Volume 12 | Issue 5

 Abstract

Fintech companies use technology and innovation to provide fast, convenient, and secure financial services. However, its adoption is uneven across various demographics, affecting financial accessibility and gender equality. Antecedents of fintech adoption among Generation Z who are mostly college-going students are vacant in prior literature. This study aims to fill this gap by examining factors influencing college students' adoption of fintech. Using the UTAUT2 framework, it considers time-saving and security aspects. It also highlights new insights into college students' fintech usage.

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 Keywords

Fintech, financial inclusion, gender gap, generation Z, time-saving, Unified Theory of Acceptance and Use of Technology (UTAUT2)

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KEYWORDS: Anxiety, Claustrophobia, Diazepam, Chronic Restraint Stress, Elevated Plus Maze, Light Dark Box, Phytochemical Analysis, Costus Igneus.

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The study involves using fuzzy implication relations between the collected signal properties acquired from chosen channels of the lobes to analyse the functional brain connectivity between the pairs of brain lobes for a specific learning problem. The fuzzy implication relation of the Dienes-Rescher type was selected because it most closely resemblespropositional implication in terms of logical semantics. In a learning assignment involving fruits and animals, the Dienes- Rescher type implication has been successfully used to examine similarities in functional brain connectivity for healthy(normal) youngsters (below 2 years old). Children with dyslexia condition are known to have altered brain connection patterns from healthy subjects.

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dyslexia, brain-lobes, children, fuzzy

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 Abstract

This project deals with manufacture of a Prototype of Vertical Car Parking System. This system has been implemented to reduce the excess use of land space which is already very scarce in metro cities. Different types of vehicle parking are applied worldwide namely Multi-level Automated Car Parking, Automated Car Parking System, and Rotary Parking System. The present project work is aimed to develop a scale down working model of a car parking system for parking cars within a large parking area. The chain and sprocket mechanism is used for driving the parking platform. When the car comes on the ramp the switch will be activated and the bucket comes to carry the vehicle. When the switch will be operated by the operator, sprockets starts to rotate and the new space will be adjusted for new vehicle. Planners, developers, architects are finding out solutions to tackle this problem of parking, so we took this opportunity to bring the technology of automated parking to where it is needed.

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DESIGN AND DEVELOPMENT OF VERTICAL/ROTARY CAR PARKING SYSTEM

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 Abstract

Weather is a vital part of a person's life because it can tell us whether it will rain or be sunny. Weather forecasting is meteorologists attempt to predict weather conditions in the future, as well as weather conditions that may be predicted. Temperature, pressure, humidity, dew point, rainfall, precipitation, wind speed, and dataset size are all used to calculate the climatic state parameters. To begin, the data must be educated. We can use the data from the data collection to train the data. User can predict daily weather report using the particular dataset which is already imported like API. Here API is vital role for current data. Using this project user can get current weather report and only need the input of name of the city once enter the city name full report will be generated for current situation. We can analyze the predict temperature with original temperature and can predict future rain fall. We'll use the Decision Tree Classification Algorithm and the Random Forest Classification Algorithm to make this prediction. Python, NumPy, Jupiter Notebook, Sea born, and Panda will be used in this project. The project is split into three separate Jupiter Notebooks: one to collect the weather data, inspect it, and clean it; a second to further refine the features and fit the data to a Decision Tree model and a third to fit the data to a Random Forest model evaluate our output.

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 Keywords

Machine learning, weather prediction, statistical analysis, rainfall, temperature.

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 Abstract

Two species of genus Adhatoda (A. beddomei L. and A. vasica L.) was selected for epidermal studies of leaves. 14 epidermal characteristics are studied in two species of Adhatoda (A. beddomei L. and A. vasica L.). These characters belong broadly to prominent structures. 1. Epidermis 2. Stomata 3. Trichomes. Adhatoda vasica L. differs distinctly from Adhatoda beddomei L. in numbers of epidermal cells. Out of 8 stomatal characteristics studied, 2 character namely average size of stomata and stomatal index show least variation in both species. Type of stomata is quite similar in both i.e. diacytic. However, some variations occur in average number of stomata/unit area in both species of Adhatoda respectively. Similarly they differ invariably in distance between stomata, guard cell index, pore area index and total pore area characteristic.

