2,056 research outputs found

    CURRENT STATUS, CHALLENGES AND PREVENTIVE STRATEGIES TO OVERCOME DATA INTEGRITY ISSUES IN THE PHARMACEUTICAL INDUSTRY

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    The pharmaceutical industry is currently one of the most dynamic among all industries. At present, it is striking with various compliance challenges like never before there is increased regulation, acquisitions, push toward harmonization and endemic in a Data Integrity (DI) concern. DI weakness is identified, either as a result of an audit or a regulatory inspection, companies with multiple sites should ensure that appropriate corrective and preventive actions are implemented across the organizations and appropriate notification to regulatory authorities should be made wherever applicable. The objective of the study carries the number of issues involved within data integrity in current GMP aspects, the root causes were addressed based on warning letters. This review intends to study the concept of data integrity holistically in all aspects, regulatory expectations and to evaluate the state of compliance and challenges that explore to suggest appropriate remedial and proactive measures to avoid DI issues. There were many challenges involved to overcome the issues, which are all about the one's handling by maintaining good documentation practice. The importance, strategies and recommendations were discussed to overcome from the repeated data integrity mistakes. This review was carried out by systematic searches of data integrity in relevant guidelines, published articles, reviews and abstracts in Google scholar, Pubmed, Science direct, Embase, Web of science, Cochrane database of systematic reviews of articles up to March 2020. The keywords used for gathering information were listed below

    Expanding the repertoire of pyrrolidyl PNA analogues for DNA/RNA hybridization selectivity: aminoethylpyrrolidinone PNA (aepone-PNA)

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    New PNA analogues derived from aminoethylpyrrolidin- 5-one backbone show stabilization of aepone-PNA:DNA hybrids and destabilization of the corresponding RNA hybrids compared to unmodified PNA

    PNA C-C<SUP>+</SUP> i-motif: superior stability of PNA TC<SUB>8</SUB> tetraplexes compared to DNA TC<SUB>8</SUB> tetraplexes at low pH

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    Study of self-assembly of PNA TC8 monitored by UV thermal transition at 295 nm indicates formation of a C-C+ tetraplex (i-motif) in acidic pH, with higher stability than the analogous dTC8

    PHARMACY PROFESSIONS IN INDIADURING COVID-19 PANDEMIC: PRESENT STATUS, FUTURE CHALLENGES AND A WAY FORWARD

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    People in every country became exposed to COVID-19 pandemic and cannot able to find a right solution and strategies to overcome from it. Pharmacy is the most important, dynamic and versatile health care profession in the world, whereas its scope and importance are always being emerging at any situation. Pharmacy professionals (PPs) working proactively for the public even in this pandemic situation. Since dependency is high, the responsibility and preference also high for PPs especially in this pandemic situation. Current status in pharmacy education and emerging future challenges of PPs in all aspects, particularly in thispandemic situation were addressed based on observational studies among various pharma industries and published news of Pharmacy Council of India (PCI). While in the development phase it has crossed many barriers, not only in the economic level,but also involves regulations, duration, process controls, legal hurdles and situational defects. The purpose of this review discusses the evolution and updates in pharmacy, education, pharmacy practice, regulations, and types of challenges along with recommendations for PPs in India in light of the COVID-19 pandemic. This review was carried out to summarize knowledge about the updates and challenges in pharmacy professions in all aspects. Sources were retrieved from relevant guidelines and published articles in Google scholar, Pubmed and Science direct of articles up to June 2020. The keywords used for gathering information were listed below

    Comparison of PSO and GA for K-Node Set Reliability Optimization of a Distributed System

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    Particle Swarm Optimization (PSO), as a novel evolutionary computing technique, has succeeded in many continuous problems, but quite a little research on discrete problem especially combinatorial optimization problem has been reported. In this paper, a discrete PSO algorithm is proposed to solve a typical combinatorial optimization problem: K-Node Set Reliability (KNR) optimization of a distributed computing system (DCS) which is a well-known NP-hard problem is presented. It computes the reliability of a subset of network nodes of a DCS such that the reliability is maximized and specified capacity constraint is satisfied. The feasibility of the proposed algorithm is demonstrated on 8 nodes 11 links DCS topology. The test results are compared with those obtained by the genetic algorithm (GA) method in terms of solution quality and convergence characteristics. Experimental study shows that the proposed PSO algorithm can achieve good results
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