Volume 12 | Issue 5

 Abstract

Palmoplantar psoriasis (PP) is a type of psoriasis that develops on the palms and soles; however, the disease can be associated with many different morphologic patterns, including predominantly pustular lesions to thick scaly, hyperkeratotic plaques, or an overlapping of both of them. Psoriasis is an inflammatory, proliferative, chronic skin disease in which there are scaly papules and plaques that can involve any part of the body. Studies reveal that 2-3% of people have psoriasis, and 3-4% of those with psoriasis also have palmoplantar psoriasis. You can get palmoplantar psoriasis at any age. Human leukocyte antigen (HLA) Cw6 is the most often found genetic component linked to palmoplantar psoriasis. On the palms and soles, psoriasis can manifest as pustulosis, less well-defined plaques that resemble hyperkeratotic eczema, or typical scaly areas that can be scratched to reveal a fine silvery scale. It is crucial to distinguish palmoplantar psoriasis from other morphologically similar disorders such as hyperkeratotic eczema, dermatophytosis, and contact dermatitis, as the former may go undiagnosed. Usually unilateral, dermatophytosis is amenable to antifungal therapy. Psoriasis and hyperkeratotic eczema can occasionally be difficult to differentiate from one another. Underreported is the prevalence of palmoplantar psoriasis. In actuality, it is leading the race. Additional research is necessary to confirm the evolving situation.

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Palmoplantar psoriasis, Hyperkeratoic plaques, Human leukocyte antigen, Pustular lesions

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This research presents an innovative approach to optimizing the Critical Path Method (CPM) for manufacturing engineering projects. While CPM is a staple in project management, its application in manufacturing often encounters challenges due to the complex nature of processes and dependencies. Our study proposes a holistic methodology integrating advanced mathematical models, simulation techniques, and artificial intelligence (AI) to enhance project scheduling, resource allocation, and risk management. Key components include mathematical modeling to capture intricate task relationships, simulation methods for handling uncertainties, AI algorithms for predictive analysis, resource optimization, and robust risk management strategies. This comprehensive approach addresses manufacturing-specific challenges, offering a more adaptive scheduling mechanism. Case studies demonstrate its effectiveness compared to traditional CPM methods, showcasing its potential to improve project outcomes in the dynamic manufacturing landscape.

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Critical Path Method, Management Strategies, CAD, CNC, Pattern Making.

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Urbanization, the transition from rural to urban lifestyles, signifies a cyclical process pivotal to a nation's shift from agrarian to industrial societies. It entails a demographic shift, characterized by an increasing proportion of the population residing in urban areas, accompanied by structural and behavioural transformations that influence both people and places. This global phenomenon brings forth developmental opportunities alongside adverse effects, often stemming from unplanned urbanization practices. This study investigates the demographic characteristics, dynamics of the slum population, and the extent of urbanization within Jalpaiguri Municipality, an area of significant strategic importance in West Bengal as well as North East India. Despite its pivotal role, Jalpaiguri town grapples with demographic and environmental challenges exacerbated by rapid and disorganized urbanization. The study aims to elucidate the Demographic Characteristics and Slum Population Dynamics and analyze the prevalent demographic and environmental issues. Methodologically, secondary data collection and cartographic techniques, including the use of Microsoft Excel and Q-GIS software, are employed. The findings of this research endeavour not only shed light on the Demographic Characteristics but also offer insights into Slum Population Dynamics in Jalpaiguri Municipality

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Demography, Urbanization, Dynamic, Slum Population, Population Growth, Sex Composition.

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The evaluation of academic performance has been a Traditional procedure within the realm of education for an extensive period. The primary objective of education is to foster holistic development in individuals by imparting knowledge, skills, and instilling values in them. However, over time, the focus of formal education has shifted predominantly towards the academic success of students, thereby narrowing the broader objectives of education. This contemporary investigation aimed to explore the relationship between the academic accomplishments of senior secondary school students and their academic procrastination. A sample of 250 students was selected from various senior secondary schools in Aligarh district, Uttar Pradesh, utilizing a simple random sampling method. The researchers employed the Academic Procrastination Scale, developed and standardized by Bharti Bhardwaj & Dr. Gunjan Dubey (2023), as research instruments to gather data. The findings revealed a correlation between academic achievement and academic procrastination. Notably, there was no significant statistical disparity in scholastic achievement and academic procrastination concerning gender and locality among the senior secondary students. However, a significant difference was observed based on the type of school, indicating variance between government and private institutions. Furthermore, the study unveiled a significant main and interaction effect of academic procrastination on academic achievement. Additionally, academic procrastination emerged as a significant predictor of academic success among senior secondary school students.

