Volume 11 | Issue 10 |

 Abstract

Fungi are cosmopolitan in distribution and occur in any habitat where life is possible.Aeromycoflora which is refers to the airborne fungal spores in the atmosphere.A large number of aeromycoflora were found in indoor and also outdoor environment .The indoor environment is much more important as a major part of the day is spent indoor.The indoor fungi are not only responsible for causing disease but also responsible for the spoilage of food,clothes,books etc.Indoor environments play important roles in human health.The health hazards posed by polluted indoor environment.The primary objective of this study was to identify the aeromycoflora,their concentration and diversity in the indoor environment. Present investigation focuses on aeromycoflora survey of government college building of Sonakhan, dist.Balodabazar-Bhatapara( C.G.).Study carried out between June and October 2023.The indoor aeromycoflora species was represented by Aspergillus,Penicillium,Rhizopus,Cladosporium,and Alternaria.

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 Keywords

Cosmoplitan,aeromycoflora,sonakhan, Aspergillus.

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This study presents a novel approach utilizing deep learning techniques to develop an automated system for the detection of automotive damage and subsequent prediction of repair costs. The system comprises two primary components, namely a model for detecting damage and a model for predicting prices. The damage identification model utilizes a convolutional neural network architecture, specifically VGG16 and Resnet50, which have been trained to accurately classify and recognize various forms of damage present in car photos. The price prediction model utilized in this study is an XGBoost model, which has been trained to forecast the market value of a car by considering its condition as a key factor. The evaluation of the system was conducted using a dataset comprising more than 10,000 photographs of vehicles. The findings illustrate the capacity of deep learning techniques in automating the detection of automotive damage and predicting its associated pricing. The system under consideration has the potential to optimize the efficiency of insurance claim processing, used automobile appraisal, and maintenance planning procedures.

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 Keywords

Car damage detection, price prediction, deep learning, convolutional neural networks, VGG16, Resnet50,XGBoost.

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Brazil is the largest and most populated Latin American Country. Brazil has undergone three centuries of Portuguese rule and became independent in the year 1822 with a monarchical system till 1889. A republican form of government came into existence in place of a Monarchical form of government. The country has witnessed many forms of government that include state autonomy and centralization, authoritarianism to democracy and a military coup. The Constitution of 1946 was amended several times through institutional acts which tried to eliminate the democratic character. During the 1970s when authoritarian rule was at its maximum Brazilians to a large extent accepted the existing situation. The elections of 1985 in Brazil were a milestone event for the civilian President to take over in the process of the democratic transition that had begun a decade earlier when President Ernesto Geisel began to relax the repressive measures on which the authoritarian government had relied before. The political liberalization process through the political mobilization that was taking in the past nine years starting from 1974 to 1983 significantly changed towards the end of 1983. Democracy has made significant contributions to development in Brazil in many ways. The most significant achievements of democracy in Brazil can be considered Political stability, social inclusion, economic development, transparency and accountability, rule of law and most importantly uplifting the field of education. Women's rights have got their place, a constitution with a certain stability, scientific and technological development and improved foreign relations were a few more contributions of Democracy to Development in Brazil.

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 Keywords

Democracy, Development, liberalization, globalisation

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The phrase "Exploratory Data Analysis" combines two distinct methods that are found in the broad field of data science. In our case, that data is Netflix Data, an Open-Source Data Set that was acquired from Kaggle. After combining two additional sets, Geographic Latitudes & Longitudes and Netflix Title Critics/Reviews Data Set, the data was wrangled and exercised to derive maximum insights using EDA - Exploratory Data Analysis. The Python Library of Versatile Packages contains a variety of utility analytical tools that are used in the project. This work presents the methodical and perceptive application of techniques for Exploratory Data Analysis through the use of the relevant packages.

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Exploratory Data Analysis; Data Analytics; Python;Matplotlib;Pandas; Seaborn; Numpy; Tensorflow - Keras

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Vati is a commonly used traditional medicinal formulation in Ayurveda, an ancient system of medicine that has been practiced for thousands of years in India. Vatis are herbal pills or tablets prepared using a combination of herbs, minerals, and other natural ingredients, and they play a crucial role in Ayurvedic therapeutics. However, the lack of standardized manufacturing processes and quality control measures has led to significant variations in the composition and efficacy of Vati products available in the market. These abstract highlights the importance of standardization in the production of Vati and outlines the key aspects of this standardization process. Standardization involves defining and maintaining consistent quality and efficacy parameters for Vati formulations to ensure their safety and effectiveness.

