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In recent years, there has been a surge in the development of mHealth apps. Nevertheless, there are no scoping reviews that analyze the scientific peer-reviewed articles of these tools. This research systematically reviews the scientific literature published on health apps targeting children in peer-reviewed journals. It aims to answer four questions: what is the primary purpose of these apps; for what medical specialties and main topics were they developed; whom do they target; and how they were analyzed. The study followed PRISMA methodology, and the search process used the Web of Science Core Collection. The selected terms for the search were "pediatr*" and "app." The initial search resulted in 303 papers which, after applying filters, excluded 187 papers. In the end, 116 articles were deemed appropriate for addressing our research questions and were thoroughly reviewed. The primary purpose of pediatric health apps is to support clinical decision-making, patient education, and patient self-management. The most frequent topics covered are cancer, obesity, and asthma. Hematological oncology and endocrinology are the most frequent medical specialties addressed. The apps mainly target children, their caregivers, or both groups. Most of the apps were analyzed using observational studies, predominantly conducted in the USA, with an average participant sample size of 842. No analyses of development costs were found. These findings can be helpful for the development of future pediatric health apps. What is Known: • Health care has become increasingly digital due to digital health technologies, which have helped to expand the scope of health care. • Digital health technology can be used to improve the health of children. • The increasing availability of smartphones for children and families may enable the use of apps to deliver, promote, and sustain interventions which could lead to long-term improvements in health. What is New: • The most frequent topics covered were cancer, obesity, and asthma. Hematology-oncology and endocrinology were the most frequent medical specialties addressed. • The principal aims of the pediatric health apps were to facilitate clinical decision support, patient education, and patient self-management. • The apps mainly targeted children, their caregivers, or both groups. • Most of them had been analyzed using observational studies. [ABSTRACT FROM AUTHOR]

The agriculture, livestock, forestry, and fishing sectors are very important in Andalusia (Spain), being strongly focused on foreign markets, which has required them to make great efforts to improve their competitiveness. The aim of this work is to understand the interrelationships between the fruit and vegetables sector and the remaining sectors of the Andalusian economy, as well as knowing its multiplying effects on production, income, and employment. To this end, the input-output tables of Andalusia for 2016 will be used in order to know if it is a key sector and how it can help to establish economic policy objectives. Regarding forward linkages, the branches that most demand fruit and vegetable products are the industries related to other food products, and the preparation of canned fish and vegetables. In relation to backward linkages, they focus on the manufacture of basic chemicals, and other agricultural crops and services. Despite its importance in Andalusian agriculture, the fruit and vegetable sector is not considered a key sector according to the Rasmussen coefficients, as it is classified as an independent industry. The reasons may be that it uses few primary inputs, is poorly integrated with the rest of the productive sectors, and its production is destined to satisfy final demand (national and international). However, it generates an above average impact on the economy in most multipliers, being important for stimulating economic policy measures. [ABSTRACT FROM AUTHOR]

The recovery of a built heritage and specifically of singular buildings is a key aspect of local development. The aim of this study was to understand the influence of these regenerations on their environment by transforming adjacent businesses and initiating parallel processes of gentrification and local development. The renewed attraction of these new businesses to the area can result in increased employment and production. The methodology used was based on self-organizing maps of neural networks with matrix architecture and competitive learning. Through the analysis of neural networks, we were able to identify common relationships and behaviors in commercial properties which are adjacent to singular buildings and that share common patterns and characteristics or attributes. The singular buildings analyzed are located along the Spanish Mediterranean coast in the cities of Almería, Barcelona, and Valencia. The results obtained were based on the following hypotheses: occupancy model and the classification based on total occupancy, total variation in occupancy, and the most common types of usage of a given ground floor commercial property. Among the conclusions, we highlight the existence of commercial premises that display anti-cyclical economic behavior and the presence of commercial premises considered to be "unfortunate" or with low potential. [ABSTRACT FROM AUTHOR]

Technification in agriculture has resulted in the inclusion of more efficient companies that have evolved into a more complex sector focused on production and quality. Artificial intelligence, one of the relevant areas of technology, is transforming the agriculture sector by reducing the consumption and use of resources. This research uses a bibliometric methodology and a fractional counting method of clustering to analyze the scientific literature on the topic, reviewing 2629 related documents recorded on the Web of Science and Scopus databases. The study found significant results regarding the most relevant and prolific authors (Hoogenboom), supporting research organizations (National Natural Science Foundation of China) and countries (U.S., China, India, or Iran). The identification of leaders in this field gives researchers new possibilities for new lines of research based on previous studies. An in-depth examination of authors' keywords identified different clusters and trends linking Artificial Intelligence and green economy, sustainable development, climate change, and the environment. [ABSTRACT FROM AUTHOR]

This paper has reviewed the international research on the interactions between the Economy, Energy, and Environment (3E) in the 21st century. For this purpose, a bibliometric and cluster analysis by fractional accounting has been carried out based on the two most important databases: Web of Science (WoS) and Scopus. The research found and studied 2230 documents from the WoS Core Collection and 3,149 from Scopus. The results show a continuous increase in the number of articles that were published and citations during the whole period. They also showed that China and the United States (U.S.) were the most productive countries and there was a predominance of Asian organizations supporting and fostering researches. The main contribution of this article is the analysis of keywords from 2001 to 2018. The trends show that the main common elements are sustainable development and sustainability and they also include CO2 emissions and consumption. Future research in this field should address the energy transition issue in the area of sustainable development by adapting it to the restrictions of this economic model. [ABSTRACT FROM AUTHOR]

This article deals with the study of the labor situation of rural women in Latin American countries. Rural women are one of the most vulnerable social groups in the Latin American workplace, due to its low labor participation, occupational majority self categorization as workers and unpaid family account and positive rates of feminization. But their chances of improving their social vulnerability status of work focuses primarily on nonagricultural Rural Employment (NARE), with great potential in rural development, and legislative support in access to land assets. Opposite the urbanization process is necessary to implement public policies that take into account the existence of rural women as workers in rural areas and design support measures specifically aimed at this group. [ABSTRACT FROM AUTHOR]

This article has reviewed the international research from the 20th century to the first half of 2019 on the terms "efficiency" and "local government". For this purpose, a bibliometric and a cluster analysis by fractional accounting have been carried out using two of the most important databases: Web of Science (WoS) and Scopus. The research found and studied 1222 documents from the WoS Core Collection and 2264 from Scopus. The results show a continuous increase in the number of published articles and citations during the whole period. It also found that the U.S., U.K, and China are the most productive countries with a predominance of North American and Asian organizations supporting and fostering researches. The principal contribution of this article is the analysis of keywords from 2011 to the first half of 2019. The trend shows a convergence on the concepts of efficiency and local government over the last few years, which are related to sustainability and natural environment. Future research in this field should address the relationship between efficiency in the allocation of local resources and the environmental sustainability of municipalities. • A bibliometric review of local government efficiency was conducted. • The paper identifies publications that serve as a guide to the local policymakers. • A recent worldwide trend in this field is based on environment. • A pending subject of local government efficiency is a geopolitical analysis. [ABSTRACT FROM AUTHOR]