Topic Title Research Articles

Automatic Topic Title Assignment with Word Embedding

AbstractIn this paper, we propose TAWE (title assignment with word embedding), a new method to automatically assign titles to topics inferred from sets of documents. This method combines the results obtained from the topic modeling performed with, e.g., latent Dirichlet allocation (LDA) or other suitable methods and the word embedding representation of words in a vector space. This representation preserves the meaning of the words while allowing to find the most suitable word that represents the topic. The procedure is twofold: first, a cleaned text is used to build the LDA model to infer a desirable number of latent topics; second, a reasonable number of words and their weights are extracted from each topic and represented in n-dimensional space using word embedding. Based on the selected weighted words, a centroid is computed, and the closest word is chosen as the title of the topic. To test the method, we used a collection of tweets about climate change downloaded from some of the main newspapers accounts on Twitter. Results showed that TAWE is a suitable method for automatically assigning a topic title.

The emerging importance of NAD+ metabolome for nutrition and food sciences: A bibliometric analysis

NAD+ is crucial for cellular balance in all organisms. Recent interest has focused on its metabolism. Deficiency-related issues can be countered using NMN and NR, potential therapies available through diet or supplementation. These compounds are emerging as nutraceuticals and bioactive food elements. Bibliometric analysis was used to study the scientific output and impact of research on the NAD+ metabolome. For this, the terms “nicotinamide adenine dinucleotide” or “NAD+” or “NAD+ precursors” or “nicotinamide riboside” or “nicotinamide mononucleotide” were searched in the topic title in The Web of Science™ database. Only original articles and articles review were considered. VOSviewer was used for constructing and visualizing the bibliometric networks maps. A total of 10,568 papers were published, with a consistent increase in the number of publications, especially over the last decade. Biochemistry molecular biology, biophysics, cell biology, chemistry multidisciplinary and microbiology were the top 5 field research in the subject. The majority of the publications came from the ‘Journal of biological chemistry’ and ‘Biochemistry’ journals. The prominent research topics included longevity, sirtuins, NAD+ precursors, oxidation and reduction reactions, enzymes, microbial biotechnology, cancer therapy, and crop science. Finally, a guide for future investigation in nutrition and food sciences areas was proposed, which holds immense potential for developing innovative strategies to enhance food quality, promote optimal nutrition, and explore new avenues for improving human health. To our knowledge, this is the first bibliometric analysis of NAD+ metabolome, which can provide valuable insights into the research landscape in this multidisciplinary rapidly growing field.

Research focuses and trends in third molar: A bibliometric analysis

AbstractAimThe authors conducted a bibliometric analysis to quantitatively assess the current research trend, performance and focus over the last 30 years in third molars surgery.Materials and MethodThe data used in this study comes from the Clarivate Analytics Web of Science Core Collection, the online version of the Science Citation Index Expanded (SCI‐EXPANDED) (data updated on 22 March 2022). The extraction was conducted according to TOPIC (title, abstract, author keywords and KeyWords Plus) from 1991 to 2020.ResultsDuring a period of 30 years, a total of 6569 publications were found within 15 document types published in SCI‐EXPANDED. Article types (88%) were published mostly frequently and had the most citations per publication, followed by review articles (3.9%). The top three publication countries were the USA, Brazil and the UK. Forty‐four percent of the articles were inter‐institutionally collaborative articles. Twenty percent of the articles were internationally collaborative articles. The most productive institutes over the past three decades have been the University of São Paulo (Brazil), followed by the University of Campinas (Brazil) and the University of North Carolina (USA). Keywords can be considered very helpful in article dissemination.ConclusionThe present bibliometric analysis showed that articles published by international collaborative authors had the highest citations and there was no association between the number of citations and the quality of published articles on third molars. Identifying future research directions based on a bibliometric analysis of the characteristics of available literature in a field reduces the error margin and thus improves decision‐making.

