Selection of Mixed Sampling Plan with QSS-1(n; c\u3csub\u3eN\u3c/sub\u3e, c\u3csub\u3eT\u3c/sub\u3e) Plan as Attribute Plan Indexed Through MAPD and LQL

A procedure for the construction and selection of the mixed sampling plan using MAPD as a quality standard with the QSS-1 (n; cN, cT) plan as an attribute plan is presented. The plans indexed through MAPD and LQL are constructed and compared for efficiency. Tables are provided for selection of an appropriate sampling plan

An Efficient Anomaly Detection Through Optimized Navigation Using Dlvq-Cdma And H-Dso In Healthcare Iot Environment

An Anomaly detection (AD) framework intends to discover irregular data and also unusable activities in a system. The abnormality in the healthcare information is picked up by the AD in the healthcare system and then, the outcome is updated for the authority to evaluate the data. Numerous researchers have developed an AD method that has the disadvantage of data loss issues and complexity in computation. An enhanced AD framework utilizing Deep Learning Vector Quantization-Correlation Distance Mayfly Algorithm (DLVQ-CDMA) and Hyper-sphere Dolphin Swarm Optimization (H-DSO) methodology is presented in this work to overcome these disadvantages. By aid of the Internet of Things (IoT)-connected systems, proffered model gathers information about the patient and as well forwards the information to patient's health care application. Information from health care application is then sent via the optimal path by utilizing the H-DSO method. The data is uploaded to the cloud server later and then, it is recovered and provided to the AD system. The data is then pre-processed in an AD system. After extricating the features, the feature reduction is performed by employing the Entropy-Generalized Discriminant Analysis(E-GDA) scheme. Subsequently, the DLVQ-CDMA algorithm is utilized with the required features. Information is formerly categorized as usual data or irregularity data. data, which is attacked is stored in the log file and the normal data will undergo further evaluation for the identification of the presence of disease or disorder. After evaluation, the outcome is communicated to the patient. The experiential analysis specifies that the proffered DLVQ-CDMA methodology executes better than the prevailing methodologies

Angiographic determinants for side branch treatment in distal unprotected left main coronary artery bifurcation percutaneous coronary intervention with single stent crossover technique

 Background: The aim of this study was to analyze angiographic parameters such as bifurcation angle, diameter at the polygon of confluence (POC) and SYNTAX score in predicting the need for side branch treatment with single-stent crossover technique from distal unprotected left main coronary artery (ULMCA) to the major side branch.Methods: This was a retrospective and observational study. A total of 83 patients with distal ULMCA lesions were enrolled. Patients who underwent provisional single-stent crossover technique were compared with patients that required side branch treatment though plain old balloon angioplasty (POBA) 5 (6.0%) or stenting 7 (8.4%). Angiographic parameters, bifurcation angle, diameter at the POC and the SYNTAX score were analyzed for their ability to predict the need for side branch treatment.Results: Mean age of patients was 58.2±5.3 years. Males constituted 61 (73.5%) patients. Post main branch stenting 5 (6.0%) and 7 (8.4%) patients required side branch treatment with POBA and stent implantation, respectively. Binary regression revealed bifurcation angle (Z: 1.15, OR: 0.99, 95% CI: 0.97-1.01, p=0.25), diameter at the POC (Z: 1.1, OR: 0.82, 95% CI: 0.32-2.13, p=0.272) and SYNTAX score (Z: 1.51, OR: 1.18, 95% CI: 0.95-1.45, p=0.132) did not correctly predict the requirement of side branch treatment.Conclusion: Left main coronary artery to main branch stenting can be performed safely with single-stent crossover technique, irrespective of presence of side branch disease across a wide range of bifurcation angles, diameters at the POC and SYNTAX scores.

IN VITRO ANTIDIABETIC, ANTIOXIDANT AND ANTI-INFLAMMATORY ACTIVITY OF CLITORIA TERNATEA L

Objective: To investigate the in vitro Antidiabetic, Antioxidant and Anti-inflammatory activity of Clitoria ternatea L. leaves and flowers. Methods: Phytochemicals of leaves and flowers were analysed by using standard methods. In vitro antioxidant studies were carried out for the ethanolic extract of the Clitoria ternatea leaves and flowers using various free radical models such a DPPH, Reducing power assay and Hydrogen peroxide scavenging assay. In vitro antidiabetic assay such as Non-enzymatic glycosylation of haemoglobin assay, Glucose uptake in Yeast cells and Inhibition of salivary-amylase enzyme were carried in ethanolic extract.. In vitro anti-inflammatory activity such as inhibition of albumin denaturation and membrane stabilization assay were performed in ethanolic extract. Results: Preliminary phytochemical screening of ethanolic extract of the Clitoria ternatea revealed the presence of various bioactive components like alkaloids, flavonoids, steroids, glycosides, phenol, saponin, terpenoids and tannin in both leaves and flowers. Anthroquinone is absent in both the parts studied. The in vitro antidiabetic potential of plant extract was confirmed through non enzymatic glycation, glucose uptake by yeast cells and amylase inhibition methods. Antiinflammatory activity of Clitoria ternaea was also confirmed. Conclusion: The result of the present study concluded that the ethanolic extracts of Clitoria ternaea L. leaves and flowers possess significant antidiabetic, antioxidant and anti-inflammatory activity. The potential pharmacological activity of Clitoria ternaea L. leaves and flowers might be due to the presence of phytochemicals

