Volume 13 | Issue 7

 Abstract

The rise of social media has transformed how people communicate, share information, and build communities. However, this growth has also led to a surge in fake profiles, which pose serious threats such as misinformation, cyberbullying, identity theft, and online scams. Detecting these fraudulent accounts has become crucial to maintaining the integrity of online platforms. This project aims to develop a system that automatically identifies fake social media profiles using machine learning techniques. By analyzing various features such as profile activity, friend patterns, content characteristics, and account metadata, the model can distinguish between genuine and deceptive accounts. The system is trained on a labelled dataset and uses classifiers like Decision Trees, Random Forest, or Support Vector Machines to achieve accurate detection. The proposed solution enhances platform security and user trust while reducing the manual effort required for moderation. The results demonstrate promising accuracy, indicating the model's effectiveness in real-world applications.

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Fake Profile Detection Social Media Security Machine Learning Online Fraud Detection Identity Theft Prevention Misinformation Control

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ABSTRACT Premium pricing has grown increasingly popular among brands as a means of creating products that stand out from the crowd and separate them from other similar products already on the market. This marketing tool has gained significant prominence in the fields of marketing research and international marketing. As a result, charging a greater price to attract customers with higher income levels has emerged as an effective marketing tool. According to the study's objectives, consumer attitude should be evaluated, with a particular emphasis on adopting pricing strategies for online products. A descriptive research design was used in this study, which included 191 online customers from Chennai. The findings of the study revealed that respondents' income, brand image, and brand association are the significant determinants that influence consumers' attitude when it comes to the purchase of premium brands, and that these factors play a role in consumers' decision-making and that they always take these factors into consideration.

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Keywords: Premium Pricing, Online Customers, Brand Image, Elite-Customers, Customer Attitude.

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The film Cinderella is one of the most beloved fairy tales, captivating children across all age groups and cultures. This study examines the evolution of the female protagonist, Cinderella, in the context of gender identity and roles. It is mainly focusing on sequels produced by Walt Disney. Although, the extensive research has been done on the stereotypical portrayal of Cinderella and it's various adaptations but, there is a notable gap in comparative analyses that track the character's development of Cinderella over the time period 1950-2007. The method of research is Critical Discourse Analysis (CDA). This research utilizes politeness theory and conversation analysis to investigate three key sequels: "Cinderella," "Cinderella: Dreams Come True", and "Cinderella: A Twist in Time". The research findings reveal an important transformation in Cinderella's character, showing a progression from traditional, submissive roles to a self-determined, empowered, and independent individual. Cinderella challenges stereotypes and inspires viewers to reconsider their own beliefs about gender. This shift not only enriches the narrative but, also reflects and contributes to broader societal changes in attitudes towards gender equality and empowerment.

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Cinderella, Sequels, CDA, Politeness, Gender, Evolution

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Pakshaghat, derived from the Sanskrit words "Paksha" (one half of the body) and "Aghata" (affliction or injury), is a neurological disorder characterized by paralysis of one side of the body, typically resulting from a cerebrovascular accident (CVA) or stroke. It is classified under Vata Vyadhi in Ayurvedic literature due to the predominance of vitiated Vata dosha, which governs all neurological and motor functions in the body. Pakshaghat not only presents as a major motor disability but also significantly impairs the individual's quality of life, social functioning, and mental health. Pakshaghat is one of the Nanatmaja Vata Vyadhis presenting with paralysis of one side of the body. It closely corresponds to hemiplegia due to ischemic Cerebrovascular Accident (CVA) in modern medicine. From the Ayurvedic perspective, such neurological deficits are linked with deranged Vata involving Majjavaha and Rasavaha Srotas. Management emphasizes Panchakarma, Rasayana, and Brihmana chikitsa. In the modern medical context, stroke is a sudden loss of brain function caused by either ischemia (blockage of a cerebral artery) or hemorrhage (rupture of a blood vessel). The most common cause of hemiplegia is ischemic stroke, typically affecting the middle cerebral artery (MCA) territory, which supplies a major portion of the cerebral cortex responsible for motor control. The result is often unilateral paralysis, speech impairment (aphasia if the dominant hemisphere is involved), facial asymmetry, sensory loss, and other associated neurological deficits.

