Volume 13 | Issue 5 |

 Abstract

Even though in vitro fertilization (IVF) has advanced significantly over the past three decades, the treatment's effectiveness is still comparatively low. Finding the embryo with the highest chance of producing a child is the main task facing physicians and embryologists. The embryo viability assessment techniques used today only offer a rough indication of potential. Usually, multiple embryos are transferred to the uterus to increase the chances of a successful pregnancy. However, this frequently leads to multiple pregnancies (twins, triplets, etc.)(2), which are linked to a markedly increased risk of serious complications. A more precise evaluation of embryo viability would allow for the transfer of fewer embryos without adversely affecting the rates of IVF pregnancies. Numerous scoring systems based on morphological criteria have been developed to help identify viable embryos. These, however, primarily depend on a subjective visual analysis. More precise quantification of important embryonic traits and the removal of inter- and intra-observer variation are possible with automated evaluation of morphological features. In this paper, we review relevant works on embryo image analysis that could result in an automated and accurate grading of embryo quality, and we describe the primary embryo scoring systems currently in use. We highlight accomplishments, talk about upcoming difficulties, and suggest some potential avenues for further research in this area

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

in vitro fertilization, image analysis, and embryo grading

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bone cancer is a serious medical condition that develops when abnormal cells grow uncontrollably within the bone. It can originate in the bone (primary bone cancer) or spread from other organs (secondary or metastatic bone cancer). Causes include genetic mutations, exposure to radiation, and underlying bone disorders like Paget's disease. Bone cancer may affect individuals at any age but commonly appears in children, teenagers, and older adults. It often goes undetected in its early stages due to vague symptoms such as pain or swelling, leading to delayed diagnosis and treatment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bone Cancer, Convolutional Neural Network, MATLAB, Image Processing, Deep Learning, Medical Imaging

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fear of placements among undergraduate students has become an increasingly prevalent issue, significantly affecting their mental well-being and academic performance. This study aims to analyze and identify the primary factors contributing to placement-related fear, focusing on both internal and external pressures that students face. Factors such as academic self-doubt, the fear of rejection, societal expectations, peer competition, and the perceived difficulty of the recruitment process are examined. By exploring these influences, the study seeks to provide a deeper understanding of how these elements combine to create anxiety, thereby offering potential strategies to mitigate this fear and aims to analyze and identify the primary factors contributing to placement-related fear among undergraduates, exploring both internal and external influences. Ultimately, the goal is to create a supportive environment that helps students navigate placement opportunities with confidence, reducing the psychological burden associated with the transition from university to professional life.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A STUDY ON EFFECTIVENESS OF INSTITUTIONAL SUPPORT IN PLACEMENT PREPARATION

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Tourism Management System presented in this project is a web-based application developed to simplify and automate the core operations of tourism services. Built primarily with PHP and integrated with tools like Razorpay for payment processing, the system allows users to check availability, make bookings, and interact with a built-in chatbot for assistance. It includes modules for customer enquiry, password management, and administrative control. The backend is powered by a structured relational database, as documented in the included ER model and data dictionary, ensuring data consistency and integrity. This system is designed to enhance the efficiency of tourism businesses by reducing manual tasks, improving customer service, and enabling secure, real-time interactions across various touchpoints. The project highlights the technical architecture, implementation workflow, and the benefits of digitalizing tourism operations for scalability and user satisfaction.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tourism Management System, Web-based Application, PHP, Razorpay Integration, Online Booking, Chatbot, Travel Automation, Relational Database, AI in Tourism, Scalable Web Platform

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the formulation and effectiveness of a natural, skin-safe, and eco-friendly mosquito repellent spray using apple cider vinegar and dry herbal powders. Ingredients including neem, tulsi, pudina, clove, camphor, rose water, and apple cider vinegar were combined to create an affordable alternative to chemical-based repellents. Using a herbal infusion technique, the "Anti-Mozzie Spray" was developed and tested indoors. Results showed 80-90% effectiveness for up to four hours. The spray was well-tolerated on skin, had a pleasant herbal scent, and received positive user feedback, demonstrating its potential as a sustainable and conventional mosquito control solution.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Repellent, Environmentally friendly, Skin-safe, Neem, Camphor, Tulsi, Apple cider vinegar, Mosquito, and Herbal spray

