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  1. Book ; Online: Open Scientific Data : Why Choosing and Reusing the RIGHT DATA Matters

    Lipton, Vera J.

    2020  

    Keywords Information retrieval
    Size 1 electronic resource (230 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021044976
    ISBN 9781838809867 ; 1838809864
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: ADFM 2023: Redefining the Value of Family Medicine for our Communities.

    Vera, Jessie

    Annals of family medicine

    2023  Volume 21, Issue 4, Page(s) 382–383

    Language English
    Publishing date 2023-07-24
    Publishing country United States
    Document type Journal Article ; News
    ZDB-ID 2171425-3
    ISSN 1544-1717 ; 1544-1709
    ISSN (online) 1544-1717
    ISSN 1544-1709
    DOI 10.1370/afm.3023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Preserving Priorities Amidst a Global Pandemic: ADFM'S Commitment to Health Equity.

    Vera, Jessie

    Annals of family medicine

    2021  Volume 19, Issue 3, Page(s) 279–280

    MeSH term(s) Global Health ; Health Equity ; Health Priorities ; Humans ; Pandemics/prevention & control
    Language English
    Publishing date 2021-05-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2171425-3
    ISSN 1544-1717 ; 1544-1709
    ISSN (online) 1544-1717
    ISSN 1544-1709
    DOI 10.1370/afm.2701
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Progressive supranuclear palsy, a case report.

    Ortiz, A / Troya, F / de Vera, J / Vázquez, E

    Archivos de la Sociedad Espanola de Oftalmologia

    2024  

    Abstract: Progressive Supranuclear Palsy (PSP), also known as Steele-Richardson-Olszewski syndrome, is a rare neurodegenerative disease characterized by a variety of motor and neuro-ophthalmological symptoms. We present the case of a 73-year-old male patient with ... ...

    Abstract Progressive Supranuclear Palsy (PSP), also known as Steele-Richardson-Olszewski syndrome, is a rare neurodegenerative disease characterized by a variety of motor and neuro-ophthalmological symptoms. We present the case of a 73-year-old male patient with a history of type 2 diabetes and high blood pressure, who consulted for gait disorders, tremors in the extremities, and difficulty controlling conjugate gaze. During physical examination, findings consistent with PSP were noted, including hypomimia, muscle rigidity, and abnormal movements. The initial misdiagnosis of Parkinson's disease and subsequent administration of levodopa highlight the importance of accurate diagnosis in complex neurological conditions. This clinical case highlights the need for a thorough evaluation of neuro-ophthalmological symptoms and signs to ensure an appropriate therapeutic approach and improve the quality of life of patients.
    Language English
    Publishing date 2024-05-18
    Publishing country Spain
    Document type Case Reports
    ISSN 2173-5794
    ISSN (online) 2173-5794
    DOI 10.1016/j.oftale.2024.05.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A robust alternating least squares K-means clustering approach for times series using dynamic time warping dissimilarities.

    Vera-Vera, J Fernando / Roldán-Nofuentes, J Antonio

    Mathematical biosciences and engineering : MBE

    2024  Volume 21, Issue 3, Page(s) 3631–3651

    Abstract: Time series clustering is a usual task in many different areas. Algorithms such as K-means and model-based clustering procedures are used relating to multivariate assumptions on the datasets, as the consideration of Euclidean distances, or a ... ...

    Abstract Time series clustering is a usual task in many different areas. Algorithms such as K-means and model-based clustering procedures are used relating to multivariate assumptions on the datasets, as the consideration of Euclidean distances, or a probabilistic distribution of the observed variables. However, in many cases the observed time series are of unequal length and/or there is missing data or, simply, the time periods observed for the series are not comparable between them, which does not allow the direct application of these methods. In this framework, dynamic time warping is an advisable and well-known elastic dissimilarity procedure, in particular when the analysis is accomplished in terms of the shape of the time series. In relation to a dissimilarity matrix, K-means clustering can be performed using a particular procedure based on classical multidimensional scaling in full dimension, which can result in a clustering problem in high dimensionality for large sample sizes. In this paper, we propose a procedure robust to dimensionality reduction, based on an auxiliary configuration estimated from the squared dynamic time warping dissimilarities, using an alternating least squares procedure. The performance of the model is compared to that obtained using classical multidimensional scaling, as well as to that of model-based clustering using this related auxiliary linear projection. An extensive Monte Carlo procedure is employed to analyze the performance of the proposed method in which real and simulated datasets are considered. The results obtained indicate that the proposed K-means procedure, in general, slightly improves the one based on the classical configuration, both being robust in reduced dimensionality, making it advisable for large datasets. In contrast, model-based clustering in the classical projection is greatly affected by high dimensionality, offering worse results than K-means, even in reduced dimension.
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2024160
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A cluster differences unfolding method for large datasets of preference ratings on an interval scale: Minimizing the mean squared centred residuals.

