646 research outputs found

    ENHANCING CIRCULAR MICROSTRIP PATCH ANTENNA PERFORMANCE USING MACHINE LEARNING MODELS

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    Machine learning (ML) will be heavily used in the future generation of wireless communication networks. The development of diverse communication-based applications is expected to boost coverage and spectrum efficiency in relation to conventional systems. ML may be employed to develop solutions in a wide range of domains, such as antennas. This article describes the design and optimization of a circular patch antenna. The optimization is done through ML algorithms. Six ML models, Decision Tree, Random Forest, XG-Boost Regression, K-Nearest Neighbour (KNN), Gradient Boosting Regression (GBR), and Light Gradient Boosting Regression (LGBR), were employed in this work to predict the antenna's return loss (S11). The findings show that all of these models work well, with KNN having the highest accuracy in predicting return loss of 98.5%. The antenna design & optimization process can be accelerated with the support of ML. These developments allow designers to push beyond the limits of antenna technology, optimize performance, and offer novel solutions for emerging applications such as 5G, 6G, IoT, and flexible wireless communication systems)

    A Novel Approach for Enhancement of Blowfish Algorithm by using DES, DCT Methods for Providing, Strong Encryption and Decryption Capabilities

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    Data safety has evolved into a critical requirement and a duty in modern life. Most of our systems are designed in such a way that it can get hacked, putting our private information at danger. As a result, for numerous safety motives, we utilize various approaches to save as much as possible on this data, regardless of its varied formats, words, photographs, videos, and so on. The data storage capacity of mobile devices is restricted owing to insufficient data storage and processing. In order to develop a safe MCC environment, security concerns must be studied and analysed. This study compares the most widely used symmetric key encryption algorithms, including DES (Data Encryption Standard), Blowfish, TDES (Triple Data Encryption Standard), PRESENT, and KLEIN. The assessment of algorithms is based on attacks, key size, and block size, with the best outcomes in their field

    Evaluation of healthcare waste management among health functionaries of Gujarat

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    Introduction: Health Care Waste (HCW) is generated by various activities in healthcare facilities like hospitals, clinical, research institutions, laboratories, blood banks, etc. HCW is both infectious and hazardous and, unless rendered noninfectious and safe, can prove to be hazardous to people coming in contact with it. Objectives: To assess the Knowledge and Practice regarding HCW Management among health functionaries of districts of Gujarat and its association between the designation and qualification with the Knowledge and Practice score. Methodology: It was an observational and cross-sectional study using pretested, reliable, and valid questionnaire. A sample size of 152 was calculated based on the findings of a pilot study. We have implemented our study in Gujarat, divided into four parts (Saurashtra, Central, South, and North Gujarat). Study sites were selected equally in all four areas. Results: A total of 163 healthcare participants were involved in the study, most respondents were from primary healthcare centers (31.7%), followed by medical college hospitals (14.5%). In our study, Bhavnagar district had the highest number of contributors (21.7%), followed by Morbi district (19.1%). The hospital administrator category had the highest knowledge score, while Infection Control or Waste Management Officer had the highest practice score. MBBS/AYUSH graduates had the highest knowledge and practice scores. It is also apparent that staff nurses had better knowledge and practice scores than ANM. Conclusion: The overall assessment score was good for all health workers. Doctors' better knowledge and practice scores signify qualification's role in BMW management

    A comparative prospective study of platelet rich plasma versus corticosteroid injection in chronic plantar fasciitis