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Pakshaghat, Cerebrovascular Accident, Hemiplegia, Panchakarma, Basti, Rasayana, Ayurveda,Vata Vyadhi

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Abstract This study aims to examine the efficacy of the Jacobson's Progressive Muscle Relaxation (JPMR) intervention in reducing test anxiety among college students and to explore the influence of demographic variables on the outcomes. Test anxiety was assessed using the Test Anxiety Scale developed by Senthil and Kadhivaran (2017). The research design included two groups: an experimental group that received the JPMR intervention and a control group. Paired Comparison Statistical techniques were used to analyze the data. The results indicated that the JPMR intervention significantly reduced test anxiety in the experimental group compared to the control group. Demographic variables, such as gender were found to influence anxiety levels, with female students reporting higher levels of test anxiety than males. These findings suggest that JPMR is an effective method for alleviating test anxiety, and demographic factors should be considered when designing interventions for anxiety management in academic settings.

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College Students, Experimental Group, JPMR, Test Anxiety

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Right to Die, also known as the right to death, raises questions about sanctity of life, individual autonomy and the role of the state in determining the fate of its citizens. Arguments in favor of the right to die often center on the principles of individual autonomy and bodily integrity whereas opponents of the right to die often argue that it is morally wrong to intentionally end a human life, regardless of the circumstances. The terminology surrounding this right is diverse, including physician assisted suicide, euthanasia, medical aid in dying, and death with dignity, each with specific legal and ethical implications. This research paper examines the ethical and legal complexities surrounding the "right to Die", specifically focusing on the concept of individual autonomy and the extent to which individuals should have the right to make end-of-life decisions, including physician assisted suicide and voluntary Euthanasia. It explores the arguments for and against these practices. It also analysis the legal and societal implications of recognizing a right to Die.

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Right to Die, Individual Autonomy, Euthanasia, Physician-Assisted Suicide, Medical Aid in Dying, Death with Dignity

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This review data suggests that type 2 diabetes mellitus (T2DM) can contribute significantly to the onset or progression of Alzheimer's disease (AD) either directly or as a cofactor. Clinical studies have provided evidence that T2DM is a major risk factor in the pathology of AD [1]. Insulin has multiple important functions in the brain. Some basic research, however, suggests that insulin accelerates Alzheimer-related pathology through its effects on the amyloid beta (A?) metabolism [2]. In this review, we give a brief introduction to T2D and AD and then describe the risk factors and molecules that are commonly associated with these diseases[4], several potential mechanisms underlying diabetes-induced cognitive impairment which include, abnormal insulin signaling, amyloid-? accumulation, oxidative stress, immuno-inflammation, mitochondrial dysfunction, advanced glycation end products, acetylcholinesterase and butyrylcholinesterase, advanced lipid peroxidation products, and apolipoprotein E. Also discussed diagnosis and treatment approach of Alzheimer's disease by controlling T2DM. All these interconnected mechanisms may act either individually or synergistically which eventually leads to neurodegeneration and AD [3].

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Alzheimer's disease, amyloid beta(A?), insulin resistance, oxidative stress, type 2 diabetes mellitus(T2DM).

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Kirti Narayan Mandal, often honored as Mahamana, is a towering figure in the educational history of Bihar, particularly the Kosi region. His unparalleled dedication to advancing higher education transformed one of India's most backward regions into a vibrant center of learning. Unlike many contemporaries, Kirti Narayan Mandal donated his personal land and wealth, establishing over three dozen educational institutions across seven districts. This research article explores his life, philosophical evolution, and monumental contribution to higher education. His legacy, comparable to national figures like Pandit Madan Mohan Malviya, remains foundational for contemporary educational discourse in rural India.

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Kirti Narayan Mandal, Kosi region, higher education, philanthropy, rural development, Bihar, Thakur Prasad College, educational reform, Indian philanthropists.

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DeepMalware is a deep learning-based system for automated malware classification using grayscale images generated from binary executable files. Leveraging advanced neural network architectures like Xception, it analyzes structural patterns in malware images to accurately identify and classify malware families. The system incorporates Focal Loss and Test-Time Augmentation (TTA) to address class imbalance and enhance prediction robustness. Designed for cybersecurity applications, DeepMalware provides a fast, scalable, and reliable method for malware detection, eliminating the need for manual feature extraction and enabling efficient threat analysis through visual data representation.

