Volume 12 | Issue 2 |

 Abstract

The current paper deals with mineral contents in the leaves of Aegle marmelos L affected by powdery mildew disease (Oidium spp.). The mineral analysis was carried out by Tri-acid digested sample, according to the method of Toth et al., (1948). The minerals such as Manganese, Iron, Copper, Zinc and Boron were estimated by Atomic Absorption Spectrophotometer (Thermo-Scientific - AAS - Chemito AA203 model). While elements Potassium, Calcium and Sodium were measured by Flame Photometer (Systronics 128 model) and Phosphorous was estimated by Sekine (1965) method. The element Manganese, Iron, Potassium, Sodium, Calcium, Phosphorous and Boron were found enhanced in the infected leaf tissue, whereas Zinc and Copper elements were reduced in the affected leaf, shows a great metabolic activity during pathogenesis.

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Aegle marmelos, AAS, Flame photometer, Oidium spp.

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For the past decades, cross- cultural crisis is a predominant theme delineated in most of the writings in literature. This has become a major arena for research in the writings of contemporary authors. Multi culturalism arises when the individual becomes congenial and feasible with another culture rather than his own. The depiction of these cultures is beautifully depicted by the Indian diaspora authors like Anita Desai, Salman Rushdie, Jhumpa Lahiri and many others. At this cross-cultural juncture, immigrant writers like Bharati Mukherjee has come up with specific perspectives. Being an immigrant, she was caught between the conflicting cultures in her own attempt to explore an identity of her own, which is best reflected in her novels. Migration, exile, displacement, identity, sense of belonging, isolation, and cross-cultural conflicts are some of the indispensable themes found in her writings. She accepts American culture comparing with Indian, as the laws and policies of her settlement has proven much favorable for her. In her works, the readers can find a beautiful blend and paradox of Indian and American culture. In this article, the element of cross cultural complexities is explored in her 1989 novel Jasmine. Bharati presents a beautiful epigraph in the beginning pages by James Gleick 'the new geometry mirrors a universe that is rough, not rounded, scabrous, not smooth. It is a geometry of the pitted, pocked and broken up, the twisted, tangled and intertwined.'(Jasmine) which embarks the journey of the protagonist, whose path is not smooth but rough encompassed with several impediments.

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Key words :cross-culture, immigrant, identity, laws and policies, epigraph

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Applications for nanoscale materials can be found in nanomedicine and nano-delivery systems, where they can be precisely targeted to specific areas and used as regulated carriers for pharmaceuticals and diagnostic equipment. Because nanotechnology makes it possible to precisely deliver medications in a targeted, site-specific manner, it provides various benefits in the treatment of chronic human diseases. Recently, chemotherapeutic medicines, biological agents, immunotherapeutic agents, and other noteworthy applications of nanomedicine have been used to treat a wide range of disorders. The application of nanoparticles as a drug delivery system (NDDS) holds considerable potential for the treatment of cancer. Because of several significant benefits, drug delivery systems (DDS) based on nanoparticles are more effective than conventional DDS. First of all, it can extend the half-lives of medications and proteins that are easily broken down. Second, it can increase the hydrophobic medications' solubility, which will increase their therapeutic efficacy. Finally, it makes it possible to precisely and carefully distribute medications at the precise location of the illness, providing individualized treatment plans.

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Nanomedicine, nanomaterials, controlled release, targeted distribution, drug delivery system, nanoparticle, cancer treatment

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Quality education of the learner depends on quality teachers and, an inclusive and fear-free environment. For quality, teachers we need quality in teacher education programs. National Education Policy 2020 is the third national education policy launched by the government of India on July 29, 2020. The new education policy framework aims to provide quality education to every learner as well as the whole country and to highlight India's education in a world-class context. The objective of the paper focuses on various challenges faced by teacher education programs that hinder the quality of education. The present study is qualitative in nature. Content analysis techniques are used to analyze various challenges faced by teacher education programs. The findings of the study revealed factors like lack of quality teacher training Institutes, upgrading curriculum and pedagogical approaches, ensuring quality in teacher recruitment and selection, bridging the gap between theory and practical exposure, embracing technological integration in teacher education, poor learning outcomes and teacher quality, etc. are the current challenges faced by teacher education programs. The new National Education Policy on Teacher Education will focus on enhancing the quality of teacher education and present the teacher education system in a world-class context by overcoming these challenges.

