scholarly journals BIG DATA IN CIVIL ENGINEERING: A STATE-OF-THE-ART SURVEY

2016 ◽  
Vol 8 (4) ◽  
pp. 165-175 ◽  
Author(s):  
Oleg Kapliński ◽  
Natalija Košeleva ◽  
Guoda Ropaitė

Data generation has increased drastically over the past few years. Data management has also grown in importance because extracting the significant value out of a huge pile of raw data is of prime importance while making different decisions. This article reviews the concept of Big Data. The Thomson Reuters Web of Science Core Collection academic database was used to overview publications that contained “BIG DATA” keywords and were included in Web of Science Category under “Engineering”. The analysis of publications was made according to year, country, journal, authors, language and funding agency.

2016 ◽  
Vol 7 (3) ◽  
pp. 103-113 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė ◽  
Oleg Kapliński

For several decades, multi-criteria decision-making (MCDM) methods have been in use to address issues particular to design, organisation and management of constructions. This article reviews the history of MCDM methods since their origins to current times. The academic database Thomson Reuters Web of Science Core Collection was used to overview publications that contain keyword “MCDM” and are included in Web of Science Category “Engineering Civil”. The analysis of publications was made according to their year, state, journals and used MCDM methods.


Tourism ◽  
2020 ◽  
Vol 68 (2) ◽  
pp. 156-169 ◽  
Author(s):  
Medéia Veríssimo ◽  
Michelle Moraes ◽  
Zélia Breda ◽  
Alan Guizi ◽  
Carlos Costa

This paper aims at examining how overtourism and tourismphobia are being approached as emergent research topics in current tourism literature. It conducts an analysis of 154 documents, indexed in the Web of Science (WoS) Core Collection and Scopus databases. The study follows a quantitative and qualitative approach, with the support of VOSviewer and HistCite softwares for a descriptive content analysis. The analysis focuses on highlighting important aspects in terms of the most frequent publication sources (authors and journals); co-citation, as well as dimensions and research streams; methodologies used; results obtained; and implications for future research. The literature review unveiled that the concepts of overtourism and tourismphobia are usually related to destinations’ development, negative impacts, and tourism policies and regulation. Results show that, although tourism excesses and conflicts have been studied for long, ‘overtourism’ and ‘tourismphobia’ have become usual terms, mainly within the past three years. Even though the adoption of the terms can be considered by some as a ‘trend’, the in-depth analysis of the topics shed light on how ‘old’ concepts can evolve to adapt to contemporary tourism issues. Further studies are needed in tracking the evolution of these topics and their implications on the future of tourism.


Author(s):  
Oscar D. Sánchez ◽  
Manuel E. Mendoza ◽  
Teodoro Carlón-Allende ◽  
José Villanueva-Díaz

Dendroclimatology has gained relevance during the XXI century. We analyze the state of-the-art of dendroclimatology in Latin America during the past 28 years (1990 to 2019), identifying the current state and recent advances in the application of dendroclimatology in this region. We carried out a systematic review in ScienceDirect, Web of Science, and Scopus databases using Boolean operators to logically connect the keywords “dendrochronology,” “dendroclimatology,” “trend,” “climatic variability,” and “climatic variability trend”, for each country. Dendroclimatological research conducted in the region focused on climatic reconstruction and the evaluation of new tree species with dendrochronological potential, which increase in 2010, then there was a gap between 1995 and 1996, later increase to present. Dendroclimatological studies in Latin America have been mainly developed in temperate climate zones (82.4 %) followed by tropical or subtropical areas (17.6 %). Dendroclimatological research in Latin America has provided advances in the study of climate variability by defining response functions of tree rings to climate. The generated information allows for a better understanding of the spatial and temporal dynamics of climatic variability and about its effects on ecosystems and society. We also call for increased dendroclimatological research based on subtropical and tropical forests limited studied until today.


2020 ◽  
pp. 109634802092653
Author(s):  
José Luis Ruiz-Real ◽  
Juan Uribe-Toril ◽  
Jaime de Pablo Valenciano ◽  
Juan Carlos Gázquez-Abad

This work represents a contribution by showing the state of the art of research on rural tourism and development, identifying trends and proposing future lines and topics of research. Rural tourism and its influence on the economic development of rural areas has been an important and dynamic area of research since 2004. For this purpose, a quantitative bibliometric analysis of the 892 documents related to this topic contained within the Web of Science Core Collection has been carried out. Results show that studies on rural tourism mainly focus on Spain, Romania, and China. However, the most prolific authors are from Portugal, China, the United Kingdom, and the United States. There is a notable lack of studies focused on countries in Africa, Asia, and Latin America, mainly due to political and religious factors. Rural tourism is also an important and emergent sector, particularly in countries like Romania and China.


