Volume 12 | Issue 3

 Abstract

Chemotherapy is typically used in conjunction with surgery to treat cancer, particularly breast cancer, which is one of the most common cancers to affect women. The quality of life may be negatively impacted by radiation therapy due to a variety of side effects, including exhaustion, mucositis, and skin abnormalities. Personal protection equipment (PPE) is used by oncology nurses in the United States when handling and giving chemotherapy medications to cancer patients. The American Public Health Association (APHA), the Occupational Safety and Health Administration (OSHA), and the National Institute for Occupational Safety and Health (NIOSH) all have uniform recommendations for PPE gowns that are intended to protect individuals from potentially hazardous spills. Made of lint-free, low-permeability fabric, such as fabrics coated with polyethylene, each disposable garment is one size fits all. Long sleeves, a solid front, and ribbed cuffs with a back closure are features of gowns. The patient's reaction to the nurse's presence is equally essential as the staff workers' safety when handing out medicines. In an outpatient environment, patients receive chemotherapy while dressed for the street. The whole picture can be frightening when the nurse arrives dressed in garish, noisy attire. In addition, nurses who were surveyed regarding their experiences expressed dissatisfaction with the clothes' temperature and discomfort. This review paper hypothesizes that the comfort and ease of both nurses and cancer patients might be greatly enhanced through attractive, user-friendly garments made of breathable, washable textiles with a technician-safe, patient-friendly standard, faculty-led designers created a design challenge with customizable sizes. Our study, which was designed to be descriptive in nature, examined the relationship between radiation therapy comfort and quality of life in patients with breast cancer.

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Key Words: Cancer, Chemotherapy, Comfort, Garments.

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In the domain of digital computing, the quest for higher performance, energy efficiency, and miniaturization has driven the exploration of alternative technologies to overcome the limitations of traditional Complementary Metal-Oxide-Semiconductor(CMOS) technology. Quantum Dot Cellular Automata (QCA) has emerges as a promising candidate for revolutionizing the field of digital circuits, offering the potential to push the boundaries of speed and power efficiency. Arithmetic Logic Unit, also known as ALU, is responsible for carrying out logical and arithmetic operations based on the input operands. The proposed Arithmetic Logic Unit is fed input through layering, which results in reduced occupation area and cell count. It consists of half adder and NAND gate followed by two 2 x1 Multiplexer. The proposed design of a half adder and NAND gate (used for And operation) uses less space, less cells, and low energy dissipation than the existing design.

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QCA - Quantum Dot Cellular Automata, QCA Cell, QCA Designer, ALU - Arithmetic Logic Unit

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Vedic Mathematics is used by several researchers in the field of digital signal processing , chip designing, Discrete fourier Transform, High speed low power VLSI arithematic and algorithm , RSA encryption system. Veda is the store house of Knowledge. Hence Vedic Mathematics has a much ancient origin throgh attributed to the techniques rediscovered between 1911 & 1918 . Now a days interest in Vedic mathematics is growing in the field of computer science where researchers are looking for a new and better knowledge to the subject . Even for eign researcher's are said to be using this ancient technique for implementation of fast algorithms. In this paper we are going to overview of this ancient technique used as well as computer science. Whenever we many Vedic sutras are used in multipliers unit of computer science. It will gone very faster result which is required in cryptographs. Algorithm image processing application for example Ekadhiken purvena and Ekanyainen purvena, sutra use in i< -i+1 & i<-i-1 in software routinse.

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Vedic Mathematics, Nikhilam Sutra , Urdhwa tiryabhyam, RSA algorithm , image processing , Dhavasankasutra, Parvartya Sutra

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This summary gives a broad overview of the complex interaction between psychology and the social sciences, showing the many ways in which these two fields cross and help us understand how people behave and how societies work. Sociology, anthropology, political science, economics, and other fields are all included in the social sciences and psychology. In order to better understand the intricacies of human cognition, emotions, social relationships, and societal systems, these fields frequently collaborate and cross over. In the social sciences, psychology, which is the study of the mind and behaviours, is crucial because it sheds light on both individual and group dynamics. It explores the subtleties of human perception, motivation, emotion, and cognition and lays the groundwork for other social sciences. Social psychology, for instance, studies how individuals' thoughts and feelings influence their interactions with others, contributing to the understanding of social norms, stereotypes, and group behaviour.

