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  1. Book: Ecology, conservation, and restoration of Chilika Lagoon, India

    Finlayson, C. Max / Rastogi, Gurdeep / Mishra, Deepak R. / Pattnaik, Ajit K.

    (Wetlands: ecology, conservation and management ; volume 6)

    2020  

    Author's details C. Max Finlayson, Gurdeep Rastogi, Deepak R. Mishra, Ajit K. Pattnaik, editors
    Series title Wetlands: ecology, conservation and management ; volume 6
    Wetlands ; ecology, conservation and management
    Wetlands ; ecology, conservation and management
    Collection Wetlands ; ecology, conservation and management
    Wetlands ; ecology, conservation and management
    Keywords Coasts ; Ecosystems ; Biodiversity ; Conservation biology ; Ecology  ; Remote sensing
    Subject code 551.457
    Language English
    Size xx, 438 Seiten, Illustrationen, Diagramme, Karten
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book
    HBZ-ID HT020374084
    ISBN 978-3-030-33423-9 ; 9783030334246 ; 3-030-33423-6 ; 3030334244
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    208/53 available for loan (reading room) Freihandmagazin (U1)

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  2. Article ; Online: Framework for Segmented threshold ℓ

    V, Vivekanand / Mishra, Deepak

    Neural networks : the official journal of the International Neural Network Society

    2023  Volume 162, Page(s) 425–442

    Abstract: Signal reconstruction from compressed sensed data need iterative methods since the sparse measurement matrix is analytically non invertible. The iterative thresholding and ... ...

    Abstract Signal reconstruction from compressed sensed data need iterative methods since the sparse measurement matrix is analytically non invertible. The iterative thresholding and ℓ
    Language English
    Publishing date 2023-03-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2023.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2365: Show issues Location:
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  3. Article ; Online: Severity of error in hierarchical datasets.

    Srivastava, Satwik / Mishra, Deepak

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 21903

    Abstract: Classification tasks today, especially for the medical domain, use datasets which are often hierarchical. These tasks are approached using methods that consider the class taxonomy for predicting a label. The classifiers are gradually becoming ... ...

    Abstract Classification tasks today, especially for the medical domain, use datasets which are often hierarchical. These tasks are approached using methods that consider the class taxonomy for predicting a label. The classifiers are gradually becoming increasingly accurate over the complex datasets. While increasing accuracy is a good way to judge a model, in high-risk applications, it needs to be ensured that even if the model makes a mistake, it does not bear a severe consequence. This work explores the concept of severity of an error and extends it to the medical domain. Further, it aims to point out that accuracy or AUROC alone are not sufficient metrics to decide the performance of a model in a setting where a misclassification will incur a severe cost. Various approaches to reduce severity for classification models are compared and evaluated in this work, which indicate that while many of them might be suited for a traditional image classification setting, there is a need for techniques tailored toward tasks and settings of medical domain to push artificial intelligence in healthcare to a deployable state.
    Language English
    Publishing date 2023-12-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-49185-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Neonatal giant mastauxe: a case report.

    Pant, Ved Prakash / Mishra, Deepak

    Annals of medicine and surgery (2012)

    2023  Volume 85, Issue 8, Page(s) 4134–4136

    Abstract: Giant mastauxe is an uncomplicated physiological enlargement of the breasts in newborns, characterized by a breast bud diameter greater than 3 cm. While most newborns have some degree of breast enlargement, giant mastauxe is rare, which may be ... ...

    Abstract Giant mastauxe is an uncomplicated physiological enlargement of the breasts in newborns, characterized by a breast bud diameter greater than 3 cm. While most newborns have some degree of breast enlargement, giant mastauxe is rare, which may be unnecessarily intervened upon.
    Case presentation: A 13-day-term male neonate presented with bilateral breast enlargement and milky nipple discharge, which worsened upon breast massage. The mother had an uneventful pregnancy, and neither the mother nor the baby had a history of drug intake. The examination revealed soft, non-tender, non-erythematous bilateral breast swellings measuring 3.6×3.8 cm on the right side and 3.2×3.4 cm on the left side. Ultrasonography confirmed their hypoechoic nature with minimum vascularization. The white blood cell count, C-reactive protein levels, and culture of nipple discharge yielded normal results. The baby was discharged, and upon follow-up after 2 weeks, it was observed that breast swellings had spontaneously reduced in size.
    Discussion: Neonatal breast enlargement can occur as a result of either the transplacental transfer of maternal estrogens or declining levels of estrogens toward the end of pregnancy, leading to hyperprolactinemia. However, the exact reasons behind the occurrence of giant mastauxe in some newborns remain incompletely understood. It may be due to increased sensitivity of the breast tissue to estrogens.
    Conclusion: Proper clinical examination, along with the use of ultrasonography and/or laboratory investigations if required, is essential to differentiate giant mastauxe from neonatal mastitis or breast abscess. Treatment primarily involves observation and providing reassurance to parents.
    Language English
    Publishing date 2023-07-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2745440-X
    ISSN 2049-0801
    ISSN 2049-0801
    DOI 10.1097/MS9.0000000000001036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Severity of error in hierarchical datasets

    Satwik Srivastava / Deepak Mishra

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 11

    Abstract: Abstract Classification tasks today, especially for the medical domain, use datasets which are often hierarchical. These tasks are approached using methods that consider the class taxonomy for predicting a label. The classifiers are gradually becoming ... ...