Mapping themes, trends, and knowledge structure of Behcet syndrome: a bibliometric analysis from 2010 to 2021

ABSTRACT This study employed bibliometric analysis to examine the current literature on Behcet Syndrome, an autoimmune disorder with complex pathophysiology and inadequate therapeutic options. The researchers collected 3,462 publications related to Behcet Syndrome from 2010 to 2021 via PubMed and conducted co-word and social network analyses to identify research hotspots and potential future directions. The co-word analysis produced a bibliographic data matrix, which revealed 72 high-frequency medical topic title (MeSH) terms. Using repeated dichotomy in the gCLUTO software, the researchers created a visualization matrix that classified the hot topics into six categories over the 12-year study period. The first quadrant contained six mature and well-developed research topics, including biological therapy, immunosuppressive agents, clinical manifestations, complications of Behcet Syndrome, Behcet Syndrome diagnosis, and aneurysm etiology and therapy. The third quadrant comprised four research topics with potential for growth, including Behcet Syndrome genetics and polymorphism, immunosuppressive agents, biological therapy and heart diseases, and thrombosis etiology. The fourth quadrant encompassed the pathophysiology of and quality of life in Behcet Syndrome as well as psychology. In the social network analysis, the researchers identified potential hotspots based on subject keywords close to the network’s edge. These included genetic association studies, antibodies, genetic predisposition to disease/genetics, and monoclonal and humanized therapeutic use. Overall, this study’s bibliometric analysis of Behcet Syndrome literature from the past 12 years identified unexplored subjects and developing hot spots that could lead to potential research directions for Behcet Syndrome.

YOUTUBE AS A SOURCE OF INFORMATION ON PORCELAIN LAMINATE VENEERS

Objective of work: This study aimed to evaluate the content and usefulness of YouTube videos on porcelain laminate veneers. Materials and Methods: The keyword porcelain laminate veneer was searched on YouTube. The first 200 videos were scanned. After exclusions, 79 videos were assessed for the content presented in 8 topic titles for porcelain laminate veneers. Videos were classified as poor (0), moderate (1), and excellent (2) based on the usefulness score. A general video assessment included length of the video, number of views, comments, likes, dislikes, and days since upload was completed. Videos were categorized according to their type: educational, patient’s experience, and scientifically erroneous. The source of the uploaded videos was classified into three groups: professionals (dentist, specialist), health companies, and individual users. Data were analyzed with the Kruskal-Wallis, Post hoc-Dunn, and chi-square tests (p ˂ .05). Results: The average usefulness score was 0.544. It was found that the length of the video and the number of comments were significantly higher in the excellent videos than in poor videos (p=.030 and p=.019, respectively). There was no significant difference between the usefulness score and the source of upload (p=.426) or the type of video (p=.819). The most discussed topic title was procedures of porcelain laminate veneer (32.86%), while the least discussed topic title was contraindications (3.81%). Conclusion: YouTube appears to be an incomplete source of information about porcelain laminate veneers for patients. 

Crossing unlikely paths in science.

Crossing unlikely paths in science.

Automatic Topic Title Predicting from News Articles Using Semantic-Based NMF Model

Automatic Topic Title Predicting from News Articles Using Semantic-Based NMF Model

A systematic review and meta-analysis on transvaginal ultrasonography in the diagnosis of deep invasive endometriosis.

The uterus is prone to many diseases, including endometriosis. Transvaginal ultrasonography (TVS) has become a frequently used detection method for deep invasive endometriosis (DIE). The combinations of relevant keywords and medical topic title terms were searched in the databases of PubMed, Medline, and Embase, and the Cochrane Central Register of Controlled Trials (endometriosis) from their inception to June 2021. Based on the descriptive terms of endometriosis, deep infiltrating endometrium, heterotopia, deep endometriosis, ultrasound, and TVS, the full texts of the target articles were obtained and subjected to a manual search. Meta-analysis was performed using RevMan 5.3 software provided by the Cochrane collaboration. A total of 12 articles were included in this study, involving 1,707 patients overall. The sensitivity range was 0.57 to 0.98, and the specificity range was 0.87 to 1.00. The positive likelihood ratio (PLR) was 6.2282 [95% confidence interval (CI): 3.774 to 8.932]; the negative likelihood ratio (NLR) was 0.0664 (95% CI: 0.03 to 0.09); and the duration of remission was 1,174.7 (95% CI: 683.8 to 1,793.4). The sensitivity, specificity, PLR, NLR, and diagnostic odds ratio (DOR) of χ2 were 36.10 (P=0.021), 27.00 (P=0.035), 53.11 (P=0.001), 55.22 (P=0.001), and 63.89 (P=0.001), respectively, and the differences were statistically significant. A total of 12 articles were included in this meta-analysis, and the results were basically stable. Diagnosis with TVS showed high sensitivity (98%) and specificity (nearly 100%), indicating that it is a reasonable detection method for DIE, improving the disease status of patients.

