Volume 10 | Issue 8 |

 Abstract

In this new era, where tremendous information is available on the internet, it is most important to provide the improved mechanism to extract the information quickly and most efficiently . It is very difficult for human beings to manually extract the summary of a large documents of text. So there is a problem of searching for relevant documents from the number of documents available, and absorbing relevant information from it. In order to solve the above two problems, the automatic text summarization is very much necessary. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings. In this paper, we present a new graph-based text summarizer method. The proposed method is fast and can be implement for text summarization.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automatic Text Summarization, Extractive Summarization, Abstractive Summarization, Pegasus

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Metaheuristic algorithm, Multiple Depot Vehicle Routing Problem, Intelligent Water Drop algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Parmelia perlata (Huds) Ach. (Lichen, parmeliaceae), Commonly known as black stone flower(pathar ke pool) in India, and is usually used as a spice to enhance the taste and flavor of the foods. It is also useful to treat sores, boils, inflammations Seminal weakness and amenorrhea. OBJECTIVE: This study was to make photochemical screening to determine the secondary metabolite present on Parmelia perlata and to test efficacy of P.perlata, which is used in traditional medicine for infection and wound healing against test bacteria and fungi.a METHOD: Preparation of plant extract by percolation process, that is macerated plant powders were soaked in solvents such as Ethanol, Acetone, Aqueous Double distilled water individually. The phytochemical screening is done on the dried powder different solvents extract to investigate the phytochemical groups as alkaloids, flavonoids, terpenoids, tannins, phenolic compounds, quinines, cardiac glycosides, Saponines and steroids etc. and also identified primary metabolites like amino acids, proteins and polysaccharides. and also in this present study aims to green synthesis of silver nano-particles using parmelia perlate (Lichen) thalli extracts. And then characterization of the synthesized silver nano-particle with plant extract by UV-visible, FT-IR, XRD, SEM. The bio-reduction of aqueous silver ions by the plant extract of thalli parmelia perlata is a good source for green chemistry approach. CONCLUSION: This green method is simple, rapid, Eco-friendly, and reliable and itmay have a potential use in the bio-medical applications. In the future, selection of such plants may create a new plat-form for realizing the potential of herbal medicines In Nano-science for drug delivery.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parmelia perlata (Lichen), Phyto chemical screening lichen extracts,Green synthesis of silver Nano-particles of Lichen extracts, UV-visible, FT-IR, XRD, SEM.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Dell laptops, Customers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perfectionism, Self-efficacy, Somatic, Personality

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction: Accurate patient diagnosis is utmost important and foremost step for the proper clinical treatment; hence the role of diagnostic equipment is pivotal. However, improper maintenance and lack of skilled workforce and trained technicians are major cause for improper use and equipment failure in Indian scenario. Materials and methods: An analytical and observational study was conducted in the dental department, in 2020 to evaluate the use coefficient (UC) of 7clinical dental equipment. While conducting the study the factors affecting the application of equipment also studied. Results: On examination it was noticed, the use of equipment was 42%. The 04 equipment were not used sufficiently among the studied 07, and only 03equipment were used as per routine. Dental chair was utilized maximally with an average of 79% and UC of 82%, followed by IOPA machines with UC of 65% and ultrasonic scalars with UC 55%. Whereas, the least used equipment include Dental microscope and Vista Scan mini with UC 10% and 8% respectively. The result has been statistically significant between training, skill, and utilization. Conclusion: maximum utilisation of equipment will promote return in investments. As a cost of medical treatment is certainly high, trained technicians and assistance will enhance the outcome of the equipment, thereby the quality of treatment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dental equipment, use coefficient, utilization equipment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Android, Abused Permission, Privacy, Mobile Apps

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Creative Commons Attribution 4.0 and The Open Definition

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The new human coronavirus illness, COVID-19, is currently considered the most fatal sickness it has ever produced. In addition to augmenting number of deaths, the COVID-19 epidemic it has also resulted in intense hunger and decreased economic productivity in the countries it has reached. More and more people are being infected with the coronavirus (COVID-19). The early detection & separation of COVID-19 individuals does seem to be essential in halting the disease's spread.. In order to identify COVID-19 consistently and quickly, deep learning (DL) algorithms are an excellent solution. In hospitals, there is a limited supply of COVID-19 testing kits caused by a lack of radiologists, and this is exacerbated by a lack of facilities because of upsurge into COVID-19 cases as a result of rising number of people infected. If you're not an expert at doing this kind of thing, you may find it challenging. Accurate COVID-19 diagnoses or treatment, as well as inadequate detection methods are to blame for the deaths of many individuals. Using chest X-ray pictures of patients, this research proposes a novel detection and classification method for quickly diagnosing COVID-19. It can be diagnosed quickly using a method known as HOG. Covid-19 diagnosis based on X-ray imaging is the foundation of our system proposal.

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Creative Commons Attribution 4.0 and The Open Definition

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Corona-virus, Covid-19, Chest X-Ray, HOG, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Corporate Social Responsibility, Banks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NEP 2020, Liberal Education, Liberal Learning, multidisciplinary education

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Creative Commons Attribution 4.0 and The Open Definition