Volume 14 | Issue 6 |

 Abstract

योग एक प्राचीन भारतीय अभ्यास है यह शारीरिक , मानसिक और आध्यात्मिक विकास में मदद करता है एवं तबला भारतीय संगीत का एक प्रमुख ताल वाद्य यंत्र है।योग और तबला का सम्बन्ध बहुत गहरा और पुराना है, योग मन और शरीर को स्वस्थ्य रखता है। वही अगर हम भारतीय अवनद्ध वाद्य तबला के बारे में बात करे, तो तबला संगीत के माध्यम से व्यक्ति को आंतरिक शांति प्रदान करता है। तबला और योग दोनों ही भारतीय सांस्कृतिक धरोहर के अभिन्न अंग है। यह शोध पत्र योग और तबला के सम्बन्ध को प्रस्तुत करता है। योग और तबला दोनों ही सस्कृति और कला के एक मजबूत स्तम्भ के रूप में उभरकर सामने आते है, जिस प्रकार योग मन और शरीर को आपस में जोड़ता है ,उसी प्रकार तबला लय और संगीत को। शारीरिक मुद्राये करते समय श्वास (प्राणायाम )और तबला में लय को संतुलन बनाये रखने के लिए ध्यान का होना बहुत जरुरी है। ध्यान के द्वारा ही तबला और योग का सही सम्बन्ध स्थापित होता है। इस शोध पत्र के माध्यम से बताया गया है कि किस प्रकार तबला और योग का आपसी अन्तःसम्बन्ध है, और कैसे दैनिक दिनचर्या में योग को शामिल करने से तबला वादकों के प्रदर्शन रचनात्मकता , एकाग्रता में सुधार होता है। इस शोध पत्र के माध्यम से तबला और योग के अन्तःसम्बन्ध को दर्शया है,और बताया गया है कि कैसे योग तबला वादकों की तकनीक,प्रदर्शन सम्बन्धी चिन्ता एवं तनाव से राहत दिलाने के लिए महत्वपूर्ण भूमिका निभाता है।

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 Keywords

तबला,योग,प्रदर्शन,संगीत,अन्तःसम्बन्ध।

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 Abstract

Nano-therapy is a cutting-edge medical method that combines nanotechnology and biotechnology to transform healthcare. Nanomedicine is a multidisciplinary field that focuses on using nanomaterials and nano-devices to accurately identify, cure, and prevent illnesses at the molecular level. Nanoparticles include distinct attributes like their diminutive size, expansive surface area, and capacity to be tailored with therapeutic ingredients. These attributes facilitate accurate identification of damaged cells and tissues, hence minimizing adverse effects and improving therapy effectiveness. Nano-therapy has great potential in the field of cancer treatment. Nanoparticles may be designed to specifically transport chemotherapeutic medications to tumour cells, therefore protecting healthy cells and minimizing the negative effects often associated with conventional chemotherapy. Moreover, the ongoing inquiry is exploring the potential of nano-therapy in gene therapy. This technique utilizes nanoparticles to transport genetic material to targeted cells, presenting novel opportunities for the treatment of genetic abnormalities and chronic illnesses. Nano-therapy advancements may also be used for diagnostic applications. Nano-diagnostic technologies, such as quantum dots and gold nanoparticles, provide exceptional sensitivity and specificity in identifying biomarkers associated with several illnesses. This functionality facilitates rapid disease identification and the development of tailored therapeutic strategies. In addition, nano-therapy shows potential in the development of sophisticated drug delivery systems, biosensors, and regenerative medicine, enabling tissue regeneration and the fabrication of artificial organs. Integrating nano-therapy into clinical practice encounters several obstacles, such as assuring the compatibility and safety of nanomaterials, increasing manufacturing processes, and negotiating regulatory systems. In order to effectively tackle these problems and completely exploit the advantages of nano-therapy, it is imperative to actively pursue continuous research and foster interdisciplinary collaboration.

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 Keywords

Nano-therapy, Drugs, nanomaterials, regenerative medicine, therapeutic strategies

