Volume 11 | Issue 9

 Abstract

The rapid proliferation of social media platforms has ushered in a new era of political communication, fundamentally transforming the dynamics of ideological discourse and contributing to the rise of political polarization. This research paper examines the intricate relationship between social media and political polarization, shedding light on how these digital spaces have become breeding grounds for ideological division.The paper delves into the evolution of political communication, tracing the transition from traditional media to the digital realm. It highlights the distinctive features of social media, such as algorithmic curation and personalized content delivery, which play a pivotal role in shaping users' information consumption patterns. Through the lens of cognitive psychology, the paper elucidates how confirmation bias, selective exposure, and cognitive dissonance interact with social media dynamics, reinforcing preexisting beliefs and perpetuating ideological polarization.Moreover, the study scrutinizes the amplification of extremism within social media ecosystems. Drawing from case studies and examples, it demonstrates how these platforms have been exploited to magnify polarized viewpoints, enabling the rapid dissemination of disinformation and fostering echo chambers that isolate users from alternative perspectives. The emergence of online communities centered around identity politics further exacerbates the issue, as individuals are drawn into ideological bubbles that reinforce their sense of belonging and shared beliefs.While the negative ramifications of social media-induced polarization are explored, the paper also acknowledges the positive aspects, such as its role in political mobilization and activism. It examines instances where social media has empowered marginalized voices, effectively challenging established power structures. Additionally, the study investigates potential strategies to mitigate the adverse effects of polarization, including media literacy initiatives, platform regulations, and efforts to promote constructive online dialogue.As society grapples with the implications of these developments, the paper concludes by outlining future trends and potential pathways forward. It emphasizes the need for a balanced approach to digital engagement, highlighting the importance of informed consumption, critical thinking, and responsible online citizenship in countering the corrosive effects of political polarization. By comprehensively examining the nexus of social media and ideological division, this paper contributes to a nuanced understanding of the challenges and opportunities that lie at the intersection of technology and politics.

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 Keywords

Social media,Political polarization,Ideological division,Digital communication,Echo chambers,Filter bubbles,Confirmation bias,Cognitive psychology,Extremism,Disinformation,Online communities,Identity politics,Media literacy,Algorithmic curation,Selective exposure,Political activism,Online dialogue,Digital citizenship,Media effects,Social network analysis

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An enhanced method has been proposed in this work to detect different face angles of the same individual and the ability to recognize them correctly within appreciable amount of time is being presented. Image enhancement is an important part of facial recognition. In this work, Histogram Equalization is employed to adjust the image intensity and enhance the contrast. Feature extraction is a significant step to detect and subsequently recognize the face. To extract more productive features from these static images, this work recommends an algorithm based on the concatenation of the Modified Pixel Difference Value (MPDV) and Two Power Term features. MPDV is a modified version of PDV where due to immense pixel preservation the information in the image is highly conserved. Since the Two Power Term follows a pattern that is uniformly growing it increases the information of the pixels by a great amount that helps in obtaining efficient features to be compared. To generate a row vector, the features are concatenated from above two techniques, which are restructured into a column vector. Utilizing Euclidean distance column vectors of all the images from the database are compared against the column vectors of the test image. To perceive the individual minimum distance between the specific image and the location of the image in the database is obtained.

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Biometrics, Physiological traits, Face Recognition, Arithmetic Computation, ED

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The little Indian plant, known as Elephantopus scaber Linn., is from the Asteraceae family. Although "Elephant's Foot" is the most frequent English name for Elephantopusscaber, the scientific term "Elephantopusscaber" is more Elephant's Foot, also known as Prickly-leaves or Rough-leaves. Traditional medicine has long relied on this plant's components to cure a wide range of illnesses. The principal chemical classes found by biochemical analysis include phenolic acids, terpenoids, flavonoids, coumarines, essential oils,and quinones. Deoxyelephantopin, which is found in high concentrations in this plant, has been the focus of rigorous screening and confirmation of its anticancer potential. Various study publications have documented a broad range of other biological properties, like antibacterial, antidiarrheal, diuretic, wound healing ability, antioxidant, antidiabetic, anti-inflammatory, analgesic, anti-asthmatic, antiplatelet, and so on.The main purpose of the review is to assess thetraditional uses, biochemical constituents, biochemical and physiological effects and bioactivities of Elephantopusscaber L. growing in India.

