Publication Record Research Articles

Loma Linda University School of Medicine.

Loma Linda University School of Medicine.

Racism and racial inequities in health care rise to the forefront: Amid the country's national reckoning on race, experts are renewing their focus on systemic racism in the health care system.

Racism and racial inequities in health care rise to the forefront: Amid the country's national reckoning on race, experts are renewing their focus on systemic racism in the health care system.

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HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommender system

Manually selecting appropriate scholarly venues is becoming a tedious and time-consuming task for researchers due to many reasons that include relevance, scientific impact, and research visibility. Sometimes, high-quality papers get rejected due to mismatch between the area of the paper and the scope of the journal. Recommending appropriate academic venues can, therefore, enable researchers to identify and take part in relevant conferences and publish in journals that matter the most. A researcher may certainly know of a few leading venues for her specific field of interest. However, a venue recommendation system becomes particularly helpful when exploring a new domain or when more options are needed. Due to high dimensionality and sparsity of text data, and complex semantics of the natural language, journal identification presents difficult challenges. We propose a novel and unified architecture that contains a Bi-directional LSTM (Bi-LSTM) and a Hierarchical Attention Network (HAN) to address the above problems. We call the proposed architecture modularized Hierarchical Attention-based Scholarly Venue Recommender system (HASVRec), which only requires the abstract, title, keywords, field of study, and author of a new paper along with its past publication record to recommend scholarly venues. Experiments on the DBLP-Citation-Network V11 dataset exhibit that our proposed approach outperforms several state-of-the-art methods in terms of accuracy, F1, nDCG, MRR, average venue quality, and stability.

Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record.

The spread of mosquito-borne diseases in Southeast Asia has dramatically increased in the latest decades. These infections include dengue, chikungunya and Japanese Encephalitis (JE), high-burden viruses sharing overlapping disease manifestation and vector distribution. The use of Geographical Information Systems (GIS) to monitor the dynamics of disease and vector distribution can assist in disease epidemic prediction and public health interventions, particularly in Southeast Asia where sustained high temperatures drive the epidemic spread of these mosquito-borne viruses. Due to lack of accurate data, the spatial and temporal dynamics of these mosquito-borne viral disease transmission countries are poorly understood, which has limited disease control effort. By following studies carried out on these three viruses across the region in a specific time period revealing general patterns of research activities and characteristics, this review finds the need to improve decision-support by disease mapping and management. The results presented, based on a publication search with respect to diseases due to arboviruses, specifically dengue, chikungunya and Japanese encephalitis, should improve opportunities for future studies on the implementation of GIS in the control of mosquito-borne viral diseases in Southeast Asia.

Breaking barriers? Ethnicity and socioeconomic background impact on early career progression in the fields of ecology and evolution.

The academic disciplines of Science, Technology, Engineering and Mathematics (STEM) have long suffered from a lack of diversity. While in recent years there has been some progress in addressing the underrepresentation of women in STEM subjects, other characteristics that have the potential to impact on equality of opportunity have received less attention. In this study, we surveyed 188 early career scientists (ECRs), defined as within 10 years of completing their PhD, in the fields of ecology, evolutionary biology, behaviour, and related disciplines. We examined associations between ethnicity, age, sexual orientation, sex, socioeconomic background, and disability, with measures of career progression, namely publication record, number of applications made before obtaining a postdoc, type of contract, and number of grant applications made. We also queried respondents on perceived barriers to progression and potential ways of overcoming them. Our key finding was that socioeconomic background and ethnicity were associated with measures of career progression. While there was no difference in the number of reported first‐authored papers on PhD completion, ethnic minority respondents reported fewer other‐authored papers. In addition, ECRs from a lower socioeconomic background were more likely to report being in teaching and research positions, rather than research‐only positions, the latter being perceived as more prestigious by some institutions. We discuss our findings in the context of possible inequality of opportunity. We hope that this study will stimulate wider discussion and help to inform strategies to address the underrepresentation of minority groups in the fields of ecology and evolution, and STEM subjects more widely.

Gender differences in academic rank among faculty surgeons at US veterinary schools in 2019.

To describe academic rank, gender, surgical career length, and publication record of academic veterinary surgeons and to estimate the association between gender and higher academic rank. Cross-sectional study. Residency-trained surgeons at US veterinary schools in 2019. Surgeons were identified via institutional websites. Data including surgeon gender, academic title, and year of board certification were collected from public resources. Publication record was measured by using author h-indices obtained from Scopus. Data were analyzed with descriptive and inferential statistics. Three hundred eighteen surgeons were identified from 30 institutions, including 162 (51%) women and 156 (49%) men. Women represented 66% of instructors and assistant professors, and men represented 60% of associate and full professors. This distribution differed significantly (P < .001). Author h-index was associated with career length but not gender. Men were 2.5 times more likely than women to be associate or full professors (odds ratio 2.52, 95% CI 1.03-6.14, P = .042) after adjustment for career length and h-index. Female surgery faculty at US veterinary schools in 2019 were concentrated in lower academic ranks and were less likely than male surgery faculty to be associate or full professors after adjustment for career length and publication record. A gender gap exists in academic veterinary surgery in the United States. It is critical to recognize that women's increasing participation in veterinary medicine has not been matched by equal representation in all areas. Additional efforts are warranted to identify contributing factors and implement strategies to improve gender inclusion.

