Search

This study aims to determine the implementation of the inaportnet system that affects ship services at PT Kartika Samudra Adijaya at Samarinda Port. The method used in this study is qualitative with a descriptive approach. Data analysis is a qualitative approach to primary data through observation, documentation and secondary data in statutory studies, books or literature related to vehicle loading systems on board. Based on research on the preparation of ship arrival, during the ship's arrival in the port area, preparation for ship departure, and when the ship departs, It can be concluded that the new inaportnet system was only implemented in October 2022. In adjusting to the new system, several obstacles are still found, such as the lack of guidance of KSOP officers in using the new system and the lack of socialisation from the city authorities to service users (agents). The efforts include holding regular training sessions on the flow of the internet system for officers and service users. [ABSTRACT FROM AUTHOR]

Background: Social media platforms can increase gender diversity and foster community within the neurosurgical field. Women have been historically underrepresented in neurosurgery. The purpose of this study is to compile a list of women neurosurgeons on Twitter according to their social media influence and identify whether social media influence correlates with academic productivity. Methods: Women neurosurgeons (post-residency) in the United States who have Twitter accounts were obtained via the Women in Neurosurgery Twitter account and individuals who used the hashtag: #womeninneurosurgery (n= 50). Social media influence (followers, original posts, likes, retweets) was extracted through Popsters social media analytics platform for each of the accounts from January 1st, 2023 to June 30th, 2023. The efficiency metric standardized retweets for follower count, as well as number of posts. Academic H-index scores were ascertained via SCOPUS. 3 lists were created based off the efficiency metric, follower count, and average likes per post. Results: The relationship between the efficiency metric (average retweets per post per follower) and H-index was not significant at level of p

Copyright of International Journal of Informatics, Media & Communication Technology (IJIMCT) is the property of Beni Suef University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background Methods Results Conclusion With increasing sports medicine content on social media, we sought to identify the top sports medicine influencers on X (formerly Twitter) and analyse their common characteristics.X influence scores for “Sports Medicine” were collected in November 2021 from Right Relevance. Accounts were then screened in a blind, duplicate manner for personal and X profile characteristics.Physical therapists/physiotherapists made up 48% of the top sports science and medicine influencers. Locations in the U.S. and U.K. were listed for half of the influencers. The mean h-index was 30.2 (95% CI = [24.8–35.6]) with a median of 22.0 (range = 1–101). Most individuals reported multiple practice settings (63%), with 60% associated with an academic setting. Professional (62%) and Olympic (49%) level athletics were most frequently mentioned, with soccer (48%) and rugby (30%) as the most common sports. Among 76 profiles with URLs, most were linked to personal websites (57.9%).The top influencers on X consisted of accredited sports science and medicine professionals across various locations and occupations, providing ample networking and collaboration opportunities. The relatively high h-index in this study suggests sports science and medicine influencers on X are notable contributors to academic literature. [ABSTRACT FROM AUTHOR]

BackgroundThe understanding of pediatric anterior cruciate ligament (ACL) injuries and optimal treatment has evolved significantly. Influential articles have been previously evaluated using article citations to determine impact.PurposeTo identify and characterize the 50 most cited and recent influential articles relating to pediatric and adolescent ACL injuries, to examine trends in publication characteristics, and to evaluate correlations of study citations with quality of evidence.Study designCross-sectional study.MethodsThe top 50 most cited articles on pediatric and adolescent ACL injuries were gathered using the Web of Science and Scopus online databases by averaging the number of citations from each database. Articles from recent years were also aggregated and sorted by citation density (citations/year). Publication and study characteristics were recorded. Level of evidence and methodologic quality were assessed where applicable using the modified Coleman Methodology Score (mCMS), modified Jadad scale, and Methodological Index for Non-Randomized Studies (MINORS). Spearman correlation was used to evaluate the association between citation data and level of evidence or methodologic quality scorings.ResultsThe top 50 cited papers had a mean of 117.5 ± 58.8 citations (range, 58.5-288.5 citations), with a mean citation density of 9.4 ± 5.4 citations per year (range, 2.9-25.8 citations/year); 80% were published in 2000 or later, and 6% were considered basic science. Articles were mainly level 4 evidence (27/42; 64.3%), and none was level 1. There were moderate, significant associations between publication year and level of evidence (r S = -0.45; P = .0030) and citation density and publication year (r S = 0.59; P < .001). Mean methodologic quality scores were as follows: mCMS, 53 ± 7.2 (range, 39-68); modified Jadad scale, 3.2 ± 1.1 (range, 2-6); and MINORS, 11.2 ± 3.2 (range, 6-20). There was a significant, strong correlation between rank of mean citations and modified Jadad scale (r S = 0.76; P < .0001), suggesting poorer score associated with more mean citations.ConclusionInfluential articles on pediatric and adolescent ACL injuries were relatively recent, with a low proportion of basic science-type articles. Most of the studies had a lower evidence level and poor methodologic quality scores. Higher methodologic quality did not correlate positively with citation data.