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 Abstract

?????? ??????? ??????? ??? ????? ???????????? (Information Technology in Indian Banking Sector) ??. ?????? ???, ????????? ????????, ?????????? ??????? ???? ?. ?. ??. ?????? ????????????? ???????????, ?????? (?????) ???????? ??? (Abstract) ?????? ??????? ????????? ??? ???? ??? ???? ????? ??? ??? ??????? ??? ?? ??-?? ???????? ????? ?? ???? ???? ????? ??? ????? ??? ??????? ?????? ??? ?? ?????????? ????? ??? ???? ?? ?? ?? ??? ??? ?????? ??????? ?????? ?? ?????? ?? ??? ?? ????? ??? ?? ?????? ?? ????? ??? ?? ????????? ??????? ?????? ???? ???? ??? ?? ?????? ??????? ????????? ??????? ?????? ?? ??????? ?? ?? ??????????? ?? ???? ?? ????? ???? ??? ????? ??? ??????? ??????? ???? ?? ?????????? ?? ???, ?????? ??????? ????????? ????-???? ?????????, ????????? ???????? ?? ????? ????????? ??? ???? ????? ???-????? ?????? ?? ???? ??? ??? ??? ??? ?? ???? ???? ??? ??????? ?????? ?? ?? ???????? ?? ???? ???? ??? ????? ??????? ?????? ?? ??? ??????? ?????? ?? ?? ????? ?? ?? ??? ?? ???? ??????? ?????? ?? ????? ??? ??????????? ?????????? (IT) ?? ?? ????? ???? ??, ??????? ?? ??????? ?????? ??? ?????????? ?????? ?????? ??? ???? ?????, ??????? ?????? ?? ?????? ?? ????????? ?? ?? ?????? ???? ???? ??? ??? ??????? ??? ??? ?????? ??????? ??????? ??? ?? ???????????? ?? ??? ?? ??????? ?????? ????? ?? ??? ?????? ?? ??????? ??? ?????? ?? ???? ?? ??? ???????? ?? ??????? ???????, ?????? ??????? ?? ???? ?????? ?? ?????? ?? ???? ?????? ?? ?????? ?? ???? ?????? ?? ???? ????? ?? ????? ??? ??? ??? ???? ??????? ?????? ???? ?? ??? ?? ??????? ?? ????? ?? ??? ??? ???? ???? ???????? ?? ???? ???? ???????? ?? ??? ??? ???? ?? ???? ??????? ?????? ?? ?? ??????? ?? ?? ??? ??? ????? ???????????? ?? ?? ?? ??? ?? ???? ?????????? ???????? ?? ????? ???? ??????? ?????? ????? ???? ???? ???

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????? ???? (Keywords)- ??????? ???????, ??????? ???????, ?????? ???????,??????? ??????,????? ????????????, ??????? ?????????, ?-???????

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The rapid growth of digital payment systems has transformed the financial landscape in India, with the Unified Payments Interface (UPI) emerging as one of the most widely adopted payment platforms due to its speed, convenience, and accessibility. This study titled "Users Perception towards Digital Payment Systems: A Study with Special Reference to UPI in Karnataka" aims to examine the behavioral factors influencing the adoption of UPI payments and to analyze customer awareness in improving the effective use of digital payment systems by considering demographic factors. The main purpose of the study is to understand user perception, awareness, and adoption patterns of UPI services among consumers in Karnataka. The study follows a descriptive research design and is based on primary data collected from 402 respondents through the convenience sampling technique. Data analysis was carried out using JAMOVI software with the application of statistical tools such as ANOVA and Correlation to identify relationships and differences among variables. The findings of the study are expected to contribute to financial institutions, digital payment service providers, policymakers, and researchers by providing insights into consumer behavior, awareness levels, and factors influencing the effective adoption and usage of UPI-based digital payment systems in Karnataka.

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Unified Payments Interface (UPI), Digital Payment Systems, User Perception, Customer Awareness, Financial Inclusion

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Creative Commons Attribution 4.0 and The Open Definition

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L2 motivational self system, L2 learning experience, willingness to communicate, digital learning, English as a foreign language

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The growing demand for high-performance electric vehicles (EVs) has intensified research into lightweight and structurally efficient battery enclosures. This paper presents the design and structural analysis of a honeycomb-based battery pack housing for tactical placement within the EV underbody chassis. The hexagonal honeycomb core configuration is selected owing to its superior specific strength, energy absorption capability, and thermal management properties. Finite Element Analysis (FEA) is carried out using ANSYS Workbench to evaluate the structural response of the battery enclosure under static and dynamic load cases, including frontal impact, side impact, vertical loading, and torsional loading. Three candidate materials, namely Aluminium 5052-H32, Carbon Fibre Reinforced Polymer (CFRP), and Nomex Aramid honeycomb, are assessed and compared on the basis of stress distribution, deformation, and mass reduction. The honeycomb geometry is parametrically optimized by varying cell size, wall thickness, and cell angle to achieve the best combination of stiffness and weight. Results indicate that the proposed honeycomb battery pack enclosure achieves a mass reduction of up to 38% over conventional steel enclosures while maintaining structural integrity within permissible safety limits. The study also demonstrates improved thermal dissipation pathways facilitated by the open-cell geometry, which contributes to enhanced battery performance and longevity. The findings validate the suitability of honeycomb structures for the tactical and space-efficient placement of battery packs in EV platforms.

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Honeycomb structure, battery pack, electric vehicle, finite element analysis, lightweight design, structural optimization, energy absorption, ANSYS.

