Volume 10 | Issue 1 |

 Abstract

Atmospheric physics is a branch of meteorology and physics that studies the physical processes governing the Earth's atmosphere. It plays a crucial role in understanding weather patterns, climate systems, and environmental changes. This paper explores the fundamental principles of atmospheric physics, including thermodynamics, radiation, fluid dynamics, and cloud microphysics, and highlights recent advancements in the field. The role of atmospheric physics in modeling and predicting climate change, as well as its importance for policy and environmental management, is also discussed.

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A Review of Atmospheric Physics: Fundamental Concepts and Current Research

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Indian society is patriarchal and hierarchical, with men considered as superiors and women as second-class citizens in both the public and private spheres. A patriarchal social and ideological system places men above women in terms of decision-making and resource management. It creates inequalities and hierarchies that harm families, communities, and women in particular. The birth of a girl child is not as celebrated by society as it should be since traditional thinking sees the male child as the only one who bears responsibility for the family. As a result, there is an imbalance in the sex ratio or a decline in the child sex ratio in India due to an increase in female foeticide, infanticide, and other types of homicide. Additionally, there is a lack of understanding of the significance of girls' education. One of the causes is that there is a dearth of knowledge on girls' education as a result of society's representation of women's roles as good wives and mothers of male offspring.Thus, an attempt has been made in this article to analyze the Central government's "Beti Bachao Beti Padhao" initiative. This scheme has been introduced by the government to achieve a balanced sex ratio and an enhanced rate of literacy among Indian girls

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 Keywords

education, violence against women, sex ratio

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Disaster management platforms like emergency services offer important information to help respond to disasters. Machine learning could help identify this information. Using social media data for emergency response has challenges like reliability, performance measurement, deception, attention focus, and turning observations into usable information. During the Haiti earthquake, many technical volunteers tried to help by sending mapping and translation services via text messages. However, the systems couldn't handle the high volume of information. Despite good intentions, organizations weren't prepared to handle data from outside their networks. They lacked technical staff and tools to use the data effectively. To solve this, we propose using a domain adaptation approach, which learns from available data with labels. Our approach uses the Linear SVC Algorithm with Self-Training. Experimental results show that our method can identify emergency messages relevant to disasters.

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ANALYZING NATURAL DISASTER INTENSITY WITH MACHINE LEARNING AND AI

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A notable piece of Marathi Dalit literature, Baby Kamble's autobiography The Prisons We Broke exposes the multidimensional oppression that Dalit women endure. By analyzing Kamble's autobiography and concentrating on themes of insults, structural exclusion, and persistence, the piece contributes to the conversation on gender and caste oppression and highlights the need to take an intersectional approach to social justice.

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Dalit Autobiography, Dalit Women, Caste Oppression, Gender Discrimination, Social Justice.

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Temperature is one of the main factors that affects the growth pattern of Gerbera hybrida, which shows vast variation in morphology and stress adaptation among cultivars. However, little is known about temperature responses of plant growth among different cultivars. In this study, four cultivars were planted in different growth temperatures to investigate the effect of temperature on plant growth of Gerbera hybrida during their vegetative growth. Results showed that the optimum growth temperature of the four cultivars was 20 8C, of which plant height, root length, biomass accumulation, leaf area, and photosynthetic rate were enhanced significantly. Different cultivars showed diverse temperature adaptation ranges, which were related with their genetic background, and the temperature adaptability of cultivar Autumn was the best among the four cultivars. Temperature also had significant effects on photosynthetic rate, which was the main factor shaping plant growth. Our research provides the basic guidance for the growth temperature control in the cultivation of Gerbera hybrida.

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Environment, Photosynthesis, Gerbera

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Creative Commons Attribution 4.0 and The Open Definition

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In the contemporary period of globalization and liberalization, a revolutionary approach has been welcomed in our nation with the goal of giving the female population more prominence. Due to the ongoing rise in living expenses, it is now crucial for women to participate in the economy in order to support their families. They have demonstrated their abilities not only in a variety of work roles, but also by bravely encroaching on the taboo world of entrepreneurship. In order to achieve financial independence and forge a strong position for themselves in society, women have been behaving like true entrepreneurs, taking risks, managing resources, and accepting challenges.

