Keyword Selection Research Articles

Topic Analysis in LDA Based on Keywords Selection

Topic Analysis in LDA Based on Keywords Selection

IoT-based smart cities: a bibliometric analysis and literature review

Abstract Modern cities face many challenges related to globalisation, metropolisation and digitalisation. The smart city concept, which has been gaining popularity in recent years, is considered an answer to their needs. One of the paradigms of modern smart cities is the Internet of Things. This article aims to identify the main research directions and trends in the scientific literature in the field of Internet-of-Things-based smart cities. The author of the paper conducted a bibliometric analysis of publications from 2012–2021, collected from the Web of Science, Scopus and IEEE Xplore databases. The methodology includes: (i) the selection of databases and key words, (ii) defining search criteria, (iii) data export, creation of an aggregate database and record selection, and (iv) the analysis of the results and identification of the major research trends. The study involved 1019 publications. The last stage of the research process identified the leading countries, institutions, journals, and authors in terms of publication activity, as well as the most frequently occurring terms. The key word analysis allowed identifying five main research directions: IoT application domains in smart cities, IoT architecture for smart cities, energy, security and privacy and data. Within each area, the main research themes have been identified, and selected publications have been reviewed.

Аnаlysіs of thе scіеntіfіc tеxt іn рsycholіnguіstіcs: аn ovеrvіеw аnd somе рrеlіmіnаry fіndіngs

Thіs аrtіclе іs dеvotеd to аn urgеnt рroblеm for modеrn lіnguіstіcs – thе іssuе of undеrstаndіng аnd реrcерtіon of а scіеntіfіc tеxt іn thе lаrgе-scаlе sраcе of іnformаtіon аnd еducаtіon. Thе study іs а rеvіеw аnd аnаlytіcаl chаrаctеr wіth аn аttеmрt to consіdеr thе fеаturеs of а scіеntіfіc tеxt аnd thе rеlаtеd рroblеms of реrcерtіon аnd undеrstаndіng of scіеntіfіc іnformаtіon, аnd to outlіnе рossіblе wаys to ovеrcomе thе еmеrgіng communіcаtіon dіffіcultіеs. The article provides an overview of the psycholinguistic research of scientists-specialists in the field of semantic perception of the text, considers the specificity of the process of understanding a scientific text as a complex specific type of text. Today the writing of a scientific text, namely scientific articles, is an urgent problem in the academic communication of the republic, due primarily to the requirements for such publications. Nowadays in order to obtain a PhD degree, a young researcher must be published in international journals included in the Scopus database and Web of Scіence. Such requirements apply not only to doctoral students, but also to teachers of domestic universities. Kazakhstan seeks to enter the international academic space so that domestic scientists are recognizable and cited, while researchers are faced with such problems as writing a text that meets international standards and requirements for this kind of scientific publications, selection of methods, keywords, and perception and understanding of the scientific text by the reader, reviewer, etc.

Equine Rehabilitation: A Scoping Review of the Literature.

Simple SummaryWhen a horse is diagnosed with a locomotor disorder, the veterinarian treats the specific injury to restore the horse to soundness. Even after the injury has healed, however, the horse may not be fully functional due to persistent limitations in movement or strength in specific areas of the body. As in people, rehabilitation seeks to optimize function and reduce any existing disability using a variety of methods including manual therapy, the use of physical and mechanical agents, and specialized exercise regimes. This study has reviewed the scientific literature with the goal of identifying which types of physical therapy have been described in horses over the past 20 years. The most frequently reported techniques were exercise, electrotherapy, and hydrotherapy but there are relatively few publications describing details of their use and outcomes in clinical cases. This study reviews the methodology and outcomes of rehabilitation in clinical cases. The results highlight the paucity of clinically-based reports on the practical applications of equine rehabilitation and physical therapy.Injuries to the locomotor system are a common problem in athletic horses. Veterinarians address these injuries using appropriate medical, surgical, and pharmacological treatments. During or after recovery from the initial injury, horses may be treated for functional locomotor deficits using specific rehabilitation techniques aimed at restoring full athletic performance. This study reviews the literature to identify which rehabilitative techniques have been used most frequently in horses over the past 20 years, the protocols that were used, and the outcomes of the treatments in naturally occurring injuries and diseases. Publications were identified using keyword selection (Equine Athlete OR Equine OR Horse) AND (Rehabilitation OR Physiotherapy OR Physical Therapy). After removing duplicates and screening papers for suitability, 49 manuscripts were included in the study. The majority of publications that met the inclusion criteria were narrative reviews (49%) in which the authors cited the relatively small number of published evidence-based studies supplemented by personal experience. Observational/descriptive studies were also popular (35%). Randomized control trials accounted for only 10%. The most frequently reported rehabilitation techniques were exercise, electrotherapy, and hydrotherapy. The findings highlight the need for further information regarding type of intervention, parameterization, and outcomes of equine rehabilitation in clinical practice.

