Aspirational District Programme in Hazaribagh, Jharkhand

Abstract The Aspirational District Programme, initiated by Prime Minister Narendra Modi in January 2018, aims to promote equitable development across 115 identified districts in India, including 19 in Jharkhand, with Hazaribagh situated in the North Chotanagpur division. This program operates under 49 indicators spread across five key sectors: Health and Nutrition, Education, Agriculture and Water Resources, Financial Inclusion and Skill Development, and Basic Infrastructure. A critical aspect of this initiative is the Health and Nutrition sector, which emphasizes the provision of nutritious food to ensure that no one faces hunger. Food security is vital in assessing whether individuals have consistent access to food, particularly through the Public Distribution System (PDS). This system includes numerous Fair Price Shops, or ration shops, tasked with delivering essential goods to individuals categorized as Below Poverty Line (BPL), Priority House Holds (PHH), and those under the Antyodaya Anna Yojana (AAY) in Jharkhand, aimed at supporting the most impoverished families with subsidized rates set by the central government. My research focuses on several Fair Price Shops in Hazaribagh district, employing survey methods to gather primary data. The objective is to gain insights into the actual conditions of these ration shops and to evaluate the extent of benefits received by the local population.

Examining the Impact of Socio-economic, Demographic and Policy Factors on Reverse Migration in India During COVID-19 Pandemic

This article examines the factors that determined ‘reverse migration’ of households from urban locations in India in the aftermath of a series of lockdowns that followed the coronavirus disease-2019 (COVID-19) pandemic. Positioning reverse migration as a coping strategy to ameliorate negative consequences of loss of livelihood, food shortages and loss of shelter in urban India, this article examines the factors that led to the utilization of this strategy in the aftermath of lockdown during the pandemic outbreak. The article also tests whether returning to hinterland persisted after the period of lockdowns. The lockdowns had exacerbated living conditions for urban poor. Migration to rural areas continued despite various policies and programmes that the national and state governments instituted to counter the negative impact of lockdowns, particularly on low-income households. Examining the socio-economic, demographic and policy factors, this article provides evidence that family support and rural social institutions such as self-help groups played a crucial role in providing support system during pandemic even to those who migrated back from urban areas. Government programmes such as Rural Employment Guarantee Scheme and access to public distribution system were also important for reverse migrants. An important result is that the first wave of reverse migration was due to family and emotional reasons that arose because of lockdowns, the second wave of migration was for economic reasons as households continued to struggle in urban areas, and the migration during the third wave was a usual seasonal migration.

Estimating the Effectiveness of Public Versus Private Distribution Systems: Insights from a Fertilizer Policy Reform in Malawi

Throughout much of the world, critical goods and services are provided by parallel public and private distribution systems. However, it is often difficult to causally differentiate the performance of these two channels. In this article, we utilize a policy change in Malawi to estimate the relative efficiency of public and private channels in distributing inputs to smallholder farmers. In the 2015/16 agricultural season, the government allowed a group of private-sector fertilizer dealers to distribute subsidized fertilizer in nine of the country’s 28 districts. We use a panel dataset and a difference-in-differences (DID) strategy to estimate the impact of the pilot reform on a set of variables encompassing the entire process of subsidized fertilizer acquisition and appropriate utilization. We find that households in districts where the private sector distributed subsidized fertilizer were 11 percentage points more likely to acquire it earlier in the planting season (p < 0.01). We also find that households in pilot districts were six percentage points more likely to apply inorganic fertilizer (p < 0.10), but this effect was no longer statistically significant after using household fixed-effects and correcting for multiple hypothesis testing. Additionally, the reform did not affect other outcomes such as timely fertilizer application or maize yields.

