Mapping Of Trends Research Articles

Semiotic protocols for cultural trend analysis in strategic communication: Brand cases from the telecommunications sector

The SARS-CoV-2 pandemic strongly influenced daily practices, and this manifested in social interactions, communications and consumption. This work addresses the relations between branding and cultural trends in strategic communication and advertising in different contexts of the pandemic. First, we reviewed the concepts of branding and cultural trends. From there, it was necessary to develop a methodological proposal to articulate a connotative semiotic analysis with the semiotic square and a cultural trend mapping. The analysis was carried out through an independent and comparative reading of two-time phases: confinement (2020) and end of constraints (2022). Three telecommunications brands in Portugal act as case studies in a random and probabilistic sample of two audiovisual texts from Christmas campaigns each. Finally, a theoretical-operational triangulation is obtained between branding, cultural trends and semiotic analysis in promoting local brands that redefine spaces, social relations, and identity expression during and after the COVID-19 pandemic confinements.

Volunteer researchers in modern science: analysing “Nature” publications

The article presents a scientometric analysis of publications on citizen science, i.e., conducted with the participation of non-professional scientists, posted on the portal of the journal Nature, in order to identify the main directions and thematic trends in the field of citizen science over the last 5 years. The article identifies the key thematic clusters to which the reviewed publications belong, and analyses the thematic trends in each of the presented clusters. The search was carried out in English among the publications posted on the portal in the period from 2019 to 2023. The result is presented using computer visualisation and a table of key topics of the reviewed publications; in the future it is planned to expand the study and build a thematic map and scheme of key trends both abroad and in Russia. The analysis shows that the key topics in which volunteer researchers have been involved over the last 5 years have been environmental protection and conservation, publications on biodiversity and climate change, and data analysis in ecology. The authors note a widespread and growing interest in finding scientific volunteers to conduct research, as well as the growing role of volunteer researchers. The participation of non-professional scientists encourages a shift towards interdisciplinary research and promotes the use of different research methodologies. There are trends in the transformation of the role of volunteer researchers from the status of ordinary field researchers to full-fledged participants in research work.

Trend analysis of MODIS NDVI time series and its relationship to temperature and precipitation in Northeastern of Iran.

Vegetation plays a crucial role in providing organic matter and regulating energy exchange on the Earth's surface. This study investigates the changes in vegetation cover, temperature, and precipitation in northeastern Iran during 2001-2020. MODIS-NDVI time series data and climatic data from 11 synoptic stations were utilized. The nonparametric Mann-Kendall method was employed to detect trends in vegetation cover and climatic variables. Additionally, the correlation between climatic parameters and vegetation was examined. Trend analysis revealed significant increases/decreases in vegetation cover in 32%/26% of the region, respectively. The increasing trend in vegetation cover was predominantly observed in highlands, suggesting that a warmer climate has enhanced the living conditions for plants in these regions. The vegetation trend map indicates an expansion of vegetation cover in the northern and central parts of Iran during the past 20years, whereas the southern and eastern portions experienced declines. The relationship between vegetation and elevation revealed that vegetation increased above 1,850m and decreased below 850m. Trend analysis showed no significant trend in precipitation data since the beginning of the twenty-first century, but an increasing trend in temperature was observed in 82% of the region's area, excluding the western strip. Correlation coefficients between temperature, precipitation, and vegetation indicated that declining temperatures are the limiting factors for vegetation in the highlands, while in lowland areas, the decrease in precipitation significantly diminishes vegetation growth.

Green information technology and green information systems: science mapping of present and future trends

Green information technology and green information systems: science mapping of present and future trends

Machine Learning Method to Explore the Correlation between Fly Ash Content and Chloride Resistance.

Chloride ion corrosion has been considered to be one of the main reasons for durability deterioration of reinforced concrete structures in marine or chlorine-containing deicing salt environments. This paper studies the relationship between the amount of fly ash and the durability of concrete, especially the resistance to chloride ion erosion. The heat trend map of total chloride ion factor correlation displayed that the ranking of factor correlations was as follows: sampling depth > cement dosage > fly ash dosage. In order to verify the effect of fly ash dosage on chloride ion resistance, three different machine learning algorithms (RF, GBR, DT) are employed to predict the total chloride content of fly ash proportioned concrete with varying admixture ratios, which are evaluated based on R2, MSE, RMSE, and MAE. The results predicted by the RF model show that the threshold of fly ash admixture in chlorinated salt environments is 30-40%. Replacing part of cement with fly ash in the mixture of concrete below this threshold of fly ash, it could change the phase structure and pore structure, which could improve the permeability of fly ash concrete and reduce the content of free chloride ions in the system. Machine learning modeling using sample data can accurately predict concrete properties, which effectively reduce engineering tests. The development of machine learning models is essential for the decarbonization and intelligence of engineering.

