Volume 12 | Issue 10 |

 Abstract

This article is concerned with fixed point theorems and their use in solving differential equations of nth order. In this work, we introduce fixed-point theory as a tool for studying stability theory for ordinary and functional differential equations. The challenges with Liapunov's direct approach to stability analysis inspired this article. It also takes several cases into account. Several previous findings in the literature are extended and generalized by our work. Picard's theorem, fixed points, Lipschitz maps, and nonlinear operators are some examples of what we mean by "keywords.".

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 Keywords

Fixed point, Banach fixed-point theorem, System of linear equations, Fredholm integral equation.

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 Abstract

India is a developing country. Since the early 1990 S Indian's growing economy has witnessed a rise in demand for transport infrastructure and service. Due to population growth and emerge economic in developing countries, the rapid development of technology makes cities more attractive and thereby increase the growth of urbanization.

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 Keywords

Transportation, traffic, economy.

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Abstract Juvenile delinquency remains a pressing concern for societies across the globe. Among various factors contributing to delinquent behaviours, family structure plays a pivotal role. This article explores the relationship between family structural dynamics--including single-parent households, family cohesion, socioeconomic factors, and parenting styles--and their influence on juvenile delinquency. By examining current research, we analyze how disruptions in family settings contribute to the development of antisocial behaviours, and how interventions can mitigate these influences.

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 Keywords

Juvenile delinquency,family structure,single-parent,family cohesion,antisocial behaviours

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Understanding the essence of green consumption behaviour is pivotal for promoting sustainable practices in society. Through the lens of the Theory of Planned Behaviour (TPB), this study aims to delve into the determinants of green consumption behaviour by examining the key determinants of actual behaviour. The theoretical framework conceived for the study was tested using primary data. Partial least squares method and structural equation modelling were employed to analyse the data. The analysis confirms significant relationships between key TPB constructs and green consumption behaviour. Perceived benefits enhance positive attitudes toward green products, while perceived risks negatively impact these attitudes. Normative beliefs and moral obligations significantly influence subjective norms. Both control forces and control beliefs enhance perceived behavioural control. Notably, perceived behavioural control directly affects intentions but does not significantly impact actual behaviour independently. It also acknowledges limitations such as sample diversity and reliance on self-reported data. The findings suggest that future research should diversify participant demographics and consider additional contemporary variables to enhance the TPB framework.

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 Keywords

Behavioural Intention, Green Consumption, Perceived Behavioural Control, Smart PLS, Theory of planned behaviour.

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 Abstract

Black cotton soil shows the properties like swell-shrink which results in settlement of pavement to overcome this impact rice husk ash is used.

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Rice husk ash and black cotton soil

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As more and more people exhibit the symptoms of smartphone addiction such as obsessive phone use, lower productivity and even physical and mental health issues-concern over smart phone addiction has escalated in recent years. Therefore, it is necessary to create efficient technique for predicting smart phone addiction and identifying people who are at risk. In this study we developed a Machine Learning model that can predict the risk of smart phone addiction using data collected from a survey of smart phone users. The study covered a wide range of psychological traits such as stress, anixity and depression in addition to demographics and phone use patterns. Our model with the help of popular and effective machine learning method. By preprocessing the data, which included encoding categorical categories and normalizing numerical variables, we made sure the model could train successfully. We employed a number of metrics, such as accuracy, to evaluate the model's performance after using a portion of the data to train it. Our results showed that the model was very accurate in predicting smart phone addiction. Our built model has several potential applications. It could be used by medical professionals to identify the individuals who are most at risk of developing a smart phone addiction and to provide the appropriate support. It might be used by app developers to make less addictive apps that promote wiser phone usage habits. In conclusion, our study shows that it is both possible and successful to predict smart phone addiction using machine learning models. Further research is needed to validate our findings on larger and more diverse datasets and explore the potential applications of this model in different contexts.

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Decision tree, Random Forest, Logistic Regression and Machine learning techniques

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Logistics optimization systems are essential in managing complex supply chains efficiently. This paper explores a comprehensive approach to logistics optimization, focusing on determining the optimal number of trucks, selecting the best routes, minimizing costs, and integrating feedback mechanisms. The study also covers demand forecasting, business decision-making, risk management, transportation scheduling, and inventory management. By combining theoretical insights with practical case studies, this paper demonstrates how integrated logistics systems can enhance operational efficiency and strategic decisionmaking, ultimately contributing to long-term business success

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Cost, Time, Optimization and Risk

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Polycystic Ovary Syndrome(PCOS) ia a choronic complex and the most commen endocrine disorder observed in women of reproductive age. The reasearch been carried out on the effect of some bio-chemical parameters on women with polycystic ovaries. Polycystic Ovary Syndrome attending the department of Biotechnology. There are medicines which can induce an artificial menstrual cycle and the regular level of harmones and ultimately treat the three sign of PCOS. i.e- Acne , Hirsutism, obesity.

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Polycystic Ovary Syndrome ; PCOS hyperandrogenism, Homocystine.

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Euthanasia refers to the practice of intentionally ending a life to relieve pain and suffering (provided the purpose is good and the death is as painless as possible). This idea gave rise to a compassionate death which is found beyond natural death. Individuals who request euthanasia usually do so to avoid the physical and mental suffering that can characterize the final stages of a terminal illness. Individuals who perform euthanasia usually do so out of compassion for the sufferer and to end the sufferer's intolerable suffering. It is classified as voluntary, non-voluntary and involuntary

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Euthanasia: Indian Perspective

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Malvaviscus arboreus is a flowering plant of the Malvaceae family. This plant has several medical applications, including the treatment of whooping cough, wounds, fever, hypertension, sore throat, bronchitis, gastritis, and liver difficulties, stomach-ache, diarrhoea, liver and gall bladder problems, cystitis, and renal illnesses. Botanical research has been done on the leaf, flower, petiole, and stem. The plant has yielded a diverse array of chemical compounds such as cardiac glycosides, flavonoids, terpenoids, alkaloids, tannins through isolation process. Experiments from several research revealed that extracts from various parts had a wide variety of therapeutic benefits such as antibacterial activity, antifungal activity, antioxidant activity, hepatoprotective activity, gastroprotective activity, and anticancer activity. The rich pharmacological effects and underscores the importance of further investigation to elucidate the mechanism underlying its diverse therapeutic actions. The wide range of chemical constituents in the plant underscores its significance in traditional medicine and its potential for the development of novel therapeutic agents.

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 Keywords

Malvaviscus arboreus, anti-inflammatory activity, antifungal, Hepatoprotective activity, Anti-cancer activity

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