Volume 12 | Issue 3 |

 Abstract

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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 Keywords

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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 Keywords

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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This review addresses the global impact of urinary tract infections (UTIs), affecting millions annually and exacerbated by antimicrobial resistance. The dominant pathogen, Uropathogenic Escherichia coli (UPEC), underscores the urgency for alternative solutions. Despite varied management approaches, recurrent UTIs persist as a socio-economic burden.Herbal remedies like cranberry, cinnamon, clove, garlic, and coconut water are explored for their antibacterial properties as potential alternatives to conventional treatments. The complexity of UTIs, classified by factors like symptoms and site, necessitates tailored treatments, particularly for complicated cases linked to underlying conditions.Various factors contribute to UTI prevalence, especially in females. Symptoms range from mild to severe, requiring prompt treatment to prevent complications and combat antimicrobial resistance. The situation in India, with E. coli resistance to key antibiotics, emphasizes the need for innovative strategies, including the integration of herbal medicine alongside antibiotics.Future prospects involve the development of new drugs, vaccines targeting uropathogens, and exploration of novel antibiotics. The review emphasizes revisiting traditional practices in alignment with the World Health Organization's strategy. In essence, the review contributes insights into alternative UTI treatments, urging attention to this pressing global health concern.

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Urinary tract infections , Herbal medicine , Uropathogenic Escherichia coli , Herbal remedies

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This article examines the evolving landscape of the European Union's (EU's) trade policy. It explores the core objectives that have driven the EU's trade strategy, recent adaptations to address new challenges, and key factors shaping its future direction. The EU champions free trade, promoting economic growth and international cooperation through its trade agreements. However, the current global order presents challenges and opportunities. The EU is adapting its approach to address issues like rising protectionism, the US-China rivalry, and the need for climate action. The article also explores the impact of trade agreements, using the EU-Canada Comprehensive Economic and Trade Agreement (CETA) as a case study. It concludes by emphasizing the need for the EU to balance economic interests with environmental sustainability and social considerations in its trade policy.

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1. EU trade policy 2. Free trade 3. Geopolitical tensions 4. Protectionism 5. Climate change 6. Digitalization 7. Open markets 8. Fair competition 9. Sustainability 10. Global trade rules 11. Strategic autonomy 12. Enforcement 13. Reciprocity 14. Digital trade 15. Data protection 16. Intellectual property rights 17. Rise of protectionism 18. US-China rivalry 19. WTO reforms 20. Carbon border adjustments 21. COVID-19 impact 22. Social dimension 23. Trade agreements 24. EU-Canada Comprehensive Eco

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The Khasi tribe in Meghalaya has a unique matrilineal system where women enjoy full security and the youngest daughter, known as Ka Khadduh, inherits ancestral property. She plays a crucial role in caring for her parents and ensuring the welfare and education of her siblings. Khasi women's are enjoying more rights and respect as compared to other parts of the country.Childrens use to take mother's surname and khasi males move into his in laws house after marriage.Some Khasi men's were protesting against this tradition. According to some of the khasi males ,they are having a secondary status in the society.This paper will delve into the Customary inheritance system of the Khasi community and how it has evolved with modernization, focusing on the roles of the youngest daughter, other daughters, and sons in the inheritance of ancestral property.

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Customary,inheritance,ka Khadduh, Khasi

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