Text Search Queries Research Articles

Radiogenomics in breast cancer: a review

INTRODUCTION: Early detection of breast cancer is essential in the diagnosis and treatment of this disease. The results of core biopsy, immunohistochemical methods or removed surgical specimens contributed to the identification of molecular markers. Currently, the attention of researchers is attracted by the anatomical and functional features of tumor tissue obtained using imaging methods. The correlation of specific phenotypes based on images (radiomics) with large-scale genomic analysis (genomics) is a new field of research called “radiogenomics” or, more precisely, “image genomics”. This new field examines the relationship between diagnostic methods and gene data, as well as with other clinically relevant information.OBJECTIVE: To analyze current trends in the development of radiogenomics in the study of breast cancer based on the literature data.MATERIALS AND METHODS: The medical literature was searched using information and analytical databases Cochrane, Medline, and Elibrary using the text search queries “radiogenomics of breast cancer”, “mammography and radiogenomics”, “magnetic resonance imaging and radiogenomics”, “ultrasonic radiogenomics”.RESULTS: We found strong evidence that there is a moderate relationship between imaging characteristics and genomic characteristics of breast cancer. However, the results obtained have a number of limiting factors that distort the overall picture.CONCLUSION: Precision medicine can be optimized based on the genotypic and phenotypic characteristics of the tumor. However, the development of this direction requires new research and the development of databases using a multicenter approach.

Implications of AI innovation on economic growth: a panel data study

The application of artificial intelligence (AI) across firms and industries warrants a line of research focused on determining its overall effect on economic variables. As a general-purpose technology (GPT), for example, AI helps in the production, marketing, and customer acquisition of firms, increasing their productivity and consumer reach. Aside from these, other effects of AI include enhanced quality of services, improved work accuracy and efficiency, and increased customer satisfaction. Hence, this study aims to gauge the impact of AI on the economy, specifically on long-run economic growth. This study conjectures a positive relationship between AI and economic growth. To test this hypothesis, this study makes use of a panel dataset of countries from 1970 to 2019, and the number of AI patents as a measure of AI. A text search query is performed to distinguish AI patents from other types of innovations in a public database. Employing fixed effects and generalized method of moments (GMM) estimation, this paper finds a positive relationship between AI and economic growth, which is higher than the effect of the total population of patents on growth. Furthermore, other results indicate that AI’s influence on growth is more robust among advanced economies, and more evident towards the latter periods of the dataset.

Public Response on Twitter: The Urgency of Government Policy on Electric Vehicles

Recent policies have encouraged the adoption of electric vehicles in Indonesia. The purpose of this study is to determine the urgency of the policy and how the public responds on Twitter about electric vehicle policies. This study used a quantitative approach with descriptive content analysis. The object of research is seen from the involvement of Twitter social media users in issues of electric vehicle policy. The subject of this research is Twitter social media users. Data capture focuses on keyword searches (electric vehicles) based on Tweets. The number of keywords obtained is 5789 Tweets. Data is analyzed relying on units of analysis such as sentiment analysis and text search queries. The findings from this study indicate that the urgency of electric vehicle policy is to address environmental problems such as air pollution, dependence on imported fuels, potential cost savings, energy efficiency, reducing greenhouse gas emissions, and climate change. This study also found that adopting electric vehicle policies in Indonesia could be hampered by several factors, namely limited vehicle mileage, high cost of electric vehicles, and limited charging infrastructure. This negative sentiment has hindered public acceptance to use electric vehicles in the future.

Pain Management During West Virginia's Opioid Crisis.

