scholarly journals A Systematic Literature Review of Sexual Harassment Studies with Text Mining

2021 ◽  
Vol 13 (12) ◽  
pp. 6589
Author(s):  
Amir Karami ◽  
Melek Yildiz Spinel ◽  
C. Nicole White ◽  
Kayla Ford ◽  
Suzanne Swan
Keyword(s):  
Text Mining ◽  
Sexual Harassment ◽  
Literature Review ◽  
Trend Analysis ◽  
Temporal Trend ◽  
Temporal Trends ◽  
Research Papers ◽  
Qualitative Approaches ◽  
Research Theme ◽  
Wide Range

Sexual harassment has been the topic of thousands of research articles in the 20th and 21st centuries. Several review papers have been developed to synthesize the literature about sexual harassment. While traditional literature review studies provide valuable insights, these studies have some limitations including analyzing a limited number of papers, being time-consuming and labor-intensive, focusing on a few topics, and lacking temporal trend analysis. To address these limitations, this paper employs both computational and qualitative approaches to identify major research topics, explore temporal trends of sexual harassment topics over the past few decades, and point to future possible directions in sexual harassment studies. We collected 5320 research papers published between 1977 and 2020, identified and analyzed sexual harassment topics, and explored the temporal trend of topics. Our findings indicate that sexual harassment in the workplace was the most popular research theme, and sexual harassment was investigated in a wide range of spaces ranging from school to military settings. Our analysis shows that 62.5% of the topics having a significant trend had an increasing (hot) temporal trend that is expected to be studied more in the coming years. This study offers a bird’s eye view to better understand sexual harassment literature with text mining, qualitative, and temporal trend analysis methods. This research could be beneficial to researchers, educators, publishers, and policymakers by providing a broad overview of the sexual harassment field.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

scholarly journals The Multiple Waves of COVID-19 in Patients With Inflammatory Bowel Disease: A Temporal Trend Analysis

2022 ◽  
Author(s):  
Gilaad G Kaplan ◽  
Fox E Underwood ◽  
Stephanie Coward ◽  
Manasi Agrawal ◽  
Ryan C Ungaro ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Latin America ◽  
North America ◽  
Trend Analysis ◽  
Bowel Disease ◽  
Temporal Trend ◽  
Temporal Trends ◽  
International Registry ◽  
Inflammatory Bowel

Abstract Background Cases of coronavirus disease 2019 (COVID-19) have emerged in discrete waves. We explored temporal trends in the reporting of COVID-19 in inflammatory bowel disease (IBD) patients. Methods The Surveillance Epidemiology of Coronavirus Under Research Exclusion for Inflammatory Bowel Disease (SECURE-IBD) is an international registry of IBD patients diagnosed with COVID-19. The average percent changes (APCs) were calculated in weekly reported cases of COVID-19 during the periods of March 22 to September 12, September 13 to December 12, 2020, and December 13 to July 31, 2021. Results Across 73 countries, 6404 cases of COVID-19 were reported in IBD patients. COVID-19 reporting decreased globally by 4.2% per week (95% CI, −5.3% to −3.0%) from March 22 to September 12, 2020, then climbed by 10.2% per week (95% CI, 8.1%-12.3%) from September 13 to December 12, 2020, and then declined by 6.3% per week (95% CI, −7.8% to −4.7%). In the fall of 2020, weekly reporting climbed in North America (APC, 11.3%; 95% CI, 8.8-13.8) and Europe (APC, 17.7%; 95% CI, 12.1%-23.5%), whereas reporting was stable in Asia (APC, −8.1%; 95% CI, −15.6-0.1). From December 13, 2020, to July 31, 2021, reporting of COVID-19 in those with IBD declined in North America (APC, −8.5%; 95% CI, −10.2 to −6.7) and Europe (APC, −5.4%; 95% CI, −7.2 to −3.6) and was stable in Latin America (APC, −1.5%; 95% CI, −3.5% to 0.6%). Conclusions Temporal trends in reporting of COVID-19 in those with IBD are consistent with the epidemiological patterns COVID-19 globally.

