Advanced Search Engine Research Articles

The Universal Culture of COVID-19 as Provoked by the War Against COVID-19 Metaphor

Previous studies tackling the subject of the COVID-19 pandemic found that most of the metaphors used in different genres on the subject are related to war. These war metaphors have been found to have the effects of raising awareness and creating a sense of urgency about the situation, therefore gaining support, bringing calm and stability, and promoting some emotional interaction. This study focused on the Arabic metaphors used during the different stages of the COVID-19 pandemic, i.e., from the time the pandemic began to emerge to the time of lockdown and curfew to the invention of the vaccine and of the suggestion of taking multiple doses. Data were collected from Twitter using its advanced search engine. The importance of this study lies in the fact that previous studies tackling the topic have not focused on metaphors using such a diachronic approach. Furthermore, the causes and effects of using COVID-19 metaphors in previous studies were found to be similar to the ones in this study. The resulting metaphors reflected some of the diachronic changes brought on by the COVID-19 global situation. These results are indicative of the match between the global situation invoked by the pandemic and the conceptualization of this situation as realized in language regardless of which language this is or to what culture it belongs.

Creating and leveraging bespoke large-scale knowledge graphs for comparative genomics and multi-omics drug discovery with SocialGene.

The rapid expansion of multi-omics data has transformed biological research, offering unprecedented opportunities to explore complex genomic relationships across diverse organisms. However, the vast volume and heterogeneity of these datasets presents significant challenges for analyses. Here we introduce SocialGene, a comprehensive software suite designed to collect, analyze, and organize multi-omics data into structured knowledge graphs, with the ability to handle small projects to repository-scale analyses. Originally developed to enhance genome mining for natural product drug discovery, SocialGene has been effective across various applications, including functional genomics, evolutionary studies, and systems biology. SocialGene's concerted Python and Nextflow libraries streamline data ingestion, manipulation, aggregation, and analysis, culminating in a custom Neo4j database. The software not only facilitates the exploration of genomic synteny but also provides a foundational knowledge graph supporting the integration of additional diverse datasets and the development of advanced search engines and analyses. This manuscript introduces some of SocialGene's capabilities through brief case studies including targeted genome mining for drug discovery, accelerated searches for similar and distantly related biosynthetic gene clusters in biobank-available organisms, integration of chemical and analytical data, and more. SocialGene is free, open-source, MIT-licensed, designed for adaptability and extension, and available from github.com/socialgene.

Search Engine for Open Geospatial Consortium Web Services Improving Discoverability through Natural Language Processing-Based Processing and Ranking

The improvement of search engines for geospatial data on the World Wide Web has been a subject of research, particularly concerning the challenges in discovering and utilizing geospatial web services. Despite the establishment of standards by the Open Geospatial Consortium (OGC), the implementation of these services varies significantly among providers, leading to issues in dataset discoverability and usability. This paper presents a proof of concept for a search engine tailored to geospatial services in Switzerland. It addresses challenges such as scraping data from various OGC web service providers, enhancing metadata quality through Natural Language Processing, and optimizing search functionality and ranking methods. Semantic augmentation techniques are applied to enhance metadata completeness and quality, which are stored in a high-performance NoSQL database for efficient data retrieval. The results show improvements in dataset discoverability and search relevance, with NLP-extracted information contributing significantly to ranking accuracy. Overall, the GeoHarvester proof of concept demonstrates the feasibility of improving the discoverability and usability of geospatial web services through advanced search engine techniques.

Operational tolerance research in liver transplantation: a bibliometric analysis using a new web resource.

