Volume 10 | Issue 12

 Abstract

The information technology industry has made significant advances into many facets of society, including its politics, business, and culture. The digital revolution has not only contributed to the enormous growth of human society but has also brought an unprecedented amount of attention to the challenges of maintaining network security. There are four main phases that researchers who focus on network security go through: network security best practises, complementary research and passive defence, proactive analysis and plan development, and a holistic perspective and forward-looking forecasting. Against the background of the new strategic command for the digital control, which all countries are competing for, new features arise in the debate over network security situational awareness, both in academic study and industrialisation. To that purpose, a thorough literature evaluation of situational awareness in network security was done for this study. In this paper, we lay out the national and international landscape of current research, and then provide the analytical framework necessary to place network security awareness within the context of the data value chain. Finally, some conclusions and recommendations are offered. The entirety of the procedure is broken down into five distinct steps that occur in sequential order: the factor acquisition stage, the model representation stage, the measurement establishment stage, the solution analysis stage, and the scenario prediction stage. Next, the function of each stage, the prevalent methods currently in use, the results of applying the methods to the

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ANALYTICAL SYSTEM FOR NETWORK SECURITY ON SITUATIONAL AWARENESS AND ITS COMPARISON OF IMPLEMENTATION METHODS

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The computable aspect of the physical world's reality can be expressed using mathematics, which is a powerful instrument. As biological systems develop and adapt to their environment, mathematical relations internalise themselves as an abstracting capability. Internal coding structures that represent their embedded description are found in all living systems. They are anticipatory in the sense that a deterministic model of their behaviour is created by the embedded description. If the model doesn't yield the desired outcome, they can develop by acquiring additional statements within the embedded description that get around the shortcomings of the current model. The freshly generated assertions gain significance as a result of and because of the environment's change. To better understand the biomedical data generated by high-throughput genomics and proteomics programmes, mathematical and computational models are being used more frequently. The use of sophisticated computer models that simulate complicated biological processes leads to the generation of hypotheses and recommendations for studies. properly integrating. Models are required for quick access to, and sharing of knowledge using data mining and knowledge discovery techniques when faced with biological databases

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Keywards :Mathematical Biology ,Computational Model ,Biological Code ,Relation Biology

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Hydrotherapy, water birth, Labour, birth in water

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Image processing, PCA, ANN, Extraction, Matching

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The purpose of this article is a reflection on the relationship between teacher and student in the classroom. Usually, this approach is always presented to us from the traditional theories of Scientific Management. And such an approach always presents the teacher as the leader of his students, and his students led by the teacher. It reproduces that view of the hierarchical power relationship and the use of coercion and argumentation to convince students to carry out the objectives and goals. Emerging in this teacher-student relationship the figure of the hero leader or the hero teacher. This article brings some reflections by Follet based on the text that she herself wrote in October 1928 on the teacher-student relationship based on theories of human relations in an approach to the idea of management developed by her.

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Teacher, Student, Leadership, Classroom Management, Follet.

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Key Words: SME IPOs, MSME, NSE, BSE, stock market, economic development

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The Recurrent Neural Network (RNN) deep learning algorithm, which mainly learns and predicts sequential and time series data, is mainly used in language modeling, stock price prediction, and chatbot. In this paper, we propose a movie prediction and recommendation method based on considering the movie consumption patterns of users. We measure similarity between users based on movie rating data, classify users with similar movie preferences, and identify the consumption patterns of each similar user group to improve prediction accuracy by taking into account the change in preferences over time. To show the effectiveness of the proposed method, we apply a collaborative filtering algorithm, a simple RNN, and our modified RNN and compare their prediction accuracies. Expressing reviews in the form of feelings or ratings on an item used or a movie watched is part of human habit. These reviews are easily available on various social networks. Based on the user's interest pattern, it is important to recommend items to the user. To this day, many recommendation systems are designed using several machine learning algorithms. The ever-increasing convergence speed, prediction accuracy, and appropriate optimization are obstacles for recommender systems that must be solved by hybrid algorithms. In this paper, we propose a system that uses Bidirectional Gated Recurrent Unit (BiGRU), the latest variant of Recursive Neural Network (RNN) in collaboration with Remora Optimization Algorithm (ROA).

