Calibration and Asset Management Software

In an industry, to ensure smooth and reliable working of machines, calibration is an important phase to rectify the changes of devices. This solution is a new milestone in calibration and asset management industry. A web-based application provides portability to the application hence; share-holders/proprietors/industrialist can manage their assets any time, anywhere. To make any application reliable and Secure, testing is an important phase. The intent of a security testing is to identify the vulnerabilities, so that the developers can pull out these vulnerabilities from the application and make the web application and data safe from any unauthorized action. Tools such as Zenmap, OWSAP, and OpenSSL used to ensure unbreakable working of application. Keywords: Calibration, Asset Management, Security Testing, HTTP’s Conversion

Teleneuropsychological Assessment During the COVID-19 Pandemic

Objective: With the rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19), and the subsequent alterations to the delivery of health care, telehealth has become an essential service worldwide. Neuropsychology is similarly attempting to adopt telecommunication to deliver neuropsychological services to clients. The purpose this article is to review the utility and value of teleneuropsychological assessment, discuss practical issues and possible barriers related to its implementation and use, and propose considerations and achievable goals to increase the use, acceptance, and clinical utility of teleneuropsychological evaluations. Method: We reviewed the published literature to extract information about the efficacy and limitations of the methods that are currently used to deliver teleneuropsychological services, as well as current guidelines and ethical principles most salient to teleneuropsychological practice. Conclusions: Current literature suggests that teleneuropsychological assessment is feasible and acceptable in many patient populations. Practitioners wishing to implement teleneuropsychological assessment should consider using secure testing platforms, participate in continuing education on the topic of remote/online evaluation, and become familiar with alternative technologies. We implore clinicians, researchers, and trainees who have successfully integrated teleneuropsychology into their current practice to keep detailed records of their methods and results in hopes of adding this data to a larger data repository or to publish these results to add to the small, but growing, teleneuropsychology literature. Future research should focus on generating new normative datasets for tests administered remotely, which will involve the pooling of data from multiple sources using teleneuropsychological assessment.

Reliable and accurate diagnostics from highly multiplexed sequencing assays

Scalable, inexpensive, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays (HMSAs) that rely on high-throughput sequencing can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, reliable analysis, interpretation, and clinical use of HMSAs requires overcoming several computational, statistical and engineering challenges. Using recently acquired experimental data, we present and validate a computational workflow based on kallisto and bustools, that utilizes robust statistical methods and fast, memory efficient algorithms, to quickly, accurately and reliably process high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSA.

Fast and accurate diagnostics from highly multiplexed sequencing assays

Scalable, inexpensive, accurate, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays that rely on high-throughput sequencing (HMSAs) can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, the analysis and interpretation of HMSAs requires overcoming several computational and statistical challenges. Using recently acquired experimental data, we present and validate an accurate and fast computational testing workflow based on kallisto and bustools, that utilize robust statistical methods and fast, memory efficient algorithms for processing high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSAs.

The performance of select universities of medical sciences based on the components affecting medical education

Background: Every educational institution requires an evaluation system in order to find out about the quality and desirability of its activities, especially if it is a complex and dynamic environment. The present study was conducted to evaluate the educational performance of schools affiliated to Alborz University of Medical Sciences to help improve their performance. Methods: This descriptive analytical study was conducted in six schools affiliated to Alborz University of Medical Sciences in April 2016-October 2016 and October 2016-April 2017. The evaluation was carried out in two stages: self-assessment by service executives across schools, and external assessment in person by the university’s expert staff. The study tools included the components, criteria and desirable standards of educational performance in ten categories. Data were analyzed in SPSS. Results: The results obtained showed that, in April-October 2016, the highest performance evaluation scores pertained to the "secure testing" and "rules and regulations" components and the lowest to the "packages for reform and innovation in education" and "the school action plan" components. In October 2016-April 2017, the highest scores pertained to "workforce empowerment" and "secure testing" and the lowest to "faculty affairs" and "electronic education management system". Conclusions: Offering a balanced portrayal of the actual performance of schools using the right performance indicators in two consecutive periods can help further motivate the superior schools and encourage the weaker schools to strive harder. Competition among schools to get a higher score in the components affecting medical education helps mobilize them to move toward reform and improvement.

Secure Testing for Genetic Diseases on Encrypted Genomes with Homomorphic Encryption Scheme

The decline in genome sequencing costs has widened the population that can afford its cost and has also raised concerns about genetic privacy. Kim et al. present a practical solution to the scenario of secure searching of gene data on a semitrusted business cloud. However, there are three errors in their scheme. We have made three improvements to solve these three errors. (1) They truncate the variation encodings of gene to 21 bits, which causes LPCE error and more than 5% of the entries in the database cannot be queried integrally. We decompose these large encodings by 44 bits and deal with the components, respectively, to avoid LPCE error. (2) We abandon the hash function used in Kim’s scheme, which may cause HCE error with a probability of 2-22 and decompose the position encoding of gene into three parts with the basis 211 to avoid HCE error. (3) We analyze the relationship between the parameters and the CCE error and specify the condition that parameters need to satisfy to avoid the CCE error. Experiments show that our scheme can search all entries, and the probability of searching error is reduced to less than 2-37.4.