Volume 11 | Issue 6

 Abstract

The present study examined attitude towards e-learning among university students of Punjab and Haryana in relation to computer self-efficacy. For this purpose, samples of 800 university students were selected randomly. Findings reveal that there is no significant difference between mean scores of Punjab and Haryana university students on attitude towards e-learning" was retained as students belonging to different states exhibited comparable attitudes towards e-learning.

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Attitude towards E-Learning, Computer self-efficacy

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Abstract In the realm of service marketing, the customer is king. Building goods and services for the financial sector is tough and requires expertise. Banking is one of the oldest and biggest monetary services sectors among the others. CRM has a significant impact on the service industry, helping businesses gain and keep clients for long-term effectiveness. Meanwhile it is more important that banking sector to choose to retain the customer in existing manner to its post-merger processes. In this aspect the state bank of India has to perform its duties to fill the post-merger requisition to sustain and satisfy the need and requirements of the existing and future customers as well hence, it should perform/improve with new advancement procedures in accordance with the customer feedback. This article shows the customer satisfaction of post-merger customer relationship management in state bank of India in Mysuru District.

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Customer relationship management, State bank of India, Post-merger Satisfaction

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Copper Nanoparticle, Luliconazole, Carbopol gel, Antibacterial activity, Chemical reduction method, Copper sulphate.

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Block Chain is an emerging technology which includes a number of features by default such as, distributed ledger, decentralized storage, authentication, security, and traceability. In health sector, patient data are sensitive and it is very essential to be secured, which can be done using blockchain technology. Exchange of healthcare data between hospitals is limited by privacy and dependency on centralized data management systems. Such a centralized storage can be a concern since it can lead to data leakage, data manipulation, mistrust, and single point of failure. Blockchain offers a decentralized computing and storage solution that can help with these issues. It includes smart contracts, identity verification and more. Integrating block chain technology with identity management will be the solution for some issues, such as centralized governing of identities. This system proposes Ethereum based blockchain data management for healthcare application, to store and review the patient record by web application allowing only identity verified users like patient, doctors, family members and hospital staff to have the secure access to health information. Ethereum currently uses a proof-of-work consensus mechanism. Solidity is the popular language for writing Ethereum smart contracts. The data on Ethereum blockchain is stored using tire data structures to manage temporary and permanent data. To protect data integrity, ownership, and permissions, smart contracts are created. Since the business can be handled by smart contracts, there won't be a need for centralized authority to oversee and authorize it, which will cut costs.

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Blockchain,Ethereum,Healthcare,Decentralised,Smart contracts.

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The Artificial Intelligence keeps growing, new technologies will keep coming in the market which will impact our day-to-day activities, and one such technology is Virtual Assistant Bots or simply Chatbot. Chatbot have evolved from being Menu/Button based, to Keywords based and now Contextual based. The most advanced among all of the above is contextual based because it uses Machine Learning and Artificial Intelligence techniques to store and process the training models which help the chatbot to give better and appropriate response when user asks domain specific questions to the bot. The idea is to create a medical chatbot that can diagnose the disease and provide basic details about the disease before consulting a doctor. This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot. The chatbot are computer programs that use natural language to interact with users. Our project focuses on providing the users immediate and accurate prediction of the diseases based on their symptoms. Chatbot can play a major role in reshaping the healthcare industry by providing predictive diagnosis. The appointment system that allows patients or any user to easily book appointments online with doctors. It is a web-based application that overcomes the problems of managing and scheduling appointments as per the patients need. The task of manually assigning appointments to patients based on their availability can sometimes become quite tedious for the compiler or the doctor themselves. Thus, the project provides an efficient solution where the user can see different available booking slots, select the preferred date and time. Spaces already reserved will be marked in yellow and will not be available to anyone else for the duration specified. The system also allows users to cancel reservations at any time.

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Chatbot, Healthcare, Artificial Intelligence, Appointment system, Virtual Assistant.

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This review paper aims to provide a comprehensive overview of the use of human hair as a fiber reinforcement in concrete. Hair, being a readily available and renewable waste material, has gained attention as a potential sustainable alternative for enhancing the mechanical properties of concrete. This paper examines the various aspects of incorporating human hair fibers in concrete, including its effects on workability, strength, durability, and the microstructural properties of the composite material. The review also discusses the challenges and opportunities associated with using human hair fibers in concrete, along with potential applications and future research directions. The findings presented in this review paper will contribute to the understanding of the feasibility and effectiveness of utilizing human hair as a sustainable fiber reinforcement in concrete production.