Opioid use disorder has caused significant morbidity and mortality resulting in opioid prescribing limiting laws, such as State Bill 273 in West Virginia. The purpose of this study is to explore the impacts of a restrictive opioid prescription law on physicians in medical practice in West Virginia. A qualitative study with open-ended semistructured interviews with a purposive sample of physicians in West Virginia. Interviews were recorded and transcribed verbatim. A preliminary code book was developed by 3 coinvestigators. Interview transcriptions were analyzed with a code-based text search query. Content analysis was utilized as the methodological orientation underpinning for the current work. Interviews were conducted with 20 physicians (10 primary care physicians and 10 specialty physicians) in practice in West Virginia. Physicians identified 5 theoretical domains related to SB273: changing opioid prescribing and documentation requirements; rural socioeconomic disparities; a continuum between chronic pain and substance use disorder; difficulty in balancing patient needs and the concern for diversion; lack of available alternatives to opioids for chronic. Prescribing opioids in rural West Virginia is complex due to identified challenges. Recommendations for opioids prescribing legislation include clear messaging of guidelines and recommendations, efforts to address socioeconomic disparities of health and pain, and improved accessibility for treatment of both pain and dependence in rural communities are important areas of growth in the rural health care environment.

Living in the Era of an Ideological Climate of Globalisation: A Study of Psychological Sense of Community Among Young and Older Adults in Two Cultures (India and Norway). Challenges for Community Psychology and the Applied Social Sciences.

How do people describe the psychological sense of community (PSOC) in the present day ideological climate of globalising neo-liberalism, assuming that people are essentially individualistic, that solidarity, social commitment, and citizenship are not natural dispositions, as we all are the lonely citizen? This issue is addressed by a mixed-methods study using semi-structured interviews with two age groups—young and older people—from two different cultures—India (Mumbai) and Norway (Oslo). This two by two design gives the opportunity to analyse people’s meaning systems of PSOC, asking; is there a core meaning system of PSOC shared by people within as well as across cultures? Belongingness and citizenship are continuously formed and negotiated, just at the intersection of two dimensions: culture and historical time. The young and older adult informants often live in different “historical times.” The meaning systems of PSOC were explored and compared by language analyses of words used by the informants. Text search queries were made for 69 words. “Help,”, “care,” “different,” “problem,” and “family” were identified as central for further in-depth qualitative analyses. The word, “family” demonstrated high frequencies of use across sub-samples. There was nothing more relevant for the groups than the family when thinking of PSOC, revealing almost a “prior to society perspective.” PSOC is about being part of families. Simultaneously, we are members of other communities: schools, workplaces, neighborhoods, cities and nations. The informants mentioned such communities, but not often. Feeling part of the family, helping and caring not only the family but also your neighbourhood, local community, or national and global communities are particularly necessary today, as we live in a time where communities, societies, and nations across the world are heavily impacted by the COVID-19 pandemic. In this crisis, it is vital that nobody forgets that we are national and transnational citizens and part of many interrelated social systems. This study points out how community psychology and the applied social sciences can work to strengthen the feelings of connections to other communities, societies, and nations outlining and co-creating transformative multi-level interventions of public policy programmes of inclusion and “we-ness.”

Micro-Takaful by Takaful Operators in Pakistan: Problems and their Solutions from the Practitioners' Perspective

This study investigates the underlying reasons behind the limited offering of micro-takaful(insurance) products by takaful operators in Pakistan and suggests solutions to enhance thegrowth of micro-takaful products in the country. The study is qualitative in nature. The researchers conducted atotal of twenty (20) semi-structured interviews of relevant Islamic finance practitioners (5 sales heads, 5 businessheads, 5 product development heads, and 5 sales agents) working at all five takaful operators (Dawood FamilyTakaful Ltd., Pak-Qatar General Takaful, Pak-Qatar Family Takaful, Pak Kuwait Takaful, Takaful Pakistan Limited)operating in Pakistan. NVIVO 12 software was used for generating items, codes, word clouds and text searchqueries. According to the findings of this study, the issues faced by practitioners include the poor financialcondition of the public, lack of sufficient funds with takaful operators, lack of cooperation among takaful operators,lack of customer awareness and interest, lack of takaful experts and diversified takaful products, absence of aculture of takaful practices, and lack of research and product development in the field of micro-takaful.Academicians should develop suitable micro-takaful products according to the needs of the public, and theregulator can require takaful operators to offer micro-takaful products.