Trend Mapping of Traditional Ceremonial Studies: Systematic Literature Review

The rising popularity of traditional rituals and ceremonies globally, including in Indonesia, has sparked interest both as heritage practices passed down through generations and as contemporary subjects of study. This article aims to provide a comprehensive overview of trends in the study of traditional ceremonies through a systematic literature review. However, the current abstract falls short of elucidating the specific criteria used to select the 200 articles. To address this, the study employed a systematic literature review approach, examining 200 scholarly articles on traditional ceremonies sourced from Google Scholar and Crossref databases spanning the years 2012 to 2022. The systematic literature review utilized the Publish or Perish application to gather metadata from Google Scholar and Crossref, with subsequent data visualization facilitated by the VOSviewer application. The outcomes of the study encompass three main findings: 1) Mapping clusters of study themes related to traditional ceremonies, 2) Identifying the network of authors whose works predominantly contribute to the field of traditional ceremonies, and 3) Uncovering gaps and novel aspects within the realm of traditional ceremony studies. While the abstract outlines these results, a more detailed elaboration is essential to enhance the overall depth and contribution of the study. Specifically, elucidating the criteria used for article selection and providing a more thorough explanation of the mapping clusters and identified gaps will significantly improve the clarity and impact of the research.

Current Update Waste to Energy in Developing Country; A Review and Bibliometric Analysis

The concept of processing waste into energy has developed in the last few decades, especially in developing countries. This paper reviews a bibliometric overview of the waste-to-energy literature and related analyzes in developing countries in the last 10 years. The research method used is quantitative with bibliometric analysis on the Scopus database. Based on this method, the number of articles analyzed was 1,880 articles in the form of journals, conference papers, and scientific reviews. There are four stages of analysis, namely determining the source title, keywords, country, and selection literature. Data analysis using a bibliometric approach found 116 articles related to Waste-to-Energy Incineration in developing countries. This study uses VOSviewer software version 1.6.19 for data complexity. The results of this study indicate that the Waste to Energy was divided into five clusters with 56 keywords. The most powerful topics related to this Waste-to-Energy are Municipal Solid Waste and Technology. Research on related waste into energy has increased in developing countries since 2004. This study found keywords such as biofuel and electricity, indicating the current trends in Waste to Energy research in the visualization of research trend mapping.

Visualization of Hot Topics and Global Trends in Community Librarianship (With an Emphasis on the Role of Public Libraries)

ABSTRACT The general subject trends and emphasized points of Community Librarianship (CL) researches are not clear. According to reviewed papers, CL encompasses a wide range of social issues. This dispersion and diversity require presenting a comprehensive map of the thematic trends. The present study showed the concept of “social capital” is the underlying base for the literature of CL, which is the outcome of dialogue and interactive space of libraries. Also, historically, the related publications can be classified into five categories: 1) promoting the democratic culture and training informed and participating citizens 2) improving e-government; 3) library as a place for creating social capital; 4) sharing consumer health information; and 5) natural crises and disasters. The results of this study can show and reflect the “common good” of public libraries, that can effectively provide insight for librarians, attract policymakers’ support, and maintain the position and future of these libraries.

Halal and Islamic tourism: science mapping of present and future trends

Purpose This study aims to provide a comprehensive and systematic review of halal tourism structure using bibliometric analysis. Halal tourism interest has increased due to the high demand for tourism products adhering to Shariah law. Furthermore, the vast Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Design/methodology/approach A network visualization through bibliographic coupling and co-word analysis, this review presents a science mapping analysis to reveal the knowledge structure of emerging and future trends in halal tourism. Findings The current and emerging trends demonstrate three themes: the fundamentals of halal tourism, communication via word of mouth in halal tourism and Muslim tourist satisfaction and loyalty. At the same time, the co-word analysis presents the four themes primarily associated with halal tourism challenges: tourist satisfaction, service quality and Muslim travellers’ attraction. Research limitations/implications The findings serve as crucial implications, contributing to halal and general tourism theory and application. Originality/value This review serves as crucial fundamental knowledge for future studies in halal tourism and its relevant themes for further development in tourism management. The most significant emerging theme in halal tourism is the intervention needed to increase Muslim tourist satisfaction and loyalty through halal-friendly service, customer-service quality, foods and beverages, facilities and privacy. The co-word analysis suggests increasing tourists’ engagement in halal tourism by invigorating the religiosity domain among tourists, improving service quality and perceived value and discovering new Muslim-friendly attractions. The most crucial finding from this study is to ensure that halal and Muslim-friendly tourism are at the same level, to the extent of better service according to Islamic practice. This approach would elevate the value and status of halal tourism as a trending product in Muslim and non-Muslim markets.

