Volume 12 | Issue 12 |

 Abstract

Background: To study the effect of high viscosity and low viscosity artificial tears on keratometry readings in cataract patients. Materials and Methods :An observational study assessing the effect of high viscosity and low viscosity artificial tears on keratometry readings in cataract patients. Results: Significant mean difference is noted in keratometry readings before and after instillation of high viscosity and low viscosity tears but the high viscosity group shows more significant mean difference compared to low viscosity group. Conclusion: The keratometry readings were substantially influenced by tear film stabilizing eye drops prior to keratometry measurements. The effect is stronger and lasts longer when the eye drops have a higher viscosity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial tears, cataract, keratometry

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Introduction: Deleterious oral habits in children, such as thumb sucking, nail biting, and prolonged pacifier use, can adversely affect the stomatognathic system, leading to malocclusions, intraoral defects, and increased susceptibility to dental caries. This study aims to investigate the relationship between these habits and the development of dental caries in children aged 6-10 years, while also exploring the role of guardians and healthcare providers in implementing effective interventions. Methodology: A cross-sectional study was conducted involving 211 children, aged 6-10 years, subjected with no severe systemic illness and comprising mixed dentition were selected from the outpatient department of M.A. Rangoonwala Dental College and its satellite centers. A close-ended questionnaire comprising 21 questions was filled by parents to gather demographic details, oral hygiene practices, and the presence of deleterious oral habits. Clinical examinations were performed to assess dental caries using the deft (decayed, extracted, filled primary teeth) and DMFT (decayed, missing, filled permanent teeth) indices. Results: The study revealed that 37% of children with dental caries exhibited no oral habits, while thumb sucking (16.5%) was the most prevalent habit, followed by nail biting (10.4%). The analysis indicated that children with oral habits had significantly higher mean deft scores (5.43 for thumb sucking) compared to those without habits (1.91). The mean DMFT score was also elevated among children with habits, particularly in those who engaged in thumb sucking and mouth breathing. The findings suggest a strong correlation between deleterious oral habits and increased dental caries prevalence. Conclusion: The study reported the significant impact of deleterious oral habits on dental health in children, highlighting the need for targeted interventions and comprehensive oral health education. Early identification and management of these habits are important in preventing dental caries and promoting overall oral health.

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 Keywords

Keywords: Deleterious oral habits, Children, Thumb sucking, Nail biting, Mouth breathing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artworks, encompassing a diverse array of mediums and designs, are expressions of creative imagination, emotions, and aesthetic pleasure. However, art cannot be viewed solely as creative expression. The unprecedented surge in art funding has raised questions about the viability of the art market and the risks and potential returns associated with it. This paper examines the intersection of art and economics, studying the progression of art investments over time. It also analyzes the financial potential of this investment avenue, assessing its payouts and drawbacks. Furthermore, the paper explores the future prospects of the art industry.

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Creative Commons Attribution 4.0 and The Open Definition

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Art Investment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Marketing may be described as the process of defining, anticipating and knowing customer needs, and managing all the resources of the organizing to satisfy them. The satisfaction of customer's needs and wants provides the existence for the organization. The consumer's behavior comprises the acts, processes and social relationships shown by individuals, groups and organizations with products and services.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marketing,Relationship,Products,Services,Consumer Behaviour

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over 41 percent of India's urban population lives in slums. A slum is defined as an area unfit for human habitation because of dilapidated buildings, overcrowding, faulty arrangement and design of buildings, narrowness or faulty arrangement of streets, lack of ventilation, light or sanitation facilities or any other combination of these factors, as per the Slum Areas Improvement and Clearance Act 1956. Resettlement of urban poor from slums to affordable housing is one of the important poverty eradication measures taken by the Government. Resettlement includes in situ rehabilitation into better houses as well as relocation to tenements constructed in another locality. There are over 1.7 lakh storied tenements constructed in Tamil Nadu for resettlement of urban poor. Relocation involves a major shock to the resident, as they face loss of habitat and livelihood, along with their social circle and traditions linked to the locality. Loss of livelihood and reduction in income can leave the resettled urban poor even more vulnerable. This study aims to identify and study the major factors that have the most impact on the loss of livelihood among relocated urban poor. These factors include distance from the previous workplace, loss of social network and connections, local competition from relocated area, reduction in economic opportunities as they shift to periphery of the city from the city centre as well as any infrastructure constraints in the tenement complex. A convenience sample of 127 residents of storied tenements in Chennai were randomly selected as the sample for study and descriptive research design was used to gather primary data for analysis. Percentage analysis, mean scores and one way anova were used to analyse the results and arrive at conclusions about what factors were impacting their livelihood the most when they relocate to their allotted tenements, with an analysis of gender variations in the impact of each of the factors.