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Women entrepreneurs, Financial Assistance, Financial Independence

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Pd(II) - Ranitidine complex, Direct current polarography, Deford and Hume's method, Thermodynamic parameter

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This study conducts a comprehensive comparative analysis of the cost of management (CoM) across State Cooperative Banks (SCBs) in India for the fiscal year 2018-2019. Utilising secondary data from the National Federation of State Cooperative Banks Ltd. (NAFSCOB) and the Department of Cooperation, Government of India, the study aims to identify variations in CoM among different states and explore the impact of these costs on the efficiency and profitability of SCBs. The analysis includes descriptive statistics, correlation analysis, and detailed rankings based on total CoM, CoM per employee, and the percentage of CoM to working capital. Key findings indicate significant variability in CoM, with Haryana, Telangana, and Tripura having the highest costs, while Arunachal Pradesh, Nagaland, and Manipur exhibit the lowest. A strong positive correlation between CoM and profitability suggests that higher management costs can be associated with better financial performance. Recommendations for optimizing cost management include implementing cost control measures, adopting best practices from efficient states, leveraging technology, and receiving regulatory support. The study concludes that effective cost management is crucial for the sustainability and growth of SCBs, with future research needed on longitudinal trends and the impact of technological advancements.

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 Keywords

State Cooperative Banks, Cost of Management, Efficiency, Profitability, Cost Control

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Artificial intelligence has made a substantial impact on the banking and financial sector, and this impact is most evident in the way individuals and institutions save, move, and manage their money. It is improving and adding efficiency to banking services by giving these services a personalized touch. AI solution providers are continuously creating algorithms that allow financial institutions to analyze their customer data and offer services that are tailor-fit to each individual customer [1]. Whether the financial institution is a private bank, wealth management firm, or a retail bank, the objective of these AI-driven platforms and tools is to provide guidance and services for their clients that mimic those of a human advisor. These tools learn from historical data on client behavior, preferences, and engagement to offer financial advice that is relevant, timely, and personalized. AI is making it cost-effective to offer small-sized or younger client segments access to financial advice that has traditionally only been available to wealthier clients using in-person engagements. The client can have access to a one-to-one financial advisor and step-by-step instructions based on their personal saving and investment situation that can be monitored if there are any changes. The debt repayment advice can evaluate the interest rates and terms of the borrower's loans whether the rate of return of the investment is higher or not, can determine the cost of tax and the future investment opportunities in light of which the advice is sensible [1]. Ai is a very powerful tool in monitoring the customer and their financial goals. This solution can be used to compare the clients investments against the optimal portfolio allocation and also notify clients about any suggested actions that need to be taken within the limits of their tax implications or any law changes that affect these clients. Wealth management is currently experiencing an AI-driven boom and will continue being used to develop many more AI service applications in banking.

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AI methods, personalized banking, finance, transactions, customers, financial flow, banking services, blockchain, cryptocurrency, Bitcoin

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Costus igneus, commonly known as insulin plant, has been traditionally reported for its anti-diabetic, anti-oxidantant, anti- inflammatory, anti-proliferative, anti-urolithiasis, hypolipidemic, neuroprotective and anti- microbial activity. This review is all about anatomical and morphological investigations of Costus igneus, including its medicinal use. Secondary metabolites of this plant such as b-sitostirol, corosolic acid, diosgenin, quercetin, catechine, oleic acid show mainly anti-diabetic activity. At present finding, Costus igneus have characteristic morphological, anatomical, and proximate features that could be used to differentiate it from other members of the Costaceae family. This review article collected information using the following searching engines such as Pub Med, Science Direct and Google Scholar, etc., and mainly focused on English written documents. The present review article attempts to explore various medicinal properties of Costus igneus (insulin plant) and mode of action of all major phytoconstituents as anti-diabetic activity for advanced research purposes and its suitable formulations development in the future for the welfare of mankind.

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 Keywords

Insulin Plant, Diabetes mellitus, Costus igneus

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Creative Commons Attribution 4.0 and The Open Definition