Glowing and flaming autoignition of wood exposed to coupled convective and radiative heating

Autoignition of solid fuels driven by coupled convective and radiative heating is frequently encountered in fires, whereas its controlling mechanism is rarely revealed. To challenge this issue, autoignition tests of 5 and 15 mm thick cylindrical wood samples were conducted using a newly developed apparatus enabling coupled convective and radiative heating. The total heat flux imposed on wood was maintained at 25 kW/m2, while the fractions of the two heating components changed as the airflow velocity and temperature varied in the ranges of 0–1.51 m/s and 298–473.3 K. Glowing ignition occurred in all scenarios except for one case due to enhanced heat loss and declined radiative heating. Flaming ignition was observed in all conditions except for 298 K airflow temperature. Four stages were identified during flaming combustion: a preheating and deformation stage, a glowing combustion stage, a coupled glowing and flaming combustion stage, and an extinction stage. Compared to 5 mm samples, the surface temperature rise of 15 mm wood was significantly delayed due to its thermally thick nature. By fitting experimental data, a new formula was proposed to correlate glowing ignition temperature with radiative heat flux, airflow velocity, and airflow temperature. Both glowing and flaming ignition times were affected by airflow and radiative heating in a complex manner, and their values to the power of −0.5 approximately linearly depended on radiative heat flux. Damköhler number and nondimensional heat loss ratio were employed to quantitively analyze the flaming ignition propensity. Meanwhile, an ignitability trend map identifying the flaming and non-flaming ignition regimes was drawn.

Fraudulent Financial Reporting: How far has it been Researched?

This study aims to determine the development and trend map of fraudulent financial reporting research that is published by a reputable journal in the theme of economics and finance. The data analyzed were more than 91 publications of indexed research publications. The export data is then processed and analyzed using the R Biblioshiny application program to find out the bibliometric map of the development of the research in this topic. The results showed that the number of publications on the fraudulent financial reporting research experienced a significant increase. The results show that the most popular authors are Groove H and Carcello JV, and the most popular keyword topics are Financial, Reporting, and Fraudulent. Apart from that, there are several trend topics related to fraudulent financial reporting.

Bibliometric analysis and scientific mapping of research trends on ‘digital divide’

Purpose With the aid of bibliometric analysis, this study aims to show the state-of-the-art of research on the digital divide and identifies new areas for further investigation. Design/methodology/approach Performance analysis and science mapping were used in the study to analyse a sample of 3,571 studies that were published between 2018 and 2022. The “Title-Keyword-Abstract” search option was used to collect the anticipated publications data from the Scopus database. The gathered data were analysed using the common bibliometric indices to evaluate the research landscape. The science mapping tactics made use of the VOSviewer and Biblioshiny software. Findings The performance and science mapping analysis shows that recent research on the digital divide has not been sufficiently exposed and examined. The analysis discovered emerging topics, prolific authors and nations, affiliations, a network of collaboration among authors, countries and institutions, bibliographic coupling and keyword co-occurrence. Originality/value This work presents a state-of-the-art that has significant theoretical and practical ramifications for the existing digital divide literature. The methodologies and database used in the current study are more extensive.

Global bibliometric mapping of the research trends in artificial intelligence-based digital pathology for lung cancer over the past two decades.

The rapid development of computer technology has led to a revolutionary transformation in artificial intelligence (AI)-assisted healthcare. The integration of whole-slide imaging technology with AI algorithms has facilitated the development of digital pathology for lung cancer (LC). However, there is a lack of comprehensive scientometric analysis in this field. A bibliometric analysis was conducted on 197 publications related to digital pathology in LC from 502 institutions across 39 countries, published in 97 academic journals in the Web of Science Core Collection between 2004 and 2023. Our analysis has identified the United States and China as the primary research nations in the field of digital pathology in LC. However, it is important to note that the current research primarily consists of independent studies among countries, emphasizing the necessity of strengthening academic collaboration and data sharing between nations. The current focus and challenge of research related to digital pathology in LC lie in enhancing the accuracy of classification and prediction through improved deep learning algorithms. The integration of multi-omics studies presents a promising future research direction. Additionally, researchers are increasingly exploring the application of digital pathology in immunotherapy for LC patients. In conclusion, this study provides a comprehensive knowledge framework for digital pathology in LC, highlighting research trends, hotspots, and gaps in this field. It also provides a theoretical basis for the application of AI in clinical decision-making for LC patients.

Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells

For the safe and reliable operation of battery-driven machines, accurate state-of-charge (SOC) estimations are necessary. Unfortunately, existing methods often fail to identify patterns relevant to long-term SOC estimation due to complex battery cell characteristics such as aging. In this paper, we propose the Uncorrelated Sparse Autoencoder with Long Short-Term Memory (USAL). USAL is a novel neural network that addresses the challenging task of long-term SOC estimation given a limited initial history of a cell’s charge-discharge behavior. USAL uses a multi-task learning strategy to harness the advantages of sparse autoencoders and Long Short-term Memory (LSTM) networks by enforcing correlation penalties. The USAL simultaneously learns to (i) generate a latent space of informative SOC encodings from commonly measured cell characteristics, (ii) penalize for high multicollinearity between encodings, and (iii) identify non-trivial long and short temporal correlations between the encodings using LSTM cells. USAL outperforms benchmarked models in our experiments when trained on five initial charge-discharge cycles across multiple battery cells using three publicly available accelerated aging datasets. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper proposes USAL, a custom-built deep neural network to address the challenging task of long-term SOC estimations in battery cells. Long-term SOC estimation involves estimating SOC for cycles near End-Of-Life (EOL) given some initial charge-discharge cycles. Three fundamental steps involved in long-term SOC estimations using USAL are (i) exploiting a multi-task learning strategy to learn efficient encodings given limited training data, (ii) penalizing these encodings for high correlations to efficiently transform measured inputs into a space of informative features, and (iii) mapping of aging-related trends to support long-term SOC estimations. USAL is designed to be a data-driven SOC estimation method that is (i) capable of alerting the user to a faulty cell when integrated into a real-life Battery Management System (BMS) and (ii) identifying the relative quality of a battery cell from only a few initial charge-discharge cycles.

Bibliometric Mapping of Trends of Project-Based Learning with Augmented Reality on Communication Ability of Children with Special Needs (Autism)

Autistic children have the right to education. Education helps them develop their communication skills. Using a project-based learning model can improve communication skills. Currently, there is a lot of research discussing the use of project-based learning for children with special needs. Therefore, this study aims to analyze the use of project-based learning with augmented reality on the communication skills of autistic children. The method used is a systematic literature review and theoretical bibliometric analysis of research on communication skills of children with autism sourced from Scopus from 2013 to 2022. The research stages are determining i) research questions; ii) inclusion criteria; iii) quality assessment; iv) data collection; and v) bibliometric analysis. The results of this research note that research on the communication skills of autistic children is still a research trend that is of great interest to researchers with an increase in research occurring from 2015 to 2022. Countries in the Americas and Asia contributed the most to research on this research theme. There is a relationship between project requirements (P), communication skills (CS), and autism spectrum disorder (ASD). This relationship is indicated by the strength of the P→CS link of 2 and the strength of the CS→ASD link of 4. This review shows that the characteristics of project-based learning can help train the level of communication skills of autistic children and will be better if assisted by the use of AR

Analisis Bibliometrik Tren Topik Penelitian pada Artikel Ilmiah Dosen Fakultas Rumpun Kesehatan Universitas Padjadjaran Tahun 2016 – 2020

Knowledge mapping in the field of health science is very important to do because it helps the lives of many people. The large number of scientific articles published by Universitas Padjadjaran lecturers in the health sector has not been accompanied by mapping of research topic trends. The aim of this research is to determine trends in research topics in scientific articles by lecturers at the Faculty of Health, Universitas Padjadjaran and to determine the position of research topics that have been conducted on health topics in the world and in Indonesia. The research method used is the bibliometric method with a quantitative approach using Co-word analysis based on the presence of keywords available in each scientific article. The research results show that the trend of research topics in scientific articles by health faculty lecturers in 2016-2020 is Children, Knowledge, and Breast cancer. The research focus of health faculty lecturers in 2016-2019 was on the health of children, women or mothers, and adolescent health, then the research focus shifted in 2019-2020, namely regarding the Covid-19 virus. A small number of research topic trends carried out by health faculty lecturers are in line with world and Indonesian health topics according to the World Health Organization. Trends in research topics and research topics that are still little discussed can become references and recommendations for further research in the health sector.

