Volume 11 | Issue 6

 Abstract

Looking into the dynamics of Modern Fiction we find that it is one of the most valued essays of Virginia Woolf. On April 10, 1919 it was published as Modern Novels in The Times Literary Supplement. In 1925 it was further revised and published as Modern Fiction in The Common Reader. For modern writers this essay serves as a manifesto as it explores various themes and techniques that is absent in conventional and traditional mode of writing fiction. Thus, it can be said that it challenged the conventions of traditional fiction. In literary history this essay holds a significant position because it established a visionary perspective on the purpose and form of fiction in modern period. Literature has gone through various changing during the late nineteenth and early twentieth century. Linear plot structure, predictable characters along with traditional narrative has been openly challenged by writers like Virginia Woolf and James Joyce in modern period. The present essay entitled Modern Fiction provides fresh insights to modern writers and it can be one of the reasons that it gave immense popularity to Virginia Woolf. Critics and scholars are of the opinion that this essay was a response to traditional literary landscape which failed to capture the complexities of human behaviour. Virginia Woolf has tried hard to redefine the genre of fiction by following experimental and introspective form of writing. It is interesting to note that Modern Fiction also changed the perception of readers and they understood that a true fiction can project the complexities of human behaviour. A good fiction must project the intricacies of life and it can be one of the reasons that a linear and chronological method of storytelling was questioned by Virginia Woolf. She has stated that nothing is fixed in life and thus, there must not be any prejudices in fiction. The subjectivity of human consciousness has been well expressed in the essay Modern Fiction. Woolf has remarked that traditional form of storytelling failed to capture the true moments of life because life is unpredictable. In modern form of writing fiction, we can find that a character is analyzed by different perspectives. True essence of human thoughts and emotions are well expressed through techniques like stream of consciousness in modern form of writing. In traditional literature we cannot find such techniques because it is a result of continuous experimentation with different plots, narrative forms and characters.

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Traditional, Modern, Gender, Fiction, Prejudice

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This research paper aims to explore the role of electronic media, specifically television, in promoting environmental awareness, development, literacy, social awareness, and political consciousness, with a focus on contributing to the Sustainable Development Goals (SDGs). The study investigates how India's English-language electronic media represent environmentally sustainable development activities and compares the level of environmental reporting among five prominent news channels: DD News, CNN-News 18, NDTV 24x7, Times Now and Republic TV. Furthermore, the paper examines media's understanding of environmental sustainability, their coverage of related issues, and the level of responsibility they assume in this regard.

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Environmental awareness, climate change, environmental sustainability, electronic media, Television News, SDGs

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Kukutanda Twaka Bhasma (KTB) is a traditional Ayurvedic medicinal preparation and one of the important calcium- enriched medicines used to treat various ailments such as Shweta Pradara (leuchorrhea), Rakta Pradara (menorrhagia), Kasa (cough), Shwasa (bronchial asthama) and Prameha (diabetes). Kukkutanda is jangama dravya and included under Sudha Varga with Sudha, Kurma prishta, Varatika etc. In this study Kukutanda Twaka Bhasma was prepared by using Kukkutanda Twaka (KT) as per the classical Ayurvedic text and using EMF for completion of incineration process at 8500C to prepare good quality KTB. The physicochemical characterization was carried out by using modern tools and techniques such as XRD, SEM, EDAX and ICP-OES. The study showed that the raw material Kukutanda Twaka is a mineral organic matrix containing CaCO3 and Kukutanda Twaka Bhasma containing CaCO3 in calcite form.

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Kukutanda Twaka Bhasma, Sudha Varga, XRD, SEM, EDAX, ICP-OES.

