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  • 1
    In: Indian Journal of Medical Sciences, Scientific Scholar, Vol. 74 ( 2022-05-11), p. 10-14
    Abstract: Although commonly practiced, the accuracy, effectiveness, and safety of screening patients for COVID-19 at hospital entrances is not well documented. Material and Methods: We performed a retrospective analysis of single institution data involving screening patients for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection at hospital entrances by trained health personnel, with thermal scanning and administration of a standard questionnaire eliciting risk factors and symptoms of COVID-19. SARS-CoV-2 positivity among patients screened positive and negative and among personnel involved in screening were estimated. Results: Between May 22, 2020, and July 4, 2020, a total of 20152 patients involving 54955 hospital visits were screened at hospital entrances of whom 668 (3.31%, 95% CI 3.07–3.57) were screened positive for suspected COVID-19 and 19484 (96.69%, 95% CI 96.44–96.93) were screened negative. Among patients screened positive, of the 638 patients with available records, 109 (17.08%, 95% CI 14.24–20.23) were confirmed to be SARS-CoV-2 positive by polymerase chain reaction test, 288 (45.14%, 95% CI 41.23–49.10) were negative, 71 (11.13%, 95% CI 8.79–13.83) were not tested after secondary assessment, and 170 (26.65%, 95% CI 23.25–30.26) patients declined the test. Among screen negative patients, 162 (0.83%, 95% CI 0.71–0.97) were SARS-CoV-2 positive. Of the 104 personnel involved in screening, 03 (2.88%, 95% CI 0.60–8.20) were confirmed to be SARS-CoV-2 positive during study period. Conclusion: Screening patients with a combination of thermal scanning and a standard questionnaire for COVID-19 has a high positive predictive value for detecting this infection with low risk of SARS-COV-2 transmission to the involved health personnel.
    Type of Medium: Online Resource
    ISSN: 1998-3654 , 0019-5359
    Language: English
    Publisher: Scientific Scholar
    Publication Date: 2022
    detail.hit.zdb_id: 2127052-1
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  • 2
    Online Resource
    Online Resource
    Technoscience Academy ; 2021
    In:  International Journal of Scientific Research in Science and Technology
    In: International Journal of Scientific Research in Science and Technology, Technoscience Academy
    Abstract: There are numerous web security dangers yet one of the significant web security issues is Phishing sites that focus on the human weaknesses instead of programming weaknesses. It tends to be depicted as the way toward acquiring the online clients to get their touchy data, for example, usernames and passwords. These days, phishing is one of the greatest regular web dangers as for the critical increase of the World Wide Web in volume over the long run. Phishing aggressors consistently utilize new (multi day) and complex procedures to beguile online clients. Thus, it is important that the counter phishing framework is ongoing and quick and furthermore influences from a shrewd phishing recognition arrangement. Here, we build up a very much established location framework which can adaptively coordinate with the changing climate and phishing sites. Our strategy is an on the web and highlight rich AI procedure to separate the phishing and real sites. Since the proposed approach removes various sorts of various highlights from URLs and pages source code, it is a totally customer side arrangement and doesn't need any assistance from the outsider. In this task, we offer a clever framework for finding phishing sites. The framework depends on an AI technique, explicitly managed learning. We have chosen the Logistic Regression strategy because of its great presentation in grouping. Our point is to acquire a better classifier by considering the attributes of phishing site and pick the better mix of them to prepare the grouped.
    Type of Medium: Online Resource
    ISSN: 2395-602X , 2395-6011
    Language: English
    Publisher: Technoscience Academy
    Publication Date: 2021
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  • 3
    In: American Journal of Clinical Pathology, Oxford University Press (OUP), Vol. 158, No. 6 ( 2022-12-01), p. 739-749
    Abstract: Good-quality nucleic acid extraction from formalin-fixed, paraffin-embedded (FFPE) specimens remains a challenge in molecular-oncopathology practice. This study evaluates the efficacy of an in-house developed FFPE extraction buffer compared with other commercially available kits. Methods Eighty FFPE specimens processed in different surgical pathology laboratories formed the study sample. DNA extraction was performed using three commercial kits and the in-house developed FFPE extraction buffer. DNA yield was quantified by a NanoDrop spectrophotometer and Qubit Fluorometer, and its purity was measured by the 260/280-nm ratio. A fragment analyzer system was used for accurate sizing of DNA fragments of FFPE DNA. The downstream effects of all extraction methods were evaluated by polymerase chain reaction (PCR) and Sanger sequencing. Results In comparison with the commercial kits, the in-house buffer yielded higher DNA quantity and quality number (P & lt; .0001). In addition, DNA integrity and fragment size were preserved in a significantly greater number of samples isolated with the in-house buffer (P & lt; .05). The target PCR amplification rate with the in-house buffer extracted samples was also significantly higher, with 98% of the samples showing interpretable sequencing results. Conclusions The in-house developed FFPE extraction buffer performed superior to other methods in terms of suitability for downstream applications, time, cost-efficiency, and ease of performance.
    Type of Medium: Online Resource
    ISSN: 0002-9173 , 1943-7722
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2039921-2
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