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 Keywords

Relocation on the livelihood, Resettled urban poor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper details the development of an Artificial Neural Network (ANN) model designed to optimize the path planning algorithms chosen for autonomous robots in environments populated with obstacles, where the obstacles are represented as circles with various radii as input features to the model. The goal of the ANN is to predict the best algorithm for path planning out of a set of candidates, namely APF, SAPF, DWA, and VAPF. The model has been trained using regression analysis to determine the performance of the algorithm with minimum traversal time by choosing the one that takes the minimum time efficiency of speed for each configuration. Therefore, this method is for enhancing autonomous navigation by dynamically selecting the fastest and safest path planning strategy in real time.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Path Planning Algorithms, Classifier Neural Networks, Static Path Avoidance, Path Selection, Potential Field Algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project involves designing and constructing an RGB LED TV remote control without using Arduino or other microcontroller platforms. The aim is to create a remote control device capable of changing the colors and brightness of RGB LEDs used as ambient lighting for a TV setup. This system will utilize discrete electronic components such as infrared (IR) transmitters, IR receivers, logic circuits, and transistors to achieve the desired functionality. The device is designed to be low-cost, reliable, and suitable for DIY enthusiasts or educational purposes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RGB, TV, Remote Control etc.

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Creative Commons Attribution 4.0 and The Open Definition

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Modern security infrastructure must include intrusion detection systems (IDS) in order to prevent unwanted access to sensitive locations. Conventional IDS technology, such CCTV cameras, motion detectors, and infrared sensors, have drawbacks in terms of false alarms, sensitivity to environmental changes, and evasion vulnerability. The application of laser-based intrusion detection systems, which provide a more accurate, non-contact substitute for traditional techniques, is examined in this paper. The capacity of laser systems to provide extremely precise and dependable monitoring, especially under difficult environmental circumstances, has been researched. These systems use laser beams to build invisible detection boundaries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Intrusion detection, Laser guard, Security etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

American Sign Language (ASL) recognition has achieved significant attention due to its potential to bridge the communication gap between the hearing and deaf communities. Recent advancements in machine learning (ML) and deep learning (DL) have revolutionized ASL recognition systems, enabling more accurate and efficient interpretation of hand gestures, facial expressions, and body movements. This study explores state-of-the-art approaches to ASL recognition using ML and DL techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based architectures. The paper discusses key challenges such as variability in signing styles, complex gestures, and dynamic movement, while addressing solutions such as data augmentation, transfer learning, and multi-modal integration of vision and sensor-based data. Furthermore, the incorporation of attention mechanisms and real-time processing capabilities is examined to improve system adaptability and usability. Experimental results demonstrate that these methodologies achieve high recognition accuracy, with potential applications in real-time translation devices and educational tools. This research underscores the transformative role of ML and DL in enhancing accessibility and inclusivity for the deaf and hard-of-hearing community.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sign Language Recognition,Manifold learning, Machine learning, Deep learning, CNN, Dimension reduction

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper investigates the implications of the Goods and Services Tax (GST) Act in Gwalior District in the aftermath of the COVID-19 pandemic. Implemented on July 1, 2017, GST was designed to unify the indirect tax system in India. However, the pandemic disrupted economic activities significantly, challenging businesses and altering consumer behavior. This study employs a mixed-method approach, combining qualitative interviews with local business owners and quantitative analysis of GST revenue data, to assess GST's effectiveness in facilitating economic recovery. The findings indicate a need for reforms in the GST framework to support sustainable growth in the post-pandemic economy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords : Goods and Services Tax, GST, COVID-19, Gwalior, Economic Recovery, Fiscal Policy

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Creative Commons Attribution 4.0 and The Open Definition