scholarly journals A Poor Research Landscape Hinders the Progression of Knowledge and Treatment of Reproductive Diseases

2021 ◽  
Author(s):  
Brian J Cox ◽  
Natalie Diana Mercuri
Keyword(s):  
Gender Inequality ◽  
Cancer Biology ◽  
Science Research ◽  
Reproductive Organs ◽  
Policy Changes ◽  
Research Areas ◽  
Reproductive Science ◽  
Reproductive Aged Women ◽  
Disease Focus ◽  
Reproductive Research

Reproductive diseases have gone under the radar for many years, resulting in insufficient diagnostics and treatments. Infertility rates are rising, preeclampsia claims over 70 000 maternal and 500 000 neonatal lives globally per year, and endometriosis affects 10% of all reproductive-aged women but is often undiagnosed for many years. Policy changes have been enacted to mitigate the gender inequality in research investigators and subjects of medical research. However, the disparities in reproductive research advancement still exist. Here, we analyzed the reproductive science research landscape to quantify the gravity of the current situation. We find that non-reproductive organs are researched 5-20 times more annually than reproductive organs, leading to an exponentially increasing relative knowledge gap in reproductive sciences. Additionally, reproductive organs (breast and prostate) are mainly researched when there is a disease focus, leading to a lack of basic understanding of the reproductive organs. This gap in knowledge affects reproductive syndromes and other bodily systems and research areas, such as cancer biology and regenerative medicine. Current researchers, funding organizations and educators must take action to combat this longstanding disregard of reproductive science.

Intelligence in Web Technology

2013 ◽  
pp. 739-757
Author(s):  
Sourav Maitra ◽  
A. C. Mondal
Keyword(s):  
Semantic Web ◽  
Science Research ◽  
Research Area ◽  
Web Technology ◽  
Clear Understanding ◽  
Web Technologies ◽  
Research Areas ◽  
Computer Science Research ◽  
E Learning ◽  
New Research

End users also start days with Internet. This has become the scenario. One of the most burgeoning needs of computer science research is research on web technologies and intelligence, as that has become one of the most emerging nowadays. A big area of other research areas like e-marketing, e-learning, e-governance, searching technologies, et cetera will be highly benefited if intelligence can be added to the Web. The objective of this chapter is to create a clear understanding of Web technology research and highlight the ways to implement Semantic Web. The chapter also discusses the tools and technologies that can be applied to develop Semantic Web. This new research area needs enough care as sometimes data are open. Thus, software engineering issues are also a focus.

scholarly journals Bibliometric Study of the Comorbidity of Pain and Depression Research

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xue-Qiang Wang ◽  
Meng-Si Peng ◽  
Lin-Man Weng ◽  
Yi-Li Zheng ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Web Of Science ◽  
Science Research ◽  
The United States ◽  
Clinical Neurology ◽  
Bibliometric Method ◽  
Research Areas ◽  
Cooperative Institutions ◽  
Number Of Publications ◽  
General Aspects ◽  
Over Time

Background. Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. Methods. The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. Results. A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P<0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. Conclusions. The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.

Three Frontiers for the Future of Biodiversity Research Using Citizen Science Data

BioScience ◽  
2020 ◽  
Author(s):  
Corey T Callaghan ◽  
Alistair G B Poore ◽  
Thomas Mesaglio ◽  
Angela T Moles ◽  
Shinichi Nakagawa ◽  
...  
Keyword(s):  
Citizen Science ◽  
Secondary Data ◽  
Science Research ◽  
Single Species ◽  
Data Sets ◽  
Biodiversity Data ◽  
Science Data ◽  
Biodiversity Research ◽  
Research Areas ◽  
The Future

Abstract Citizen science is fundamentally shifting the future of biodiversity research. But although citizen science observations are contributing an increasingly large proportion of biodiversity data, they only feature in a relatively small percentage of research papers on biodiversity. We provide our perspective on three frontiers of citizen science research, areas that we feel to date have had minimal scientific exploration but that we believe deserve greater attention as they present substantial opportunities for the future of biodiversity research: sampling the undersampled, capitalizing on citizen science's unique ability to sample poorly sampled taxa and regions of the world, reducing taxonomic and spatial biases in global biodiversity data sets; estimating abundance and density in space and time, develop techniques to derive taxon-specific densities from presence or absence and presence-only data; and capitalizing on secondary data collection, moving beyond data on the occurrence of single species and gain further understanding of ecological interactions among species or habitats. The contribution of citizen science to understanding the important biodiversity questions of our time should be more fully realized.