A Study on the Trend Analysis Based on Personal Information Threats Using Text Mining

2019 ◽  
Vol 19 (2) ◽  
pp. 29-38
Author(s):  
Young-Hee Kim ◽  
◽  
Taek-Hyun Lee ◽  
Jong-Myoung Kim ◽  
Won-Hyung Park ◽  
...  
Keyword(s):  
Text Mining ◽  
Trend Analysis ◽  
Personal Information

Reporting trends of p values in the neurosurgical literature

2020 ◽  
Vol 132 (2) ◽  
pp. 662-670
Author(s):  
Minh-Son To ◽  
Alistair Jukes
Keyword(s):  
Text Mining ◽  
Publication Bias ◽  
Temporal Trends ◽  
P Values ◽  
Significance Threshold

OBJECTIVEThe objective of this study was to evaluate the trends in reporting of p values in the neurosurgical literature from 1990 through 2017.METHODSAll abstracts from the Journal of Neurology, Neurosurgery, and Psychiatry (JNNP), Journal of Neurosurgery (JNS) collection (including Journal of Neurosurgery: Spine and Journal of Neurosurgery: Pediatrics), Neurosurgery (NS), and Journal of Neurotrauma (JNT) available on PubMed from 1990 through 2017 were retrieved. Automated text mining was performed to extract p values from relevant abstracts. Extracted p values were analyzed for temporal trends and characteristics.RESULTSThe search yielded 47,889 relevant abstracts. A total of 34,324 p values were detected in 11,171 abstracts. Since 1990 there has been a steady, proportionate increase in the number of abstracts containing p values. There were average absolute year-on-year increases of 1.2% (95% CI 1.1%–1.3%; p < 0.001), 0.93% (95% CI 0.75%–1.1%; p < 0.001), 0.70% (95% CI 0.57%–0.83%; p < 0.001), and 0.35% (95% CI 0.095%–0.60%; p = 0.0091) of abstracts reporting p values in JNNP, JNS, NS, and JNT, respectively. There have also been average year-on-year increases of 0.045 (95% CI 0.031–0.059; p < 0.001), 0.052 (95% CI 0.037–0.066; p < 0.001), 0.042 (95% CI 0.030–0.054; p < 0.001), and 0.041 (95% CI 0.026–0.056; p < 0.001) p values reported per abstract for these respective journals. The distribution of p values showed a positive skew and strong clustering of values at rounded decimals (i.e., 0.01, 0.02, etc.). Between 83.2% and 89.8% of all reported p values were at or below the “significance” threshold of 0.05 (i.e., p ≤ 0.05).CONCLUSIONSTrends in reporting of p values and the distribution of p values suggest publication bias remains in the neurosurgical literature.

A Study on the Benefits of Convenience Foods to Working Women

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Sunder Srinivasan ◽  
Kiran Murlidhar Shende
Keyword(s):  
Literature Review ◽  
Food Industry ◽  
Working Women ◽  
Secondary Data ◽  
Primary Data ◽  
Graphical Form ◽  
Clear Understanding ◽  
Research Papers ◽  
Convenience Food ◽  
Women In India

The last decade and half has seen a remarkable growth in the working women segment in India and so has the manufacture of convenience food industry grown in the last decade. The working women in India who today are not only just seeking jobs but also are career oriented. Apart from their jobs, career, meetings and targets they are also a part of a family where a working woman needs to care of their meals too. This study aims at finding out about the use of convenience food by working women and of their need to choose, the type of convenience food they generally prefer and what benefits they see by using such a convenient product. The primary data for this study has been collected through questionnaire from women of various working segments and the same has been presented in graphical form for clear understanding while the secondary data has been collected through literature review of various research papers, articles and books.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

scholarly journals Experimental Economics in Agriculture: A Review of Worldwide Research

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1566
Author(s):  
Ernesto Mesa-Vázquez ◽  
Juan F. Velasco-Muñoz ◽  
José A. Aznar-Sánchez ◽  
Belén López-Felices
Keyword(s):  
Environmental Policy ◽  
Literature Review ◽  
Public Goods ◽  
Experimental Economics ◽  
Scientific Production ◽  
Bibliometric Study ◽  
Agricultural Activity ◽  
Global Level ◽  
Policy Makers ◽  
Wide Range

