Volume 12 | Issue 4 |

 Abstract

Abstract: - An adverse drug reaction (ADR) is described by the World Health Organisation (WHO) as any reaction to a medicine "which is noxious and unintended and which occurs at doses used in man for prophylaxis, diagnosis, or therapy. This observational case were carried out in Manipal Hospital Baner, Pune. A 26-year-old pregnant woman. Her family history was not significant. She had iron iron deficiency anaemia (hemoglobin-8.7 g/dl) at the time of presentation. With the preview of anaemia, patient was started on Inj. Ferenject was planned to give with each day a dose of 500mg (one vial) intravenous over one hour. The patient developed breathlessness and myalgia half an hour after the first dose was completed. Half hour later patient had vomiting (one episode) non-projectile which was managed with an anti-emetic. A diagnosis to allergy to ferric carboxymaltose was made.

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Keywords:- Breathlessness, Myalgia, ADR, Ferric carboxymaltose, IDA

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Papaya extract, Coconut oil, Almond oil, Beeswax, Vitamin E, Rose oil

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MGNREGA is one of the flagship programmes launched by the Ministry of Rural Development (MoRD), Government of India, to eradicate unemployment and poverty in the country's rural areas. It is the world's largest social security plan, introduced under the MGNREGA Act of 2005. The Act's mandate is to give 100 days of guaranteed pay employment every fiscal year to every rural household whose adult members volunteer to perform unskilled manual work. The scheme's other goal is to create long-term assets and boost rural people's livelihood resources. This article attempts to conduct a comparative analysis of the performance of MGNREGA on rural people in scheduled and non-scheduled areas of Odisha, one of the country's backward states, in terms of livelihood generation and asset creation during the Covid19 Pandemic. This study evaluates various indicators such as employment generation under MGNREGA, Number of person days generated among various social categories and Households Completed 100 Days of work people in scheduled and non-scheduled areas of Odisha. The study finds there is a variation in the impact of MGNREGA on scheduled and non-scheduled areas of the Odisha. Non-scheduled areas of the state have benefited significantly better than scheduled areas. Even after more than a decade of implementation of the act in Odisha, a large section of the rural population in the schedule areas is yet to reap the benefits of MGNREGA in terms of employment generation and number of person days received through their active participation in the employment generation programme.

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MGNREGA, Schedule areas, Covid 19 pandemic Women, Livelihood generation

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This research paper introduces a streamlined approach to YouTube comments analysis using Natural Language Processing (NLP), focusing on the extraction, categorization, and analysis of user sentiments. The study distinguishes between positive and negative expressions. The system features a practical application for automated delivery of categorized comments to specified email addresses, providing content creators with prompt feedback. Additionally, a user-friendly web application is developed for visualizing sentiment trends, offering a comprehensive understanding of audience reactions. The integrated approach of comment extraction, sentiment analysis, email notification, and web app visualization for an efficient solution for managing and interpreting YouTube user sentiments

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Natural Language Processing (NLP), Sentiment Analysis, YouTube Comments, Vader Lexicon, YouTube Data API, Data Visualization

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Thyroid disease has been on the rise during the past few years. Owing to its importance in metabolism, early detection of thyroiddiseaseisataskofcriticalimportance.Despiteseveralexistingworksonthyroiddiseasedetection,theproblemofclass imbalance is not investigated very well. In addition, existing studies predominantly focus on the binary-class problem. This study aims to solve these issues by the proposed approach where ten types of thyroid diseases are considered. The proposed approach uses a differential evolution (DE)-based optimization algorithm to fine-tune the parameters of machine learning models. Moreover, conditional generative adversarial networks are used for data augmentation. Several sets of experiments are carried out to analyze the performance of the proposed approach with and without model optimization. Results suggest that a 0.998 accuracy score can be obtained using AdaBoost with DE optimization which is better than existing state-of-the-art models.

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People suffer from ailments from no longer running on computers. The concept of visual manipulate could be very beneficial for the improvement of natural intake and for people with disabilities. This software makes use of a webcam to seize facial moves. We used a fixed of tools known as Dlib, which not only plays fast face recognition, but additionally predicts facial capabilities. Using those symbols, you may create appropriate features that allow you to stumble on particular moves, including eye blinks programmed as triggers to manipulate the mouse cursor. PyAutoGUI library is used to control the mouse cursor. This program allows someone to open and close folders, files and programs using a click mechanism. It allows people with disabilities to work on personal computers. Algorithms available within the Dlib toolbox include Support Vector Machine (SVM), Convolutional Neural Networks (CNN) and Histogram of Orientation Gradients (HOG). Compared to preceding projects, this machine, based totally on facial recognition, offers several vital differences and improvements: recognition of facial signals and moves, integration of several algorithms, PyAutoGUI for mouse manage. The mixture of advanced facial reputation strategies, versatile algorithms, handy mouse control the usage of PyAutoGUI and emphasis on real-time interactions make this venture a unique and attempt-efficient precedent in this vicinity.