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Study on psychology and social sciences impacting mental health, decision making, and gender stereotypes. (Referring to Bangalore - Under graduate students)

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Pharmacogenomics is a field of pharmacology that examines how genetic variation affects a patient's reaction to a medicine by connecting a treatment's efficacy or toxicity to gene expression or single-nucleotide polymorphisms. In order to achieve optimum efficacy with a minimum of side effects, it strives to establish logical methods to optimize pharmacological therapy with respect to the patient's genotype. Such strategies signal the coming of personalized medicine, where medications and treatment combinations are tailored to each person's specific genetic profile. Pharmacogenomics, or "whole genome pharmacogenetics," is the study of how individual genes interact with medications. Understanding the advantages and disadvantages of novel genotyping technologies' potential utility for pharmacogenomics (PGx) is necessary for the ongoing development of these technologies.

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Pharmacogenetics; Singlenucleotide polymorphisms; Genomics; Genotype.

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The main aim of this innovative research is to design a wearable device which is based on artificial intelligence (AI), and it is used to detect the HRV (heart rate variability) and anxiety management. This study integrates advanced sensor technologies, which include PPG, accelerometer, and GSR sensors and consequently continually capture vital physiological information. The AI algorithms applied in this device, for example, machine learning and deep learning approaches, are used to figure out the trends and the patterns, which often are subtle, from the analysed data and to link them to HRV and stress levels. This research contributes to the urgent demand for an advanced technology that helps users gain insights into their state of health by providing them with actionable data on their physiological wellness [a]. This device which presents information in real time through values of HRV, stress level, and triggers can direct people to make wise decisions about their daily activities and lifestyle. Moreover, the device streamlines the challenging interface by developing mobile applications or wearable displays. These interfaces make the user experience easy and encourage them to engage with the device in their daily routines. The rapidly evolving wearable technology and healthcare innovation scenery for this study represents a prominent step forward in the way of personalized health monitoring and management. My proposed device can create on-the-spot finances for the well-being of users, providing them with preventive care and helping them to feel more in charge of their health. With much more research and development in the pipeline, this device could change the way people track their health and lifestyle, contributing to a total wellness and good life quality.

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Artificial intelligence, Stress management, Heart rate variability, accelerometer, and GSR sensors, SpO2 sensors of Blood Oxygen, RMSSD or SDNN

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Electronic banking is the electronic means of interaction between bankers and the public (customers). E-banking enables encrypts transaction over the internet of the customers. India is more digitalized, which is crucial for banks offering e-banking services to their customers. E-banking services offer a lot of convenience to both parties participating in this platform. HDFC Bank customer satisfaction with e-banking services was analysed. The sample size of the study was 102 respondents. The data for this study was of two types. It is primary data and secondary data. Primary data collected through online questionnaires. Secondary data was collected from books, journals, articles, magazines, etc., The convenience sampling method is used to select the sample. The aim of this study is to determine the use of e-banking services based on age and to determine the platform most frequently used by customers for accessing e-banking services. The statistical tool used to analyse the data was percentage analysis, t-test and Garrett Ranking. The results of this study show that the majority of electronic banking users in this age group are under 25 years old. The most common platform for using the e-banking service is mobile. This research concluded that banks need to work to provide good server services and require two-factor authentication for securities.

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E-banking, Customer satisfaction and risks

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The pathogenic fungi were collected from Kuwana Forest which is a part of North Tarai Region of Uttar Pradesh during January to February, 2024. The authors collected two fungal genera with eight fungal species has been found on nine different angiospermic plant species which belong to nine genera of nine families.

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Pathogenic fungi, Kuwana Forest, North Tarai Forest, Uttar Pradesh.