One Hundred Top Cited Articles in Cervical Myelopathy: A Bibliographic Analysis.

A bibliometric review of the literature. The aim of this study was to identify the most highly cited articles relating to cervical myelopathy and to analyze the most influential articles. Over the past several decades, a lot of research has been conducted regarding the subject of cervical myelopathy. Although there are a large number of articles on this topic, to our knowledge, this is the first bibliometric analysis. A selection of search terms and keywords were inputted into the "Dimensions" database and the most highly cited articles in cervical myelopathy were selected from high impact factor journals. The top 100 articles were analyzed for year of publication, authorship, publishing journals, institution and country of origin, subject matter, article type, and level of evidence. The 100 most cited articles in the topic of cervical myelopathy were published from 1956 to 2015. These articles, their corresponding authors, and number of citations are shown in Table 1. The number of citations ranged from 121 times for the 100th article to 541 times for the top article in a total of 20 journals. The most common topic was operative technique, whereas the journals which contributed the most articles were the Spine journal and the Journal of Neurosurgery. Our study provided an extensive list of the most historically significant articles regarding cervical myelopathy, acknowledging the key contributions made to the advancement of this field.Level of Evidence: 5.

Keywords of Search Engine Optimization based on Corpus

With the development of network, keywords have become an important way of retrieval, which is the window for academic papers to enter circulation and citation. Therefore, the selection of keywords is very important to improve the retrieval rate. Based on this, this paper carries out a corpus based search engine optimization keyword research. Based on one million English corpora, this paper analyzes and studies 3933 key words from the definition and function of keywords, the characteristics of keywords, selection methods, arrangement order, composition, quantity and writing format. It also analyzes the algorithm and ranking principle of search engine, discusses the optimization of website structure, keywords and single page, the punishment of search engine and the rescue method after being punished by search engine. According to the statistical research on the frequency of key words, the number of keywords is mainly 1-2 words, accounting for 90% of the total number. It can be seen that the search engine optimization technology used in the research of keyword optimization in the website can improve the website ranking and realize the value of the website.

Theory into Practice: Using the PLUS Model to Teach Information Skills and Support the Curriculum in a Secondary School

This paper examines the use of PLUS, a four-step model of information skills, in a secondary school in England with 28 Year 8 pupils doing a physics project. The pupils completed a questionnaire relating to their use of the PLUS model and their attitudes to brainstorming, keyword selection, evaluating resources, reading for information, taking notes, and writing. The teacher and librarian were interviewed. Findings showed that pupils responded favourably to using the PLUS model in all areas and that the teacher and school librarian noted improvement in the pupils' learning, writing, and information skills as a result of using the model.

