611 research outputs found

    A case of placental chorioangioma

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    Chorioangioma is a benign tumor of placenta, incidence being 1 in 100 cases. It is mostly diagnosed ultrasonically in the second trimester of pregnancy. Large chorioangiomas render a challenge to obstetricians due to the foeto maternal complications and adverse outcomes. Here by authors present a case report of large chorioangioma with no fetomaternal complications but just for awareness of the importance of early diagnosis and to look out for possible adverse effects on mother and foetus

    Bumper catch of sea bass, Lates calcarifer (Bloch, 1790) by gill netters in Mumbai waters

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    Lates calcarifer is commonly called as giant sea bass, sea perch or giant brackish water perch and in Maharastra, locally known as ‘Khajura’ (Waghmare and Sawant, 1994). Sea bass is considered as a valuable seafood delicacy with good demand in market. They are found in coastal waters, estuaries and lagoons usually at a depth of 40 m and mainly feed on fishes and crustaceans

    Iterative Approximate Consensus in the presence of Byzantine Link Failures

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    This paper explores the problem of reaching approximate consensus in synchronous point-to-point networks, where each directed link of the underlying communication graph represents a communication channel between a pair of nodes. We adopt the transient Byzantine link failure model [15, 16], where an omniscient adversary controls a subset of the directed communication links, but the nodes are assumed to be fault-free. Recent work has addressed the problem of reaching approximate consen- sus in incomplete graphs with Byzantine nodes using a restricted class of iterative algorithms that maintain only a small amount of memory across iterations [22, 21, 23, 12]. However, to the best of our knowledge, we are the first to consider approximate consensus in the presence of Byzan- tine links. We extend our past work that provided exact characterization of graphs in which the iterative approximate consensus problem in the presence of Byzantine node failures is solvable [22, 21]. In particular, we prove a tight necessary and sufficient condition on the underlying com- munication graph for the existence of iterative approximate consensus algorithms under transient Byzantine link model. The condition answers (part of) the open problem stated in [16].Comment: arXiv admin note: text overlap with arXiv:1202.609

    Phytochemicals Induce Apoptosis By Modulation Of Nitric Oxide Signaling Pathway In Cervical Cancer Cells

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    OBJECTIVE: Nitric Oxide (NO) is produced by NO synthases (NOS) and is a key signaling molecule that regulates tumorigenesis, both aiding and alleviating it. Elevated NO levels are cytotoxic to cancer cells, making NOS an important target for cancer treatment. In the present study, the modulatory effects of the phytochemicals, quercetin, sulforaphane, genistein, and epigallocatechin-3-gallate on NO pathway and apoptosis were shown in HeLa cervical cancer cells. MATERIALS AND METHODS: Fluorescent microscopy and flow cytometry were used to assess apoptosis. A Griess assay was used to quantitatively measure NO, quantitative PCR array was used to assess the expression levels of genes involved in the NO signaling pathway, and immunocytochemistry was used to determine NOS protein expression. The functional association among the modulated genes was evaluated using network biology analysis. gene set enrichment, and KEGG pathway analysis. RESULTS: Treatment with the phytochemicals elevated NO levels in HeLa cells and modulated various genes involved in nitric oxide biosynthesis, superoxide metabolism. and oxidative stress, including NOS1, NOS2, NOS3, ALOX12, and SOD2, with a concomitant increase in NOS2 and NOS3 protein expression levels: also. the phytochemicals were found to induce apoptosis. CONCLUSIONS: These results suggest that the phytochemical-induced cell death is partially attributed to the activation of the NO pathway and upregulation of pro-oxidant ROS generators. Further experimental studies are required to explore this mechanistic association of NO signaling pathway activation and induction of apoptosis in other types of cancer

    Outpatient facility-based order variation in combined imaging.

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    OBJECTIVE: Combined computed tomography (CT) occurs when one anatomical area is simultaneously imaged both without and with contrast, or two overlapping anatomical areas are imaged concurrently. While this has been studied in a Traditional Medicare population, it has not been studied in other populations subject to prior authorization. This study explores between-facility variation in ordering and receiving orders to render combined CT in a mixed commercial and Medicare Advantage population. METHODS: Orders for CT abdomen (without/with contrast), CT thorax (without/with contrast), and concurrent CT brain and sinus authorized by a prior authorization company from 2013-2017, pertaining to patients with commercial or Medicare Advantage health plans from one national insurer, were extracted. Orders were issued and rendered by both hospitals and nonhospitals. The analysis was performed separately for each anatomical area in two ways: orders were grouped by ordering facility, and by designated rendering facility. For each facility, the ratio of combined to total orders was calculated, and analysis of variance was used to determine whether there were significant differences in this rate by year. The association between health plan type and combined imaging rates was assessed. RESULTS: Combined rates [ratio±standard deviation] for abdomen, thorax, and brain/sinus were 0.306±0.246, 0.089±0.142, and 0.002±0.01 respectively when the analysis was conducted according to ordering facility, and 0.311±0.178, 0.096±0.113, and 0.001±0.006 when the analysis was conducted according to designated rendering facility. Combined CT abdomen and CT thorax rates decreased monotonically from 2013 to 2017, decreases that were significant (P \u3c .01) regardless of whether orders were grouped by ordering or rendering facility. Combined CT abdomen and CT thorax rates significantly differed between orders pertaining to people with commercial and Medicare Advantage plans. DISCUSSION: Variability was greater when orders were grouped by ordering facility, rather than rendering facility. Health plan type may influence whether a patient receives combined CT

    Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review

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    COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated mortality rates, especially among older adults and people with existing morbidity. Current evidence suggests that the virus spreads primarily through respiratory droplets emitted by infected persons when breathing, coughing, sneezing, or speaking. These droplets can reach another person through their mouth, nose, or eyes, resulting in infection. The gold standard\u27\u27 for clinical diagnosis of SARS-CoV-2 is the laboratory-based nucleic acid amplification test, which includes the reverse transcription-polymerase chain reaction (RT-PCR) test on nasopharyngeal swab samples. The main concerns with this type of test are the relatively high cost, long processing time, and considerable false-positive or false-negative results. Alternative approaches have been suggested to detect the SARS-CoV-2 virus so that those infected and the people they have been in contact with can be quickly isolated to break the transmission chains and hopefully, control the pandemic. These alternative approaches include electrochemical biosensing and deep learning. In this review, we discuss the current state-of-the-art technology used in both fields for public health surveillance of SARS-CoV-2 and present a comparison of both methods in terms of cost, sampling, timing, accuracy, instrument complexity, global accessibility, feasibility, and adaptability to mutations. Finally, we discuss the issues and potential future research approaches for detecting the SARS-CoV-2 virus utilizing electrochemical biosensing and deep learning

    Quantum state-dependent diffusion and multiplicative noise: a microscopic approach

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    The state-dependent diffusion, which concerns the Brownian motion of a particle in inhomogeneous media has been described phenomenologically in a number of ways. Based on a system-reservoir nonlinear coupling model we present a microscopic approach to quantum state-dependent diffusion and multiplicative noise in terms of a quantum Markovian Langevin description and an associated Fokker-Planck equation in position space in the overdamped limit. We examine the thermodynamic consistency and explore the possibility of observing a quantum current, a generic quantum effect, as a consequence of this state-dependent diffusion similar to one proposed by B\"{u}ttiker [Z. Phys. B {\bf 68}, 161 (1987)] in a classical context several years ago.Comment: To be published in Journal of Statistical Physics 28 pages, 3 figure
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