scholarly journals Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ekaterina Ilgisonis ◽  
Andrey Lisitsa ◽  
Valerya Kudryavtseva ◽  
Elena Ponomarenko
Keyword(s):  
Text Mining ◽  
Scientific Concept ◽  
Future Research ◽  
Semantic Map ◽  
Semantic Maps ◽  
Mesh Terms ◽  
Pubmed Search ◽  
Number Of Publications ◽  
The One ◽  
Search History

Concept-centered semantic maps were created based on a text-mining analysis of PubMed using the BiblioEngine_v2018 software. The objects (“concepts”) of a semantic map can be MeSH-terms or other terms (names of proteins, diseases, chemical compounds, etc.) structured in the form of controlled vocabularies. The edges between the two objects were automatically calculated based on the index of semantic similarity, which is proportional to the number of publications related to both objects simultaneously. On the one hand, an individual semantic map created based on the already published papers allows us to trace scientific inquiry. On the other hand, a prospective analysis based on the study of PubMed search history enables us to determine the possible directions for future research.

scholarly journals Performance evaluation in management accounting: apliccation of process Proknow-C for knowledge generation

2016 ◽  
Vol 15 (3) ◽  
pp. 20-38
Author(s):  
Fabiana Frigo Souza ◽  
Sandra Rolim Ensslin ◽  
Valdirene Gasparetto
Keyword(s):  
Performance Evaluation ◽  
Performance Appraisal ◽  
Management Accounting ◽  
Knowledge Generation ◽  
Future Research ◽  
Appraisal System ◽  
Literature Study ◽  
The Subject ◽  
Number Of Publications ◽  
The One

This research aimed to analyze the characteristics of international scientific research about the literature fragment on the use of Performance Evaluation (PE) in Management Accounting for the knowledge generation and identifying gaps and future research possibilities. To this end, this research with qualitative approach used ProKnow-C tool for selecting the Bibliographical Portfolio (PB) and analysis of the characteristics of its publications. The research resulted in sixteen articles aligned to the subject, who composed the PB and had these results: the journal Transformations in Business and Economics is the one with the highest number of publications portfolio; of the 21 authors, of the articles of the PB, the author Mostaque Md Hussain has largest number of publications, four; the contingency theory was the most used by the authors as the foundation of the Performance Evaluation and; several studies have used the Performance Evaluation path towards becoming the metrics most dynamic. Based on the literature study, the following research gaps were identified: lack of research that focus on the agency theory and the theory of stakeholders and lack of research focusing on the PE path extended to the stakeholders. To promote advances in the field, there is a need for studies that encompass the interests of stakeholders for the use of performance appraisal system, so that they are enlarged the information to be generated by this system.

scholarly journals Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

2021 ◽  
Vol 8 (1) ◽  
pp. 177
Author(s):  
Fajar Delli Wihartiko ◽  
Sri Nurdiati ◽  
Agus Buono ◽  
Edi Santosa
Keyword(s):  
Artificial Intelligence ◽  
Text Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Community ◽  
Future Research ◽  
Literature Study ◽  
Blockchain Technology ◽  
Artificial Intelligence Technology ◽  
Number Of Publications