Trends in Satellite Earth Observation for Permafrost Related Analyses—A Review

Climate change and associated Arctic amplification cause a degradation of permafrost which in turn has major implications for the environment. The potential turnover of frozen ground from a carbon sink to a carbon source, eroding coastlines, landslides, amplified surface deformation and endangerment of human infrastructure are some of the consequences connected with thawing permafrost. Satellite remote sensing is hereby a powerful tool to identify and monitor these features and processes on a spatially explicit, cheap, operational, long-term basis and up to circum-Arctic scale. By filtering after a selection of relevant keywords, a total of 325 articles from 30 international journals published during the last two decades were analyzed based on study location, spatio-temporal resolution of applied remote sensing data, platform, sensor combination and studied environmental focus for a comprehensive overview of past achievements, current efforts, together with future challenges and opportunities. The temporal development of publication frequency, utilized platforms/sensors and the addressed environmental topic is thereby highlighted. The total number of publications more than doubled since 2015. Distinct geographical study hot spots were revealed, while at the same time large portions of the continuous permafrost zone are still only sparsely covered by satellite remote sensing investigations. Moreover, studies related to Arctic greenhouse gas emissions in the context of permafrost degradation appear heavily underrepresented. New tools (e.g., Google Earth Engine (GEE)), methodologies (e.g., deep learning or data fusion etc.) and satellite data (e.g., the Methane Remote Sensing LiDAR Mission (Merlin) and the Sentinel-fleet) will thereby enable future studies to further investigate the distribution of permafrost, its thermal state and its implications on the environment such as thermokarst features and greenhouse gas emission rates on increasingly larger spatial and temporal scales.

Generation of Random Key Stream using Word Grid Puzzle for the Applications of Cryptography

The amount of digital data created and shared via internet has been increasing every day. The number of security attacks and threats has been increased due to poor selection of secret keywords and passwords.Cryptographic algorithms and security protocols are primarily rely on random keys to provide security services.Random numbers and key stream are playing major role in applying the security mechanisms in real time. In this paper, a novel method to generate random key stream using word grid puzzle is proposed.The proposed method is experimented and a minor analysis has been performed in the obtained result.

ANALYSIS OF PUBLIC AWARENESS OF DISEASES CAUSING CHRONIC ARTERIAL INSUFFICIENCY BASED ON THE ASSESSMENT OF RELEVANT GOOGLE QUERIES

Objective : to evaluate the awareness of diseases causing to chronic arterial insufficiency by analyzing web search queries. Material and methods . In this study, we used the online keyword selection tool ‘Google Trends.’ The analysis was conducted for different countries and separately for CIS countries. Results . We found that the search query ‘obliterating endarteritis’ was most common in Kazakhstan and Pakistan, while the query ‘obliterating atherosclerosis’ was most common in Belarus, Trinidad, and Tobago. The query ‘leg cramps’ was most frequent among residents of Ukraine and the Republic of South Africa, whereas people residing in the Republic of Kazakhstan and Philippine Islands usually searched for ‘leg numbness.’ As for diagnostic methods, ‘angiography’ was the most frequent query in countries such as Bulgaria and Pakistan, while ‘dopplerography’ was the most popular query in the Republic of Kazakhstan. The most common queries related to treatment of chronic arterial insufficiency were ‘balloon angioplasty’ (most popular in Russia) and bypass surgery (most popular in Zambia, Ethiopia, Myanmar, and Ghana). The most frequent queries associated with pharmacotherapy were ‘acetylsalicylic acid’ and ‘pentoxifylline’ in the Russian Federation and Trinidad, Tobago, Jamaica, and Puerto Rico. Conclusion. The assessment of web search queries related to the diagnosis and treatment of chronic arterial insufficiency may help to understand the health status of people residing in different countries, which will enable effective disease prevention by reducing the risks and will ensure sufficient attention to timely diagnosis and effective treatment of chronic arterial insufficiency. It is also very important to inform people about obliteration of lower extremity and explain that people with such symptoms should consult their phusician rather than search for information online.

