Volume 12 | Issue 10

 Abstract

Women's safety remains a critical issue globally, with alarming rates of harassment, molestation, and assault reported across various demographics. Despite historical respect for women in society, contemporary challenges persist, with estimates indicating that 35lifetime. To address this pressing issue, this work presents the development of a smart wearable device aimed at enhancing women's safety through the Internet of Things (IoT). The proposed device is designed for daily use and activates in emergencies to provide real-time protection. Key features include GPS tracking, which allows for continuous location monitoring via a dedicated Android application, and an integrated camera module that captures and transmits photos to the app during dangerous situations. Additionally, the device is equipped with an SOS alert system to attract attention from nearby individuals, and it sends SMS notifications to family members and local police stations when activated. This innovative wearable device aims to provide a comprehensive solution to the safety challenges faced by women and improve their overall protection in critical situations.

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 Keywords

Internet of Things (IoT), GPS Tracking, SMS Notification System, Wearable Technology.

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Recent advancements in Natural Language Processing (NLP) have greatly enhanced ChatBot capabilities, enabling more seamless and natural user interactions. This paper presents the development and implementation of a Java-based ChatBot utilizing NLP techniques, showcased through a simple Swing application. The ChatBot engages with users by answering their queries and offering assistance on a variety of topics. The ChatBot employs key NLP components such as tokenization, part-of-speech tagging, and sentiment analysis to understand user input and generate suitable responses. Its architecture combines rule-based logic with random selection to handle a wide range of inputs, leveraging Java's robustness and scalability alongside powerful NLP libraries. Key features of the ChatBot include: The ChatBot extracts key entities and identifies user intents to interpret inputs. Personalized responses are provided based on user queries and predefined patterns. The paper also addresses challenges such as managing ambiguous inputs and ensuring response relevance. These outcomes emphasize the potential of combining Java and NLP to produce smart ChatBots that deliver efficient, customized user experiences for applications like customer service and personal support.

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NLP, ChatBot, tokenization, sentiment analysis, part-of-speech tagging

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The analysis of Superstore sales data is critical for understanding the dynamics of retail performance and developing effective business strategies. This paper presents a detailed review of Superstore's transactional data spanning multiple years, focusing on identifying sales trends, profitability drivers, and regional performance patterns. Using a combination of exploratory data analysis(EDA), statistical-modeling, and machine-learning techniques, the study evaluates the impact of key variables such as product category, discount rates, shipping costs, and customer demographics on sales outcomes. The research highlights significant trends, including seasonal spikes in demand, regional disparities in product preferences, and the effect of discounting on profit margins. For example, categories like technology and furniture exhibit higher sales volumes but are sensitive to discounts, affecting profitability. Moreover, the analysis reveals that while discounts increase sales temporarily, they do not always contribute to long-term profitability, suggesting the need for a balanced discounting strategy. Geographical analysis also shows that regions with higher shipping costs have reduced profitability, emphasizing the importance of optimizing supply chain logistics. The study further delves into customer segmentation to identify high-value customers and assess their purchasing behaviors. Techniques like RFM (Recency, Frequency, and Monetary) analysis are employed to group customers based on their purchase patterns, providing insights for targeted marketing initiatives. Machine learning models, including regression analysis and clustering algorithms, are applied to forecast sales and classify customers, allowing for data-driven decision-making.

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 Keywords

Superstore Sales Analysis, Retail Performance, Profitability, Customer Segmentation, Discount Strategies.

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This systematic review examines the effectiveness of Garbhasanskar--a traditional Indian approach focusing on holistic maternal well-being--as a viable intervention for reducing antenatal depression among urban Indian women. Antenatal depression (AND) is a rapidly growing mental health concern. Untreated AND has severe consequences for both fetus and mother. These include altered fetal development, neurodevelopmental issues, pre-term and low birth weights for the babies; for the mothers there is higher risk of postpartum depression, increased risk of physical illnesses like diabetes, more risk of maladaptive behaviours. Modern psychological interventions often face challenges such as accessibility, cultural stigma, and a lack of integration with traditional practices. For the review, empirical studies from 2010 to 2024 were extracted using databases like Google Scholar and PubMed. 6 studies met the inclusion criteria. Data was synthesized using narrative synthesis to examine the impact of practices like yoga, mantra chanting, prenatal education, mindfulness, and nutritional guidance, on AND. Findings indicate that women engaged in these had a notable reduction in AND.