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    Background: The Plantar fasciitis is a common reason for heel pain which manifests as pain at medial process of calcaneal tuberosity. Patients are mostly diagnosed clinically on the basis of history. Conservative treatment in the form of stretching, non-steroidal anti-inflammatories, night splinting, ice packs, strapping, orthosis, and shoe modifications have been in use traditionally. Recently, the use of injectables like corticosteroids and platelet rich plasma (PRPs) has increased. This study aims at comparing the clinic-radiological outcomes of the two injectables in the treatment of chronic plantar fasciitis. Methods: This was a Prospective, Comparative, Randomized, Hospital-based clinical case study conducted in the Department of Orthopaedics, Sawai Man Singh Medical College, Jaipur, Rajasthan. 60 patients of chronic plantar fasciitis were taken and divided randomly into group A (PRP) and group B (corticosteroids) and the results were assessed based on the visual analogue scale (VAS), American Orthopaedic Foot and Ankle Society (AOFAS) score, and the plantar fascia thickness. Results: Mean VAS in Group A decreased from 8.07 before injection to 2.9 after injection and in Group B decreased from before 8.33 injection to 3.13 after injection, at the final follow-up. Mean AOFAS score improved from 54.06 to 90.60 and from 54.86 to 75.13 in the respective groups at the 6-months follow-up. Plantar fascia thickness (as measured using ultrasonography) decreased from 5.77 to 3.32 and from 5.6 to 3.73 in the respective groups. The improvements observed were statistically significant. Conclusions: Local injection of platelet rich plasma is an effective treatment option for chronic plantar fasciitis when compared with steroid injection with long lasting beneficial effects

    Isolation and Characterization of Stigmasterol from Fritillaria roylei

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    Fritillaria roylei (Kshirakakoli) is the threatened species of “Ashtwarga†group suffers lot of confusion for identification & authentification in Ayurvedic system of medicine. Due to lack of natural sources and insufficient availability of kshirakakoli, chances of adulteration and substitution increases which in turn leads to loss of faith of people in herbal drugs. Thus for identification and differentiation, quality standardization and quality assurance of kshirakakoli containing herbal formulations there is a need to isolate chemical marker compound using advanced analytical techniques. The methanol extract of root samples of plant was prepared and phytochemical screening was performed. Marker compound was isolated from the extract using column chromatography. Single compound having Rf value 0.31 was isolated with TLC by using mobile phase n-hexane: ethyl acetate: formic acid (8:2:0.1 v/v/v) and purified by re-crystallization with methanol. Isolated compound was further characterized by using melting point and spectral analysis. The methanol extract was dark brown in color and showed the presence of steroids, amino acids and flavonoids. The isolated compound was found to be white crystalline powder with melting point range of 167-169°C. Spectral analysis confirmed the presence of Stigmasterol. In present study stigmasterol was isolated for the first time and can be used as chemical marker for identification and differentiation of the plant from its substitutes

    Compliance Level of Textual Therapeutic Usage of Kshirakakoli Containing Formulations with a Serial Ethnomedicinal Survey and Modern System of Medicine

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    Fritillaria roylei (Kshirakakoli) is a primal plant used in ancient times. But nowadays, due to biotic and abiotic stress the plant has entered in the list of threatened medicinal plant. In ancient texts effective uses of formulations containing kshirakakoli are well mentioned but the information is not written in simple language due to which the therapeutic value of the plant is not well understood by scientific fraternity. So, there is a major need to perform ethno medicinal survey for the formulations containing kshirakakoli and compare their therapeutic uses as mentioned in text with the modern system of medicine. In this study, a field survey was performed in 4 states i.e., Uttar Pradesh, Uttrakhand, Punjab and Himachal Pradesh where the conversation regarding usage of this plant or formulation was done with 24 local medical practitioners, 18 shopkeepers and 4 traditional healers. The information thus obtained were recorded and then compared. Results showed that the usage of kshirakakoli containing formulations was highest in Himachal Pradesh and Uttrakhand. Only few clinical studies have been done on these formulations. The effectiveness of the formulations against remedies alluded by the trado-medical practitioners claimed was found accurate as per ayurvedic textual literature. Hence, the ethno medicinal survey provides a precise guidance to scientists for future research on these kshirakakoli containing formulations that are useful in plethora of disorders

    Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography:an international expert consensus