Over the last two decades, experimental economics has been gaining relevance in the research of a wide range of issues related to agriculture. In turn, the agricultural activity provides an excellent field of study within which to validate the use of instruments employed by experimental economics. The aim of this study is to analyze the dynamics of the research on the application of experimental economics in agriculture on a global level. Thus, a literature review has been carried out for the period between the years 2000 and 2020 based on a bibliometric study. The main results show that there has been a growing use of experimental economics methods in the research on agriculture, particularly over the last five years. This evolution is evident in the different indicators analyzed and is reflected in the greater scientific production and number of actors involved. The most relevant topics within the research on experimental economics in agriculture focus on the farmer, the markets, the consumer, environmental policy, and public goods. These results can be useful for policy makers and researchers interested in this line of research.

Report on CLEF 2019

2019 ◽  
Vol 53 (2) ◽  
pp. 108-118
Author(s):  
Martin Braschler ◽  
Linda Cappellato ◽  
Fabio Crestani ◽  
Nicola Ferro ◽  
Gundula Heinatz Bürki ◽  
...  
Keyword(s):  
Standard Test ◽  
Future Perspectives ◽  
Research Papers ◽  
Test Collections ◽  
Lessons Learnt ◽  
Wide Range ◽  
The Future ◽  
20Th Anniversary

This is a report on the tenth edition of the Conference and Labs of the Evaluation Forum (CLEF 2019), held from September 9--12, 2019, in Lugano, Switzerland. CLEF was a four day event combining a Conference and an Evaluation Forum. The Conference featured keynotes by Bruce Croft, Yair Neuman, and Miguel Martínez, and presentation of peer reviewed research papers covering a wide range of topics in addition to many posters. The Evaluation Forum consisted to nine Labs: CENTRE, CheckThat, eHealth, eRisk, ImageCLEF, LifeCLEF, PAN, PIR-CLEF, and ProtestNews, addressing a wide range of tasks, media, languages, and ways to go beyond standard test collections. CLEF 2019 marked the 20th anniversary of CLEF, which was celebrated with a dedicated session and a book on the lessons learnt in twenty years of evaluation activities and the future perspectives for CLEF. CLEF 2019 also introduced the Industry Days to further extend the reach and impact of CLEF.

scholarly journals TREASURE: Text Mining Algorithm Based On Affinity Analysis and Set Intersection to Find the Action of Tuberculosis Drugs against Other Pathogens

2021 ◽  
Vol 11 (15) ◽  
pp. 6834
Author(s):  
Pradeepa Sampath ◽  
Nithya Shree Sridhar ◽  
Vimal Shanmuganathan ◽  
Yangsun Lee
Keyword(s):  
Text Mining ◽  
Causes Of Death ◽  
Intersection Property ◽  
Research Papers ◽  
Bacterial Diseases ◽  
Mining Algorithm ◽  
Set Intersection ◽  
The World ◽  
Medical Researchers

Tuberculosis (TB) is one of the top causes of death in the world. Though TB is known as the world’s most infectious killer, it can be treated with a combination of TB drugs. Some of these drugs can be active against other infective agents, in addition to TB. We propose a framework called TREASURE (Text mining algoRithm basEd on Affinity analysis and Set intersection to find the action of tUberculosis dRugs against other pathogEns), which particularly focuses on the extraction of various drug–pathogen relationships in eight different TB drugs, namely pyrazinamide, moxifloxacin, ethambutol, isoniazid, rifampicin, linezolid, streptomycin and amikacin. More than 1500 research papers from PubMed are collected for each drug. The data collected for this purpose are first preprocessed, and various relation records are generated for each drug using affinity analysis. These records are then filtered based on the maximum co-occurrence value and set intersection property to obtain the required inferences. The inferences produced by this framework can help the medical researchers in finding cures for other bacterial diseases. Additionally, the analysis presented in this model can be utilized by the medical experts in their disease and drug experiments.

Sign in / Sign up

Export Citation Format

Share Document