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Elephantopus scaber L., India, biochemical compounds, bioactivities

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The comprehensive overview of the National Education Policy (NEP) 2020 in India and its transformative impact on teacher education highlights the NEP's visionary approach to holistic education, professionalization of teacher training, integration of technology, and emphasis on inclusivity and diversity. The NEP's goal of producing well-rounded educators equipped to meet the challenges of the 21st century is clearly articulated. This article outlines the challenges that teachers may encounter within the NEP framework. These challenges range from mastering the comprehensive curriculum to teacher selection, curriculum concerns, competency of teacher training programs, and effective utilization of technology. It also addresses issues related to teacher isolation, neglect of co-curricular activities, and the need to balance global perspectives with core values. This articles tried to discusses the benefits that the NEP 2020 system offers for teachers. It underscores the policy's focus on holistic academic development, teaching in mother tongues, bridging the digital divide, improving teacher-student relationships, government accountability, and teachers' role in shaping the future of the nation. Overall, this comprehensive discourse sets the stage for a detailed exploration of the specific reforms and initiatives outlined in the NEP 2020. It highlights the importance of teachers in the transformation of India's educational landscape and how the NEP aims to empower them to drive positive changes in the system. This introduction effectively conveys the significance of the NEP 2020 in reshaping teacher education and fostering a brighter future for India's youth.

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NEP 2020, Teacher Education, Teachers' Role

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Attacks through phishing continue to be an ample supply of fear on the subject of cybersecurity, considering that they could have affected businesses, and online planning mild of the fact that cybercriminals are constantly refining their methods, producing dependable phishing detection gear and approaches are necessary to combat those risks effectively This paper seeks to evaluate the contemporary kingdom of the art in phishing detection, highlighting current upgrades and the performance with which they were carried out. The studies investigate several methods: device mastering, natural language processing, anomaly detection, and behavioural analysis. In addition to this, it examines the many features, datasets, and evaluation standards that are used in phishing detection software. This evaluation highlights present-day tendencies, issues, and capability future directions for increasing the accuracy and efficiency of phishing detection structures. Specifically, the assessment specializes in improving the performance of phishing detection systems.

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Phishing detection, Cybersecurity,Machine learning, Natural language processing, Anomaly detection

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Most applications, including e-commerce, online banking, the military, satellite and wireless communications, electronic devices and appliances, etc., consider data security to be a major factor and give it significant weight. By transforming the data into a format that is difficult for unneeded people to understand, cryptography is a technique used to keep data secure and private. This method offers a reliable, affordable means of protecting our data secrecy and aids in data integrity verification. The side channel attacks that cryptography is subject to make it difficult to provide error-free data. The proposed AES accelerator improves the horizontal (temporal) SCA hiding of asynchronous logic operations using a timing-boundary-free input arrival time randomizer and a skewed-delay controller while achieving vertical (amplitude) SCA hiding via an area-efficient dual-rail mapping approach and a ZV compensated substitution-box (S-Box). Additionally, a chaotic sequence is used in between each step of the cypher text generation process. As a result, the design will reduce the area overhead, offer strong defence against side channel attacks, and increase the system dependability. The proposed design is implemented in Xilinx Vivado 2018.3, and final result of the simulation are used to validate the output

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FPGA, Side Channel Attack(SCA), Advance Encryption System(AES), Xilinx Vivado 18.3.

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The principal of the study was to know the Kokborok drama among the tribal community of Tripura. Here, information was collected from different places of Tripura and different books from different famous author of Tripuri community. Though in the beginning the perform of drama where limited to the royal compound, in course of time it came out of the royal compound and mass people began joint it.

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Drama, Kokborok, Tribal, Tripura

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Abstract The family environment is the most important social context for modelling behaviour and the study of parenting styles is relevant for comprehending the socialization process and the developmental outcome of adolescents. The current study aims to examine whether maternal and paternal parenting styles vary based on the gender of adolescents. The study also determines the most conventional parenting style employed by mothers and fathers while rearing their adolescents. A descriptive research design was followed to study the objectives. The sample was collected using a convenient sampling method, consisting of 120 students, of which 60 were males, and 60 were female participants studying in class 9th and 10th schools of Aligarh. To achieve the objectives of the study, the Parental Authority Questionnaire (Buri, 1991) was used. The result showed that the authoritative parenting style of mothers and fathers was the most prevalent style perceived by adolescents, followed by permissive and authoritarian parenting styles. The result also found no significant gender difference in adolescents in the three parenting styles. It can be concluded that the parents need to adopt an authoritative parenting style, which is the most effective one and results in several favourable developmental outcomes for adolescents. Moreover, the result also signifies that parents are adopting similar parenting styles regardless of their adolescents' gender.

