Volume 11 | Issue 8

 Abstract

This study explores the factors influence on website quality and its impact on online compulsive buying behavior in the context of online shopping Organizations based on – amazon, flipkart, myntra, meesho and online impulsive buying behaviour. It also explores factors that lead to describe the quality of an online shopping website. A customer survey questionnaire was distributed to collect primary data. secondary data for the study is collected from published journals, magazines, newspapers, and different websites. Target customers are who shop from four major online shopping organizations - amazon, flipkart, myntra, and meesho, the study examines how various dimensions of website quality, such as usability, ease of use, entertainment, complementary functions, and product image quality influence compulsive buying behavior. This study follows literature study, positive worldview, and utilized contextual investigation plan. The variables that are considered from literature review and from observation as factors influencing that lead to website quality are usability, ease of use, entertainment, complementary functions, and product image quality. A Convenience sampling technique was utilized for data collection. The data was gathered by qualitative substance investigation strategy through passing questionnaire. sample consisted of 220 respondents. Data were analysed using SPSS and examined descriptive statistics, frequencies and reliability to ensure the quality of our obtained data. Factor analysis is performed to explore the underlying dimensions that explain the relationships between the multiple variables. To evaluate the connections among the research components of the study correlation, multiple linear regression, t- test and ANOVA are used. The study found that the majority of respondents were male and unmarried, with a higher frequency of employed individuals. The highest frequency of online shopping was observed in the 20-30,000 income group. Amazon and Flipkart had less anxiety and impulsive shopping, while Myntra and Meesho had balanced responses. Regression models predicted website usage and identified factors influencing online impulsive and compulsive buying behavior. Gender, marital status, age, education, and occupation did not significantly affect compulsive buying behavior. The results indicate that website quality significantly affects compulsive buying behavior, with being the most influential factors. The study provides important insights for famous online shopping organizations like amazon, flipkart, myntra and meesho to improve website quality which will help e-commerce website to increase their sales.

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 Keywords

Website quality, Online Compulsive buying behaviour, Use of online shopping website - Amazon, Flipkart, Myntra, Meesho, Online Impulse buying behavior, Consumer behaviour.

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 Abstract

Madhimik sthar per adhiyantar vidhiyarthiyo ke samayjan samta ka adhiyn

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Madhimik sthar per adhiyantar vidhiyarthiyo ke samayjan samta ka adhiyn

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Women’s financial independence is a crucial aspect of gender equality and empowerment. The ability of women to control their own finances can lead to greater autonomy, decision-making power, and opportunities for personal and professional growth. However, in India women face numerous challenges in achieving financial independence including cultural norms, lack of access to education and training and limited economic opportunities. This study aims to examine the factors that influence Indian Women’s financial independence. The study will explore the socio-economic and cultural factors that shape women’s financial decisions and behaviours, as well as the role of education, employment, and financial literacy in promoting financial independence. We conduct the survey by using a tool of questionnaire and distributed the working women through WhatsAap chat. The data is going to collect from 500 working and non-working women members randomly from NCR region. The data were analyzed using empirical, exploratory and descriptive research design methods will be used to explain relationship and test of significance in order to find out the results and conclusions.

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Financial independence, NCR, Self-efficacy, empowering women, financial literacy

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Preformulation is defined as the study of the physical and chemical characteristics of pharmacological compounds both on their own and in combination with excipients. The primary step in the rational development of the dosage forms for the medicinal drug substance is preformulation research. Studying preformulation factors can help create pharmaceutical formulations that are dependable, safe, and effective. The aim of this study id to determine some of the physiochemical properties such as solubility, melting point, lambda max, infra-red spectra, etc. Budesonide is a glucocorticoid used in the treatment of asthma, inflammatory bowel disease, etc. The budesonide was studied for the various properties and the results for the organoleptic characteristics were found to be white crystalline powder. The melting point in average was found to be 228 oC. The solubility of budesonide in water was found to be low and was found to be higher in phosphate buffer pH 1.2.