In-Office Ultrasound Facilitates Timely Clinical Care at a Multidisciplinary Kidney Stone Center.

A considerable publication record exists comparing sensitivity and specificity of radiological ultrasound (including point of care ultrasound) to computerized tomography for stone disease. However, the practical application of in-office ultrasound to support the growing number of kidney stone centers around the world represents a nuanced topic that is ripe for study and discussion. We provide a descriptive analysis of how in-office ultrasound is being used as an adjunct to clinical care based on our experience during 50 days in clinic at an institutionally affiliated, multidisciplinary kidney stone center. Clinic subjects gave consent and underwent ultrasound as part of research studies. Ultrasonograms were shared with and verified by the treating physician before the patient was discharged from care. We counted the number of times research imaging altered the care plan. Of the 60 patients enrolled the clinician used the information obtained from the studies in 20 (33%) to determine the course of clinical care that resulted in a change in treatment or process. Ultrasound has the potential to be a cost-effective and valuable tool that can provide more efficient workflow within a kidney stone center or urology clinic.

Collaboration via co-authorship trends in Government of Canada forestry research

As part of its long history, the Canadian Forest Service (CFS) has a mandate to collaborate and share its scientific research. Publishing peer-reviewed scientific literature is an important part of this process. Using a database of CFS publications over the past fifty years, we highlight the continuing publication record of this sector of the Canadian government. The average number of authors reported in the CFS bookstore increased from 1.4 authors per article in the 1960s and 1.5 in the 1970s to just under five authors per publication from 2010 to 2018. Our work also illustrates challenges with longitudinal analysis of citation databases. In particular, use of a popular citation database resulted in significantly fewer articles authored by one person, and significantly more articles with twenty or more authors compared to the publicly available CFS “bookstore” of publications. Based on our findings, we outline a number of recommendations for use of citation data to inform collaboration research.

Publisher's Note: Wang, C., Zhang, Q., Liu, W., Liu, Y. &amp; Miao, L. Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov. 9, e1278 (2019). https://doi.org/10.1002/widm.1278

WIREs Data Mining and Knowledge DiscoveryVolume 10, Issue 5 e1370 Publisher's NoteFree Access Publisher's Note: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov. 9, e1278 (2019). https://doi.org/10.1002/widm.1278 This article corrects the following: Expression of Concern: Facial feature discovery for ethnicity recognition Cunrui Wang, Qingling Zhang, Wanquan Liu, Yu Liu, Lixin Miao, Volume 9Issue 1Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery First Published online: August 2, 2018 First published: 28 April 2020 https://doi.org/10.1002/widm.1370 [Correction added on 28 May 2020 after first online publication: The first and last paragraphs of this note were edited to better reflect the concerns that were raised.] AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Wiley received notification of concern about whether the ethical requirements for human subject research were met in a study by Wang, C. and colleagues that was published in WIREs Data Mining Knowledge Discovery (Wang et al., 2019) on August 2, 2018. Study participants are reported to be from ethnic or religious minority groups, with some considered part of a vulnerable population. Wiley and the WIREs editorial team launched an investigation in response to these concerns to check compliance with acceptable standards for ethics approval and consent; the investigation concluded with the decision to retain the article in the publication record. The investigation established that: All research participants were students at Dalian Minzu University and volunteered to participate. The authors provided multiple signed consent forms with signatures sufficiently distinct upon our inspection. Each consent form permits use of the participant's photo for commercial and non-commercial purposes as part of the study and use in any resulting publications. The authors verified that each participant was verbally informed of the study's aim prior to signing the consent form. The authors, during their research, gathered two data points from each participant: ethnicity and a photo, and removed all other personally identifiable information. The data used in the article was collected in 2014, at which time there was no national guidance with a cohesive set of ethical criteria related to computational or social science research. In carrying out their research, the authors first collected the data then sought university ethics approval to use the data in their research. They received approval to carry out their research on the data roughly six months after applying. The authors sought, and received, approval from their university's research ethics review committee to reuse the data each year since the initial submission in 2014. They provided the university approval forms from 2017 and 2018, which were the most recent approvals they had received prior to submitting their article to the Journal in 2018. The authors maintain that they pursued ethical approval for their research that was consistent with university, local, and national requirements at the time (2014). Based on the Journal's assessment of the evidence collected during the investigation, research participants were volunteers, were made aware of the study's intent, and provided appropriate license for data to be used in the research and, eventually, publication. Wiley and the Journal editors recognize that the authors provided definitions of ethnicity, race, and nationality within the article that do not conform to current anthropological and sociological standards. The authors’ limited understanding of these perspectives has contributed to a racialist tone throughout the article. Wiley and the Journal editors do not endorse these perspectives, but we understand that these authors are not anthropologists and that these concepts might be understood differently in different parts of the world. Our investigation concludes that the research reported by Wang and colleagues does appear to be in compliance with acceptable standards for conducting human subject research and that the authors followed the basic local and international standards for obtaining consent that could reasonably be expected at the time they conducted the research. REFERENCE Wang, C., Zhang, Q., Liu, W., Liu, Y., & Miao, L. (2019). Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov., 9, e1278. https://doi.org/10.1002/widm.1278 Volume10, Issue5September/October 2020e1370 ReferencesRelatedInformation