Beginning Reading Ability Using the Method Synthetic Structural Analytics (SAS)

This study aims to describe a literature review on early reading skills using the method synthetic structural analysis (SAS)in grade 1 students at Madrasah Ibtidaiyah Negeri 2 Langkat. This study uses a qualitative research method with a literature review approach. The research stages were carried out by means of article collection, article reduction, article display, discussion and conclusion. Sources of research data are international and national journal articles in 2015-2021. The results showed that from 25 articles, 13 articles were found that matched the topic title. Beginning reading skills using the methodsynthetic structural analysis (SAS)in grade 1 students at Madrasah Ibtidaiyah Negeri 2 Langkat, the implementation is in accordance with the theories that have been used as references. Beginning reading skills using the methodsynthetic structural analysis (SAS)in grade 1 students at Madrasah Ibtidaiyah Negeri 2 Langkat can increase student activity and learning outcomes.

Moving from consciousness

This past fall semester, I had the idea to lead a small group of graduate students in offering a First Year seminar for new computer science and informatics majors that focuses on ethics. Feeling clever, I themed our sections: "What makes a 'good' computer scientist?" Together, my students and I taught nine sections under this label. It was a learning experience teaching this one-credit course alongside this brilliant group of MS and PhD students, two of whom had been in my undergrad courses previously. We learned very quickly that right now, in our large public university, in our fairly well-funded state, that our first-year students' primary concern was finding a good job. Many selected our seminar because they thought it was going to be about how to make them the best - how to set themselves up to have the best chance at economic success after college. While we were initially surprised at how these first-year students defined our seminar topic title, it makes sense that they would see being 'good' as being best evidenced by achieving financial success.

Group Decision Making for Hazard Analysis and Consequence Modelling Software Selection with AHP

Software evaluation and selection have begun to be addressed as a topic title along with the fact that microcomputers and then personal computers have become widespread and have been used in the operations of businesses. In this study, it was focused on the selection of software for identifying the physical effect distances of the explosion, fire, and toxic emission, which is an important need for industrial institutions containing, using or storing hazardous chemicals. The evaluation and selection of software for the Hazard Analysis and Consequence Modeling (HACM) of potential accidents was studied at first. In means of methodology, questionnaires consisting of original questions were applied to the experts. The results obtained from questionnaires according to the Likert scale, were converted into Analytical Hierarchy Process (AHP) suggestion matrices. In this way, the inconsistency problem in the pairwise comparison matrices was eliminated. As a result, evaluation and selection were made among the HACM software.

The most influential articles in Helicobacter pylori research: A bibliometric analysis.

The number of articles that researchers must be familiar with is increasing, along with the importance of selective searching and summarization. This study aimed to assess and characterize the most influential articles in Helicobacter pylori research. We performed a search of the top-100 cited articles using the Web of Science Core Collection (WoSCC) and Google Scholar from their inception to 2018. The top-100 Altmetric Attention Score (AAS) articles based on online media mentions were also searched using the term Hpylori. Each article was evaluated for the following characteristics: citation number, title, journal, publication year, and authorship. The citation number for the top-100 WoSCC articles ranged from 44 to 367. Gut published the largest number of articles (11%). In the top-100 Google Scholar articles, Lancet had the largest number of articles (13%); however, among the top-1000 cited articles published after 2012, Helicobacter published the largest number (46%). The largest number of top-100 AAS articles was published by PLOS Pathogens (6%). PubMed Central articles' citations in WoSCC or Google Scholar showed significant correlation with those from each metric; however, AAS showed no correlation. The proportion of basic research was 36%-37% in top-cited articles; but, 52% in the top-100 AAS articles. No time trend in the number of publications or citations of basic/clinical research in the top-100 bibliometrics was found. "Meta-analysis/systematic review," "gastric cancer," "eradication," and "association" were the most influential title words. This study presents a detailed list of top-100 articles, journals, authors, and topic title words.

Challenges of Teaching English Communication to Arabic Students

The present study carries out to investigate and identify the communication problems that affecting the Teaching / Learning process of ELT. It aims to help teachers and learners to know the cause of these problems and to use and practice (IPA) in English pronunciation. It also sheds light on the most common mistakes of English sounds in relation to their spellings. That the teacher’s knowledge of these errors makes him /her, able to avoid them. The researcher investigates the topic title: Challenges of teaching communication to Arab students. As a type of problems affecting the Teaching /Learning process of ELT. She follows an experimental design method to achieve this purpose. The subjects for the study were undergraduate students from University of Majmaah (Hotat Sudair College of Science and Humanities for girls). With the sample of two groups of fifty students of the same sex, standard, number, and degree of education. A case study in Hotat Sudair College for girls, to collect data from the subjects by observation through an oral test and statistical analysis. The study arrives at the following results: Only 13% of students care for segmental phonemes. Only 21% of students care for the correct pronunciation of words. Few learners use dictionaries to check English words’ sound in their daily presentations. On the other hand, care for transcriptions of sounds when speaking. Many students lack the basics that are supposed to be learned for acceptable pronunciation then mispronounce words. Then the researcher suggests some steps. She also finds new ideas for further investigations to improve the teaching/learning process and to achieve the aims of English communication.

