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Article: Constrained numerical deconvolution using orthogonal polynomials.

Maestre, J M / Chanfreut, P / Aarons, L

2024 Volume 10, Issue 3, Page(s) e24762

Abstract: In this article, we present an enhanced version of Cutler's deconvolution method to address the limitations of the original algorithm in estimating realistic input and output parameters. Cutler's method, based on orthogonal polynomials, suffers from ... ...

Abstract	In this article, we present an enhanced version of Cutler's deconvolution method to address the limitations of the original algorithm in estimating realistic input and output parameters. Cutler's method, based on orthogonal polynomials, suffers from unconstrained solutions, leading to the lack of realism in the deconvolved signals in some applications. Our proposed approach incorporates constraints using a ridge factor and Lagrangian multipliers in an iterative fashion, maintaining Cutler's iterative projection-based nature. This extension avoids the need for external optimization solvers, making it particularly suitable for applications requiring constraints on inputs and outputs. We demonstrate the effectiveness of the proposed method through two practical applications: the estimation of COVID-19 curves and the study of mavoglurant, an experimental drug. Our results show that the extended method presents a sum of squared residuals in the same order of magnitude of that of the original Cutler's method and other widely known unconstrained deconvolution techniques, but obtains instead physically plausible solutions, correcting the errors introduced by the alternative methods considered, as illustrated in our case studies.
Language	English
Publishing date	2024-01-18
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e24762
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Article: Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules.

Maestre-Muñiz, Modesto M / Arias, Ángel / Lucendo, Alfredo J

Biomedicines

2022 Volume 10, Issue 10

Abstract: Multiple prediction models for risk of in-hospital mortality from COVID-19 have been developed, but not applied, to patient cohorts different to those from which they were derived. The MEDLINE, EMBASE, Scopus, and Web of Science (WOS) databases were ... ...

Abstract	Multiple prediction models for risk of in-hospital mortality from COVID-19 have been developed, but not applied, to patient cohorts different to those from which they were derived. The MEDLINE, EMBASE, Scopus, and Web of Science (WOS) databases were searched. Risk of bias and applicability were assessed with PROBAST. Nomograms, whose variables were available in a well-defined cohort of 444 patients from our site, were externally validated. Overall, 71 studies, which derived a clinical prediction rule for mortality outcome from COVID-19, were identified. Predictive variables consisted of combinations of patients' age, chronic conditions, dyspnea/taquipnea, radiographic chest alteration, and analytical values (LDH, CRP, lymphocytes, D-dimer); and markers of respiratory, renal, liver, and myocardial damage, which were mayor predictors in several nomograms. Twenty-five models could be externally validated. Areas under receiver operator curve (AUROC) in predicting mortality ranged from 0.71 to 1 in derivation cohorts; C-index values ranged from 0.823 to 0.970. Overall, 37/71 models provided very-good-to-outstanding test performance. Externally validated nomograms provided lower predictive performances for mortality in their respective derivation cohorts, with the AUROC being 0.654 to 0.806 (poor to acceptable performance). We can conclude that available nomograms were limited in predicting mortality when applied to different populations from which they were derived.
Language	English
Publishing date	2022-09-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines10102414
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Article ; Online: Genital chronic graft-versus-host disease: an unmet need that requires trained gynecologists.

Martínez-Maestre, M Á / Castelo-Branco, C / Calderón, A M / Espigado, I / Pérez-Simón, J A / González-Cejudo, C

Climacteric : the journal of the International Menopause Society

2024 , Page(s) 1–7

Abstract: Objective: Menopause and chronic graft-versus-host disease (cGvHD) are the leading causes of morbidity after allogeneic hematopoietic stem cell transplantation (alloHSCT). Genitalia are one of the target organs of cGvHD causing sexual dysfunction and ... ...