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Keywords: maternal parenting style, paternal parenting style, adolescents, gender

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Development in environmentally friendly development owing to hazardous metal contamination is severely hampered. Arguably the most harmful elements to plants and human beings is cadmium (Cd). Cd represents a key contributor to the overall degradation of the environment. It may be found in both naturally occurring and man-made substances. "Phytoremediation" the employment of plants to remove such toxins from the environment proves to be a potential substitute for the existing remediation techniques. The Parthenium hyterophorus L. represents one such unique plant. The species is recommended for the reason of its quick spread throughout India as well as the rest of the world plus its inedibility by herbivore. Given the foregoing, the research objective of the study was to demonstrate phytoremediation potential of Parthenium hyterophorus L. in Cd contaminated soils employing pot experiments. During the pot experiment, four different concentrations of cadmium (5, 10, 15, and 20 mg/kg) have been established. At the 30th, 60th, and 90th harvested days following the treatment, sample were taken to determine the plant's potential for phytoremediation. The results indicated that cadmium stress diminished development (root and shoot lengths) and biomass variables, and that cadmium hyperaccumulator ability was evident based on the bioaccumulation coefficient (BAC), bioconcentration factor (BCF), and translocation factor (TF). As a result, it can be said that Parthenium hyterophorus L.is capable of handling cadmium contamination effectively and serves as a vitally significant and economically advantageous measure for sustainable and environmental preservation.

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Cadmium chloride, Biochemistry, Parthenium hyterophorus L., Phytoremediation

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Article explores the intricate web of social and economic factors that shape the lives of marginalized communities in India. It delves into the historical roots of marginalization, the multifaceted challenges faced by these communities, and the policies and initiatives aimed at ameliorating their conditions. Through a multidisciplinary approach, this article seeks to shed light on the complex dynamics that continue to affect the social and economic status of marginalized groups in one of the world's most diverse nations.

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Marginalized Communities, India Social Status, Economic Status, Discrimination Caste System, Reservation Policy, Poverty, Inequality, Development, Human Rights

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 Abstract

?????? ?????????? ?? ????? ?????? ??? ?? ?????? ?? ?? ?? ??????? ????????? ???? ?? ????? ?????? ?? ???? ??? ???? ???? ?? ???? ??? ?????? ?????? ?? ?????? ?? ?????? ?? ??? ?? ????????? ????? ??? ?? ????? ?? ??? ????? ?? ??? ???? ????? ????? ?? ???? ???? ????? ???? ??????? ?? ?????????? ?? ?????????? ?? ??? ?? ??? ??? ????? ??? ?? ?????????? ?? ???? ????? ?? ?? ?????? ???? ??? ?? ???? ??? ?? ?? ????? ??? ???? ??? ????? ????? ???????? ??? ?? ??????? ?????? ?? ??????? ??? ???? ??? ?? ?????? ????????? ?? ?? ????? ??? ???? ?????? ??. ???????? ?????? ?? ??? ???? ??? ????? ?????? ?????????? ??????? ?? ????? ???????? ?? ?????? ???? ?? ????? ?????????? ???????? ?? ????? ???? ??? ??????? ?????? ?? ????? ???? ????? ??? ????? ??? ?? ?? ???? ?????? ??? ??? ?? ????? ???? ?????????? ?? ?????? ?????? ?? ?? ???????? ??????? ?? ???? ??? ?? ????? ?????? ?? ??? ???? ??? ?????? ?? ??? ????? ??? ?? ???? ?????????? ??????? ?? ?????????? ?? ??? ?? ?????? ???????? ???????? ??? ???? ?????? ?? ???? ??? ??? ?????, ????????? ?????? ???????? ?????? ??? ??????? ?? ???

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?????? ???????, ???????? ????, ???? ?? ??????????, ???????? ??????

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This research explores the feasibility of automatically generating features that are not only interpretable at a human level but also align with human intuition. To achieve this, we harness the power of recursive algorithms, specifically Deep Feature Synthesis (DFS), which empowers us to craft intricate and meaningful features from raw data. In this study, we demonstrate how DFS can be adapted to accommodate novel mathematical operations, offering a flexible framework for feature engineering. By selecting suitable abstractions, we enhance the capability of DFS to generate features that resonate with human understanding, thereby bridging the gap between machine-generated insights and human intuition. This approach holds significant promise for advancing the field of automated feature extraction and interpretation, with potential applications in various domains, including machine learning, data analysis, and decision support systems. This abstract delves into the potential of DFS and its adaptability, shedding light on its capacity to bridge the gap between machine-driven data transformations and human understanding, ultimately enhancing the transparency and interpretability of complex data-driven systems.

