ABSTRACT
The plant Curcuma longa, a perennial herbaceous member of the Zingiberaceae (ginger family), produces turmeric. Protein, fat, minerals, carbs, and moisture are all included in turmeric. Curcumin (diferuloylmethane), a phenolic diketone that makes up 34 percent of curcumin and is made up of curcumin I, curcumin II, and curcumin III, is what gives turmeric its characteristic yellow colour. Curcumin have versatile pharmacotherapeutic potential and their biological functions have been thoroughly investigated in recent years. As the main bioactive component, curcumin has numerous pharmacological properties including antioxidant, anti-inflammatory, anti-hypertensive, anti-diabetic, hepatoprotective, anti-rheumatoid arthritis and anti-cancer properties. In persons who are active, it improves recuperation and performance. It helps with viral infections and dental issues such as dental pain, gingivitis. Covid also benefits from curcumin. ar-turmerone also possesses antiinflammatory properties. Ar-turmerone is a potentially effective treatment for a number of neurologic conditions like schizophrenia. Multiple health advantages are provided by curcumin when mixed with boosting agents. Copyright © 2022, Global Research Online. All rights reserved.
ABSTRACT
Background: Coronavirus disease 2019 (COVID-19), a global pandemic which undoubtedly hit the whole world so hard. There have been multiple waves across the globe of varying time, duration, and intensity, India has also witnessed two waves sweeping the entire nation. The second wave had startling intensity with massively increased oxygen requirement, intensive care unit (ICU) admissions. The effect was even more pronounced in the pregnant women as there was increased maternal morbidity and mortality. However, there are limited reports on the impact of COVID-19 during pregnancy. Objective: This study is aimed at highlighting the variance in clinical profile of pregnant patients in first and second wave of COVID-19 in India. Materials and methods: A retrospective observational comparative hospital-based study was conducted in a tertiary care hospital in Delhi during the two waves of COVID-19. The first wave in India lasted from May 2020 to October 2020, and the second wave lasted from April 2021 to June 2021.We obtained the medical records and compiled clinical and outcome data for all pregnant patients, who were admitted in the Department of Obstetrics and Gynaecology of our Hospital during the first and second wave of pandemic with a laboratory-confirmed report of SARS-CoV-2. Results and conclusion: The second wave definitely saw more number of symptomatic patients, an increase in symptom of shortness of breath, increase in oxygen requirement, ICU admissions, marginally increase lower segment cesarean section (LSCS) rates and associated comorbidity such as hypertensive disease of pregnancy.
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Need: A specific and accurate thorough clinical monitoring is crucial for observing patients' recovery status and further planning of treatment/management measures in COVID 19 pandemic. Fluctuations in blood oxygen saturation are particularly important in COVID 19 patients to prevent and early detect the unforeseen situations. Silent hypoxia is one of the threatening situations in such patients. Therefore the exact calibearation and accuracy testing of the oxygen is crucial. Method:. Out of 22 patients in COVID 19 recovery ward, 7 were encountered with silent hypoxia in sample collection process. The 30 paired samples of 15 patients and 14 paired samples of 7 patients with silent hypoxia (in a pair one sample was of SpO2 by pulse oximeter and another was of SaO2 by ABG analyzer) were analyzed seperately for accuracy by Bland and Altman's equations of limits of agreement. The mean difference and standard deviations were documented and the inferences were drawn.
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BACKGROUND: Computer based medical consult are growing across the world rapidly due to the COVID-19 pandemic. A computer-based expert system designed to support doctors in making clinical decisions on the best care for patients with infections. Telemedicine is contributing significantly to healthcare during the pandemic, and it is being used in a number of ways. AIM: To classify a telecommunication medicine instrument that can be used to conduct technology-based patient consultations. METHOD: An observational study was carried out to know the efficacy of computer based medical consults pre and post covid. 102 physicians and patients were involved in study. Then evaluated the pre and post covid use of computer-based consult and modes of communication and feedback was obtained. DATA ANALYSIS PLAN AND METHOD: Data was recorded in excel word sheet. Data analysis was performed in statistical software, INSTAT. RESULT: 62 physicians out of 102 were using telecommunication.46 physicians were finding computer based medical consult efficient and satisfactory with only 15 patients were satisfied with the computer based medical consult. CONCLUSION: The pandemic necessitates a greater emphasis on the personal significance and effectiveness of computer-assisted medical consultations.
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Nowadays, Biometric systems are prevalent for personal recognition. But due to pandemic COVID 19, it is difficult to pursue a touch-based biometric system. To encourage a touchless biometric system, a less constrained multimodal personal identification system using palmprint and dorsal hand vein is presented. Hand based Touchless recognition system gives a higher user-friendly system and avoids the spread of coronavirus. A method using Convolution Neural Networks(CNN) to extract discriminative features from the data samples is proposed. A pre-trained function PCANeT is used in the experiments to show the performance of the system in fusion scheme. This method doesn't require keeping the palm in a specific position or at a certain distance like most other papers. Different patches of ROI are used at two different layers of CNN. Fusion of palmprint and dorsal hand vein is done for final result matching. Both Feature level and score level fusion methods are compared. Results shows the accuracy of upto 98.55% and 98.86% and Equal error rate (EER) of upto 1.22% and 0.93% for score level fusion and feature level fusion, respectively. Our method gives higher accurate results in a less constrained environment.
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One of the worst calamities the world is facing since early 2020 is corona virus or Covid-19 disease which has turned into a pandemic claiming millions of lives across the globe. Twitter sources huge number of tweets related to this disease from users globally. This research focuses on mining Covid-19 tweets using machine learning techniques. The tweets are first pre-processed and converted to a form suitable for applying clustering algorithms. Principal Components Analysis is used to separate most significant components. Similar tweets are categorized using Hierarchical agglomerative clustering. The segregated tweets are visualized on novel and interactive cluster plots, members of which can be identified on user interface interactively by user for easy interpretation. The implementation is done using R programming. Clusters of similar tweets can be used to analyze the response of people to the pandemic across countries, compare and adopt best practices across countries to address the pandemic based on people views, combat spread of rumors and other such applications. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Introduction: According to the WHO guidelines the use of masks has been advocated as one of the most essential and effective barriers against the transmission of the Novel Coronavirus. Objectives: For oral healthcare professionals it is imperative to understand details regarding personal protective equipment. This is because they are in proximity to the patients while carrying out treatments and as such are at a high risk of transmission because of various aerosol-generating procedures. Different types of masks are available which have different efficiency levels in terms of filtration, fluid resistance and shielding from the virus. Description and Results: This article reviews the different types of masks and respirators available and how effective they are in providing protection and safety against virus transmission. Conclusion: Use of an appropriate mask or respirator, depending on the procedure being done, is the need of the hour along with proper personal protective measures.
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Background: COVID-19 has affected all aspects of human life. Health care employees face real-life challenges everywhere in the globe. Dentistry has been equally affected by this pandemic, imposing new precautional steps to be taken in routine practice. Objective: This text aimed towards introducing alternatives to many crucial steps in bonding procedure in orthodontics. Methods: Air free bonding was performed using a plastic water squeezer bottle along with blotting paper instead of using 3 way syringe. Results: The adopted ways resulted in aerosol free bonding. Conclusion: These will be used as an alternate throughout the pandemic. © IJCRR.