    Macías, Rodrigo / Vera, J Fernando / Heiser, Willem J

    The British journal of mathematical and statistical psychology

    2024  Volume 77, Issue 2, Page(s) 356–374

    Abstract: Clustering and spatial representation methods are often used in combination, to analyse preference ratings when a large number of individuals and/or object is involved. When analysed under an unfolding model, row-conditional linear transformations are ... ...

    Abstract Clustering and spatial representation methods are often used in combination, to analyse preference ratings when a large number of individuals and/or object is involved. When analysed under an unfolding model, row-conditional linear transformations are usually most appropriate when the goal is to determine clusters of individuals with similar preferences. However, a significant problem with transformations that include both slope and intercept is the occurrence of degenerate solutions. In this paper, we propose a least squares unfolding method that performs clustering of individuals while simultaneously estimating the location of cluster centres and object locations in low-dimensional space. The method is based on minimising the mean squared centred residuals of the preference ratings with respect to the distances between cluster centres and object locations. At the same time, the distances are row-conditionally transformed with optimally estimated slope parameters. It is computationally efficient for large datasets, and does not suffer from the appearance of degenerate solutions. The performance of the method is analysed in an extensive Monte Carlo experiment. It is illustrated for a real data set and the results are compared with those obtained using a two-step clustering and unfolding procedure.
    MeSH term(s) Humans ; Cluster Analysis
    Language English
    Publishing date 2024-01-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 218109-5
    ISSN 2044-8317 ; 0007-1102
    ISSN (online) 2044-8317
    ISSN 0007-1102
    DOI 10.1111/bmsp.12332
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Work characteristics, job satisfaction and intention to leave: a cross-sectional survey of advanced nurse practitioners.

    Duignan, Martin / Drennan, Jonathan / Mc Carthy, Vera J C

    Contemporary nurse

    2024  , Page(s) 1–13

    Abstract: Background: Advanced Nurse Practitioners (ANPs) are highly skilled health care professionals with the potential to play a major role in improving the quality and accessibility of health care services. However, there is emerging evidence of disquiet ... ...

    Abstract Background: Advanced Nurse Practitioners (ANPs) are highly skilled health care professionals with the potential to play a major role in improving the quality and accessibility of health care services. However, there is emerging evidence of disquiet among nurse practitioners who often work in suboptimal work environments. Therefore, it is important to understand the elements that contribute to ANPs' job satisfaction and retention in healthcare services.
    Aim: To examine the effects of commitment to the workplace, work engagement, and influence at work on job satisfaction and intention to leave of ANPs.
    Methods: A total of 153 ANP's on the advanced practice section of the Nursing and Midwifery Board of Ireland register completed a web survey between July and August 2020. Independent variables (commitment to the workplace, work engagement, and influence at work) were measured using the Copenhagen Psychosocial Questionnaire (COPSOQ). Multivariable logistic regression models were used to investigate the association between dependent and independent variables.
    Results: Participants who reported higher levels of influence at work and higher levels of commitment to the workplace were also satisfied in their job (OR 1.05, 95% CI 1.01-1.09,
    Conclusion: Healthcare organisations can improve job satisfaction and decrease intention to leave by creating environments in which ANPs are supported by their colleagues and supervisors, and facilitate their practice to the full extent of their capabilities.
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491361-6
    ISSN 1839-3535 ; 1037-6178
    ISSN (online) 1839-3535
    ISSN 1037-6178
    DOI 10.1080/10376178.2024.2327353
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: An Agent-Based Model for the Role of Short-Term Memory Enhancement in the Emergence of Grammatical Agreement.

    Vera, Javier

    Artificial life

    2018  Volume 24, Issue 2, Page(s) 119–127

    Abstract: What is the influence of short-term memory enhancement on the emergence of grammatical agreement systems in multi-agent language games? Agreement systems suppose that at least two words share some features with each other, such as gender, number, or case. ...