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movie recommendation, user similarity, consumption pattern, sequence data, Recurrent Neural Network, BIGRU, ROA

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ABSTRACT Digital business consists of creating a business on the Internet, selling services or products online, without the need to invest in physical premises. A few examples of digital business are online courses, e-commerce, blogs, YouTube channels and technology solutions in general. The main advantage of this business model is that you don't have to invest a lot of money in the beginning compared to the offline market. Digital entrepreneurship is broadly defined as the creation of new businesses and the transformation of existing businesses through the development of new digital technologies. Many countries see digital business as a critical pillar of economic growth, job creation and innovation. YouTube is the second largest search engine in the world after Google. Ranked #3 on Alexa website rankings. It is basically a video sharing website where YouTubers upload videos and users watch them. YouTube shows ads on videos. Bill the advertiser based on the added impressions. YouTube shares advertising revenue with YouTube content creators. There are 4 billion video views every day. So there is a huge entrepreneurial opportunity to make money by creating video content for YouTube. There are many ways to generate revenue on YouTube. Some of these are the YouTube affiliate program, affiliate marketing, product promotion, and website traffic generation. To maximize your video revenue, you need to use these revenue generation methods carefully.

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YouTube, YouTube entrepreneur, Entrepreneurship, Affiliate marketing, Economic growth, unemployment, entrepreneurship, digital entrepreneurship, information and communication technology, digital enterprise, digital platform.

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Counterfeiting, Value, Social Media, Non-deceptive Counterfeiting, Trend.

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Back-to-Back system (BTB), capacitor voltage ripple, motor drive, modular multilevel converter (MMC), sub-module (SM).

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Human Development Index, Measures of Well-being, Gross Domestic Product.

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Sulfasalazine is anti-inflammatory drug that was used in Rheumatoid arthritis and Ulcerative colitis. Pharmaceutical impurities are existing along with drug substances. Hence it is mandatory requirement to do safety studies of each impurity. The present study was performed to evaluate the mutagenic potential of Sulfasalazine Impurity (2-hydroxy-5-[N-(4-{[4-pyridine-2-ylsulfamoyl) phenyl]sulfamoyl}phenyl)diazen-1-yl]) benzoic acid in the Bacterial Reverse Mutation Assay using five tester strains. In this experiment there was no significance results were reported to establish the impurity as Mutagenic nature.

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: Bacterial Reverse Mutation Assay, Reverent Colonies, Mutation, Toxicology, sulfasalazine, and (2-hydroxy-5-[N-(4-{[4-pyridine-2-ylsulfamoyl) phenyl]sulfamoyl}phenyl)diazen-1-yl]) benzoic acid.

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As network services become more widely utilized, security becomes one of the network's primary and most pressing challenges. Several computers connecting to the network serve critical roles in business and other applications that deliver network services. Consequently, we must look for the most effective measures to protect the system, even though several studies employ deep learning (DL)-based intrusion detection algorithms to identify infiltration. Changes in network traffic may result in reduced accuracy of deep learning-based models regarding network assaults. Deep learning has a plethora of strategies for network attacks. The primary goal of this work is to compare and assess the performance of deep learning algorithms on the 1-D data set. The suggested application uses the gated recurrent units(GRU)1-Dimensional Convolutional Neural Network(1-DCNN) hybrid model to identify network attack rates. The preprocessed dataset is trained and tested with the models to provide notable results that increase prediction accuracy. The experiment was conducted using the KDD99 dataset. The deep learning-based hybrid model could reach an accuracy of about 97 percent. On this standard dataset, the GRU-1DCNN model now outperforms the previous model.

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Network Traffic, Attacks, Deep Learning, GRU, 1DCNN, KDD99 dataset

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A complex condition known as chronic kidney disease (CKD) affects 13% of people worldwide. Renal failure and the progression to end-stage kidney disease as well as cardiovascular disease can be brought on over time by renal disorder. The speed at which the disease progresses and the risk of cardiovascular morbidities may both be accelerated by CKD complications. Early stages of CKD are asymptomatic, and symptoms only appear later on when the disease develops problems like declining kidney function and the presence of other concomitant conditions. Patients can only be treated with dialysis or a kidney transplant in advanced stages of the disease when kidney function has been severely compromised. The incidence of CKD is predicted to increase due to the disease's comorbidities, which are also increasing in prevalence along with the senior population. The present difficulties and unmet patient needs in CKD are discussed in this review.