Research productivity on COVID-19: A Bibliometric approach

The study aimed to explore the perspective of COVID-19 publications across the globe. Further, attempts were also made to find out the most productive country, author, and institute in publishing literature on COVID-19. The data related study was retrieved from SCOPUS database. Various search strategies were used to retrieve publications on COVID-19 published between 1st December 2019 and 22nd June 2020. A total of 19,991 publications on COVID-19 were retrieved from the Scopus database. Further, it was found that Huazhong University of Science and Technology, China has produced 422 publications and received 5624 citations with an average citation of 13.327 per publication. BMJ Clinical Research Ed published 534 (1.61%) articles. Among the most productive authors, Wiwanitkit, Viroj from Hainan Medical University, China stands in the first place with 73 publications followed by Mahase, E. from the British Medical Journal, UK (52 publications) and Iacobucci, Gareth (48 publications). The study provided a relatively objective reference for peer scientists, national regimes, and the global health system. The findings of the study will definitely help the institutions as well as authors to get an opportunity to collaborate with regional, national and international research institutions and scientists

A test architecture design for SoCs using ATAM method

Test arranging is a basic issue in structure on-a-chip (S.O.C) experiment mechanization. Capable investigation designs constrain the general organization check request time, keep away from analysis reserve conflicts, in addition to purpose of restriction control disseminating in the midst of examination manner. In this broadsheet, we absent a fused method to manage a couple of test arranging issues. We first present a system to choose perfect timetables for sensibly evaluated SOC’s among need associations, i.e., plans that spare alluring orderings among tests. This furthermore acquaints a capable heuristic estimation with plan examinations designed for enormous S.O.Cs through need necessities in polynomial occasion. We portray a narrative figuring with the purpose of uses pre-emption of tests to secure capable date-books in favour of SOCs. Exploratory marks on behalf of an educational S-O-C plus a cutting edge SOC exhibit with the aim of capable investigation timetables be able to subsist gained in sensible CPU occasion

Basti - A critical review on the basis of historical aspect

Basti is one of the most vital measure described in different texts for the internal purification of the body. Panchakarma plays a major role in eradicating the disease and its wide applicability bound Acharyas to describe it as 'Chikitsardha'. Because of its said peculiarities, we decided to search and elaborate its descriptions in various texts starting from the oldest one i.e. Vedas. Basti has been described in nearly all texts starting from Veda, Purana upto Yogic and all Ayurvedic Samhitas. Although various Acharyas described its various types and applications but most of the Ayurvedic Samhitas mentioned Basti especially for pacification of Vata Dosha

An approach to Kaarya Karana Vaada in context to Prakruti Sama Samveta and Vikruti Vishama Samvetha

Ayurveda is an ancient science based on different schools of philosophies. As it is an applied science so it has the scientific background. The fundamental principles of Ayurveda are laid down after undergoing experimentation from time to time. This is the reason that these principles are still applicable and holds good even in present era. One such basic principle is Kaarya Karana Vaada (cause and effect theory). Kaarya Karana Vaada consists of two basic philosophy, Satkaaryavaada (theory of existence) and Asatkaaryavaada (theory of non existence). The principles of diagnosis and management of disease according to Ayurveda is based on this Kaarya Karana sidhantha. It helps in understanding the concepts of prakruti Sama Samavetha and vikruti Vishama Samavetha , the two principles explained in Ayurveda to understand the concept of diagnosis , treatment and health management

Multivariate analysis for assessing genetic diversity in different genotypes of okra (Abelmoschus esculentus L. Moench) for varietal improvement

Accurate assessment of genetic diversity facilitates the strategic identification of superior genotypes, enabling the development of high-yielding, climate-resilient cultivars and promoting effective crop improvement strategies. The present study was carried out with 48 different genotypes of Okra (Abelmoschus esculentus (L.) Moench) during (Jan-April 2022) to investigate their genetic diversity. The analysis of genetic divergence using D2 statistics revealed substantial variation among genotypes for the twelve traits studied. The 48 genotypes were grouped into nine clusters, with cluster IV having the highest representation of 24 genotypes, followed by cluster II with 12 genotypes, cluster I with 4 genotypes, cluster III with 3 genotypes, and the remaining clusters with one genotype each. The intra and inter-cluster D2 values ranged from 0 to 95.29 and 103.00 to 588.71, respectively. The highest intra-cluster distance was observed in Cluster III (95.29), and highest inter-cluster distance was observed between cluster V and IX (588.71). This range clearly demonstrated that the inter-cluster distance was greater than the intra-cluster distance indicating wide diversity across the groups. Cluster VII showed a high mean for traits plant height (112.53), peduncle length (3.14), fruit length (20.03), and number of locules (7.87). Cluster V showed the highest mean for the number of fruits (39.33) and yield per plant (1.18). The analysis of all characters' relative contributions showed that the number of fruits per plant and the number of locules per fruit contributed most to genetic divergence. High heterotic effects and desired transgressive segregants are anticipated when different genotypes from clusters with the greatest inter-cluster distance are used for hybridization