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antenatal depression, Garbhasanskar, garbh sanskar, urban India, traditional interventions, maternal health, systematic review

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 Abstract

Bhakti Kavya Ki Mahan Vidhushi Meerabai

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Bhakti Kavya Ki Mahan Vidhushi Meerabai

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Social media is a digital platform for communication and content development and allows one to share information, opinions, ideas and many other things and also provide numerous options to create the content. The present study explores the usage of social media platforms among the students of Amritsar district. The study found that 86 percent respondents have their personal mobile phone and 88 percent respondents use social media platforms. Almost 24 percent respondents reported that they spend 2-3 hours on an average on social media websites, whereas 12 percent respondents spend more than five hours daily on social media. Almost 24 percent of the respondents often found themselves using social media. Around 28.8 percent respondents agreed or strongly agreed with the statement that they often found life to be boring without social media.

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Social media, students, Amritsar, Addiction, mobile phone.

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 Abstract

Disruption of normal structure and function of skin and underlying soft tissue is wound; it is caused by trauma, infection & chronic mechanical stress. It can be divided chronologically in acute & chronic. Factors needed for healing wound are proper vascular supply, cure infection, free of necrotic tissue & moist, but some wounds not healed by proper management in bioscience and this condition is equated with Dushta Vrana. Dushta Vrana, or chronic non-healing ulcers, poses significant challenges in clinical practice, particularly among patients with compromised immune systems or chronic diseases. Acharya Sushruta mentioned sixty treatment modalities to treat Vrana. Here we present a case of Dushta Varna (Non-healing wound) & successful management by application of Ayurvedic drug preparation. This case study investigates the comprehensive Ayurvedic management of a 45-year-old male laborer presenting with a 15 days history of a non-healing ulcer on the left heel region, characterized by persistent pain, purulent discharge, and systemic symptoms such as fever and generalized weakness. Using Ayurvedic principles, we aimed to address the underlying dosha imbalances, enhance wound healing, and improve the patient's overall well-being. After 2 weeks of intervention, significant improvements were observed: the wound size decreased markedly, pain levels were substantially reduced, and systemic symptoms resolved. The patient's overall health improved.

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Dushta Vrana, Ulcer, non healing Ulcer, Vranaropana, Vranashodhana, nimba kalka, Yava Kalka with ghrita.

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This study evaluates the physico-chemical characteristics of water from the Amravati Reservoir in Malpur, Maharashtra, India. Given its significance for irrigation, drinking water, and fisheries, assessing the water quality is essential. A analysis was performed from July 2023 to June 2024, examining parameters such as temperature, pH, dissolved oxygen (DO), free CO2, total dissolved solids (TDS), nitrates, phosphates, and total hardness. The results revealed seasonal fluctuations in these parameters, with distinct differences observed during the pre-monsoon, monsoon, and post-monsoon phases. The water's pH was slightly alkaline, and the DO levels indicated a healthy oxygen supply in the reservoir. These findings can aid in developing guidelines for the sustainable management of the Amravati Reservoir's water resources and bolster conservation initiatives.

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Malpur, Reservoir, Water Quality.

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Personality prediction is a large area of research. Predicting personality using data from social media is a promising method because it doesn't require users to fill out surveys, which saves time and increases accuracy. Predicting personality has many real-world uses. As social media use continues to grow, a huge amount of text and images are shared online every day. Since most people share a lot of personal information, both knowingly and unknowingly, in their posts, it's possible to figure out personality traits from these texts. Finding individual personality traits from texts opens up many opportunities for different areas, like the forensic field, mental health assessments, and more. Deep learning algorithms are quite effective for text-based personality detection. In this study, we focus on a mixed deep learning approach, which combines different types of neural networks and machine learning techniques.

