Volume 13 | Issue 5 |

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Yoga, Breathing & Mind

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The study found that consumers' attitudes towards electric cars have a significant positive impact on their intention to adopt them. Environmental concerns, moral norms, price concerns, buying intention, social norms, extra price willingness, and perceived behavioral control all have a positive impact on the intention to adopt electric cars. However, the study also found no significant difference in buying intent among different education and income groups. Middle-aged respondents had more buying intent than other groups, and the research suggests that manufacturers should convert these attitudes into behavior and adoption behavior. The study suggests that marketers should consider these factors when promoting electric cars.

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Keyword Environmental concerns, moral norms, price concerns

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This paper investigates the relation between the hand movements and the eye movements in Bharatanatyam and contests the common understanding of the relation in the context of Bharatanatyam and other Indian classical dances. This paper employs Dance Analysis in the methodology. A video document is used to investigate the objective by an acclaimed Bharatanatyam performer Dr. Sathyanarayana Raju.

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YATHO HASTASTATHO DRISTIHI -A Dance Analysis of Hand and Eye synchrony in Bharatanatyam from theory to practice.

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This project presents an advanced system for detecting fake profiles on social media using artificial intelligence. The solution integrates machine learning, deep learning, natural language processing (NLP), and image recognition to analyze user behavior, text content, and profile features for accurate classification. SMOTE is utilized to address class imbalance, improving model training and prediction. The system operates in real-time and offers scalable performance, with future enhancement plans including reinforcement and federated learning. This approach ensures proactive detection of fraudulent users, contributing to safer digital environments

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NLP, Fake Profile, Deep Learning, Behavioral Analysis, Social Media, SMOTE, AI

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A very important aspect of the development of smart transportation networks and road safety is 'traffic sign recognition'. This survey covers all types of learning techniques applied to traffic sign recognition with respect to effectiveness, challenges, and progress. The study begins with an overview of the foundational methods of traffic sign recognition: traditional image processing approaches and their limitations. Further below, the heart of the survey is modern learning techniques, especially 'machine learning (ML)' and 'deep learning (DL)' approaches. The report reviews employ learning techniques applied in 'traffic sign recognition systems'. It discusses both the most recent developments in deep learning and advanced machine learning as well as conventional image processing. The review ranges from classical techniques such as colour and shape-based recognition to modern techniques such as 'Convolutional Neural Network (CNN),' which have significantly increased recognition accuracy. Several important datasets on which the training and evaluation should be done have been reported. One of them is 'German Traffic Sign Recognition Benchmark', and the challenges in practical applications along with the future research directions in this field have been highlighted. An overview has been provided regarding the effectiveness and evolution of learning techniques to improve 'Traffic sign recognition systems'.

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Traffic sign recognition, machine learning, convolution neural network, convolution neural network,natural language processing(NLP)

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Artificial Intelligence (AI) is exerting a transformative influence on the discipline of mathematics, reshaping both theoretical inquiry and practical engagement. In mathematical research, AI systems particularly those employing machine learning, symbolic computation, and automated reasoning are facilitating novel approaches to theorem discovery, proof verification, and conjecture generation. These tools are augmenting human intuition and expanding the frontiers of mathematical exploration by uncovering patterns and relationships that might otherwise remain obscured. In the educational domain, AI technologies are enabling more personalized and adaptive learning environments. Intelligent tutoring systems and algorithm-driven platforms are redefining mathematics pedagogy by offering tailored instruction, real-time diagnostics, and scalable feedback mechanisms. Such innovations hold promise for improving learning outcomes and democratizing access to mathematical knowledge. AI's impact is equally evident in applied mathematics, where data-driven models and optimization techniques are being integrated into fields such as engineering, economics, and the natural sciences. These applications demonstrate AI's capacity to enhance the modeling, analysis, and solution of complex real-world problems. This paper presents a qualitative synthesis of current literature, examining the multifaceted roles AI plays across mathematical subfields. It also engages with the philosophical and ethical considerations emerging from this integration particularly the implications for mathematical rigor, creativity, and epistemology. By surveying contemporary developments, this study aims to provide a nuanced understanding of how AI is reshaping the nature and practice of mathematics in the modern era.

