240 research outputs found
Optimal fuzzy-PID controller with derivative filter for load frequency control including UPFC and SMES
A newly adopted optimization technique known as sine-cosine algorithm (SCA) is suggested in this research article to tune the gains of Fuzzy-PID controller along with a derivative filter (Fuzzy-PIDF) of a hybrid interconnected system for the Load Frequency Control (LFC). The scrutinized multi-generation system considers hydro, gas and thermal sources in all areas of the dual area power system integrated with UPFC (unified power flow controller) and SMES (Super-conducting magnetic energy storage) units. The preeminence of the offered Fuzzy-PIDF controller is recognized over Fuzzy-PID controller by comparing their dynamic performance indices concerning minimum undershoot, settling time and also peak overshoot. Finally, the sensitiveness and sturdiness of the recommended control method are proved by altering the parameters of the system from their nominal values and by the implementation of random loading in the system
COMPARATIVE STUDY ON ANTIMICROBIAL ACTIVITY OF TULSI (OCIMUM SANCTUM) AND NEEM (AZADIRACHTA INDICA) METHANOL EXTRACT
Objective: This study was focused on to compare the antimicrobial activity of methanolic leaf extracts of tulsi and neem.Methods: We have chosen tulsi (Ocimum sanctum) and neem (Azadirachta indica) to compare their antimicrobial activity toward Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria. Phytochemical extracts have been made by the use of methanol as solvent and dried leaf powder by the cold maceration extraction process. Phytochemical analysis for some secondary metabolites has been done using standard protocols. Nutrient agar plates were inoculated with the above-mentioned microorganisms by spreading bacterial inoculum on the surface of the media. Wells (6 mm in diameter) were punched in the agar. The phytochemical extracts of neem and tulsi were allowed to diffuse into the medium, and after incubation of 24 h at 37°C, the zones of inhibition were observed.Results: Statistical analysis showed that tulsi was more effective toward S. aureus while neem was more effective toward E. coli. Minimum inhibitory concentration (MIC) of tulsi for both the microorganisms was 0.4 g/ml, and the MIC of neem for both the microorganisms was 0.2 g/ml. When both the tulsi and neem extract were mixed with each other for every concentration at equal volume, they have shown better effects in comparison to individual neem or tulsi extract and also the MIC got reduced to 0.2 g/ml for both the bacteria.Conclusions: Leaf extracts of both the A. indica and O. sanctum have shown antimicrobial activity against E. coli and S. aureus. A. indica has higher antimicrobial activity against S. aureus, whereas the O. sanctum was found to be more effective against E. coli (indicated by the zone of inhibition). When both the extracts were mixed with each other, they have shown a better effect toward both bacteria
Study on Information need and Seeking Behavior of the Health Science Students of an Indian Deemed University
Objective: The objective of this study was to find out the study habit of health science students by using library of SIKSHA ‘O’ ANUSANDHAN University, Bhubaneswar. Methods: All the information are collected form students of four health science institutions of this University (N=420). All data were analyzed with the help of SPSS 20 software.
Results: This study found the use of e-resources for information retrieval by the students regularly or daily through internet /e-library which is higher than other retrieval process. Text, reference books and e-journals are also cited frequently by the students.
Conclusions: Though popular, ordinal rankings cannot adequately describe the multidimensional nature of health science students’ attitude on seeking information. This study provides statistics that can be used in conjunction with other sound methodologies to provide a more authentic view on this matter. The large variance of the collected data suggests that refining seeking behavior by discipline, peer groups, or journal information may provide a more precise assessment
Mitochondrial ATPase 6/8 genes to infer the population genetic structure of silver pomfret fish Pampus argenteus along the Indian waters
Silver pomfret, Pampus argenteus is an economically important seafood species. The fishery
resource of pomfret in Indian waters shows a dwindling catch since the last few years and the
pomfrets caught were mostly undersized which calls for immediate attempts for management
of resources. An accurate definition of population structure is important for management of
this species. The genetic stock structure of P. argenteus distributed along Indian coast was
identified using analysis of 842 bp of complete ATPase 6/8 genes of mitochondrial DNA.