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Deep Learning, Convolutional Neural Networks (CNN), Xception Model, Malware Classification, Focal Loss, TensorFlow, Cybersecurity

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Aromatase inhibitors, bone mineral density, breast malignancy, postmenopausal women, T-score

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Abstract: Crop diversification refers to a shift from the regional dominance of one crop to the regional production of several crops. In Chamarajanagar district, the degree of diversification exhibits large disparities among different regions. In this context, this study is aimed at computing the growth rate in area, production, and productivity of selected crop groups in study area and analyzing crop diversification at the taluka level by computing the crop diversification index for all the taluks. The data used for the estimation of the taluk-wise food crop diversification index were collected from the land-use statistics, M.S. Building Bangalore. We estimated the crop diversification index using the triennium average of food crops area ending for the year 2020-21. The Gibbs and Martin Index of Diversification values as well as growth rate indicated that there is high crop diversification in the north east and central regions of Chamarajanagar district whereas, Southeast and west regions showed low diversification due to the system of Mono cropping and crop specialization prevailing in the same region.

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Keywords: - Crop Diversification, Gibbs and Martin Index of Diversification, Growth Rate, Chamarajanagar District.

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Covid -19 Mahamari Ke Pehele, Dauran Aur Mahamari Ke Bad Logo Me Kitchen Garden Ke Prati Gyan,Drushitikon Aur Abhiyash Ki Sthithi Ka Adhayan

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Covid -19 Mahamari Ke Pehele, Dauran Aur Mahamari Ke Bad Logo Me Kitchen Garden Ke Prati Gyan,Drushitikon Aur Abhiyash Ki Sthithi Ka Adhayan

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The increasing preference fo r herb al and natural produc ts in perso nal c are has driven interest in the develo pm ent of herb al alternatives to synthetic sham p oos, w hich o ften c ontain harsh chem ic als linked to sc alp irritatio n, hair d am age, and environm ental c oncerns. This study w as undertaken to prepare and evaluate a po lyherbal sham p oo po w d er using selec ted m edic inal plants traditionally kno w n fo r their hair c leansing , co nditioning , and antim icro bial p rop erties. The p rim ary aim w as to d evelop a safe, effective, and eco -friendly form ulation w ith m inim al or no side effec ts, catering to the gro w ing dem and for natural hair c are so lutions. In this form ulatio n, The D rug Includ es O live Leaves, H ib iscus Flow er, m ethi, Ritha, C urry Leaves, Po m egranate P eel, P epperm int, Shikakai. The herb s w ere selected based on their ind iv idual and synergistic benefits for scalp and hair health, suc h as natural c leansing ability, antifungal and antibac terial effec ts, preventio n of dand ruff, streng thening o f hair roo ts, and p rom o tio n of hair g row th. E ach ing redient w as d ried , pow dered , and sieved to ac hieve a fine and uniform co nsistenc y, fo llo w ed by blending in optim ized p rop ortions to ob tain the final po lyherbal sham p oo po w d er.The prepared fo rm ulation w as sub jected to co m prehensive phy sic ochem ical and perform anc e evaluatio ns, including organoleptic prop erties (c olour, o do ur, texture), pH determ ination, foam ing ability, fo am retentio n, w etting tim e, dirt dispersio n, and c leansing efficienc y. T hese param eters are c ritic al in assessing Results revealed that the p olyherbal sham po o p ow der p ossessed desirab le physical characteristics and produced adequate foam ing upon application with water. The pH of the form ulation w as w ithin the id eal rang e fo r scalp use (betw een 5.5 and 6.5), ind ic ating m ildness and com patib ility w ith hum an sk in. It show ed effic ient c leansing ability by effectively rem ov ing dirt and o il w ithout leaving resid ues. reflecting the form ulation ' s g ood spread ability and ease of app lication. N o m icro bial c ontam ination w as d etected , and the p ow der rem ained stab le o ver the ob servation p eriod w itho ut sig ns of physical or chem ic al deg radation. O verall, the polyherbal sham po o p ow der develop ed in this study offers a prom ising alternative to co nventional sham po os. It pro vid es a natural and safe app roac h to hair c leansing and c are w itho ut the risk s assoc iated w ith synthetic add itives such as sulfates, parabens, and artificial fragranc es. M oreo ver, its prep aratio n is sim ple, co st-effective, and sustainable, m ak ing it suitable fo r b oth household use and p otential co m m ercial develop m ent. T he results enco urage further research into stand ardizatio n, long-term stability, and user acc eptab ility , as w ell as clinic al studies to validate its therapeutic efficacy for various scalp and hair conditions.