Strategies to Improve CT Dose Optimization for Hybrid PET/CT Imaging

Background: To evaluate whether current dose reduction strategies for the CT component of hybrid Positron Emission Tomography—Computed Tomography (PET/CT) systems could reduce patient dose with maintaining adequate image quality for PET/CT studies. Materials and Methods: Literature survey was initially based on the selection of keywords and years of publication to identify potentially relevant articles, then the further search was conducted on the authors and references from these articles. The abstract of each article was first appraised to decide whether the content was relevant to this research question. The articles were classified into five groups: studies on dosimetry, studies on radiation-induced diseases, studies on dose reduction methods for CT-based attenuation correction (CTAC), studies on dose reduction methods for CT localization, and studies on reducing the need for a full-dose diagnostic CT in PET/CT imaging. 58 peer-reviewed articles were selected and appraised and 29 articles were used to compose this literature review. Results: The published nuclear medicine and medical physics literature were reviewed. CT dose contributed 47% - 81% of the total effective dose of a standard PET/CT study and was associated with radiation-induced diseases. The dose reduction techniques were extracted and divided into three categories: reducing the CT dose for attenuation correction (AC) and localization, selectively localizing CT use, and reducing the need for a full-dose diagnostic CT. Conclusion: Three strategies have been demonstrated, with high potential for reducing patient dose while maintaining an adequate CT image quality, used for CTCA localization and diagnosis, respectively.

Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling.

PurposeThe purpose of this study was to identify the supportive care needs of parents of preterm children in South Korea using text data from a portal site.MethodsIn total, 628 online newspaper articles and 1,966 social network service posts published between January 1 and December 31, 2019 were analyzed. The procedures in this study were conducted in the following order: keyword selection, data collection, morpheme analysis, keyword analysis, and topic modeling.ResultsThe term “yirundung-yi”, which is a native Korean word referring to premature infants, was confirmed to be a useful term for parents. The following four topics were identified as the supportive care needs of parents of preterm children: 1) a vague fear of caring for a baby upon imminent neonatal intensive care unit discharge, 2) real-world difficulties encountered while caring for preterm children, 3) concerns about growth and development problems, and 4) anxiety about possible complications.ConclusionSupportive care interventions for parents of preterm children should include general parenting methods for babies. A team composed of multidisciplinary experts must support the individual growth and development of preterm children and manage the complications of prematurity using highly accessible media.

Keyword Selection Strategies in Search Engine Optimization: How Relevant is Relevance?

We build an empirical framework using search queries and organic click data which provides model-based guidance to SEO practitioners for keyword selection and web content creation. Specifically, we study how search characteristics (search query popularity, search query competition, search query specificity, and search intent) and website characteristics (content relevance and online authority) interact to affect the expected organic clicks as well as the organic rank a website receives from the search engine result page (SERP). It is often thought that content relevance is a key factor to improve the effectiveness of SEO. We find, however, that content relevance is an important factor in driving organic clicks only when the consumer is farther along in the customer journey and searching for ways to purchase a product. Whereas, when the customer is at the awareness stage and looking for product information, online authority is the key driver of organic clicks.

Contextual advertising is an effective tool of digital marketing

The concept of contextual advertising, its strengths, main types are defined. Types of advertising campaigns are defined. Highlighted the basic settings in Google Ads, in particular the rules of keyword selection. The effectiveness of using contextual advertising as an Internet marketing tool has been established, given that it: acts selectively and is displayed to visitors of the website whose sphere of interests potentially coincides / intersects with the subject of the advertised product or service; meets the requirements of the target audience, which increases the likelihood of its response to advertising and makes it more attractive than other types of advertising; helps to improve the company's image, disseminate information about products and sell goods over the Internet; is an effective element of digital marketing, which with a high-quality setting can increase company revenues. Contextual advertising has prospects, given: - increasing the number of Internet users and the time of its use by each user; - its regional orientation, which allows you to weed out a lot of non-target customers; - focus on a specific target audience by interests; - ofline advertising is becoming more expensive; - contextual advertising tools are improving, more services are appearing for a deeper analysis of statistics. When setting up contextual advertising, the following are important: choosing the type of advertising campaign (image, product, trade), searching for keywords and choosing the type of correspondence (general matching, broad match modifier, phrase matching, exact matching). Effective contextual advertising is a chain of "request -> keyword -> advertisement -> landing page of the site-> purchase of goods". Keywords: digital marketing, search engine, contextual advertising, advertising campaign, demand, keywords.

