Volume 11 | Issue 5

 Abstract

The significance of English at higher education has increased due to its meaningful presence in professional world.it has been introduced as a compulsory subject in almost all professional and non-professional courses at undergraduate level. The present study has aimed at investigating the quality of teaching learning process being carried out in English classrooms in the colleges of Punjab. Qualitative data has been gathered through interview method from colleges by interviewing 50 English teachers across Punjab. The teachers have reported several issues being faced by both teachers and students pertaining to English language teaching and learning. In this context, the teachers have also come out with diverse suggestions to ensure optimum learning outcomes.

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Higher education, English language, English teachers, learning outcomes. ________________________________________________________________________________________________________

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Assignment problems have various applications in the real world because of their wide applicability in industry, commerce, management science, etc. Traditional classical assignment problems cannot be successfully used for real life problem, hence the use of fuzzy assignment problems is more appropriate. The assignment cost has been considered as imprecise numbers that can be described by Triangular Fuzzy Numbers which are more realistic and general in nature. In this Paper, the fuzzy assignment problem has been converted into crisp assignment problem using Method of Magnitude and Ranking Function for Robust Ranking Technique for fuzzy costs matrix and solving it by Hungarian Method has been applied to find an optimal solution.

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Assignment Problem, Triangular Fuzzy Number, Fuzzy Magnitude Ranking Method, Hungarian Method.

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KEYWORDS: Suspensions, Suspending agents, Evaluation, Stability.

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Literary Activism in Twentieth Century China

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Literary Activism in Twentieth Century China

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Microelectromechanical Systems (MEMS) have become a ground-breaking technology with substantial applications in a wide range of industries, from consumer electronics to healthcare and business. The essential ideas, operating principles, and several MEMS applications are highlighted in this study. MEMS technology combines little mechanical and electrical parts to create devices that can be created at the micrometer or nanometer scale. MEMS devices are distinguished by their capacity to perceive, control, and alter minute physical processes. They integrate microelectronics with micromachining methods to build complicated systems that are lightweight, energy-efficient, and reasonably priced. MEMS are significant because they may solve difficult problems in many different sectors. MEMS accelerometers, gyroscopes, and pressure sensors have completely changed the way we interact with consumer electronics, making it possible for functions like gesture recognition, picture stabilisation, and accurate navigation. The creation of wearable devices for monitoring vital signs, medication delivery systems, and less invasive surgical instruments has been made possible in the field of healthcare thanks to MEMS-based sensors and actuators, improving patient care and treatment results. In the automobile sector, MEMS are also essential for the implementation of safety features including airbag deployment, tyre pressure monitoring, and vehicle stability control. MEMS technology has also made a substantial impact on energy harvesting systems, telecommunications, aeronautical applications, and environmental monitoring. Temperature, pressure, humidity, gas concentration, and acceleration are among the factors that MEMS sensors are used to measure and regulate. These applications have significant effects on increasing productivity, lowering expenses, and boosting overall performance. MEMS technology developments are not without difficulties, though. Technical challenges include material choice, device integration, and fabrication methods. Other ongoing problems include guaranteeing dependability, durability, and sustaining high yields throughout mass production.

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MEMS, fabrication, monitoring,devices,etching.

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E-banking has a crucial function to play in the current environment. No bank can function without e-banking. In this analysis, we look at how much e-banking is used by banks in the public and private sectors. (With regard to HDFC Bank and SBI) The study's goal is to determine employee perceptions of e-banking use in public and private sector banks as well as consumer satisfaction in regard to e-banking. Both primary and secondary research methods are used in this study. Research revealed client perceptions of employee happiness and service quality in online banking services. Also, this study compares SBI and HDFC bank's working styles with those of public and private sector banks.

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consumer, internet, and e-banking.

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Temperature data acquisition is an important aspect of various industrial, scientific, and research applications. LabVIEW is a popular platform for acquiring and processing data from different sensors, including temperature sensors. This paper presents an abstract on temperature data acquisition using LabVIEW. The temperature data acquisition system includes a temperature sensor, signal conditioning circuit, data acquisition module, LabVIEW software, and a computer. The temperature sensor is used to measure the temperature of the object or environment, and the signal conditioning circuit is used to amplify and filter the signal before it is sent to the data acquisition module. The data acquisition module converts the analog signal into a digital signal that can be processed by the LabVIEW software.The LabVIEW software is used to acquire, analyze, and visualize the temperature data. It provides a user-friendly interface for configuring the data acquisition system, selecting the appropriate measurement parameters, and displaying the acquired data in real-time. The LabVIEW software also provides advanced features for processing the temperature data, including filtering, averaging, and statistical analysis.

