Publications by authors named "Saha U"

Human interventions in the form of riverbed sand mining are escalating worldwide, especially in the humid tropics with excess population pressure exerting an elevated demand for sand as construction materials. Naturally, channel morphological alterations are observed for the tropical fluvial systems to a large extent. The present work examines the riverbed sand mining of the Mayurakshi River (India) during the last fifty years (1970-2020) using topographical maps, satellite images and field-based cross-sectional measurements.

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Vasculitides represent a range of disorders marked by inflammation of blood vessels, often posing significant diagnostic challenges due to their diverse clinical presentations and involvement of multiple organ systems. We present the case of a 26-year-old woman who arrived with hemoptysis and a background of exertional dyspnea, chest pain, and occasional visual disturbances. Initial investigations showed elevated perinuclear anti-neutrophil cytoplasmic antibodies (P-ANCAs) and myeloperoxidase antibodies (MPOs), indicative of microscopic polyangiitis (MPA).

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Defining the beginning of a eukaryotic protein-coding gene is relatively simple. It corresponds to the first ribonucleotide incorporated by RNA polymerase II (Pol II) into the nascent RNA molecule. This nucleotide is protected by capping and maintained in the mature messenger RNA (mRNA).

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Automatic License Plate Recognition (ALPR) systems are essential for Intelligent Transport Systems (ITS), effective transportation management, security, law enforcement, etc. However, the performance of ALPR systems can be significantly affected by environmental conditions such as heavy rain, fog, and pollution. This paper introduces a weather-adaptive Convolutional Neural Network (CNN) framework that leverages the YOLOv10 model that is designed to enhance license plate detection in adverse weather conditions.

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The extensive use of plastics in modern dentistry, including oral care products and dental materials, has raised significant concerns due to the increasing evidence of potential harm to human health and the environment caused by the unintentional release of microplastics (MPs) and nanoplastics (NPs). Particles from sources like toothpaste, toothbrushes, orthodontic implants, and denture materials are generated through mechanical friction, pH changes, and thermal fluctuations. These processes cause surface stress, weaken material integrity, and induce wear, posing health risks such as exposure to harmful monomers and additives, while contributing to environmental contamination.

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  • * A recent genomic study identified extensively drug-resistant strains of these bacteria from a blood sample of a patient with a specific kidney condition (pauci-immune crescentic glomerulonephritis), utilizing whole-genome sequencing to analyze their characteristics.
  • * The analysis revealed distinct genome sizes and features, including multiple virulence factors and antimicrobial resistance mechanisms, emphasizing the need to understand these polymicrobial infections for better treatment strategies.
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The burgeoning issue of microplastic pollution in marine ecosystems has emerged as a significant concern, presently multifaceted difficulty to the sustainability and prosperity of the blue economy. This review examines the intricate link between microplastics (MPs) and the blue economy (BE), exploring how microplastics infiltrate marine environments, their persistence, and their impacts on economic activities reliant on healthy oceans in a global scenario. Diminished seafood quality and quantity, degraded coastal aesthetics affecting tourism revenues, and increased operational costs due to fouling and contamination are among the economic repercussions identified.

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  • Strong coupling between polarization and strain in ferroelectric complex oxides allows for significant tuning of their properties, particularly demonstrated in KNbO thin films.
  • Applying biaxial strain can drastically increase the Curie temperature, with predictions indicating it could exceed 1325 K under certain conditions.
  • Enhanced properties such as a 46% increase in remanent polarization and a 200% boost in optical second harmonic generation coefficients make lead-free KNbO a promising candidate for high-temperature ferroelectric memory and quantum computing applications.
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Every year, pulmonary embolism (PE) causes about 100,000 fatalities in the United States. Acute PE is a prevalent and occasionally fatal kind of venous thromboembolism (VTE). PE can appear in a variety of ways and is frequently nonspecific in its clinical presentation, making its diagnosis challenging.

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  • - Klebsiella pneumoniae is a serious Gram-negative bacterium known for causing infections and developing antibiotic resistance, especially in its hypervirulent forms that are increasingly affecting community health.
  • - A study analyzed 225 K. pneumoniae isolates over a year at a hospital in Pune, India, finding that 76% formed strong biofilms and many carried genes related to antibiotic resistance and virulence.
  • - The research highlights the urgent need for monitoring and managing these infections due to their potential threats to public health, as strong biofilm formation and multidrug resistance were prevalent in the isolates.
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  • Complete deadenylation of polyA-tails in mRNAs is crucial for starting the decapping and degradation processes in cells.
  • Researchers conducted RNA sequencing in yeast and created a model estimating the rate of deadenylation, finding it to be about 10 adenines per minute.
  • The study revealed that while degradation rates of specific mRNAs, like ribosomal protein-coding mRNAs, increase under stress, these mRNAs can still degrade even if their deadenylation is inhibited, highlighting complex interactions between these processes.
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This article proposes a proximal policy optimization (PPO)-based reinforcement learning (RL) approach for DC-DC boost converter control that is compared with traditional control methods. The performance of the PPO algorithm is evaluated using MATLAB Simulink co-simulation, and the results demonstrate that the most efficient approach for achieving short settling time and stability is to combine the PPO algorithm with a reinforcement learning-based control method. The simulation results show that the control method based on RL with the PPO algorithm provides step response characteristics that outperform traditional control approaches, thereby enhancing DC-DC boost converter control.