scholarly journals THORPEX Research and the Science of Prediction

2017 ◽  
Vol 98 (4) ◽  
pp. 807-830 ◽  
Author(s):  
D. B. Parsons ◽  
M. Beland ◽  
D. Burridge ◽  
P. Bougeault ◽  
G. Brunet ◽  
...  
Keyword(s):  
Research Program ◽  
Weather Prediction ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Academic Community ◽  
High Impact ◽  
Research Areas ◽  
Predictive Skill ◽  
High Impact Weather

Abstract The Observing System Research and Predictability Experiment (THORPEX) was a 10-yr, international research program organized by the World Meteorological Organization’s World Weather Research Program. THORPEX was motivated by the need to accelerate the rate of improvement in the accuracy of 1-day to 2-week forecasts of high-impact weather for the benefit of society, the economy, and the environment. THORPEX, which took place from 2005 to 2014, was the first major international program focusing on the advancement of global numerical weather prediction systems since the Global Atmospheric Research Program, which took place almost 40 years earlier, from 1967 through 1982. The scientific achievements of THORPEX were accomplished through bringing together scientists from operational centers, research laboratories, and the academic community to collaborate on research that would ultimately advance operational predictive skill. THORPEX included an unprecedented effort to make operational products readily accessible to the broader academic research community, with community efforts focused on problems where challenging science intersected with the potential to accelerate improvements in predictive skill. THORPEX also collaborated with other major programs to identify research areas of mutual interest, such as topics at the intersection of weather and climate. THORPEX research has 1) increased our knowledge of the global-to-regional influences on the initiation, evolution, and predictability of high-impact weather; 2) provided insight into how predictive skill depends on observing strategies and observing systems; 3) improved data assimilation and ensemble forecast systems; 4) advanced knowledge of high-impact weather associated with tropical and polar circulations and their interactions with midlatitude flows; and 5) expanded society’s use of weather information through applied and social science research.

scholarly journals Cryospheric Science: research framework and disciplinary system

2017 ◽  
Vol 5 (2) ◽  
pp. 255-268 ◽  
Author(s):  
Dahe Qin ◽  
Yongjian Ding ◽  
Cunde Xiao ◽  
Shichang Kang ◽  
Jianwen Ren ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Environmental Changes ◽  
Science Research ◽  
Social Adaptation ◽  
Research Framework ◽  
Research Areas ◽  
Traditional Research ◽  
Set Up ◽  
Disciplinary System ◽  
Cryospheric Change

Abstract Cryospheric changes and their impacts have received increasing concern, extending the research to include the interactions between earth spheres and the impacts of and social adaptation to cryospheric changes. As a result, Cryospheric Science is rapidly developing. However, the research framework of Cryospheric Science has not completely been set up, and the intension and extension of Cryospheric Science are unclear. Following a literature review, the research framework for Cryospheric Science and the discipline components are analysed in this paper. We consider that Cryospheric Science is an inevitable product of international research on the earth and environmental changes as well as on human sustainable development. It will not only strengthen the linkage between the cryosphere and other earth spheres by deepening traditional research areas, but will also bring more focus on the critical roles of the cryosphere in interactions between earth spheres, and will enhance the relationship between cryospheric change and climate, ecology, hydrology, surface environment and sustainable development. The disciplinary tree of Cryospheric Science is developed following the mainstream of change-impacts adaptation. The disciplines of Cryospheric Science were teased out against characteristics of traditional branches and the developing interdisciplinary branches of cryosphere elements, which will provide reference to Cryospheric Science as it systematically grows to maturity.

scholarly journals Management of Metadata Types in Basic Cardiological Research

2021 ◽  
Author(s):  
Harald Kusch ◽  
Robert Kossen ◽  
Markus Suhr ◽  
Luca Freckmann ◽  
Linus Weber ◽  
...  
Keyword(s):  
Information Exchange ◽  
Science Research ◽  
Research Data ◽  
Data Types ◽  
Scientific Publications ◽  
German Research Foundation ◽  
Early Adopters ◽  
Research Areas ◽  
Metadata Standards ◽  
Service Projects