While addressing grey fabric quality in a renowned circular weft knitting mill of Bangladesh, the authors experienced some questionable approach practiced by knitters. The subjective nature of defect detection by knitters/inspectors often time causes wrong emphasizing on frequently occurring defect(s) instead of focusing on influential defect(s) and subsequently, employing wrong quality control approach to minimize the grey fabric defects. Knit fabric defects (e.g., hole, stain, press-off, gout, miss knit, barrè, tucking, etc.) should be assessed by type, fault coverage, gravity and the frequency of occurrence instead of focusing only on frequency of occurrence in the fabric. In this study, grey weft-knitted fabric quality is investigated based on influential defects instead of frequently occurring defects. Quality data of single jersey, fleece and 1X1 rib were gathered and analyzed from an established knitting factory in Bangladesh over three months duration. A fabric inspection machine and 4-point inspection method were employed in this study. Gout was found as the most frequently occurring defect for each fabric type but not influential for rib fabric. For a significant amount of knitted fabrics, totaling of 55,524.91 m2 inspected fabric, the most occurring defects were ranked as gout, press-off, hole, miss knit, stain, and tucking and influential defects (based on inspection points) were ranked as gout, press-off, hole, stain, miss knit, and tucking (highest to lowest). In the inspection report, the knitter/inspector mistakenly categorized gout as the most occurring as well as the most influential defect for 1X1 rib fabrics and suggested remedies accordingly.

This paper addresses a host of features and responsibilities of an effective instructor in the scenario of contemporary challenges and problems. The educationists need to better equipped and more professional to deliver the best possible education efficiently. They should be well-informed of the latest developments in their specialized area/discipline and should be engaged in curriculum design and decision-making process. This study focuses on effective modes of teaching and better communication/technology skills for modern day teachers. A conducive social environment is a prime pre requisite for a successful learning and teaching system.

Objectives/Hypothesis: To identify the most influential publications in laryngology since 2000. Study Design: Modified Delphi process. Methods: Samples of laryngologists drawn from editors of leading journals, organization officers, and thought leaders were invited to participate in a modified Delphi identification of influential laryngology papers. Influential was defined as follows: yielding meaningful practice changes, catalyzing further work as a foundation for an important topic, altering traditional views, or demonstrating durability over time. Quality and validity were not among the selection criteria. Each participant nominated 5 to 10 papers in Round 1. These nominations, augmented with papers from bibliometric analysis, were narrowed further in Round 2 as participants identified their top 20. The 40 papers with the most Round 2 votes were discussed by video conference and then subjected to Round 3 voting, with each participant again selecting their top 20 most influential papers. Final results were collated by the number of Round 3 votes. Results: Sixteen of 18 invited laryngologists participated overall (all 16 in Rounds 1 and 3; 14 in Round 2). Twenty‐one papers were identified as most influential. One paper appeared on all 16 Round 3 lists; three papers with eight (50%) votes each were lasted to make the list. Eleven of these 21 focused on voice; three each related to cancer, airway, and swallowing; and one encompassed all of these clinical areas. Conclusions: This list of 21 influential laryngology papers serves to focus further research, provides perspective on recent advances within the field, and is an educational resource for trainees and practicing physicians. Level of Evidence: NA Laryngoscope, 132:406–412, 2022 [ABSTRACT FROM AUTHOR]

