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  1. Article ; Online: Reply: Early Recognition of Amyloid Cardiomyopathy: Potential and Need Before the Onset of Decompensated Heart Failure.

    Arora, Sameer / Pandey, Ambarish

    JACC. CardioOncology

    2021  Volume 3, Issue 2, Page(s) 338–339

    Language English
    Publishing date 2021-06-15
    Publishing country United States
    Document type Journal Article
    ISSN 2666-0873
    ISSN (online) 2666-0873
    DOI 10.1016/j.jaccao.2021.04.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Reply: Mitral Regurgitation in Heart Failure: Prognostic Significance and Impact on Evaluation of Left Ventricular Function.

    Arora, Sameer / Vavalle, John P

    JACC. Heart failure

    2021  Volume 9, Issue 5, Page(s) 405–406

    MeSH term(s) Heart Failure ; Humans ; Mitral Valve Insufficiency/diagnostic imaging ; Prognosis ; Stroke Volume ; Ventricular Function, Left
    Language English
    Publishing date 2021-04-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2705621-1
    ISSN 2213-1787 ; 2213-1779
    ISSN (online) 2213-1787
    ISSN 2213-1779
    DOI 10.1016/j.jchf.2021.02.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reply: Mitral Regurgitation in Acute Decompensated Heart Failure.

    Arora, Sameer / Vavalle, John P

    JACC. Heart failure

    2021  Volume 9, Issue 4, Page(s) 322

    MeSH term(s) Acute Disease ; Heart Failure/complications ; Humans ; Mitral Valve Insufficiency/complications ; Severity of Illness Index
    Language English
    Publishing date 2021-05-07
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2705621-1
    ISSN 2213-1787 ; 2213-1779
    ISSN (online) 2213-1787
    ISSN 2213-1779
    DOI 10.1016/j.jchf.2021.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Percutaneous structural and valvular heart disease interventions.

    Vavalle, John P / Arora, Sameer

    Cardiovascular diagnosis and therapy

    2020  Volume 10, Issue 1, Page(s) 1–2

    Language English
    Publishing date 2020-02-26
    Publishing country China (Republic : 1949- )
    Document type Editorial
    ZDB-ID 2685043-6
    ISSN 2223-3660 ; 2223-3652
    ISSN (online) 2223-3660
    ISSN 2223-3652
    DOI 10.21037/cdt.2020.01.01
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Reply: Underutilization of Fibrinolysis Despite Timely Arrival in STEMI: A Missed Opportunity!

    Bhatia, Kirtipal / Qamar, Arman / Hendrickson, Michael / Arora, Sameer / Gupta, Mohit D

    JACC. Asia

    2023  Volume 3, Issue 3, Page(s) 535

    Language English
    Publishing date 2023-06-20
    Publishing country United States
    Document type Journal Article
    ISSN 2772-3747
    ISSN (online) 2772-3747
    DOI 10.1016/j.jacasi.2023.05.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Modelling re-aeration of rivers using predictive models and developed ANN models under varying hydrodynamic conditions

    Arora, Sameer / Keshari, Ashok K.

    Hydrological Sciences Journal. 2022 Nov. 18, v. 67, no. 15 p.2294-2309

    2022  

    Abstract: Re-aeration serves as an integral part of water quality modelling, being utilized as an imperative constraint for estimating dissolved oxygen in rivers. The methods available to estimate oxygen regeneration at the air–water interface are broadly ... ...

    Abstract Re-aeration serves as an integral part of water quality modelling, being utilized as an imperative constraint for estimating dissolved oxygen in rivers. The methods available to estimate oxygen regeneration at the air–water interface are broadly applicable and scalable. The study introduced various artificial neural network (ANN) models designed to estimate the re-aeration coefficient under varying hydrodynamic conditions. Five-year datasets of Yamuna River exemplified reduced flow and heavy organic loadings were used for performance assessment of the models. The ANN models were developed using different combinations of input parameters. The available predictive re-aeration models are compared with the developed ANN models to identify the best-performing model. The ANN models containing water quality and hydraulic parameters outperformed the predictive re-aeration models. The study reveals that both hydraulic and water quality parameters are required to analyse the re-aeration coefficient of degraded rivers.
    Keywords data collection ; dissolved oxygen ; hydrodynamics ; hydrology ; liquid-air interface ; neural networks ; oxygen ; rivers ; water quality ; ANN ; re-aeration coefficient ; predictive models
    Language English
    Dates of publication 2022-1118
    Size p. 2294-2309.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ISSN 2150-3435
    DOI 10.1080/02626667.2022.2138402
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Dissolved oxygen modelling of the Yamuna River using different ANFIS models.

