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

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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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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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HPTLC, Extraction, Marker compound, Fingerprint

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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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Mizaj, Temperament, Unani System of Medicine, GTCH

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In the present study we are investigate the nutritional qualities of Soluble Proteins, Structural proteins,Carbohydrates, Ninhydrine positive substances and Lipids, of Heteropneustes fossilis. The investigation showed that the chemical composition is not the same in all fishes. It was also observed that the biochemical composition of fish depends mostly on size, age, sex, season, as well as breeding season. Gill , liver and intestine tissues contain more amount of Structural proteins and less amount of ninhydrin positive substances. Muscle tissue contain more amount of Structural proteins, less amount of carbohydrates. Brain tissue contain more amount of carbohydrates less amount of ninhydrin positive substances Lipids content was more in intestine. All biochemical parameters differ significantly (P<0.001) among the species under nvestigation. . The present work is a compendium of information on biomedical and pharmaceutical uses of fish processing wastes.

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Keywords: Heteropneustes fosilis, protein,Carbohydrates, lipid, liver, etc.

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One of the many types of crimes that exist in the technological age is cybercrime. Internet usage is rising quickly as more and more things become digital, and attackers are also exploiting it to perpetrate cybercrimes. Examples of invasions include hacking, banking fraud, email spamming, and others. In order to look into these fraudulent acts, the investigating authorities should use technology, which is a crucial component. In the domain of cyber forensics known as "digital forensic scrutiny," digital information that can be used as evidence in court is preserved and examined using scientific techniques and innovations. In order to reconstruct events, forensic investigators struggle with data collecting and analysis. Because people interact with one other quite a bit on a daily basis, machine learning enables investigators to use various algorithms to carry out investigations that are more successful and efficient.. This field of study focuses on developing computer models and algorithms that enable Every machine learning algorithm is domain-specific, capable of doing specialized tasks without the need for programming, like training and testing datasets, and can facilitate research. This study explores several machine learning approaches that look at and evaluate digital evidence while conducting an investigation. It also provides a complete overview of current digital forensics techniques and their applications. Furthermore, based on the features, this study assesses machine learning algorithms according to recognized digital forensics criteria.

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Digital Forensics, Cyber-attacks, Forensic Science, Security, Machine Learning algorithm, Digital Evidence.

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Abstract Integrating Information and Communication Technology (ICT) into numerous academic subjects has become a priority for educational institutions globally as technology continues to revolutionize the educational landscape. With a specific focus on their function in equipping teachers to successfully incorporate ICT into Religious and Moral Education (RME), this systematic study explores the relationship between teacher preparation programs and digital competency. The review starts out by giving a general overview of the constantly changing field of ICT in education and stressing both its advantages and disadvantages in relation to RME With a focus on teacher training programs, the study explores how these programs have adapted to accommodate the changing educational environment and the role they play in fostering digital competence among educators. Methodologically, this systematic review employs a rigorous search strategy, including an extensive examination of academic databases and relevant literature, to identify key themes, trends, and best practices. A comprehensive analysis of the selected studies is conducted, focusing on various aspects such as the content of teacher training programs, the impact of digital competence on teaching effectiveness, and the perceptions of educators and students regarding the integration of ICT in RME. The systematic review's conclusions emphasize how crucial it is for educators to have well-crafted teacher preparation programs in order to give them the abilities and information needed to successfully incorporate ICT into RME. These findings also shed light on the evolving nature of digital competence and its multifaceted implications for pedagogy in this specific context. Additionally, the review emphasizes the significance of understanding and addressing potential challenges and concerns related to ICT integration in RME. By synthesizing existing research, this study provides valuable insights for educators, policymakers, and educational institutions aiming to enhance the quality of RME through practical teacher training in the digital age. It also suggests directions for future research and presents recommendations for the development of more comprehensive and tailored teacher training programs to support educators in this evolving educational landscape.

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Teacher Training, Digital Competence, ICT Integration, Religious Education

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Abstract The vulnerability of India towards multiple disasters is well known. Every year numerous catastrophes nudge the nation and with changing climatic conditions the frequency and intensity of these events are increasing. India had been responding to disasters for many years and had been assisting cross boundary response also. The destruction from a tropical cyclone depends mainly on its intensity, its size, and its location. The main effects of tropical cyclone include heavy rain, strong wind, and large storm surges at landfall. Destruction caused by Cyclones. A Storm surge can be defined as an abnormal rise of sea level near the coast caused by a severe tropical cyclone; as a result of which sea water inundates low lying areas of coastal regions drowning human beings and life stock, causes eroding beaches and embankments, destroys vegetation and leads to reduction of soil fertility. This paper presents the details of the Cyclone Vardah and destruction caused by Cyclones affected areas on the north coastal areas of Chennai, Tiruvallur and Kancheepuram districts.

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Cyclone Vardah, Vulnerability Hazards, Heavy Rain, Strong Wind, Storm Surges

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The welfare measure is "An effort to make life worth living for workmen". It's motivating women employee to a great extend which leads to organizational growth. It's a major factor which affects the employee morale. The main objective of the study is to measure the effect of welfare measure on morale, level of satisfaction of employee regarding working condition and general attitude of employee towards the organization. Certain welfare measures provided by the company like medical facility, medical camp, education scheme, transportation facility, medical assistance. This was a descriptive research study. Nearly 100 samples were collected using Correlation co efficient and Chi square. Appropriate tools were used to analysis the data. From the study it is inferred that most of the employee were satisfied with the welfare measures provided by the company.