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hair, Mortar, Fiber reinforcement, Sustainability, Mechanical properties.

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With the increasing concern for environmental sustainability and the need for efficient transportation alternatives, the design and fabrication of electronic bikes (e-bikes) has gained significant attention. This paper presents a comprehensive study on the design and fabrication process of an e-bike, focusing on key aspects such as the selection of components, system integration, power management, and overall performance optimization. By combining advanced electronics, battery technology, and lightweight materials, the fabricated e-bike provides a sustainable and practical solution for urban commuting. Experimental results demonstrate the feasibility and efficiency of the proposed design, highlighting its potential for widespread adoption and positive impact on the environment.

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Electronic bike, E-bike, Design, Fabrication, Sustainable transportation, Efficiency, Power management.

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Background: Charak Samhita is most important therapeutic treaty of Ayurvedic literature. It comprised of various dosages forms for the treatment of several diseases specially in Chikitasasthana. Out of these we have selected Avaleha because of its multiple therapeutic characteristics. It is one such dosage form of Ayurveda which is known for it's palatability, stability, ease of administration and used as Rogaghana ( to diminish disease ) as well as Rasayan(rejuvinator). On virtue of it's versatility Avaleha was described by the Acharya Charak throughout the Chikitsastana.Aim: we are writing this review to explore key role of various Avaleha from its curative and preventive purposes and to critically analyse ingredients and their role, pharmaceutical procedures, dose, Anupana and mechanism of action by which Avaleha cures and prevent the diseaseor acts as rejuvenator. Method: Literary survey of Charak Samhita specifically its Chikitsasthana along with its commentaries was done and various research articles published in reputed journals were searched for the present review article. Result: After studying the Avaleha in Charak Samhita we found that various Avaleha are the potentiated by many ingredients which acts synergistically as well as antagonistically to get holistic clinical effect . Churna, Kalka, Swaras may not be consider as Avaleha by simple mixing of honey as they do not fulfil the definition of Avaleha. Interestingly majority of Avaleha are indicated in upper respiratory tract infection (kasa, shwas, hikka,swarbheda) and as health promoter.

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Avaleha, Charak Chikitsasthana,Kasa, Shwas, Rasayana

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Current research is interested in advanced therapeutic dressings that participate actively in wound healing to achieve quick and complete healing of chronic wounds. Due to the massive financial load experienced by the world as whole, fresh strategies to promote rapid wound healing are desired. This article examines the state of wound healing and wound care products today, focusing on the need for more sophisticated forms of wound therapy as well as some of the current issues and causes that are influencing this need. The paper mostly reviews data from peer-reviewed literature and other readily accessible sources, such as the FDA. Treatment of chronic wounds, including amputations, diabetes and leg ulcers, pressure sores, surgical wounds, and traumatic wounds (such as burns and accidents), when patient immunity is poor and the risk of infections and consequences is high, is a key area of focus. The major types of dressings include medicated moist dressings, tissue-engineered alternatives, biological dressings based on biomaterials, biological dressings obtained from both biological and natural sources, medicated sutures, and various combinations of the aforementioned groups. The review concludes with a brief discussion of the prospects for advanced wound healing in routine clinical care, including some of the newly developed techniques such hyperbaric oxygen, negative pressure wound therapy, and laser wound healing.

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Transdermal, Adehesive ,Corneum, Appendageal

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As most of the electric moped scooter bikes and scooters comes with high specifications and offers a high price tag there is no such proper electric vehicle in a price segment of a bicycle that is under twenty thousand. Hence our team is looking forward towards this opportunity in developing a pocket friendly electric skate scooter in order to fill this vacant space in the market. This project is an alternate solution to the increasing use of non-renewable energy resources which are leading to various problems such Traffic problems, Parking space problems, emissions of gases due to the burning fuels, noise pollutions which occurs in cities during peak rush hours. People tend to use their private vehicles even for the smallest commutes of 10-12km around cities contributing to the traffic problems. Thereby we are introducing E-SKATE board as an alternate solution in order to tackle these problems. this paper is a complete interpretation about this rechargeable electric skate board. The focus of this paper is to minimize modern day traffic problems and introduction of e-skate board as an alternate solution of travel for distances cutting done the use vehicles which run on fuels.

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Electric moped, Hybrid Skate scooter.