Mapping the Cost of Illness Publications in Five Decades: A Bibliometric Analysis and Publications Landscape

The study aims to map the "cost-of-illness" publications over five decades, identify research areas and conduct a bibliometric analysis of publications on the cost of illness. Study data was obtained from Web of Science database in April 2024. The basic information such as the number of citations, and yearly distribution of publications was extracted with Microsoft Excel, and the VOSviewer version 1.6.15 software program was used for maps. The publications were published between 1975 and 2024; total 879 publications were published from 2015 to 2024 April. A total of 7601 authors have contributed to advancing the literature on cost of illness. A total of 36369 citations have been cited by authors; 2022 was most cited year with 3032 citations; Boncz I. is the prominent author based on publications and total link strength and Leigh, JP is the most cited author; followed by Sebestyen, A. and Koenig, H.H. The top 10 publications have a total of 5352 citations. There has been significant increase in publications and citations related to the cost of the disease in the last five decades. Understanding the context of these publications is essential for researchers who want to work in this field.

Durability of Fiber-Reinforced Polymer (FRP) Bars: Progress, Innovations and Challenges Based on Bibliometric Analysis

This review systematically examines the literature on the Fiber-Reinforced Polymer (FRP) bars durability in concrete matrices using bibliometric analysis to understand progress, innovations, and challenges. The objective is to explore the durability of FRP bars, which are recognized for their strength-to-weight ratio, corrosion resistance, and non-conductivity, as a potential substitute to conventional steel reinforcement. Methods involved employing bibliometric tools such as Biblioshiny and VOSviewer to analyze trends, collaboration patterns, and the global distribution of publications. Findings reveal an increase in research activity over the past two decades, significant international collaboration, and leading contributions from key countries. Critical environmental factors like alkalinity, thermal conditions, and chemical aggressors affecting the interface of fiber-matrix mechanical properties were highlighted. Advances in predictive modeling for long-term behavior conditioned FRP bars are studied, steering future research towards improved durability and sustainable construction practices. This study contributes novelty by providing a comprehensive bibliometric perspective on FRP bar durability, identifying emerging trends, and suggesting areas for future suggested research to enhance the reliability and application of FRP bars in construction. Doi: 10.28991/CEJ-SP2024-010-09 Full Text: PDF

Commutative and Retributive Justice in the Administration of Disgorgement in Insider Trading Cases—the Case for the Common Law Approach to Damages

Using Zambia as a case study, this article examines the efficacy of the Zambian regulatory and institutional framework for public distribution of securities in ensuring commutative justice in the administration of disgorgement by the Securities and Exchange Commission. Using the doctrinal and non-doctrinal approaches to examining the effectiveness of regulatory rules and institutions, the main findings of the study are: When it is applied to non-corporate insider traders, the statutory formula for disgorgement which is provided in the Zambian Securities Act 2016 tends to under-regulate by leaving some of the insider trading gains with the insider trader—a commutative injustice to the public; When it is applied to juristic persons (companies and other styles of bodies corporate), the formula for disgorgement which is provided in the Zambian Securities Act 2016 tends to over-regulate by taking away from the insider trader more than they actually gained from insider trading—a retributive and commutative injustice to the insider trader. The central argument of this article is that regulatory rules and institutions which promote retributive and commutative justice are likely to inspire social willingness to pay the cost of socioeconomic exchanges and regulation, and as such, are efficient. As a possible way of promoting commutative and retributive justice in the administration of disgorgement in insider trading cases, the article makes a case for the application of ‘the common law approach to the award of damages’ in the determination of the amount which is to be disgorged. The article also makes proposals for the repeal of the statutory formula, and its replacement with the standard formula for disgorgement which has been proposed.

WITHDRAWN: Design of Group Key Agreement Method Based on Elliptic Curve Cryptography in New Energy Extensive Access Security Protection

Aiming at the security problem of power system communication network under the condition of extensive access of new energy, we design the group key agreement method based on elliptic curve cryptography in the security protection of new energy extensive access. Design the architecture of power system security protection network under the condition of extensive access to new energy. The network architecture adopts wireless communication technology to realize the transmission of new energy security monitoring information. For the data confidentiality problem in the wire communication technology, the group key agreement method based on elliptic curve cryptography is proposed, and the group key agreement model is constructed under the set conditions, and the group key is generated through the processes of main parameter selection, group composite public key distribution, group key agreement protocol design, group key update protocol for node joining event, and group key update protocol for members departure event, etc. The group key is utilized for the communication. The experimental results show that this method can generate the key with high randomness and excellent key sensitivity, which can effectively resist the attacks of character frequency statistics and information entropy and guarantee the security of communication information.

