Volume 12 | Issue 5

 Abstract

This research paper titled as 'Lai haraoba- the legacy of Sanamahism' is a work of detailing the significance also an overview of the traditional festival that is celebrated which is hardly known to the world. This celebration holds an immense importance for the Meitei people keeping the tradition alive by honouring the Creators and pleasing the deities expressing through dances and songs as a form of ritual. Here, right from the beliefs and various other forms of pleasing the God which is performed during the celebration over the time period- will be briefly highlighting in this paper by focusing mostly on the Kanglei form of Lai haraoba. As per the methodology while writing this paper I had predominantly used secondary sources such as a book written by Shri Kulachandra Singh and some translated Bengali script, originally written by Atombapu Sharma for understanding the significance behind the Lai haraoba rituals. And also, over the due research, I had also consulted and interviewed with many experts in this field so, that I could give more insight through out this paper with many other observations I had over the time period. Significantly, the Lai haraoba celebration can be understood as a unique event that has a series of explanations behind it and a ritual which is performed by the Maiba Maibi and the locality expressing the grate fullness of all the creations we have to the Creators.

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Keywords- Lai haraoba, Maiba Maibi, rituals, jagoi, spiritual.

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Social Distancing is very vital during the spread of pandamic and to keep safe from any deadly deseases than can break out in the nearing future. It is not confirmed that the pandamic that had occurred in the recent times have completely vanished . As they say prevention is better than cure it is very important to maintain social distancing. To maintain the same it is impossible to station a person for 24x7 to monitor hence forth we have come up with an idea of social distancing Robot which can help monitor social distancing and also the management of Queue. This can be used in heavily Places like Hospitals, Passport office, Adhar office ,Railway stations, Airports etc. This robot mainly consists of 4 tyres with 2 sensors , one buzzer and an LCD display which detects the distance between two members and hence provides details of distance between them and also manages the Queue.

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Distance detection, Alert message, COVID-19, Pandemic, Social Distancing, Automatic hand sanitization, Contactless temperature measurement.

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The philosophy, architecture, and application of the data wrangling process--which is utilized in business intelligence and data warehousing--are presented in this work. The art of transforming or preparing data is known as "data wrangling." It is a technique designed for fundamental data management, where data must be appropriately formed, processed, and made available for the most convenient usage by possible users in the future. To support extensive adhoc queries, a lot of historical data is either aggregated or kept in data warehouses as facts or dimensions. Data wrangling makes it possible to process business queries quickly and provide analysts and end users with the appropriate answers. The wrangler suggests predicted transcription scripts and uses interactive language. This facilitates the user's understanding of the elimination of manual iterative processes. The best examples in this case are decision support systems. Big data principles have a significant impact on the methods used to prepare data for mining insights, from self-service analytics and visualization tools to the data source layer.

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wrangler, data integration, business intelligence, predictive transformation

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Phishing attacks continue to be a major concern in the digital world, always changing and taking advantage of both human vulnerability and technological flaws, thereby putting confidential information at risk. To fight against such threats, scientists along with cybersecurity experts have started resorting more often to machine learning (ML) methods which enable automation of detection and mitigation efforts against phishing. Among these methods is Gradient Boosting Classifier which has shown excellent results as it achieved 97.4% accuracy rate and 97.7% F1 score after being trained together with other ML algorithms. This research goes deep into analyzing different attributes of URLs aiming at identifying features that can effectively differentiate legitimate links from malicious ones. These attributes include structural components like URL length, domain age or presence of subdomains as well as lexical elements i.e., text content and obfuscation techniques commonly used during phishing attacks among others. Furthermore, semantic aspects take into consideration contextual understanding of URLs through examination web page contents, SSL certificates plus behavioral patterns associated with bad domains. By utilizing all these diverse characteristics, it becomes possible for machine learning algorithms to finely tune themselves so that they can accurately detect phishing URLs with high levels of precision and recall rates. However, the research also recognizes that there are difficulties and limitations when it comes to identifying phishing URLs with machine learning. These include imbalances in datasets, complex feature engineering, and use of adversarial evasion techniques by advanced attackers. Still, this doesn't mean that Machine Learning is not effective against phishing attacks; in fact, its effectiveness is still significant especially shown by performances of Gradient Boosting Classifier.

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Detection of Phishing URLs, Cybersecurity Measures, Extracting Features, Supervised Learning Techniques, Gradient Boosting, Recognizing Patterns.