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A patient's demographics often guide healthcare providers toward clues to a diagnosis. A recent travel history becomes an essential piece of the puzzle when there is a high suspicion of an infectious cause. When a patient walks into the hospital after having traveled to or from a resource-poor country with systemic afflictions, a physician's mind quickly jumps to infectious causes, and in most circumstances, it proves to be correct.

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Diabetes is a global epidemic with severe consequences for individuals and healthcare systems. While early and personalized prediction can significantly improve outcomes, traditional centralized prediction models suffer from privacy risks and limited data diversity. This paper introduces a novel framework that integrates blockchain and federated learning to address these challenges.

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Bioaccumulation of d-Limonene in environment due to the aggrandised usage of their natural sources like citrus food wastes and industrial day to day life products has raised concern to their biotoxicity to environment biotic health. Moreover, their after-usage discharge to aquatic system has enhanced the distress of posing threat and needs attention. This study entails mechanistic and molecular evaluation of in-vivo biotoxicity of d-Limonene in zebrafish embryo models.

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The prevalence of polymer usage in everyday activities has emerged as a detriment to both human life and the environment. A large number of studies describe severe impacts of micropolymers (MP) and nanopolymers (NP) on various organ systems, including the endocrine system. Additionally, plasticizers utilized as additives have been identified as endocrine-disrupting chemicals (EDCs).

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Recent advances in machine learning methods for materials science have significantly enhanced accurate predictions of the properties of novel materials. Here, we explore whether these advances can be adapted to drug discovery by addressing the problem of prospective validation - the assessment of the performance of a method on out-of-distribution data. First, we tested whether k-fold n-step forward cross-validation could improve the accuracy of out-of-distribution small molecule bioactivity predictions.

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  • Freezing of gait (FOG) is a troublesome symptom in Parkinson's disease, where patients struggle to move forward, prompting research into brain activity changes that may occur before these episodes.
  • A study involving 19 Parkinson's patients explored their brain activity using EEG while they performed a task that mimicked FOG scenarios, comparing those with and without FOG during both medicated and unmedicated states.
  • Results indicated that patients with FOG showed increased alpha brain waves in specific regions of the brain before experiencing movement blocks, and this activity was correlated with the severity of their FOG, suggesting a connection between brain activity and the freezing episodes.
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Background: Gastroparesis is a condition that affects the motility of the gastrointestinal (GI) tract, causing a delay in the emptying process and leading to nausea, vomiting, bloating, and upper abdominal pain. Motility treatment along with symptom management can be done using antiemetics or prokinetics. This study highlights the diagnostic and therapeutic challenges of gastroparesis and suggests a potential link between facial trauma and symptom remission, indicating the need for further investigation.

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Achieving high-resolution and high signal-to-noise ratio (SNR) in vivo metabolic imaging via fast magnetic resonance spectroscopic imaging (MRSI) has been a longstanding challenge. This study combines the methods of relaxation enhancement (RE) and subspace imaging for the first time, enabling high-resolution and high-SNR in vivo MRSI of rodent brains at 9.4 T.

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Prosthetic implant-associated arthritis due to is mostly reported for . Here, we describe a patient who underwent total knee replacement 12 years ago and presented with pain, tenderness, redness and local rise in temperature in the right knee. Purulent fluid was aspirated.

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The Muriganga River, also known as channel creek, underwent morphological changes often since it is an alluvial as well as a tidal river. The present study analyses the morphological changes in the Muriganga River and its islands with the help of the Remote Sensing and Geographical Information System (GIS) and digital shoreline analysis tool (DSAS 5.0).

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Bioaccumulation of Chlorpyrifos (CP) as pesticides due to their aggrandized use in agriculture has raised serious concern on the health of ecosystem and human beings. Moreover, their degraded products like 3,5,6-trichloro-2-pyridinol (TCP) has enhanced the distress due to their unpredictable biotoxicity. This study evaluates and deduce the comparative in vivo mechanistic biotoxicity of CP and TCP with zebrafish embryos through experimental and computational approach.

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  • The study examines the rising rates of Caesarean sections in Bangladesh over the past two decades, investigating correlations with maternal healthcare services like antenatal care and private facility childbirth.
  • Using data from the 2019 Bangladesh Multiple Indicator Cluster Survey, the researchers developed a joint model to analyze the relationships between these maternal health indicators and their socio-economic predictors.
  • Findings indicate a positive correlation between antenatal care, delivery in private facilities, and C-sections, highlighting the influence of factors such as education, media exposure, and regional settings on maternal healthcare choices, with concerns about the high C-section rates in relation to WHO guidelines.
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Patients with venous thromboembolism (VTE) frequently employ inferior vena cava (IVC) filters to keep them from getting pulmonary embolisms. Even though they are usually thought to be safe, there can be complications during or after their placement. IVC filter perforation into adjacent structures, such as the duodenum, is an uncommon but potentially serious complication.

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