Publications by authors named "Rout R"

Radon progeny are the major contributor to inhalation dose to humans from natural sources of radiation. In addition, they are also used as tracers to study atmospheric phenomena. This makes it important to study the behaviour of Radon Progeny in both indoor and outdoor environment.

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Dengue fever is a mosquito borne viral infection caused by a Flavivirus with four serotypes named DENV 1 to 4, is becoming a significant public health hazard. The spectrum of dengue presentation varis from asymptomatic to severe dengue. Neurological manifestation in dengue fever is an unusual presentation, however metabolic encephalopathy/vascular strokes, resulting with organ dysfunction occurs in severe dengue infection.

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Article Synopsis
  • In India, dengue fever is a major health issue, especially during the monsoon season, and C-reactive protein (CRP) serves as an important marker for assessing the severity of the disease.
  • A study was conducted on 189 hospitalized patients diagnosed with dengue fever, analyzing factors like total leukocytes, platelet counts, CRP, and ferritin to understand their correlation with the severity of the illness.
  • The results showed that severe dengue cases had higher levels of CRP and ferritin, with a positive correlation between these two markers, suggesting that ferritin could be an additional biomarker for predicting dengue severity alongside CRP.
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Research Background: L. is traditionally used for the treatment of diabetes mellitus. Since the scientific evidence and mechanism of action have not yet been extensively investigated, this study aims to evaluate the antidiabetic and cytotoxic effects together with the optimisation and development of a scale-up process design for higher yields of bioactive phytocompounds from

Experimental Approach: The study was conducted to predict the binding affinity of phytocompounds of for α-amylase and α-glucosidase enzymes involved in the pathophysiology of diabetes with pharmacokinetic assessment.

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The knowledge of major sources, sinks, and the burial fate of various pollutants added to modern aquatic ecosystems under changing environmental conditions is limited but crucial for our sustainability. In this context, the spatial distributions and causative factors of organic matter (OM) and heavy metal accumulations have been explored in modern lacustrine sediments of a large urbanized and protected wetland (ULB: Upper Lake Bhopal) in Central India. For this purpose, geochemical properties, in particular, stable isotopes (δC and δN) were measured in the ULB surficial sediments (core depth ∼0-1 cm; n = 19), and additionally collected riverbed sediments (n = 2) and atmospheric free-fall dust samples (n = 3) from the lake periphery.

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The purpose of this work is to analyze how new technologies can enhance clinical practice while also examining the physical traits of emotional expressiveness of face expression in a number of psychiatric illnesses. Hence, in this work, an automatic facial expression recognition system has been proposed that analyzes static, sequential, or video facial images from medical healthcare data to detect emotions in people's facial regions. The proposed method has been implemented in five steps.

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Article Synopsis
  • The classification of miRNA species (Human, Gorilla, Rat, Mouse) is complex due to their intricate relationships and previous methods lack robustness and accuracy.
  • GeneAI 3.0 introduces a novel method that integrates machine learning and deep learning to analyze miRNA sequences by extracting features from their nucleotide patterns using both conventional and contemporary feature sets.
  • The study's findings reveal that deep learning approaches outperform traditional methods, with a demonstrated increase in accuracy and area under the curve (AUC), showcasing the effectiveness of ensemble models with composite features in classifying miRNA sequences.
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Even though many different approaches have been employed to address the complex mutational heterogeneity of cancer, finding driver genes is still problematic since other genomic factors cannot be fully integrated for combined analyses. This research paper presents a novel gene identification and segregation model with five key processes (a) pre-processing, (b) treatment of class imbalances, (c) feature extraction, (d) feature selection, and (e) gene classification. To increase the data quality, the gathered initial information is first pre-processed utilizing data cleaning and data normalization.

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Background and objectives Over the years, several treatment options have been developed for neovascular age-related macular degeneration (AMD), the most notable being intravitreal injections of anti-vascular endothelial growth factor drugs. The rationale for treating neovascular AMD is to preserve and improve central vision, enhance the quality of life for affected individuals, stabilize or improve vision, and prevent further structural damage to the macula. The objective of the present study was to evaluate the clinical course of different disease types of neovascular age-related macular degeneration and their treatment response to anti-vascular endothelial growth factor (anti-VEGF) injections.

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Background: Protein methylation, a post-translational modification, is crucial in regulating various cellular functions. Arginine methylation is required to understand crucial biochemical activities and biological functions, like gene regulation, signal transduction, etc. However, some experimental methods, including Chip-Chip, mass spectrometry, and methylation-specific antibodies, exist for the prediction of methylated proteins.