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Adhatoda, Stomata, Epidermis, Diacytic, Stomatal index

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Ensuring the durability of pavement is essential for road safety and minimizing maintenance costs. This study explores the incorporation of Helianthus, a self-mending agent, into asphalt to improve its self-repair capabilities. Three pavement models were evaluated: one with pure asphalt and two with Helianthus-infused asphalt, added either during the mixing and heating process or after the pavement had been laid. Comprehensive testing, including Aggregate Impact Value, Specific Gravity, Penetration, and Marshall Stability tests, confirmed the high quality of the materials used. The results demonstrated significant self-healing properties, especially when Helianthus was integrated during the initial mixing process, achieving defect recovery rates of 54.74% after 15 days and 74.49% after 30 days. In contrast, post laying addition of Helianthus resulted in recovery rates of 48.70% and 62.85%, respectively. These findings underscore Helianthus as an effective and economical solution for enhancing pavement longevity and reducing maintenance requirements. Further research on increasing Helianthus content and extending the healing period is recommended to optimize its effectiveness.

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Pavement durability, Self-mending agent, Helianthus, Asphalt, Road maintenance, Defect recovery, Bitumen.

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 Abstract

This development aims to contribute treatments (medicines) that are either fresh or stale in nature. The new treatments can be handed to a poor individual who will be able to use them in the future. This programme assists the user in donating or selling any unused medicines to a non-profit organisation. There are three people that make up this body: the administrator, the non-governmental organisation, and the user. A system administrator will log in and manage users, including deleting and barring users who are giving incorrect or expired drugs. In addition, the administration has a consultant, similar to the appointment requested by the NGO. The administration receives a monthly noise of remedies that have been contributed. Authorizations are used to register and login for non-profit organisations. They can promote a request for an appointment, which will be added to a more appropriate and comprehensive list by the administrator. The standard is managed by an NGO, which aids in the preservation of the history of the current medicines. In the event of a safety issue, an NGO can also modify their PIN. Authorizations are used to allow users to register and log in. They can provide remedies by providing remedy details and generating demand; once this has been agreed upon by the administration and the NGO, they will plan a date for the donation to take place. Also available to consumers is a history of their previous remedial transactions.

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Scalable Access Control, Privacy-Preserving Deduplication, Cloud-based Media Sharing, Data Privacy

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The algorithms were evaluated as grounded in orderly threat insight information, inconsistency location implemented with blockchain-enhanced access control, and machine learning-driven interruption discovery inside of a simulated healthcare environment. The illustration of the test outcomes demonstrated that every calculation was viable, with an accuracy range of 0.88-0.94 in addition to lift defines from 0.75 to 1; knowledge values extend from .86 to .92, F1 scores are between and above .90 findings is shown as below: Primarily, TIAA received top marks in risk insights management, ADA performed beyond expectation with respect to inconsistency detection, BACA strengthened access control using blockchain, and ML-IDS demonstrated impressive results in intrusion identification. In a comparative analysis with related work, the significance of these algorithms in confronting unique cybersecurity challenges in the field of healthcare is accentuated. The proposed algorithms can be mentioned for the advancing discourse on healthcare cybersecurity, and they represent an integrated approach to secure sensitive health information, ensure the soundness of judgment frameworks, and strengthen institutions against the range of dynamic cyber threats.

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Healthcare Systems, Cybersecurity, Anomaly Detection, Threat Intelligence, Machine Learning, Algorithm Evaluation, Blockchain, Precision, Recall, F1 Score, AUC-ROC.

