Volume 11 | Issue 6 |

 Abstract

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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 Abstract

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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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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 Keywords

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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