Publications by authors named "Carlos Morell"

Submarine Groundwater Discharge (SGD) delivers nutrients to the coastal sea triggering phytoplankton blooms, eutrophication, and can also serve as a pathway for contaminants. Wastewater treatment plants (WWTP) including injection wells in coastal areas influence coastal aquifers and might impact the composition and magnitude of SGD fluxes. In tourist areas, wastewater treatment may be less efficient and larger in volume during high seasons, potentially impacting nutrient fluxes from SGD and exacerbating environmental impacts.

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Article Synopsis
  • Extreme storms like Storm Gloria can cause significant and lasting damage to seagrass ecosystems, particularly affecting foundational species like Posidonia oceanica.
  • Following Storm Gloria in January 2020, surveys of seagrass meadows revealed that over half experienced shoot unburial, with some areas having up to 40 cm of sediment removed, while burial affected 10-80% of meadows.
  • The research highlights that more exposed and patchy meadows are more susceptible to such extreme weather events, and it may take decades to centuries for these damaged seagrass ecosystems to recover, emphasizing the need for their protection against human impact.
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A 13-year-old boy presented to hospital with 3-day self-limited fever, followed by dry cough, persistent asthenia and impaired general condition of 2 weeks' duration. Blood analyses showed a severe inflammatory status and chest X-ray images were consistent with bilateral COVID-19 pneumonia. He developed an acute respiratory failure that required paediatric intensive care admission and non-invasive ventilation.

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The key to success of many machine learning and pattern recognition algorithms is the way of computing distances between the input data. In this paper, we propose a large-margin-based approach, called the large-margin distance metric learning (LMDML), for learning a Mahalanobis distance metric. LMDML employs the principle of margin maximization to learn the distance metric with the goal of improving k -nearest-neighbor classification.

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Background: In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characterizing topological (2D) and chiral (2.5D) molecular features through atom- and bond-based ToMoCoMD-CARDD (acronym for Topological Molecular Computational Design-Computer Aided Rational Drug Design) molecular descriptors.

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Aim: Using hypotonic intravenous solutions for baseline fluid needs in paediatric patients on a nil by mouth diet may cause serious complications, including hyponatraemia, cerebral oedema and even death. We analysed the evolution of natraemia and explored any adverse effects on children treated with intravenous isotonic fluids.

Methods: This was a prospective study of 50 patients consecutively admitted to a general paediatric ward who were treated with isotonic intravenous fluids and on a nil by mouth diet.

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Background: Evaluation of ethnic and racial patterns of Inflammatory Bowel Disease (IBD) has demonstrated a higher incidence of IBD in Jews, and lower rates in blacks and Hispanics when compared to whites. There is limited data describing incidence and prevalence among Hispanics, the fastest growing minority in the United States.

Methods: To estimate the prevalence of IBD computerized records of all physicians billing and hospital discharges classified with ICD-9-CM IBD related codes were searched.

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In the preset report, for the first time, support vector machine (SVM), artificial neural network (ANN), Bayesian networks (BNs), k-nearest neighbor (k-NN) are applied and compared on two "in-house" datasets to describe the tyrosinase inhibitory activity from the molecular structure. The data set Data I is used for the identification of tyrosinase inhibitors (TIs) including 701 active and 728 inactive compounds. Data II consists of active chemicals for potency estimation of TIs.

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Up to now, very few applications of multiobjective optimization (MOOP) techniques to quantitative structure-activity relationship (QSAR) studies have been reported in the literature. However, none of them report the optimization of objectives related directly to the final pharmaceutical profile of a drug. In this paper, a MOOP method based on Derringer's desirability function that allows conducting global QSAR studies, simultaneously considering the potency, bioavailability, and safety of a set of drug candidates, is introduced.

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Objective: To examine the utilization of health services and prescription patterns among patients with systemic lupus erythematosus (SLE) followed by primary care physicians and rheumatologists in Puerto Rico.

Methods: The insurance claims submitted by physicians to a health insurance company of Puerto Rico in 2003 were examined. The diagnosis of lupus was determined by using the International Classification of Diseases, Ninth Revision, code for SLE (710.

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Objective: To examine the prevalence of systemic lupus erythematosus (SLE) and its associated comorbidities in patients from Puerto Rico using a database from a health insurance company.

Methods: The insurance claims submitted by physicians in 2003 to a health insurance company of Puerto Rico were examined. Of 552,733 insured people, 877 had a diagnosis of SLE (code 710.

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Objectives: Limited data exists about Inflammatory Bowel Disease (IBD) in Hispanic populations. The aims of the present study were to estimate overall and specific prevalence of IBD (Crohn's disease and ulcerative colitis) and to describe the characteristics of a group of patients from the University of Puerto Rico's IBD Registry.

Methods: To estimate the prevalence of IBD, computerized records of all physician billing and hospital discharges from a major health insurer in Puerto Rico and classified with ICD-9-CM codes 555.

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