Volume 12 | Issue 5 |

 Abstract

Domestic violence is the most universal form of violence against women. Domestic violence can occurs in many forms and take many dimensions. It can be physical, sexual, social, psychological or economical. Domestic violence is also known as domestic abuse, spousal abuse, battering, family violence and intimate partner violence. There are many causative factors which lead to domestic violence which lead to a broken family. Violence also occurs due to their partner addiction to alcohol, gender role, masculinity, frustration due to economic difficulties, violence due to extra marital affairs and due to personality disorder and other factors as well. The objective of the study is to examine the causes related to domestic violence against married women. The main findings shows that while examining about the roots cause of increasing rate of crimes against women it is evident that there are numerable factors that fuel the growth of all these social evils which result in the overall degrading of the well being of the state and thus require serious attention by all concern in the society. But in this present study the roots cause of violence is alcoholism, gender roles, masculinity, personality disorder of their partner, extra marital affairs, trust issues and other factors. To conclude, domestic violence need to be demolish and should not exist anymore as it had affects many family as well as the society and country as a whole so there need to change men's general view of violence, issue policies for women protection, established awareness programmes for both women and men.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Domestic violence, causative factor of violence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This clinical study aimed to evaluate the efficacy of Phytolacca Decandra and constitutional remedies in the treatment of chronic tonsillitis through a comprehensive assessment of symptoms and follow-up criteria, study was conducted in private clinic where sixty cases were selected via purposive sampling and thoroughly assessed. Treatment was personalized according to each case's totality, prioritizing mental and physical general symptoms, followed by particular symptoms. Follow-up criteria were established for monitoring progress. Visual Analog Scale (VAS) pain scores and the Brodsky Grading Scale (BGS) for swelling were used to assess clinical status before and after treatment. Statistical analysis, including paired t-tests, was employed to evaluate treatment significance. Study provides evidence supporting the efficacy of Phytolacca Decandra and constitutional remedies in treating chronic tonsillitis, as evidenced by significant improvements in pain scores and swelling. The findings underscore the potential of individualized homeopathic treatment approaches in addressing the complexities of chroic tonsillitis, highlighting the importance of a holistic approach in clinical practice.

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 Keywords

Specific remedy, individualized remedy, VAS, BGS(Brodsky grading scale)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In many places around the world, there are a lot of people who don't have jobs or have jobs that don't pay enough. This is a big problem, especially for groups of people who are often left out, like minorities or people looking for basic jobs. To help with this big problem, we suggest making a new app called the Quick Hire. This app would help all kinds of people find work, whether they're looking for a job that needs special skills or just a basic job. This research paper aims to thoroughly examine and analyze existing recruitment systems, focusing on their features, functionalities, benefits and challenges. The study also looks into how future versions of these systems, like Quick Hire could improve. This includes emerging technologies and evolving employee's needs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resume, Requirement, Unemployment, Hiring, Jobs, Application.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Python is an interpretable and scriptable programming language. That is object oriented, the primary data wrangling, cloud computing and machine learning. The philosophy, architecture, and application of the data wrangling process--which is utilized in business intelligence and data warehousing--are presented in this work. The art of transforming or preparing data is known as "data wrangling." It is a technique designed for fundamental data management, where data must be appropriately formed, processed, and made available for the most convenient usage by possible users in the future. To support extensive ad-hoc queries, a lot of historical data is either aggregated or kept in data warehouses as facts or dimensions. Data wrangling makes it possible to process business queries quickly and provide analysts and end users with the appropriate answers. The wrangler suggests predicted transcription scripts and uses interactive language. This facilitates the user's understanding of the elimination of manual iterative processes. The best examples in this case are decision support systems. Big data principles have a significant impact on the methods used to prepare data for mining insights, from self-service analytics and visualization tools to the data source layer. Python is an interpretable and scriptable programming language that can be used for both learning and practical applications. Guido van Rossum created the potent high-level language python. It is an interpretable programming language that is object-oriented. The primary Python programming software tools for data wrangling, cloud computing, and machine learning approaches will be introduced in this presentation. In summary, this paper will begin with an introduction to Python programming and data wrangling.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AWS, Cloud Computing, Data Wrangling, Storage