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Road accidents in India have been rising day by day. According to report of Ministry of Road Transport and Highways, 22% of the accidents is due to drowsiness of driver. So, we have developed drowsiness detection which will identify the state of the driver.

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Drowsiness Detection, Driver State.

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Throughout history, herbal medicines have been the primary treatment in traditional medicine. Punica granatum is renowned for its medicinal properties attributed to its diverse chemical composition. Pomegranates have been used for ages to treat a wide range of illnesses in various medical systems. Examining the presence of different phytochemicals in Punica granatum leaf methanolic extracts was the aim of the current study. The contents of the leaf extracts were discovered to include carbohydrates, alkaloids, flavonoids, steroids, glycosides, saponins, and tannins. Punica granatum methanolic leaf extracts contained alkaloids, flavonoids, terpenoids, tannins, steroids, glycosides, and carbohydrates, as shown by the phytochemical screening. These bioactive substances may be involved in Punica granatum therapeutic effects. They are well-known for their therapeutic qualities. Additionally, the photoluminescence investigation shed light on the fluorescence properties of Punica granatum leaves under varied light conditions and wavelengths. Understanding Punica granatum chemical makeup and possible uses in various fields is made easier by this analysis.

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Punica granatum, phytochemical screening, Photoluminance study, thin layer chromatography

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ABSTRACT The objective of this research study is to analyse the growth of MSMEs in the Indian state of Jharkhand from 2018 to 2023.The study is based on secondary data analysis of MSME accounts and financial amounts reported in annual reports and data from State Level Bankers Committee, Government of Jharkhand. The key objectives are to analyze the year-wise trends in the number of MSME accounts and financial amounts across micro, small and medium enterprise categories. The results reveal fluctuating trends, with micro enterprises experiencing a sharp increase in accounts till 2021 followed by a decline, while small and medium enterprises showed relatively stable account numbers. In terms of financial amounts, micro enterprises witnessed a consistent increase, whereas small and medium enterprises had periods of growth and decline. The year 2023 saw significant growth in financial amounts across all three categories compared to 2022. The paper highlights the crucial role of MSMEs in employment generation and economic development, while emphasizing the need for continued policy support to address challenges faced by this vital sector. The findings provide insights into the performance and progress of MSMEs in Jharkhand, contributing to the understanding of this important segment of the state's economy.

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KEYWORDS: MSMEs, GDP, Enterprises, economic issue, Entrepreneurship

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A shopping center is defined as a group of retail stores and other service-providing establishments usually dedicated to supporting and serving a particular neighborhood or community. Shopping centers are not just places to buy products or service. They provide numerous advantages to the community they are located in. Shopping centers provide a one-stop shop for all your needs. This not only saves time and money for the consumers but also supports local businesses. This study reveals that the customer perception towards lulu hypermarket and to give suggestion to improve the satisfaction level of lulu hypermarket in Coimbatore city.

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Shopping Centre, community, consumer, satisfaction

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An extensive analysis of Hindustan Unilever Limited's (HUL) Corporate Social Responsibility (CSR) initiatives in India is presented in this research study. HUL, one of the top manufacturers of consumer goods in the nation, is a leader in tackling a range of social, Economic, and environmental issues through its CSR programs. This study researches the nature, extent and impact of HUL's CSR activities across several dimensions, such as community development, environmental sustainability etc. The study is based on the secondary sources like business reports, scholarly literature, and annual report of HUL. By analyzing these sources, the research offers valuable insights into the evolving CSR landscape in India. Ultimately, this study contributes to the ongoing discourse on CSR in Indian corporate sector and underscores the significance of corporate citizenship in driving positive societal change and sustainable development. It explores the growth of CSR and its activities undertaken by the company in India, aiming to make the planet a better place for future generations.