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Automated Theorem Proving, Mathematical Education, Applied Mathematics, Ethical Implications of AI.

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An automatic scoring system for badminton matches using computer vision techniques is presented in this paper. TrackNetV3 is used for shuttlecock detection, and a custom model is used to predict the corners of the badminton court, in order to convert the frame into a top-view perspective. By connecting the most frequent coordinates, the trajectory of the shuttlecock is determined. The shuttle drop detection method identifies frames with speeds below a predetermined threshold, indicating that the shuttlecock has fallen. An additional model is utilized to predict player poses during service, which aids in the decision-making process. As part of the scoring process, the system creates polygons in the top-view image to mark the locations of shuttle drop-offs. This proposed system is effective at scoring badminton matches accurately, as demonstrated by experimental results.

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Badminton, Automated Scoring, Computer Vision, TrackNetV3, Shuttlecock Detection, Homography Matrix, CNN, Pose Prediction, Deep learning.

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Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider, For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.

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Cloud Computing,Fog Computing,Data Security,Data Theft Attacks,Insider Attacks,Encryptions,Smart Grids,Vehicle Networks,Software Defined Network(SDN),Unauthorized Access,Data Leakage

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This study focuses specifically on the constraints that women face in accessing and participating in leisure activities. The study examines the gendered dimensions of leisure and discuss how social, cultural and economic factors restrict women's leisure opportunities while comparing with men. Key themes include time, psychological constraints, economic limitations, safety matters, unpaid care responsibilities and socio-cultural norms. The study highlights the need for inclusive leisure policies and practices that address the systematic inequalities that affect women's access to free time and recreation.

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Gender, Leisure, Constraints

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Fashion's Answer to Climate Change: Art Design a Collection Inspired by Nature examines the potential of fashion to be both a reflection of and driver of environmental change. With the climate emergency gaining pace, creative industries need to come to terms with their contribution to ecological damage as well as provide visionary solutions. This project places fashion not just as an ornament but as activism a platform where art, sustainability and innovation meet to ignite a more harmonious world. Inspirited by nature's abiding beauty, the collection borrows natural forms like bark patterns, leaf veins, and earthy tones of soil, sand, stone and sky. Earth textures and natural patterns are the key design motifs, evoking a sense dialogue between wearer and landscape. Biomimicry informs aesthetic as well as functionality, embracing the intelligence and strength of nature. Neutral colors offer timelessness and adaptability, guaranteeing that the clothes outlive fast fashion and support a culture of slow, intentional buying. The base of the collection lies on sustainable materials, such as organic cotton, hemp, bamboo, and recycled materials. Through choosing low-impact fabrics, the project keeps its footprint low and upholds a regenerative model of production. Every garment is made with ethical concerns in mind at each step: fair wages, secure working conditions, transparent supply chains and dedication to respecting people as much as the earth. Current menswear is the main canvas upon which to conduct this journey. Conscious masculinity, a mix of strength and sensitivity, coupled with responsibility, shapes the silhouettes, fusing cutting-edge tailoring with nature-influenced softness. Functionality and comfort come first in the designs while radiating ageless sophistication and durability over disposability. By treating clothing as wearable art, the collection combines craft and couture, in which each stitch, pattern and material selection is a testament to environmental responsibility. Methods like hand-dyeing with natural dyes, laser-cut details replicating leaf structures and artisanal surface treatments align art with sustainable practice. Each piece is a living artifact, bearing both aesthetic appeal and ethical integrity. In addition to the material and visual, the collection takes the stance of environmental activism. It poses important questions: How do we mend our broken relationship with nature? How can fashion fuel systemic change instead of destruction? The project stands for regenerative design practices, encouraging not only sustainability but actual restoration of ecosystems through improved sourcing, manufacturing and consumer literacy.

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Sustainable fashion, Climate-conscious design, Eco-friendly textiles, Nature inspired fashion, Fashion and climate change, Environmentally responsible design, Green fashion, Biophilic design in fashion.

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Creative Commons Attribution 4.0 and The Open Definition