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  1. Book ; Online: Leniency Policies in the Prosecution of Economic Crimes and Corruption : Consensual Justice and Search for Truth in Brazilian and German Law

    Schertel Mendes, Francisco

    2021  

    Keywords Procedural Law ; Korruption ; Strafprozess ; Anti-Trust-Law ; Kartellrecht ; Criminal Procedure
    Size 1 electronic resource (345 pages)
    Publisher Nomos Verlagsgesellschaft mbH and Company KG
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021029297
    ISBN 9783748922599 ; 3748922590
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: The effect of the attitude towards risk/ambiguity on examination grades: cross-sectional study in a Portuguese medical school.

    Leite-Mendes, Filipe / Delgado, Luis / Ferreira, Amelia / Severo, Milton

    Advances in health sciences education : theory and practice

    2024  

    Abstract: Given the high prevalence of multiple-choice examinations with formula scoring in medical training, several studies have tried to identify other factors in addition to the degree of knowledge of students which influence their response patterns. This ... ...

    Abstract Given the high prevalence of multiple-choice examinations with formula scoring in medical training, several studies have tried to identify other factors in addition to the degree of knowledge of students which influence their response patterns. This study aims to measure the effect of students' attitude towards risk and ambiguity on their number of correct, wrong, and blank answers. In October 2018, 233 3rd year medical students from the Faculty of Medicine of the University of Porto, in Porto, Portugal, completed a questionnaire which assessed the student's attitudes towards risk and ambiguity, and aversion to ambiguity in medicine. Simple and multiple regression models and the respective regression coefficients were used to measure the association between the students' attitudes, and their answers in two examinations that they had taken in June 2018. Having an intermediate level of ambiguity aversion in medicine (as opposed to a very high or low level) was associated with a significant increase in the number of correct answers and decrease in the number of blank answers in the first examination. In the second examination, high levels of ambiguity aversion in medicine were associated with a decrease in the number of wrong answers. Attitude towards risk, tolerance for ambiguity, and gender did not show significant association with the number of correct, wrong, and blank answers for either examination. Students' ambiguity aversion in medicine is correlated with their performance in multiple-choice examinations with negative marking. Therefore, it is suggested the planning and implementation of counselling sessions with medical students regarding the possible impact of ambiguity aversion on their performance in multiple-choice questions with negative marking.
    Language English
    Publishing date 2024-01-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1352832-4
    ISSN 1573-1677 ; 1382-4996
    ISSN (online) 1573-1677
    ISSN 1382-4996
    DOI 10.1007/s10459-023-10305-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4671: Show issues Location:
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  3. Book ; Online: The Logical Essence of Compiling With Continuations

    Santo, José Espírito / Mendes, Filipa

    2023  

    Abstract: The essence of compiling with continuations is that conversion to continuation-passing style (CPS) is equivalent to a source language transformation converting to administrative normal form (ANF). Taking as source language Moggi's computational lambda- ... ...

    Abstract The essence of compiling with continuations is that conversion to continuation-passing style (CPS) is equivalent to a source language transformation converting to administrative normal form (ANF). Taking as source language Moggi's computational lambda-calculus (lbc), we define an alternative to the CPS-translation with target in the sequent calculus LJQ, named value-filling style (VFS) translation, and making use of the ability of the sequent calculus to represent contexts formally. The VFS-translation requires no type translation: indeed, double negations are introduced only when encoding the VFS target language in the CPS target language. This optional encoding, when composed with the VFS-translation reconstructs the original CPS-translation. Going back to direct style, the "essence" of the VFS-translation is that it reveals a new sublanguage of ANF, the value-enclosed style (VES), next to another one, the continuation-enclosing style (CES): such an alternative is due to a dilemma in the syntax of lbc, concerning how to expand the application constructor. In the typed scenario, VES and CES correspond to an alternative between two proof systems for call-by-value, LJQ and natural deduction with generalized applications, confirming proof theory as a foundation for intermediate representations.
    Keywords Computer Science - Logic in Computer Science
    Subject code 410
    Publishing date 2023-04-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Cancer 3D Models for Metallodrug Preclinical Testing.

