Volume 11 | Issue 2 |

 Abstract

As we know in India process of finding investors for startup is very slow and struggling. We are building a online platform to establish business community network using Machine Learning and business analytics. The platform will help the entrepreneur and startups to establish a network with the investors. And it will be a easy path to connect investors for their business

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 Keywords

Startup, Machine Learning, Visualization, Entrepreneurship, Investor, Recommendation System

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Creative Commons Attribution 4.0 and The Open Definition

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Smart People can quickly obtain and publish the news through many platforms i.e., social media, blogs, and websites, among others. Everything that is available on these plat-forms in not credible and it became imperative to check the credibility of articles be-fore it proves to be detrimental for the society. Multiple initiatives have been taken up by platforms like twitter and Facebook to check the spread of fake news omits platforms. Several researches have been undertaken utilizing machine learning (ML) and deep learning (DL) methodologies to address the problem of determining the re-liability of news. Traditional media solely employed textual content to spread in-formation. However, with the introduction of Web 2.0, fake images have become more readily circulated. The news piece, along with the graphic statistics, lends credibility to the material. The picture data is occasionally supplemented with the news pieces. For this research the prime focus is DL based solutions for text-based fake news detection. This research discusses about various techniques to automated detection of fake news. The paper gives a comparative analysis of various techniques that have been successful in this domain. Various datasets that have been used frequently are also highlighted. Despite various researches have been conduct-ed for tackling fake news, these approaches still lack is some areas like multilingual fake news, early detection and so on.

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 Keywords

Fake news detection; social nets; deep learning; Long-Short Term Memory (LSTM); text classification; words embedding technique

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 Abstract

Extracellular enzymes are involved in the fungal pathogenesis in plants. Currently, culture media, data analyses, and data report related to extracellular enzymes produced in vitro conditions are different and therefore, lack standardization. This work with the potato-dextrose-agar (PDA) medium combined with a specific compound to produce extracellular enzymes through pathogenic fungi (Alternaria alternata, Aspergillus flavus, Aspergillus niger, Colletotrichum gloeosporioides, Curvularialunata, Fusarium equiseti, Fusarium moniliforme, Fusarium oxysporum, Penicillium digitatum, and Rhizopus stolonifer), as well as to analyze and report enzyme data based on different criteria. The assay was randomized, with three factors (culture media, isolates, and enzymes). The studied enzymes were cellulase and pectinase. The normal media detected more enzymes and was more precise compared to the PDA medium plus specific compound. We suggest the normal media culture to study enzyme production, as well as the criteria mentioned to assess and report the data related to enzyme activities.

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 Keywords

Carica papaya, cellulase, occurrence, cellulose, substrate

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Two data science subfields with a lot of focus are big data analytics and deep learning. Big Data has grown in importance as a result of the large-scale collection of domain-specific data by both public and private entities, which can provide useful information regarding issues like national intelligence, cyber security, fraud detection, marketing, and medical informatics. Large data sets are being analysed by businesses like Google and Microsoft for business analysis and decisions that will affect both current and future technologies. Deep learning techniques extract high-level, complex abstractions as a means of data representation through a hierarchical learning process. Based on relatively simpler abstractions created in the previous level of the hierarchy, complex abstractions are learned at a given level. A key benefit of deep learning is its capacity to analyse and learn from massive amounts of unsupervised data.

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 Keywords

Big data ,deep learning ,database

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The soft candy which is available on the market are known with many health effects due to addition of improper preservatives added on to it. This study and the development of the product ensures that no chemical preservatives are added on to it and as well as ensures that this development of the product is highly nutritious and safe for consumption. The two mainly incorporated herb (giloy) and palm sugar in combination with tamarind which has been used for the development of the product compute to be an excellent source of nutrients and also adds up an additional flavoring to the product which compared to the other soft candies which is avail these days. The formulated soft candies were good in terms of nutritional composition like energy, carbohydrate, protein, fat, fiber, total sugars and vitamin-c. Finally, the product which has been developed outperforms the control completely in terms of nutritional aspects. Due to its nutritivevalue, this product is especially recommended for diabetic people.