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A cross-sectional survey was conducted to assess the prevalence of musculoskeletal disorders (MSDs) among university students at Desh Bhagat University, Mandi Gobindgarh, Punjab. A sample of 300 students (81.3% female, 18.7% male) aged 19-25 years was selected using convenience sampling. Data were collected via an interview schedule and the Nordic Musculoskeletal Questionnaire (NMQ), comprising 25 items on MSD symptoms. Informed written consent was obtained from participants. The study found that 70% of students experienced MSDs in the past 12 months, with pain most prevalent in multiple regions (42.1%), followed by neck (12.7%) and lower back (6.7%). The mean prevalence rate was 70% with a standard deviation of 3.2. Risk factors included prolonged study hours (44.3%), computer use (71%), and lack of physical activity (57.3%). Sleep duration was significantly associated with MSD prevalence (p=0.004). The findings indicate a high MSD burden among students, necessitating ergonomic interventions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Musculoskeletal disorders, university students, prevalence, risk factors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Job satisfaction, employee satisfaction or work satisfaction is a measure of workers' contentment with their job, whether they like the job or individual aspects or facets of jobs, such as nature of work or supervision. The aim of the present paper is to review the concept of Job satisfaction, identify the factors influencing job satisfaction in general and to gather data from the Srikalahasthi Pipes Ltd., located at Srikalahsthi, Tirupati district of Andhra Pradesh to find the level of job satisfaction. Based on the factors influencing job satisfaction and employees attitudes the data is drawn from 120 respondents in the study area. The findings reveal that the employee's responses are very much influenced by their job skills, pay, medical and canteen facilities etc., The study concludes that the employees are very much satisfied in the organization.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job Satisfaction, Employee Performance, Human Resources

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented Reality (AR) has emerged as a disruptive force in the digital age, transforming the way users interact with virtual content by merging real-world environments with computer-generated visuals. One of the most promising applications of AR lies in the retail sector, where it offers a solution to long-standing challenges such as limited product visualization, poor user engagement, and high product return rates. This paper introduces the AR Try-On Watch Application, a mobile-based AR solution designed to provide users with a virtual try-on experience for wristwatches, enhancing both convenience and confidence in online shopping. The application is developed using Unity 3D for game development, Vuforia SDK for image recognition and tracking, C# scripting for dynamic functionalities, and Blender for creating detailed 3D watch models. It employs marker-based AR technology, where a printed image (marker) is used to anchor virtual content onto the user's wrist. Once the camera detects the marker, the system overlays the corresponding 3D watch model, accurately adjusting to movement and perspective. This interaction allows users to visualize various watch designs in real time, switch between models, and customize features such as strap style and color. The user interface, constructed using Unity's Canvas system, is designed to be intuitive and responsive, offering seamless navigation and real-time interaction. The application supports multiple watch models and customization options, offering a personalized experience tailored to user preferences. By incorporating realistic 3D visualization, the system replicates the feel of an in-store try-on session, significantly improving product understanding and satisfaction. In the context of post-pandemic retail trends, where contactless and remote shopping are increasingly favored, this application provides a timely and practical solution. Moreover, it generates valuable user interaction data that can be leveraged for personalized marketing and business insights. The lightweight architecture ensures smooth performance on Android devices, making the application both scalable and accessible.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality (AR), Virtual Try-On, Marker-Based Tracking, Unity 3D, Vuforia SDK, C# Programming, 3D Modeling, Blender, E-commerce, Interactive Shopping, Mobile Application, Wristwatch Visualization, Post-Pandemic Retail, User Experience, Digital Retail Solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dietary management is essential for maintaining a healthy lifestyle, yet traditional food tracking methods such as manual calorie counting and handwritten food diaries are often inaccurate and inconvenient. To address these challenges, this research presents NutriSnap: An Advanced Food Detection and Dietary Management System, which leverages deep learning models for real-time food detection, classification, and AI-driven personalized recommendations. The system allows users to capture or upload food images, automatically identifying food items and providing real-time nutritional analysis, including calorie counts, macronutrient breakdowns, and allergen alerts. Additionally, NutriSnap offers customized meal recommendations based on user preferences, dietary restrictions, and fitness goals. The system has been evaluated for food detection accuracy and classification performance, demonstrating its effectiveness in automating dietary tracking. While challenges such as food presentation variations and portion size estimation remain, the system provides a more efficient and automated alternative to manual food logging. Future improvements, such as enhanced portion size estimation, integration with fitness applications, and mobile app development, will further enhance usability and accuracy. By bridging the gap between food recognition, nutritional analysis, and AI-driven dietary recommendations, NutriSnap aims to help users make informed food choices and adopt healthier eating habits.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food detection, machine learning, deep learning, MobileNetV2, Yolov8, CNN, dietary management, nutritional analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Urban storm water drainage systems in India have historically been secondary to water supply and sewerage, a situation worsened by rapid urbanization and migration that strains existing infrastructure. This contributes to urban floods when heavy rainfall overwhelms drainage capacity. Mega cities, with their long history of municipal drainage dating back to the British era, often rely on antiquated, combined sewage and storm water systems, making upgrades and separation projects technically and financially challenging.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

climate change,key drivers,real time governance,reuse,urban hydrology,urbanization

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Creative Commons Attribution 4.0 and The Open Definition