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NEP-2020, Quality Education, Education policy framework

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The HR Management System is a Python-based application designed for seamless HR processes. Its user-friendly interface ensures easy navigation. Key features include secure authentication, role-based access control, and integration with Firebase for data storage. The system accommodates various user roles like administrators, HR personnel, bosses, and employees, each with tailored functionalities. Modular design allows for future enhancements. Admins can manage credentials centrally via Firebase. Modules cater to HR tasks, employee records, and boss evaluations. Dynamic resizing of background images enhances the interface. The project aims to boost HR efficiency, reduce manual tasks, and enhance organizational productivity through digital transformation

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HR, HRMS, Firebase, Python

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Skin disease prediction and identification have long been difficult and crucial tasks for medical practitioners. Numerous clinics and skin care specialists charge outrageous prices for their services. The prevalence of skin conditions is widespread throughout our nation simultaneously. The majority of skincare professionals currently use time-consuming traditional methods to detect diseases, which may take a long period. Skin diseases have become important issues in recent years due to various environmental, socioeconomic, and dietary variables. This essay compares various skin illnesses regarding both cosmetics and common skin problems. A review of several publications is conducted based on the technologies employed, the accuracy of the results, the ethical behavior, the number of diseases identified, the datasets, etc.

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Artificial Intelligence, Deep Learning, Skin, Cosmetic, Diseases; Survey, Cosmetology, Intelligent System

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The coronavirus emergency has had both beneficial and negative impacts on the international economy. There has been seen a beneficial impact on the climate. It is noteworthy that the Indian Constitution did not originally include explicit provisions for environmental protection. Therefore, there is a need for a green economy after the Coronavirus crisis. Climate legislation has to be revised. To maintain the natural balance of the planet's ecosystem, the whole system must be carefully managed, including both the biological and non-environmental aspects. In an Indian context, the components of a town's biological system serve as a true paradigm for a holistic approach. In a town, the agricultural system, which involves both crop production and animal husbandry, depends on natural plant resources such as fields and forests. The modern era has compelled people to engage in afforestation and reforestation due to plants' ability to absorb carbon. There should be government equipment to evaluate the level of air pollution in various industrial areas globally and especially in busy streets. Green currency should be used on a large scale.

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Climate Change, Green Banking, Environmental Sustainability

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In the present advanced world, compelling reconnaissance and oddity identification frameworks are a higher priority than any time in recent memory. This article strolls you through the most common way of carrying out the YOLOv5 calculation for recognizing dubious movement in photographs and recordings. The accuracy and speed of YOLOv5, a state of the art continuous article recognizable proof model, have made it a famous choice for such applications. The main part of the instructional exercise goes over the essential libraries and conditions for this undertaking, which incorporate anything from information handling apparatuses to YOLOv5 execution libraries.

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Suspicious Activity, YOLOV5, Exploratory Data Analysis (EDA)

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The Student Counselling System through Artificial Intelligence (AI) is a cutting-edge platform designed to enhance student well-being, and career readiness. Leveraging advanced AI algorithms, the system provides personalized counselling, emotional support, and career guidance to students. A key feature of this system is its ability to generate comprehensive reports of counselling conversations, allowing both students and educators to track progress and identify areas of concern. The platform supports both voice and text input during counselling sessions, ensuring flexibility and accessibility for a diverse range of users. The role of Artificial Intelligence in human monitoring and recognition is taking advanced steps on every progress. This technology makes a greater impact on student's life in helping parents and teachers understand and realize their panic situations. This is achieved by monitoring facial expressions and human behavioral patterns. Utilize emotion recognition technology that can analyze facial expressions during the counselling session. Implement privacy protections to ensure that students' behavior and emotions in real-time, to evolving emotional states. If the system detects a student is sad or in stress during the counselling then it provides the suggestions to overcome the stress. The system also generates the report of the conversation held during the counselling session.

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voice and text input, video input, report generation, emotion detection,

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