897 research outputs found

    Complete genome sequences of three novel Pseudomonas fluorescens SBW25 bacteriophages, Noxifer, Phabio, and Skulduggery

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    Three novel bacteriophages, two of which are jumbophages, were isolated from compost in Auckland, New Zealand. Noxifer, Phabio, and Skulduggery are double-stranded DNA (dsDNA) phages with genome sizes of 278,136 bp (Noxifer), 309,157 bp (Phabio), and 62,978 bp (Skulduggery)

    Intracranial Inflammatory Myofibroblastic Tumor: A Review of 49 cases

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    Inflammatory Myofibroblastic Tumor (IMT) is a rare pathologic entity that was first described in 1973. This lesion is most commonly found in the lungs, but other organs’ involvement has also been reported. Intracranial location of Inflammatory Myofibroblastic Tumor is rare, and the first case was reported in 1980. An intriguing fact about the intracranial IMT is its resemblance with meningioma on clinical presentation and neuroimaging. We came across a case of intracranial Inflammatory Myofibroblastic Tumor (IIMT) in a 27-year-old male who presented with recurrent episodes of seizures and was diagnosed as meningioma on neuroimaging. The lesion did not subside with medical management and kept on progressing in size. The patient had to undergo surgery, and diagnosis of Inflammatory Myofibroblastic Tumor was ascertained on histopathology. This ‘surprise’ diagnosis prompted us to review the literature on all cases of IIMTs reported to date to better understand the entity and its implications. In this review article, we present our observations regarding various studied parameters, including patient profile, clinical presentation, site of involvement, focality of the lesion, special associations, and lines of management of the 49 published cases of IIMTs

    Parasitic Protozoa found in the skin, gills, and intestines of Patin Catfish (Pangasius hypophthalmus) and Common Carp (Cyprinus carpio)

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    The parasitic protozoa found in "Ikan Patin" or a species of Catfish (Pangasius hypophthalmus) and "Ikan Mas" or Common Carp (Cyprinus carpio) are Trichodina sp., Ichthyophthirius sp. and Myxobolus sp. These protozoa have the potential to cause death in fish and economic losses to fish farmers and sellers. This study was conducted to determine the presence of parasitic protozoa on the skin, gills, and intestines of Catfish and Carp. Samples were taken from the Bursa Ikan Hias Laladon or Laladon Ornamental Fish Market in Bogor, Indonesia. Each species was sampled for as many as 30 fish. The skin, gills, and intestines were examined using the native examination method and Lugol staining. Parasitic protozoa were identified based on their morphology, namely size, and shape. The types of parasitic protozoa found on the skin, gills, and intestines of Catfish and goldfish were Trichodina sp., Ichthyophthirius sp., and Myxobolus sp. The parasites were found in skin organs in as many as 29 samples (96.7%) from Catfish and 30 samples (100%) from Carp. The Genera of Ichthyophthirius sp. were found in the gills of 2 samples (6.7%) in Catfish and 1 sample (3.3%) from positive Carp. Myxobolus sp. was found in the intestines of 11 samples (36.7%) from Catfish and two samples (6.7%) from Carp. The species of Trichodina sp. found based on morphology was Trichodina giurusi.©2021 JNSMR UIN Walisongo. All rights reserved

    Parasitic Protozoa found in the skin, gills, and intestines of Patin Catfish (Pangasius hypophthalmus) and Common Carp (Cyprinus carpio)

    Get PDF
    The parasitic protozoa found in "Ikan Patin" or a species of Catfish (Pangasius hypophthalmus) and "Ikan Mas" or Common Carp (Cyprinus carpio) are Trichodina sp., Ichthyophthirius sp. and Myxobolus sp. These protozoa have the potential to cause death in fish and economic losses to fish farmers and sellers. This study was conducted to determine the presence of parasitic protozoa on the skin, gills, and intestines of Catfish and Carp. Samples were taken from the Bursa Ikan Hias Laladon or Laladon Ornamental Fish Market in Bogor, Indonesia. Each species was sampled for as many as 30 fish. The skin, gills, and intestines were examined using the native examination method and Lugol staining. Parasitic protozoa were identified based on their morphology, namely size, and shape. The types of parasitic protozoa found on the skin, gills, and intestines of Catfish and goldfish were Trichodina sp., Ichthyophthirius sp., and Myxobolus sp. The parasites were found in skin organs in as many as 29 samples (96.7%) from Catfish and 30 samples (100%) from Carp. The Genera of Ichthyophthirius sp. were found in the gills of 2 samples (6.7%) in Catfish and 1 sample (3.3%) from positive Carp. Myxobolus sp. was found in the intestines of 11 samples (36.7%) from Catfish and two samples (6.7%) from Carp. The species of Trichodina sp. found based on morphology was Trichodina giurusi.©2021 JNSMR UIN Walisongo. All rights reserved