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PyAutoGUI, Support Vector Machine (SVM), Convolutional Neural Networks (CNN), Histogram of Oriented Gradients (HOG), Image processing, Machine Learning.

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This study is the evidence on the impact of yoga towards mental and physical health by analyzing different review articles. It is suggested a number of Yoga benefits are Yoga is gaining popularity as an accessible, acceptable and effective practice of mind and body. Generally people are practicing Yoga for mental and physical development. Because of Preferences for self-treatment as opposed to clinical intervention, perceived greater efficacy than medication. Lower side effects, lack of response to medication. Yoga has least side effects and is cost-effective in comparison with Pharmacological treatments and psychotherapy. Yoga's helped benefit is that it improves Physical fitness and encourages self reliance- and mental health in this brief article I discussed the evidence for yoga as a form of mental and Physical health promotion, illness Prevention and treatment for depression.

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Yoga , Physical Health, Self confidence, stress, anxiety

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A smiling face always signals a positive and warm welcome in all apposite circumstances. Mostly it helps conversations to begin, to go on and to end in a smooth and effective manner. Here, this paper discusses the digital rendition of this smile and the initiating role of these happy faces in electronic communication which could take the conversation almost half the way leading to the gradual flow of dialogues. Emojis, especially the face emojis which convey positive and happy emotions, are these similar happy faces online, mainly used in text-based electronic communication. As Computer Mediated Communication (CMC) and henceforth the use of instant messaging applications and social networks are rising and spreading, it could be confirmed that the mobile phone users are using these 'stimulants' in their conversations for raising the warmth of their communication. Marcel Danesi (2017) by calling this function of emoji as 'utterance function' says that emojis add a positive tone to messages. Is it the same like 'First impression is the best impression?'... Yes! Thus, this study demonstrates that the emojis as a salutation could create the great impression at its first appearance in the beginning of a conversation and let the conversations endure and thus even let it done successfully.

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Emoji/s, Phatic function, Salutation, Keyboard-to-screen Communication, Speech Act Theory, Impression Management

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The homogeneous solution of potassium dihydrogen phosphate (KDP) crystal the good optical crystal were grown by slow evaporation method. The growth crystal was subjected to various characterizations such as single, powder X-ray diffraction; (XRD) analysis confirmed the crystalline nature of the grown crystal. The obtained XRD pattern matched with well the standard reference data. The KDP single crystals were characterized using UV - visible spectroscopy revealing a wide optical transparency range in the UV to near - IR region. The characteristics of the growth crystal were discussed in detail i.e., cell parameters, optical, function group analysis.

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KDP SINGLE CRYSTAL

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Stroke is a prominent global health issue, ranking as the leading cause of disability and the second leading cause of death. Stroke is a major cause of disability and death worldwide, with significant social and economic implications. It is a debilitating and potentially fatal disorder caused by a reduction or cessation of blood circulation to the brain, which damages or kills brain cells. The rising number of stroke survivors needs enhanced neurorehabilitation procedures. In response to the growing number of stroke survivors and the critical need for effective therapies, a Clinical Decision Support System (CDSS) mobile app is being created to transform stroke care. The software combines innovative technology with medical experience to expedite decision-making workflows for healthcare workers, addressing the critical requirement for quick and accurate interventions in stroke management. Focusing on stroke severity assessment, evidence-based protocol implementation, and personalized patient care, the app provides real-time access to critical information and diagnostic support. Additionally, it encompasses features such as risk assessment, medication management, telestroke consultations, and personalized rehabilitation planning. The CDSS app not only serves as a reliable companion for clinicians but also fosters interdisciplinary collaboration, facilitates telehealth consultations, and encourages continuous learning through data analytics. By offering real-time access to critical information and diagnostic support, along with features like risk assessment, medication management, telestroke consultations, and personalized rehabilitation planning, the CDSS app aims to bridge gaps in stroke care delivery, enhance patient outcomes, and advance healthcare practices

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 Keywords

Stroke Management, Clinical Decision Support System, Stroke severity assessment, personalized healthcare, medication management, advanced healthcare practices

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Creative Commons Attribution 4.0 and The Open Definition