Volume 12 | Issue 5 |

 Abstract

The aim of this study was to find out the prevalence of neck pain among computer science students in Visnagar city. A cross sectional study performed among 200 Computer Science students aged 18 to 22 years. Results revealed 51.5% prevalence rate, 48.5% of participants had no disability, 48.0% had a mild disability, and 3.5% had a moderate disability. Students' self-reported gender distribution was 67% male and 33% female based on the results of the self-questionnaire.A study reveals mild neck pain among undergraduate computer science students, affecting everyday tasks. To prevent accidents and promote healthier habits and ergonomic education should be enhanced. Index Terms - Neck pain, NDI, Musculoskele

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 Keywords

Neck pain, NDI, Musculoskeletal disorders, Musculoskeletal symptoms.

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Ridesharing systems have revolutionized urban transportation, dominated by global giants Ola and Uber. This study comprehensively compares the two, examining service quality, market reach, and customer satisfaction. Using a mixed-methods approach blending literature review and empirical data, factors like pricing, coverage, technology, and user experiences are analyzed. Regulatory hurdles, driver satisfaction, and corporate governance are also considered. The findings shed light on each platform's strengths, weaknesses, and operational strategies, offering insights valuable beyond ridesharing to platform-based business models and urban transportation dynamics. This research aids policymakers, industry players, and researchers in strategic decision-making and future investigations.

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 Keywords

Ridesharing, Comparative Analysis, Market Penetration, Platform-Based Business Models, Pricing Strategies

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Face is the representation of one's identity. Hence, we have proposed an automated student attendance system based on face recognition. Face recognition systems are useful in life applications, especially security control systems. The airport protection system uses face recognition to identify suspects and the FBI (Federal Bureau of Investigation) uses face recognition for criminal investigations. In our proposed approach, firstly, video framing is performed by activating the camera through a user-friendly interface. The face ROI is detected and segmented from the video frame using the Viola-Jones algorithm. In the pre-processing stage, scaling of the size of images is performed if necessary to prevent loss of information. The median filtering is applied to remove noise followed by conversion of colour images to grayscale images. After that, contrast-limited adaptive histogram equalization (CLAHE) is implemented on images to enhance the contrast of images. In the face recognition stage, enhanced local binary pattern (LBP) and principal component analysis (PCA) are applied correspondingly to extract the features from facial images.

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Face detection, Machine Learning, Deep learning, AI, Image Processing

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This research investigates technology's pivotal role in addressing domestic violence, an issue spanning socioeconomic and cultural divides. It examines innovative methods like data analytics from digital platforms, ambient sensors, smartphones, wearables, and virtual reality to detect and aid domestic violence victims. The study also introduces a novel approach: emotion detection from text and live webcam facial analysis to gauge emotions. While outlining the capabilities and applications of these technologies, the paper also highlights challenges and limitations. Ultimately, it aspires to steer future research and development in leveraging technology to combat domestic violence, underscoring its societal significance.

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Domestic violence, CCTV

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Viral vectors play a pivotal role in recombinant technology, serving as vehicles for delivering foreign genetic material into host cells. They are engineered viruses that have been modified to carry and express desired genes. Through their natural ability to infect cells and integrate their genetic material, viral vectors efficiently transfer genes into target cells. This technology has widespread applications in gene therapy, vaccine development, and gene editing. By utilizing viral vectors, researchers can introduce therapeutic genes into specific tissues to treat genetic disorders or deliver vaccines against infectious diseases. Adeno-associated virus (AAV), lentivirus, and adenovirus are commonly used viral vectors, each with unique properties and applications. Despite their potential, careful consideration of safety and immunogenicity concerns is essential in their design and implementation. Overall, viral vectors represent a versatile tool in recombinant technology, offering promising avenues for medical advancements.

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Recombinant technology, Viral vector, Adenoviral vector, Lentivirus

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The smart ambulance, powered by IoT technology, incorporates a range of sensors and communication devices to create a unified and flexible medical environment. Crucial aspects of this configuration comprise real-time health monitoring sensors for patients and communication systems enabling smooth coordination among hospitals and emergency units. Patient Health Monitoring acts as a framework aimed at improving the standard of medical care during patient transit. Road traffic congestion is a primary cause of ambulance delays. Another goal of this project is to construct an intelligent ambulance that reaches the hospital early and avoids heavy traffic by delivering a notification to the associated traffic authority in case of emergency.

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 Keywords

IoT, Real-Time health monitoring, Patient monitoring, Traffic Control

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Financial institutions, because to their possession of substantial amounts of sensitive financial data and assets, are frequently targeted by hackers. The success of the financial business relies heavily on the maintenance of regulatory compliance, safeguarding sensitive consumer data, and verifying the authenticity of financial transactions. Financial institutions must maintain ongoing vigilance and develop robust defenses due to the ever-changing nature of the cybersecurity landscape. Neglecting to do so might lead to substantial legal obligations, financial setbacks, and damage to one's reputation. To ensure consumer confidence and safeguard financial transactions, the banking industry must continue to make substantial investments in cybersecurity. This research study examines recent significant cyber security incidents and the various sorts of cyber threats that different sectors have encountered. Financial institutions must adhere to legislation that mandates the use of preventive measures, such as authentication technologies, in addition to fulfilling the requirements and responsibilities set by regulatory authorities. Regarding the utilization of machine learning and algorithmic predictive modelling for activity identification, the significance of educating staff members is becoming evident, alongside the implementation of awareness initiatives and programs.

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Financial institutions, hackers, cybersecurity, regulatory compliance

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This paper talks about the status of women as she has been placed on high pedestal during medieval as well as modern times. Women empowerment is day by day increasing the potential of women in every field. The paper will focus on the both eastern as well as western movement of women empowerment. It will also analyze the insecurities of modern women and will suggest measures for empowerment so that the ultimate goal is achieved. "An enlightened woman is a source of infinite energy."

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Keywords: Women empowerment, Gender equality, Domestic violence, CEDAW

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Currently, Everyone loves to travel by flights . Going along with the study ,the charge of travelling through a plane charge now and then which also includes the day & night time. Additionally , it changes with special times of the year of celebration seasons .There are a unique elements upon which the cost of air transport depends .For example time of the day ,time of take off , number of stops between them , number of days remaining in the month will provide the perfect time to purchase the plane ticket. As a result ,it is a basic understanding of flight rates before booking a vacation will undoubtedly save many individuals money and time. The goal is to investigate the factors that determine the cost of a flight. The data can be used to create a system that predicts flight prices.

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 Keywords

Machine Learning Algorithms, airfare, supervised learning, predictions, flight, Linear Regression, Artificial Neural Network, Random Forest.

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WHO defines that "Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity". The state of human health in a region not only depends on the number of doctors and hospital facilities but also on a clean environment .The term environment means that surrounding space and all materials in it which affect an organism. It includes all the physical and biological surrounding and their interactions. Environmental health as defined by WHO comprises those aspects of human health, including the quality of life, that are determined by physical ,chemical ,biological ,social and psychological factors in the environment. Waste is an unavoidable by-product of most of the activity. Due to rapid urbanization, the food habits of the people changed drastically towards animal protein content food items which led to the increased consumption of meat. Besides this the income and price elasticity of animal protein foods are very high this resulted growing rate of slaughtering of animals in India . Per capita annual increase in meat consumption, high meat export potential, large non-utilization of potential meat and lack of by product utilization etc. leads to many problems and constraints.

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Slaughterhouse, wastage, environment

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