1,721,528 research outputs found
Nutritional Composition of Five Soil-Dwelling Scarab Beetles (Coleoptera: Scarabaeidae) of Assam, India
No full textBhattacharyya, Badal, Choudhury, Banajit, Das, Pranati, Dutta, Satyendra Kumar, Bhagawati, Sudhansu, Pathak, Khanin (2018): Nutritional Composition of Five Soil-Dwelling Scarab Beetles (Coleoptera: Scarabaeidae) of Assam, India. The Coleopterists Bulletin 72 (2): 339-346, DOI: 10.1649/0010-065X-72.2.339, URL: http://dx.doi.org/10.1649/0010-065x-72.2.33
Covid-19 Diagnosis from X-Ray Images using Support Vector Machine
No full textAbstract: Coronavirus disease strike the world in 2019 and commonly called COVID-19 with its update given by the World Health Organization (WHO) on December 31, 2019. It infected more than 100 countries, an infectious disease strike the whole world and people of all age groups became a global health emergency. This disease can transmit from person to person through respiratory droplets and thus is highly contagious. The second wave almost killed billions of persons and lead to several liver problems, pneumonia, respiratory failure, cardiovascular diseases, etc. This can be symptomatic as well as asymptomatic in some patients and thus lead to increased communicability. Machine Learning is a latest trend currently useful in almost all research areas. Using these techniques to diagnose corona makes it highly feasible to cope up with this emergency. Different methods for testing corona virus are present but they require huge delay, are expensive, highly dependent test kits, higher negative false rate and prone to human errors. In this article we provide the state of the art of the covid diagnosis using Chest X ray images and this can guide both clinicians and technologists. A support vector machine is used to train the model and classify images into normal, pneumonia, and covid images. An overall accuracy of 95% is achieved using this method.
Keywords: COVID-19, Corona Virus, Machine Learning, Convolutional Neural Network, Support Vector Machine, X-ray images, Pneumonia.
Title: Covid-19 Diagnosis from X-Ray Images using Support Vector Machine
Author: Satyendra Kumar Sagar
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN 2350-1022
Vol. 9, Issue 2, October 2022 - March 2023
Page No: 24-32
Paper Publications
Website: www.paperpublications.org
Published Date: 16-December-2022
DOI: https://doi.org/10.5281/zenodo.7446436
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/Covid-19%20Diagnosis%20from%20X-Ray-16122022-2.pdfInternational Journal of Recent Research in Mathematics Computer Science and Information Technology, ISSN 2350-1022, Paper Publications, Website: www.paperpublications.or
Models in Management Science: Issues in Implementation
Full text linkBased on an empirical analysis of several real-life case studies in this paper, we identify the key drivers for maximizing the chances of successful implementation of management science models. The choice of (technique) methodology used, model sophistication, top management involvement, training and orientation of middle management cadre in the organization, intensity of competition, perceived fear and anxiety in implementing the new solution procedure by the front-line staff, and the involvement of an implementation agency in the organization emerge as some of the key elements that influence the effectiveness of the implementation process. Based on the experience of these situations, we propose a broad framework for an effective implementation of management science model.
Recent Advances in Lossy Mode Resonance-Based Fiber Optic Sensors: A Review
Full text linkFiber optic sensors (FOSs) based on the lossy mode resonance (LMR) technique have gained substantial attention from the scientific community. The LMR technique displays several important features over the conventional surface plasmon resonance (SPR) phenomenon, for planning extremely sensitive FOSs. Unlike SPR, which mainly utilizes the thin film of metals, a wide range of materials such as conducting metal oxides and polymers support LMR. The past several years have witnessed a remarkable development in the field of LMR-based fiber optic sensors; through this review, we have tried to summarize the overall development of LMR-based fiber optic sensors. This review article not only provides the fundamental understanding and detailed explanation of LMR generation but also sheds light on the setup/configuration required to excite the lossy modes. Several geometries explored in the literature so far have also been addressed. In addition, this review includes a survey of the different materials capable of supporting lossy modes and explores new possible LMR supporting materials and their potential applications in sensing
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Total Synthesis of Biologically Active Natural Products Involving Asymmetric Induction Using Chiral Catalysis
No full textWe have described herein enantioselective approaches for the synthesis of (+)-serinolamide A, (-)-haliclamide, (+)-petromyroxol, (+)-phomonol, (+)-epi-muricatacin and (-)-6-acetoxy-hexadecanolide employed Trost’s DYKAT, MacMillan organocatalyzed aldol reaction, Sharpless AD and Jacobsen’s HKR reactions as key steps.. The merits of these synthetic approaches are high enantio- and diastereoselectivity with high yielding reaction steps. All the new compounds were characterized by 1H-NMR, 13C NMR, HRMS, %ee by chiral HPLC and [α]D25 for all new chiral compounds
Efficient approach for the synthesis of threo-α-amino epoxides
No full textMaster of Science, DissertationA practical and distereoselective synthesis of threo-α-amino epoxides 1a has been achieved employing (S,S)-DACH-Phenyl Trost Ligand and m-CPBA epoxidation. The synthesis strategy describe as significant potential for further extension to other isomers and related analogues including natural products, non-peptidic protease inhibitors, synthesis of hydroxyethylamine, hydroxyethylene dipeptide isosters, anti cancer and antibiotic products, novel amino acids, NMDA antagonists, potent inhibitors of aspartic acid proteases such as rennin or HIV-proteaseSchool of Chemistry and Biochemistry, Thapar University, Patial
InCl3 Catalyzed Regioselective Opening of Epoxide with Indole; Enantioselective Approach towards the Synthesis of Sattazolin
No full textM Sc-Chemistry,ThesisAn enantioselective synthetic approach towards total synthesis of Sattazolin1 has been attempted employing Jacobsen’s HKR and InCl3 catalyzed alkylation of indoleas the key steps.School of Chemistry and Biochemistry, Thapar University, Patial
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