Verifiable database supporting keyword searches with forward security

2020 ◽  
pp. 103491
Author(s):  
Meixia Miao ◽  
Yunling Wang ◽  
Jianfeng Wang ◽  
Xinyi Huang
1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.


2021 ◽  
Vol 11 (4) ◽  
pp. 300
Author(s):  
Avishek Chatterjee ◽  
Cosimo Nardi ◽  
Cary Oberije ◽  
Philippe Lambin

Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was “covid-19 knowledge graph”. In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.


2021 ◽  
pp. 105984052110263
Author(s):  
Ashley A. Lowe ◽  
Joe K. Gerald ◽  
Conrad Clemens ◽  
Cherie Gaither ◽  
Lynn B. Gerald

Schools often provide medication management to children at school, yet, most U.S. schools lack a full-time, licensed nurse. Schools rely heavily on unlicensed assistive personnel (UAP) to perform such tasks. This systematic review examined medication management among K-12 school nurses. Keyword searches in three databases were performed. We included studies that examined: (a) K-12 charter, private/parochial, or public schools, (b) UAPs and licensed nurses, (c) policies and practices for medication management, or (d) nurse delegation laws. Three concepts were synthesized: (a) level of training, (b) nurse delegation, and (c) emergency medications. One-hundred twelve articles were screened. Of these, 37.5% (42/112) were comprehensively reviewed. Eighty-one percent discussed level of training, 69% nurse delegation, and 57% emergency medications. Succinct and consistent policies within and across the United States aimed at increasing access to emergency medications in schools remain necessary.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lorelei Ortiz

PurposeThis study examines comprehensiveness and responsiveness of mission statements for the top 100 retailers on the 2020 National Retailers Federation list in order to (1) evaluate how effectively they communicate organizational identity, values and purpose, (2) underscore a distinctive commitment to stakeholders and (3) what extent these efforts are reflected in revised mission statements or addenda to meet global pandemic challenges.Design/methodology/approachThe study employs a 4-question metric to measure comprehensiveness and a two-pronged qualitative method of analysis consisting of keyword searches followed by content analysis.FindingsRetailer statements are considerably comprehensive in describing purpose and audience yet very few articulate stakeholder value, differentiate themselves as distinctive or substantively reaffirm their core mission and values. Retailers seem more invested in strategic communication around diversity, equity and inclusion, based on web content in their consumer, job seeker and investor touchpoints.Research limitations/implicationsCoding and interpreting language through content analysis methods may introduce some level of subjectivity, particularly when dealing with unstructured data. Implications for how organizations acclimated in order to survive and thrive, while maintaining focus on stakeholders and strategy. Examining organizational mission statements and their contexts yields perspective into how organizations define themselves and what they do during times of crisis.Originality/valueThis study provides insights into the content, structure and functions of the statements against a specific comprehensiveness metric and reveals patterns about the texts and their contexts during a pandemic and strong cultural and societal movements.


2018 ◽  
Vol 7 (1) ◽  
pp. 32
Author(s):  
Ghasem Nikjou ◽  
Hamed Najafi ◽  
Kamran Salmani

Nowadays energy has an important role as a driving sector of economy. Forecasting 150 billion dollars investment in energy sector during the fifth development program in Iran, the banking and financial system require a dynamic and modern economy and financial instruments. Obviously, this approach needs to remove legal barriers and modification of contracts. Financing in the oil industry has faced with serious challenges in recent years. In addition, investing in common offshore oil and gas resources is indispensable. Accordingly we are going to design a new contract which is called Oil SPFO (Standard Parallel Forward security with two Options under betting condition), in order to raise funds needed. In this article we would investigate the SPFO for Iran Ministry of Petroleum (MOP)’s finance and present a model for pricing the oil SPFO based on Black and Scholes option pricing model. Finally, we have some recommendations to develop the oil SPFO and suggest that other researchers work on pricing the oil parallel forward securities according to this model.


2021 ◽  
Vol 6 (2) ◽  
pp. 85-92
Author(s):  
Nik Him Nik Ahmad Shaiffudin ◽  
Nik Arif Nik Mohamad ◽  
Azizul Fadzli Jusoh ◽  
Radhir Sham Mohamad ◽  
Aminudin Abu

Abstract T The use of a disinfection tunnel has become increasingly popular to eliminate the Covid-19 on the body particularly during the pandemic, however insufficient attention paid to its effectiveness and safety. We undertake a narrative review on the disinfection tunnel and evaluate their effectiveness and safety. The keyword searches of Medline, EMBASE, PubMed, EBM reviews database and manual searches of Google Scholar and US Food and Drug Administration (USFDA) was used. An analysis of the papers reviewed were categorized into three main themes: technical design of disinfection tunnel; effectiveness of disinfectant used; and safety or harmful effect. To date, no relevant specific scientific studies or evidence retrieved about disinfection tunnel for public usage including effectiveness and safety. We found a various designs of disinfection in the market today. It mainly originated from an innovative idea to assist in limiting the spread of Covid-19. However, current available evidence does not support its effectiveness and safety. Although it may lead to a false sense of security, this potential approach appears attractive thus creates an opportunity for further research.


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