From Bivariate to Multivariate Analysis of Cytometric Data: Overview of Computational Methods and Their Application in Vaccination Studies.

Flow and mass cytometry are used to quantify the expression of multiple extracellular or intracellular molecules on single cells, allowing the phenotypic and functional characterization of complex cell populations. Multiparametric flow cytometry is particularly suitable for deep analysis of immune responses after vaccination, as it allows to measure the frequency, the phenotype, and the functional features of antigen-specific cells. When many parameters are investigated simultaneously, it is not feasible to analyze all the possible bi-dimensional combinations of marker expression with classical manual analysis and the adoption of advanced automated tools to process and analyze high-dimensional data sets becomes necessary. In recent years, the development of many tools for the automated analysis of multiparametric cytometry data has been reported, with an increasing record of publications starting from 2014. However, the use of these tools has been preferentially restricted to bioinformaticians, while few of them are routinely employed by the biomedical community. Filling the gap between algorithms developers and final users is fundamental for exploiting the advantages of computational tools in the analysis of cytometry data. The potentialities of automated analyses range from the improvement of the data quality in the pre-processing steps up to the unbiased, data-driven examination of complex datasets using a variety of algorithms based on different approaches. In this review, an overview of the automated analysis pipeline is provided, spanning from the pre-processing phase to the automated population analysis. Analysis based on computational tools might overcame both the subjectivity of manual gating and the operator-biased exploration of expected populations. Examples of applications of automated tools that have successfully improved the characterization of different cell populations in vaccination studies are also presented.

Dispensary, home, and ‘a women’s army’: Framing tubercular geographies and gender in late Ottoman Turkey

In Western states of the late nineteenth and early twentieth centuries, tuberculosis (TB) came to be regarded as one of the most lethal infectious diseases. Responses to this universal malady were globally interconnected and both reflected and created unique spatialities within the cultures, politics and practices of an emerging modern medicine. The late Ottoman Empire actively responded to TB, investing in medical research and international exchanges of knowledge and personnel. In this article we interrogate the geographic focus that Ottoman leaders began to place on dispensaries and homes as they searched for solutions. Concentrating on the writings of Besim Ömer Akalın – due to his decisive positions in medicine and society and his prodigious record of publication – our analysis reveals that his contribution to this effort also focused heavily on medicalizing modern notions of home, womanhood and motherhood. Beyond seeking to harness women’s labor in the empire’s TB struggle, his agenda to raise a ‘women’s army’ also sought to utilize this struggle to gain better access to the population’s families while redefining women’s pivotal roles and obligations within their own households. Spanning the empire-to-republic transition, Akalın’s relevance and influence persist well into the present nation-state era, wherein he has been celebrated with numerous appellations that include ‘Turkey’s father of modern obstetrics and gynecology’. In addition to contributing to the global histories of TB and struggles to overcome it, our research also contributes to scholarship on the gendered domestication of health and wellness.

Preface

Conference proceedings on papers presented at the conference on 3rd International Conference on ‘Nanotechnology Applications in Africa: Opportunities and Constraints’ held on 22-24 October, 2019 at the Ladoke Akintola University of Technology, Ogbomoso, Nigeria. It gives me a great pleasure to write the preface for this conference proceeding. It is more gratifying to have the conference proceeding published in partnership with the Institute of Physics Conference Series: Materials Science and Engineering; a reputable and prestigious platform renowned for the publication of conference proceedings worldwide.The organizers of the conference, the LAUTECH Nanotechnology Research Group (NANO +) (www.lautechnanotech.com) is a multidisciplinary research group with the focus of conducting cutting-edge research in nanotechnology and dissemination of information about the discipline in Nigeria and beyond. The group was formed on September 4, 2014 with the track record of publications and organization of workshop and conferences. In 2017, the group organized a workshop on ‘Synthesis, characterization and applications of nanoparticles’, while a workshop cum conference tagged ‘Nanotechnology for sustainable development: opportunities for Africa’ was organized in 2018. Among the papers presented at the conference, fourteen of them were published in Volume 23 issue 2 of Science Focus, the flagship journal of the Faculty of Pure and Applied Sciences, Ladoke Akintola University of Technology, Ogbomoso, Nigeria (https://sciencefocuslautech.org/).

