Publications by authors named "Meenu Rani"

Background: Tumor cell phagocytosis (cannibalism) is rarely seen in lung carcinomas. Little is known about its underlying cellular pathogenesis and associated significance as tumor immune escape mechanism.

Methodology: The cases of lung cancer diagnosed at department of Pathology, VPCI over 13-year period, 2007-2020 (n = 350) were retrospectively reviewed.

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There has been a long-lasting impact of the lockdown imposed due to COVID-19 on several fronts. One such front is climate which has seen several implications. The consequences of climate change owing to this lockdown need to be explored taking into consideration various climatic indicators.

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Immune checkpoint inhibitor (PD-L1) therapy of advanced non-small-cell lung cancer (NSCLC) has variable outcomes. Tumor subtypes based on PD-L1 expression, histopathology, mutation burden is required for patient stratification and formulation of treatment guidelines. Lung cancers (n=57) diagnosed at Pathology department, VPCI (2018-2021) were retrospectively analyzed.

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COVID-19 cases in India have been steadily increasing since January 30, 2020 and have led to a government-imposed lockdown across the country to curtail community transmission with significant impacts on societal systems. Forecasts using mathematical-epidemiological models have played and continue to play an important role in assessing the probability of COVID-19 infection under specific conditions and are urgently needed to prepare health systems for coping with this pandemic. In many instances, however, access to dedicated and updated information, in particular at regional administrative levels, is surprisingly scarce considering its evident importance and provides a hindrance for the implementation of sustainable coping strategies.

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Article Synopsis
  • - Researchers utilize various mathematical models to predict the progression of COVID-19, focusing on the effects of non-pharmaceutical interventions, but these forecasts carry large uncertainties due to data quality and differing local conditions.
  • - The study conducts comparative analyses of actual COVID-19 trends in ten heavily affected countries against two model types (SIR and Holt-Winters) to understand how systematic biases affect model accuracy.
  • - Results show significant variations in forecasting performance across countries, highlighting that individual model predictions are highly sensitive to data subsets and time frames used in the analyses.
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Background: To prevent the rapid spread of infectious COVID-19 in India, many steps have been taken. Adherence to the control measures depends on the knowledge, attitude, and practices (KAPs) toward COVID-19 disease in health-care professionals. The present study was conducted among health-care professionals in Jaipur.

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The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined.

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Background: Osteoarthritis is the most common type of arthritis. Depression, anxiety, and stress are associated with knee osteoarthritis.

Objectives: The aim of the study was to check the effectiveness of acupressure therapy with pharmacological treatment on pain, depression, anxiety, and stress in patients with knee osteoarthritis and to assess the effect of pain improvement on psychological health.

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Background: The coronavirus disease (COVID-19) pandemic has affected more than 200 countries and has infected more than 2,800,000 people as of April 24, 2020. It was first identified in Wuhan City in China in December 2019.

Objective: The aim of this study is to identify the top 15 countries with spatial mapping of the confirmed cases.

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The vibration monitoring of ball bearings of a rotating machinery is a crucial aspect for smooth functioning and sustainability of plants. The wireless vibration monitoring using conventional Nyquist sampling techniques is costly in terms of power consumption, as it generates lots of data that need to be processed. To overcome this issue, compressive sensing (CS) can be employed, which directly acquires the signal in compressed form and hence reduces power consumption.

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Background: As the list of predatory journals is burgeoning, the researchers should have knowledge of calculating the predatory rate (PR) for the journals, in which they aim to publish their work and self-guard them from publishing in bogus journals.

Aim And Objectives: Our aim is to find out the predatory rate for various Pharmacology journals.

Materials And Methods: Here, we have examined the recently updated list (in 2017) of standalone predatory journals created and maintained by Beall, pertinent to all auspices of pharmacology including pharmacy, pharmaceutical, and pharmacognosy.

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Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India.

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This study was conducted to analyze the impact of fluoride in the anthropogenic condition in an industrial region promoting and affecting the health of the workers. Fluoride is toxic to humans in high concentrations, such as can occur in persons working in fluoride-containing mineral industries like aluminum industries. When workers are exposed to fluoride-containing minerals, they can suffer from a variety of health problems, such as dental disease.

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