Operational tolerance in liver transplantation (OT-LT), defined as the graft survival with normal function in absence of immunosuppression, has been a field of intense research since the 1980s. Thereafter, tens of clinical trials and hundreds of articles have been published, making it challenging for researchers to assimilate all the information, more so outside of their disciplines. The aim of the present study was to analyze the research in OT-LT through a new web tool (https://tolerance.imib.es). We have developed a web resource that allowed the identification of the present trends and potential research avenues in OL-LT, an overview biomedical terms that were most often cited, including which journals published the most articles, and an advanced search engine that exploited all the information in these publications. A total of 734 studies were analyzed until November 2023, with a mean of 15 articles published per year, a total sum of 3,751 impact factor points and a total of 26,542 citations. The analysis of citations allowed us to establish a ranking of the most prolific countries, authors, journals and institutions, in addition to the most influential publications in OT-LT. Likewise, keyword and co-occurrence analyses answered which themes involving OT-LT are the most popular, whereas cooperation analysis showed that principal authors in OT-LT form a network, although the lack of international cooperation, especially with regard to clinical trials, appears to be one of the main challenges. Despite its limitations, our web tool will allow both OT-LT expert and novel researchers to be able to draw a comprehensive picture of the past, present and future of OT-LT research.

Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

Thanks to the rapid expansion of the Internet, anyone can now access a vast array of information online. However, as the volume of web content continues to grow exponentially, search engines face challenges in delivering relevant results. Early search engines primarily relied on the words or phrases found within web pages to index and rank them. While this approach had its merits, it often resulted in irrelevant or inaccurate results. To address this issue, more advanced search engines began incorporating the hyperlink structures of web pages to help determine their relevance. While this method improved retrieval accuracy to some extent, it still had limitations, as it did not consider the actual content of web pages. The objective of the work is to enhance Web Information Retrieval methods by leveraging three key components: text content analysis, link analysis, and log file analysis. By integrating insights from these multiple data sources, the goal is to achieve a more accurate and effective ranking of relevant web pages in the retrieved document set, ultimately enhancing the user experience and delivering more precise search results the proposed system was tested with both multi-word and single-word queries, and the results were evaluated using metrics such as relative recall, precision, and F-measure. When compared to Google’s PageRank algorithm, the proposed system demonstrated superior performance, achieving an 81% mean average precision, 56% average relative recall, and a 66% F-measure.

Open scientific content search tools for research and education

Introduction. The concept of open science, actively promoted in recent decades, as well as technological innovations, make the culture of information retrieval a significant element in the development of the information society, which has a significant impact on scientific activity, education, management, social processes, etc. Indicators of the level of culture of information retrieval are knowledge of basic methods and means of obtaining information, including skills and abilities to work with information resources and search engines. The culture of information retrieval helps improve the quality of information extraction from increasingly large open information arrays. Open tools for searching scientific content are the most important, but require training during operation, they are components of the global market of information resources and services, allowing the selection of relevant information from large data sets in accordance with user requests.Purpose setting. The study sets the task of studying the applicability of individual scientific search systems (Google Scholar, Semantic Scholar, Internet Archive Scholar and BASE) for information searching when conducting research and in educational processes, developing competencies to improve the level of information culture of specialists in the field of library and information sciences.Methodology and methods of the study. The research was carried out using comparative and system analysis methods, mathematical methods for processing statistical data, and content analysis of documentary sources of information. The methodological basis was practice-oriented and competency-based approaches aimed at developing the professional skills of librarians and library scientists in searching for digital content and using open access resources.Results. The analysis made it possible to draw conclusions about the capabilities of search systems, methods for retrieving information and the specifics of the reflection of publications in them, as well as the most acceptable conditions for information retrieval in the field of «library and information sciences», which makes it possible to more rationally use the potential of systems and quickly obtain complete and relevant scientific information on the topic.Conclusions. The results of the study add a new dimension to our knowledge of scientific search engines. The study presents evidence that Google Scholar is a powerful tool for searching Russian literature in the field of library science in terms of articles from scientific journals, as well as detecting a limited volume of some other types of publications with the ability to evaluate with Google Scholar Metrics. It is concluded that Google Scholar, Semantic Scholar, Internet Archive Scholar and BASE, despite being positioned as effective tools for searching scientific information in various disciplines, require caution in use, because these systems cannot guarantee comprehensive results and are not complete sources of bibliographic data, but can be considered in conjunction with other resources, taking into account the availability of advanced search engines and additional services. Knowledge of scientific search engines contributes to improving the culture of information retrieval, the culture of users, their qualifications and professionalism.