Abstract	Objective: Menopause and chronic graft-versus-host disease (cGvHD) are the leading causes of morbidity after allogeneic hematopoietic stem cell transplantation (alloHSCT). Genitalia are one of the target organs of cGvHD causing sexual dysfunction and local symptoms, which may impair women's quality of life. The aim of this study is to describe the prevalence and clinical characteristics of genital cGvHD. Methods: A retrospective cross-sectional observational study was performed including 85 women with alloHSCT. All women were diagnosed and counseled by a trained gynecologist. Health-related quality of life was assessed by the Cervantes Short-Form Scale and sexual function was evaluated by the Female Sexual Function Index. Results: Seventeen women (20%) included in the study were diagnosed with genital cGvHD. The main complaints were vulvovaginal dryness (42.2%) and dyspareunia (29.4%), the presence of erythema/erythematous plaques (52.9%) being the most frequent sign. Median time from transplant to diagnosis of genital cGvHD was 17 months among those with mild involvement, 25 months for moderate and 42 months for severe forms. Mortality was 29.4% in patients who developed cGvHD with genital involvement versus 8.8% among those without ( Conclusion: Early gynecological evaluation might allow to identify patients with mild forms of genital cGvHD, potentially enabling better management and improved outcomes.
Language	English
Publishing date	2024-02-28
Publishing country	England
Document type	Journal Article
ZDB-ID	1469153-x
ISSN	1473-0804 ; 1369-7137
ISSN (online)	1473-0804
ISSN	1369-7137
DOI	10.1080/13697137.2024.2314521
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Article ; Online: Use of clinical simulation to support a pediatric face mask procurement process.

Suarez, C / Hernández-Pinto, P / Manso, J / Maestre, J M

Revista espanola de anestesiologia y reanimacion

2021 Volume 68, Issue 8, Page(s) 491–492

MeSH term(s)	Child ; Computer Simulation ; Extraoral Traction Appliances ; Humans ; Masks
Language	English
Publishing date	2021-09-14
Publishing country	Spain
Document type	Letter
ISSN	2341-1929
ISSN (online)	2341-1929
DOI	10.1016/j.redare.2020.11.006
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Book ; Online: ALADIN-based Distributed Model Predictive Control with dynamic partitioning

Chanfreut, P. / Maestre, J. M. / Krishnamoorthy, D. / Camacho, E. F.

An application to Solar Parabolic Trough Plants

2023

Abstract: This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the temperature of ...

Abstract	This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the temperature of a heat transfer fluid (HTF) in a set of loops of solar parabolic collectors by adjusting its flow rate. The control problem involves a nonlinear prediction model, decoupled inequality constraints, and coupled affine constraints on the system inputs. The application of ALADIN to address such a problem is combined with a dynamic clustering-based partitioning approach that aims at reducing, with minimum performance losses, the number of variables to be coordinated. Numerical results on a 10-loop plant are presented. Comment: 7 pages
Keywords	Electrical Engineering and Systems Science - Systems and Control
Publishing date	2023-05-04
Publishing country	us
Document type	Book ; Online
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Article ; Online: A tool to support the work of surgical teams and face the COVID-19 pandemic.

Maestre, J M / Rábago, J L / Del Moral, I

Revista espanola de anestesiologia y reanimacion

2020 Volume 67, Issue 6, Page(s) 355–356

Title translation	Una herramienta para apoyar el trabajo de los equipos quirúrgicos y afrontar la COVID-19.
MeSH term(s)	Betacoronavirus ; COVID-19 ; Communication ; Coronavirus Infections/psychology ; Coronavirus Infections/transmission ; General Surgery ; Health Personnel/psychology ; Humans ; Interpersonal Relations ; Interview, Psychological/methods ; Pandemics ; Pneumonia, Viral/psychology ; Pneumonia, Viral/transmission ; SARS-CoV-2
Keywords	covid19
Language	Spanish
Publishing date	2020-05-15
Document type	Letter
ISSN	2341-1929
ISSN (online)	2341-1929
DOI	10.1016/j.redar.2020.05.004
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Article ; Online: Analyzing direct effects of education level and estimated IQ between cognitively intact Mexican Americans and Non-Hispanic whites on a confrontational naming task.