<p class="Abstrak">Dewasa ini teknologi <em>blockchain</em> dan kecerdasan buatan (<em>artificial intelligence</em>/AI) telah diimplementasikan dalam bidang pertanian. Teknologi <em>blockchain</em> menjanjikan keamanan dan peningkatan kepercayaan untuk pengguna. Teknologi kecerdasan buatan menjanjikan berbagai kemudahan bagi pengguna. Perpaduan kedua teknologi tersebut dapat meningkatan kepercayaan terhadap sistem kecerdasan buatan (<em>blockchain for</em> AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem<em> blockchain </em>(AI <em>for</em> <em>blockchain</em>). Tujuan penelitian ini mengulas kedua teknologi tersebut dalam studi literatur serta memberikan tantangan riset ke depan terkait implementasinya di bidang pertanian.  Metodologi yang digunakan adalah <em>Systematic Literature Review </em>(SLR) dan <em>text mining</em>. <em>Text mining </em>digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset <em>Blockchain </em>dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan <em>blockchain </em>dan AI dalam pertanian. Riset tersebut memiliki potensi besar untuk berkembang terlihat dari peningkatan jumlah publikasi dalam 2 tahun terakhir. Kontribusi penelitian ini meliputi posisi riset terkini dan usulan riset ke depan dengan mempertimbangkan kondisi pertanian Indonesia. Posisi riset tersebut didominasi komunitas peneliti dari negara-negara di Asia seperti India (33%), Pakistan (33%), China (14%) dan Korea (14%). Originalitas penelitian ini terletak pada studi literatur dari integrasi teknologi <em>blockchain </em>dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan <em>text mining.</em></p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstrak"><em>Artificial intelligence and blockchain technology are being developed and implemented in Agriculture. Blockchain technology promises security and trust for users. Moreover, artificial intelligence technology promises convenience for users. The combination of these two technologies will increase trust in artificial intelligence systems. Besides, this combination can also increase security on the blockchain system through the application of artificial intelligence. This paper summarizes the application of both technologies and reviews them in a systematic literature review, presents a description of articles based on text mining, and provides future research challenges related to the implementation of blockchain and artificial intelligence in agriculture. The methodologies used are Systematic Literature Review (SLR) and text mining. Text mining is used to describe a description of existing research based on the words in each selected article. SLR is used to provide a comprehensive review of Blockchain research and Artificial intelligence in agriculture. The results showed that there were 10% of research related to the application of blockchain and AI in agriculture. This research has great potential for growth as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. </em><em>The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research is a literature study on the integration of blockchain and artificial intelligence in agriculture using SLR and text mining.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

scholarly journals Trends and topics in eye disease research in PubMed from 2010 to 2014

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1557 ◽  
Author(s):  
Christophe Boudry ◽  
Eric Denion ◽  
Bruno Mortemousque ◽  
Fréderic Mouriaux
Keyword(s):  
Scientific Productivity ◽  
Eye Diseases ◽  
Eye Disease ◽  
Vision Disorders ◽  
Disease Research ◽  
Mesh Terms ◽  
The Usa ◽  
Pubmed Search ◽  
The Mean ◽  
Number Of Publications

Background: The purpose of this study is to provide a report on scientific production during the period 2010–2014 in order to identify the major topics as well as the predominant actors (journals, countries, continents) involved in the field of eye disease.Methods: A PubMed search was carried out to extract articles related to eye diseases during the period 2010–2014. Data were downloaded and processed through developed PHP scripts for further analysis.Results: A total of 62,123 articles were retrieved. A total of 3,368 different journals were found, and 19 journals were identified as “core journals” according to Braford’s law. English was by far the predominant language. A total of 853,182 MeSH terms were found, representing an average of 13.73 (SD = 4.98) MeSH terms per article. Among these 853,182 MeSH terms, 14,689 different MeSH terms were identified. Vision Disorders, Glaucoma, Diabetic Retinopathy, Macular Degeneration, and Cataract were the most frequent five MeSH terms related to eye diseases. The analysis of the total number of publications showed that Europe and Asia were the most productive continents, and the USA and China the most productive countries. Interestingly, using the mean Five-Year Impact Factor, the two most productive continents were North America and Oceania. After adjustment for population, the overall ranking positions changed in favor of smaller countries (i.e. Iceland, Switzerland, Denmark, and New Zealand), while after adjustment for Gross Domestic Product (GDP), the overall ranking positions changed in favor of some developing countries (Malawi, Guatemala, Singapore).Conclusions: Due to the large number of articles included and the numerous parameters analyzed, this study provides a wide view of scientific productivity related to eye diseases during the period 2010–2014 and allows us to better understand this field.

scholarly journals Bibliometric Analysis of Dental Erosion (2011–2020)

2021 ◽  
Vol 11 (22) ◽  
pp. 10971
Author(s):  
Laura Marqués Martínez ◽  
Carla Borrell García ◽  
Clara Guinot Barona ◽  
Paula Boo Gordillo ◽  
Esther García Miralles
Keyword(s):  
Bibliometric Analysis ◽  
Management Strategies ◽  
Dental Erosion ◽  
Research Articles ◽  
Future Research ◽  
Cross Sectional ◽  
The Past ◽  
Mesh Terms ◽  
Number Of Publications ◽  
The Uk

