Volume 13 | Issue 2 |

 Abstract

Abstract Background: Traumatic brain injury usually results from a violent blow or jolt to the head or body. An object that goes through brain tissue, such as a bullet or shattered piece of skull, also can cause traumatic brain injury. Mild traumatic brain injury may affect your brain cells temporarily. More-serious traumatic brain injury can result in bruising, torn tissues, bleeding and other physical damage to the brain. These injuries can result in long-term complications or death. Traumatic brain injury can have wide-ranging physical and psychological effects. Some signs or symptoms may appear immediately after the traumatic event, while others may appear days or weeks later. Objectives : 1) To assess the pre test knowledge level of staff nurses regarding Traumatic brain injury and its management. 2) To assess the post test knowledge level of staff nurses regarding Traumatic brain injury and its management. 3) To assess the effectiveness of information booklet on knowledge of staff nurses regarding Traumatic brain injury and its management. 4) To determine the association between pre test knowledge of staff nurses regarding Traumatic brain injury and its management and selected demographic variables Hypothesis: H1- There is a significant difference in the pre test and post testknowledge scores of staff nurses regarding Traumatic brain injury and its management. H2- There is a significant association between the pre test knowledge of staff nurses regarding Traumatic brain injury and its management and selected demographic variables at the significance level of 0.05. Methodology: The research design consisted of pre experimental research design of one group pretest and post-test design. The population selected for the study was staff nurses of selected hospitals at Bangalore. The study samples were 60 staff nurses and were selected by using purposive sampling technique. The development of the tool involved steps of test construction i.e. preparing the blue print, selection of items, content validation and establishment of reliability. The content validity of the questionnaire was done and modifications were done according to the suggestions given by the experts. Pre testing and reliability of the tools were done. The reliability co efficient of the knowledge questionnaire was found to be 0.893. The tool was found to be reliable. Results: In the Pre test of knowledge regarding Traumatic brain injury and its management among Staff nurses that the level of knowledge of Staff nurses before providing information booklet. In that Majority 57(95.0%) of the staff nurses. had Inadequate knowledge and 3(5.0%) of the staff nurses had moderately adequate knowledge and there were no staff nurses having adequate knowledge regarding Traumatic brain injury and its management. Where as in post test 47(78.3%) of staff nurses were have adequate knowledge, 7(11.7%) of them have inadequate knowledge and 6(10%) of staff nurses have inadequate knowledge. The mean paired difference in knowledge score was -18.8 with t-value=-22.7 with p-value less than 0.0001. The mean pretest knowledge score was 6.12 and mean post score was 24.8 and the difference in knowledge score was 18.8 with percentage improvement in knowledge was 75.8. Hence information booklet on knowledge regarding Traumatic brain injury and its management among Staff nurses was effective in enhancing their knowledge. The study was concluded that there was a significant improvement obtained following information booklet on Knowledge regarding Traumatic brain injury and its management. This study was recommended that there is an immense need for educational programme to improve the knowledge regarding Traumatic brain injury and its management among staff nurses.

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Key words: Assess, effectiveness, Information booklet, Traumatic brain injury and its management, Staff Nurse.

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This paper presents an IoT-based electric vehicle (EV) charging system that adapts charging parameters based on the specific requirements of each vehicle. The system incorporates an IoT module to communicate between the EV and the charger, dynamically adjusting the voltage and current supplied to the car. Experimental results demonstrate the system's efficiency in reducing charging time and optimizing safety by preventing overcharging. The study highlights the advantages of integrating IoT into EV charging systems, providing a more flexible and adaptive solution compared to traditional chargers.

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IoT, EV charging, dynamic voltage adjustment, smart grid, adaptive charging system.