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    The Gallbladder Reporting and Data System (GB-RADS) ultrasound (US) risk stratification is proposed to improve consistency in US interpretations, reporting, and assessment of risk of malignancy in gallbladder wall thickening in non-acute setting. It was developed based on a systematic review of the literature and the consensus of an international multidisciplinary committee comprising expert radiologists, gastroenterologists, gastrointestinal surgeons, surgical oncologists, medical oncologists, and pathologists using modified Delphi method. For risk stratification, the GB-RADS system recommends six categories (GB-RADS 0–5) of gallbladder wall thickening with gradually increasing risk of malignancy. GB-RADS is based on gallbladder wall features on US including symmetry and extent (focal vs. circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. GB-RADS represents the first collaborative effort at risk stratifying the gallbladder wall thickening. This concept is in line with the other US-based risk stratification systems which have been shown to increase the accuracy of detection of malignant lesions and improve management. Graphical abstract: [Figure not available: see fulltext.]

    Prevalence, Distribution and Functional Significance of the −237C to T Polymorphism in the IL-12Rβ2 Promoter in Indian Tuberculosis Patients

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    Cytokine/cytokine receptor gene polymorphisms related to structure/expression could impact immune response. Hence, the −237 polymorphic site in the 5′ promoter region of the IL-12Rβ2 (SNP ID: rs11810249) gene associated with the AP-4 transcription motif GAGCTG, was examined. Amplicons encompassing the polymorphism were generated from 46 pulmonary tuberculosis patients, 35 family contacts and 28 miscellaneous volunteers and sequenced. The C allele predominated among patients, (93.4%, 43/46), and in all volunteers and contacts screened, but the T allele was exclusively limited to patients, (6.5%, 3/46). The functional impact of this polymorphism on transcriptional activity was assessed by Luciferase-reporter and electrophoretic mobility shift assays (EMSA). Luciferase-reporter assays showed a significant reduction in transcriptional efficiency with T compared to C allele. The reduction in transcriptional efficiency with the T allele construct (pGIL-12Rb2-T), in U-87MG, THP-1 and Jurkat cell lines, were 53, 37.6, and 49.8% respectively, compared to the C allele construct (pGIL-12Rb2-C). Similarly, densitometric analysis of the EMSA assay showed reduced binding of the AP-4 transcription factor, to T compared to the C nucleotide probe. Reduced mRNA expression in all patients (3/3) harboring the T allele was seen, whereas individuals with the C allele exhibited high mRNA expression (17/25; 68%, p = 0.05). These observations were in agreement with the in vitro assessment of the promoter activity by Luciferase-reporter and EMSA assays. The reduced expression of IL-12Rβ2 transcripts in 8 patients despite having the C allele was attributed to the predominant over expression of the suppressors (IL-4 and GATA-3) and reduced expression of enhancers (IFN-α) of IL-12Rβ2 transcripts. The 17 high IL-12Rβ2 mRNA expressers had significantly elevated IFN-α mRNA levels compared to low expressers and volunteers. Notwithstanding the presence of high levels of IL-12Rβ2 mRNA in these patients elevated IFN-α expression could modulate their immune responses to Mycobacterium tuberculosis

    Azimuthal anisotropy of charged jet production in root s(NN)=2.76 TeV Pb-Pb collisions

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    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

    Production of He-4 and (4) in Pb-Pb collisions at root(NN)-N-S=2.76 TeV at the LHC

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    Results on the production of He-4 and (4) nuclei in Pb-Pb collisions at root(NN)-N-S = 2.76 TeV in the rapidity range vertical bar y vertical bar <1, using the ALICE detector, are presented in this paper. The rapidity densities corresponding to 0-10% central events are found to be dN/dy4(He) = (0.8 +/- 0.4 (stat) +/- 0.3 (syst)) x 10(-6) and dN/dy4 = (1.1 +/- 0.4 (stat) +/- 0.2 (syst)) x 10(-6), respectively. This is in agreement with the statistical thermal model expectation assuming the same chemical freeze-out temperature (T-chem = 156 MeV) as for light hadrons. The measured ratio of (4)/He-4 is 1.4 +/- 0.8 (stat) +/- 0.5 (syst). (C) 2018 Published by Elsevier B.V.Peer reviewe
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