    Engrácia, Diogo M / Pinto, Catarina I G / Mendes, Filipa

    International journal of molecular sciences

    2023  Volume 24, Issue 15

    Abstract: Despite being standard tools in research, the application of cellular and animal models in drug development is hindered by several limitations, such as limited translational significance, animal ethics, and inter-species physiological differences. In ... ...

    Abstract Despite being standard tools in research, the application of cellular and animal models in drug development is hindered by several limitations, such as limited translational significance, animal ethics, and inter-species physiological differences. In this regard, 3D cellular models can be presented as a step forward in biomedical research, allowing for mimicking tissue complexity more accurately than traditional 2D models, while also contributing to reducing the use of animal models. In cancer research, 3D models have the potential to replicate the tumor microenvironment, which is a key modulator of cancer cell behavior and drug response. These features make cancer 3D models prime tools for the preclinical study of anti-tumoral drugs, especially considering that there is still a need to develop effective anti-cancer drugs with high selectivity, minimal toxicity, and reduced side effects. Metallodrugs, especially transition-metal-based complexes, have been extensively studied for their therapeutic potential in cancer therapy due to their distinctive properties; however, despite the benefits of 3D models, their application in metallodrug testing is currently limited. Thus, this article reviews some of the most common types of 3D models in cancer research, as well as the application of 3D models in metallodrug preclinical studies.
    MeSH term(s) Animals ; Neoplasms/drug therapy ; Neoplasms/pathology ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Tumor Microenvironment ; Models, Animal ; Drug Development
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2023-07-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms241511915
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Immunotherapy in Head and Neck Cancer When, How, and Why?

    Pereira, Daniela / Martins, Diana / Mendes, Fernando

    Biomedicines

    2022  Volume 10, Issue 9

    Abstract: Head and neck cancer (HNC) is one of the most common cancers worldwide. Alcohol and tobacco consumption, besides viral infections, are the main risk factors associated with this cancer. When diagnosed in advanced stages, HNC patients present a higher ... ...

    Abstract Head and neck cancer (HNC) is one of the most common cancers worldwide. Alcohol and tobacco consumption, besides viral infections, are the main risk factors associated with this cancer. When diagnosed in advanced stages, HNC patients present a higher probability of recurrence or metastasising. The complexity of therapeutic options and post-treatment surveillance is associated with poor prognosis and reduced overall survival (OS). This review aims to explore immunotherapy (immune checkpoint inhibitors (ICI), therapeutic vaccines, and oncolytic viruses) in HNC patients' treatment, and to explore when, how, and why patients can benefit from it. The monotherapy with ICI or in combination with chemotherapy (QT) shows the most promising results. Compared to standard therapy, ICI are able to increase OS and patients' quality of life. QT in combination with ICI demonstrates significant response rates and considerable long-term clinical benefits. However, the toxicity associated with this approach is still a hurdle to overcome. In parallel, the therapeutic vaccines directed to the Human Papilloma Virus are also efficient in increasing the antitumour response, inducing cellular and humoral immunity. Although these results demonstrate clinical benefits compared to standard therapy, it is also important to unravel the resistance mechanisms in order to predict the clinical benefit of immunotherapy.
    Language English
    Publishing date 2022-09-01
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines10092151
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Therapeutic Futility in Nursing: A Focus Group.

    Vieira, João V / Deodato, Sérgio / Mendes, Felismina

    SAGE open nursing

    2022  Volume 8, Page(s) 23779608221134768

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2022-10-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2865437-7
    ISSN 2377-9608 ; 2377-9608
    ISSN (online) 2377-9608
    ISSN 2377-9608
    DOI 10.1177/23779608221134768
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Radioactive hot-spot localisation and identification using deep learning.