How do entrepreneurs learn and engage in an online community-of-practice? A case study approach

ABSTRACTThis paper investigates the ways in which entrepreneurs use communities of practice (CoPs) to express themselves, using narrative theory and rhetorical analysis, to gain insight into an electronic social network medium, namely, YoungEntrepreneur.com. In particular, the study focuses on CoPs themes, including why entrepreneurs engage in CoPs, what role the moderators and resident entrepreneurs can play in managing online CoPs, on communication rituals of the knowledge sharing through interactivity, and on ‘how to develop an intervention’ to maintain and stimulate entrepreneurs for engaging in an online community. Findings reveal that the topic title plays a major role in attracting people. Successful topics with successful conclusions (in terms of the original query that was answered) will not necessarily get high responses and vice versa. It is observed that the domain expert does not play a big role in keeping the discussion going. Finally, the study also discovered that entrepreneurs like to communicate in a story telling genre. A comprehensive set of engagement measurement tools are introduced to effectively measure the engagement in a virtual CoP, along with a classification to define and categorise discourse of messages in terms of content and context, which allow practitioners to understand the effectiveness of a social networking site.

Experimental Researches in Tourism - A Bibliometric Analysis

The aim of the study is to reveal the empirical trends in the tourism literature by analyzing the experimental researches carried out in the field of tourism in terms of bibliometric. The research data comprise 648 studies published “empirical” and “experimental” topic title between 1982-2017 in the top five tourism journals according to the Journal Citation Reports which are Tourism Management(TM), Journal of Travel Research(JTR), Journal of Sustainable Tourism(JST), Cornell Hospitality Quarterly(CHQ) and Annals of Tourism Research(ATR) indexed in "Hospitality, Leisure, Sport and Tourism" research area. The journals are examined in terms of publication numbers by years, country cooperations, common publication citation networks and topic orientations. Social network analysis has been used to determine the country collaborations, common publication citation networks and topic orientations. According to the results obtained in the study; %92,1 of publications were published after 2000. 58.5% of the publications were published between 2011 and 2017. USA and Spain have an important role in country cooperations. “Multivariate Data Analysis” written by Joseph F. Hair, Jr et al. in 2010 is the most basic reference source that guides the studies. This book was effective especially in the period between 2014 and 2017. Behavioral intention, strategic planning researches and environmental innovation are the most studied topics.

A Tutor Assisting Novel Electronic Framework for Qualitative Analysis of a Question Bank

The traditional approach followed by tutors to assess the students is through a set of questions. The quality of a question bank has an impact on the effectiveness of evaluation in educational institutions. Determining the coverage of these questions with respect to a set of prescribed text/reference books helps in evaluating students efficiently. In this paper, we describe a Tutor Assisting e-Framework (TAeF) that enables the tutors to analyze the quality of a question bank. Initially, it clusters all individual topics of each of the input text/reference books according to their dependencies. Later, the questions are classified into these topics. The result is a set of topics, each containing the topic title and the probability by which the question is related to it. Lower the accuracy of the predicted topics, higher is the quality of the question. In other words, if question contains the topic title unaltered, it has a higher probability of being related to the topic; this degrades the quality of question. Furthermore, the congruence relation between the questions and the set of topics is found. This gives the question coverage of each topic. Finally, with this relation, the percentage of understanding the students have developed in each of these topics is computed. The Tutor Assisting e-Framework (TAeF) helps to improve the quality of a question bank, to check the topics covered by each question and the knowledge gained.

Disseminating Research Discovery Through an Interactive Video: a Paradigm Shift for Journal Publication