GPS-navigator: an advanced search engine to gather information and navigate through standards in the field of geometrical product specification

GPS-navigator: an advanced search engine to gather information and navigate through standards in the field of geometrical product specification

Self-Care Management Interventions for Type 2 Diabetes Mellitus in Saudi Arabia: A Systematic Review

Aim of the study: To assess the self-care management interventions for type 2 diabetes mellitus in Saudi Arabia through a systematic review. Methods: A systematic review was conducted by searching for articles from three online journal collection sites – PubMed Central (PMC), CINAHL Open Access and Directory of Open Access Journals (DOAJ). Other articles were obtained from the Google scholar and the Google advanced search engine. The resultant articles were subjected to a thorough scrutiny within the inclusion criteria and quality assessment. An abstraction table was then used to summarize the outcomes. Results: Initial search gave a yield of 2410 articles, which were finally reduced to nine articles. One type of intervention program was identified across the articles – the educational intervention. Across the studies, education program had a significant positive impact on patients’ self-management of type 2 diabetes mellitus and patients’ clinical outcomes, with notable impacts on self-care knowledge, behaviors and attitude towards desired practices. There was also a significant impact of the intervention programs on glycemic level and risks of cardiovascular diseases, such as lipid profile. However, the impact of the educational programs depended on smoking and marital status. Conclusion and Recommendations: educational programs are effective in improving the self-management of type 2 diabetes mellitus in Saudi Arabia. However, there is a need to focus on the large-scale application of the education, especially in the clinical setup to come up a sustainable culture of patients’ education.

Bridging bytes and biopsies: A comparative analysis of ChatGPT and histopathologists in pathology diagnosis and collaborative potential.

ChatGPT is a powerful artificial intelligence (AI) chatbot developed by the OpenAI research laboratory which is capable of analysing human input and generating human-like responses. Early research into the potential application of ChatGPT in healthcare has focused mainly on clinical and administrative functions. The diagnostic ability and utility of ChatGPT in histopathology is not well defined. We benchmarked the performance of ChatGPT against pathologists in diagnostic histopathology, and evaluated the collaborative potential between pathologists and ChatGPT to deliver more accurate diagnoses. In Part 1 of the study, pathologists and ChatGPT were subjected to a series of questions encompassing common diagnostic conundrums in histopathology. For Part 2, pathologists reviewed a series of challenging virtual slides and provided their diagnoses before and after consultation with ChatGPT. We found that ChatGPT performed worse than pathologists in reaching the correct diagnosis. Consultation with ChatGPT provided limited help and information generated from ChatGPT is dependent on the prompts provided by the pathologists and is not always correct. Finally, we surveyed pathologists who rated the diagnostic accuracy of ChatGPT poorly, but found it useful as an advanced search engine. The use of ChatGPT4 as a diagnostic tool in histopathology is limited by its inherent shortcomings. Judicious evaluation of the information and histopathology diagnosis generated from ChatGPT4 is essential and cannot replace the acuity and judgement of a pathologist. However, future advances in generative AI may expand its role in the field of histopathology.