Copyright of Larq Journal for Philosophy, Linguistics & Social Sciences is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The rise of hate narratives along with the new model of communication through the internet has become a new challenge for people in this digital era, especially for youth, the Z generation. This generation, in fact, has an intimacy with the internet. It means that they have more possibility for the influence of hate narratives. This study is aimed exploring the influential factors on Z generation reception to the hate narratives on the internet. Specifically, it proposes to recognize the influential factors on the reception of the students of Madrasah Aliyah Negri (MAN) or State Islamic Senior High School of Tuban (MAN Tuban), East Java. This work is based on two hate narrative issues of Suku, Agama, Ras dan Antargolongan (SARA) or religious, ethnic and intergroup diversity backgrounds, including those of anti-Christianity and those anti-Shiite. This work concludes that the influential factors to the students' reception toward hate narratives come from two categories. First, students are to be the audience of their social systems and backgrounds. The involvement of the students in fundamentalist Muslim groups, in fact, has led them to have exclusive views in seeing others and to feel always under intergroup contestation. Second, the role of the characters of the narratives that influence student’s thought is very important to count. It includes the legitimization through emotion which specifically presents fear and feeling threatened. Those characters have further triggered the students’ empathy to do something beneficial for the sake of the in-group (altruism). In addition, the characters of the narratives have the figures behind them that have influenced students to immediately believe in the narratives they offer only through seeing their profiles on the internet showing their expertise.

Résumé Contexte Etant donné que la spécialité Andrologie se développe, il est important de dresser un inventaire des études les plus importantes qui ont façonné, et qui continuent à façonner, la recherche actuelle et la pratique clinique. L’analyse bibliométrique, qui inclue une liste de rang de citations, est un moyen bien établi pour identifier le matériel publié, dans un champ donné, qui a la plus grande influence intellectuelle. La présente analyse bibliométrique cherche à identifier les 100 manuscrits les plus influents en Andrologie, ainsi que les principaux thèmes de recherche qui ont façonné la compréhension et la prise en charge contemporaines des situations andrologiques. Méthodes La base de données d’indexation des citations du Web of Science de Thompson Reuters a été interrogée en utilisant un nombre de termes de recherche choisis pour refléter l’éventail complet de la pratique andrologique. Les résultats ont été classés selon leur nombre de citations, puis ensuite analysés en fonction du sujet, des premier et dernier auteurs, du journal, de l’année de publication, de l’institution et du pays d’origine. Résultats La recherche sur le Web of Science a rapporté un total de 24 128 manuscrits. Le nombre de citations des 100 premiers articles va de 2 819 à 218 (médiane 320). L’article le plus cité (de Feldman et al., The Journal of Urology 1994 ; 2 819 citations) rapportait la prévalence et les facteurs de risque de la dysfonction érectile (DE) dans l’étude du Massachusetts menée chez l’homme vieillissant. The Journal of Urology a publié le plus grand nombre de manuscrits (n=11), suivi du New England Journal of Medicine (n=10). Le thème le plus souvent représenté dans les manuscrits du top 100 était la dysfonction érectile (n=46), suivi conjointement par l’hypogonadisme et l’infertilité d’origine masculine (respectivement n=24). Conclusion La dysfonction érectile devrait être considérée comme le champ de la pratique andrologique qui a le plus largement fait l’objet de recherches, de publications et de citations. La présente étude fournit une liste des manuscrits les plus influents en andrologie, et constitue une référence sur ce que signifie un article ‘fortement cité’ à la fois pour les chercheurs et pour les cliniciens.