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According to the Tirthankaras, every living thing has a soul (Jiva), and each one is involved in a seemingly infinite cycle of reincarnation. The ultimate goal of Jainism is to achieve Moksha (freedom), which entails releasing the soul from this cycle of rebirth. Anuvrata, which is the voice of the lay people, followed in order to break the cycle of birth and death and to become the ideal Shravak or Shravika (lay people). Lay people (Shravak /Shravika), who are in household life, follow Anuvrata, whereas Sadhu and Sadhvi, who have given up household life, strictly adhere to Mahavrata throughout their lives. However, since householders are unable to adhere to Mahavrata completely, these Mahavratas are followed in the form of Anuvrata. Satya, Ahimsa, Acharya, Aparigraha, and Brahmacharya are the five fundamental vows. In the research paper, the researcher explains Anuvrata existence, applicability, and significance.

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Anuvrata; lay People, Jain, Movement Vows.

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A superpower is a country which has the capacity to project dominating power and influence anywhere in the world. Currently, the United States is the only country which fulfills the criteria to be considered a superpower. India is poised to be the worlds next superpower with sound and transparent financial system, flourishing IT industry and a well-regulated stock market .It Has been active politically and economically in the past decade as well as its core institution from independent independent judiciary and free press .India is on the verge becoming a permanent member of the United Nation Security Council Its scientistsare planning to launch moon probe . The present article tries to draw a real picture of India's dream of becoming a superpower, By putting all theses aspects together

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India,Super Power,Emerging

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Sentiment analysis from text documents has its impact on different real world applications. Latent Diritchlet Allocation (LDA) is widely used generative process model for processing text documents. However, as one size done not fit all, it is important to improve it towards improving performance in sentiment analysis. In this paper we proposed a generative process model with underlying machine learning (ML) for sentiment analysis. Our framework is known as Enhanced LDA based Sentiment Analysis Framework (ELDA-SAF). It makes use of our enhanced LDA model and also a ML classifier known as Support Vector Machine (SVM) for sentiment classification. We proposed an algorithm known Learning based Sentiment Analysis (LbSA) for realizing our framework. Game dataset consisting of comments on different food ball players is used for our empirical study. Experimental results revealed that our algorithm LbSA outperforms existing methods.

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Sentiment analysis, machine learning, LDA, enhanced LDA, feature engineering, generative process model

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The rice leaf suffers from several bacterial, viral, or fungal diseases and these diseases reduce rice production significantly. Hence early detection of the rice leaf diseases is very important. To sustain rice demand for a vast population globally, the recognition of rice leaf diseases is crucially needed. However, recognition of rice leaf disease is limited to the image backgrounds and image capture conditions. This project proposes a solution for the automated classification of rice leaf diseases using the ResNet-50 architecture. Rice is a vital crop, but it is susceptible to various diseases that can cause significant yield losses. The traditional method of manually identifying and classifying rice leaf diseases is time-consuming and often requires experienced professionals. Therefore, there is a need for an automated solution to classify rice leaf diseases accurately and efficiently. In this paper, we collect a dataset of rice leaf images, preprocess it, train the ResNet-50 model, and evaluate its performance.

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Rice Leaf Disease, Resnet50, crop yield, CNN, Deep Learning

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योग की अलग अलग साधना पद्धतिया प्रचलित है। हर एक साधना पद्धतिसे साधना कर साधक मोक्ष को प्राप्त कर सकता है। कर्मयोग इसी साधना पद्धति में से एक है। सृष्टि के हर एक प्राणी को कर्म करना पड़ता है। विना कर्म किये कोई भी प्राणी यहाँ जीवन यापन नहीं कर सकता, मनुष्य का जीवन भी कर्मप्रधान है। प्रस्तुत अध्ययन में श्रीमद्भगवद्गीता और पातंजल योगदर्शन में वर्णीत कर्मयोग का अध्ययन किया गया है। उसके लिए वर्णनात्मा और विश्लेषणात्मक पद्धति का अवलम्ब किया गया। और यह पाया गया की दोनों ग्रंथो में मनुष्य जीवन उच्चतम अवस्था को प्राप्त करने के लिए कर्मयोग महत्वपूर्ण है तथा कर्मयोग की सामान अवधारणा देखने मिली है। जिसे श्रीकृष्ण ने निष्काम कर्मयोग और पतंजलि ने अशुक्ल-अकृष्ण कर्म कहा है।