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Academic Procrastination, Academic performance, senior secondary students, Descriptive survey study.

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Human trafficking, which takes many different forms and exploits countless people, is a terrible stain on the fabric of international society. This research paper explores the complexities of contemporary slavery, analyzing its underlying roots, systemic continuation, and the ongoing fight for human rights. Fundamentally, human trafficking is fueled by vulnerability, which is frequently caused by structural injustices. This essay examines the interconnectedness of issues that make people more vulnerable to exploitation, including poverty, gender discrimination, and a lack of educational possibilities. Examined as enablers are globalization and migration trends, which show how displaced populations and permeable borders foster conditions that support traffickers' illegal activity. Although law enforcement and legal frameworks are vital in the fight against human trafficking, there are still gaps in their efficacy. The study underlines the necessity of a more globalized and unified legal strategy that recognizes the international scope of this crime. This study emphasizes the continued need for research, education, and innovation as the battle against human trafficking develops. It demands an all-encompassing comprehension of the problem, recognizing its dynamic character and the advent of fresh difficulties. Through the promotion of an international culture that opposes the exploitation of marginalized groups, societies can create the conditions for a time when human rights are respected by all and the bonds of modern-day slavery are firmly severed.

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Human trafficking, Human rights, Gender discrimination, Vulnerability, Globalization.

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The purpose of the study was to assess the effectiveness of planned teaching program on knowledge, attitude and practice regarding Utilization Of Human Milk Banking among Postnatal LSCS Mothers in the selected hospital of Delhi NCR. A pre- experimental one group pretest and post test design was used. Non probability purposive sampling technique was adopted to select the Postnatal LSCS Mothers at selected hospital of Delhi NCR. The tools used for data collection were structured knowledge questionnaire, structured LIKERT attitude scale and observational practice checklist. The findings of the study indicated that there was no significant relationship between the demographic data with knowledge, attitude and practice

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A Pre-Experimental Study To Assess The Effectiveness Of Planned Teaching Program On Knowledge, Attitude And Practice Regarding Utilization Of Human Milk Banking Among Postnatal LSCS Mothers In The Selected Hospital Of Delhi NCR.

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This present study investigates the potential of Mindfulness-Based Stress Reduction (MBSR) as an intervention for alleviating loneliness and reducing social withdrawal among individuals struggling with alcohol addiction. Loneliness and social withdrawal are prevalent issues among individuals grappling with substance use disorders, exacerbating their psychological distress and hindering their recovery process. However, limited research has explored the efficacy of mindfulness-based interventions specifically tailored for this population. A sample size of 10 alcohol addicts participated in an 8-week MBSR program, involving mindfulness meditation, body awareness exercises, and group discussions. Quantitative measures assessing loneliness and social withdrawal were administered at baseline, post-intervention, and follow-up sessions. Qualitative data regarding participants' experiences and perceptions of the program were also collected through semi-structured interviews. Preliminary findings suggest a potential reduction in loneliness and social withdrawal following the MBSR intervention. Participants reported increased self-awareness, emotional regulation, and a greater sense of connection with others. However, the small sample size and lack of a control group limit the generalizability of the results. Further research with larger sample sizes and rigorous study designs is warranted to validate the effectiveness of MBSR as a complementary approach in addressing loneliness and social withdrawal among individuals with alcohol addiction.

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Alcohol addicts, Loneliness, social withdrawal, MBSR.

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With the development of Internet, and the increase of digital multimedia communication services, satellite communication is developing rapidly. Communications via low-orbit satellites are increasingly significant. Most of the existing automatic tracking schemes drive the tracking system based on the beacon signal or forwarded pilot signal transmitted by the received satellite. The Automatic antenna positioning system primarily functions to identify the source of signal. The system can detect signals of various types, recognizing specific signals and adjusting the antenna's position to optimize signal strength reception. Whenever the receiver receives the signal with minimum strength it automatically changes its position. Next, regulate the antenna to align with the target satellite, ensuring automatic tracking of low-orbit satellites with minimal deviation and reliable stability. Compared with traditional satellite ground stations, the system achieves low-cost and miniaturized automatic tracking of low-orbit satellites.