Background: Social media platforms can increase gender diversity and foster community within the neurosurgical field. Women have been historically underrepresented in neurosurgery. The purpose of this study is to compile a list of women neurosurgeons on Twitter according to their social media influence and identify whether social media influence correlates with academic productivity., Methods: Women neurosurgeons (post-residency) in the United States who have Twitter accounts were obtained via the Women in Neurosurgery Twitter account and individuals who used the hashtag: #womeninneurosurgery (n= 50). Social media influence (followers, original posts, likes, retweets) was extracted through Popsters social media analytics platform for each of the accounts from January 1st, 2023 to June 30th, 2023. The efficiency metric standardized retweets for follower count, as well as number of posts. Academic H-index scores were ascertained via SCOPUS. 3 lists were created based off the efficiency metric, follower count, and average likes per post., Results: The relationship between the efficiency metric (average retweets per post per follower) and H-index was not significant at level of p  < 0.05, whereas the relationships between follower count and H-index, and average likes per posts and H-index were significant at p  < 0.05., Conclusion: The significant positive association found between H-index and average likes, as well as H-index and follower count demonstrates that social media influence and academic productivity/influence may go hand in hand. The lists of women neurosurgeons may serve as a guide for individuals interested in following women neurosurgeons on Twitter. Additionally, this would aid in fostering a community supportive of women neurosurgeons. Further, this may also inform individuals who would like to grow their presence on social media on how to build their following., Competing Interests: The authors do not report any conflict of interest concerning the materials or methods used in this study or the findings specified in this paper., (© 2024 The Authors.)

Watts and Dodds (2007) showed that in a simulation, supporters of opinion leaders have larger influence than opinion leaders themselves. In this paper, a case analysis was done of an anonymous housewife who created a network and acquired supporters on a social network and then started an apparel brand. The analysis revealed that influence strengthens by having both (a) a network centered around an opinion leader and (b) a complete network with six hardcore fans acting as supporters.

Objective: Indonesia is one of many developing countries that relies on motorcycles as a major mode of transportation. Unfortunately, the widespread use of motorcycles in Indonesia coincides with a high number of motorcycle accidents which can often be attributed to unsafe behaviors of the motorcyclist. One unsafe behavior that is common and hypothetically associated with accidents is the use of a mobile phone while motorcycling. The aim of the present study was to observe the prevalence and behavior of mobile phone use among Indonesian motorcyclists and the factors that might have influenced their behavior.Methods: Five hundred Indonesian motorcyclists voluntarily participated in this study by filling out a questionnaire that gathered demographic data, motorcycling behaviors, and a statement related to what factors might influence their likelihood to use a mobile phone while motorcycling. A descriptive statistic and Structural Equation Modeling were applied in analyzing the data.Results: Results showed that the prevalence of mobile phone use among Indonesian motorcyclists was 75%. The demographic data that significantly influenced mobile phone use during motorcycling were age, education level, marital status, and number of children. Occupation, gender, and prior experiences that included accidents and tickets with fines did not influence the use of mobile phones during motorcycling. The behavioral model showed that the factors that influenced motorcyclist's intentions to avoid mobile phone use during motorcycling were attitude, perceived behavioral control, and cues to action.Conclusions: This study supports previous findings regarding the high prevalence of mobile phone use among motorcyclists in developing countries. The models implied that further investigation on intervention strategy to minimize mobile phone use during motorcycling is a necessity. [ABSTRACT FROM AUTHOR]

Information diffusion is considered as ubiquitous phenomena. There can be various points of information flow in a social network e.g, social contacts, media. People are connected through their social contacts to construct a social network. Social network is never static as connections keep on changing among the people. Continuously changing network is termed as Temporal or Time varying network. Probability of constructing new connections is higher in comparison to removal of connections. Information flows among the network creates opinion among the people. Opinions of people keep on effecting the others opinion which are neighbours of that person. This is how opinion dynamics work. There are cases of fake news, or spreading good will related to a product or campaigning in politics. Influential nodes play a major role in all these applications. Some high influential nodes according to their location in the network are picked and bribed to spread some information among the network creating a specific required opinion among the social network. In this work, time varying opinion formation models are considered, considering different properties e.g, opinion difference threshold, weighted opinions to consider different types of models e.g, simple model, weighted opinion model, weighted opinion threshold model. It is analyzed that adding which property, influential nodes can work better and influence the network quickly. Opinion Difference Threshold is considered to check the difference of opinions between two neighbouring nodes. Nodes are weighted according to their influence to calculate the weighted opinion. On these models, effect of influential nodes is analyzed. It is also discussed that how much percentage of influential nodes can bring the network to consensus to the required opinion trend. [ABSTRACT FROM AUTHOR]