    Abstract Abstract Classification tasks today, especially for the medical domain, use datasets which are often hierarchical. These tasks are approached using methods that consider the class taxonomy for predicting a label. The classifiers are gradually becoming increasingly accurate over the complex datasets. While increasing accuracy is a good way to judge a model, in high-risk applications, it needs to be ensured that even if the model makes a mistake, it does not bear a severe consequence. This work explores the concept of severity of an error and extends it to the medical domain. Further, it aims to point out that accuracy or AUROC alone are not sufficient metrics to decide the performance of a model in a setting where a misclassification will incur a severe cost. Various approaches to reduce severity for classification models are compared and evaluated in this work, which indicate that while many of them might be suited for a traditional image classification setting, there is a need for techniques tailored toward tasks and settings of medical domain to push artificial intelligence in healthcare to a deployable state.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  6. Article ; Online: A Rare Case of Primary Cranial Intra-Diploic Hydatid Cyst.

    Das, Deepak / Kusta, Mahesh K / Mishra, Sanjib / Mishra, Sudhansu S

    Neurology India

    2023  Volume 71, Issue 3, Page(s) 622–623

    MeSH term(s) Humans ; Echinococcosis/diagnostic imaging ; Echinococcosis/surgery ; Albendazole
    Chemical Substances Albendazole (F4216019LN)
    Language English
    Publishing date 2023-06-16
    Publishing country India
    Document type Case Reports ; Journal Article
    ZDB-ID 415522-1
    ISSN 1998-4022 ; 0028-3886
    ISSN (online) 1998-4022
    ISSN 0028-3886
    DOI 10.4103/0028-3886.378640
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 698: Show issues Location:
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  7. Article ; Online: Optimizing graded-index few-mode fiber for space division multiplexing.

    Ojha, Komal / Mishra, Darpan / Appaiah, Kumar / Jain, Deepak

    Optics express

    2023  Volume 31, Issue 13, Page(s) 21784–21795

    Abstract: We investigate the graded-index few-mode fiber (GI-FMF) to realize a 4-LP-mode (i.e. ... ...

    Abstract We investigate the graded-index few-mode fiber (GI-FMF) to realize a 4-LP-mode (i.e. LP
    Language English
    Publishing date 2023-06-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.491742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Aortic, hepatic and renal artery aneurysms in autosomal dominant polycystic kidney disease.

    Kumar, Deepak / Mishra, Himanshu / Prasad, Umakant

    The National medical journal of India

    2023  Volume 35, Issue 6, Page(s) 372–373

    MeSH term(s) Humans ; Polycystic Kidney, Autosomal Dominant/complications ; Polycystic Kidney, Autosomal Dominant/diagnostic imaging ; Renal Artery/diagnostic imaging ; Aneurysm/diagnostic imaging ; Aneurysm/etiology ; Liver/diagnostic imaging
    Language English
    Publishing date 2023-06-07
    Publishing country India
    Document type Case Reports
    ZDB-ID 645116-0
    ISSN 0970-258X
    ISSN 0970-258X
    DOI 10.25259/NMJI_35_6_372
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2493: Show issues Location:
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  9. Article ; Online: The burden of diarrhea, etiologies, and risk factors in India from 1990 to 2019: evidence from the global burden of disease study.

    Behera, Deepak Kumar / Mishra, Sanghamitra

    BMC public health

    2022  Volume 22, Issue 1, Page(s) 92

    Abstract: Background: This study aims to measure the burden of diarrhea in India and analyze the trend of mortality associated with it for the past 30 years. We also intend to find the prevailing etiology and risk factors associated with diarrheal mortality in ... ...

    Abstract Background: This study aims to measure the burden of diarrhea in India and analyze the trend of mortality associated with it for the past 30 years. We also intend to find the prevailing etiology and risk factors associated with diarrheal mortality in India.
    Methods: The study has used the latest round of Global Burden of Disease (GBD) study-2019. GBD data is available across age groups and gender-wise over the period from 1990 to 2019. The study has identified 13 etiologies for the cause of diarrhea deaths and 20 risk factors to analyze the burden of disease.
    Results: Our study shows, childhood diarrhea has declined over the years significantly, yet contributes to a larger share of DALYs associated with the disease. Among all the death cases of Diarrhea, in 2019, the most prevalent disease-causing pathogen is found to be Campylobacter. But Adenovirus is the major contributor to childhood diarrheal deaths. Though the burden of diarrhea is declining over the period, still there is a need to progress the interventions to prevent and control diarrhea rapidly to avoid the huge number of deaths and disabilities experienced in India.
    Conclusions: Consumption of safe and clean water, proper sanitation facility in every household, required nutrition intake by mother and child, safe breastfeeding and stool disposal practices and careful case management, rotavirus vaccination are some of the effective interventions to be implemented all over the country. Further, evidence-based policies should be made and implemented to sustain diarrhea prevention programs.
    MeSH term(s) Child ; Diarrhea/etiology ; Global Burden of Disease ; Humans ; India/epidemiology ; Infant ; Risk Factors ; Sanitation
    Language English
    Publishing date 2022-01-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-022-12515-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: COVID-19-associated acute respiratory distress syndrome (C-ARDS): Inhaled nitroglycerin could be an efficient pulmonary vasodilator.

    Daunaria, Deepak K / Singh, Girish K / Agarwal, Ankit / Mishra, Priyanka

    Indian journal of anaesthesia

    2023  Volume 67, Issue 4, Page(s) 403–405

    Language English
    Publishing date 2023-04-10
    Publishing country India
    Document type Journal Article
    ZDB-ID 412570-8
    ISSN 0019-5049
    ISSN 0019-5049
    DOI 10.4103/ija.ija_635_22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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