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Satellite tracking, LEO, Satellite transmissions, AMSAT, Real-time tracking, Rotor

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Abstract The impact of COVID-19 on the share price of tourism-related companies in India has been significant. India, like many other countries, imposed lockdowns and travel restrictions to control the spread of the virus, which severely affected the tourism industry like all the other sectors of the economy. The restrictions led to a sharp drop in both domestic and international travel, causing many tourism-related companies to suffer losses. This article looks into the daily share prices of Indian Tourism Development Corporation Ltd. (ITDC) by using an event study methodology with the use of MS Excel software. The stock prices prior to and after 30 weeks from the date of the announcement of the nationwide lockdown i.e, March 24,2021 are selected for analysis. The data is collected from the NSE website. It has been discovered that the announcement of lock down as a result of the pandemic had a significant impact on the price and returns of its shares.

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Covid-19, Tourism companies, Share Price, Market Price, Securities Market

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This article proposes a cloud management system based on blockchain technology that uses a blockchain wallet for user authentication and integration with the Filecoin network. Users can securely store and share information by providing access control through smart contracts. This new system aims to address data security, privacy and availability in traditional cloud storage solutions. The design, process and details of the project are discussed and the optimization of the system is demonstrated. The study concludes by showing the consequences of the solution and its potential impact on the climate storage environment.

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In this Research Paper, a sample of 100 participants' psychological resilience, conformance to masculine standards, and perceived social support were all examined. Data were collected using self-report measures, and correlations were examined to assess the associations between variables. The findings revealed a negligible negative correlation between perceived social support and conformity to masculine norms (r = -0.009, p > 0.01), indicating that social support was not significantly associated with adherence to traditional masculinity. However, a moderate positive correlation was observed between perceived social support and psychological resilience (r = 0.462, p < 0.01), highlighting the importance of social support in fostering resilience. Additionally, a weak positive correlation was found between conformity to masculine norms and psychological resilience (r = 0.265, p < 0.01), suggesting a modest association between adherence to masculine norms and resilience.

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Perceived Social Support, Masculine Norms, Resilience

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This research article presents a detailed case study on the mechanical properties of clay bricks, specifically examining their density, compressive strength, and flexural strength. The study involves collecting clay brick samples and conducting laboratory tests to measure these properties. The primary objective is to assess the quality of the clay bricks by analysing the correlations between density, compressive strength, and flexural strength. The results of this study provide insights into the strength characteristics of clay bricks, enabling a comprehensive evaluation of their quality and classification.

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Clay brick samples, density, Compressive strength and flexural strength.

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Gas Monitoring & Ventilation System In the Underground Coal Mine" presents the design and implementation of a Gas Monitoring & Ventilation System for underground coal mines using an Arduino Nano board, MQ2 gas sensors, flame sensors, and ventilation fans. The system monitors hazardous gases and flames in real-time, triggering ventilation fans to mitigate risks when dangerous levels are detected. The goal is to enhance miner safety, reduce the risk of accidents, and ensure compliance with safety regulations. The paper also discusses the advancements in underground gas testing and reviews significant mine disasters to highlight the system's importance.

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Risk Factors ,Gas Monitoring , Gas Alerting , Automatic Ventilation System.

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In today's world, conscious consumers increasingly favor companies dedicated to social and environmental good. Recognizing this, Corporate Social Responsibility (CSR) initiatives are gaining traction. But do they truly strengthen brand loyalty and organizational sustainability? Research suggests a resounding "yes." Effective CSR initiatives can cultivate positive brand reputation, trust, and loyalty, leading to higher customer engagement and market share. Additionally, attracting and retaining talented employees through strong CSR practices fosters a positive work environment and boosts productivity. Furthermore, sustainable practices inherent to CSR can reduce costs, mitigate risks, and improve operational efficiency, contributing to long-term organizational sustainability. However, it's crucial to avoid greenwashing - inauthentic CSR efforts that damage brand reputation. Transparency and genuine commitment are key. Studies show a positive correlation between perceived CSR and brand loyalty, with consumers actively choosing and remaining loyal to responsible brands. Moreover, strong CSR practices are often associated with higher profitability and shareholder value. While measuring the impact of CSR on brand loyalty and sustainability can be complex, the potential benefits are undeniable. Further research will explore the long- term impact across various industries and demographics, refine communication strategies, and develop robust metrics to measure CSR's true impact on stakeholders. In conclusion, well-designed and authentic CSR initiatives hold significant potential to build brand loyalty, contribute to organizational sustainability, and create a positive impact on society and the environment.