A bibliometric review of flipped classroom approaches for enhanced students’ language learning

The widespread use of contemporary flipped classrooms for teaching, especially in language learning, provides new insights. Flipped classrooms are two important aspects of language learning that produce impactful outcomes and understanding. It is essential that these processes be used to strengthen the system of language learning. We used PRISMA statement templates for bibliometric analysis. The analysis is based on publications from 2014 to 2023. We examined and analyzed 309 databases from Scopus to gain insights into flipped classrooms and language learning. Concurrently, distinct inclusion and exclusion standards were applied for the screening process. Through a bibliometric analysis, we have determined the distribution of publications on the impact of flipped classrooms on language learning between 2014 and 2023. Additionally, we have identified the most significant journals and authors, the prominent countries engaged, the primary research keywords, and the key subject areas explored. This study illustrates trends and suggestions for flipped classroom and language learning. Suggestions are also made to improve students’ academic performance by making full use of the effects of flipped classroom on language learning.

Bibliometric Analysis of Studies on the Artificial Intelligence in Science Education with VOSviewer

Understanding the trends and developments in artificial intelligence research in science education, which has rapidly advanced in recent years, is crucial for technological innovations and applications in education. Therefore, this study examines research on artificial intelligence in science education conducted between 2019 and 2023 (the last five years) through bibliometric analysis, utilizing the Web of Science database. VOSviewer was used for the analysis. As a result of scanning the Web of Science database under these criteria, 867 studies were identified. Analyzing the distribution of these 867 publications by year reveals a concentration in 2023 and 2022. In terms of publication distribution by country, the leading contributors were the USA, China and Australia. The most prolific authors were identified as D. Gasevic, Z. Xiaoming and S. S. Oyelere. Regarding the number of documents and citations in journals, "Computers &amp; Education" ranked first. The most cited used keywords were "Machine Learning" and "Artificial Intelligence", followed by "Learning Analytics", "Data Science" and "Higher Education". The findings illuminate recent research on artificial intelligence in science education. This study is expected to assist researchers in identifying trends within the field and to provide guidance for future studies.

커뮤니티 공공 공간 고령자 적합성 디자인에 관한 연구 - 커뮤니티 양로 모델으로

The problem of population aging is becoming more and more serious, especially under the mode of community-based elderly care, the demand of elderly residents for community public space is becoming more and more prominent. In this paper, through the study of representative elderly care communities in the United States, Japan, Singapore and South Korea, the design strategy of community public space for aging is discussed. The research content covers spatial structure planning, barrier-free design, intelligent elderly care equipment, green landscape proportion, public service facilities distribution and other aspects, aiming to optimize the community environment to meet the physiological and psychological needs of the elderly. Through comparative analysis, this paper puts forward the guidelines for the design of aging, expecting to provide theoretical reference for the development of community-based elderly care mode in the future, and build a more harmonious, stable and livable community.

Demographic and food frequency survey of a marginalized community in Almora, Uttarakhand, India

The demography and eating behaviour of the marginalized communities residing in the Almora district of Uttarakhand, India, was investigated. It was observed that agriculture was the main income source along with other work such as labourer, black-smith, etc. Food consumption was mainly dependent upon either the Government Public Distribution System or on traditional coarse grains which were being produced only for their own consumption. Traditional food crops were being neglected in the Himalayan region due to the deterioration of local food systems, changing food habits, and lack of awareness of the uses and nutritional value of traditional crops.

A Systematic Literature Review of the Public Distribution System in India

A Systematic Literature Review of the Public Distribution System in India

The mutant mouse resource and research center (MMRRC) consortium: the US-based public mouse repository system