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Background: Multidimensional components of quality of life such as well-being, satisfaction, and lifestyle together ensure an improvement in longer life expectancy. Therefore, it is important to emphasize the assessment of the quality of life (QoL) of the elderly population and its association with various background characteristics.

Methodology: A community-based cross-sectional study was carried out from April to September 2017 among 270 consenting elderly people residing in urban slums under the field practice area of a medical college, using a well-structured, globally validated World Health Organization Quality of Life Brief Version (WHOQOL-BREF) tool.

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Essential genes are essential for the survival of various species. These genes are a family linked to critical cellular activities for species survival. These genes are coded for proteins that regulate central metabolism, gene translation, deoxyribonucleic acid replication, and fundamental cellular structure and facilitate intracellular and extracellular transport.

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Background: The pharmaceutical industry requires a highly qualified workforce with diverse skillsets. Medical affairs pharmaceutical physicians (MAPPs) have unique qualifications among pharmaceutical company employees, but the exact contribution of their education and training is unknown. This study aimed to identify the medical education and training competencies MAPPs use in the pharmaceutical industry in relation to the four external stakeholders, regulators, payors, prescribers, and patients.

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Background: Endoscopic nasal polyp (NP) surgery is a treatment option for patients with chronic rhinosinusitis with nasal polyps (CRSwNP). Previous studies report NP surgery costs of $8000-13,000 and risk of major complications of NP surgery of ~0.1-1%.

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Introduction: One of the hormones that are crucial in safe pregnancy is the Progesterone. Its defect may cause bleeding and abortion. Hence, in this study, we evaluated two different drug modalities of progesterone for their efficacy.

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Atopic dermatitis (AD) is a chronic inflammatory disease, driven by type 2 inflammation. The condition manifests as moderate-to-severe disease in approximately 20% of adults with AD across Europe and is associated with a substantial burden on patients, society and healthcare systems. However, systematic assessments capturing the totality of disease burden associated with moderate-to-severe AD are limited; therefore, the overall impacts of the disease may be underestimated.

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The purpose of the study is to evaluate the antidiabetic and hyperlipidemic potential of stem bark extract of (Lamiaceae), by using streptozotocin (STZ)-nicotinamide (NA)-induced diabetic and triton-induced hyperlipidemic models in albino rats. The blood glucose, total cholesterol, and triglyceride levels were determined in STZ-NA-induced diabetic and triton-induced hyperlipidemic rats, as per the respective protocols. It was found that there is the dose dependent and significant reduction in foregoing parameters on the administration of extract from stem bark at the doses of 200, 400, and 800 mg/kg body weight to diabetic and hyperlipidemic rats.

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Background: Whilst there is international evidence around the high healthcare resource utilization (HRU) associated with atopic dermatitis (AD), there is a lack of published data from the United Kingdom (UK).

Methods: A retrospective, descriptive, observational study was conducted to evaluate the burden of moderate-to-severe AD on the National Health Service (NHS) in an adult UK population treated with traditional standard of care prior to the introduction of biologics. Patients (n=59) were recruited from 6 UK NHS Hospital Trusts and observed over three years.

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Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a chronic condition that can adversely affect quality of life for patients. There is no cure for CRSwNP, and patients may require intermittent systemic corticosteroids (SCS) and surgery in addition to intranasal treatment throughout their lifetime. This places a significant burden on the NHS which can be compounded by comorbid conditions such as asthma or NSAID-exacerbated respiratory disease (NERD).

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A sentiment analysis system has been proposed in this paper for pain detection using cutting edge techniques in a smart healthcare framework. This proposed system may be eligible for detecting pain sentiments by analyzing facial expressions on the human face. The implementation of the proposed system has been divided into four components.

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Background And Objective: The world is currently facing a global emergency due to COVID-19, which requires immediate strategies to strengthen healthcare facilities and prevent further deaths. To achieve effective remedies and solutions, research on different aspects, including the genomic and proteomic level characterizations of SARS-CoV-2, are critical. In this work, the spatial representation/composition and distribution frequency of 20 amino acids across the primary protein sequences of SARS-CoV-2 were examined according to different parameters.

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Background: Recent research suggests that between 20% and 50% of paediatric head injuries attending our emergency department (ED) could be safely discharged soon after triage, without the need for medical review, using a 'Head Injury Discharge At Triage' tool (HIDAT). We sought to implement this into clinical practice.

Methods: Paediatric ED triage staff underwent competency-based assessments for HIDAT with all head injury presentations 1 May to 31 October 2020 included in analysis.

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