Devora, Paulina Vanessa / Motes, Michael A / Hilsabeck, Robin C / Gonzales, Mitzi / Detoledo, John / Maestre, Gladys / Hart, John

Applied neuropsychology. Adult

2024 , Page(s) 1–10

Abstract: Confrontational naming is widely used in diagnosing neurodegenerative disorders like MCI and dementia, and previous research indicates that healthy Non-Hispanic Whites outperform Hispanics in such tasks. However, understanding the factors contributing to ...

Abstract	Confrontational naming is widely used in diagnosing neurodegenerative disorders like MCI and dementia, and previous research indicates that healthy Non-Hispanic Whites outperform Hispanics in such tasks. However, understanding the factors contributing to score differences among ethnic groups remains limited. This study focuses on cognitively intact Mexican Americans and Non-Hispanic White older adults from the TARCC Hispanic Cohort project. Hierarchical regression analyses reveal that sex, age, ethnicity, education level, and estimated IQ significantly predict performance on the Boston Naming Test (BNT). Notably, education level and estimated IQ more strongly influence BNT performance in Mexican Americans than in Non-Hispanic Whites. When controlling for education level, estimated IQ has a more pronounced impact on BNT performance in aging Mexican Americans compared to Non-Hispanic Whites. Conversely, after controlling for estimated IQ, the influence of education level is weaker for Mexican Americans than Non-Hispanic Whites. These findings emphasize the need for careful evaluation of confrontational naming task scores in diverse ethnic groups, emphasizing the critical role of education and estimated IQ in understanding performance disparities.
Language	English
Publishing date	2024-03-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2673736-X
ISSN	2327-9109 ; 2327-9095
ISSN (online)	2327-9109
ISSN	2327-9095
DOI	10.1080/23279095.2024.2326587
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Article ; Online: Relationship Between Cognitive Performance, Physical Activity, and Socio-Demographic/Individual Characteristics Among Aging Americans.

Dowllah, Imtiaz Masfique / Lopez-Alvarenga, Juan / Maestre, Gladys E / Karabulut, Ulku / Lehker, Michael / Karabulut, Murat

Journal of Alzheimer's disease : JAD

2023 Volume 92, Issue 3, Page(s) 975–987

Abstract: Background: Physical activity (PA) has emerged as a promising approach to delay Alzheimer's disease and related dementias, but the optimal intensity of PA to improve cognitive health remains unknown.: Objective: To evaluate the association between ... ...

Abstract	Background: Physical activity (PA) has emerged as a promising approach to delay Alzheimer's disease and related dementias, but the optimal intensity of PA to improve cognitive health remains unknown. Objective: To evaluate the association between duration and intensity of PA and cognitive domains (executive function, processing speed, and memory) in aging Americans. Methods: Linear regressions in hierarchical blocks for variable adjustment and the size of effect (η2) were analyzed by using the data of 2,377 adults (age = 69.3±6.7 years) from the NHANES 2011-2014. Results: Participants with 3-6 h/week of vigorous- and > 1 h/week of moderate-intensity PA scored significantly higher in executive function and processing speed domains of cognition compared to inactive peers (η2 = 0.005 & 0.007 respectively, p < 0.05). After adjustment, the beneficial effects of 1-3 h /week of vigorous-intensity PA became trivial for delayed recall memory domain test scores (β= 0.33; 95% CI: -0.01,0.67; η2 = 0.002; p = 0.56). There was no linear dose-response relationship between the cognitive test scores and weekly moderate-intensity of PA. Interestingly, higher handgrip strength and higher late-life body mass index were associated with a higher performance across all cognitive domains. Conclusion: Our study supports habitual PA with superior cognition health in some but not all domains among older adults. Furthermore, increased muscle strength and higher late-life adiposity may also impact cognition.
MeSH term(s)	Humans ; Aged ; Hand Strength ; Nutrition Surveys ; Aging/psychology ; Cognition/physiology ; Exercise/physiology ; Physical Functional Performance ; Demography
Language	English
Publishing date	2023-02-24
Publishing country	Netherlands
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	1440127-7
ISSN	1875-8908 ; 1387-2877
ISSN (online)	1875-8908
ISSN	1387-2877
DOI	10.3233/JAD-221151
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Article ; Online: Self-organization as a mechanism of resilience in dryland ecosystems.