A bibliometric analysis study on coccydynia treatment

AimThe objective of this study was to shed light on the topic of coccidynia, a condition of significant importance within the field of neurosurgery, by examining the scientific publications dedicated to its understanding and treatment. By conducting a comprehensive bibliometric analysis, we aimed to explore the extent of research conducted on coccidynia, identify key contributing countries, prolific authors, and prevalent research themes. Our study sought to provide an in-depth understanding of the temporal evolution of coccidynia literature and contribute to the accumulation of knowledge in this specialized area. Material and methodTo achieve our objective, we conducted an extensive literature search utilizing the esteemed Web of Science database. Through the advanced search engine within the WOS system, we meticulously curated a comprehensive dataset by focusing on the keyword “coccydynia treatment.” This specific keyword allowed us to identify relevant scientific articles and publications related to the treatment of coccidynia. The dataset was then analyzed to extract crucial information, including the number of articles published over time, the geographic distribution of research, the co-authorship patterns among researchers, and the prevalent keywords associated with coccidynia literature. ResultsOur investigation revealed intriguing insights into the landscape of coccidynia research. We discovered that the earliest scientific article on this subject was published in 1991, signifying the relatively recent emergence of scholarly interest in this domain. Notably, the volume of publications experienced a substantial surge after 2010, suggesting a growing recognition of coccidynia's clinical significance. In total, we identified and examined 143 articles published between 1970 and 2023, encompassing several decades of scientific inquiry into the condition. By meticulously analyzing the geographical distribution of research, we found that the United States of America emerged as the leading country in terms of producing publications on “coccydynia treatment.” Within this literature, we also identified key authors who made significant contributions to the field, with notable names including Maigne JY, Finsen V, and Knobloch RG. Moreover, our analysis of citation patterns revealed that articles originating from the United States received a commendable number of citations, with an average of 3.48 citations per article, while publications from Turkey garnered an average of 2.33 citations per article. Furthermore, we identified the most frequently utilized keywords in coccidynia literature, highlighting the emphasis placed on terms such as “idiopathic coccygodynia,” “sitting position,” “coccydynia,” “coccyx,” and “coccygectomy.” By conducting this bibliometric analysis of original scientific studies published since 1970, our study contributes to the existing knowledge base regarding coccidynia and its treatment. ConclusionThrough our meticulous bibliometric analysis, we have contributed to the existing body of knowledge surrounding coccidynia and its treatment. The comprehensive examination of scientific publications since 1970 has provided valuable insights into the temporal evolution of research on this condition. Our findings highlight the growing interest and recognition of coccidynia as a clinically significant neurosurgical topic. The identification of leading countries, prolific authors, and prevalent research themes serves as a foundation for future investigations and allows researchers to better understand the landscape of coccidynia research. We emphasize the importance of periodic updates and revisions to these studies, ensuring that the scientific community has access to the most current and comprehensive information for rational analysis and decision-making in the field of coccidynia research and treatment.

A gender perspective in the design of a video-on-demand search engine

Most interaction designs unknowingly discriminate against certain groups of people, and video-on-demand platforms are often included among such designs. This study presents an introduction to the adoption of a gender perspective in the user experience design of the search engine of a video-on-demand platform. User experience design includes, in essence, user needs in order to eliminate the obstacles users may encounter on their way to having a productive, straightforward and rewarding experience. This project was carried out using established user experience methods and techniques. The final design provides a prototype for an advanced search engine within a video-on-demand platform and includes all the elements in the filtering system of the main catalogue. It eliminates the gender gap and promotes women’s empowerment, thereby providing an experience where users feel comfortable and satisfied.

A bibliometric analysis of 47-years of research on public health in Peru

<b>Objectives</b>: To measure Peruvian scientific production on public health in Scopus database.<br /> <b>Methods</b>: Bibliometric study using advanced Scopus web search engine (https://www.scopus.com/search/<br /> form.uri?display=advanced). The inclusion criteria were the publications of articles related to public health between 1973 and 2020. The equation was used as a strategy: TITLE-ABS-CLAVE (“public health”) AND AFFILCOUNTRY (Peru) AND (EXCLUDE (PUBYEAR, 2021) OR EXCLUDE (PUBYEAR, 2020)). SCImago journal & country rank was used to determine the impact factor (h-index) and the quartile of the journals identified. The analysis included in SPSS v24.0 included years of publication, institutions, h-index, list of authors with the most publications, publication types, and journals.<br /> <b>Results</b>: 903 articles published by 7.5±12.5 authors were included, showing that 74.5% were original articles written mainly in English (77.7%). The publications for the year 1973 and 2019 were 3 (0.3%) and 98 (10.9%), respectively. In addition, it was shown that the most productive institutions were the Universidad Peruana Cayetano Heredia (42.9%) and the Universidad Nacional Mayor de San Marcos (13.1%). The journal with the highest number of Peruvian publications was Revista Peruana de Medicina Experimental y Salud Pública (RPMESP) [Peruvian Journal of Experimental Medicine and Public Health (PJEMPH)] (17.5%) and PLoS ONE (2.88%).<br /> <b>Conclusions</b>: The present study showed in the magazines with the highest number of citations and therefore greater visualization, where Peruvian publications in this area were published, with this the future readers can take these magazines into consideration so that their publications have a greater visualization. In addition to this, the study shows the largest institutions that have a great impact on Peruvian publications in public health in Scopus, this invites researchers to analyze the research methodologies that these institutions follow in order to disclose them for reproduction in new entities interested in research.