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मुख्य शब्द - श्रीमद्भगवद्गीता, पातंजल योग, कर्मयोग

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Baras (Vitiligo) is an acquired pigmentary, multifactorial, Polygenic disorder, with a complex pathogenesis. It is a common depigmenting disorder has an estimated prevelance of 0.5-2% of the population worldwide. The disease is characterized by the selective loss of melanocytes which results in typical non scaly, chalky white macules. The main effect of Baras (Vitiligo) is in the form of psychological impact of the disease. In unani system of medicine (USM) Bars is caused due to weakness of Quwat -e-Mughaiyirah wa Mushabbiha (transformative faculty) of the skin and the liver. Besides these Fasad-ud -Dam (impairment of blood) and Burudat -ud-Dam (coldness of blood) also play an important role in aggreviating Bars. The role of diet (restrictions and recommendations) are well documented in the classic unani literature in the management of Baras (Vitiligo).The Management of Baras (Vitiligo) involves Tanqiya -e-Badan. It is performed in three steps: administering Munzij -e- Balgham drugs till Nuzj appears followed by three mushily (Purges) and Tabreed (Cooling agents) after every Ishal.

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Baras, vitiligo, USM, Quwat-e- Mughaiyirah wa Mushabbiha, Fasad -e-Dam

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Pain management is a critical aspect of patient care, particularly in the field of neuroscience nursing where patients often experience acute and chronic pain related to various neurological conditions. This research article aims to explore the multifaceted role of neuroscience nurses in effectively managing pain in patients with neurological disorders. The article examines the challenges faced by neuroscience nurses in assessing and addressing pain, discusses evidence-based interventions and strategies employed by these nurses, and highlights the importance of a comprehensive and multidisciplinary approach to pain management in neurological care settings. Furthermore, the article emphasizes the significance of ongoing education, training, and collaboration for neuroscience nurses to provide optimal pain relief and improve patient outcomes.

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The Role of Neuroscience Nurses in Pain Management for Neurological Conditions.

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The gradual decrease of renal function that results in chronic kidney disease (CKD) is a degenerative disorder that can cause a number of issues. Anaemia is one of these issues that affects CKD patients often and significantly. This presentation seeks to present a thorough discussion of the impact of anaemia on CKD patients, including its pathogenesis, clinical symptoms, and implications for patient outcomes. Beyond symptomatology, anaemia has an impact on CKD patients. It has been linked to a higher risk of cardiovascular events, more hospital stays, worse cognitive function, lower quality of life, and higher death rates. Erythropoiesis-stimulating medications and iron supplements are often used to treat anaemia in people with chronic kidney disease (CKD), although the best strategy is still under investigation. This study also emphasises the difficulties in detecting and treating anaemia in CKD patients. A thorough review that includes test results for erythropoietin, iron studies, and haemoglobin levels is necessary for an accurate diagnosis. Considerations for treatment include controlling iron storage, tailoring therapy depending on patient characteristics, and keeping an eye out for any potential side effects. In conclusion, anaemia is a frequent and serious consequence in CKD patients that significantly affects their health and quality of life. To improve patient outcomes and quality of life, anaemia in CKD must be identified early and managed appropriately. To lessen the burden of anaemia in this susceptible patient group, further research is required to improve diagnostic standards, optimise therapeutic treatments, and investigate innovative treatment methods.

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: Anemia, chronic-kidney disease, Erythropoiesis, uremic milieu, arteriosclerosis.

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cgq cqf) rFkk "kSf{kd miyfC/kA

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Pompe disease is a hereditary, uncommon (one in every 40,000 births) and frequently deadly ailment that affects the heart and skeletal muscles. Mutations in a gene that produces an enzyme called acid alpha-glucosidase cause it (GAA). This article is meant to raise awareness among Pompe disease patients. We also talk about new future treatments on the market for the treatment of Pompe illness.