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Chronic kidney disease is a significant health concern in modern times, and it is critical to diagnose it correctly and promptly. Medical professionals currently employ machine learning techniques to aid in disease identification at an early stage. The focus of this is on the prediction of chronic kidney disease. Detecting and predicting diseases is a complex and vital aspect of medicine that supports pathologists and clinicians in decision-making by allowing early diagnosis. Artificial Neural Network (ANN) has been demonstrated to be a valuable tool in various fields, including medicine, by predicting specific diseases based on provided data. This study employs the ANN approach to develop a chronic kidney disease prediction system. The neural network output provides information on whether a patient has chronic renal disease. After extensive research, it has been shown that artificial neural networks are more accurate than other machine learning algorithms in predicting kidney disease. A comparative analysis has also been shown . A GUI to predict CKD on the basis of input values is present.

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GUI , Machine Learning Model , Kidney Disease

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Microwave propagation is a widely used technology in various applications, including communication, remote sensing, and weather forecasting. However, the behavior of microwave signals in the atmosphere is influenced by various atmospheric conditions, such as temperature, humidity, pressure, and composition. This paper reviews recent research on microwave propagation in different atmospheric conditions. The paper starts with an introduction to microwave propagation and the factors affecting it. Then, the paper reviews the effects of atmospheric conditions on microwave propagation, including the attenuation, scattering, and refraction of signals. The paper also discusses the methods used to measure and model these effects, including experimental studies, theoretical models, and numerical simulations. Finally, the paper concludes with a discussion of the implications of these findings for various applications of microwave propagation, such as weather forecasting, remote sensing, and communication.

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Microwave propagation, Atmospheric conditions, Temperature, Humidity, Pressure, Composition, Attenuation.

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Abstract The main objective of the present study was to formulate and evaluate Ivabradine mucoadhesive buccal tablets by direct compression technique. Ivabradine is a novel medication used for the symptomatic management of stable angina pectoris and it has short half -life (2 hrs) with a bioavailability of 40% orally.The drug identity was confirmed by UV spectroscopy. The polymers used to sustain the drug release are Guar gum, Xanthan gum, HPMC K4M and Carbopol 934 . The compatibility studies between the drug and the polymer were studied using the FTIR spectroscopy and were found to be compatible. Preformulation parameters like tapped density, bulk density, carr's index, Hausner's ratio, compressibility index, angle of repose are studied and the results were found to be within the limits. Using the above polymers formulations f1 to f12 were manufactured by direct compression technique and the tablets were evaluated for their thickness, hardness, friability, weight variation and content uniformity test. The in vitro drug release studies were performed in Phosphate buffer of pH6.8 using USP type-II dissolution apparatus. From the dissolution studies it was found that f2 formulation containing HPMC K4M was best since it release minimum amount of drug (9.8%) initially and maximum drug (99.6%) at the end of 8hrs.The f2 formulation was subjected to stability studies for about 3months as per ICH guidelines and found to be stable.

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Key words: Buccal; mucoadhesive; angina pectoris; Ivabradine

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An Engineered cementitious composites (ECC) or Bendable concrete is an easily moulded mortar based composite which is reinforced with specially selected short random fibres. Traditional concrete suffers catastrophic failure when strained in an earthquake or by routine overuse. The word ECC is engineered, means to addition to reinforcing the concrete with micro scale fiber that acts as ligaments to bond concrete more tightly. As this is the special type of concrete there are no defined codes for it and also it is rarely developed in india hence no Indian codes can be found related to this, thus for this reason the parameters needed are to be obtained using trial and error method. This project includes different sets of test such compaction test slump cone test,compressive strength test, flexural test, sieve analysis etc. In this paper, to overcome the demand for concrete in future and to develop the fibre materials, the Poly Vinyl Alcohol Fibre is used so as to reduce the cement content and to enhance flexibility. It has high aspect ratio, high ultimate tensile strength, relatively high modulus of elasticity, good chemical compatibility with Portland cement, good affinity with water and no health risks.