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Freshwater mussels, like Lamellidens marginalis, indeed play a crucial role in ecology and are often regarded as ecological bioindicators due to their sensitivity to environmental changes. The morphometric analysis conducted on these mussels from the Gomti River and Sai River in Lucknow, Uttar Pradesh, provides valuable insights into their variation in size, length, height, and weight. By examining these parameters, researchers can glean important information about the health of the aquatic ecosystem and the potential impact of environmental factors on these mussel populations. For instance, changes in the size, weight, or distribution of Lamellidens marginalis could indicate shifts in habitat quality, water quality, or other ecological factors. Additionally, studying morphometric variations among populations from different rivers can help identify specific environmental stressors or differences in habitat conditions between these locations. Such research contributes to our understanding of freshwater mussel ecology and informs conservation efforts aimed at preserving these important organisms and the ecosystems they inhabit. By monitoring and studying freshwater mussel populations, scientists can assess the overall health of freshwater ecosystems and implement targeted conservation strategies to protect these vital habitats.

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 Keywords

Fresh water mussel, Lamellidens marginalis, Gomti River, Sai River, Morphometric, Uttar Pradesh, Conservation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Research hotspots in academic and financial circles include understanding the pattern of financial activity and forecasting their growth and changes. Predicting financial data's development trends is a very challenging task because financial data contain complex, incomplete and fuzzy information. The movement of stock prices can be predicted and analysed using a variety of techniques. Use Artificial Intelligence algorithms for forecasting. Aim of this method is to improve the quality of output of stock market predicted by using stock value. In this paper is used to predict the futuristic prices of stocks and use wide range of algorithms like long short-term memory (LSTM), recurrent neural networks (RNN), Autoregressive Integrated Moving Average (ARIMA). This bibliometric study focusses on the study based primarily on the Scopus database.

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 Keywords

Artificial Intelligence; LSTM; RNN; ARIMA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Virtual tourism, enabled by digital technologies, has become a major breakthrough that provides immersive travel experiences without the need for actual tourism. This research paper explores the phenomenon of virtual tourism within the context of Sultanate of Oman, investigating its implementation, economic advantages and future prospects. By leveraging virtual platforms, Oman aims to enhance its tourism landscape, attract visitors and contribute to economic diversification. In this paper, the phenomenon of virtual tourism within the context of Oman is investigated. It examines the economic benefits of virtual tourism for Oman, including revenue generation, employment opportunities and sectoral growth. It investigates the country's potential to establish itself as a leading destination in the global tourism market through virtual tourism initiatives. Government policies, private sector investments and collaborative partnerships play crucial roles in driving the adoption and success of virtual tourism in Oman. Sultanate of Oman's rich cultural heritage and natural landscapes make it an ideal candidate for promotion of virtual tourism. By showcasing its attractions through virtual platforms, Oman can reach a wider tourists and compete effectively. Virtual tourism also serves as a valuable marketing tool, inspiring travelers to visit Oman in Person. Despite challenges such as technological infrastructure and cultural preservations, Oman's virtual tourism sector shows promising growth potential. Technological advancements, coupled with increasing internet accessibility, are expected to drive the popularity of virtual tourism in the country. To sum up, Virtual tourism offers new opportunities for Oman to diversify its tourism revenue streams, promote cultural heritage and stimulate economic growth. By embracing virtual tourism alongside traditional methods, Sultanate of Oman can position itself as a leading destination for immersive travel experiences, meeting the changing needs of tourists from throughout the world.

