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  1. Article ; Online: Thermodynamic bound on quantum state discrimination.

    Polo-Gómez, José

    Physical review. E

    2024  Volume 109, Issue 1-1, Page(s) 14119

    Abstract: We show that the second law of thermodynamics poses a restriction on how well we can discriminate between quantum states. By examining an ideal gas with a quantum internal degree of freedom undergoing a cycle based on a proposal by Peres, we establish a ... ...

    Abstract We show that the second law of thermodynamics poses a restriction on how well we can discriminate between quantum states. By examining an ideal gas with a quantum internal degree of freedom undergoing a cycle based on a proposal by Peres, we establish a nontrivial upper bound on the attainable accuracy of quantum state discrimination. This thermodynamic bound, which relies solely on the linearity of quantum mechanics and the constraint of no work extraction, matches Holevo's bound on accessible information, but is looser than the Holevo-Helstrom bound. The result gives more evidence on the disagreement between thermodynamic entropy and von Neumann entropy and places potential limitations on proposals beyond quantum mechanics.
    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.109.014119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A Defiant Hope.

    Gomez, Jason

    American journal of kidney diseases : the official journal of the National Kidney Foundation

    2021  Volume 78, Issue 6, Page(s) A9

    Language English
    Publishing date 2021-07-26
    Publishing country United States
    Document type Editorial
    ZDB-ID 604539-x
    ISSN 1523-6838 ; 0272-6386
    ISSN (online) 1523-6838
    ISSN 0272-6386
    DOI 10.1053/j.ajkd.2021.06.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1669: 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)
    Zs.MO 468: Show issues

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  3. Article ; Online: Fresh Parent's Own Milk for Preterm Infants: Barriers and Future Opportunities.

    Briere, Carrie-Ellen / Gomez, Jessica

    Nutrients

    2024  Volume 16, Issue 3

    Abstract: While direct at-the-breast feeding is biologically optimal, Neonatal Intensive Care Unit (NICU) admission due to infant immaturity or illness often necessitates the expression and storage of parent's milk. The provision of freshly expressed (never stored) ...

    Abstract While direct at-the-breast feeding is biologically optimal, Neonatal Intensive Care Unit (NICU) admission due to infant immaturity or illness often necessitates the expression and storage of parent's milk. The provision of freshly expressed (never stored) parent's own milk to preterm infants is not widely prioritized, and this article provides an exploration of NICU practices and their implications for feeding premature or ill infants with parent's own milk. In this article, we discuss the potential biological benefits of fresh parent's own milk, highlighting its dynamic components and the changes incurred during storage. Research suggests that fresh milk may offer health advantages over stored milk. The authors advocate for further research, emphasizing the need for standardized definitions. Research is needed on the biological impact of fresh milk, both short- and long-term, as well as defining and understanding healthcare economics when using fresh milk.
    MeSH term(s) Infant ; Female ; Infant, Newborn ; Humans ; Infant, Premature ; Milk, Human ; Breast Feeding ; Intensive Care Units, Neonatal ; Parents
    Language English
    Publishing date 2024-01-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2518386-2
    ISSN 2072-6643 ; 2072-6643
    ISSN (online) 2072-6643
    ISSN 2072-6643
    DOI 10.3390/nu16030362
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A tale of two patients.

    Gomez, Jason

    Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

    2021  Volume 28, Issue 9, Page(s) 1093–1094

    Language English
    Publishing date 2021-08-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1329813-6
    ISSN 1553-2712 ; 1069-6563
    ISSN (online) 1553-2712
    ISSN 1069-6563
    DOI 10.1111/acem.14350
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4479: 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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  5. Article ; Online: Run for Your Life.

    Gomez, Jason

    Journal of general internal medicine

    2021  Volume 36, Issue 9, Page(s) 2851–2852

    Language English
    Publishing date 2021-05-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639008-0
    ISSN 1525-1497 ; 0884-8734
    ISSN (online) 1525-1497
    ISSN 0884-8734
    DOI 10.1007/s11606-021-06866-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2205: 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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  6. Book: Schluß mit Inkontinenz!

    Gomez, Joan

    Vorsorge, Ursache und Symptome, Training, medizinische Möglichkeiten ; der Ratgeber für die ganze Familie

    2006  

    Title translation Coping with incontinence
    Author's details Joan Gomez. Aus dem Engl. von Ursula Harzer
    Keywords Inkontinenz
    Language German
    Size 190 S. : Ill., 21 cm
    Edition 1. Aufl.
    Publisher Oesch
    Publishing place Zürich
    Publishing country Switzerland
    Document type Book
    Note Aus dem Engl. übers.
    HBZ-ID HT015336019
    ISBN 3-0350-5025-2 ; 978-3-0350-5025-7
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2005 A 7946 order for loan Magazin

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  7. Article ; Online: SPECT-MPI in evaluation of liver transplant candidates: Is the evidence mounting?