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Personality traits, machine learning, deep learning, personality recognition, Big-Five, Text analysis

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This study contrasts the level of admiration that students have for celebrities in government and private high schools in Lucknow, India. The investigation involved five hundred students from twelve distinct colleges, including both public and private institutions. The Celebrity Worship Scale (CWS) was implemented to quantify various aspects of celebrity involvement. In particular, the intense-personal and borderline-pathological characteristics demonstrated that private school students held celebrities in much higher regard than their public-school peers. The research suggests that the socio-economic status and cultural exposure of students at private institutions could influence their opinions of personalities. Researchers urge instructors and parents to be more cognizant of the impact of social media on adolescent behaviors associated with celebrity culture and suggest that additional research be conducted.

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Celebrity Worship, Government Schools, Private Schools, Adolescent Behaviour, Socio-Economic Factors, Celebrity Worship Scale.

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A migraine is a common recurring disorder characterised by blinding headaches that may last from 4 hours to 3 days. These headaches are often accompanied by other symptoms including nausea, vomiting, photophobia, and phonophobia (Goadsby et al. 2017). Additionally, there are two main forms of migraine: migraine with aura i.e. neurological symptoms such as flashing lights or tingling limbs occur before the pain, and migraine without aura refers to pain that occurs without any previous symptoms. Within a span of a lifetime, migraines affect approximately one out of every seven persons on the planet making them disabling particularly in women aged between 18 and 49 years

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migraine, micro rna, cgpr

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"The combination of Coronary Artery Bypass Grafting (CABG) with Mitral Valve Repair (MVR) has emerged as an integrated approach to address the dual challenges of coronary artery disease and mitral valve dysfunction. This abstract summarizes the Dietary modifications to be followed after the surgery and outcomes of the CABG WITH MVR procedure. The simultaneous repair of coronary arteries and mitral valve ensures optimal heart function and enhances patient quality of life. The patient must adhere to the recommended diet in order to preserve their health after the procedure. To keep their weight within a healthy range, they must primarily concentrate on consuming less fat and more fiber also consuming fewer sodium and sugar-containing products. In addition to diet moderate physical activity can effectively help the patient for achieving healthy lifestyle.

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Coronary Artery Diseases(CAD),CABG, MVR, Acitrom/ Warfarin medicine, Diet, Physical activity, Restricted Vitamin-K, Low Sodium, Low Calories, Low Fat, Adequate Fiber, Heart-Lung machine

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The observational study conducted in Rampur district, covering an area of 2,367 km2, aimed to explore its floristic diversity. A total of 526 plant species were documented, representing 398 genera and 109 families. Among these, dicotyledons comprised 419 species from 308 genera and 87 families, while monocotyledons accounted for 107 species from 90 genera and 22 families. Notably, Poaceae, Fabaceae, and Asteraceae emerged as the most dominant families within Rampur district's flora. Analysis of the origin status of the flora revealed that 217 plant species (41.25%) were native to the region, while 309 species (58.75%) were identified as exotic. This distribution highlights the significant presence of non-native species within the district's plant community. These findings provide valuable insights into Rampur district's floral wealth, shedding light on the diverse array of plant life present in the region. However, the prevalence of exotic species underscores the importance of monitoring and managing non-native flora to maintain ecological balance and preserve native biodiversity.

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Exotic flora, Native flora, Northan Uttar Pradesh, Indo-Gangetic Plains, district Rampur.

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Tripura Upajati Juba Samiti (TUJS) founded in 1967. It is the first tribal regional political party of Tripura. The INPT renamed from TUJS in 2002 at the State level conference Tulsi Bati Girls School, Agartala West Tripura . The INPT main objective is to protect Indigenous People's in Tripura. The INPT and INC between two political party alliance in 2003 and 2019. INPT organised the movement to implementation for Inner Line Permit and National Register of Citizens in Tripura. The INPT also protest against the implementation of Citizenship Amendment Bill and Citizens Amendment Act. The INPT participate in Tripura Legislative Assembly Elections and Lok Sabha Elections. Finally INPT merged with the Tipra Indigenous Progressive Regional Alliance (TIPRA) in 2021.

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The Indigenous Nationalist Party of Twipra (INPT).