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Tourism has become a powerful force of socio-economic and cultural change in Bir-Billing, Himachal Pradesh, particularly impacting local youth. This study investigates the effects of tourism on youth's socio-cultural values, economic conditions, lifestyles and behaviours in the region. The findings show tourism has created jobs in adventure tourism, hospitality and small businesses, boosting economic participation and reducing youth unemployment. However, it has also influenced local traditions, language, dress patterns, consumption and aspirations through cultural exchange and diffusion. This study also noticed only minor changes in traditional practices and continued cultural and community involvement, a growing generational gap and the adoption of tourist lifestyles were widely reported. The study also highlights economic challenges like seasonal work income instability, lower wages, competition from outsiders, rising living costs, gender disparities and concerns about youth labour exploitation at work. Furthermore, tourism has changed lifestyles, increased materialistic aspirations, altered spending habits and raised substance abuse concerns among youth. Despite these shifts, traditional social institutions like family, education and community remain crucial for social cohesion and moral guidance. The study concludes tourism has a dual nature, driving development while also posing socio-economic and socio-cultural risks. It recommends promoting sustainable inclusive tourism, strengthening labour protections, enhancing local involvement, ensuring gender equity, preserving cultural heritage and addressing emerging social challenges to maximise tourism's benefits for youth and the host community.

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Tourism, Youth, Socio-Cultural Change, lifestyle, Bir-Billing.

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Low-light image enhancement is a fundamental challenge in computer vision with critical applications spanning surveillance, autonomous navigation, medical imaging, and consumer photography. This paper presents Zero-DCE+, a comprehensive deep learning framework integrating Zero-Reference Deep Curve Estimation (Zero-DCE) for unsupervised low-light enhancement with an automated three-class visibility classification system. The proposed enhancement network comprises a lightweight convolutional architecture (~79,416 parameters) that estimates pixel-wise higher-order curve parameters across eight iterative refinement steps, guided by four complementary unsupervised loss functions (spatial consistency, exposure control, color constancy, and illumination smoothness). A separate visibility classifier employing CNN with batch normalization categorizes enhanced images as Low, Medium, or High visibility. Evaluated on the LOL benchmark dataset (485 training / 15 test pairs), the proposed framework achieves a competitive average PSNR of 14.5 dB and SSIM of 0.61, outperforming the original Zero-DCE baseline on SSIM while maintaining comparable PSNR. The visibility classifier attains 91.8% accuracy with ROC-AUC of 0.97. The complete pipeline operates at sub-200ms inference time on standard CPU hardware and is deployed as an interactive Streamlit web application. This work demonstrates that zero-reference learning can achieve competitive enhancement quality while remaining practical for resource-constrained deployment without GPU infrastructure.

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Low-light image enhancement, Zero-DCE, deep curve estimation, visibility classification, unsupervised learning, PSNR, SSIM, convolutional neural network, LOL dataset, image quality assessment, computer vision.

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Domestic violence survivors frequently face social stigma, including victim-blaming, discrimination, and social exclusion, which can negatively affect mental health, self-esteem, help-seeking behaviour, and recovery. This qualitative phenomenological study explored the lived experiences of domestic violence survivors receiving counselling at Parihar, Bengaluru. Using purposive sampling, survivors attending counselling services participated in in-depth semi-structured interviews. Data were analysed through thematic analysis. Eight themes emerged: victim-blaming; family and community reactions; shame, guilt, and self-stigma; impact on mental health; barriers to seeking support; role of counselling in recovery; social support and resilience; and recommendations for social change. Participants reported being blamed for the abuse, pressured to preserve family reputation, and discouraged from disclosing violence. Stigma contributed to anxiety, depression, fear, isolation, and delayed help-seeking. Counselling was described as a safe and non-judgmental space that reduced self-blame, improved emotional well-being, and strengthened coping abilities. Supportive relationships and peer networks enhanced resilience. The study concludes that social stigma is a major barrier to recovery and social reintegration, highlighting the need for stigma-reduction initiatives, survivor-centred counselling, mental health support, and stronger community-based interventions in Bengaluru.

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Creative Commons Attribution 4.0 and The Open Definition

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Domestic violence social stigma abuse etc

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Creative Commons Attribution 4.0 and The Open Definition

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Currency identification remains a significant challenge for visually impaired individuals, affecting their independence and financial security during daily transactions. This paper presents the design and implementation of a low-cost embedded currency detection system using an ESP32 microcontroller, TCS3200 color sensor, infrared (IR) sensor, and DFPlayer Mini audio module. The proposed system identifies Indian currency denominations including INR10, INR20, INR50, INR100, INR200, INR500, and INR2000 through RGB color analysis and provides real-time voice feedback. Experimental evaluation was conducted using 350 currency samples under controlled lighting conditions. The system achieved an average recognition accuracy of 92.3% and maintained 87.1% accuracy for worn notes with a response time below 2 seconds. The proposed solution offers an affordable and portable assistive technology for visually impaired users while providing a foundation for future machine-learning-based currency recognition systems

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Creative Commons Attribution 4.0 and The Open Definition

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ESP32, Currency Recognition, Assistive Technology, Color Sensor, Audio Feedback, Visual Impairment, Embedded Systems

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Creative Commons Attribution 4.0 and The Open Definition