Author(s):  
Vijander Singh ◽  
Amit Kumar Bairwa ◽  
Deepak Sinwar

In the development of the advanced world, information has been created each second in numerous regions like astronomy, social locales, medical fields, transportation, web-based business, logical research, horticulture, video, and sound download. As per an overview, in 60 seconds, 600+ new clients on YouTube and 7 billion queries are executed on Google. In this way, we can say that the immense measure of organized, unstructured, and semi-organized information are produced each second around the cyber world, which should be managed efficiently. Big data conveys properties such as unpredictability, 'V' factor, multivariable information, and it must be put away, recovered, and dispersed. Logical arranged data may work as information in the field of digital world. In the past century, the sources of data as to size were very limited and could be managed using pen and paper. The next generation of data generation tools include Microsoft Excel, Access, and database tools like SQL, MySQL, and DB2.


2017 ◽  
Vol 2 (4) ◽  
pp. 328-345 ◽  
Author(s):  
G. Vargas-Solar ◽  
J. L. Zechinelli-Martini ◽  
J. A. Espinosa-Oviedo

2016 ◽  
Vol 71 ◽  
pp. 151-166 ◽  
Author(s):  
Aisha Siddiqa ◽  
Ibrahim Abaker Targio Hashem ◽  
Ibrar Yaqoob ◽  
Mohsen Marjani ◽  
Shahabuddin Shamshirband ◽  
...  

2021 ◽  
Vol 28 ◽  
pp. 107327482198931
Author(s):  
Tianyu Wu ◽  
Xiaoqing Jiang ◽  
Xin Zhang ◽  
Bodeng Wu ◽  
Bin Xu ◽  
...  

Objective: Intrahepatic cholangiocarcinoma (iCCA), the second most common type of primary liver tumor, has an increasing incidence in the past few decades. iCCA is highly malignant, with a 5-year survival rate of approximately 5-10%. Surgical resection is usually the prescribed treatment for patients with early stage iCCA; however, patients are usually in an advanced stage iCCA upon diagnosis. Currently, targeted therapy combined with chemotherapy and other comprehensive treatment measures have been mainly adopted as palliative treatment measures. As a common candidate of targeted therapy, FGFR inhibitors have demonstrated their unique advantages in clinical trials. At present, the prospect of FGFR targeted therapy is encouraging. The landscape of FGFR inhibitors in iCCA is needed to be showed urgently. Methods: We searched relative reports of clinical trials on FGFR inhibitors in PubMed as well as Web of Science. We also concluded other available clinical trials of FGFR inhibitors (Data were collected from clinicaltrials.gov ). Results: Several relatively effective targeted drugs are being used in clinical trials. Some preliminary results indicate the outlook of targeted therapy such as BGJ398, TAS120, and HSP90 inhibitors. Conclusions: In summary, FGFR targeted therapy has broad prospects for the treatment of iCCA.


Author(s):  
Ramin SALOUTI ◽  
Roghayeh GHAZAVI ◽  
Sattar RAJABI ◽  
Mohammad ZARE ◽  
Mohammadreza TALEBNEJAD ◽  
...  

Background: We aimed to use the scientometric approach to evaluate immunological studies on the subject of sulfur mustard over the past 20 years. Methods: In this scientometric study, the Web of Science Core Collection was searched on the studies about sulfur mustard. The published papers related to the field of immunology were retrieved from these papers. HistCite software and VOSviewer were the applied software packages for bibliometric analysis, information visualization, and creating bibliometric networks. Results: Over the past 20 years, 741 researchers from 22 countries have published 201 scientific papers in 95 journals. Iran and the United States with 93 and 68 published articles ranked at the top. The Journal of International Immunopharmacology, with 33 published papers, 439 Total Global Citation Score (TGCS), and 105 Total Local Citation Score (TLCS) was the most productive and most influential in this regard. The paper entitled "Biomonitoring of exposure to chemical warfare agents: A review" and another paper entitled "SardashtIran Cohort Study of Chemical Warfare Victims: Design and Methods" were the most influential papers in this topic with 200 TGCS and 27 TLCS, respectively. The most productive and the most influential centers were “Immunoregulation Research Center of Shahed University” and “The Janbazan Medical and Engineering Research Center (JMERC),” respectively. Conclusion: The result of our report as the unique scientometric evaluation of the research on sulfur mustard and Immunology can be used as a roadmap for authors, researchers, and policymakers to define the best ways to allocate their financial and executive resources.


2021 ◽  
Vol 50 (2) ◽  
pp. 18-29
Author(s):  
Christos Doulkeridis ◽  
Akrivi Vlachou ◽  
Nikos Pelekis ◽  
Yannis Theodoridis

In the current era of big spatial data, the vast amount of produced mobility data (by sensors, GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to mobility analytics. A cornerstone facilitator for performing mobility analytics at scale is the availability of big data processing frameworks and techniques tailored for spatial and spatio-temporal data. Motivated by this pressing need, in this paper, we provide a survey of big data processing frameworks for mobility analytics. Particular focus is put on the underlying techniques; indexing, partitioning, query processing are essential for enabling efficient and scalable data management. In this way, this report serves as a useful guide of state-of-the-art methods and modern techniques for scalable mobility data management and analytics.


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