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In India, more than 3.79 million cars, sedans and utility vehicles were sold in the year 2022. The number of sales increased to more than 4.1 million in the following year. Clearly, the number of sales in four wheelers will continue to increase for safer transportation. But the number of road accidents has also increased correspondingly. According to Ministry of Road Transport and Highways (MoRTH), 1,53,972 persons were killed in the road accidents in India, in the year 2021. The number has increased about 11.9% in the following year 2022, with an estimation of 1,68,419 casualties. Hence, to raise the safety standards for cars sold in India, the Bharat New Car Assessment Program has been taken as an Initiative to evaluate safety of vehicles sold in India. In this research, we will provide a comparative study based on safety rating criteria assessed by the New Car Assessment Program in India as well as the New Car Assessment Programs across the world.

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NCAP, Safety Criteria, Top Speed

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BACKGROUND: The most crucial time for women to be well-nourished is during pregnancy period. During pregnancy, the added nutrient demands of fetal growth and development must be met in order to ensure optimal birth and growth outcomes. A suboptimal maternal diet and inadequate gestational weight gain during pregnancy increases the risk for adverse health outcomes for both mother and child. There are certain complications during pregnancy like pre-eclampsia, gestational diabetes, anemia, stillbirth, low birth weight, muscle wasting and developmental delays for children. Adequate maternal nutrition helps to support the healthy growth and development of the fetus. Inadequate maternal nutrition, on the other hand, leads to poor pregnancy outcomes, such as low birth weight and preterm birth, and can also increase the risk of long-term health problems for both the mother and the child. Therefore, it is important for women to receive adequate nutrition during pregnancy and postpartum, through a balanced diet and appropriate supplementation, as recommended by the health care provider.

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Knowledge, practice, Maternal nutrition, Primigravida mothers, Multigravida mothers

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This study focuses on important procedure of vouching in auditing companies in an effort to clarify its significance, workings, challenges, and potential enhancements. Vouching, a critical stage in the audit process, involves verifying the authenticity and correctness of financial data and transactions by cross-referencing them with supporting documentation. It also examines how technological innovations like blockchain and artificial intelligence might enhance and simplify vouching procedures, thereby increasing the accuracy and efficiency of audit processes. The goal of the research is to provide insightful information on the complex interaction between auditing and corporate consulting services in the contemporary business environment to stakeholders, policymakers, practitioners, and academics.

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Vouching, consulting services, auditing.

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Online learning platforms have brought about a significant change in the higher education sector, offering unprecedented opportunities for the delivery of content and increased student engagement. This study aims to assess the varied impact of online learning environments on these important elements of higher education. Online learning platforms have revolutionized the distribution of knowledge by providing a flexible and easily accessible library of educational resources. Educators can share lectures, course materials, and additional resources in various media formats, such as documents and videos as well as interactive modules, this flexibility improves the accessibility and comprehensibility of educational content by accommodating various learning styles and preferences. In addition, online learning platforms enable personalized learning experiences through adaptive algorithms and data analytics. These platforms monitor students' progress and performance, they can also dynamically adapt content delivery to students' individual learning needs, resulting in a more personalized and effective learning experience. In addition, the availability of discussion forums, virtual classrooms, and collaborative tools promotes student engagement. Participation and peer interaction can improve the learning experience and foster a sense of community among learners. While there are many benefits to online learning platforms, there are also obstacles and limitations. Technological obstacles, such as unreliable internet connectivity and limited access to digital devices, can impede the effectiveness of online learning, particularly for students from low-income communities. For students from low-income communities, online learning can be an effective way to learn, but it can also be a challenge. under-served communities. Also, questions remain about the quality and reliability of online learning. The widespread adoption of web-based learning has fundamentally reshaped instructional delivery and student engagement in higher education. While offering unparalleled open doors for customized learning and worldwide collaboration, these stages also present difficulties that require insightful arrangements and persistent improvement. By taking advantage of the qualities of web-based learning stages and at the same time taking care of their limitations, advanced education institutions can tackle the maximum capacity of computer-based innovation to improve learning outcomes and empower understudies in the advanced age. The use of online educational platforms has transformed the delivery of educational content and student engagement in higher education. While these platforms provide exceptional capabilities for individualized learning and global collaboration, they also create challenges that require Higher education institutions can leverage digital technology to enhance learning outcomes and empower students in the digital age by utilizing online learning platforms while addressing their needs.

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Higher education, online learning platforms

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 Abstract

The management and disposal of industrial waste pose significant challenges for businesses globally.

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The management and disposal of industrial waste pose significant challenges for businesses globally.

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One of the most vibrant and ancient industries in the world economy, the textile sector faces many obstacles to expansion and competitiveness. Effective SCM procedures are now essential for maintaining competitive advantage and improving performance due to the dynamic nature of the global textile market and growing competition. Effective supply chain management (SCM) techniques have become increasingly important in determining how well an organization performs in a variety of industries, including the textiles sector. The purpose of this study is to look into how SCM methods affect the textile industry's organizational performance.

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Supply Chain Management Practices, SCMP, Textile Industry, Organisational Performance.