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Polyherbal shampoo powder: O live leaves, H ibiscus, Fenug reek , Ritha, sikakai Pom eg ranate Pep perm int, Curry leaves, easy rinsing , No damage to hairs.

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 Abstract

Additive Manufacturing (AM) has rapidly evolved as a transformative technology, enabling the production of complex, high- performance materials that exhibit superior mechanical and tribological properties. Among the materials benefiting from this advancement is AlSi10Mg, an aluminium-silicon-magnesium alloy. AlSi10Mg has gained notable attention in industries like aerospace and automotive due to its excellent strength-to-weight ratio, high thermal conductivity, and robust wear resistance. These properties make it particularly suitable for lightweight, high-stress applications. This review consolidates state-of-the-art research on AlSi10Mg, specifically focusing on components produced through Direct metal laser sintering process (DMLS), a prominent AM technique. DMLS enables precise control over the materials microstructure and properties by melting and fusing powdered material layer-by-layer using a high-energy laser. The review delves into the influence of various DMLS processing parameters, play a crucial role in influencing the alloy's density, porosity, and internal stress, ultimately affecting its mechanical performance. Additionally, the review examines post-processing treatments enhancing AlSi10Mg's strength, ductility, and fatigue resistance. Furthermore, the impact of these treatments on the alloy's microstructure, particularly the distribution and morphology of silicon phases within the aluminium matrix, is critically discussed, as they influence wear resistance and hardness.

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DMLS, AlSi10Mg

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Social media has become an integral part of modern childhood, offering both opportunities and challenges. While platforms like Instagram, YouTube, can promote creativity, learning, and social interaction, their excessive or unsupervised use may negatively impact children's mental health, academic performance, and social development. Studies have linked high social media usage with issues such as anxiety, , sleep disruption, and reduced attention spans. This abstract explores the dual-edged nature of social media, emphasizing the need for parental guidance, digital literacy, and balanced screen time to ensure a positive and safe online experience for children.

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120

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As organizations increasingly prioritize environmental sustainability, they are incorporating Green Human Resource Management (GHRM) practices to create a eco-friendlier and responsible work culture. These practices aim to not only reduce the environmental impact of businesses but also enhance employee engagement, motivation, and overall performance. This study examines the influence of GHRM on employee performance within the Satna region by analysing various environmentally friendly HR policies, including green recruitment, sustainable training programs, performance evaluation based on environmental contributions, and active employee involvement in sustainability initiatives. To gain comprehensive insights, this research employs a mixed-method approach, collecting data from employees of HDFC Bank in the Satna region. The findings will indicate that the adoption of GHRM practices significantly contributes to increasing employee motivation, job satisfaction, and work efficiency. By fostering a culture of environmental responsibility and strengthening employees' commitment to their organizations, GHRM not only benefits individual performance but also promotes long-term organizational success. Furthermore, this study provides valuable insights for HR professionals, business leaders, and policymakers, emphasizing the need to integrate sustainable HR strategies within corporate frameworks. By doing so, organizations can improve employee well-being, enhance productivity, and contribute to environmental conservation. The research highlights the importance of aligning business goals with sustainability efforts, ultimately paving the way for a more responsible and successful future. Expected outcome: Green Human Resource Management (GHRM) practices will have a positive impact on employee performance at HDFC Bank in the Satna region. When companies use eco-friendly methods like green recruitment, training on sustainability, and evaluating employees based on their environmental contributions, it makes employees feel more motivated and connected to their work. For example, if HDFC Bank provides training on saving energy or reducing paper waste, employees may feel proud to be part of a responsible organization. This can lead to better job satisfaction, increased efficiency, and stronger commitment to the company. Employees who take part in green initiatives are more likely to perform better and stay loyal to the company. The study is also expected to help HR managers and business leaders understand how green practices can improve both employee well-being and business success, while also supporting environmental protection goals.