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WOMEN WELFARE, SAFETY, SATISFACTION.

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National Education Policy 2020 and Corona Pandemic pose a great challenge to the professionals of all professions; teaching is perhaps the most complex and the most difficult to practice. It is the only profession that nurtures human skills and capacities which help societies to thrive. Students in India have historically focused on preparing for exams till now. A system involving years of traditional learning by rote, full of notes writing and narrow adherence to a syllabus. The proposed NEP 2020, which emphasizes problem solving and critical thinking skills, will help the next generation of India 'prepare for life' and ready to navigate uncertain futures. For teaching professionals across India, the reality brought by the Covid-19 crisis has tested their ability to adapt and innovate. It is a challenge our teachers will have overcome with dedication, moving with agility to remotely teach students online. With NEP 2020 teachers will have an opportunity to nurture this very same value of adaptability and innovation in their classrooms. A key focus area Of NEP 2020 is transforming the 'quality of teaching' where teachers will be empowered to lead change.

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NEP, pandemic, professionalism, challenges

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The inland routes throughout the time they cover are extensively discussed in the Jatakas. An significant factor in the development of culture is geography. A nation's trading routes are also influenced by its geographic location. Naturally, routes over mountains and deserts are exceedingly challenging, but the same routes through wide-open valleys, rivers, and open plains become simpler. The Jatakas describe a variety of roads, though it might be challenging to tell them apart. This quest for a natural route must have lasted for aeons, and over time, a network of trade routes spread over the entire nation. Jatakas provided numerous references, such as inland trade routes, which were crucial and played an important role in the economic growth of Buddhism .

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Trade Routes, Jatakas, Inland, Buddhism.

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The present work involves Development and assessment of Facial scrub using natural ingredients. Cosmetic products available in the market, natural and herbal cosmetics are easy, safe, and effective to use. One of the main reasons herbal products are used is that they can be used for all skin types. The main purposes of herbal products are to promote good health and treat severe skin diseases. The present study attempted to prepare a polyherbal scrub. The formulated scrub was assessed using various parameters. The facial scrub was developed using Turmeric Powder, Honey, Amla, licorice, agar, and rose water at the lab-scale method. The formulated scrub was assessed for appearance, pH, consistency, extrudability, irritability, Spreadability, washability, grittiness, viscosity, and formability.

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Polyherbal, Cosmeceutical, Stability, Herbal product

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Abstract - The goal of this study is to close the gap between theory and real-world application by focusing on neuromorphic computing architectures for artificial intelligence (Al). This study underlines the critical role of AI in influencing the future of computational architecture for AI systems by evaluating AI integration, optimizing computational systems, and investigating real-world applications. Artificial intelligence (AI) has seen remarkable progress in recent years, with the rapid advancement of neural networks and machine learning algorithms. However, the computational demands of AI tasks often exceed the capabilities of conventional digital computing architectures. Neuromorphic computing, inspired by the human brain's architecture and functioning, has emerged as a promising alternative to bridge this computational gap. This research paper presents a comprehensive review and analysis of neuromorphic computing architectures for AI applications. The paper begins by providing an overview of the fundamental principles of neuromorphic computing, highlighting its biological inspiration, such as spiking neural networks, and its efficient utilization of analog and event-based processing. The advantages and limitations of neuromorphic systems are discussed in comparison to traditional von Neumann computing architectures, emphasizing their potential for low-power, real-time, and brain-like computation. The paper delves into case studies and practical applications of neuromorphic computing in AI, including computer vision, natural language processing, robotics, and edge computing. It explores how neuromorphic hardware accelerators, such as IBM's TrueNorth and Intel's Loihi, have demonstrated significant gains in energy efficiency and performance for AI tasks. Moreover, the research paper examines the challenges and future prospects of neuromorphic computing, including scalability, programming models, and integration with existing AI frameworks. The potential impact of neuromorphic architectures on the development of intelligent systems is highlighted, emphasizing their potential to unlock new frontiers in AI research and applications. In conclusion, this paper underscores the growing significance of neuromorphic computing architectures in the field of artificial intelligence. It highlights the promising results achieved by combining brain-inspired hardware with AI algorithms and emphasizes the need for further research and development to harness the full potential of neuromorphic computing in enabling more efficient, versatile, and brain-like artificial intelligence systems.

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Neuromorphic Computing, Artificial Intelligence, Computational Architecture, AI Integration, Practical Applications, Optimization

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This study was conducted to find the leadership qualities of B.Ed Student Teachers. The main aim of this study is to find the significant difference between male and female student teachers in their Leadership qualities. Also to find the significant difference between the leadership qualities of student teachers from joint family and Nuclear family. The investigator adopted descriptive survey method. This study was conducted with 231 B.Ed student teachers of Tiruppur district. Simple random sampling technique was used to select the sample. Findings show that there exists no significant difference between male and female student teachers in their Leadership qualities. Also there exists no significant difference between joint family and nuclear family student teachers in their Leadership qualities.

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Leadership qualities, Leadership styles, Student teachers, B.Ed students.

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