Bibliometric Analysis of the Trend of Sociology of Communication Research Topics

Bibliometric analysis can provide extensive data mapping of previous research topic trends to formulate subsequent research topics. There is still a lack of bibliometric analysis of trends in sociology of communication research topics. The study used bibliometric analysis of 37,999 publications in ScienceDirect over three periods. Publication data was selected using the keyword "sociology of communication." Data processing was conducted by co-occurrence between keywords and data presentation with overlay visualization. The results of data processing with VosViewer revealed shifts in research topics over three periods. Topics that emerged after 2022 are related to Covid-19 pandemic, such as healthcare, resilience, stress, and vaccine hesitancy; methodologies like systematic literature review; recent technologies such as artificial intelligence; and other societal concerns, including sustainability. That topic was suggested for future research. However, sustainability and systematic literature review are old issues in other research fields. The research found that the sociology of communication research topics is changing dynamically and is influenced by social phenomena such as pandemics and technological advancements. The presence of two recent topics that have become old issues in other fields of social research shows the challenge for communication scientists to respond responsively to global social and methodological issues.

Scientific mapping of hotspots and trends of post and core research based on the Web of Science: A bibliometric analysis

Statement of problemPost and core (PC) restoration has been widely used to restore endodontically treated teeth. Nevertheless, bibliometric studies focusing on PC research are lacking. PurposeThe purpose of this bibliometric analysis was to review the general situation and determine the research direction of PC restoration by means of visualization, including the time development, countries, institutions, authors, journals, research categories, and the information of references with the strongest citation burst. Material and methodsThe search was carried out within the topic field of the Web of Science (WoS) database. CiteSpace, VOSviewer, and R language were used to analyze the literature. Bibliometric indicators in terms of title, keyword, reference, publication time, institution, country and citation information were analyzed. ResultsBetween 1966 and 2022, dental research on PC trended upward, especially in 2011 and up to 2022. Scholars in Brazil, the United States, and Italy actively participated in PC research. The country that published the most was Brazil. Italy both ranked first in the H-index and average citations per item and had cooperative relations with several countries. The United States ranked first in the world in total citation count. The University of Siena published the most articles. The Journal of Prosthetic Dentistry (JPD) was the major contributing journal. The top three authors in this field were Ferrari M, Goracci C and Naumann M. The largest cooperative network of authors consisted of four Italian scholars. There were six main clusters of research topics on PC through CiteSpace co-citations. In addition, CiteSpace co-citations, CiteSpace Burst detection and VOSviewer keyword analysis showed the most important research interests, such as bond strength, fiber post, fracture resistance, and finite element analysis. Photodynamic therapy is the latest research hotspot. Finally, there were the top 25 references with the strongest citation bursts, which mainly focused on four aspects, namely, studies related to fiber posts, PC bonding strength, finite element analysis, and residual teeth and the ferrule effect. ConclusionsThis bibliometric analysis provides a comprehensive overview of PC research, including the research time, country, institution, author, journal, article clustering, article keywords, and important literature analysis, so that researchers can have a clear understanding of the research situation in this field.

Waqf on Health: A Bibliometric Review using R

This study aims to determine the development and map of research trends with the theme waqf on health published by well-known journals. The data used in this study were 42 indexed research publications with the theme waqf on health in the period 1994-2020. The map of research development in the field of waqf on health is obtained through the export process which will be processed and analyzed using the R Biblioshiny application program. The results showed that the number of waqf on health research publications experienced a development trend with a stagnant increase. Besides, the results show that the journal with the most publication and impact is the Journal of Islamic Accounting and Business Research. The country that contributes the most to waqf on health research is Malaysia. The results of this study also indicate that the most widely used topic keywords are Waqf, Islamic, Case, and Malaysia.

Islamic Economics and Finance: Trend Topics and Thematic Evolution

This study aims to determine the development and trend map of research on the theme of Islamic Economic and finance published by reputable journals. The data used in this study are 2498 public indexed research on the theme of Islamic Economic and finance in the period 1976 to 2021. The map of research development in the field of Islamic Economic and finance is obtained through an export process which will be processed and analyzed using the R Biblioshiny application program. This study shows the results that the number of publications on the development of Islamic Economic and finance research has increased significantly. In addition, the results show that the journal that publishes the most and has the greatest impact on Islamic Economic and finance research is the Journal of Islamic and Middle Eastern Finance and Management. The author with the longest publication track record is Wilson R while the author with the highest quantity of publications is Hassan MK. The educational affiliation that has the most and relevant publications is International Islamic University Malaysi. The results also show that the most used topic keywords are Islamic, Finance, Banking, and Financial.