Unraveling the Enigma: Navigating Challenges in the Diagnosis and Treatment of Neurocysticercosis – A Thorough Exploration Review

Background: Neurocysticercosis, caused by the larvae of the pork tapeworm Taenia solium, presents a unique challenge to public health, particularly in low- and middle-income endemic countries. This parasitic infection affects the central nervous system and is often associated with epilepsy, contributing significantly to the global burden of neurological disorders. This review delves into recent advances in both the diagnosis and treatment of neurocysticercosis, offering insights into the evolving landscape of strategies to address this complex condition. In neurocysticercosis-endemic regions, the prevalence of epilepsy linked to this parasitic infection is substantial, underscoring the need for improved understanding and management. The symptoms of neurocysticercosis result from the death of the parasite and subsequent inflammatory reactions in the central nervous system, presenting challenges in direct symptom attribution. The lack of awareness about neurocysticercosis epidemiology further exacerbates the burden on affected communities, where NCC accounts for a significant proportion of epilepsy cases. Approach: This systematic review comprehensively synthesized recent neurocysticercosis advancements in diagnosis and treatment over the past two decades. The search strategy included diverse sources such as the World Health Organization reports and utilized advanced search engines and databases like Google Scholar, PubMed, and Elsevier. The selection process considered study design, publication date, language, and relevance. A standardized data extraction process collected information on study characteristics, patient demographics, diagnostic methods, treatment interventions, outcomes, and adverse events. Results: To boost diagnostic precision, this review underscores the global employment frequency of diagnostic techniques. Neuroimaging, notably CT scans (46.6%) and MRI (32.8%), emerges as pivotal, trending toward integrating immunodiagnosis for a holistic approach. In treatment, the multifaceted nature of neurocysticercosis management is apparent. Albendazole, corticosteroids, and Praziquantel are widely used, showcasing a comprehensive approach. The Praziquantel and Albendazole combination exhibits promising efficacy of 40%, underlining the necessity for personalized treatment plans. However, anthelmintic initiation demands recent neuroimaging to exclude contraindications, highlighting the delicate balance between treatment modalities. The management scope extends beyond pharmacology, encompassing larvicidal agents, corticosteroids, antiepileptic drugs, and surgical interventions. Individualized management, prioritizing growing cysticerci and addressing intracranial hypertension, underscores the complexity. Patients with specific conditions, such as cysticercotic encephalitis or isolated granulomas and calcifications, require specialized considerations to avert exacerbating intracranial hypertension or targeting non-viable parasites. Conclusion: In conclusion, this comprehensive review scrutinizes recent advances in neurocysticercosis diagnosis and treatment. Evolving diagnostic techniques, particularly the integration of advanced imaging and immunodiagnosis that are hardly available in low- and middle-income endemic countries, promise accurate assessments. The complex neurocysticercosis nature mandates ongoing research and a personalized approach for effective management, integrating diverse therapeutic interventions to enhance outcomes, especially in regions with substantial burdens.

A BIBLIOMETRIC ANALYSIS OF PNEUMONIA ARTICLES (2016-2020)

Lower respiratory infections are one of the leading factors of death in the world. During the COVID-19 pandemic, pneumonia comes to the fore from respiratory diseases. We aim to close the information gap regarding the characteristics of pneumonia articles published between the years 2016 and 2020 and indexed in the Web of Science (WoS) database by bibliometric analysis. We collected the data for this study from the articles published in the WoS, from 2016 to 2020 by using “pneumonia” as the keyword. Articles were found among the "Science Citation Index Expanded" of the WoS advanced search engine and 24,896 articles that met the criteria were included. MS Excel, Python, MS Power BI, and Flourish website were used for data extraction and visualization.This bibliometric analysis showed that while the number of articles published regarding pneumonia was more stable between 2016 and 2019 it has increased dramatically in 2020. It was seen that the countries that caused this significant increase were the United States of America and China. More than one-fifth of all articles were written in cross-country collaboration. The magnitude of the impact of COVID-19 on pneumonia research has been numerically demonstrated by this bibliometric analysis.

GutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions.

Gut microbiota plays a significant role in maintaining host health, and conversely, disorders potentially lead to dysbiosis, an imbalance in the composition of the gut microbial community. Intervention approaches, such as medications, diets, and several others, also alter the gut microbiota in either a beneficial or harmful direction. In 2020, the gutMDisorder was developed to facilitate researchers in the investigation of dysbiosis of gut microbes as occurs in various disorders as well as with therapeutic interventions. The database has been updated this year, following revision of previous publications and newly published reports to manually integrate confirmed associations under multitudinous conditions. Additionally, the microbial contents of downloaded gut microbial raw sequencing data were annotated, the metadata of the corresponding hosts were manually curated, and the interactive charts were developed to enhance visualization. The improvements have assembled into gutMDisorder v2.0, a more advanced search engine and an upgraded web interface, which can be freely accessed via http://bio-annotation.cn/gutMDisorder/.

Graves Oftalmopatisi ile İlgili Yayınların İşbirliğine Dayalı Ağ Analizi

Introduction: Graves' ophthalmopathy (GO), sometimes known as Graves' orbitopathy, is an eye illness that can lead to vision loss. Despite significant developments in ophthalmology over the previous few decades, there is no comprehensive bibliometric description of the quality and quantity of GO research in the peer-reviewed literature. The purpose of this study was to examine the trends in GO publications. Materials-Methods: The bibliometric search was conducted using the Web of Science (WoS) Core Collection advanced search engine. Keywords related to “Graves” and “ophtalmopathy” or “orbitopathy” were used. The time span was set from 1970 to 2021. The researchers looked at data on publishing growth, the most active countries and institutions, the most cited journals, and publishing and keyword mapping. The articles were investigated thoroughly. The maps were visualized using the VOSviewer technique. Results: The Wos database yielded 958 articles about GO. These 958 articles had an average of 29.59 citations each. These items have a H index of 81. The majority of the papers found were in the fields of endocrinology and metabolism (38.83 percent), followed by ophthalmology (25.99 percent), with the United States as the leading country. The articles garnered a total of 28348 citations, averaging 29.59 per article. Annual citation growth of GO was sluggish until the 1990s, then skyrocketed in the subsequent decade. Conclusion: The USA was the leading country but the rest of the world made a significant contribution. The quantity of citations is great, yet global collaboration is required to address this increasing and worrisome issue.

ProBioQuest: a database and semantic analysis engine for literature, clinical trials and patents related to probiotics.

The use of probiotics to improve health via the modulation of gut microbiota has gained wide attention. The growing volume of investigations of probiotic microorganisms and commercialized probiotic products has created the need for a database to organize the health-promoting functions driven by probiotics reported in academic articles, clinical trials and patents. We constructed ProBioQuest to collect up-to-date literature related to probiotics from PubMed.gov, ClinicalTrials.gov and PatentsView. More than 2.8 million articles have been collected. Automated information technology-assisted procedures enabled us to collect the data continuously, providing the most up-to-date information. Statistical functions and semantic analyses are provided on the website as an advanced search engine, which contributes to the semantic tool of this database for information search and analyses. The semantic analytical output provides categorized search results and functions to enhance further analysis. A keyword bank is included which can display multiple tables of contents. Users can select keywords from different displayed categories to achieve easily filtered searches. Additional information on the searched items can be browsed via the link-out function. ProBioQuest is not only useful to scientists and health professionals but also to dietary supplement manufacturers and the general public. In this paper, the method we used to build this database-web system is described. Applications of ProBioQuest for several literature-based analyses of probiotics are included as examples of the various uses of this search engine. ProBioQuest can be accessed free of charge at http://kwanlab.bio.cuhk.edu.hk/PBQ/.Database URL http://kwanlab.bio.cuhk.edu.hk/PBQ/

Compression following treatment of superficial venous incompetence: systematic review.