Print Media Coverage of Environmental Issues in the COVID-19 Pandemic: An Ecolinguistic Analysis

The coverage of environmental issues is of great importance to Moroccan newspapers, namely As-Sabah, Al-Akhbar, and Al-Massae. The present study explores the frequency of articles that covered environmental issues and investigated the newspapers’ professionalism in writing environmental reports on man’s environmental setting violations. The Research was accomplished through the framework of ecolinguistics to categorize and analyze all environmental stories that extended from March to July 2020. The sums of 308 issues of the three newspapers were manually checked to identify the issues reported about environmental problems. The findings revealed that environmental coverage by the three newspapers was feeble. Precisely, only 73 newspaper issues pertaining to the three newspapers contained at least one environmental title. Practically, identified environmental articles were manually searched and treated based on a keyword selection such as environment, forest, animals, water, pollution, air, irrigation, deforestation, and overgrazing, among other words. In total, the final sum of environmental articles published by the three newspapers during the COVID-19 period were 92 articles (1.8%) over 4922 total articles published by 73 issues. The role of print media is determinant in covering environmental topics to maintain the public informed about the protection of environmental resources during the COVID-19 pandemic. Unfortunately, this role is far from being achieved given the feeble interest devoted to environmental issues and the way through which the newspapers have produced environmentally based stories. To remedy this situation, some recommendations are afforded to improve the writing of environmental reports in line with ecolinguistics principles and environmental journalism ethics.Â

Article Keyword Selection

Keyword selection is the second Sudan Journal of Medical Sciences short guidance piece on the international academic standards. As a Section Editor at SJMS, I am honored to be invited to write in this series. In future, I can see SJMS leading the way to improving the publishing standards in Sudan's medical field. And with the current practice and unique services that SJMS provides for their readers and authors, it marks its step to be one of the best regional journals in the discipline.
 The Importance of Keywords
 As authors, we aspire to share our work among the readers in our field and get appropriately cited. Here comes the volume for the authors' keywords. The first journey for each manuscript begins with a literature review in which the indexing databases such as Scopus and PubMed are searched for any present work related to our ideas. This ends by the citation of most of those works in our reference list. It is curial to select your keywords so that it acts as a promoter for your work among your colleagues. Apart from being used by the indexing service to classify your work, keywords for the publisher and the editorial board serve as a guidance for choosing the referee for your article and your paper's subject.
 How to choose your keyword?
 
 First, make a list of words from the manuscript, which you believe represents the work's essential idea. They could also be a phrase (e.g., colon cancer). Most researchers use sentences or phrases in search engines. Do not use words from your title, as this will decrease the chances of the article appearing during the logarithmic search. There is also a word generator engine like MeSH on Demand, a google keyword planner. Each journal has its own maximum number of keywords; for SJMS, the number of keywords are specified according to the article types.
 Next, have a look at the standard term used for indexing in the medical field (MeSH, PsycInfo, and others) and ensure that the keyword of your choice is listed there.
 Lastly, go through the standard search engine used commonly by professionals in your field and type it to see if the same titles as yours come up.
 
 To publish means to be known. I believe each article's minor part deserves the same input as a significant section.

A taxonomic proposal for multiliteracies and their competences

The aim of this study is to analyze information and communication competences and their alphabets, both of which are necessary for effective knowledge-based content management. The evolution of the associated specialties or techniques, i.e., literacies, which have emerged to address this task more effectively are considered. The hypothesis that a taxonomic model can be used to order and coordinate literacies, in combination with an application metamodel within the framework of the Voremetur research project, was investigated. The methodology used to complete this analysis adopts an evolutionary approach comprising: (1) a first divergent phase describing the era of literacies and multiple literacies, in which field-specific competences and tools prevail; (2) a second convergent phase of information and digital literacy, whose associated competences become the targets of knowledge; and (3) a third divergent phase, based on multiliteracies, as a consequence of Big Data and its effects, to address which data literacy, together with “digital competences,” emerged as new and complex ways of processing web content. Based on this premise, the classifications introduced by Bawden, Stordy, Secker & Coonan, and Mackey & Jacobson are proposed as a taxonomic model, using the metamodel definition from the Voremetur project. This results in the proposal of a multiliteracy including implementations that range from visual literacy and new media literacy, strategies for the selection of keywords as taxonomic labels, semantic control to define taxonomic categories, to a metamodel definition based on the categories obtained in the taxonomy. The development of the metamodel is presented through a program oriented at higher education within the framework of academic literacy, as a means for incorporation into curricula, including a definition of its paradigmatic and conceptual framework, the factors relevant to its programming and instructional design, educommunication as a didactic methodology approach, and digital educational objects as didactic materials, followed by an appropriate evaluation.