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Preformulation study, Budesonide, Solubility and Analytical methods

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An identity crisis emerges when an individual becomes uncertain about their societal role and lacks clear guidance for shaping their personality. This confusion arises when one loses sight of their life’s purpose, initiating an identity crisis. An individual’s sense of identity is crucial for understanding their life’s meaning. Coined by Erik Erikson, the term ‘identity crisis’ is explained as a phase where a person grapples with resolving uncertainties during their middle age. This struggle can lead to a sense of detachment and uncertainty, fostering pessimism and disorder. In Marian Keyes’ novel Angels, the main character, Maggie, becomes ensnared in adulthood blues. She undergoes a miscarriage and misinterprets her husband’s grief as infidelity, causing her to lose her self-awareness and descend into chaos. As the story progresses, Maggie eventually regains her self-identity by dispelling her illusions, resulting in a renewed sense of clarity and self-assurance.

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Self-identity, Hallucination, Cognition, Negative traits.

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The given text provides information about diastase and pepsin enzymes found in animals, , and microbes. Diastase is a hydrolytic enzyme that breaks down polysaccharides like starch and glycogen into smaller molecules like oligosaccharides, disaccharides, and monosaccharides. The paper also discusses the activation process of pepsin molecules and the structure of human diastase. Overall, the text provides an overview of the different types of enzymes and their functions in biological systems.

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Digestive Enzymes, Diastase, Pepsin, Enzyme Mechanisms

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Challenges of Multidisciplinary Approach in Higher Education

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Challenges of Multidisciplinary Approach in Higher Education

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Suicide is a psychiatric emergency. Stressful life events and suicidal intent are one of the major predictors of attempted suicide. The aim of the study was to find out the relation of stressful life events and suicide intent in patients who attempted suicide. The present study was conducted in the Department of Psychiatry, Jawahar Lal Nehru Medical College and Hospital, Aligarh, Uttar Pradesh. Suicide attempters referred for psychiatric evaluation from various departments of the hospital during the period June 2021- May 2022 were evaluated. In the study, it was found that most patients had medium suicide intent with moderate stress and interpersonal conflicts were the major reason behind attempts. Thus, decreasing the stress and teaching healthy coping strategies is required to reduce self-harm/ suicide attempts.

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stressful life events, suicidal intent, attempted suicide

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This research paper presents a novel approach for maximum power point tracking (MPPT) in solar panels using a combined Artificial Neural Network (ANN) and Jaya algorithm-based model. The aim of this study is to overcome the limitations and challenges associated with traditional MPPT techniques and enhance the performance of solar panels in terms of efficiency, stability, and adaptability. Additionally, the integration of fuel cells as an alternate energy source is explored to ensure continuous power supply in the absence of solar irradiance. The proposed ANN-Jaya model is developed and validated through extensive simulations and comparisons with conventional MPPT models in MATLAB Software. The model's performance is evaluated based on various parameters, including voltage, current, power generation, and battery state of charge. The results demonstrate the superiority of the proposed model, as it consistently generates stable and optimal outputs, minimizing oscillations and maximizing power generation.

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EVs, MPPT Tracking, Optimization Algorithms

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The present study was attitude towards life skills and value education among the B.Ed., trainees in Krishnagiri district. The study is based on primary data which is collected from 200 B.Ed., trainees in and around the Krishnagiri district. The study explored the study on life skills and value education among B.Ed., trainees. The findings reveal that there is no significant difference in the attitude towards Life Skills and Value Education among the B.Ed., Trainees. The Trainees shall be still encouraged to give more importance to life skills and value education. The same kind of study can be carried out by increasing the number of variables and factors to get the narrowed results. The same study may be extended to another geographical region. So as to generalize the findings of the present study or compare with other regions. In the similar manner further study can be conducted to analyze Life Skills and Value Education among all subject teachers at school level as well as college level or academia level.