This issue marks the inauguration of a new publication framework for information exchange. The journal-based video display is a paradigm shift for scientific publication. I am pleased to explain the process and use. First, any scientist or group of scientists can now submit a proposal on a timely topic for video discussion to the journal (jnip@unmc.edu). The proposal should include the topic title, the presenters or authors and affiliations, and a brief overview of the information exchange or debate among the scientists. This could represent different opinions or view points or be two components of an existing school of thought. Second, the proposal would be reviewed; and if chosen as appropriate, the journal’s editors would work with the authors to develop a videoconference where a moderator and two presenters would record their works in the form of a PowerPoint presentation with an appropriate question and answer component. Third, after the debate, an abstract would be written and uploaded to the journal along with the recorded video and corresponding slides. This will, then, undergo peer review and the abstract, when accepted for publication, placed on PubMED/MEDLINE. There would be a link from PubMED to the video so that anyone who desires may watch and subsequently comment or propose questions on the contents through our new journal blog (http://blogs.springer.com/jnip). The abstract from the first of these series is now posted in this issue as Gendelman, H.E., Kabanov, A., and Linder, J. The Promise and Perils of CNS Drug Delivery: A Video Debate. J Neuroimmune Pharmacol. 2008 Mar 6. Certainly, we have a journey ahead of us in order to perfect this type of communication, and we fully understand that feedback from our readership will go along way to improve the style and content for this new format of communication. Future topics proposed are The Promise and Perils of Alzheimer’s Disease Vaccine; Metabolomics and Biomaker Discovery for Neurologic Diseases, amongst others. The remainder of this current issue highlights the research of each of our senior editors to provide the kinds of diversity and mixture of article grouping we hope to achieve in the coming years. This includes, but is not limited to, studies of the immunopathogenesis of degenerative neurologic diseases; studies on the regulation of G protein-coupled receptor expression and function and cross-talk between these receptors in the regulation of inflammatory processes; micellar enzymology, block polyelectrolyte complexes, nanomedicine, drug and gene delivery; use of advanced neuroimaging techniques and biomarker discovery paradigms to investigate the neuropathophysiology of neurological diseases; studies of the virological, immunological, and molecular mechanisms associated with the multiple sclerosis and other neuroinflammatory disorders linked to viral infection and host genetics; immunomodulation of drugs of abuse and other pharmacological agents, substance abuse, normal aging, and development; and investigation of inflammatory mechanisms in Alzheimer’s disease and the biology of microglia. This, altogether, underlies the evolving discipline of Neuroimmune Pharmacology. As always, enjoy its contents and we all look forward to you posting all of your impressions. So far, our journal continues to be an exciting endeavor, and as always, the best is yet to come. J Neuroimmune Pharmacol (2008) 3:57 DOI 10.1007/s11481-008-9107-5

Bias and the limits of pooling for large collections

Modern retrieval test collections are built through a process called pooling in which only a sample of the entire document set is judged for each topic. The idea behind pooling is to find enough relevant documents such that when unjudged documents are assumed to be nonrelevant the resulting judgment set is sufficiently complete and unbiased. Yet a constant-size pool represents an increasingly small percentage of the document set as document sets grow larger, and at some point the assumption of approximately complete judgments must become invalid. This paper shows that the judgment sets produced by traditional pooling when the pools are too small relative to the total document set size can be biased in that they favor relevant documents that contain topic title words. This phenomenon is wholly dependent on the collection size and does not depend on the number of relevant documents for a given topic. We show that the AQUAINT test collection constructed in the recent TREC 2005 workshop exhibits this biased relevance set; it is likely that the test collections based on the much larger GOV2 document set also exhibit the bias. The paper concludes with suggested modifications to traditional pooling and evaluation methodology that may allow very large reusable test collections to be built.

Contextual knowledge reduces demands on working memory during reading

An experiment is reported in which young, middle-aged, and older adults read and recalled ambiguous texts either with or without the topic title that supplied contextual knowledge. Within each of the age groups, the participants were divided into those with high or low working memory (WM) spans, with available WM capacity further manipulated by the presence or absence of an auditory target detection task concurrent with the reading task. Differences in reading efficiency (reading time per proposition recalled) between low WM span and high WM span groups were greater among readers who had access to contextual knowledge relative to those who did not, suggesting that contextual knowledge reduces demands on WM capacity. This position was further supported by the finding that increased age and attentional demands, two factors associated with reduced WM capacity, exaggerated the benefits of contextual knowledge on reading efficiency. The relative strengths of additional potential predictors of reading efficiency (e.g., interest, effort, and memory beliefs), along with knowledge, WM span, and age, are reported. Findings showed that contextual knowledge was the strongest predictor of reading efficiency even after controlling for the effects of all of the other predictors.

Editorial [Hot Topic: Mini Hot Topic Title: Epigenetic Regulatory Mechanisms in Cancer, Development, and Evolution (Guest Editor: Douglas M. Ruden)

Editorial [Hot Topic: Mini Hot Topic Title: Epigenetic Regulatory Mechanisms in Cancer, Development, and Evolution (Guest Editor: Douglas M. Ruden)