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Corporate Social Responsibility, CSR activities, HUL, Social Community Development, Environmental Contribution

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The use of facial recognition technology has been widely embraced in a variety of fields, from tailored user experiences to security systems. But as facial recognition systems are used more frequently, they are becoming more vulnerable to threats like facial spoofing. In order to fool the underlying recognition algorithms and jeopardize the integrity and security of the system, facial spoofing entails presenting fake facial data. For face recognition systems to be consistent and successful in practical applications, the problem of facial spoofing detection must be solved. Conventional methods to spoofing detection have frequently depended on manually created features or shallow learning models, which may find it difficult to generalize to a variety of spoofing methodologies and changes in position, lighting, and facial expressions. Methods based on deep learning have shown promise in recent years as a means of improving the adaptability and accuracy of face spoofing detection. Among these, by utilizing hierarchical feature representations, Region-based Convolutional Neural Networks (R-CNN) have shown outstanding performance in object detection tasks. Simultaneously, the Haar Cascade Algorithm has been widely implemented to perform efficient object recognition in pictures, specifically for facial recognition. As an important preprocessing step in face recognition pipelines, the Haar Cascade Algorithm uses a cascade of classifiers to recognize features of the face like the mouth, nose, and eyes.

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Haar cascade, R-CNN, Facial Spoofing,

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In any separation process one of the most important targets is to achieve cost optimization through managing the energy utilization for the degree of separation being the constraint. Reactive Distillation is one such process which combines reaction and separation in one single process unit to reduce the cost of process, and heat integration in such process can add one more dimension of optimizing energy demand. The present work is to simulate and analyze the heat integration aspect of Reactive distillation process for the production of Isoamyl Acetate (IAAc). Rigorous heuristic optimization is done using DWSIM simulation software, to arrive at process and design specifications which give minimum energy demand without compromising the product purity (96% pure).

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Reactive distillation, heat intigration, simulation, optimization, IAAc(Isoamyl aceate), Isoamyl alcoholol, Acetic acid

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In contemporary education, pupils' academic performance must be predicted correctly. Logistic Regression and Random Forest are examples of machine learning algorithms that can effectively predict students who are more likely to fail. Logistic Regression is used for the assessment and prediction of such issues as timely interventions and customized care which address multiple factors in a student's life. Conversely, Random Forest may handle big data sets well because its precision is remarkable. With a population of 480 students sampled from Kalboard360, this study compares logistic regression and random forest about demographic, educational or behavioral features. The findings reveal the effectiveness of both approaches: Logistic regression has an 81% accuracy rate with some space for improvement while Random Forest has a classification accuracy rate of 89% which shows that it can categorize different student outcomes. Such insights from these algorithms have informed tailored interventions aimed at highlighting the significance of employing Machine Learning techniques within the academic arena and understanding their strengths as well as weaknesses for successful strategies.

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Logistic Regression, Predicting Academic Performance, Educational Data Mining, Random Forest, Machine Learning

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Knowledge, First Aid Management, Structured Teaching Programme, Effectiveness

