Publications by authors named "Manas R Prusty"

Article Synopsis
  • Myocardial infarction (MI) is a critical health issue that requires quick and accurate diagnostic methods, and this paper introduces a new technique using the Discrete Wavelet Transform (DWT) to improve detection of MI from ECG signals.
  • The DWT helps isolate and reduce noise in ECG recordings, allowing for cleaner signals, which are then analyzed using lightweight one-dimensional Convolutional Neural Networks (CNN) to classify them as either MI or normal.
  • The proposed model demonstrates strong performance, achieving a 96% accuracy with one dataset and 91.18% with another, while also addressing class imbalances through under-sampling and up-sampling techniques.
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Nucleotide-binding leucine-rich repeat (NLR) disease resistance genes typically confer resistance against races of a single pathogen. Here, we report that Yr87/Lr85, an NLR gene from Aegilops sharonensis and Aegilops longissima, confers resistance against both P. striiformis tritici (Pst) and Puccinia triticina (Pt) that cause stripe and leaf rust, respectively.

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The prevalence of colorectal cancer, primarily emerging from polyps, underscores the importance of their early detection in colonoscopy images. Due to the inherent complexity and variability of polyp appearances, the task stands difficult despite recent advances in medical technology. To tackle these challenges, a deep learning model featuring a customized U-Net architecture, AdaptUNet is proposed.

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In plants, the contribution of the plasmotype (mitochondria and chloroplast) in controlling the circadian clock plasticity and possible consequences on cytonuclear genetic makeup have yet to be fully elucidated. A genome-wide association study in the wild barley (Hordeum vulgare ssp. spontaneum) B1K collection identified overlap with our previously mapped DRIVERS OF CLOCKS (DOCs) loci in wild-cultivated interspecific population.

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Heart diseases are leading to death across the globe. Exact detection and treatment for heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one of the tests that take measures of heartbeat fluctuations.

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Abiotic stresses, including drought, salinity, cold, heat, and heavy metals, extensively reducing global agricultural production. Traditional breeding approaches and transgenic technology have been widely used to mitigate the risks of these environmental stresses. The discovery of engineered nucleases as genetic scissors to carry out precise manipulation in crop stress-responsive genes and associated molecular network has paved the way for sustainable management of abiotic stress conditions.

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Article Synopsis
  • The COVID-19 pandemic has created urgent public health challenges, highlighting the need for effective detection and diagnosis to save lives.
  • Traditional testing methods like RT-PCR are expensive and time-consuming, while manual X-ray analysis for COVID-19 diagnosis is labor-intensive.
  • This study introduces a computer-aided diagnosis system using chest X-ray images and a novel multiscale deep learning model, achieving high accuracy rates of up to 100% for classifying COVID-19 from X-rays, outperforming existing detection methods.
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At the onset of 2020, the world saw the rise and spread of a global pandemic named COVID-19 which caused numerous deaths and affected millions of people around the world. Due to its highly contagious nature, this disease spread across the world within a short span of time. It forced almost all the nations to implement strict social distancing rules along with use of face masks to reduce the risk of getting infected.

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Circadian clock rhythms are shown to be intertwined with crop adaptation. To realize the adaptive value of changes in these rhythms under crop domestication and improvement, there is a need to compare the genetics of clock and yield traits. We compared circadian clock rhythmicity based on Chl leaf fluorescence and transcriptomics among wild ancestors, landraces, and breeding lines of barley under optimal and high temperatures.

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Almost every dataset these days continually faces the predicament of class imbalance. It is difficult to train classifiers on these types of data as they become biased towards a set of classes, hence leading to reduction in classifier performance. This setback is often tackled by the use of various over-sampling or under-sampling algorithms.

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Temperature compensation, expressed as the ability to maintain clock characteristics (mainly period) in face of temperature changes, that is, robustness, is considered a key feature of circadian clock systems. In this study, we explore the genetic basis for lack of robustness, that is, plasticity, of circadian clock as reflected by photosynthesis rhythmicity. The clock rhythmicity of a new wild barley reciprocal doubled haploid population was analysed with a high temporal resolution of pulsed amplitude modulation of chlorophyll fluorescence under optimal (22°C) and high (32°C) temperature.

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Key message Development of MAALs and disomic introgression lines derived from the cross between O. sativa and O. rhizomatis to exploit and utilize the valuable traits for rice improvement.

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Cultivated rice ( L.) is very sensitive to salt stress. So far a few rice landraces have been identified as a source of salt tolerance and utilized in rice improvement.

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Background & Objectives: Knowledge on prevalence of malaria vector species of a certain area provides important information for implementation of appropriate control strategies. The present study describes a rapid method for screening of major Anopheline vector species and at the same time detection of Plasmodium falciparum sporozoite infection and blood meal preferences/trophic preferences.

Methods: The study was carried from February 2012 to March 2013 in three seasons, i.

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Background: Anopheles fluviatilis exists as a complex of sibling species S, T, U and V exhibiting distinct variations. Sibling species S is considered as the main vector and anthropogenic whereas T, U and V are zoophagic non-vectors. This study was performed in a forested village of Keonjhar district, Odisha to identify the status of An.

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