Kéfi, Sonia / Génin, Alexandre / Garcia-Mayor, Angeles / Guirado, Emilio / Cabral, Juliano S / Berdugo, Miguel / Guerber, Josquin / Solé, Ricard / Maestre, Fernando T

Proceedings of the National Academy of Sciences of the United States of America

2024 Volume 121, Issue 6, Page(s) e2305153121

Abstract: Self-organized spatial patterns are a common feature of complex systems, ranging from microbial communities to mussel beds and drylands. While the theoretical implications of these patterns for ecosystem-level processes, such as functioning and ... ...

Abstract	Self-organized spatial patterns are a common feature of complex systems, ranging from microbial communities to mussel beds and drylands. While the theoretical implications of these patterns for ecosystem-level processes, such as functioning and resilience, have been extensively studied, empirical evidence remains scarce. To address this gap, we analyzed global drylands along an aridity gradient using remote sensing, field data, and modeling. We found that the spatial structure of the vegetation strengthens as aridity increases, which is associated with the maintenance of a high level of soil multifunctionality, even as aridity levels rise up to a certain threshold. The combination of these results with those of two individual-based models indicate that self-organized vegetation patterns not only form in response to stressful environmental conditions but also provide drylands with the ability to adapt to changing conditions while maintaining their functioning, an adaptive capacity which is lost in degraded ecosystems. Self-organization thereby plays a vital role in enhancing the resilience of drylands. Overall, our findings contribute to a deeper understanding of the relationship between spatial vegetation patterns and dryland resilience. They also represent a significant step forward in the development of indicators for ecosystem resilience, which are critical tools for managing and preserving these valuable ecosystems in a warmer and more arid world.
MeSH term(s)	Ecosystem ; Resilience, Psychological ; Soil ; Microbiota
Chemical Substances	Soil
Language	English
Publishing date	2024-02-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2305153121
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Article ; Online: General Purpose Transistor Characterized as Dosimetry Sensor of Proton Beams.

Moreno-Pérez, J A / Ruiz-García, I / Martín-Holgado, P / Romero-Maestre, A / Anguiano, M / Vila, R / Carvajal, M A

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 7

Abstract: A commercial pMOS transistor (MOSFET), 3N163 from Vishay (USA), has been characterized as a low-energy proton beam dosimeter. The top of the samples' housing has been removed to guarantee that protons reached the sensitive area, that is, the silicon die. ...

Abstract	A commercial pMOS transistor (MOSFET), 3N163 from Vishay (USA), has been characterized as a low-energy proton beam dosimeter. The top of the samples' housing has been removed to guarantee that protons reached the sensitive area, that is, the silicon die. Irradiations took place at the National Accelerator Centre (Seville, Spain). During irradiations, the transistors were biased to improve the sensitivity, and the silicon temperature was monitored activating the parasitic diode of the MOSFET. Bias voltages of 0, 1, 5, and 10 V were applied to four sets of three transistors, obtaining an averaged sensitivity that was linearly dependent on this voltage. In addition, the short-fading effect was studied, and the uncertainty of this effect was obtained. The bias voltage that provided an acceptable sensitivity, (11.4 ± 0.9) mV/Gy, minimizing the uncertainty due to the fading effect (-0.09 ± 0.11) Gy was 1 V for a total absorbed dose of 40 Gy. Therefore, this off-the-shelf electronic device presents promising characteristics as a dosimeter sensor for proton beams.
Language	English
Publishing date	2023-04-06
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23073771
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