Volume 12 | Issue 1 |

 Abstract

Abstract The purpose of this study was to evaluate the level of life satisfaction among female teachers in Aurangabad City, Maharashtra. A total of 100 teachers between the ages of 25 to 45, residing in Aurangabad, Maharashtra, participated in this study. The data was collected using a simple random sampling method. The life satisfaction scale developed by Q.G. Alam and Ramji Shrivastava was utilized to assess the participants' life satisfaction. The study hypothesized that there would be a significant difference in the life satisfaction levels between female teachers in private and government schools in Aurangabad, Maharashtra. The findings of the study confirmed this hypothesis, indicating a significant difference in the life satisfaction levels between female teachers in government and private schools in Aurangabad, Maharashtra.

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 Keywords

Life satisfaction, Female school teachers

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 Abstract

The government of India publishes a biennial report called India state of forest report (ISFR). The ISFR report published in 2021 states unequivocally that the country has witnessed 345,989 forest fires between November 2020 and June 2021, an increase of 87,509 forest fires reported in the country during the same time in the year 2018-2019. This is the second-highest report of forest fire in the country. Similarly, there were 136,604 fire points in the country from January 1 to March 31, 2022. The ISFR (2021) Report further states that the total forest cover has gone up by 0.48% between 2013 and 2021 but the rate of forest fire also went up astronomically to the tune of 186% in the same period.A comprehensive study on forest fire reveals that out of the total 764districts in India; more than 30% of districts are susceptible to extreme forest fire, which also, are home to 275 million people. The states namely, Andhra Pradesh, Odisha, Maharashtra, Madhya Pradesh, Chhattisgarh, Uttarakhand, Telangana, and the north-eastern region (NER) states except Sikkim are prone to high-intensity forest fire. The Northeast cluster of forest has a maximum area of forest constituting 55% of all the four clusters in India but it accounts for only 16% of the burnt forest area. The central area, which constitutes 28% area of the forest cover but 56% of it, is burnt because of forest fires. In the Northeast, fires tend to concentrate in a smaller area that is subject to repeated burns whereas in Central and Southern India, they are more expansive.

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 Keywords

Forest fire, Climate Change,Intergovernmental Panel on Climate Change,forest fire hot spots,soil erosion,Xylem dysfunction,xylem conduits,The Forest Fire Prevention and Management Scheme.

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 Abstract

Psidium guineense is the most common shrub known world widely for its fruits and nutritional values present in it. It is distributed most commonly in South America and Brazil. Numerous chemical constituent can be isolated from this plant like steroid sitosterol, triterpene ursolic acid, 173- etoxiphaephorbide, 2-(4-hydroxyphenyl)ethyl hexanoate, kaempferol, rutin and quercetin which itself is been proven for its pharmacological activity. Based on the different studies carried out on mice and other animals; different extracts of this shrub is been proven for different pharmacological activity like antibacterial, anti-inflammatory, anti-fungal, antimicrobial and antioxidant effect. Using this effect we can find a curative solution for different type of disease like preventing cancer, regulating blood pressure, treating diarrhoea and much.

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 Keywords

Psidium guineense, Brazilian Guava, Antimicrobial, Anti-Inflammatory, Antioxidant, Myrtaceae

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The plant, which is a member of the Crataeguaceae family, is known by its scientific name, bryophyllum pinnatum. It was found that this plant showed various pharmacological activities such as anthelmentic, immunosuppressive, wound healing, hepatoprotective, antinociceptive, anti-inflammatory and antidiabetic, nephroprotective, antioxidant activity, antimicrobial activity, analgesic, anticonvulsant, neuropharmacological and antipyretic. The chemicals reported from the plant belong to different classes such as alkaloid, diterpenoidal lactones, glycosides, steroids, phenolics, aliphatic compounds, etc. The phytoconstituents and pharmacological activity of the therapeutic herb K. Pinnata are provided in this study, which may aid in the conduct of more complex qualitative research.

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Keyword-Kalanchoe pinnata, Phytoconstituent, Pharmacological activity.

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The current corona virus disease 2019 pandemic poses a serious danger to global public health. To evaluate its impact and guide control measures, we integrate the information on demographics, connection arrangements, illness austerity, health care accommodation and quality. Blooming community in low income nations may decrease the total risk, but insufficient healthcare capacity can have combined with more international interaction cancels this advantage. These moderation techniques that decrease but do not stop transmitting would nonetheless result in covid19 outbreaks promptly mind blogging immune systems, with significant excess fatalities in low income nations because to inadequate health care. Lower income countries have been more aggressive in their suppression efforts to date. This review provides an overview of the current state of all models for the detection and diagnosis of COVID-19 and processing based on some machine learning and deep learning techniques. According to observations, supervised machine learning techniques and deep learning techniques have an extraordinary capacity to provide accurate and efficient results for the detection and diagnosis of covid-19.