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corporate social responsibility ; sustainability ; brand loyalty ; consumer ; practises

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Waste management is an essential part of health care. Poor management of health care waste exposes health care workers, waste handlers and the community to infections, toxic effects and injuries, and risks that pollute the environment. Of the total amount of waste generated by health care activities, 15% is considered hazardous material that may be infectious, chemical or radioactive. In 2010, unsafe injections were responsible for as many as 33 800 new HIV infections, 1.7 million hepatitis B infections and 315 000 hepatitis C infections.

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B.Sc. nursing students bio medical waste management, Nursing College

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As per new CBME pattern there are many teaching- learning methods, some of them are new methods like role play. This study was conducted to know the effectiveness of Role-Play versus conventional lectures. Students do not find conventional methods like lectures, chalk and board and other teaching methods interesting hence this study was conducted to find out whether a new method will create an interest among students which will also increase their understanding of the subject along with learning.

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Role-Play, Teaching Method, Learning Method, Conventioonal Method, Lectures.

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The SCADA system, crucial for monitoring smart grid performance, faces cyber threats due to weak communication protocol protection. Hackers exploit these vulnerabilities to inject false data, causing delayed detection and posing risks of infrastructure damage and fatalities. This study proposes the MSPPNet algorithm to identify and classify cyber attacks, utilizing deep learning and metaheuristic optimization. Evaluation on a dataset from Mississippi State University's Oak Ridge National Laboratory compares MSPPNet with traditional supervised learning methods. Results reveal MSPPNet's superior performance, achieving an 82% accuracy in binary classification. This algorithm enhances security in SCADA systems, mitigating risks of false data injection and deceptive manipulation by attackers. By leveraging advanced machine learning techniques, this research contributes to safeguarding critical infrastructure and ensuring the reliability and safety of smart grids.

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Artificial neural network, artificial root foraging, cyber security, deep learning, machine learning, metaheuristic algorithm, supervisory control and data acquisition, smart grid.

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Hegemonic Masculinity, Emphasised Femininity, Naga women, Naga culture, violence.

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Staff turnover in the hospitality industry, particularly in hotels, remains a persistent challenge with significant implications for organizational performance and service quality. This paper delves into the complexities of this phenomenon, aiming to uncover its underlying causes, consequences, and potential solutions. Through a comprehensive review of existing literature, this research seeks to shed light on the factors contributing to high turnover rates among hotel staff, including job dissatisfaction, low morale, inadequate compensation, and limited opportunities for career advancement. Additionally, it explores the ripple effects of staff turnover on organizational effectiveness, guest satisfaction, and overall reputation. By understanding the multifaceted nature of turnover in the hospitality sector, this study aims to provide valuable insights and practical strategies for hotel management to mitigate turnover rates, enhance employee retention, and ultimately foster a more stable and productive workforce.

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"Navigating the Revolving Door: Understanding Annual Staff Turnover in the Hospitality Industry"

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Image manipulation has become increasingly prevalent in today's society, with powerful editing tools allowing for easy and sophisticated changes to be made to digital images. However, this has also led to the misuse of digitally manipulated images for fraudulent, propaganda, and deceptive purposes. In response, deep learning algorithms, such as Convolutional Neural Networks (CNNs) have been developed accurately and efficiently for detecting various types of image forgeries, such as copy-move, splicing, retouching, and more. This paper outlines the key elements of the powerful image editing tools available, the misuse of digitally manipulated images, and the potential of deep learning algorithms for detecting image forgeries. Industry-standard image editing software like Adobe Photoshop and GIMP, have revolutionized the way digital images are edited and manipulated. These tools offer advanced features such as layers, filters, and masks, allowing precise and sophisticated changes to be made to images. For example, layers allow for different elements of an image to be edited separately, while filters provide a range of effects that can be applied to an image. As image manipulation techniques continue to evolve, the integration of deep learning with image processing holds great promise in ensuring the authenticity and credibility of images in the digital era.

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Image Image Tampering, Machine Learning, Convolutional Neural Networks, Deep Learning, Tampering Methods, Detection Tools

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