International guidelines recommend postprocedural compression when treating symptomatic superficial venous incompetence (SVI). This updated review of RCTs investigated the requirement for postprocedural compression and how it can be applied optimally. The National Institute for Health and Care Excellence's Healthcare Databases Advanced Search engine was used to identify all English-language RCTs of compression following treatment for SVI. Outcomes of interest included postprocedural pain, venous thromboembolism, health-related quality of life (HRQoL), and anatomical occlusion. A total of 18 studies were included comprising some 2584 treated limbs. Compression was compared with no compression in four studies, nine studies compared different durations of compression, and a further five compared different types of compression. A 1-2-week period of compression was associated with a mean reduction of 11 (95 per cent c.i. 8 to 13) points in pain score on a 100-mm visual analogue scale compared with a shorter duration (P < 0.001). This was associated with improved HRQoL and patient satisfaction. Longer durations of compression did not add further benefit. There was low-quality evidence suggesting that 35-mmHg compression with eccentric thigh compression achieved lower pain scores than lower interface pressures. There were no significant differences in venous thromboembolism rates or technical success in any group, including no compression. Postprocedural compression of 1-2 weeks after SVI treatment is associated with reduced pain compared with a shorter duration. The optimal interface pressure and type of compression, and the impact on venous thromboembolism risk, remain to be determined.

Types of Racism and Twitter Users' Responses Amid the COVID-19 Outbreak: Content Analysis.

BackgroundWhen the first COVID-19 cases were noticed in China, many racist comments against Chinese individuals spread. As there is a huge need to better comprehend why all of these targeted comments and opinions developed specifically at the start of the outbreak, we sought to carefully examine racism and advocacy efforts on Twitter in the first quarter of 2020 (January 15 to March 3, 2020).ObjectiveThe first research question aimed to understand the main type of racism displayed on Twitter during the first quarter of 2020. The second research question focused on evaluating Twitter users’ positive and negative responses regarding racism toward Chinese individuals.MethodsContent analysis of tweets was utilized to address the two research questions. Using the NCapture browser link and NVivo software, tweets in English and Spanish were pulled from the Twitter data stream from January 15 to March 3, 2020. A total of 19,150 tweets were captured using the advanced Twitter search engine with the keywords and hashtags #nosoyunvirus, #imNotAVirus, #ChineseDon’tComeToJapan, #racism, “No soy un virus,” and “Racismo Coronavirus.” After cleaning the data, a total of 402 tweets were codified and analyzed.ResultsThe data confirmed clear sentiments of racism against Chinese individuals during the first quarter of 2020. The tweets displayed individual, cultural, and institutional racism. Individual racism was the most commonly reported form of racism, specifically displaying physical and verbal aggression. As a form of resistance, Twitter users created spaces for advocacy and activism. The hashtag “I am not a virus” helped to break stereotypes, prejudice, and discrimination on Twitter.ConclusionsAdvocacy efforts were enormous both inside and outside the Chinese community; an allyship sentiment was fostered by some white users, and an identification with the oppression experienced by the Chinese population was expressed in the Black and Muslim worldwide communities. Activism through social media manifested through art, food sharing, and community support.

Combination of Music and Guided Imagery on Relaxation Therapy to Relief Pain Scale of Post-Operative Patients

Aim: This literature review aims to explain the effectiveness of combination relaxation therapies with music and imagery technique to reduce the quality and quantity of pain experienced by post-operative patients. Methods: The research data were identified from 5 journal databases including PubMed, JSTOR, Willey Online Library, Sage Journal and Taylor Francis Online by using the PIOS (Participant, Intervention, Outcomes and Study Design) method and MesH term on advanced search engines. Additional records identified through Google Scholar and Research Gate. The articles that become research data are articles published in 1998–2018 in English version, open access and full-text in the form of original research articles. Results: Eight articles that were screened using PRISMA reviewed without meta-analysis consisted of four articles intervening in a combination of relaxation with music and four articles combining with imagery. Conclusion: The combination of relaxation techniques with music, as well as a combination of relaxation techniques with effective imagery are used to reduce pain. Based on the analysis of the results in several studies, it can be found that patient education about relaxation therapy should be given to all surgical patients to help improve patient’s comfort and enhance tissue healing.