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Pompe disease,Glycogenstorage disease type II ,Enzyme replacement therapy ,Gene therapy , Pompe disease diagnosis , Early symptom recognition,Pulmonary function testing ,Cardiac monitoring,New therapeutic options ,Patient advocacy groups

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Parkinson's disease (PD) is a complex neurodegenerative condition marked by the gradual loss of dopaminergic neurons in the substantia nigra area of the brain. Millions of people are impacted globally, and the healthcare systems, families, and patients are all heavily impacted. This study offers a thorough summary of current knowledge on Parkinson's disease, including its aetiology, clinical symptoms, diagnostic methods, and potential treatment options. In conclusion, Parkinson's disease is a very diverse and complicated sickness that has a big influence on both people and society. There is now room for more specialised and individualised management strategies thanks to improvements in our knowledge of its aetiology, clinical presentation, and available treatments. But more study is required to understand the complex pathophysiological mechanisms behind PD and create cutting-edge therapy approaches that can enhance the lives of those who are affected and finally result in a cure.

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Parkinson's, Neuronal degeneration ,Movement disorders , Tremors ,Stiffnes ,Slowness , Dopamine , Neurotransmitters, Lewy bodies ,Bradykinesia ,Akinesia ,Rigidity ,Dystonia ,Motor symptoms , Non-motor symptoms , Deep brain stimulation , Levodopa ,Dyskinesia , Cognitive impairment.

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Because of the related morbidity, death, and societal economic costs, hypertension continues to be a major public health problem. It poses a considerable risk for renal, cardiovascular, and cerebrovascular issues. 1.56 billion people will develop hypertension by the year 2025, according to predictions. The prevalence of hypertension is rising, and the cost of treating it is also rising, which has an impact on how often doctors prescribe certain medications and how well their patients adhere to their treatment plans. The management of hypertension is covered in a variety of published national and international recommendations. Since many years ago, diuretics have been recommended as first-line medications for the treatment of hypertension. However, the Joint National Commission's most recent guidelines (the JNC8 guidelines) also recommend calcium channel blockers and angiotensin-converting enzyme inhibitors as first-line medications, in addition to diuretics. For long-term management and the treatment of comorbid disorders, antihypertensive medication combinations are often employed. This study focuses on how antihypertensive drugs are used, how much they cost, how well patients follow their treatment plans, and how closely doctors follow prescription drug standards in various contexts, including the Indian context.

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Hypertention , Cardiovascular disease(CVD), Chronic kidney disease(CKD), Kidney failure, Stroke, Myocardial infraction, Heart failure, Obesity.

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Alzheimer's disease (AD) is a devastating neurodegenerative disorder characterized by cognitive decline, memory loss, and behavioral changes. With over 50 million people worldwide affected by AD, early diagnosis and effective treatment strategies are essential for improving patient outcomes and reducing the burden on individuals, caregivers, and healthcare systems. Advancements in diagnostic techniques have significantly contributed to AD diagnosis. Neuroimaging techniques such as PET, MRI, fMRI, and amyloid imaging have emerged as valuable tools for detecting pathological changes associated with AD in the brain. Cerebrospinal fluid (CSF) biomarkers, including beta-amyloid peptides and tau proteins, have shown promise in early detection and differential diagnosis. Blood-based biomarkers such as plasma A? and tau levels, neurofilament light chain, and inflammatory markers are also being investigated for their diagnostic utility. Artificial intelligence (AI) and machine learning (ML) algorithms have demonstrated potential in enhancing the accuracy and efficiency of AD diagnosis by analyzing complex datasets. In terms of therapeutic advancements, significant progress has been made in developing disease-modifying therapies for AD. Approaches targeting beta-amyloid, tau protein, inflammation, and neuroprotection are being explored. Non-pharmacological interventions, including cognitive training, physical exercise, lifestyle modifications, and nutritional interventions, have shown promise in managing symptoms and improving quality of life for AD patients. Emerging therapeutic approaches, such as immunotherapy, gene therapy, stem cell therapy, and epigenetic modifications, are being investigated for their ability to target AD pathology and provide novel treatment options. Despite these advancements, challenges remain in AD diagnosis and treatment. Ethical considerations in early detection and predictive testing, ensuring access to innovative diagnostics and treatments, promoting precision medicine and personalized approaches, and fostering collaborative research efforts and clinical trials are crucial for further advancements in the field.

