140 research outputs found
Nonurological malignancies in children
No full textContext: Nonurological malignancies in children include a wide variety of tumors. These tumors include primary tumors of the liver, thyroid, lung, gastrointestinal tract (GIT), and adrenals; soft tissue sarcomas (STSs) like rhabdomyosarcoma (RMS) and non-RMS; and finally extragonadal germ cell tumors (GCT). Aims: This article aims at describing the current thinking in the management of these childhood solid tumors. This is critical in view of the recent advances in the elucidation of the molecular, genetic, and biologic behavior of these tumors and how these factors are getting integrated not only in the staging but also in developing a risk-based approach towards the management of these tumors. Materials and Methods: Reference was made to recently published literature from the leading pediatric cancer centers of the world to make a sense of things of the most current thinking in this rapidly expanding field. This will provide surgeons and physicians taking care of these children with a working knowledge in this somewhat challenging field. Conclusions: Treatment results vary from center to center depending on access to resources and following different management protocols. Results have improved for these tumors with the advent of newer chemotherapeutic agents, novel delivery methods of radiation therapy (RT), and improvement in surgical technique. Due to the limited number of patients presenting with these tumors, national and international collaboration of data is critical for all and beneficial to individual treatment centers. This has resulted in better results in the past and will definitely result in still better results in the future
Delayed onset of right congenital diaphragmatic hernia associated with Group B streptococcal sepsis in a neonate
No full textA full-term male neonate was initially managed for respiratory distress which developed few hours after birth. His initial chest radiograph was normal, and blood culture revealed Group B streptococcal (GBS) sepsis. He subsequently developed progressive right chest opacification that did not improve with medical management. Imaging done few days later revealed right-sided diaphragmatic hernia. The 12-day-old neonate underwent primary repair of the diaphragmatic defect and had an uneventful recovery. This case report intends to highlight this unique association between early onset GBS sepsis and delayed onset of the right congenital diaphragmatic hernia
Aktivitet: Author of Book Chapter on "Asset Performance Measurement"
No full textAuthor of Book Chapter on "Asset Performance Measurement" in Asset Management- The state of the art in Europe, published by Springer</p
Aktivitet: Co-author of Chapter 19 of the book "Maintenance of Complex Systems"
No full textCo-author of Chapter 19 of the book "Maintenance of Complex Systems" Edited by Prof DNP Murthy and Khairy Kobbacy, by Springers</p
Aktivitet: Co-author of chapter on "Maintenance productivity and performance measurements"
No full textCo-author of chapter on "Maintenance productivity and performance measurements" in the Handbook of Maintenance Management & Engineering, published by Springers</p
Esophageal lung resection and prosthesis placement in a preterm neonate
No full textThis report describes a successful outcome in a preterm baby with an esophageal atresia and tracheo-esophageal fistula, who initially underwent a primary esophageal repair; but a persistent nonexpanding lung on the side of surgery led to further investigations. A further diagnosis of an esophageal lung resulted in pneumonectomy and prophylactic placement of an intra-thoracic prosthesis to prevent post-pneumonectomy syndrome. To the best of our knowledge, this is the first report of a prophylactic placement of an intra-thoracic prosthesis in a neonate with the condition of esophageal atresia and tracheo-esophageal fistula and associated esophageal lung
Hindi Visual Genome 1.0
No full textData
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Hindi Visual Genome 1.0, a multimodal dataset consisting of text and images suitable for English-to-Hindi multimodal machine translation task and multimodal research. We have selected short English segments (captions) from Visual Genome along with associated images and automatically translated them to Hindi with manual post-editing, taking the associated images into account. The training set contains 29K segments. Further 1K and 1.6K segments are provided in a development and test sets, respectively, which follow the same (random) sampling from the original Hindi Visual Genome.
Additionally, a challenge test set of 1400 segments will be released for the WAT2019 multi-modal task. This challenge test set was created by searching for (particularly) ambiguous English words based on the embedding similarity and manually selecting those where the image helps to resolve the ambiguity.
Dataset Formats
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The multimodal dataset contains both text and images.
The text parts of the dataset (train and test sets) are in simple tab-delimited plain text files.
All the text files have seven columns as follows:
Column1 - image_id
Column2 - X
Column3 - Y
Column4 - Width
Column5 - Height
Column6 - English Text
Column7 - Hindi Text
The image part contains the full images with the corresponding image_id as the file name. The X, Y, Width and Height columns indicate the rectangular region in the image described by the caption.
Data Statistics
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The statistics of the current release is given below.
Parallel Corpus Statistics
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Dataset Segments English Words Hindi Words
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Train 28932 143178 136722
Dev 998 4922 4695
Test 1595 7852 7535
Challenge Test 1400 8185 8665 (Released separately)
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Total 32925 164137 157617
The word counts are approximate, prior to tokenization.
Citation
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If you use this corpus, please cite the following paper:
@article{hindi-visual-genome:2019,
title={{Hindi Visual Genome: A Dataset for Multimodal English-to-Hindi Machine Translation}},
author={Parida, Shantipriya and Bojar, Ond{\v{r}}ej and Dash, Satya Ranjan},
journal={Computaci{\'o}n y Sistemas},
note={In print. Presented at CICLing 2019, La Rochelle, France},
year={2019},
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