This paper presents an innovative technique to find out the most influential challenge faced by big data. Presently, the key challenges faced by big data are security, privacy, and accuracy. To prioritize the most influential factor among the three, we need to select the suitable factor that accomplishes our objectives within the available resources. In this study, we propose the Analytic Network Process (ANP) technique for evaluating these challenges. The study also appraises the ANP model in comparison with the priorities of all competing challenges inside the big data. The secondary data has been taken for the ANP analysis from numerous scholarly articles focusing on big data. In our analysis, we have proposed a policy assessment of the relation between big data characteristics and the challenges; it further prioritizes the consequent results for the most influential challenge by using ANP model. The empirical results conclude that the security has the highest influence value i.e. 54% of the total measurement, while privacy and accuracy stand second and third among the most influential factors with 36% and 8% values respectively. Finally, the study provides important clues in the decision-making process in finding the solutions to such challenges faced by big data. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Historical & Cultural Studies an Academic Magazine is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Bloggers in the postmodern era can influence the behaviour of consumers and alter their perceptions. The current study looks at the blogger influence phenomenon from a different theoretical perspective than existing literature did. By combining information behaviour and communication theory, it proposes a new conceptual framework by relying on the characteristics of the blogger, the blog content, motivation, and goals of information seeker. In this model, information seekers' objectives and issue the involvement are important drivers of blog selection and determinants of the blog's influence. The framework was empirically tested in a sample of American users of beauty blogs. The results provide a confirmation of the postulated relationships. Three types of blog visits are identified and their effects and their attributes that make a blog influential are examined. [ABSTRACT FROM AUTHOR]

Background: The field of child and adolescent psychiatry lags behind adult psychiatry significantly. In recent years, it has witnessed a significant increase in the publication of journals and articles. This study provides a detailed bibliometric analysis of articles published from 1980 to 2016, in the top seven journals of child and adolescent psychiatry. Methods: Using the Web of Science core collection, we selected 9,719 research papers published in seven psychiatric journals from 1980 to 2016. We utilized the Web of Science Analytics tool and Network Analysis Interface for Literature Studies (NAILS) Project scripts to delineate the general trends of publication in these journals. Then, co-citation analysis and hierarchical cluster analysis was performed using CiteSpace to map important papers, landmark theories and foci of research in child and adolescent psychiatry. Results: The field of child and adolescent psychiatry has experienced an increasing trend in research, which was reflected in the results of this study. Hierarchical cluster analysis revealed that the research foci in psychiatry were primarily studies related to the design of psychometric instruments, checklists, taxonomy, attention deficit hyperactivity disorder (ADHD), depression, PTSD, social phobia, and psychopharmacology. Moreover, several landmark studies, including the validation of a child behavior checklist, Ainsworth's empirical evidence of Bowlby's attachment theory, and adult outcomes of childhood dysregulation were published. This study also reports rapid expansion and innovation in research areas in the field of child and adolescent psychiatry from 1980-2016. Conclusions: Rapid expansion and innovation in research areas in the field of child and adolescent psychiatry has been observed, from 1980 to 2016.

Marketing researchers and practitioners are interested in targeting individuals in social networks who may have disproportionately higher levels of influence over others in their network. While the extant literature suggests individual characteristics or network position as proxies for relative influence, our study bridges these two streams by investigating the endogenous acquisition of network position as a function of exogenous individual characteristics. Specifically, do those with higher expertise achieve higher influence when people endogenously choose those to whom they listen? Using an agent-based modeling simulation framework, we model the dynamics of two types of individuals, i.e., independents with exogenous information and imitators. Over the course of multiple diffusions, agents choose whom to "listen to" for information; dropping less useful ties and adding new ones. We find that independents can have less influence (out-degree) than imitators who collect information from multiple sources. Furthermore, this effect is exacerbated by homophily. Noise in communication channels, on the other hand, moderates these effects, yet can increase penetration rates. We show that our results are robust to alternative dynamic network structures. Our research suggests that marketers should consider the environment, community characteristics, communication medium, and product domains when assessing the relative influence of individuals. [ABSTRACT FROM AUTHOR]