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Alzheimer's Disease, Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Beta- Amyloid.

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The central nervous system is severely harmed by meningitis. The meninges, which are the membranes that encircle the brain and spinal cord, are inflamed. Bacterial, viral, or fungal infections can result in meningitis. This neurological condition can be brought on by a variety of viruses, including influenza, herpes, and enteroviruses. The majority of viral meningitis cases, however, have been linked to enteroviruses globally. It can be challenging to make an early diagnosis of viral meningitis because, with few exceptions, the clinical manifestations and symptoms are the same across the different causative agents. More research is required to better understand the pathogenesis of viral meningitis so that patients can receive better healthcare.

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Meningitis, enteroviruses, herpesviruses, influenza viruses

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बौद्ध धर्म एक महत्वपूर्ण धर्म है जो गौतम बुद्ध (Gautama Buddha) के उपदेशों पर आधारित है। यह धर्म सन् 6वीं शताब्दी ईसा पूर्व से प्रभावशाली रूप से विकसित हुआ और वर्तमान में विश्वव्यापी रूप से प्रचलित है।

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????? ????

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The need for efficient fire detection systems is highlighted by the substantial threats that forest fires pose to both human lives and the ecosystem. Limited coverage, high false alarm rates, and delays in signal transmission are just a few of the problems traditional methods for detecting forest fires sometimes encounter. This research study suggests a unique strategy that uses long-range (LoRa) communication technology for forest fire detection to address these problems. LoRa allows for long-range, low-power wireless communication, making it appropriate for installation in sparsely populated, off-the-grid forest areas. This study investigates the development, application, and assessment of a LoRa-based forest fire detection system. The suggested system includes a network of sensor nodes outfitted with LoRa transceivers and fire detection sensors. The sensor nodes send real-time data to a centralised control centre while continuously monitoring environmental variables like temperature, humidity, and smoke. Complex algorithms are used by the control centre to analyse the data it receives and identify probable fire issues. When a fire is discovered, the system immediately creates notifications and sends them to the appropriate authorities and local communities. Numerous field tests were carried out in various forest settings to gauge the success of the suggested strategy. The outcomes show the system's capacity for precise fire detection, minimal false alarm rates, and quick response times. A viable option for early forest fire detection and prevention, the LoRa-based system also shown its benefits in terms of broad coverage, long-range communication, and energy economy. This study advances forest fire management systems by laying the groundwork for the creation of reliable, scalable, and affordable fire detection technologies that can lessen the devastation caused by forest fires. This research paper's main goal is to offer a thorough analysis of the development, use, and evaluation of a LoRa-based forest fire detection system.

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LoRa communication, environmental monitoring, early warning systems, wireless sensor networks.

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The objectives of the present research work to develop the Union Fabrics for kids wear, Women's wear and Men's wear having the 100% Cotton (2/50) in warp and 100 % Bamboo (1/30), 100 % Modal (1/30), 100 % Viscose(1/30) and 100 % Cotton(1/30) in weft to improve handle properties of fabric in terms of bending length and crease recovery of union fabrics with cotton yarn as warp and yarn from regenerated fibers (Viscose, Bamboo and Modal) as weft having properties similar or better than 100% cotton. Twill weave is used as fabric structure. Bending length and crease recovery property of modal fabric was found best out of cotton, bamboo and viscose.

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Bending length, Crease Recovery, Cotton, Viscose, Bamboo, Modal, Warp, Weft, Resiliency, Stress and Strain.

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