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 Keywords

COVID-19, machine learning,supervised machine learning, deep learning,

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A lot of power lies hidden within us, but it is unfortunate that many of us don't realize it. Although some people know about it, they never try to bring it out and use it in a beneficial way because they don't value it much. This article attempts to show, through a small experiment, how much-hidden potential we have that is being wasted, unused, and unrecognized. Through this article, we would also like to drive home our point that when we are able to use the magnitude of our energies in one particular direction, we can succeed in our endeavors.

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 Keywords

Motivation, Hidden Strength, Papers and Their power, Weak and strong

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As global life expectancies rise, the intersection of longevity and financial security becomes increasingly pertinent. This research delves into the multifaceted relationship between longevity and pension systems, aiming to understand their pivotal role in promoting retirement well-being. The study conducts a comprehensive analysis of existing pension structures, their strengths, and shortcomings, shedding light on the evolving landscape of retirement funding. The investigation extends beyond traditional approaches to consider innovative solutions for sustainable retirement funding. The need for adaptable pension systems is paramount in a rapidly changing economic environment characterized by demographic shifts and technological advancements. The research explores cutting-edge strategies, such as incorporating technology-driven investment platforms, exploring alternative investment instruments, and optimizing policy frameworks to ensure long-term financial security for retirees. Through quantitative analysis and qualitative insights, this research contributes to the ongoing discourse on the challenges and opportunities associated with the longevity-financial security nexus. By examining the intricate interplay between pension systems and the well-being of retirees, the study seeks to provide actionable recommendations for policymakers, financial institutions, and individuals to navigate the complexities of an aging population and foster sustainable retirement funding models.

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 Keywords

Exploring Innovative, Financial Security, Pension Systems

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Creative Commons Attribution 4.0 and The Open Definition

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Every country now has a serious issue with traffic regulation and vehicle ownership identification. Identifying the driver of a car that breaches traffic laws or goes too fast can be challenging at times. Due to the possibility that the traffic official may not be able to obtain the vehicle number from the moving car due to the speed of the vehicle, it is impossible to catch and penalize those types of offenders. Therefore, one of the solutions to this problem is to develop an automatic number plate recognition (ANPR) system. Today, a variety of ANPR systems are accessible. Despite the fact that these systems use various approaches, the work is still quite difficult because to things like the vehicle's rapid speed, non-uniform number plate, and language. The total rate of recognition can be significantly impacted by the quantity and type of lighting. Most systems function with these restrictions. In this work, various ANPR strategies are described while taking into account processing time, success rate, and image size as criteria. An ANPR expansion is proposed at the end of this work. Artificial Neural Network (ANN), Character Segmentation, and Automatic Number Plate Recognition (ANPR) image segmentation, optical character recognition, and license plate analysis.

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Automatic Number Plate Recognition (ANPR), Artificial Neural Network (ANN), Character Segmentation Image Segmentation, Number Plate, Optical Character Recognition

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Creative Commons Attribution 4.0 and The Open Definition

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Key words: Apiary, honey, hills, plains, western ghats, thiamine (B1), riboflavin (B2), niacin (B3), panthothenic acid (B5), pyridoxine (B6) and ascorbic acid (C), wild, Karnataka.

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 Abstract

The goal of "AI-Driven Talent Matching: Empowering HR Professionals with Reinforcement Learning" is to transform hiring practices by fostering a mutually beneficial partnership between employers and employees. When HR specialists thoroughly specify Job Descriptions (JDs) on the platform, the project gets underway. Meanwhile, job applicants upload their resumes, resulting in the establishment of profiles summarizing their credentials and experiences. After that, the system gathers essential data to create unique JDs for each seeker. The degree to which these customized JDs resemble the HR's JD is measured by a computed similarity score, guaranteeing a data-driven method of candidate assessment. Based on these scores, candidates are ranked, and Recruiters are then presented with top ranked candidates by applying a threshold. The incorporation of reinforcement learning will improve the recommendation model through learning from recruiter's feedback. Feedback in the form of "yes" or "no" from recruiter reviews of candidates enables the model to dynamically modify the similarity score threshold. This research explores the shifting dynamics of the labor market and makes the case for a datadriven strategy that would enable recruiters to make well-informed choices when hiring and selecting candidates. The process ends with a screening test to make sure applicants have the skills that are needed for the job. Better recruitment outcomes are promised by this cutting-edge approach, which will help both Recruiters and job seekers.

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 Keywords

Reinforcement Learning, Data-Driven, Job Descriptions, Recommendation Engine, Job Seekers

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