During the past decade, an increase in the number of studies about dental erosion has been observed. The aim of the present study was to describe the current trends in published scientific articles related to dental erosion between 2011 and 2020. Data of the authors, year and language of publication were analyzed. A bibliometric analysis of the articles published in PubMed was conducted using the MeSH terms (dental erosion) and (tooth erosion) using the Boolean operator OR/AND. A sample of n = 1090 articles published during the past ten years (2011–2020) was obtained. The variables analyzed were the language of the article, the year of publishing, the number of authors, the affiliations of the first and last author and the relationship between them. The countries of origin of the first and last author were ranked according to the number of publications, led by Brazil, the UK, and the USA. During the analysis of the type of article, we observed that 79.4% of all publications were research articles. In recent years, a significant increase in research articles on dental erosion has been observed, especially in Brazil and the UK, with a high number of publications of translational articles in humans and cross-sectional observational studies. The main findings in this article will help researchers, academics and students to characterize scientific results regarding dental erosion, to evaluate management strategies and to identify important topics and issues that will help design future research.

A Review of Drug Side Effect Identification Methods

2020 ◽  
Vol 26 (26) ◽  
pp. 3096-3104 ◽  
Author(s):  
Shuai Deng ◽  
Yige Sun ◽  
Tianyi Zhao ◽  
Yang Hu ◽  
Tianyi Zang
Keyword(s):  
Side Effects ◽  
Future Research ◽  
Drug Side Effects ◽  
Important Indicator ◽  
Advantages And Disadvantages ◽  
Key Points ◽  
Network Methods ◽  
Future Research Directions ◽  
The One ◽  
Approved Drugs

Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.

scholarly journals An Online Reputation Analysis of the Tourism Industry in Marbella: A Preliminary Study on Open Innovation

2021 ◽  
Vol 7 (2) ◽  
pp. 111
Author(s):  
María Jesús Carrasco-Santos ◽  
Antonio Manuel Ciruela-Lorenzo ◽  
Juan Gabriel Méndez Pavón ◽  
Carmen Cristófol Rodríguez
Keyword(s):  
Quantitative Research ◽  
Tourism Industry ◽  
Future Research ◽  
Full Data ◽  
Tourist Destination ◽  
Specific Advice ◽  
Sociodemographic Profile ◽  
The One ◽  
Online Reputation ◽  
The City

This research analyzed the online reputation of Marbella as a tourist destination and the profiles of the reviewers according to sociodemographic characteristics. A correlational, quantitative research technique was used in this study based on the manual extraction of more than 4000 reviews generated on TripAdvisor. The data used in this study were collected from the TripAdvisor website, taking, as a sample, tourists who had visited the city in the last three years. Ratings that did not provide full data on the variables were excluded. The findings show that Marbella is considered a luxury shopping destination. The preliminary conclusions allow us to generalize about the sociodemographic profile of its tourists. The findings of the study will provide valuable information for Marbella’s Destination Management Organization (DMO). On the one hand, this study highlights the importance of ranking the attractions of the city to create better communication strategies and enhance the appeal of those attractions that receive the best ratings, establishing the true vocation of Marbella as a tourist destination. On the other hand, it provides information on what tourists perceive to be negative elements, allowing the administration to create an improvement plan. The novelty of this research paper is that it delves into Marbella’s online reputation through an analysis of specific attractions’ ratings. Areas that require further attention in future research have been highlighted, along with specific advice on each attraction that contributes to the tourist offerings of the city.

scholarly journals Evolution of knowledge on meniscal biomechanics: a 40 year perspective

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Amin Mohamadi ◽  
Kaveh Momenzadeh ◽  
Aidin Masoudi ◽  
Kempland C. Walley ◽  
Kenny Ierardi ◽  
...  
Keyword(s):  
Future Research ◽  
Fe Model ◽  
Cruciate Ligaments ◽  
Fe Modeling ◽  
Meniscal Tears ◽  
Medical Subject Headings ◽  
Model Studies ◽  
The Past ◽  
Mesh Terms ◽  
Kinematic Studies