Altogether, 83 silver pomfret (P. argenteus) collected from 4 locations along Indian coast
(Gujarat, Kerala, Tamil Nadu and West Bengal) were sequenced. Twenty four haplotypes were
identified among 83 individuals with haplotype diversity (0.87) and nucleotide diversity
(0.0025). The significant pair-wise FST and AMOVA values, between samples from West Bengal
(east coast) and other locations along the west coast (Gujarat and Kerala) indicated the
occurrence of distinct population structure in silver pomfret along the coast
Impact of financial risk on supply chains: a manufacturer-supplier relational perspective
This study aims to analyse the manufacturer-supplier relational perspective under the influence of exogenous financial risk. Following corporate finance theory, a multi-objective decision model for supplier selection and order allocation is developed to maximise the total profit of the manufacturer, and minimise the implicit equity stake and financial risk faced by selected suppliers. A two-echelon supply chain is explored under the influence of foreign exchange risk, default risk, market risk and price fluctuation risk, and solved using an NSGA-III algorithm. Three case scenarios are analysed to explore the influence of a set of financial risk on the manufacturer-supplier relationship and the behaviour of suppliers concerning risk profile, both in the short and long-term horizon. The results are analysed from both the manufacturer as well as supplier perspective, and the optimal conditions are discussed under the cascading risk circumstances. The study provides multiple insights into the impact of financial risk on supply chain relationship and will be valuable for dealing with similar uncertain economic environment. The research is likely to be of benefit beyond supply chain managers, like investors and financial risk managers in making informed decisions. The need to focus on systemic risk in supply chains is evident from the study
Novel Insights into the Antimicrobial Resistance and Strategies to Curb the Menace
Antibiotics are an essential part of modern healthcare, revolutionizing medicine and saving countless lives worldwide. However, the emergence of antimicrobial resistance (AMR) is a growing concern, with the potential to cause a public health crisis in the future. The aim of this review article is to provide an overview of the microbial and anthropogenic factors contributing to AMR, as well as the consequences of inaction to address the AMR crisis. We searched various international databases such as PubMed, Scopus, ScienceDirect and Google Scholar using “Antimicrobial Resistance”,” Superbug”, “Antibiotic Stewardship”, “One Health’ and “Surveillance” as search keywords in different combinations. We have thoroughly discussed the causes of AMR, such as the overuse and misuse of antibiotics, and the development of resistant strains of bacteria. We have also suggested possible interventions to combat AMR, such as the one health approach, antibiotic stewardship protocols, and the application of artificial intelligence in drug design. Additionally, we have explored the benefits of traditional ethnic medicinal practices in therapy. In conclusion, this review article emphasized the urgent need for a comprehensive and strategic plan to address the issue of AMR. Further in-depth research and novel approaches can mitigate the growing menace of AMR and safeguard both human and animal populations
Pathogenesis, Diagnosis and Therapeutic Strategies for Ventilator-associated Pneumonia
Ventilator-associated pneumonia (VAP) is a major health care associated infection which usually emanates from aspiration, immigration of pathogens from aerodigestive tract, adulterated appliance uses or medications. The mortality rate due to VAP is approximately 13% and the causative organisms are bacteria, viruses, and fungi. Many studies have investigated the causative organisms as Pseudomonas spp., Acinetobacter spp., Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus with varying prevalence. Intensive Care Unit (ICU) admitted patients who are ventilated, are more prone to the infections where the pathogens adhere to the mucosa of lower respiratory tract of mechanically ventilated patients and start infections. Clinical diagnosis based on Clinical Pulmonary Infection Score (CPIS) has poor specificity and microbiological findings takes 48-72 hrs, that can delay the treatment of patients. Lymphopenia on complete blood count is a predictor of mortality in VAP patients, but decreased lymphocyte count occurs in various other infections too. Multiplex PCR is a better diagnostic technique for VAP which can even diagnose atypical bacteria along with other etiological agents. Effectively employing sampling techniques is a vital step in the diagnosis of VAP, enabling the identification of pathogens responsible for lung infections. Furthermore, the emergence of novel therapeutic options approved by regulatory bodies, adds significant advancements in VAP treatment. In this review article, we have performed an in-depth study on the pathogenesis, diagnosis and therapeutic strategies involved in VAP. This study will help the researchers working in this area to design their work appropriately with the updated knowledge on VAP
Properties and physiological effects of dietary fiber-enriched meat products: a review
Meat is a rich source of high biological proteins, vitamins, and minerals, but it is devoid of dietary fiber, an essential non-digestible carbohydrate component such as cellulose, hemicellulose, pectin, lignin, polysaccharides, and oligosaccharides. Dietary fibers are basically obtained from various cereals, legumes, fruits, vegetables, and their by-products and have numerous nutritional, functional, and health-benefiting properties. So, these fibers can be added to meat products to enhance their physicochemical properties, chemical composition, textural properties, and organoleptic qualities, as well as biological activities in controlling various lifestyle ailments such as obesity, certain cancers, type-II diabetes, cardiovascular diseases, and bowel disorders. These dietary fibers can also be used in meat products as an efficient extender/binder/filler to reduce the cost of production by increasing the cooking yield as well as by reducing the lean meat content and also as a fat replacer to minimize unhealthy fat content in the developed meat products. So, growing interest has been observed among meat processors, researchers, and scientists in exploring various new sources of dietary fibers for developing dietary fiber-enriched meat products in recent years. In the present review, various novel sources of dietary fibers, their physiological effects, their use in meat products, and their impact on various physicochemical, functional, and sensory attributes have been focused
Azimuthal anisotropy of charged jet production in root s(NN)=2.76 TeV Pb-Pb collisions
We present measurements of the azimuthal dependence of charged jet production in central and semi-central root s(NN) = 2.76 TeV Pb-Pb collisions with respect to the second harmonic event plane, quantified as nu(ch)(2) (jet). Jet finding is performed employing the anti-k(T) algorithm with a resolution parameter R = 0.2 using charged tracks from the ALICE tracking system. The contribution of the azimuthal anisotropy of the underlying event is taken into account event-by-event. The remaining (statistical) region-to-region fluctuations are removed on an ensemble basis by unfolding the jet spectra for different event plane orientations independently. Significant non-zero nu(ch)(2) (jet) is observed in semi-central collisions (30-50% centrality) for 20 <p(T)(ch) (jet) <90 GeV/c. The azimuthal dependence of the charged jet production is similar to the dependence observed for jets comprising both charged and neutral fragments, and compatible with measurements of the nu(2) of single charged particles at high p(T). Good agreement between the data and predictions from JEWEL, an event generator simulating parton shower evolution in the presence of a dense QCD medium, is found in semi-central collisions. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe
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