AbstractNow in its 25th year, the Mutant Mouse Resource and Research Center (MMRRC) consortium continues to serve the United States and international biomedical scientific community as a public repository and distribution archive of laboratory mouse models of human disease for research. Supported by the National Institutes of Health (NIH), the MMRRC consists of 4 regionally distributed and dedicated vivaria, offices, and specialized laboratory facilities and an Informatics Coordination and Service Center (ICSC). The overarching purpose of the MMRRC is to facilitate groundbreaking biomedical research by offering an extensive repertoire of mutant mice that are essential for advancing the understanding of human physiology and disease. The function of the MMRRC is to identify, acquire, evaluate, characterize, cryopreserve, and distribute mutant mouse strains to qualified biomedical investigators around the nation and the globe. Mouse strains accepted from the research community are held to the highest scientific standards to optimize reproducibility and enhance scientific rigor and transparency. All submitted strains are thoroughly reviewed, documented, and validated using extensive scientific quality control measures. In addition, the MMRRC conducts resource-related research on cryopreservation, mouse genetics, environmental conditions, and other topics that enhance operations of the MMRRC. Today, the MMRRC maintains an archive of mice, cryopreserved embryos and sperm, embryonic stem (ES) cell lines, and murine hybridomas for nearly 65,000 alleles. Since its inception, the MMRRC has fulfilled more than 20,000 orders from 13,651 scientists at 8441 institutions worldwide. The MMRRC also provides numerous services to assist researchers, including scientific consultation, technical assistance, genetic assays, microbiome analysis, analytical phenotyping, pathology, cryorecovery, husbandry, breeding and colony management, infectious disease surveillance, and disease modeling. The ICSC coordinates MMRRC operations, interacts with researchers, and manages the website (mmrrc.org) and online catalogue. Researchers benefit from an expansive list of well-defined mouse models of disease that meet the highest scientific standards while submitting investigators benefit by having their mouse strains cryopreserved, protected, and distributed in compliance with NIH policies.

Mining of Data in Real Time to build an Interactive Research Analytics Dashboard

The paper discusses the process of building a web-based interactive platform to assess the research productivity of the individual faculty of an institution. The application harvests the bibliographic data of researchers’ publications from the Scopus database and visualises it in real-time. The open-source environment R with different packages like the shiny, shiny dashboard for building web apps and dashboard designing; httr for data harvesting through API, jsonlite for parsing JSON data, tm for text mining, wordcloud for visualising wordcloud, textstem for lemmatization of text strings, dplyr for data manipulation, etc. were used. The data was harvested at the backend using Scopus API. The user interface of the application’s front end is the default design of the shiny dashboard, with some limited customization using CSS. The system tracks and visualizes the research productivity of the faculty. The application provides the total number of publications, citations, H Index, open access information, number of publications in open access, and closed access, in an assessment year rather than a calendar year, source-wise differentiation of publications, annual distribution of publications, common themes of the research, etc.

Bibliometric Analysis of Constantinople Studies Through Voswiever

This study aims to map the studies on the concept of Constantinople. Within the scope of quantitative data, the study aims to provide researchers with a systematic summary of the existing literature on Constantinople, the capital of the Byzantine Empire for about 11 centuries, using bibliometric analysis, and to identify trends and gaps in the study of Constantinople. The unit of analysis is based on the bibliometric data of different types of works scanned in the Web of Science database and published between 1975 and 2024. When examining the distribution of 1939 works on this subject according to the years of publication, the highest concentrations are observed in 2021 (144 works), 2022 (130 works), and 2019 (107 works). The authors who published the most works are Alessandra Bravi (13 works), Judith Herrin (13 works), and Sofia Kotzabassi (10 works). The predominant types of publications are journal articles (1280), book reviews (463), and book chapters (213). In terms of research fields, History (1018), Medieval Studies (733), Art (166), Archaeology (137), and Area/Regional Studies (65) are the most represented. Regarding the distribution of publications by country, the USA (258), Russia (197), and the UK (1377) are the leading publishers. The majority of works were published in English (1067), Russian (269), and French (184). The primary indexing databases include AHCI (1033), ESCI (581), and SSCI (122). The most frequently used keywords in publications on Constantinople include Byzantium (416 repetitions), Roman Empire (127 repetitions), Old Russian (70 repetitions), and Kemalism (58 repetitions).