The paper deals with the classical linear regression model of the dependence of conveyor belt life on some selected parameters: thickness of paint layer, width and length of the belt, conveyor speed and quantity of transported material. The first part of the article is about regression model design, point and interval estimation of parameters, verification of statistical significance of the model, and about the parameters of the proposed regression model. The second part of the article deals with identification of influential and extreme values that can have an impact on estimation of regression model parameters. The third part focuses on assumptions of the classical regression model, i.e. on verification of independence assumptions, normality and homoscedasticity of residuals.

The study of intracranial aneurysms has grown at an astounding rate since Sir Charles Symond’s association of hemorrhage within the subarachnoid space to intracranial aneurysms in 1923. These associations led to the first surgical treatment of an intracranial aneurysm with wrapping by Norman Dott in 1931, and shortly thereafter, clip ligation by Walter Dandy in 1938. Surgical outcomes were improved by the introduction of the operative microscope in the 1960s and perioperative care utilizing induced hypertension, hypovolemia, and hemodilution (“HHH therapy”). Recent monumental advancements, such as coil embolization in 1990 by Guglielmi, have continued to advance the field forward. The authors hope to highlight some of the most seminal and influential works. Herein, we utilize the technique of citation analysis to assemble a list of the 100 most influential works pertaining to aneurysmal subarachnoid hemorrhage published between the years 1900 and 2015 to honor these individuals and to provide guidance to current and future researchers in the field. We additionally calculate the effects of author, journal, topic, and study design on the overall influence of publications in this field. [ABSTRACT FROM AUTHOR]

This paper investigates how scholars in the digital humanities use Twitter for informal scholarly communication. In particular, the paper observes the hosting of an annual conference over a number of years by one association in order to see whether there was a change in the network configuration structure, the influential scholars in the network, the information sources, and the tweet contents. Annual conferences held by the Association of Internet Researchers over 3 years are used for data collection. According to our result, while the Twitter communication network developed into a bigger network, the basic form of the network configuration remained stable as a Tight Crowd structure and the core influential people were not much changed. Analyses on information source and content found topic changes in each year but consistency in the kind of information source and content. [ABSTRACT FROM AUTHOR]

Opinion leaders are influencing other people and often are enjoying a special response and respect. Especially in rural areas opinion leaders are held in high esteem by those who accept their opinions. However, usually is very difficult to identify them and even more difficult to explore the behavioural dimensions of their leadership. In this paper an attempt has been made to segment farmers in distinguishable clusters with similar traits according to the degree of their leadership ability. Besides, this paper aims a) to recognize the real rural «influentials», b) to determine their importance and role in rural communities and c) to explore their socio-economic characteristics insofar those affecting their leadership. For this reason a survey was employed in a large sample of 450 farmers in a typical rural region in northern Greece. Using Two-Step Cluster analysis and other multivariate statistical techniques the sample was stratified in five general distinct clusters according to the generalizations of the related theories. In particular, it was found that the majority of participants are «opinion laggards» or «farmers who consider themselves as opinion leaders although they really are not» while a smaller percentage are the «farmers who believe that they have only some leadership traits» and few of them are the real «opinion leaders» or «influentials». This segmentation is very important in offering the knowledge to apply specialized policies based on the particular characteristics of each cluster. Moreover, considering that the application of individualized policy is easier and less costly we can use this methodology as a guide of identification of the “opinion leaders”, so that they can be potentially used as “intermediates” of agricultural policies and as “tools” of influence over the rest of the farmers and mainly over the “opinion laggards”. [ABSTRACT FROM AUTHOR]

Copyright of Nursing of Integrated Traditional Chinese & Western Medicine is the property of Journal of Clinical Nursing in Practice (Editorial Board, Shanghai Jiao Tong University Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To date, no research has been undertaken to examine what constitutes high citation counts. This study examined the quantifiable characteristics in publications and investigated their associations with citation per year. That is, this study empirically examined the relationships with length, authorship, and collaboration and citation counts in the 300 most cited publications in tourism and hospitality journals. The results reveal a negative relationship between the length of a title and citation per year. [ABSTRACT FROM PUBLISHER]