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This study investigates the growing trend of moonlighting (holding a second job) within Kerala's IT sector, particularly in light of flexible work arrangements. We examine IT employee attitudes towards moonlighting, exploring their preferences and decision-making factors. The research analyzes both the potential benefits (e.g., increased income, skill development) and drawbacks (e.g., workload, work-life balance) associated with moonlighting to empower employees to make informed career choices. Additionally, the study provides valuable insights for employers by shedding light on employee attitudes and the potential impact on the workforce. While the research scope is limited to Kerala's IT sector, findings reveal a lack of employee awareness regarding legal regulations and potential health risks associated with moonlighting. Clearer policies from governing bodies and improved work-life balance practices by employers are suggested to mitigate these issues. Competitive salaries and supportive work environments could further decrease the pressure to moonlight, potentially leading to a more informed and healthier workforce.

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Moonlighting, IT sector, employee attitude, legal regulation

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 Abstract

India is the second largest country in the world in terms of population with a large potential of job opportunity in India. India is facing scarcity of job opportunities which results in growth in unemployment among young graduates. Entrepreneurship is one of the important segments of economic growth hence the government of India has constantly taken a lot of initiatives through the Union Budget. This research paper has intention to know about an intense approach of union budget apropos entrepreneurship in India. Secondary data were collected from web sources, research articles and journals. It is concluded that a lot of initiatives in terms of grants, tax subsidy, entrepreneurship promotion schemes and subsidized facilities announced and taken by government of India to undisturbed support and financial aids to promote entrepreneurship in India.

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 Keywords

Union Budget, Government approach, Entrepreneurship

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This research proposes a healthcare system that harnesses advanced technologies for disease prediction, prescription management, and appointment scheduling. This integrated approach aims to improve healthcare delivery by: o Early disease detection: Utilizing predictive analytics to identify potential health issues before they become serious. o Optimized prescription processes: Streamlining medication management for patients and healthcare providers. o Enhanced appointment scheduling: Simplifying the process of booking and managing appointments. This innovative approach has the potential to revolutionize healthcare delivery by making it more proactive, efficient, and cost-effective.

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 Keywords

Disease forecasting Prescription optimization Healthcare analytics Predictive modeling Appointment scheduling Machine learning in healthcare Patient management system

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The Real-time Integrated Healthcare Web Application revolutionize healthcare delivery by connecting doctors, patients, Lab workers, pharmacists and administrators. Patients can register, schedule appointments, access records and communicate with providers in real-time. Doctors manage appointments, collaborate and conduct telemedicine consultations. Lab and pharmacy integration streamline processes, while centralized tools enhance system management for improved patient outcomes.

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Integration, Patient care, Healthcare, communication, Digital health

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This research article examines how important it is for art and design to promote public knowledge of and comprehension of sustainable development. With today's intricate environmental, social, and economic issues, art is a potent tool for highlighting the significance and exigency of sustainable behaviours. This research explores how artists and designers use diverse creative approaches and media to connect audiences, elicit empathy, and stimulate critical thought on sustainability challenges via an interdisciplinary viewpoint. The article explores the transformational power of art in increasing consciousness, mobilising action, and encouraging collective responsibility towards accomplishing sustainable development goals. It does this by using examples from visual arts, installations, multimedia projects, and community-based initiatives. Moreover, the analysis focuses on how art-based interventions support social justice, environmental conservation, and cultural resilience in varied groups. In order to solve urgent global concerns and shape a more just and sustainable future, this study emphasises the linkages between art, design, and sustainability. It also highlights the importance of multidisciplinary cooperation and creative innovation.