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Tamarind, giloy, palm sugar.

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adolescents ,perceived parenting style, self-compassion, psychological flexibility

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Index Terms - Service-oriented architecture; web service; wsdl; xml; security; Framework.

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ABSTRACT: Baclofen is a centrally acting muscle relaxant. It relieves the spasm, cramping and tightness of muscles from multiple sclerosis, spinal cord injuries or other spinal cord diseases. In the present research work fast dissolving tablets of Baclofen were prepared by solid dispersion and direct compression methods. The concept of formulating fast dissolving tablets containing Baclofen offer a suitable and practical approach in serving the desired objective of faster disintegration and dissolution characteristic with increase bioavailability. Fast dissolving tablets of Baclofen were prepared by using various techniques like solid dispersion and direct compression. Prepared tablets were subjected to different evaluation parameters such as hardness, friability, weight variation, drug content uniformity, wetting time, water absorption ratio, in vitro disintegration time, in vitro dissolution studies and stability studies. Results revealed that all formulations have acceptable physical parameters.

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 Keywords

KEYWORDS: Fast dissolving tablet, Baclofen, Superdisintegrants , In vitro dissolution .

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 Abstract

Welding heat input is the most important factor in any fusion welding process which is basically an outcome of the combination of different process variables. It offers significant contribution towards the quality of weldment particularly in weld zone and heat affected zone. Manual Metal Arc Welding (MMAW) is the widely used welding process in the industries because of its low cost and versatile applications. The consumable electrodes with flux coating are used in this welding process which produces shielding gases to protect the weld zone from atmospheric contamination during welding. A lot of research work has been performed in order to investigate the effect of process parameters on the weldment of mild steel plates developed by MMAW process. In this study, an effort has been taken to understand the influence of welding heat input in weld zone and heat effected zone in butt joint of manual metal arc welded mild steel plates with a variation in process parameters.

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 Keywords

Heat input, Heat affected zone, MMAW, Mild Steel, Process Parameters, Weld zone.

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 Abstract

In the current scenario, the exploitation of oil and natural gas deposits on and offshore still represents the most significant global energy needs. For decades, offshore hydrocarbon resources have been explored and exploited among the traditional commercial uses of coastal continental shelter. However, this activity presents considerable potential threats to the marine environment. Surprisingly, a global multilateral environment does not govern the offshore gas and oil sectors, although public international and regional law rules are generally applicable. The maritime oil & gas industry is instead regulated primarily by national legislation. Besides, it is subject to a mostly independent sector, which traditionally uses its contractual solutions in a capital-intensive industry. ADDRESSING THE RISKS OF OFFSHORE OIL EXPLOITATION Recent accidents on offshore oil platforms have drawn attention to the ecological and human risks inherent to this industrial activity. In the current context of the current context of the continued development of deep and ultra-deep offshore drilling, which affects the integrity of oceans and seas as a common property, it therefore appears essential that those risks be addressed, and that progress be made towards the construction of an international legal framework. DIFFERENT INITIATIVES, DISAPOINTING OUTCOMES At the intergovernmental level, two legal and political processes have been initiated to advance pollution prevention and control: the Indonesian and Russian proposals are both based on the observation that international law falls well short of covering the cross-border dimensions of offshore oil exploitation when considering the increasing risks involved. It is indeed with caution that international law addresses the obligations of states, as sovereignty and jurisdiction issues often limit its scope and impacts. As for regional initiatives and conventions, they are often chronically absent or of very limited effectiveness. SUPPORTING A COMPREHENSIVE APPROACH The deficiencies of a highly fragmented international law therefore call for support to a comprehensive approach that aims to: counterbalance the power of oil companies and their professional organizations with an international legal framework that creates obligations; and establish a common set of obligations for states (and operators) covering the entire process of approval, monitoring, intervention, sanctions and liability regime. International institutions such as UNEP and IMO could take on this responsibility and promote the creation of a comprehensive convention on offshore oil exploitation.

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 Keywords

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