Rise of Big Data Due to Hybrid Platform of Cloud Computing and Internet of Thing

Cloud computing and internet of thing are two main technology which are used in different field of life. Cloud resources are providing as universal tools and any user can rent and release these services with the help of internet. It becomes 21st century technology due to combination of high bandwidth communication and low cost computing with storage. The Internet of Things (IoT) refers to a network comprised of physical objects capable of gathering and sharing electronic information. IoT includes a wide variety of “smart†devices, from industrial machines that transmit data about the production process to sensors that track information about the human body. The integration of these two technologies is known as CloudIoT paradigm. The adoptions of CloudIoT paradigm in the different field of life bring huge change. This paper presents a comprehensive review of the current literature on integration of CC and IoT along with their opportunities in different field of life and due to these two technology Big data issue occur

(R1992) RBF-PS Method for Eventual Periodicity of Generalized Kawahara Equation

In engineering and mathematical physics, nonlinear evolutionary equations play an important role. Kawahara equation is one of the famous nonlinear evolution equation appeared in the theories of shallow water waves possessing surface tension, capillary-gravity waves and also magneto-acoustic waves in a plasma. Another specific subjective parts of arrangements for some of evolution equations evidenced by findings link belonging to their long-term actions named as eventual time periodicity discovered over solutions to IBVPs (initial-boundary-value problems). Here we investigate the solution’s eventual periodicity for generalized fifth order Kawahara equation (IBVP) on bounded domain in combination with periodic boundary conditions numerically exploiting mesh-free technique called as Radial basis function pseudo spectral (RBF-PS) method

MLQD: A package for machine learning-based quantum dissipative dynamics

Machine learning has emerged as a promising paradigm to study the quantum dissipative dynamics of open quantum systems. To facilitate the use of our recently published ML-based approaches for quantum dissipative dynamics, here we present an open-source Python package MLQD (https://github.com/Arif-PhyChem/MLQD), which currently supports the three ML-based quantum dynamics approaches: (1) the recursive dynamics with kernel ridge regression (KRR) method, (2) the non-recursive artificial-intelligence-based quantum dynamics (AIQD) approach and (3) the blazingly fast one-shot trajectory learning (OSTL) approach, where both AIQD and OSTL use the convolutional neural networks (CNN). This paper describes the features of the MLQD package, the technical details, optimization of hyperparameters, visualization of results, and the demonstration of the MLQD's applicability for two widely studied systems, namely the spin-boson model and the Fenna--Matthews--Olson (FMO) complex. To make MLQD more user-friendly and accessible, we have made it available on the XACS cloud computing platform (https://XACScloud.com) via the interface to the MLatom package (http://MLatom.com)

AN EFFECTIVENESS SCAN OF THE PUBLIC HEALTH INSURANCE PROGRAM OF KHYBER PAKHTUNKHWA

This study target Health Insurance Program by government of KP, its budget allocation and utilization, level of awareness, and patient demographic profiles. The study also covers disease coverage and the minimum and maximum cost of the diseases. The study's population is the three major Medical Teaching Institutions (MTIs) of Peshawar. Sample of the study comprises 9,000 patients selected using purposive sampling approach from 2018 to 2020. The findings show that a lower average budget utilization ratio accounts for a lower level of public awareness. The study found that males dominate females by 55% in availing the Sehat Sahulat facility. The cardiac issue is the most common disease treated by the program. These findings are expected to assist policymakers in developing strategies for utilizing the program's resources. MTIs and insurance firms' managers may emphasize diseases cured and higher budget utilization ratios. Furthermore, policymakers may address less-covered areas and patient characteristics through awareness seminars to ensure the program's effectiveness. Finally, the study adds to the current literature by including imperial evidence from Khyber Pakhtunkhwa; Pakistan in the program. Future studies may address comparative analysis of the said program with the other insurance coverage programs

Convalescent Plasma Therapy in Coronavirus Disease 2019 (COVID-19) Patients: A Brief Review

The recent outbreak of the COVID-19 pandemic has reevaluated effectiveness of the convalescent plasma therapy (CPT). This review was carried out to assess the usefulness of CPT in critically COVID-19 patients, based on the published data to date. To the best of our knowledge, this is the second review of the usefulness of CPT in COVID-19 patients. PubMed, Google Scholar, Medline and EMBASE databases were searched for the relevant reports up to June 21, 2020. All the records of the published data were analyzed according to eligibility criteria protocols. Five different studies on CPT for COVID-19 critically ill patients were included in this review. The significant findings from the records are: (a) the CPT may help to reduce mortality in the seriously ill patients (b) administration of CPT increased antibodies titer and reduced the level of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA beyond detection limit (c) transfusion of convalescent plasma (CP) subsided clinical symptoms. Based on the currently available data, the CPT in the COVID-19 patients seems effective, safe and reduces mortality. There is urgent need of performing well-designed, multicenter clinical trials for establishing efficacy of the CPT in COVID-19 patients

Pharmacodynamic evaluation of Terminalia bellerica for its antihypertensive effect.

Terminalia bellerica has been used as a folk medicine in a variety of ailments including hypertension. Our aim was to investigate the possible mechanism of its blood pressure (BP)-lowering effect. The crude extract of Terminalia bellerica fruit (Tb.Cr) which tested positive for flavonoids, sterols and tannins induced a dose-dependent (10-100 mg/kg) fall in the arterial BP of rats under anaesthesia. In isolated guinea-pig atria, Tb.Cr inhibited the force and rate of atrial contractions. In rabbit thoracic aorta, Tb.Cr relaxed the phenylephrine (PE, 1 μM) and K+ (80 mM)-induced contractions as well as suppressed the PE (1 μM) control peaks in the Ca++-free medium, similar to that caused by verapamil. The vasodilator effect of Tb.Cr was endothelium-independent as it was not opposed by Nω-nitro-L-arginine methyl ester in endothelium-intact rat aortic preparations and it occurred at the similar concentration in the endothelium-denuded tissues. These results indicate that Terminalia bellerica lowers BP through Ca++ antagonist mechanism and thus provides a sound mechanistic background for its medicinal use in hypertensio

Antisecretory and analgesic activities of Terminalia bellerica

This study describes the antisecretory and analgesic activities of the crude extract of Terminalia bellerica (Tb.Cr). T. bellerica extract inhibited the castor oil-induced intestinal fluid secretion in mice at the dose range of 300 - 1000 mg/kg. The extract also dose-dependently (50 - 100 mg/kg) reduced the numbers of acetic acid-mediated writhes in mice. These results indicate that T. bellerica exhibit antisecretory and anti-nociceptive effects, hence justifying its medicinal use in diarrhea and pain

The impacts of informality on enterprise innovation, survival and performance: Some evidence from Pakistan

The aim of this paper is to evaluate the relationship between informality, innovation and firm survival. To do so, a study of a cluster of electrical fittings firms in Pakistan is reported. Reporting bivariate and multivariate probit models to analyze two surveys conducted between 2008 and 2017, the finding is that there is a significant relationship between informality and the extent of innovation, firm survival and firm performance. Informality has an adverse negative effect on firm-level innovation, firm survival and firm performance. Given that formal enterprises in this cluster are better performing in terms of innovation, survival and employment growth than informal businesses, the paper concludes by discussing the theoretical, policy and research implications