    Arora, Sameer / Keshari, Ashok K

    Water science and technology : a journal of the International Association on Water Pollution Research

    2021  Volume 84, Issue 10-11, Page(s) 3359–3371

    Abstract: Dissolved oxygen (DO) is one of the prime parameters for assessing the water quality of any stream. Thus, the accurate estimation of DO is necessary to evolve measures for maintaining the riverine ecosystem and designing appropriate water quality ... ...

    Abstract Dissolved oxygen (DO) is one of the prime parameters for assessing the water quality of any stream. Thus, the accurate estimation of DO is necessary to evolve measures for maintaining the riverine ecosystem and designing appropriate water quality improvement plans. Machine learning techniques are becoming valuable tools for the prediction and simulation of water quality parameters. A study has been performed in the Delhi stretch of the Yamuna River, India, and physiochemical parameters were examined for 5 years to simulate the DO using various machine learning techniques. Simulation and prediction competencies of adaptive neuro fuzzy inference system-grid partitioning (ANFIS-GP) and subtractive clustering (ANFIS-SC) were performed on high dimensional river characteristics. Four different models (M1, M2, M3 and M4) were developed using different combination of input parameters to predict DO. Results obtained from the models were evaluated using root mean square error and coefficient of determination (R
    MeSH term(s) Ecosystem ; Fuzzy Logic ; Oxygen/analysis ; Rivers ; Water Quality
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2021-12-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 764273-8
    ISSN 1996-9732 ; 0273-1223
    ISSN (online) 1996-9732
    ISSN 0273-1223
    DOI 10.2166/wst.2021.466
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Einzelsignatur: Show issues

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  8. Article ; Online: Pattern recognition of water quality variance in Yamuna River (India) using hierarchical agglomerative cluster and principal component analyses.

    Arora, Sameer / Keshari, Ashok K

    Environmental monitoring and assessment

    2021  Volume 193, Issue 8, Page(s) 494

    Abstract: The monitoring and assessment of a river system is a complex process and not restricted to urban areas only. The discharge of wastewater drains in the river increases the river system complexity further. The abstraction of freshwater at regular intervals ...

    Abstract The monitoring and assessment of a river system is a complex process and not restricted to urban areas only. The discharge of wastewater drains in the river increases the river system complexity further. The abstraction of freshwater at regular intervals and the discharge of the wastewater from various sources cause significant spatial and temporal variation in water quality. The multivariate statistical analysis is performed to identify water quality parameters' variability on the 5-year dataset from four monitoring sites. Hierarchical agglomerative cluster analysis (HACA) and principal component analysis (PCA) are applied to characterize the water quality parameters and identify the significant pollution sources. The clusters are formed considering the similarities between parameters, and eigenvalues are determined from the covariance of parameters. The box plots are designed to identify the spatial and temporal variations. The highest variability of the first principal component is 60.78% of the total variance at the second sampling location, the ITO bridge. The significant varifactors obtained from the PCA indicate the parameters responsible for the maximum variation in water quality. The study reveals the importance of multivariate statistical techniques in identifying a pattern of variability of parameters and developing management strategies to improve river water quality by identifying dominant parameters causing the maximum degradation in water quality.
    MeSH term(s) Cluster Analysis ; Environmental Monitoring ; India ; Principal Component Analysis ; Rivers ; Water Pollutants, Chemical/analysis ; Water Quality
    Chemical Substances Water Pollutants, Chemical
    Language English
    Publishing date 2021-07-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-021-09318-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 5186: Show issues

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  9. Article ; Online: Author's Reply: Expert Consensus of Data Elements for Collection for Enhanced Recovery After Cardiac Surgery.

    Hirji, Sameer / Salenger, Rawn / Arora, Rakesh C / Engelman, Daniel T

    World journal of surgery

    2022  Volume 46, Issue 11, Page(s) 2836–2837

    MeSH term(s) Cardiac Surgical Procedures ; Consensus ; Humans
    Language English
    Publishing date 2022-08-26
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 224043-9
    ISSN 1432-2323 ; 0364-2313
    ISSN (online) 1432-2323
    ISSN 0364-2313
    DOI 10.1007/s00268-022-06702-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1336: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Editorial commentary: Asymptomatic aortic stenosis, moderate aortic stenosis with systolic heart failure and bicuspid aortic valve stenosis- is TAVR ready for prime time?

    Arora, Sameer / Vavalle, John P

    Trends in cardiovascular medicine

    2020  Volume 31, Issue 7, Page(s) 446–447

    MeSH term(s) Aortic Valve Stenosis/diagnostic imaging ; Aortic Valve Stenosis/epidemiology ; Bicuspid Aortic Valve Disease ; Constriction, Pathologic ; Heart Failure, Systolic ; Humans ; Transcatheter Aortic Valve Replacement/adverse effects
    Language English
    Publishing date 2020-11-05
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1097434-9
    ISSN 1873-2615 ; 1050-1738
    ISSN (online) 1873-2615
    ISSN 1050-1738
    DOI 10.1016/j.tcm.2020.10.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3419: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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