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 Keywords

Standardization, Vati, Ayurveda, marker compound

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Quest for identity is a recurrent theme in literature. It delves into the complexities of self-discovery, personal fulfillment, and the journey to define one's individuality in the context of societal, cultural, and personal influences. This quest is often portrayed in various forms in literary works and extends to the exploration of identity in psychology and philosophy. The quest for identity among African women has been a profound and complex theme in literature, reflecting the multifaceted challenges, experiences, and aspirations of women across the African continent. African women's literature often addresses the intersectionality of identities, considering factors such as race, ethnicity, class, and gender. Flora Nwapa, a pioneering Nigerian writer and one of the prominent figures in African literature, often explored the quest for identity among women in her works. Through her novels, including Efuru, Idu, One is Enough, Women are Different, and Never Again Nwapa presented a nuanced and empowering portrayal of female characters as they navigated societal expectations, gender roles, and their own aspirations.

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 Keywords

Identity, Culture, Self-Discovery, Individuality, Cultural influences, Societal Influences etc.

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 Abstract

The political landscape of India, with its multifaceted layers of caste, class, and regional identities, has perennially attracted scholarly attention. A critical segment of this vast and diverse demography is the Other Backward Classes (OBCs), an assemblage of socio-economic groups that have been historically marginalized yet remain influential in the electoral politics of the nation. This study, titled "Political Mobilization and Leadership of OBCs in North Telangana Districts: An Analysis, seeks to unearth these insights by concentrating on those at the helm of political power: the elected representatives and Non-Elected Representatives delves into the intricacies of this subject. Through this study, the objective is to unravel the layers of OBC political mobilization and leadership in North Telangana and shed light on the significant yet nuanced roles played by non-elected representatives and elected representatives

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 Keywords

Other Backward Classes, Marginalised, Political Mobilisation, Political Leadership.

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This aim of this paper is to understand, develop and enhance the adoption of Internet banking services by comparing two banks one is private bank (ICICI) and other is public bank (SBI) in India.The primary data was collected from 200 respondents through well structured questionnaire of I-banking customers of SBI and ICICI bank from public and private sector. Statistical analysis, descriptive, factor and logistic regression analysis were used to know the trend of service delivery in public and private bank.The findings depicts that expectation of service quality are very high. ICICI bank was perceived significantly better e-services portfolio in comparison to SBI bank. Majority of customers are willing to adopt I-banking services in private sector bank. The security concern and lack of adequate technological knowledge are two main obstacles to use the system of I-banking services. There are a great number of Indian customers, who have not internet banking account at present. So the potential for Internet banking in India is very high for the future. This study identifies number of strategy which bank manager could adopt.

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E-Banking, Security, Service quality, Retail banking

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The current work aimed to create a High-Performance thin layer chromatography (HPTLC) fingerprint profile of Lantana camara linn extracts with marker compound (Lantana camara linn oil). For the purpose of separating the components from the various extracts, chromatographic techniques were applied. An HPTLC fingerprint profile of extracts in several solvents including methanol, chloroform, acetone, and Pet. Ether was intended to be developed in this work The utilization of an automated TLC (Thin-Layer Chromatography) applicator with a solvent mixture comprising Acetic acid: toluene: Ethyl acetate: Methanol (0.5:8:2:0.5 v/v/v/v) was employed for the separation of compounds in the extracts. TLC analysis was conducted on silica gel-coated aluminum plates from Merck. Furthermore, an HPTLC (High-Performance Thin-Layer Chromatography) methodology has been developed for the separation of active components within these extracts. This HPTLC method is suitable for both qualitative and quantitative analysis and can be effectively employed for the standardization of plant extracts. It can be used for routine quality checks of current species.

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 Keywords

HPTLC, Extraction, Marker compound, Fingerprint

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 Abstract

The foundation of the Unani System of Medicine is depending on the concept of Mizaj (Temperament). The theory of mizaj, originally introduced by the father of medicine, Hippocrates (Buqrat) and further developed by Jalinoos (Galen) and Ibne Sina (Avicenna), has been subject to interpretation by numerous scholars throughout its history. The Mizaj (temperament) is a concept used by physicians to assess how the body or its organs deviate from normal homeostasis, considering factors like the patient's population, race and species. There's no single universal temperament for assessing an individual's health and what's optimal varies with geographical location. In modern terms, this aligns with the roles of natural balance and environment in individual adaptation through homeostasis and the role of evolution in population adaptation to maintain homeostasis. Mizaj reflects equilibrium among the four fundamental qualities: heat, coldness, moistness, and dryness, unique to each person. The concept of mizaj is crucial in Unani System of Medicine, serving as the foundation for diagnosis and treatment.

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 Keywords

Mizaj, Temperament, Unani System of Medicine, GTCH

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Creative Commons Attribution 4.0 and The Open Definition