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Deep Feature Synthesis Algorithm, Incorporate, Automatically

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Abstract Amalvetas ( Hippophae rhamnoides) , a small deciduous tree belongs to Elaeagnaceae family .Aacharya charak encovers amalvetas under Deepaniya, Hridya, Shavashara mahakashaya while Aacharya shushrut encovers it in Amal skandha and Amal panchak. It is recommended for the treatment of wounds and ulcers by using its bark paste , while fruit juice is prescribed in lungs complaints and tuberculosis. It pacifies kapha and vata doshas . Medicinally it has various pharmacological activities like anti herpes simplex , anti inflammatory, anti microbial , anti coagulant, anti cancer. Amalvetas is also employed as an Agni Deepak, Malabhedhak, Pittajanak, Gulmahara, Aruchihara, Hikkahara. The main aim of this article is to remove the controversy over this plant on the basis of their correct basis for identification with the subject " Secret of Ayurvedic Dravyas as a Vital Energy Medicine - A critical study of popular traditional medicine - Amalvetas ( Hippophae rhamnoides)

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Amalvetas, Hippophae rhamnoides, Controversial plant,

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Adultery is defined as a consensual extramarital sexual relationship that is viewed negatively on social, religious, moral, and/or earlier legal grounds. Since one can remember, sexual infidelity to one's spouse has been a widespread occurrence in human culture. Why is it so hard for us to be faithful to our spouses as humans? Although adultery is no longer a crime, it is still considered delinquent behavior because it goes against the social expectations that one is supposed to uphold. Throughout the last 158 years, it has been considered a crime, but since the Supreme Court's decision in Joseph Shine v. Union of India, adultery has been decriminalized and reduced to a civil wrong rather than a crime. This section gave husbands the authority to bring charges against their wives' adulterers while denying spouses the ability to file complaints against their husbands' adulteresses. To make section 497 gender-neutral the penalty was removed and was made only a civil wrong and not a penal offense. But, in vain this amendment could not bring a true sense of justice and morality. Letting go of infidelity unpunished results in a dysfunctional family structure. The partners and any children the couple may have may suffer long-term effects from infidelity. Children born out of such illicit relations do not have any legal recognition the society, and neither can claim any formal or legal right from their biological father or mother. Therefore, in the above context, the children are the ones who suffer the most in such situations. Prior to this, there have been many suggestions here to fore under various law commission reports to make the offense of infidelity gender-neutral by punishing the women who are equally involved in the act of infidelity. The forty-second Law Commission report in 1971 and Justice Malimath Committee in 2003 suggested the same but these suggestions were never implemented.

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adultery, infidelity, Supreme Court, India, criminal,

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According to the Sustainable Development Goal 3 (SDG), Universal Health Coverage (UHC) aims to guarantee that everyone, everywhere should have access to healthcare without facing any financial hardships . Health was listed as a basic human right in Article 25 of the 1948 Universal Declaration of Human Rights, and it was reaffirmed in Article 12 of the 1966 International Covenant on Economic, Social, and Cultural Rights . As it recognizes health as a fundamental right under Article 21 of its constitution, India's commitment to UHC and SDG 3 aims to ensure the same . However, the issue of affordable healthcare in India is still debatable due to numerous shortcomings, including a lack of facilities, equipment, high-quality services, and an unbalanced doctor-to-patient ratio. People frequently move from one location to another, primarily from rural to urban cities, in search of better medical care. According to data from the 65th National Sample Survey Organization report, rural Indians make at least 86% of all medical trips . Additionally, more than 60% of rural residents travel outside of their home states for major disease medical treatment . By using travel accounts of patient from nearby states to the All India Institute of Medical Science (AIIMS) in New Delhi, the study seeks to explore and analyse the factors that affect getting access to healthcare. Over the years, AIIMS has established a prestigious reputation in the field of medicine thanks to its super speciality facility and exceptional services. The hospital receives patients from all over the nation for medical care. The journey of various respondents from various states seeking better medical care at AIIMs New Delhi was documented by the study. The researcher has also suggested a course of action for resolving the problems raised with India's healthcare accessibility at the conclusion of the study. The current study is part of the researcher's ongoing Doctoral Program (PhD).