Data Mining Model for the Data Retrieval from Central Server Configuration

A server, which is to keep track of heavy document traffic, is unable to filter the documents that are most relevant and updated for continuous text search queries. This paper focuses on handling continuous text extraction sustaining high document traffic. The main objective is to retrieve recent updated documents that are most relevant to the query by applying sliding window technique. Our solution indexes the streamed documents in the main memory with structure based on the principles of inverted file, and processes document arrival and expiration events with incremental threshold-based method. It also ensures elimination of duplicate document retrieval using unsupervised duplicate detection. The documents are ranked based on user feedback and given higher priority for retrieval.

Query Answer Authentication

In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the servers of the publisher may be untrusted or susceptible to attacks, we cannot assume that they would always process queries correctly, hence there is a need for users to authenticate their query answers. This book introduces various notions that the research community has studied for defining the correctness of a query answer. In particular, it is important to guarantee the completeness, authenticity and minimality of the answer, as well as its freshness. We present authentication mechanisms for a wide variety of queries in the context of relational and spatial databases, text retrieval, and data streams. We also explain the cryptographic protocols from which the authentication mechanisms derive their security properties. Table of Contents: Introduction / Cryptography Foundation / Relational Queries / Spatial Queries / Text Search Queries / Data Streams / Conclusion

Efficient Evaluation of Continuous Text Search Queries

Consider a text filtering server that monitors a stream of incoming documents for a set of users, who register their interests in the form of continuous text search queries. The task of the server is to constantly maintain for each query a ranked result list, comprising the recent documents (drawn from a sliding window) with the highest similarity to the query. Such a system underlies many text monitoring applications that need to cope with heavy document traffic, such as news and email monitoring. In this paper, we propose the first solution for processing continuous text queries efficiently. Our objective is to support a large number of user queries while sustaining high document arrival rates. Our solution indexes the streamed documents in main memory with a structure based on the principles of the inverted file, and processes document arrival and expiration events with an incremental threshold-based method. We distinguish between two versions of the monitoring algorithm, an eager and a lazy one, which differ in how aggressively they manage the thresholds on the inverted index. Using benchmark queries over a stream of real documents, we experimentally verify the efficiency of our methodology; both its versions are at least an order of magnitude faster than a competitor constructed from existing techniques, with lazy being the best approach overall.

Embellishing text search queries to protect user privacy

Users of text search engines are increasingly wary that their activities may disclose confidential information about their business or personal profiles. It would be desirable for a search engine to perform document retrieval for users while protecting their intent. In this paper, we identify the privacy risks arising from semantically related search terms within a query, and from recurring high-specificity query terms in a search session. To counter the risks, we propose a solution for a similarity text retrieval system to offer anonymity and plausible deniability for the query terms, and hence the user intent, without degrading the system's precision-recall performance. The solution comprises a mechanism that embellishes each user query with decoy terms that exhibit similar specificity spread as the genuine terms, but point to plausible alternative topics. We also provide an accompanying retrieval scheme that enables the search engine to compute the encrypted document relevance scores from only the genuine search terms, yet remain oblivious to their distinction from the decoys. Empirical evaluation results are presented to substantiate the effectiveness of our solution.

Authenticating the query results of text search engines

The number of successful attacks on the Internet shows that it is very difficult to guarantee the security of online search engines. A breached server that is not detected in time may return incorrect results to the users. To prevent that, we introduce a methodology for generating an integrity proof for each search result. Our solution is targeted at search engines that perform similarity-based document retrieval, and utilize an inverted list implementation (as most search engines do). We formulate the properties that define a correct result, map the task of processing a text search query to adaptations of existing threshold-based algorithms, and devise an authentication scheme for checking the validity of a result. Finally, we confirm the efficiency and practicality of our solution through an empirical evaluation with real documents and benchmark queries.

Lessons learned from evaluation of the use of the National electronic Library of Infection

The National electronic Library of Infection (NeLI: http://www.neli.org.uk) in the UK is a freely available portal to key evidence and guidelines in the infectious disease field. This paper discusses 5 years of evaluation of the pilot library and how this evaluation informed design of the new library website. The importance of combining qualitative and quantitative evaluation is highlighted and the results of web access logs analysis, free text search query analysis and an online user survey are compared. The paper concludes with a discussion of lessons learned for future development and evaluation of this Internet digital library.