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Attitude, Life Skills; Value Education, B.Ed., Trainees.

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Several companies have established a strong foot over this sector. Companies like Hindustan Unilever limited (HUL), Indian tobacco company (ITC), Dabur, Nestle, Godrej etc. have become common household names, not just in urban areas but also in the rural areas. Each company within the sector is a dominant player in the market under different sub-sectors. Each company within the sector is spending enormous amounts on their product building, product innovation, supply chains and so forth, to gain competitive edge over its peers.

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COMPARATIVE FINANCIAL ANALYSIS BETWEEN DABUR INDIA & GODREJ LTD.

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Shikshan me Shokshik prodhogiki ka mahtva

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Shikshan me Shokshik prodhogiki ka mahtva

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The COVID-19 pandemic has raised many ethical challenges, but key among these has been the possibility that healthcare systems might need to ration scarce critical care resources. Rationing policies for pandemics differ by institution, health system, and applicable law. Most seem to agree that a patient's ability to benefit from treatment and to survive is first-order consideration. However, there is debate about what clinical measures should be used to make that determination and other factors that might be ethically appropriate to consider. The covid-19 pandemic has concentrated bioethics attention on the "lifeboat ethics" of rationing and fair allocation of scarce medical resources, such as testing, intensive care unit beds, and ventilators. This focus drives ethics resources away from persistent and systemic problems-in particular, the structural injustices that give rise to health disparities affecting disadvantaged communities of color. Bioethics, long allied with academic medicine and highly attentive to individual decision-making, has largely neglected its responsibility to address these problematic "upstream" issues. It is time to broaden our teaching, research, and practice to match the breadth of these significant societal inequalities and unmet health needs.

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Bioethics, pandemics, justice, Care, and Health care

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This study aims to explore the complex relationship between politics and caste in India, examining the historical context, socio-cultural factors, and the contemporary impact of caste-based politics on the Indian political landscape. The study will delve into the intricate interplay between caste identities, and political mobilization studies electoral outcomes, shedding light on how caste influences the power dynamics and governance in India. By analyzing case studies, empirical data, and scholarly perspectives, this study seeks to provide a comprehensive understanding of the phenomenon of caste politics and its implications for India's democracy, social cohesion, and inclusive development.

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Political dynamics, Caste politics, Caste system, Political mobilization, Electoral politics, Voting patterns, Affirmative action,

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The lungs are organs in the human respiratory system that function as an exchange of oxygen with carbon dioxide in the blood. The decline in air quality and COVID-19 in the world, including in India, has an impact on increasing the risk of lung disease. Lung disease that is often encountered is wet lung. Wet lung is a form of acute respiratory infection namely Lungs Diseases that attacks the lungs. The lungs are made up of tiny sacs called alveoli, which fill with water when a healthy person breathes. When a person has Lungs Diseases, the alveoli fill with pus and fluid, which makes breathing painful and limits oxygen intake. Early diagnosis of Lungs Diseases has a major impact on the life of a patient. Diagnosis of Lungs Diseases is generally done clinically (physical symptoms by a doctor). In addition, Lungs Diseases can also be diagnosed through chest radiographs, CT scans, and MRIs. Chest radiograph examination is one of the most frequently used medical imaging examinations because it is more affordable. Reading chest radiographs has drawbacks, namely it is difficult to detect disease, so it takes a long time before medical personnel or doctors diagnose the disease suffered by the patient. One method to overcome this problem is to classify chest radiograph images into certain classes using machine learning. The method used to process the data is multilayer perceptron (MLP). MLP has disadvantages for several types of data, especially for images, but MLP is not well adapted so that it loses spatial information contained in images. Therefore using multiple Convolutional Neural Network Architectures (AlexNet and ResNet) within which the importance of being able to identify the better architecture to obtain the results (diagnose Lungs Diseases) has been essential for the research performed, according to the antecedents of the authors proposed in the methodology, the best architecture analyzed is that of ResNet for having presented high performance in past research. Consequently, The joint classification (Resnet and Alexnet) has proven to be an innovative idea at the time of show a result of a predictive model, as it uses several classifications in turn to determine an end result. Which helped ensure the veracity of the output, which is very important to be able to determine if there is pneumonia in early stage, being this difficult to detect. Designing a Predictive Model for Early Detection of Lungs Diseases using Deep Learning and allowed this research to contribute providing a tool that serves as support for the diagnosis of this disease and reduce the high death rate that exists nationally and internationally.