    Gomez, Javier

    Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

    2020  Volume 28, Issue 6, Page(s) 2892–2894

    MeSH term(s) Humans ; Liver Transplantation ; Myocardial Perfusion Imaging ; Tomography, Emission-Computed, Single-Photon
    Language English
    Publishing date 2020-06-21
    Publishing country United States
    Document type Editorial
    ZDB-ID 1212505-2
    ISSN 1532-6551 ; 1071-3581
    ISSN (online) 1532-6551
    ISSN 1071-3581
    DOI 10.1007/s12350-020-02240-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4121: 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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  8. Article ; Online: The odyssey of pediatric surgery research. Can an international perspective provide new solutions?

    Jiménez Gómez, J / Núñez García, B / Álvarez García, N

    Cirugia pediatrica : organo oficial de la Sociedad Espanola de Cirugia Pediatrica

    2023  Volume 36, Issue 1, Page(s) 3–4

    Title translation La odisea de la investigación en cirugía pediátrica. ¿Puede una perspectiva internacional aportar nuevas soluciones?
    MeSH term(s) Child ; Humans ; Specialties, Surgical ; Internationality
    Language Spanish
    Publishing date 2023-01-01
    Publishing country Spain
    Document type Editorial
    ZDB-ID 1214833-7
    ISSN 2445-2807 ; 0214-1221
    ISSN (online) 2445-2807
    ISSN 0214-1221
    DOI 10.54847/cp.2023.01.12
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4152: 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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  9. Book ; Online: Breast Cancer Diagnosis Using Machine Learning Techniques

    Zuluaga-Gomez, Juan

    2023  

    Abstract: Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast cancer screening; ... ...

    Abstract Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast cancer screening; nevertheless, many countries still lack access to mammograms due to economic, social, and cultural issues. Latest advances in computational tools, infrared cameras and devices for bio-impedance quantification, have given a chance to emerge other reference techniques like thermography, infrared thermography, electrical impedance tomography and biomarkers found in blood tests, therefore being faster, reliable and cheaper than other methods. In the last two decades, the techniques mentioned above have been considered as parallel and extended approaches for breast cancer diagnosis, as well many authors concluded that false positives and false negatives rates are significantly reduced. Moreover, when a screening method works together with a computational technique, it generates a "computer-aided diagnosis" system. The present work aims to review the last breakthroughs about the three techniques mentioned earlier, suggested machine learning techniques to breast cancer diagnosis, thus, describing the benefits of some methods in relation with other ones, such as, logistic regression, decision trees, random forest, deep and convolutional neural networks. With this, we studied several hyperparameters optimization approaches with parzen tree optimizers to improve the performance of baseline models. An exploratory data analysis for each database and a benchmark of convolutional neural networks for the database of thermal images are presented. The benchmark process, reviews image classification techniques with convolutional neural networks, like, Resnet50, NasNetmobile, InceptionResnet and Xception.

    Comment: This is a Thesis (MSc Degree) submitted in 2019. arXiv admin note: text overlap with arXiv:2202.03737
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Electrical Engineering and Systems Science - Image and Video Processing
    Subject code 006
    Publishing date 2023-05-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Detection and diagnosis of the early caries lesion.

    Gomez, J

    BMC oral health

    2015  Volume 15 Suppl 1, Page(s) S3

    Abstract: The purpose of this manuscript is to discuss the current available methods to detect early lesions amenable to prevention. The current evidenced-based caries understanding, based on biological concepts, involves new approaches in caries detection, ... ...

    Abstract The purpose of this manuscript is to discuss the current available methods to detect early lesions amenable to prevention. The current evidenced-based caries understanding, based on biological concepts, involves new approaches in caries detection, assessment, and management that should include non-cavitated lesions. Even though the importance of management of non-cavitated (NC) lesions has been recognized since the early 1900 s, dental caries has been traditionally detected at the cavitation stage, and its management has focused strongly on operative treatment. Methods of detection of early carious lesions have received significant research attention over the last 20 years. The most common method of caries detection is visual-tactile. Other non-invasive techniques for detection of early caries have been developed and investigated such as Quantitative Light-induced Fluorescence (QLF), DIAGNOdent (DD), Fibre-optic Transillumination (FOTI) and Electrical Conductance (EC). Based on previous systematic reviews, the diagnosis of NCCLs might be more accurately achieved in combination of the visual method and the use of other methods such as electrical methods and QLF for monitoring purposes.
    MeSH term(s) Dental Caries/diagnosis ; Dental Caries/prevention & control ; Dental Caries Activity Tests/instrumentation ; Dental Caries Activity Tests/methods ; Early Diagnosis ; Humans
    Language English
    Publishing date 2015
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2091511-1
    ISSN 1472-6831 ; 1472-6831
    ISSN (online) 1472-6831
    ISSN 1472-6831
    DOI 10.1186/1472-6831-15-S1-S3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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