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Blockchain-based drug store network the board is a progressive methodology that offers upgraded security and straightforwardness to guarantee the credibility and wellbeing of medications. Later on, a rising number of people are probably going to embrace this innovation to ensure that they get the right drugs. Blockchain, a decentralized and permanent record, is utilized to record each step of a medication's excursion through the production network. Every exchange, from the production of drugs to their dissemination, is cryptographically recorded on the blockchain. This straightforward record permits partners and shoppers to get to constant data about the medications, their beginnings, and their dealing with By giving a protected and alter safe record of a medication's set of experiences, blockchain assists purchasers and controllers with confirming the credibility of drug items. This decreases the gamble of fake or unacceptable medications entering the market.All partners, including makers, merchants, drug stores, and patients, approach similar information. This straightforwardness fabricates trust and responsibility inside the store network.

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Blockchain , medicine, web application .

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DESIGN AND FABRICATION OF 360 DEGREE MOTION COOLER CUM HEATER

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This project presents a novel approach to traffic management through a Density-Based Traffic Control System (DBTCS) enhanced with emergency vehicle priority detection. The system utilizes infrared (IR) sensors to monitor traffic density in each lane, allowing for real-time adjustment of traffic signal timings based on traffic density levels. By dynamically adapting signal timings, the system aims to optimize traffic flow, reduce congestion, and enhance overall efficiency of urban road networks. In addition to density monitoring, the system integrates a sound sensor to detect approaching emergency vehicles. Upon detection, the system promptly identifies the lane of the emergency vehicle and grants priority by adjusting signal timings to facilitate its passage. This prioritization of emergency vehicles enhances response times for first responders, potentially saving lives in critical situations. The proposed system offers a flexible and adaptive solution to traffic management challenges, capable of responding to changing traffic conditions in real-time while ensuring efficient prioritization of emergency vehicles. Through simulation and experimental validation, the effectiveness and feasibility of the DBTCS with emergency vehicle priority detection are demonstrated, highlighting its potential for implementation in urban traffic infrastructure.

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Traffic, Congestion,Density,Emergency,Vehicles,Alert

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With the increase in population, the demand for energy is also adding to a very fast pace. To attain the adding need of population the conventional resources are depleting at a very fast rate. So, it becomes Necessary to find an alternative to these resources. Wind energy is the result of the kinetic energy generated by the motion of extensive air masses, constituting an indirect derivative of solar energy. A wind turbine serves as a mechanism to harness this kinetic energy from the wind to generate electrical power. Wind turbines are classified into two types: horizontal-axis wind turbines (HAWTs) and vertical-axis wind turbines (VAWTs). Vertical-axis wind power generators, with their superior overall efficiency and cost-effectiveness, present a highly auspicious outlook for the future of wind power generation. In recent years, Vertical-axis wind turbines (VAWTs) have undergone extensive exploration, driven by their straightforward design and unidirectional functionality, allowing them to operate regardless of wind direction. The Savonius wind rotor, which relies on drag, shows excellent starting capability, whereas the Darrieus wind rotor, based on lift, achieves higher efficiency over a wider range of conditions. Therefore, to optimize their advantages, both rotor types are combined on a common axis to form a hybrid system. The objective of this research was to develop hybrid vertical-axis wind turbines (VAWTs) to leverage the benefits of Darrieus and Savonius rotors, aiming to enhance overall power generation efficiency. To improve turbine performance, magnetic levitation technology was implemented. This system harnesses the properties of permanent magnets and ball bearings to suspend the turbine components, thereby reducing rotational energy losses, a common challenge in conventional wind turbines. Power generation is achieved through an axial flux generator, integrating permanent magnets with a coil assembly.

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VAWT, HAWT, Magnetic Levitation.

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Gender inequality in access to higher education persists as a significant challenge in India despite notable progress in recent decades. This abstract presents a comprehensive review of the prevailing disparities, contributing factors, and potential solutions regarding gender imbalance in higher education enrolment in India. Drawing upon a wide range of scholarly literature, government reports, and statistical data, the abstract highlights the multifaceted nature of gender disparities in educational attainment, particularly at the tertiary level. It proposes a series of policy recommendations and interventions aimed at fostering gender equality in higher education. In conclusion, it has been found that there is urgent need for concerted efforts from policymakers, educators, civil society organizations, and communities to dismantle the structural barriers that perpetuate gender disparities and ensure equal opportunities for all individuals irrespective of their gender.