SEPM: rapid seism emergency information processing based on social media

With the development of network communication technology and the popularity of social media tools, earthquake-related information has been easily published and disseminated in social networks. This study focuses on obtaining this information and providing guidance for earthquake emergency work. A processing model is proposed to obtain earthquake information from social networks. First, a configuration-driven data acquisition module is designed to acquire earthquake information. Second, according to the characteristics of earthquake information in social media, a seismic emergency thesaurus is selected, and weight is calculated. To solve the low accuracy of inter-class classification, an improved mutual term frequency–inverse document frequency (MTF–IDF) algorithm is proposed. Finally, the thesaurus database is used to classify the acquired earthquake information. By taking the Lushan and Jiuzhaigou earthquakes as examples, the improved MTF–IDF algorithm shows a better effect on the selection of seismic keywords than the traditional TF–IDF algorithm; the F1-measure in classification has increased from 79.86 to 86.93%. The proposed model can rapidly and easily acquire and classify earthquake information according to different sources, which can provide timely information and support for disaster relief.

Feature selection methods for event detection in Twitter: a text mining approach

Selecting keywords from Twitter as features to identify events is challenging due to language informality such as acronyms, misspelled words, synonyms, transliteration and ambiguous terms. In this paper, We compare and identify the best methods for keyword selection as features to be used for classification purposes. Specifically, we study the aspects affecting keywords as features to identify civil unrest and protests. These aspects include the word count, the word forms such as n-gram, skip-gram and bags-of-words as well as the data association methods including correlation techniques and similarity techniques. To test the impact of the mentioned factors, we developed a framework that analyzed 641 days of tweets and extracted the words highly associated with event days along the same time frame. Then, we used the extracted words as features to classify any single day to be either an event day or a nonevent day in a specific location. In this framework, we used the same pipeline of data cleaning, prepossessing, feature selection, model learning and event classification using all combinations of keyword selection criteria. We used Naive Bayes classifier to learn the selected features and accordingly predict the event days. The classification is tested using multiple metrics, such as accuracy, precision, recall, F-score and AUC. This study concluded that the best word form is bag-of-words with average AUC of 0.72 and the best word count is two with average AUC of 0.74 and the best feature selection method is Spearman's correlation with average AUC of 0.89 and the best classifier for event detection is Naive Bayes Classifier.

How do authors select keywords? A preliminary study of author keyword selection behavior

Abstract Author keywords for scientific literature are terms selected and created by authors. Although most studies have focused on how to apply author keywords to represent their research interests, little is known about the process of how authors select keywords. To fill this research gap, this study presents a pilot study on author keyword selection behavior. Our empirical results show that the average percentages of author keywords appearing in titles, abstracts, and both titles and abstracts are 31%, 52.1%, and 56.7%, respectively. Meanwhile, we find that keywords also appear in references and high-frequency keywords. The proportions of author-selected keywords appearing in the references and high-frequency keywords are 41.6% and 56.1%, respectively. In addition, keywords of papers written by core authors (productive authors) are found to appear less frequently in titles and abstracts in their papers than that of others, and appear more frequently in references and high-frequency keywords. The percentages of keywords appearing in titles and abstracts in scientific papers are negatively correlated with citation counts of papers. In contrast, the percentages of author keywords appearing in high-frequency keywords are positively associated with citation counts of papers.