Volume 11 | Issue 12 |

 Abstract

The present mutation situation is complex in the study of the COVID-19 variant from the Covid family. The fractional epidemiological model is used to study the transmission rate dictating the propagation of infection between infected and susceptible populations using the suspectable-infected-recovered (SIR) model. Initially, data were taken as not prominent for the COVID-19 variants, and the rate of transmission was sufficiently concealed. Based on the numerical data, the outcome of the exponent system depends on the production of fractional power. Then, we make important predictions using the fractional SIR Model.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SIR Model, Jacobian, Basic Reproduction Number, Epidemic Disease.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian insurance industry has become more competitive since it was liberalized, and this improved industry now offers several new career prospects. With the entry of the multinational, things have changed. The need for competent labor is expected to rise as more companies enter the market. Economic growth requires a well-evolved insurance industry since it not only boosts risk-taking capacity but also offers long-term funding for infrastructure development. To succeed in this dynamic and ever-changing world, ambitious expansion goals alone are insufficient. Being the first to cross the finish line first and to keep going forward to fight and win new fights requires passion, fortitude, commitment, and above all, an unwavering vision.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Insurance, Schemes, LIC, Health, Risks

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The banking industry, seamlessly integrated with the financial systems of our lives, is critical to every productivity. For day-to-day operations, every sector of the economy requires financial resources. According to this view, banking institutions are essential for the global economic growth of many countries. It has contributed significantly to building the state's infrastructure, creating employment opportunities and stimulating the economy. Descriptive analysis is done using the ratio analysis for two banks considering the particular timeframe. And the results were interpreted.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

current ratio, financial statement, debt, equity, profit.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In order to excel academically, students must navigate the challenging landscape of performance evaluations, and this journey often brings forth heightened levels of anxiety. Recognizing the pervasive impact of examination stress on top-performing engineering students, this study delves into the effectiveness of diaphragmatic breathing techniques as a means to alleviate performance anxiety. In a 15-day intervention conducted in Pune, PCMC Area, fifty high-achieving engineering students engaged in daily diaphragmatic breathing exercises, emphasizing controlled inhalation and exhalation. The Westside Test Anxiety Scale served as the pre- and post-intervention assessment tool. Statistical analysis revealed a remarkable reduction in anxiety levels (p < 0.001), with the mean Westside Test Anxiety Scale score decreasing from 3.7 (SD = 0.6) to 2.9 (SD = 0.6). This focused exploration aims to shed light on diaphragmatic breathing's role as a cost-effective intervention for clinicians, providing a nuanced approach to enhance mental resilience and mitigate performance anxiety in academically driven individuals

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Performance Anxiety, Diaphragmatic Breathing, Top engineering students, Academic Performance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electricity is one the most essential needs for humans in the present. Conversion of solar energy into electricity not only improves generation of electricity but also reduces pollution due to fossil fuels. The output power of solar panel depends on solar irradiance, temperature and the load impedance. As the load impedance is depends on application, a dc-dc converter is used for improving the performance of solar panel. The solar irradiance and temperature are dynamic. Hence an online algorithm which dynamically computes the operating point of the solar panel is required. The efficient conversion of solar energy is possible with Maximum Power Point Tracking (MPPT) algorithm. There are various MPPT algorithms such as Perturb and Observe, Incremental Conductance etc. The various algorithms in MPPT and their topology is discussed in this paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PV Array,MPPT