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Green HRM, Sustainability, Employee Performance

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The growth in technology has explored many investment options for individuals to invest their savings in various financial platforms to earn extra returns on them. The youth adults however lack financial literacy and portfolio management skills, hence to increase financial awareness their primary source of information turns out to be their social circles, financial influencers, social media, etc. The objective of the research study is to analyse the impact of finfluencers and the role of factors which influenced the investment decisions of individuals while investing their savings in securities and stock market. The study also investigates the satisfaction level among the respondents post considering the suggestions provided by finfluencers through their content posted by them in different platforms. Survey approach was adopted to collect primary data by sending questionnaire to respondents. The study uses frequency tables and graphs to represent the data collected from the respondents and provide conclusions post summarizing and testing the data gathered by respondents using chi-square test and Kruskal Wallis h-test. After analysing the data collected, it was concluded that although a majority number of respondents did not followed finfluencers actively on various social media platforms still, they considered their recommendations to conclude their investment decisions. The study also revealed that the advice provided by finfluencers motivated the respondents to learn more about different investment options and schemes which are available to them and better understand the working of financial markets and structures.

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Investment Decision, Finfluencers, Investment Behavior, Finfluencers' Impact.

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In Digital Forensic investigations, the familiar of Internet of Things (IoT) devices creates special difficulties. Although these appliances enhance speed and utility, they also present security holes that hackers could take advantage of. Collecting, Analyzing, and Preserving digital evidence from IoT environments is the aim of IoT forensics. In order to improve digital investigations in smart ecosystems, this article offers future research areas and provides an overview of current methods, tools, and the primary challenges in IoT forensics.

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IoT forensics, digital evidence, cybersecurity, data acquisition, smart devices, network analysis.

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Mughal art, renowned for its fusion of Persian, Central Asian, and Indian aesthetics, has left a profound and enduring mark on India's visual and material culture--particularly in the realm of fashion. The elaborate ornamentation, signature motifs, luxurious textiles, and elegant silhouettes rooted in the Mughal period continue to inspire contemporary fashion designers. Miniature paintings from the Mughal era depict scenes from court life, mythological tales, and intricate floral motifs, all of which find resonance in modern attire.This paper explores the sustained relevance of Mughal art in Indian fashion, tracing its origins, colonial disruptions, revivalist movements post-independence, and its contemporary reimagining by modern designers. Through visual and cultural analysis, case studies, and documentation of heritage craft clusters, this research underscores the importance of preserving Mughal influence as both a creative reservoir and a cultural identity marker. The study also advocates for its inclusion in design education and its positioning within sustainable fashion frameworks.

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Mughal art, Indian fashion, Mughal aesthetics, traditional textiles, heritage fashion, embroidery crafts, cultural influence, sustainable fashion, design revival, fashion history, intellectual property rights, Mughal motifs, craft clusters, design education, Indian couture, miniature paintings, slow fashion, royal attire, textile traditions, contemporary Indian designers.

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Duckweed, a small, fast-growing aquatic plant, is gaining attention as a sustainable and nutrient-rich source of protein. Owing to its high protein content and rapid biomass accumulation, duckweed holds significant potential in addressing global protein demands. This review presents a comprehensive overview of current protein extraction methods from duckweed, including mechanical disruption, enzymatic hydrolysis, solvent extraction, and novel green technologies such as ultrasound- and microwave-assisted extraction. The efficiency, scalability, and impact of each method on protein yield, purity, and functionality are critically analyzed. Furthermore, the review explores the diverse applications of duckweed protein across food, animal feed, nutraceuticals, and biotechnological sectors. Special attention is given to the nutritional profile, digestibility, and functional properties of duckweed-derived proteins. Challenges in large-scale processing, standardization, and regulatory approval are also discussed. Overall, this paper aims to highlight the promising role of duckweed protein in sustainable development and future food systems, while identifying key areas for further research and innovation.

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Duckweed, Duckweed Protein, Protein Extraction Methods, Application

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