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Gender Inequality, Higher Education, AISHE Report

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Lower Respiratory Tract Infections (LRTIs) pose a substantial global health challenge, affecting millions annually and demanding comprehensive approaches for effective management. While the clinical manifestations of LRTIs are well-documented, understanding their impact on the Quality of Life (QoL) of affected individuals is paramount for providing holistic care. This review navigates through diverse methodologies employed to assess QoL in the context of LRTIs, encompassing generic and disease-specific instruments, psychosocial assessments, and emerging trends in the field. By exploring factors influencing QoL, including symptom severity, comorbidities, and treatment modalities, we unravel the intricate web of considerations in the holistic care of LRTI patients. Beyond immediate clinical concerns, long-term implications and patient perspectives provide a nuanced understanding of the enduring effects and coping mechanisms. The review underscores the importance of personalized, patient-centered approaches and identifies gaps in current knowledge, paving the way for future research to enhance the well-being of individuals affected by LRTIs. As we delve into this synthesis of existing literature, we aim to contribute to a more comprehensive understanding of the interplay between Lower Respiratory Tract Infections and Quality of Life, fostering improved clinical care, informed public health strategies, and a compassionate response to the challenges faced by those navigating LRTIs.

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Quality of life, LRTI

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Goods and Services Tax plays a major role in deciding the purchase decision of the consumers. This is because, it plays a major role on the pricing decision of different members of channels of distribution. The prices of the products differ according to the taxation slab in which they are grouped under GST. However marketers through their effective strategies manage to offer some differentiation for the consumers, in terms of price, to the consumers. The study will explore the changes in consumer purchasing patterns, preferences, and decision-making processes post-GST implementation, focusing on various sectors and demographic groups. The findings of this study will contribute to a better understanding of the implications of GST on consumers and provide insights for policymakers and businesses.

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Goods and Services Tax, consumer buying behavior, GST implementation, purchasing patterns, consumer preferences, decision-making processes.

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 Abstract

aadhunik parivesh me himachal pradesh ke parmpik vastr

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aadhunik parivesh me himachal pradesh ke parmpik vastr

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Concept of CMA came into being in 1975 as a result of recommendation of the guidelines given by the Chore committee and Tandon group in 1974. However the CMA was introduced in the banking system in 1988. The aim of CMA was to prevent delays in loan approval and disbursement. Later on in 1997 MPBF concept was withdrawn by the RBI (The Central Bank) and consequently the CMA was also scarped at their end. Procedure of Working Capital Limit Assessment has been left at the discretion of the banks, Boards of Banks were given power to device their own policies. Even if MPBF is not mandatory and CMA is not compulsory banks are continuing with the same system which was introduced in 1988.

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CMA, MPBF, Working Capital, Net Working Capital, Working Capital Gap

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Lower respiratory tract infection occurs when there is an infection of the lungs, specifically in the lower airways. This infection is usually caused by a virus, bacteria or other less common organisms. LRTI includes Bronchitis, Bronchiolitis, Pneumonia. The most commonly prescribed drugs for LRTI include Cephalosporins, Penicillins and Macrolide antibiotics. Paediatric population are mostly affected by LRTI than adult and geriatric population. SF 36 QoL questionnaire is used to assess the health related quality of life of patients with LRTI. AIM: To study the prevalence, antibiotic prescribing pattern and health related quality of life in patients with Lower Respiratory Tract Infections. OBJECTIVE: o To assess the prevalence of Lower Respiratory Tract Infections. o To study the antibiotic prescribing pattern in the management of patients having Lower Respiratory Tract Infections. o To assess the quality of life in patients having Lower Respiratory Tract Infections. MATERIALS AND METHODS: The prospective observational study was carried out in 15 patients. Prevalence of Lower Respiratory Tract Infections assessed in paediatric, adult and geriatric patients, and in both male and female patients. Prescriptions were studied to analyse the antibiotic prescribing patterns in Lower Respiratory Tract Infections patients. Health related Quality of Life was assessed using SF-36 questionnaire before and after patient counselling to analyse its impact on patient outcome and the follow up was taken within 2 weeks. RESULT: Lower Respiratory Tract Infection was found to be the most prevalent disease among Pulmonary and Critical care department in the hospital. Prevalence of LRTI will be more in paediatric patients when compared to adults and geriatric patients, and also males are more affected than females. The most commonly prescribed drugs for LRTI were found to be Cefuroxime followed by Cefoperazone+Sulbactam, Clarithromycin, Ceftriaxone, Amoxicillin+Clavulanic acid, Piperacillin+Tazobactam, Azithromycin and Meropenem. A significant increase in Quality of Life was found in LRTI patients after treatment and patient counselling. CONCLUSION: It was concluded that LRTI is the most common disease and prevalence of LRTI is more in paediatrics than adults and geriatrics. The most commonly prescribed antiobiotic for LRTI is Cephalosporins like Cefuroxime, Cefoperazone along with Sulbactam and Ceftriaxone. There is a significant improvement in the QoL in patients after treatment and patient counselling.

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 Keywords

LRTI , Prevalence, Antibiotics, Health related quality of life.

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