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Alzheimer Disease is a modern disease that destroys memory and other essential mental features, In brain the neuron cell connections are destroyed and the cells themselves degenerate and die, eventually destroying memory and different critical intellectual features. Alzheimer's disease is presently ranked on the sixth leading reason of dying inside the US, resent studies imply that the Alzheimer's ailment might also rank 1/3, simply behind heart sickness and most cancers, as a purpose of dying in older people. Some treatments can assist to manipulate the signs and symptoms in a few people, presently there may be no precise treatment is available for this disease. Here we discuss: ? Reasons of Alzheimer disease ? Non-pharmacological methods for the treatment of Alzheimer ailment ? Different exams (Test)used for early detection of Alzheimer r's ailment. ? Tablets used for brief improvement and symptomatic treatment of Alzheimer disease. ? Earlier stage treatment trials. The field of Alzheimer Disease studies is advanced in which it is not necessary to justify the importance of prevention as the principle healing goal. After a few many years of studies aimed at advert prevention, there is an abundance of studies in assist of a number of proposed risk and defensive elements. the existing assessment was written in reaction to the evolving remedy techniques and preventive measures of advert. In this assessment, the foremost effect of diagnostic reliability on the opportunity of figuring out preventive techniques had been discussed. we will additionally assessment the scientific evidence to assist shifting from statement to movement, and the ongoing intervention studies associated with Alzheimer's disorder. we will recognition on methodological troubles, as well as future guidelines to higher balance the person based strategies with population wide strategies of preventions.

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Alzheimer's , neurons , Plaques , Detection , sicknesses , implementation

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Haemorrids is difficulties in managing it, the condtion is categorised under Asthamahagada in ayurveda .the classial characteristics of arshas are consistent with prolapse,bleeding,itching,discomfort associated with harmorrhoids , as sign and symptoms. Acharya sushrutha mentioned four therapeutic approaches for the therapy of Arshas ,60 patients diagnosed with arshas selected. The symptoms were completely healed 28days . Aparmarga kshara sutra ligation showed faster sloughing and falling of pile mass then those whi underwent moolaka kshara sutra ligation . So this study suggest moolaka as a powerful and effective substitute for apamarga kshara sutra

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Moolaka kshara sutra , Apamarga ksara sutra

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Corn is a vital crop in India, contributing significantly to the country's economy and providing a source of income for many farmers. However, corn crops in India are often affected by various leaf diseases, such as common rust, gray leaf spot, and northern corn leaf blight, which can significantly reduce crop yield and quality. In the early stages, these diseases can be challenging to distinguish with the naked eye, and manual detection can be time-consuming, expensive, and less reliable. Therefore, there is a pressing need for an accurate, rapid, and cost-effective method for detecting and classifying corn leaf diseases. This work proposes the utilization of deep learning, specifically a multilayer Convolutional Neural Network (CNN) model, ResNet34, augmented with residual blocks, for effective disease detection. Transfer learning, a powerful technique in image classification tasks, is employed to enhance disease identification accuracy and expedite the detection process. By leveraging these advanced techniques, the aim is to revolutionize corn disease detection in India, potentially benefiting farmers and the agricultural sector. The proposed approach not only addresses the challenges associated with manual detection but also promises to streamline the identification process, enabling timely interventions to mitigate the impact of diseases on corn crops. Furthermore, the adoption of such automated systems could lead to improved crop management practices, increased agricultural productivity, and ultimately contribute to food security in India.

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Convolutional Neural Network (CNN),Transfer Learning, Residual Network, Disease Classification, Preprocessing, Confusion Matrix, Early Stopping, Neural Networks, Validation, Model Performance.

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LEMONGRASS OIL,TULSI,ANTIFUNGAL ACTIVITY,CANDIDA ALBICANS SPP

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Since the World Wide Web came into our lives, digital transformation has been constant. As the digital world evolved, customer behavior changed, too, greatly influencing the digitalization of the hotel and travel industries. People expect customer-centric experiences. They want to pick their destination with just a few clicks and get all the details about their stay, including customer service, available activities, room features, and more. This research investigates the influence of digital transformation and AI integration in tourism management experiences through systematic literature analysis. The main focus is on the availability of online booking platforms, integrating AI techniques such as virtual reality and augmented reality technology, and adopting the Internet of Things (IoT) in tourist destination management. This paper is theoretical and based on secondary data. An attempt is made through this research paper to understand the success rate or degree of digitization that has taken place, so far, in the travel and tourism industry which is one of the chief sources of employment in any country in the world. As a comparatively nonpolluting industry, digitalization and AI integration will rake in huge revenue for a cash-starved country like India. A systematic literature review method was used to investigate global developments and the situation in India in the context of tourism digitalization with AI integration in tourism management techniques. The results of the analysis show that these factors contribute positively to tourists' travel experience, by providing easier access, more immersive experiences, and more connected facilities. However, challenges and obstacles remain, including the need for better regulation and more thorough integration of technology in tourism infrastructure.