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Renal Disorder, Chronic Kidney Disease, Kidney, Nephron, Urinary System, Dialysis, Kidney Transplant.

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British, Empire, Dutch, Impressive, Rebellion, Significant, Witnessed.

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Khelo India, sports, culture, positively influence

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Betel leaf (BL) plays an important role since ancient culture. Its use in India dates back to 400 BC. Importance of BL has been described in ancient books of Ayurveda. the quantitative determinati the calibration, validation and analysed data sets. These errors amounted Explored for their unique medicinal properties, the leaves of Piper betel , an evergreen perennial vine, are a reservoir of phenolics with antimutagenic, antitumor and antioxidant activities. Abutilon indicum is known as "Atibala" in Sanskrit. Literally "Ati" means very and "Bala" means powerful, referring to the properties of this plant as very powerful. Abutilon indicum is a hairy herb or under shrub distributed throughout the tropica. In traditional systems of medicine, various plant parts such as roots, leaves, flowers, bark, seeds, and stems have been used as antioxidant, demulcent, laxative, diuretic, analgesic, anti-inflammatory and antiulcer agents. The leaves are reported to be used by traditional practitioners in cases of inflammatory joint disorders as folklore remedy. The Abutilon genus of the Malvaceae family comprises of about 150 annual or perennial herbs, shrubs or even small trees widely distributed in the tropical and subtropical countries of America, Africa, Asia and Australial. It needs only heat and sun and grows even in dry and poor soils. It is quite common in India on road sides and waste places, growing usually after the rains and flowering during winter. In Poland, it is also cultivated for its ornamental value.

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Banana leaf, Betil leaf, Abutilon indicum.

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Saliva is a complex diagnostic fluid, which contains a variety of enzymes, hormones, antibodies, antimicrobial constituents and growth factors. In our body fluids like blood, saliva, tears, sweat and urine are crucial resources of pathological diagnosis. Changing in level of total cholesterol level in human female saliva was investigated in 60 women volunteers during various stages of reproduction (pre-pubertal, parous, non-parous, menopausal and diabetogenic). According to findings, level of total cholesterol level is significantly increased during ovulatory phase, which was due to hormonal metabolic changes in the period of menstrual cycle.

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Saliva, Total cholesterol, prepubertal, parous, non-parous, menopausal and Diabetogenic.

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Human Rights, Terrorism, Fundamental Rights, Counter-Terrorism, Legal Framework, Psychological oppression of Terrorism, Terrorism in India, Counter Terrorism measures of India, Public safety, Protection of Human Rights

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Abstract The Scheduled tribes, since ages, have been victims of socio-economic exploitation and have been relegated to low income generating occupations, inferior trades, unhealthy environment and unclean unskilled occupations. Although clear untouchable practices may be declining in many parts of the country, caste rigidities continue to confine many Schedule Tribe workers in demeaning occupations, which put them at a disadvantage when compared to other communities. The forces of urbanization, social and protective legislations, positive discrimination and other measures taken by the Government, have led to gradual improvement in occupational mobility and living standards over the years, but the living conditions of the majority of Scheduled Tribes continue to show socio-economic backwardness. The introduction of money economy has left them to the tender mercies of money-lenders leading to their chronic indebtedness. However, these broad generalisations may not be applicable to all the tribes of a vast country like India. Therefore, a study of the impact of institutional finance on the economic development of tribals at a micro level, confined to a district, seem to be most appropriate. The micro study can mark out areas of success as well as failure and also point out the deficiencies in the formulation of policy and in the implementation of the programme. The present study attempts to examine the distribution of borrowers of the tribals of the Visakhapatnam district in Andhra Pradesh.

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Adivasi, indebtedness, credit, borrowings, shifting cultivation.

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