    No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models

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    For decades, context-dependent phonemes have been the dominant sub-word unit for conventional acoustic modeling systems. This status quo has begun to be challenged recently by end-to-end models which seek to combine acoustic, pronunciation, and language model components into a single neural network. Such systems, which typically predict graphemes or words, simplify the recognition process since they remove the need for a separate expert-curated pronunciation lexicon to map from phoneme-based units to words. However, there has been little previous work comparing phoneme-based versus grapheme-based sub-word units in the end-to-end modeling framework, to determine whether the gains from such approaches are primarily due to the new probabilistic model, or from the joint learning of the various components with grapheme-based units. In this work, we conduct detailed experiments which are aimed at quantifying the value of phoneme-based pronunciation lexica in the context of end-to-end models. We examine phoneme-based end-to-end models, which are contrasted against grapheme-based ones on a large vocabulary English Voice-search task, where we find that graphemes do indeed outperform phonemes. We also compare grapheme and phoneme-based approaches on a multi-dialect English task, which once again confirm the superiority of graphemes, greatly simplifying the system for recognizing multiple dialects

    A RETROSPECTIVE STUDY OF CLINICAL PROFILE AND DRUG PRESCRIBING PATTERN IN OSTEOPOROSIS IN A TERTIARY CARE HOSPITAL

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    Objective: To study the clinical profile and prescription pattern of drugs in the treatment of osteoporosis in a tertiary care centre in Karnataka, India.Methods: This was a retrospective study carried out in a multi-speciality tertiary care hospital in Karnataka. Information was collected from case record forms of 100 patients of osteoporosis during a 12 mo tenure regarding various signs and symptoms they presented with and treatment provided.Results: Majority of the subjects were females (90%). Low back ache was the most common presenting symptom. There was an increase in mean calcium (8.84±8.32 mg/dL) and phosphorus levels (2.45±1.83 mg/dL) as compared to baseline at the follow up visit. Vitamin D and calcium supplementation were the most commonly prescribed medications followed by analgesics, calcitonin and bisphosphonates. A total of 77 adverse reactions were reported, gastritis being the commonest one.Conclusion: Vitamin D and Calcium supplements were more commonly prescribed than specific anti osteoporotic medications.Â

    N-(5-Bromo­pyridin-2-yl)acetamide

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    The asymmetric unit of the title compound, C7H7BrN2O, contains two mol­ecules, in one of which the methyl H atoms are disorderd over two orientations in a 0.57 (3):0.43 (3) ratio. The dihedral angles between the pyridine rings and the acetamide groups are 7.27 (11) and 8.46 (11)°. In the crystal, mol­ecules are linked by N—H⋯O and C—H⋯O hydrogen bonds generating bifurcated R 2 1(5) ring motifs, which in turn lead to [110] chains

    Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR

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    We propose a method of segmenting long-form speech by separating semantically complete sentences within the utterance. This prevents the ASR decoder from needlessly processing faraway context while also preventing it from missing relevant context within the current sentence. Semantically complete sentence boundaries are typically demarcated by punctuation in written text; but unfortunately, spoken real-world utterances rarely contain punctuation. We address this limitation by distilling punctuation knowledge from a bidirectional teacher language model (LM) trained on written, punctuated text. We compare our segmenter, which is distilled from the LM teacher, against a segmenter distilled from a acoustic-pause-based teacher used in other works, on a streaming ASR pipeline. The pipeline with our segmenter achieves a 3.2% relative WER gain along with a 60 ms median end-of-segment latency reduction on a YouTube captioning task.Comment: Interspeech 2023. First 3 authors contributed equall
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