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sustainable development, environmental consciousness, creative communication

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 Abstract

EFFECT OF STEEL FIBRES ON MECHANICAL PROPERTIES OF CONCRETE COMPOSITE The application of structural fibers to enhance several mechanical characteristics of concrete including increase in residual stress and energy absorption capacity along with significant durability improvements, has gained popularity due to their extreme ease of use and wide availability ___________________________________________________________________

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SFRC (STEEL FIBRE REINFORCED CONCRETE)

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 Abstract

Cloud computing assumes an essential job in the business stage as figuring assets are conveyed on request to clients over the Internet. Distributed computing gives on-request and pervasive access to a concentrated pool of configurable assets, for example, systems, applications, and administrations This guarantees the vast majority of undertakings and number of clients externalize their information into the cloud worker. As of late, secure deduplication strategies have bid extensive interests in the both scholastic and mechanical associations. The primary preferred position of utilizing distributed storage from the clients' perspective is that they can diminish their consumption in buying and keeping up capacity framework. By the creating data size of appropriated registering, a decline in data volumes could help providers reducing the costs of running gigantic accumulating system and saving power usage. So information deduplication strategies have been proposed to improve capacity effectiveness in cloud stockpiles. Also, thinking about the assurance of delicate documents. Before putting away the records into the cloude stockpile they frequently utilize some encryption calculations to ensure them.In this paper we propose stratagies for secure information deduplication

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Cloud Computing Deduplication

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 Abstract

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robotics, industrial automation, hazardous material handling, servo motors, DC motors, Arduino control, LabVIEW programming, and workplace safety.

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Creative Commons Attribution 4.0 and The Open Definition

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Skeletal malocclusions, alveolar bone defects, orthodontics, periodontal health, clinicoradiological study.

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Creative Commons Attribution 4.0 and The Open Definition

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This abstract discusses the pressing global issues of improving river water quality and addressing plastic pollution, with a focus on the context of Pune, India. It highlights the multifaceted approach required for river revival, including creating a conducive environment for aquatic life, implementing innovative technologies and policies, preventing pollutant runoff, and promoting sustainable river use. Additionally, it emphasizes the need for reducing plastic consumption, improving waste management, investing in recycling technologies, and fostering international cooperation to tackle plastic pollution effectively. The abstract underscores the importance of local and global collaboration in addressing these critical environmental challenges and suggests specific actions for Pune, such as comprehensive waste management strategies and public awareness campaigns. This project focuses on addressing plastic pollution in Pune's rivers through a comprehensive approach encompassing preliminary assessment, technological solutions, community engagement, and methodology. It involves conducting surveys to map plastic pollution hotspots, analyzing types and quantities of plastic waste, and researching advanced technologies for detection and removal. Methodology involves site selection for sample collection, photographic surveys, and developing suitable models for removing floating material, with a focus on locations like Janta Vasahat Parvati, Nilayam Bridge, Z Bridge, Shivaji Maharaj Bridge, and Swargate . This project, "Development of a Model to Remove Floating Materials from Rivers," is based on extensive literature and research, aiming for flexibility and cost-effectiveness. Utilizing lithium-ion battery technology, the model demonstrates satisfactory results, with a need for higher-capacity batteries to extend operation time. Despite minor drawbacks, the project effectively reduces manual labor in pond and river cleaning, achieving its objectives and proving valuable for small-scale environmental tasks. Further research is suggested to optimize performance and overcome limitations

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Component, formatting, style, styling, insert.

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Creative Commons Attribution 4.0 and The Open Definition

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This research explores the potential of Weave, a web application designed to cultivate a dynamic social and academic environment within college communities. Weave addresses the growing need for a platform that fosters communication, collaboration, and engagement among students, faculty, and staff in the digital age. This paper examines the multifaceted functionalities of Weave, including the creation of personalized profiles, interest-based group formation, and knowledge-sharing tools like discussion forums and document collaboration. Additionally, the research investigates Weave's potential to promote campus involvement through streamlined event discovery and organization functionalities, alongside fostering professional development opportunities through mentorship and networking features. Ultimately, this research aims to evaluate Weave's effectiveness in fostering a vibrant and connected college environment, enriching the social and academic experience for all users.

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Collaborative Learning, MERN Stack, Social Media, Interest-based communities.

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Creative Commons Attribution 4.0 and The Open Definition