    Mendes, Filipe / Barros, Miguel / Vale, Alberto / Gonçalves, Bruno

    Journal of radiological protection : official journal of the Society for Radiological Protection

    2022  Volume 42, Issue 1

    Abstract: The detection of radioactive hot-spots and the identification of the radionuclides present have been a challenge for the security sector, especially in situations involving chemical, biological, radiological, nuclear and explosive threats, as well as ... ...

    Abstract The detection of radioactive hot-spots and the identification of the radionuclides present have been a challenge for the security sector, especially in situations involving chemical, biological, radiological, nuclear and explosive threats, as well as naturally occurring radioactive materials. This work proposes a solution based on Machine Learning techniques, with a focus on artificial neural networks (NNs), in order to localise, quantify and identify radioactive sources. Firstly, the created RHLnet model uses observations of radiological intensity counts and corresponding localisations to estimate the number, location and activity of unknown radioactive sources present in a given scenario. Then, another model (RHIdnet) gets the gamma spectrum of the sources to perform the identification of the corresponding radionuclides. For this, a training data set composed of simulated data is used during the training process, and so, using algorithms with the models already trained, fast and accurate predictions are achieved, ensuring the reliability of such a NN-based approach. The proposed solution is tested in simulated and real scenarios, with multiple sources, providing a low number of limitations, related to possible false negatives and false positives. Besides, the results have shown that the algorithm is scalable for very large regions, as well as for very small scenarios. Single and multiple isotope identification on each sample is explored, highlighting the benefits as well as possible improvements. Thus, NNs have demonstrated the capability of being an emerging tool with the potential to make a difference in the nuclear field, by helping in the development of novel techniques and new solutions in order to safeguard human lives.
    MeSH term(s) Algorithms ; Deep Learning ; Humans ; Machine Learning ; Neural Networks, Computer ; Reproducibility of Results
    Language English
    Publishing date 2022-01-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 639411-5
    ISSN 1361-6498 ; 0952-4746
    ISSN (online) 1361-6498
    ISSN 0952-4746
    DOI 10.1088/1361-6498/ac1a5c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1886: Show issues Location:
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  9. Article ; Online: The Impact Of Exercise On Inflammation, Oxidative Stress And Remodelling In Cardiac Muscle.

    Mendes, Fernando / Martins, Diana

    Arquivos brasileiros de cardiologia

    2020  Volume 114, Issue 1, Page(s) 106–108

    MeSH term(s) Animals ; Collagen ; Inflammation ; Matrix Metalloproteinase 2 ; Mice ; Mice, Knockout ; Myocardium ; Oxidative Stress
    Chemical Substances Collagen (9007-34-5) ; Matrix Metalloproteinase 2 (EC 3.4.24.24)
    Language Portuguese
    Publishing date 2020-02-12
    Publishing country Brazil
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 730261-7
    ISSN 1678-4170 ; 0066-782X
    ISSN (online) 1678-4170
    ISSN 0066-782X
    DOI 10.36660/abc.20190735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 548: Show issues Location:
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  10. Article: Cost-effectiveness analysis of grass pollen specific immunotherapy in children with allergic rhinitis compared to the standard of care symptomatic treatment in Portugal.

    Farraia, M / Paciência, I / Castro Mendes, F / Cavaleiro Rufo, J / Delgado, L / Moreira, A

    European annals of allergy and clinical immunology

    2021  Volume 55, Issue 5, Page(s) 212–228

    Abstract: Summary: Background. ...

    Abstract Summary: Background.
    MeSH term(s) Child ; Humans ; Allergens ; Cost-Effectiveness Analysis ; Portugal ; Standard of Care ; Pollen ; Rhinitis, Allergic/therapy ; Desensitization, Immunologic/methods ; Poaceae
    Chemical Substances Allergens
    Language English
    Publishing date 2021-12-17
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2105540-3
    ISSN 1764-1489 ; 0397-9148
    ISSN 1764-1489 ; 0397-9148
    DOI 10.23822/EurAnnACI.1764-1489.240
    Database MEDical Literature Analysis and Retrieval System OnLINE

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