Daymet and DeGAUSS: Development of a Novel Method that Links High Spatial Resolution Gridded Meteorological Data with Geocoded Healthcare Encounters

ObjectiveDue to human-caused climate change, extreme temperature-related morbidity/mortality are increasing global public health concerns. To better understand the burdens of heat exposure, researchers must merge accurate/granular environmental data with clinical data. We developed a privacy-preserving method that links high-spatial-resolution continuous, gridded, meteorological data to geocoded healthcare encounters. ApproachIn an R environment, we developed code that links geocoded healthcare encounters to publicly-available Daymet data via the corresponding Daymet raster cell number and healthcare encounter date. Daymet provides daily 1km x 1km surface meteorological data over North America since 1980. User specifications include the bounding box latitude/longitude of Daymet data download, which Daymet environmental variables are linked, and the day-lag of Daymet data matching to healthcare encounter date. ResultsLinking 500,000 healthcare encounters over a 7-day lag with 7 years of Daymet data comprising minimum/maximum temperature over a bounding box encompassing Cook County, Illinois (5,670 1km raster cells) took 11.92 minutes with 4 CPUs and 8GB RAM. Thirteen years of Daymet data took 23.85 minutes. Linking 7.5 million encounters with 7 years of data took 28.49 minutes. ConclusionsOur newly-developed method for linking Daymet data to geocoded healthcare encounters preserves patient privacy, and processes the data efficiently over a minimal timespan. ImplicationsDaymet data linked to healthcare encounters allows for accurate assessment of the association between environmental variable exposure and any clinical outcome over North America. Packaging the code allows for public distribution within the Decentralized Geomarker Assessment for Multi-Site Studies (DeGAUSS) universe of geoanalytic tools.

Bibliometric and Content Analyses of Dyscalculia Research

Dyscalculia is a math learning difficulty that many researchers have studied. A bibliometric and content analysis was conducted using the Web of Science database to provide a comprehensive overview of existing research on dyscalculia. The study aimed to identify key themes, prevailing research trends, potential knowledge gaps, and influential authors and articles in the field. The analysis focused on several research questions related to the distribution of articles and their citation data over the years, the types and numerical distribution of publications on dyscalculia, collaborative networks between authors, institutions, and countries/regions, topical research foci, prominent journals publishing articles on dyscalculia, top authors and countries researching dyscalculia, disciplines comprising the foundation of dyscalculia research, topics covered, the sample studied, and methods preferred in highly cited articles on dyscalculia. The co-occurrence analysis of the keywords revealed that dyscalculia, mathematical difficulties, dyslexia, and developmental dyscalculia were the most frequently cited terms. The top ten most cited articles were subjected to content analysis, revealing the types of research and methodologies. This study paves the way for future research and emphasizes the importance of interdisciplinary collaboration in understanding the nature and underlying causes of mathematics learning disabilities.

Research trends and perspective of low-intensity pulsed ultrasound in orthopedic rehabilitation treatment based on Web of Science: A bibliometric analysis.

Ultrasound has a long history as a diagnostic and therapeutic tool. Low-intensity pulsed ultrasound (LIPUS), whose intensity is below 300 mW/cm2, has been widely used in orthopedic rehabilitation treatment. However, the detailed bioeffects and underlying mechanisms of LIPUS treatment need to be explored. To make a comprehensive view of the field, bibliometric and visualization analysis was used to reveal the global research trends of LIPUS in orthopedics and rehabilitation treatment between 1994 and 2023. All literature data on LIPUS were retrieved from the Web of Science Core Collection database. VOSviewer and CiteSpace were applied for the bibliometric and visualization analysis. A total of 760 publications were included. The distribution of publications generally showed an unstable rising trend. China had the highest number of publications (28.0%), and Chong Qing Medical University was the organization with the highest number of publications (5.8%). Ultrasound in Medicine and Biology had the highest number of publications (8.8%), while BMJ-British Medical Journal had the highest impact factor among the retrieved journals. Ling Qin from the Chinese University of Hong Kong was the most active researcher. Our overlay visualization map showed that the keywords such as pain, knee osteoarthritis, apoptosis, chondrocytes, cartilage, and autophagy, which link to osteoarthritis, have becoming the new research trends and hotspots. LIPUS is a popular and increasingly important area of orthopedic rehabilitation, and collaboration of authors from different countries should be further strengthened. Predictably, clinical application of LIPUS on chronic inflammation-related diseases and regenerative medicine, and in-depth biological mechanisms are the orientations of LIPUS in orthopedic rehabilitation treatment.