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LabVIEW, NI- National Instrument, PID, temperature data acquisition.

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A cyber awareness programme's main goal is to inform individuals about potential online dangers and help them prevent a data breach. No solution, however, can ensure total security from assaults, but it can help lessen their frequency and give end users and experts the knowledge they need to avoid such threats. In the study that has been provided, an effort has been made to understand how cybercrime affects teenagers. There are 60 participants in the study, 30 of whom are males and 30 of whom are girls. In the analysis, percentages and the t test were used. It was determined by evaluation that girls are less aware of cybercrime than boys, indicating a need for awareness among them.

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Cyber crime, girls, boys

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The potential of blockchain technology to revolutionise several sectors has attracted a lot of interest in recent years. Scalability has, however, become an important issue that prevents the mainstream adoption of blockchain networks as their size and usage continue to increase. This study provides a thorough analysis of the scalability problems in blockchain networks and considers various remedies. We examine the basic limits of the blockchain designs that are currently in use, including those related to consensus techniques, network capacity, and storage needs. We also look into a number of scaling ideas that have been put up in the literature, including layer-2 protocols, sidechains, off-chain transactions, and sharding. Additionally, we go over the compromises made by various solutions and assess how well they work to increase blockchain scalability. This study attempts to give important insights into the scalability issues blockchain networks confront and proposes a path for further study in this field.

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Blockchain, Scalability, Consensus Algorithms, Sharding, Off-chain Transactions, Sidechains, Layer-2 Protocols.

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The effect of cash flow on project finance cash is a crucial aspect of project management and financial planning. Understanding how cash flow dynamics influence project finance cash is essential for project stakeholders to ensure the financial viability and success of their ventures. This study examines the factors and mechanisms through which cash flow impacts project finance cash and explores strategies to optimize cash flow in project finance.The research adopts a comprehensive approach by analyzing various factors that influence cash flow, including revenue generation, operating expenses, debt service obligations, timing of cash flows, and risk management. Additionally, the study investigates the significance of margin, retention, and mobilization in relation to cash flow in project finance. These factors play a crucial role in determining the financial health and sustainability of projects.Through an in-depth analysis of project finance cash, this study aims to provide valuable insights and recommendations for project managers, investors, and financial institutions involved in project finance. By identifying the key factors and their interrelationships, stakeholders can implement effective cash flow management strategies, mitigate risks, and enhance the overall financial performance of their projects.

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cash flow

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Piper betel Linn. an important species of the Piperaceae family is an evergreen and perennial creeper, with glossy heart-shaped leaves that are magnificent reservoirs of phenolic compounds with antiproliferative, anti-mutagenic, antibacterial and antioxidant properties. Phytochemical studies show that Piper betel contains a wide variety of biologically active compounds whose concentration depends on the variety of the plant species. Many research studies on Piper betel has reported that it contains important chemical constituents such as chavibetol, chavibetol ace- tate, caryophyllene, allylpyrocatechol diacetate, campene, chavibetol methyl ether, eugenol, a- Pinene, f-Pinene, uLimonene, safrole, 1-8-cineol, and allylpyrocatechol monoacetate. These components are valued as a stimulant for its medicinal properties like anti-fungal, anti-nocicep- tive, anti-cancer, immunomodulatory, antihalitosis, anti-diabetic, gastroprotective, anti-allergic, anti-fertility, antifilarial, anti-larvicidal, wound healing and anti-dermatophytic. The present re- view is an attempt to highlight various traditional uses as well as pharmacological reports on Piper betel L.

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Betel Leaf,Anti allergic ,Herbal ,Herbal Ingridients

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Now a day's online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data. Machine Learning has also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a big problem, it becomes challenging due to two major reasons-first, the profiles of normal and fraudulent behaviours change frequently and secondly due to reason that credit card fraud data sets are highly skewed. This paper research and checks the performance of Random Forest on highly skewed credit card fraud data. Dataset of credit card transactions is sourced from European cardholders containing 1 lakh transactions. These techniques are applied on the raw and pre-processed data. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision.

