Volume 10 | Issue 12 |

 Abstract

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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 Keywords

: 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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 Abstract

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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 Keywords

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

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 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Khelo India, sports, culture, positively influence

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 Abstract

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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 Keywords

Banana leaf, Betil leaf, Abutilon indicum.

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 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

Adivasi, indebtedness, credit, borrowings, shifting cultivation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The perfect, accurate and robust detection of the audio has been widely grown as the speech technology in the area of audio researches, audio forensics, speech recognition, and so on. However, in real time, it is a challenge to deal with the massive data arriving from distributed sources. Thus, the study introduces a method that effectively deals with the data from the different sources using the audio classification method. This method uses anywhere for our general purpose projects, Voice services are rapidly gaining popularity, with the use of virtual assistants such as Siri, Alexa, and Google Assistant becoming increasingly common. These systems rely on audio classification to understand and respond to user requests. Audio classification is the process of using machine learning algorithms to classify audio data into different categories or classes. This is a crucial component of voice services, as it allows the system to understand and interpret the user's spoken words

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 Keywords

Audio classification, Voice-based services, Voice recognition, Speaker identification, Natural language processing, Speech recognition, Language translation, Machine learning, Artificial intelligence, Human-computer interaction

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Creative Commons Attribution 4.0 and The Open Definition