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Digital transformation, tourism, travel experience, online booking platform, virtual reality technology, augmented reality technology, Internet of Things, systematic literature.

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"Design and Analysis of Suspension System for Military Vehicles" aims to enhance the performance, durability, and maneuverability of military vehicles by focusing on the critical component of suspension system. Military vehicles operate in diverse and challenging terrains, ranging from rough landscapes to combat zones, demanding robust and adaptable suspension systems. This research involves a comprehensive study of existing suspension technologies, materials, and Design methodologies, with a specific focus on their applicability to military vehicles. The project Explores innovative design concepts that can withstand extreme conditions, improve off-road mobility, and provide enhanced crew comfort. The suspension system's role in ensuring the protection of Sensitive equipment and payload integrity during tactical operations is also a significant consideration. Finite Element Analysis (FEA) and computer-aided design tools will be employed to simulate and optimize various suspension configurations. This includes evaluating the system's response to dynamic loads, shocks, and vibrations encountered in military operations. The project will also consider the integration of adaptive suspension technologies to dynamically adjust the vehicle's height and stiffness based on the terrain and operational requirements. Furthermore, the research will delve into the utilization of advanced materials, such as composite materials and high-strength alloys, to reduce weight while maintaining structural integrity. The impact of weight reduction on fuel efficiency, transportability, and overall mission effectiveness will be thoroughly examined.

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Mechanical Suspension system, Heavy Vehicle Suspension System, FEA Analysis of Suspension System

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La notion de diaspora évoque des images de déplacement, de déracinement, de nostalgie et de quête d’identité. Les membres de la diaspora éprouvent un sentiment de perte du pays d’origine et un sentiment d’aliénation dans le pays d’accueil. Et par consequent, les migrants tentent de revivre et de recréer leurs pratiques religieuses, culturelles et linguistiques. Cet article s’inspire des théories de Stuart Hall, Avtar Brah et Paolo Boccagni et tente de rétablir le chez-soi pour la diaspora indienne dans le pays d’accueil. Faisant partie de la diaspora indienne à l’île Maurice, Ananda Devi examine en profondeur les éléments d’indianité dans le roman Pagli. Grâce à sa mère qui est indienne, Devi a été profondément influencée par les coutumes et traditions indiennes. Bien que ses racines soient mauriciennes, les éléments d’indianité entrelacés dans son roman sont distincts et remarquables. La diaspora indienne réintègre les traditions culturelles indiennes dans le sol Mauricien et affirme son appartenance, recrée un sentiment de chez-soi et reconstruit l’identité culturelle indienne. La reconstruction des éléments culturels indiens permet aux Indo-Mauriciens hindous de maintenir leurs liens diasporiques avec la mère patrie.

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Diaspora, nostalgie, foyer, culture, reconnexion, identité, Inde

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Atopic eczema (AE) is a chronic, inflammatory skin disorder which usually develops in early childhood. In spite of intensive investigations, the causes of AE remain unclear, but are likely to be multifactorial in nature. Environmental factors or genetic-environmental interactions seem to play a key role in disease progression. Among various measures of AE managment, cutaneous hydration, which improves barrier function and relieve itchiness, may be helpful to reduce the need for topical steroid use and therefore should be used as a basic treatment. Avoiding aggravating factors is also a basic treatment of AE. Standard medical treatment with a pharmacologic approach may be necessary if basic treatment fails to control symptoms satisfactorily. Recently, more attention is given to a proactive therapeutic by regular intermittent application of low potency steroids or topical calci- neurin inhibitors to prevent new flares. Furthermore, various targeted biologics are being introduced for AE control and are proposed as promising therapies. This paper provides a summary of the recent literature on the manangement of AE and a treatment guideline.

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Key Words: Eczema; atopic dermatitis; atopic eczema; treatment; prevention; epidemiology

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