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QUALITY OF SLEEP AND FACTORS INFLUENCING SLEEP PATTERN AMONG PATIENTS ADMITTED IN THE ICUS IN SELECTED HOSPITALS, GUWAHATI,ASSAM: A DESCRIPTIVE STUDY RESEARCH ABSTRACT AUTHOR: Ms. Piyali Dey GUIDE : Mrs. Manju Chapagain Assistant Professor Asian Institute of Nursing Education North Guwahati,Assam CO-GUIDE : Mrs.Pinki Barman Assistant Lecturer Asian Institute of Nursing Education North Guwahati,Assam PROBLEM STATEMENT: "Quality of sleep and factors influencing sleep pattern among patients admitted in the ICUs in selected hospitals, Guwahati Assam: A descriptive study" INTRODUCTION Sleep is an important and essential process in all our lives. Rest and sleep are essential for good health. According to Maslow's hierarchy of needs, sleep is one of the most basic needs or drives to motivate human beings to achieve the fullest potential in life. According to WHO, Sleep is triggered by a complex group of hormones that are active in the body, and that respond to cues from the body itself and the environment. Sleep disturbance is a frequently overlooked complication of intensive care units (ICU). OBJECTIVES o To assess the quality of sleep among patients admitted in ICUs in selected hospitals, Guwahati Assam. o To assess the factors influencing sleep pattern among patients admitted in ICUs in selected hospitals, Guwahati Assam. o To find out the correlation between quality of sleep and factors influencing sleep pattern among patients admitted in the ICUs in selected hospitals, Guwahati, Assam. o To find out the association between quality of sleep and factors influencing sleep pattern with the selected socio-demographic variables. METHODS AND MATERIALS The investigator conducted an explorative descriptive study to identify the quality of sleep and factors influencing sleep pattern among patients admitted in the ICUs in selected hospitals of Guwahati,in order to accomplish the objectives of the study. Purposive sampling technique was used for obtaining the adequate sample for the study.Study was undertaken on 142 patients in selected hospitals of Guwahati,Assam.Paticipants were selected on the basis of inclusion and exclusion criteria.Quality of sleep and factors influencing sleep pattern were assessed by distributing self structured SQS tool and checklist to the respondents. RESULTS Result showed that out of 142 respondents majority 41(28.9%) of the respondents were in the age group 31-40 years,72(50.7%) of the respondents were female, 30(21.1%) of the respondents completed primary and middle school education, 43(30.3%) respondents had monthly income Less than or equal to Rs. 9226, 40(28.2%) of the respondents were in government job, 38(26.8%) of the respondents were married, 24(16.9%) respondents were diagnosed with CVA, 17(12.0%) respondents have none of the co morbidities, 85(59.9%) respondents have previous ICU admission, 13(9.2%) respondents stayed for >30 days. In assessing quality of sleep it reveals that out of 142 respondents, 138(97.2%) had moderately adequate quality of sleep and in factors influencing sleep majority 130(91.5%) had high disturbances in the sleep pattern. It is also found that the correlation between quality of sleep and factors influencing sleep pattern was found to be -0.428 which shows a negative correlation between quality of sleep and factors influencing sleep pattern.Thus, when factors influencing sleep pattern is high then the quality of sleep among the patients admitted in ICU is poor. In association,the results showed that there is no association between quality of sleep with the age, gender, qualification, occupation, family income/month, marital status, diagnosis, any co-morbidities, previous hospitalization,duration of ICU stay. CONCLUSION From this study it was concluded that majority of patients had moderately adequate quality of sleep and had high disturbances in sleep pattern in the ICUs. There is moderate relationship between quality of sleep and factors influencing sleep pattern, thus the investigator concluded that though the factors in this study might likely affect the quality of sleep among patients some other factors might affect their sleep in the ICUs.

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Keywords: quality of sleep,factors influencing sleep pattern,patients admitted in ICUs.

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Renewable energy has seen an interest in sustainable energy source overcome increasing energy demands. In world-wide demand of electricity is constantly rising. As we have more number of technological advancements, multiple innovations and modernization in day-to-day life. For meeting the required demand in a world-wide, now we are heading with renewable energy resource. In renewable energy source we are implementing with hybrid technology in turn it provides more efficacy. Considering all these we are applying hybrid technology in our project by using solar and wind as main source. A hybrid generation system in highways using solar and wind energy involves integrating solar panels and wind turbines. Infrastructure of highways for renewable energy from sun and wind is considered solar power generation peaking during day, especially in sunny conditions, while wind energy can be more consistent and often increases at night or during wing days when solar generation is lower. Supply chain for remote areas is currently not possible through extension of grid, since the connection is neither cost friendly, nor eco-friendly. Integration of hybrid electricity generation using wind and solar panels along the highways is a sustainable for of energy production .the combine power of wind and solar energy has the potential that meets the requirements of electricity generation demands. According to SDG's, it reduces the fossil fuel dependency, Eco-friendly, minimal land usage.

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Renewable Energy, Hybrid Technology, solar power, wind energy

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KEY WORDS:-Reimagining Resilience, Innovative Approaches, Agriculture and Food Security, Management , Climate Change"

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