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Lungs Diseases Detection, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks.

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Roxithromycin, UV-Visible Spectrophotometer, RP-HPLC, Validation parameter

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Conjunctivitis, commonly known as pink eye, is a highly contagious eye condition that affects a large number of individuals worldwide. Timely and accurate detection of conjunctivitis, along with personalized drug recommendation, is crucial for effective treatment. In this study, we propose a novel system that combines convolutional neural networks (CNN) with advanced data analytics techniques to address this problem. The first component of our system focuses on conjunctivitis detection. We employ a CNN architecture to analyze digital images of the eye and classify them as either normal or indicative of conjunctivitis. The CNN model is trained on a large dataset of labeled eye images, enabling it to learn complex patterns and features associated with the disease. Through extensive experimentation and evaluation, we demonstrate the effectiveness of our CNN-based approach in accurately identifying conjunctivitis cases. The second component of our system aims to provide personalized drug recommendations based on the detected conjunctivitis condition. Leveraging the conjunctivitis diagnosis obtained from the CNN model, we employ data analytics techniques to analyze a comprehensive database of medications and their associated efficacy. By considering factors such as patient demographics, medical history, and drug interactions, our system generates personalized drug recommendations that optimize treatment outcomes and minimize adverse effects. To evaluate the performance of our system, we conducted experiments using real-world datasets comprising diverse eye images and patient profiles. The results demonstrate high accuracy in conjunctivitis detection and the generation of personalized drug recommendations. Our system shows great potential for assisting healthcare professionals in making informed decisions regarding conjunctivitis treatment, improving patient outcomes, and minimizing the spread of infection. The proposed Conjunctivitis Eye Detection and Personalized Drug Recommendation System using CNN combines state-of-the-art image analysis techniques with data analytics to provide accurate conjunctivitis detection and personalized drug recommendations. The system has the potential to enhance the efficiency and efficacy of conjunctivitis treatment, benefiting both healthcare professionals and patients.

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Conjunctivitis, Pink eye,Eye detection, Personalized drug recommendation, CNN

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Rookshana is one among the Shadvidha Upakramas and Charaka has compassed all the therapeutics or treatment principles under six categories i.e., Langhana, Bramhana, Rookshana, Snehana, Swedana and Stambhana. Whereas Vaghhata has divided under two categories ie. Santarpana and Apatarpana. Under the Santapana he has included Snehana and Stambhana and given the synonym as Brumhana. Under Apatarpana called as Langhans he has included Rookshana and Swedana. the Physician should know timely application of these Upakramas to achieve aim to keep health of Healthy and cure the Diseases, study is planned to view in detail about Rookshana Karma.

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Rookshana, Shadvidhopakrama, Langhana, Apatarpana, Upakrama.

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Excision, wound, healing, Pithecellobium, extract

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The fundamental objective of diverse therapeutic modalities such as Ayurveda, Yoga, psychiatry, and medicine is to facilitate individuals in attaining a state of positivity, joy, and well-being, with disease mitigation being a secondary aim. In the existing framework, Yoga emerges as a holistic discipline that empowers the body and mind to effectively manage stress, reshaping neural chemistry and neurotransmitter configurations for enhanced longevity and overall contentment. Moreover, Yoga serves as a potent alternative medicine, aligning seamlessly with the realms of stress management and mental health.

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Yoga, stress management, alternative medicine, psychiatry

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