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

rashtriya siksha niti 2020 aur gandhi ji k vichar

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

rashtriya siksha niti 2020 aur gandhi ji k vichar

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study is focused on understanding employee welfare facilities and satisfaction with respect to Rice Milling Industry of Ballari City. Statutory and Non-statutory welfare facilities aid in improving socio-economic conditions of the employees. Employee satisfaction towards welfare facilities influences attitude of the employees towards their employer and continuation of their employment with the employer. Hence, an effort is made to study the welfare facilities provided to employees and their satisfaction towards the facility. A structured questionnaire constituting open ended and Five Point Likert Scale was employed to collect the required data. A sample size of 60 employees of Rice Milling Industry employees were chosen using simple random sampling method. Percentage and chi-square methods were applied to analyze the data. The study helps us to understand the welfare facilities provided to Rice Milling Industry employees. The study shows that there is no significant association between satisfaction and gender of the employee.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: employee satisfaction, employment, welfare facilities, Rice Milling Industry,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tailoring is an occupation originally a part caste based occupation or occupational caste system in India , The population of Tailors among the Jajmani or Balutedari system in the past as well at present has constituting highest proportion among balutadari with as high as 61 percent. Very scant research is done in this segment, hence finds it appropriate to study and analyze the demography and sociographic profile of Household Tailors s in Kolhapur district. The description about will be helpful to know the conditions of Household Tailors with the due consideration the Social capital as source of Livelihood , and to assess and evaluate the its sustainability and vulnerability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Textile Value Chain ,Ready to Wear Garment, Household Tailors, Infrormal sector

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The doctrine of lis pendens, also known as the "doctrine of pending litigation," is a legal principle that deals with the effect of a pending lawsuit on a property or subject matter involved in the dispute. "Lis pendens" is a Latin term that translates to "a suit pending."The doctrine of lis pendens serves two main purposes:Notice to the World: It provides constructive notice to the world that a legal action is pending concerning a particular property or subject matter. This means that anyone dealing with the property or subject matter is deemed to have knowledge of the pending lawsuit and its potential outcome.Jurisdiction and Control: It prevents the parties involved in the lawsuit from transferring or disposing of the property or subject matter in dispute during the pendency of the litigation. This ensures that the court retains jurisdiction and control over the property until the dispute is resolved.The doctrine of lis pendens operates on the principle that it would be unjust and chaotic if the outcome of a lawsuit could be undermined or rendered meaningless by allowing the parties to freely transfer or dispose of the property or subject matter while the case is ongoing. By maintaining the status quo and preserving the court's jurisdiction, the doctrine aims to protect the rights and interests of the parties involved in the litigation.In practical terms, when a lawsuit is filed involving a particular property or subject matter, a notice of lis pendens is typically recorded in the public records where the property is located. This notice serves as a warning to potential buyers, lenders, or other interested parties that there is a pending lawsuit affecting the property. It helps ensure that any subsequent transactions involving the property are subject to the outcome of the litigation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Doctrine of lis pendens, litigation pending, principles of equity,immovable property .

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In agriculture, the integration of machine learning has been a long-standing aspiration, resulting in significant advancements. While machine learning models have been developed for crop and yield predictions, traditional algorithms like decision trees often fall short of delivering the desired accuracy. This paper introduces an accessible and user-friendly solution for crop recommendations and yield predictions. Users provide inputs such as temperature, humidity, soil pH, and rainfall. To enhance accuracy, a hybrid approach using K-nearest neighbor (KNN) and Random Forest (RF) algorithms is employed. The K-nearest neighbor (KNN) algorithm achieves an impressive accuracy rate of 98%. Additionally, the Random Forest (RF) algorithm attains a commendable 96% accuracy by aggregating multiple decision trees. These high accuracy rates signify the system's potential to empower farmers with data-driven insights for crop selection and yield projections. Furthermore, the user-friendly interface promises broader adoption within the agriculture sector, catering to users with varying levels of technical proficiency. To strengthen the system's credibility, transparency regarding data sources and quality is imperative. Utilizing accurate and relevant data for reliable predictions. In summary, this paper presents a promising solution for informed decision-making in agriculture, combining crop recommendations and yield predictions. Acknowledging the limitations of traditional approaches, it capitalizes on the strengths of K-nearest neighbor and Random Forest algorithms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop recommendation, Yield prediction, Machine learning, KNN, Random Forest

  License

Creative Commons Attribution 4.0 and The Open Definition