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ECC ,poly vinyl alcohol

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 Abstract

chatishgadhme sukshma, lagu avm madhyam udhyamo ka vishleshan

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chatishgadhme sukshma, lagu avm madhyam udhyamo ka vishleshan

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Abstract: World is facing Covid-19 pandemic in Teaching and Learning are affected due to Covid 19. Information Communication Technology is very much helpful to teachers and student ICT roles in teaching and learning. Teachers can use online Class, video conference to enable them teach or monitor the students learning process. ICT tools for effective teaching learning in pandemic situation. We can use ICT tools for digital education learners. ICT will be useful for enhancing skills as listening, speaking, reading and writing. Information and communication technologies (ICT) usage with mobile technologies and e-learning in libraries. E-learning courses using mobile information communication and technology devices; the implications of the research and continuing effectiveness to support students and academic researchers. E-learning has becoming the most challenging area. Artificial intelligence supported e-learning systems on different kinds of courses and report advantages of artificial intelligent in education area. It seems that the future of education will generally depend on important, multidisciplinary research areas like artificial intelligence-learning software and the approach the role of Information and Communication Technology is increasingly visible and has many applications in our routines. Technology is now, and technology is the future.

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Keywords: e-learning, ICT, Internet, Social Media platform, and Mobile App

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The post- natal period is crucial to take care of medical mental health. Postpartum period is common among maternal morbidities after delivery While women experiencing baby blues tend to recover quickly, PPD tends to last longer and severely affects women's ability to return to normal function. PPD affects the mother and her relationship with the infant. The present study was conducted to assess the level of postnatal depression and associated risk factors among postnatal mothers. The research approach is a quantitative and the research design was descriptive research design analysed by using descriptive statistics. Validity was ensured in consultation with guide and experts in the related fields. The data was collected by using Edinburgh postpartum depression scale and self-structured questionnaire to assess the associated risk factor. From the data analysis, 57.5% of postnatal mothers has moderate depression, 32.5% has mild depression, 10% has minimal or no depression and none has severe depression. The associated risk factors were primigravida, no planned pregnancy, caesarean section, complication during pregnancy, and delivery, history of abortion, availability of family support during pregnancy, domestic abuse, less health advise during pregnancy and the stressful life went in past year. As to conclude, the study provided insight on the overall level of postnatal depression among postnatal mothers and the associated risk factors. There is an urgent need by the health care members to focus on the problems faced by the postnatal mothers leading to postnatal depression.

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Postnatal depression, risk factors, Postnatal mothers.

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This paper aims to examine the development of music during Akbar's reign. Akbar's period was very important in terms of socio-cultural aspects. In this paper, my focus is on Akbar's inclination towards music. In this paper, we have undertaken to trace the influence of Akbar on Indian tradition and vice versa. Also, to ascertain the multi-dimensional influence on the music, highlight the various types of musical instruments used by musicians during Akbar's reign. We also attempt to examine the development of music at the court level and at the regional level. This paper will also have a focus on various aspects, like what major developments occurred in the musical arts' sphere during the period of Akbar. A study of the patronization of performers like singers and musicians from various regions and countries during Akbar's reign. The synthesis of Turko-Persian musical tradition with classical Indian music and its far-reaching influence on the development of Hindavi-Persian tradition, which later developed into Hindustani music. Also, the role of Bhakti and Sufi traditions in the promotion of music during the period will be examined. Thus, an endeavour will be made through this research to highlight the multi-dimensional influence of cultural elements of the Mughals on Indian tradition and vice versa.

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Khuniyagaran, Nadira karan, Dhrupad, Goyinda.

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This paper presents Eleven level multilevel inverter with Photovoltaic system controlled by Fuzzy logic. This multilevel topology generates eleven level output voltage using only nine power switches. This reduces the circuit complexity and also cost. As the inverter voltage levels increases, it reduces harmonic pollution and gives nearly sinusoidal output voltage. Sinusoidal Pulse Width Modulation technique also used to control the output voltage. Mamdani type fuzzy logic controller is used to control the system. Simulation model is developed by using MATLAB / Simulink.

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Cascaded multilevel inverter, Photovoltaic source, Fuzzy logic controller, SPWM

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The tribal children possess the basic cognitive abilities and psychological dispositions for successfully participating in schools and their low achievement levels are attributed to school-related variables just as they would be for non-tribal students. This is in contrast to the common perception that tribal children lack these abilities and dispositions. There are a number of interconnected variables that contribute to the poor academic performance of pupils from tribal communities as well as the below-average basic education level in tribal regions. The majority of children are members of the first generation of learners and their education is typically supported by the circumstances in which they are raised. For ages the tribal people were kept segregated to the jungles and kept them away from the educations. How one can expect the same level of performance in education with the dominant class of people.

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"A STUDY ON ACADEMIC PERFORMANCE IN ENGLISH BY TRIBAL STUDENTS OF RANCHI DISTRICT AT ELEMENTARY LEVEL."

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