Effective publication strategies in clinical research.

Researchers in Europe are increasingly assessed by their publication metrics. To uncover the effect of quantitative assessment on the publication strategies of clinical researchers in Denmark, we interviewed 9 senior researchers at the Department of Clinical Research at the University of Southern Denmark with the lowest and highest values for a, as defined by Hirsch. Our aim is to investigate the importance of these metrics to their academic careers: h-index, number of publications, number of citations, international collaborations, local collaborations, field specific journal publishing and high journal impact factor publishing. To validate our findings we compared their publication record to their statistically analyzed stated publication strategy. Our results indicate two styles of publication strategy used by these senior researchers. Researchers with Low a engage in local collaborations, disseminate knowledge in local media and publish in field specific journals, while researchers with High a engage in international collaborations, invest significant time in publishing in the highest impact journals in their field, and acquire a greater number of citations. Both publication strategies can lead to a successful academic career, yet we have an indication through the h5-index that the practices of the High a group are more likely to nudge the h-index.

Decoding Publication Records: Ruptures and Continuities in 1940s Taiwanese Literary History

This study identifies and interprets dominant developments in the Taiwanese literary field by examining data included in publication catalogs of literary journals and supplements from 1940 to 1953. Utilizing social network analysis, it focuses on both ruptures caused by crucial political events and continuities that spanned these ruptures. The study revisits central tenets of Taiwanese literary history and, by seeking to articulate structuring principles, also unveils new perspectives on how to map and interpret the dynamics of literary systems and the ways in which they mesh with society. It thereby exemplifies how digital humanities can guide researchers toward new historical insights.

4 Archetype Reasons for Editorial Rejection

What makes an innovative materials study? Conceptual novelty is intrinsically difficult to quantify. There are common pitfalls that lead to rejection without review, leading to an editorial shorthand of archetype rejections. Here, we describe the most common reasons for rejection at Matter.

Assessing the Scientific Impact of Individual Scholars With Multi-Scale H-Index

Quantitative evaluation on the individual’s scientific impact is an important research topic in the academic evaluation fields. Following the pioneering milestone of h-index, many variants have been proposed and but still suffer some limitations. In this paper, we propose a novel multi-scale h-index (MH-index, or Ma-Huang index) to comprehensively measure the scientific impact of scholars based on the publication record. We investigate the index from the mathematical perspective of correlation function between citation count and paper number. We reveal that different definitions of the correlation function lead to different index schemes. By defining the correlation functions with gradually varied slope, we can obtain a series of index elements, each of which captures the citation record in different granularities. Our approach can be essentially interpreted as a generalized h-index in multiple scales, which is obtained by first generating a multi-scale representation of a scholar’s paper citation record and then calculating the h-index score for each scale. Our approach can be extended to consider all publication citations and subtly emphasizes those highly cited publications. To validate the proposed indicators, an experimental study is conducted on 82 scholars in the scientometrics field and comparison is made with several existing indices. Our proposed MH-index is demonstrated to be more balanced and fine-grained for evaluating and comparing the scientific impact of individual scientists.

Publication Records of Newly Tenured Business Administration Professors – Do They Differ Over Time and Across Disciplines?

Publication Records of Newly Tenured Business Administration Professors – Do They Differ Over Time and Across Disciplines?

Editorial introductions

Editorial introductions

Российские лингвисты: наукометрическое ранжирование

The article deals with scientometric analysis of publications by 40 wide-known Russian linguists. The linguists are ranked by h-index, the number of publications and citations according to the data of Russian Science Citation Index. This research examines the factors affecting h-index and citation rates: involvement in leading research areas, carrying out scientific inquiries in top universities and academic research institutes, high prestige of relevant journals and publishers, and publishing textbooks and monographs. The s-index (self-citation index) is proposed as an additional scienometric measuring of individual's publication record. The s-index is computed by taking the ratio of h-index to h-index calculated without self-citations. It is concluded that scientometric analysis of h-index and s-index can be one of the objective tools for evaluation of scholars. At the same time, the methods of scientometrics need to be improved, including better coordination of national databases and global scientometric sources (Scopus, Web of Science, etc.). A promising area of applied scientometrics is the use of expert assessments made by qualified specialists in the relevant field of knowledge and the expansion of evaluation parameters.