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Data Analysis, Fraud in credit card, decision tree, random forest, Machine Learning, Security

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Technology is developing at a rapid rate, and many security problems are emerging along with it. One of the biggest problems with biometrics recognition technologies is that the system has numerous security flaws, and morph face attacks are becoming more frequent nowadays. Several authors offered different approaches to the problem in different sectors using different procedures. The "detection equal ratio," or comparing the genuine image with the morphing image, is one of the most important operations. The "CNN" method, which is used for segmentation and feature extraction, is the major algorithm the authors have used. The report also contrasts the numerous research techniques employed by the writers to discover the modified facial image and it's For this issue, the various authors provided various solutions in various fields with various processes. in the most significant processes were taking the "detection equal ratio," or comparing the bona fide image and morphed image. the main algorithm used by the authors was CNN, which is used for segmentation and feature extraction. further, the paper compares the various research methods used by the authors to find out the morphed face image and its detection ratio

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CNN, Rest-Net

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Enhanced Security for IoT Devices using Blockchain Smart Contract

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Enhanced Security for IoT Devices using Blockchain Smart Contract

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The term "Accountancy'' is very well known, but the actual meaning of accountancy we should know , Accountancy is the practice of recording, classifying and reporting on business transactions for the entity. Accountancy is the practical subject and every commerce student has to face this subject from 11th standard itself. If a student wants to be an expert in this subject then they have to do practice every day but due covid -19 total method of teaching changed and students are struggling with the practical subject. While studying the behaviour of students towards online mode of learning for accountancy subjects, they were struggling with it and facing a lot of problems but offline mode of learning where teachers use chalk and duster method which help them to understand accounting concepts and clear their doubts immediately. Students as well as teachers both are facing the same problems because of the change in mode of study but we have to deal with it due to the pandemic. As per my experience pre covid online classes are also available, still students enrol for offline classes especially for practical subjects like Accountancy because offline classes are always more effective than online in terms of Accountancy.

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Accountancy, Offline mode ,online mode,covid-19

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 Abstract

Self-finance courses are considered to be career-oriented and a big hit in the current education scenario. The demand for these courses rises due to the variety of specializations provided as per the needs of the students. Courses like BAF, BMS, BBI, BFM, etc. have a vast and complex syllabus. Colleges need to provide quality education and be able to keep up with the demands of the curriculum. Industrial visits are a link between students and industries. Hence, it is essential for students to have a positive outlook towards them. The current paper determines the extent of benefits students have gained through these visits so as to decide the next step in learning. Based on the results, it can be said that the majority of the students have gained positive experiences during industrial visits that have helped them in various aspects of their educational journey. Students believe that these visits enhance learning and should be made mandatory.

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Industrial Visits, Self-Finance Courses, Practical Experience

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India is a highly populated country with a maximum young population and due to that it is one of the lucrative markets for the entertainment industry globally. With the easy availability of the internet where we can see as well as review anything and everything it is no different fact that the internet brought the entertainment industry to the next level and in today's time entertainment patterns are shifted to a great extent towards digital platforms. The purpose of the study is to identify different impacts of web series on youth. We will also study the factors which attract young minds towards web series. Primary data collected through well designed structured questionnaire & secondary data collected from various secondary resources where potential data is available from past studies and published journals in the context of, impact of web series on youth.

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"A study on impact of web series on youth"

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INERTIA OF DISTANCE MATRIX OF SPIDER GRAPH Distance matrix

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INERTIA OF DISTANCE MATRIX OF SPIDER GRAPH Distance matrix

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Alzheimer's disease also called as senile dementia.It is a progressive disease that destroys memory & other important mental functions. In this, Brain cell connections & the cells themselves degenerate & die eventually destroying Memory & other important Mental Functions. As the disease advances, symptoms can include problems with language, disorientation, mood swings, self neglect & behavioural issues, etc There is a substantial need for new therapies that offer improved symptomatic benefit & disease- slowing capabilities.The aged population is growing globally, creating an urgent need for more promising therapies for this debilitating disease. In these there are various drugs are developed For the treatment of Alzheimer's Disease e.g. Lecanemab.Lecanemab is an amyloid beta- targeting antibody used to treat Alzheimer's Disease. Here we cover the mechanism of action of targeted therapies & therapeutical agents/drugs to re-think drug development strategies & development of targeted therapies for Alzheimer's disease. & also directions for future studies.

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Alzheimer's disease, Amyloid beta-protein, Tau protein, Targeted therapies, aducanumab, Lecanemab, Pathophysiology

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