    Abstract What is the influence of short-term memory enhancement on the emergence of grammatical agreement systems in multi-agent language games? Agreement systems suppose that at least two words share some features with each other, such as gender, number, or case. Previous work, within the multi-agent language-game framework, has recently proposed models stressing the hypothesis that the emergence of a grammatical agreement system arises from the minimization of semantic ambiguity. On the other hand, neurobiological evidence argues for the hypothesis that language evolution has mainly related to an increasing of short-term memory capacity, which has allowed the online manipulation of words and meanings participating particularly in grammatical agreement systems. Here, the main aim is to propose a multi-agent language game for the emergence of a grammatical agreement system, under measurable long-range relations depending on the short-term memory capacity. Computer simulations, based on a parameter that measures the amount of short-term memory capacity, suggest that agreement marker systems arise in a population of agents equipped at least with a critical short-term memory capacity.
    MeSH term(s) Humans ; Language ; Linguistics ; Memory, Short-Term ; Models, Psychological ; Systems Analysis
    Language English
    Publishing date 2018-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2024100-8
    ISSN 1530-9185 ; 1064-5462
    ISSN (online) 1530-9185
    ISSN 1064-5462
    DOI 10.1162/artl_a_00261
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Integration of transcriptomics data into agent-based models of solid tumor metastasis.

    Retzlaff, Jimmy / Lai, Xin / Berking, Carola / Vera, Julio

    Computational and structural biotechnology journal

    2023  Volume 21, Page(s) 1930–1941

    Abstract: Recent progress in our understanding of cancer mostly relies on the systematic profiling of patient samples with high-throughput techniques like transcriptomics. With this approach, one can find gene signatures and networks underlying cancer ... ...

    Abstract Recent progress in our understanding of cancer mostly relies on the systematic profiling of patient samples with high-throughput techniques like transcriptomics. With this approach, one can find gene signatures and networks underlying cancer aggressiveness and therapy resistance. However, omics data alone cannot generate insights into the spatiotemporal aspects of tumor progression. Here, multi-level computational modeling is a promising approach that would benefit from protocols to integrate the data generated by the high-throughput profiling of patient samples. We present a computational workflow to integrate transcriptomics data from tumor patients into hybrid, multi-scale cancer models. In the method, we conduct transcriptomics analysis to select key differentially regulated pathways in therapy responders and non-responders and link them to agent-based model parameters. We then determine global and local sensitivity through systematic model simulations that assess the relevance of parameter variations in triggering therapy resistance. We illustrate the methodology with a
    Language English
    Publishing date 2023-03-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2023.02.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Harm reduction services for people engaging in chemsex in Brighton, UK: A pilot qualitative study.

    McGaughey, Gigi / Richardson, Daniel / Vera, Jaime

    International journal of STD & AIDS

    2023  Volume 34, Issue 13, Page(s) 940–944

    Abstract: Objective: A broad range of stakeholders commission and provide harm reduction support for people who engage in chemsex, including public health, sexual health, mental health, HIV services and substance misuse services. Understanding the experiences of ... ...

    Abstract Objective: A broad range of stakeholders commission and provide harm reduction support for people who engage in chemsex, including public health, sexual health, mental health, HIV services and substance misuse services. Understanding the experiences of stakeholders could provide important insights and suggest ways to improve outcomes. We aimed to explore the experiences of stakeholders providing harm reduction support to people who engage in chemsex in Brighton, UK.
    Methods: We conducted semi structured interviews with chemsex harm reduction stakeholders who provide support for people in Brighton, UK. The semi-structured interviews were recorded, transcribed, and analysed thematically using NVivo 1.6.2: Braun & Clarke framework.
    Results: We recruited ten stakeholders with at least 6 months of experience in providing commissioning, managing or providing harm reduction services to people who engage in chemsex. Five themes emerged from the stakeholders: stakeholder perception of client pathways (inefficiency in client pathways, inequitable access to services, unmet client mental health needs) and stakeholder experiences (having to use an 'empathy', 'non judgement' and 'guiding hand' approach), and experiencing emotional burnout as a result of the chemsex harm reduction work.
    Conclusions: This pilot study of stakeholders suggests that to improve chemsex harm reduction outcomes, a more integrated approach between providers with clear client pathways and a broader reach including services tailored towards non-MSM, and offering services outside of typical business hours is needed. Furthermore, the sustainability of services requires increased workplace support for chemsex service providers to prevent burnout and maintain service quality.
    MeSH term(s) Humans ; Male ; Sexual Behavior/psychology ; Pilot Projects ; Substance-Related Disorders/therapy ; Substance-Related Disorders/psychology ; Harm Reduction ; United Kingdom ; Homosexuality, Male/psychology
    Language English
    Publishing date 2023-07-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 1018089-8
    ISSN 1758-1052 ; 0956-4624
    ISSN (online) 1758-1052
    ISSN 0956-4624
    DOI 10.1177/09564624231188752
    Database MEDical Literature Analysis and Retrieval System OnLINE

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