The use of quantitative methods, including stochastic and exploratory techniques in environmental studies does not seem to be sufficient in practical aspects. There is no comprehensive analytical system dedicated to this issue, as well as research regarding this subject. The aim of this study is to present the Eco Data Miner system, its idea, construction and implementation possibility to the existing environmental information systems. The methodological emphasis was placed on the one-dimensional data quality assessment issue in terms of using the proposed QAAH1 method - using harmonic model and robust estimators beside the classical tests of outlier values with their iterative expansions. The results received demonstrate both the complementarity of proposed classical methods solution as well as the fact that they allow for extending the range of applications significantly. The practical usefulness is also highly significant due to the high effectiveness and numerical efficiency as well as simplicity of using this new tool. [ABSTRACT FROM AUTHOR]

This paper builds on results from a previous phenomenological study examining characteristics of influential facilitators of elementary mathematics professional development. The current study utilized a survey design where results from the qualitative investigation were quantitized to develop an instrument that allowed participants to identify qualities of facilitators that are necessary to motivate teachers to be engaged in professional development sessions related to mathematics at the elementary level. This paper describes the instrument development process and results when implemented to a sample of teachers in the USA ( n = 565). Findings from this research indicate that participants share the same perceptions of what it means to be an influential facilitator as participants from the phenomenological investigation of facilitator characteristics. [ABSTRACT FROM AUTHOR]

It has been nearly two decades since Gabriel Almond observed that political scientists tend to sit at ‘separate tables’. Surprisingly, there has been no attempt to ask extensively among the members of the profession what they actually believe about its essential meaning, purpose, and trajectory. This paper is based on a questionnaire sent to faculty in more than 500 political science departments worldwide. Respondents were asked to define political science, to list three works that best represent political science as they understand it, and to give their views regarding what political science will be over the next twenty years.European Political Science (2008) 7, 207–219. doi:10.1057/palgrave.eps.2210171 [ABSTRACT FROM AUTHOR]

Introduction: Bibliometrics can trace the overall research trend in a specific field. To our knowledge, there has been no comprehensive bibliometric analysis of all anterior cruciate ligament (ACL) research from 2000-2019. We provided a bibliometric and visualized analysis of the top 100 highly-cited articles on ACL indexed by the Web of Science (WoS) to provide researchers with the present research status and the potential direction of ACL research., Hypothesis: A bibliometric and visualized analysis of the top 100 highly-cited articles on ACL may identify the research trends, popular journals, core countries, influential institutions and authors in this field., Material and Methods: We obtained data from the WoS Core Collection on February 20, 2020. Qualitative and quantitative analyses were conducted based on the WoS. Collaboration and keywords analysis was performed using the VOSviewer software., Results: The top 100 highly-cited literatures included 88 articles and 12 reviews. The average total citations was 325 (ranging 197 to 1,423). The article with 1432 citations published by Hewett TE et al. in 2005 was the most influential reference. Sixteen cohort studies and 14 clinical randomized controlled trials were included among the 100 literatures. Twenty-three journals published the top 100 literatures. The American Journal of Sports Medicine published 44 papers with 15,665 citations. The USA published 65 highly-cited articles. The University of Pittsburgh published 13 literatures with 3,966 citations. Hewett TE published 11 papers with 4,806 citations. Extensive collaboration existed worldwide. Reconstruction, kinematics, posterolateral bundle, in-situ forces, neuromuscular control, long-term follow-up, tunnel placement, and prevention were the most common keywords., Discussion: In this field, The American Journal of Sports Medicine was the most influential journal. The USA was the most productive and influential country. Researchers and institutions from North America and Europe contributed the most. Regarding the treatments for ACL injuries, we do need well-reported and good-quality enduring randomized trials to assess the effectiveness and cost-effectiveness of current treatments., Level of Proof: IV; retrospective analysis., (Copyright © 2021 Elsevier Masson SAS. All rights reserved.)