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Accessibility, Concerns, Determinants, Health, Healthcare, Medical Treatment, Medical Trip

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Healthy youth development depends on good mental health, which also paves the way for better mental health and well-being in later years. The current study aimed to investigate the relationship between stress, anxiety, depression, and loneliness in young adults and their impact on psychological well-being. A sample of 200 young adults between the ages of 17 and 25 was recruited from a university setting. Participants completed self-reported measures of stress, anxiety, depression, loneliness, and psychological well-being, including DASS-21 by Lovibond & Lovibond (1995 ), UCLA loneliness by Russell, Peplau, & Ferguson (1978), and the Psychological Well-Being Scale by Ryff (2007). Results indicated that higher levels of stress, anxiety, depression, and loneliness were significantly associated with lower levels of psychological well-being. These findings highlight the importance of addressing mental health concerns in young adults, as they can have a significant impact on overall well-being. The results of this study have implications for the interventions and support programs for young adults to promote positive mental health and well-being.

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mental health, well-being, loneliness, stress, anxiety, depression, young adult

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The education of political interest is crucial for every individual to be given to the students for national integration. The knowledge of political interest is essential in the democratic government for creating a healthy environment in the society. Hence, the present study aimed to find the political interest among tribal students of general degree college in Tripura. A sample consists of 120 general degree college students selected through simple random technique. The data were collected with a valid and reliable tool. In this present study mean, standard deviation and t-test were used to analyse the data. The findings of the study show that most of the students were moderate and had a low interest in politics. This study result revealed that there is no significant difference between male and female tribal students. Further, findings indicate that political interest of tribal students of urban and rural areas do not significantly differ.

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College Students, Political Interest, Tribal, Tripura

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A three-phase Photovoltaic (PV) plant with grid-connected output that uses the Incremental Conductance Method and Maximum Power Point Tracking (MPPT). Due to interactions between different semiconductors and variable loads, the input source contains harmonic distortion, voltage sags and swell, and other power quality problems in the previous convolutional method. The proposed method having dual Photovoltaic (P.V) based ANN (Artificial Neural Network) system for improving the delivery of as much power into the grid as possible without sacrificing power quality. A PV module converts solar energy into electricity. Fixed collectors and tracked collectors are the two most common types of solar collecting. Partial shade problems and other unbalanced elements that typically impact PV arrays are addressed by the incremental conductance technique-based MPPT technology. The setup uses two PV panels and is built in series, with each PV cell having identical properties. The relationship between this PV array and various irradiation patterns may be utilized to forecast the PV array in question. The Artificial Neural Network technique is a suggested method for decreasing the Total Harmonic Distortion (THD) for improving convergence and accuracy rates. Simulated output analyzed such proposed strategies have a great efficiency moreover a high response time with excellent precision.

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DC-DC converter, DC-DC Inverter, Low Pass Filter, Battery, MPPT, Artificial Neural Network

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The gravity and magnetic data along the profile across the southern part of the Krishna Godavari-Basin have been collected and the data is interpreted for basement depths. The profile II1is taken from Kotturu to Biyyapuppa covering a distance of 70 km .The gravity lows and highs have clearly indicated various sub basins and ridges. The density logs from ONGC, Chennai, show that the density contrast decreases with depth in the sedimentary basin, and hence, the gravity profile is interpreted using variable density contrast with depth. From the Bouguer gravity anomaly, the residual anomaly is constructed by graphical method correlating with well data, subsurface geology and seismic information. The anomaly profile is interpreted using polygon model. The maximum depths to the khondalitic basement are obtained as 2.0km, 1.60 km and 2.50 km at Krishna sub-basin,Bapatla ridge and Nizampatanam sub-basin respectively. The regional anomaly is interpreted as Moho rise towards coast. The aeromagnetic anomaly profile is also interpreted for charnockite basement below the khondalitic group of rocks using prismatic models.

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Gravity anomaly, Variable density contrast, Khondalite basement, Magnetic anomaly, Charnockite basement, Moho depth. K-G basin.

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This research paper presents An Analytical Study of The Entrepreneurial Attitude and Aspirations Among Commerce Students. The study aims to explore the factors influencing commerce students' inclination towards entrepreneurship, their perceptions, aspirations to become entrepreneurs. The research employs a mixed-method approach, combining quantitative surveys and qualitative interviews to gather data from a sample of commerce students from various educational institutions. The findings provide valuable insights into fostering an entrepreneurial mindset among commerce students and enhancing entrepreneurship education to support their entrepreneurial aspirations.

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Entrepreneurial , Aspirations

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