Introduction: Ensuring scientific reproducibility and compliance with documentation guidelines of funding bodies and journals is a topic of greatly increasing importance in biomedical research. Failure to comply, or unawareness of documentation standards can have adverse effects on the translation of research into patient treatments, as well as economic implications. In the context of the German Research Foundation-funded collaborative research center (CRC) 1002, an IT-infrastructure sub-project was designed. Its goal has been to establish standardized metadata documentation and information exchange benefitting the participating research groups with minimal additional documentation efforts. Methods: Implementation of the self-developed menoci-based research data platform (RDP) was driven by close communication and collaboration with researchers as early adopters and experts. Requirements analysis and concept development involved in person observation of experimental procedures, interviews and collaboration with researchers and experts, as well as the investigation of available and applicable metadata standards and tools. The Drupal-based RDP features distinct modules for the different documented data and workflow types, and both the development and the types of collected metadata were continuously reviewed and evaluated with the early adopters. Results: The menoci-based RDP allows for standardized documentation, sharing and cross-referencing of different data types, workflows, and scientific publications. Different modules have been implemented for specific data types and workflows, allowing for the enrichment of entries with specific metadata and linking to further relevant entries in different modules. Discussion: Taking the workflows and datasets of the frequently involved experimental service projects as a starting point for (meta-)data types to overcome irreproducibility of research data, results in increased benefits for researchers with minimized efforts. While the menoci-based RDP with its data models and metadata schema was originally developed in a cardiological context, it has been implemented and extended to other consortia at GÃűttingen Campus and beyond in different life science research areas.

scholarly journals Division of Reproductive Science Research

2015 ◽  
Vol 4 (3) ◽  
pp. 1-2
Author(s):  
Eric J Devor ◽  
Donna A. Santillan
Keyword(s):  
Science Research ◽  
Reproductive Science

Welfare State Research and Comparative Political Economy

2018 ◽  
Author(s):  
Silja Häusermann
Keyword(s):  
Political Economy ◽  
Social Policy ◽  
Welfare State ◽  
Political Science ◽  
Science Research ◽  
Welfare States ◽  
Comparative Political Economy ◽  
Investment Policies ◽  
Research Areas ◽  
State Research

Which risks are social and which are private? How much of their GDP do states spend on social welfare? Who exactly is entitled to which benefits? Is it still possible to finance an encompassing welfare state in times of deindustrialization, technological and demographic change, and globalization? And why do the answers to these questions differ so much across countries? These and similar questions—all central to social cohesion in capitalist democracies—ensure that the analysis of welfare politics is one of the theoretically as well as methodologically most dynamic and richest research areas within comparative political economy and political science more generally. Besides outlining the comparative development and the difficulty of measuring social policy, the focus of this contribution lies in a critical review of the most important past and current theoretical debates in the field of welfare state research, as a subfield of comparative political economy. These debates include party- and power-resource-centered approaches and their critiques, institutional explanations of welfare state retrenchment and restructuring, and the importance of multidimensional distributional effects for the analysis of social policy. The article concludes with a review of three more recent debates: the importance of public opinion and individual preferences for the development of the welfare state, the interaction of social policy and the changes of party systems, and the increasing relevance of social investment policies. The political and scientific need for innovative political science research will continue for the foreseeable future: Theory building and methodological possibilities are developing quickly, and the welfare states as research subject are constantly being challenged.

Multi-Agent Systems Research and Social Science Theory Building

2007 ◽  
pp. 101-110
Author(s):  
H. Verhagen
Keyword(s):  
Social Science ◽  
Organization Theory ◽  
Social Science Research ◽  
Science Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Systems Research ◽  
Science Theory ◽  
Multi Agent

This chapter describes the possible relationship between multi-agent systems research and social science research, more particularly sociology. It gives examples of the consequences and possibilities of these relationships, and describes some of the important issues and concepts in each of these areas. It finally points out some future directions for a bi-directional relationship between the social sciences and multi-agent systems research which hopefully will help researchers in both research areas, as well as researchers in management and organization theory.

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