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The paper aims to examine the performance of embankments that are constructed over soft soil. The experimental investigation was carried out by performing model tests of the embankments over the soft soil condition without any reinforcement. A model embankment of 400mm in height was constructed on top of a soft clay bed of 500mm in a model testing tank. The load was applied in increments, settlements, and lateral displacements were recorded. According to test data, the embankment founded on soft clay exhibits more deformations without any ground improvement. Hence, the need for reinforcement is required, especially in the construction of embankments. The values from the test agree with the theoretical results.

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Soft soil, Embankment, Settlement, and Lateral displacement.

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This research explores how ecological memory functions in Indigenous stories, focusing on Joy Harjo's poetry, Anchorage, which serves as a vehicle for expressing environmental knowledge and cultural memory. This paper examines how indigenous oral traditions and literary representations capture a strong connection to the environment by analyzing this poetry. To better understand how Joy Harjo's poetry communicates indigenous ecological knowledge and values, this study will examine how she represents ecological memory in her poems. The study aims to demonstrate how indigenous literature contributes to a more comprehensive comprehension of the interaction between humans and nature. The study focuses on textual analysis and closely reads the poetry Anchorage by Harjo. The theoretical framework for this study will draw upon Ecocritical theory, particularly perspectives that emphasize Indigenous epistemologies and critique the colonial and capitalist exploitation of natural resources. Harjo's poetry also serves as a form of resistance against the marginalization of indigenous voices in mainstream environmental discourse. This study demonstrates that Indigenous literature, through its rich storytelling traditions and cultural expressions, plays a crucial role in advocating for ecological justice and raising awareness about the impacts of climate change.

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Ecocriticism, Memory studies, Climate change

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The power of personal psychology in the investments you choose A curious trait emerges: while it is believed that gains and losses should be equally potent, investors actually succumb to loss aversion. Income and profession matter to some extent while choosing one's investment strategy. Once in the investment market, investors are almost always a combination of a higher return seeker and risk aversion.

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impact of loss Aversion and Investment decisions

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One common autoimmune illness that causes changes in joint integrity is rheumatoid arthritis, which first presents as persistence synovitis. In individuals with rheumatoid arthritis, early, vigorous, and guided immunosuppressive therapy is necessary to elicit clinical remission and preserve function and health. Antirheumatic medication is sometime known as "disease-modifying antirhematic drugs" (dmards) since they have the ability to reduce synovial inflammation. This article attempts to bridge the gap between the era of kinas inhibitor and biological therapies, and the introduction of dmard therapy with medicine like methotrexate, leflinomide, sulfasalazine, injectable gold and (hydroxyl) chloroquine.

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Arthritis, Antirhematic Drugs, Diagnosis, Gout Arthritis, Rheumatoid

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The Oxford Advance Learners' Dictionary defines "communicative" as "ready and willing to talk and give information". Noam Chomsky's communicative view of language and theory of competence has much to do with linguistic competence. According to him "competence was internalized knowledge of the system of syntactic and phonological rules of the language that the ideal speaker - hearer possesses in the native language...," communicative competence is the ability to use the language appropriate to given social context. It is the ability to say or write something which is grammatical, appropriate, fluent, formally possible, feasible and socially and contextually acceptable. The environment is the atmosphere that surrounds the person or persons engaged in the communication. It has a tremendous influence upon communication. Noise, which is always present to one degree or the another in every communication situation, is the undesirable input due to the factors called barriers. This distorts the message. Feedback in the communication systems is that which allows the source to monitor the receiver's response to the message. It ensures accurate communication exchanges and indicates whether or not the communication has been received and understood. It helps the sources and the receiver to monitor the communication. Not only is feedback essential for communications, but it is also vital to teaching and learning.

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COMMUNICATION,LINGUISTIC COMPETENCE,SYNTACTIC AND PHONOLOGICAL,GRAMMATICAL,FORMAL,INFORMAL,LANGUAGE TEACHING/LEARNING SKILLS.

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 Abstract

SOME STUDENTS OF CLASS SIXTH FAIL TO UNDERSTAND THE INTRICACIES OF MATHEMATICS

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SOME STUDENTS OF CLASS SIXTH FAIL TO UNDERSTAND THE INTRICACIES OF MATHEMATICS

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