Abstract Background Knowledge regarding the biomechanics of the meniscus has grown exponentially throughout the last four decades. Numerous studies have helped develop this knowledge, but these studies have varied widely in their approach to analyzing the meniscus. As one of the subcategories of mechanical phenomena Medical Subject Headings (MeSH) terms, mechanical stress was introduced in 1973. This study aims to provide an up-to-date chronological overview and highlights the evolutionary comprehension and understanding of meniscus biomechanics over the past forty years. Methods A literature review was conducted in April 2021 through PubMed. As a result, fifty-seven papers were chosen for this narrative review and divided into categories; Cadaveric, Finite element (FE) modeling, and Kinematic studies. Results Investigations in the 1970s and 1980s focused primarily on cadaveric biomechanics. These studies have generated the fundamental knowledge basis for the emergence of FE model studies in the 1990s. As FE model studies started to show comparable results to the gold standard cadaveric models in the 2000s, the need for understanding changes in tissue stress during various movements triggered the start of cadaveric and FE model studies on kinematics. Conclusion This study focuses on a chronological examination of studies on meniscus biomechanics in order to introduce concepts, theories, methods, and developments achieved over the past 40 years and also to identify the likely direction for future research. The biomechanics of intact meniscus and various types of meniscal tears has been broadly studied. Nevertheless, the biomechanics of meniscal tears, meniscectomy, or repairs in the knee with other concurrent problems such as torn cruciate ligaments or genu-valgum or genu-varum have not been extensively studied.

scholarly journals Exploring International and Inter-Sector Differences of Social Enterprises in the UK and India

2021 ◽  
Vol 13 (11) ◽  
pp. 5870
Author(s):  
Philipp Kruse
Keyword(s):  
Social Entrepreneurship ◽  
Social Enterprise ◽  
Social Enterprises ◽  
Future Research ◽  
Shape Features ◽  
Qualitative And Quantitative ◽  
Clear Cut ◽  
The One ◽  
Definition Of ◽  
The Uk

Social Entrepreneurship (SE) describes a new entrepreneurial form combining the generation of financial and social value. In recent years, research interest in SE increased in various disciplines with a particular focus on the characteristics of social enterprises. Whereas a clear-cut definition of SE is yet to be found, there is evidence that culture and economy affect and shape features of SE activity. In addition, sector-dependent differences are supposed. Building on Institutional Theory and employing a mixed qualitative and quantitative approach, this study sheds light on the existence of international and inter-sector differences by examining 161 UK and Indian social enterprises. A content analysis and analyses of variance were employed and yielded similarities as well as several significant differences on an international and inter-sector level, e.g., regarding innovativeness and the generation of revenue. The current study contributes to a more nuanced picture of the SE landscape by comparing social enterprise characteristics in a developed and a developing country on the one hand and different sectors on the other hand. Furthermore, I highlight the benefits of jointly applying qualitative and quantitative methodologies. Future research should pay more attention to the innate heterogeneity among social enterprises and further consolidate and extend these findings.

scholarly journals Semantic Mapping for Mobile Robots in Indoor Scenes: A Survey

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 92
Author(s):  
Xiaoning Han ◽  
Shuailong Li ◽  
Xiaohui Wang ◽  
Weijia Zhou
Keyword(s):  
Mobile Robots ◽  
Semantic Information ◽  
Semantic Mapping ◽  
Human Beings ◽  
Future Directions ◽  
Essential Requirement ◽  
Semantic Map ◽  
Semantic Maps ◽  
Great Progress ◽  
Indoor Scenes

Sensing and mapping its surroundings is an essential requirement for a mobile robot. Geometric maps endow robots with the capacity of basic tasks, e.g., navigation. To co-exist with human beings in indoor scenes, the need to attach semantic information to a geometric map, which is called a semantic map, has been realized in the last two decades. A semantic map can help robots to behave in human rules, plan and perform advanced tasks, and communicate with humans on the conceptual level. This survey reviews methods about semantic mapping in indoor scenes. To begin with, we answered the question, what is a semantic map for mobile robots, by its definitions. After that, we reviewed works about each of the three modules of semantic mapping, i.e., spatial mapping, acquisition of semantic information, and map representation, respectively. Finally, though great progress has been made, there is a long way to implement semantic maps in advanced tasks for robots, thus challenges and potential future directions are discussed before a conclusion at last.

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