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 Keywords

Economy, Oman, Virtual tourism.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the ever increasing demand of automobiles in our daily life, rubber waste is also increasing enormously through tyres resulting in disposal of rubber waste in land. Instead of disposing rubber waste into landfills, it can be reused in flexible pavements as crumb rubber as it has elastic properties. So the crumb rubber can be used in road construction works by partially replacing bitumen. Addition of crumb rubber in flexible pavements enhances the properties of the road surfaces as well as it reduces the rubber waste from the lands. In the experimental work, bitumen was partially replaced by crumb rubber with varying percentages i.e.8%, 10% & 12%, for performing Marshall Stability Test on the prepared samples. Tests were also performed to check the physical properties of the aggregates and bitumen. The optimum percentage of bitumen and crumb rubber for stability value and flow value was found out to be 12.2 KN and 2.7mm respectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crumb rubber, Flexible pavements, Bitumen, Marshall Stability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Real-Time Cloud-Based Bus Pass System Project serves as a convenient solution for commuters who are encountering difficulties with the current manual bus pass system. Passengers are afforded the convenience of seamless travel through the utilization of a mobile ticket QR code, serving as a safeguard in case of ticket loss during inspections. The QR code can be checked by the Bus and the system administrator to verify its authenticity. The unique identification system ensures that each passenger is assigned a distinct number, effectively eliminating the possibility of duplication. In addition, the system prolongs the validity duration and issues timely notifications to commuters via SMS or email prior to the expiration of their pass. The renewal or registration process offers flexibility with multiple payment options, such as credit cards or debit cards. Initially, passengers are required to register on the application by providing personal information, which includes a photo and proof of address, through an online platform. The system undertakes a thorough assessment of the provided information and subsequently either approves or declines the bus pass application based on its findings. Customers have the option to purchase bus tickets online, round the clock, seven days a week, thereby resolving the problem of lost or stolen bus tickets. Users have the ability to recharge using either credit cards or debit cards. The website may experience overload as a result of a large volume of users accessing it simultaneously. Hence, the system is constructed using cloud infrastructure to enhance its performance. Moreover, the online system allows customers to verify the availability of bus tickets prior to making a purchase. Additionally, customers are relieved from the necessity of paying cash for bus tickets as they have the option to use their Credit Card for payment

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bus pass approval system using cloud

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the influence of emotional intelligence on impulse buying and post-purchase regret among young working adults. Emotional intelligence, the capacity to recognize, understand, and manage one's own emotions and those of others, serves as the independent variable in this study. The dependent variables are impulse buying, the tendency to make spontaneous purchases, and post-purchase regret, the sense of remorse after a purchase. Utilizing a quantitative research design, the study surveyed 120 professionals aged 18-30. The findings indicate significant correlations between emotional intelligence and impulse buying, suggesting that individuals with higher emotional intelligence are less likely to engage in impulse purchases. Similarly, a significant relationship was found between emotional intelligence and post-purchase regret, with higher emotional intelligence correlating with lower levels of regret following an impulsive purchase. Additionally, the study revealed a significant correlation between impulse buying and post-purchase regret, confirming that impulsive purchases often lead to subsequent feelings of remorse. Interestingly, the analysis showed no significant gender differences in emotional intelligence, impulse buying, or post-purchase regret, highlighting that these psychological phenomena affect young working adults regardless of gender. This research contributes to the understanding of emotional intelligence's role in consumer behaviour and offers insights into mitigating negative purchasing experiences. The implications of these findings are valuable for developing strategies to foster emotional intelligence, potentially reducing the frequency of impulse buying and the associated regret among young professionals.

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 Keywords

Emotional Intelligence (EI), Impulse Buying, Post Purchase Regret, Buying Behaviour, Schutte Self Report Emotional Intelligence Test (SSEIT), Impulse Buying Scale, Purchase Regret Scale, Consumer Behaviour, Consumer Psychology

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Creative Commons Attribution 4.0 and The Open Definition