Publications by authors named "Paredes S"

Backgrounds And Aims: Preclinical studies suggest that a triglyceride (TG)-independent proinflammatory action of apolipoprotein C-III (apoCIII) exists. We aimed to investigate the relationship between circulating apoCIII levels and subclinical inflammation markers across different cohorts with distinctive inflammatory patterns: patients with metabolic disorders (MDs), patients with rheumatoid arthritis (RA), and controls. Specifically, we assessed the associations of apoCIII with acute inflammation biomarkers (e.

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Alterations in the gastric mucosal barrier, one of whose fundamental components is phosphatidylcholine (PC), may play an important role in the pathophysiology of erosive gastritis secondary to sepsis. Pentoxifylline (PTX) has been shown to reduce tissue damage in various experimental models of sepsis. The aim of this study was to investigate the effect of PTX on gastric mucosa PC synthesis, leukocyte infiltration, arachidonic acid-related metabolites, inflammation, oxidative stress, NO, CO, and somatostatin in a rat model of LPS-induced sepsis.

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1,2-cyclohexane dicarboxylic acid diisononyl ester (DINCH) is a non-phthalate plasticizer used as a replacement of di(2-ethylhexyl) phthalate (DEHP) in daily usage items. It is not known whether continuous exposure to low doses of DINCH can lead to hepatic alterations, the liver being the organ responsible for its metabolism. The aim of this study was to evaluate the activation of inflammatory and apoptotic pathways in the liver of lactating dams after DINCH exposure, and whether these effects may be observed on postnatal day 6 (PND6) offspring.

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Background: There is limited published data on the caseload of general surgeons in Central Australia. The region has a significant Indigenous population, who often face higher rates of chronic diseases and require more frequent surgical interventions compared to non-Indigenous individuals. This study aims to outline the workload of surgeons at Alice Springs Hospital to determine the necessary skill set and surgical education for future surgeons.

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Article Synopsis
  • The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
  • A special data scouting method is utilized to pick out events with low combined momentum in jets.
  • This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
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Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most common type of B-cell lymphoma, predominantly afflicting older adults. There remains a notable absence of data regarding DLBCL in older adults in Latin America.

Materials And Methods: We conducted a retrospective analysis of 608 newly diagnosed Latin American patients with DLBCL aged ≥65 years.

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The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

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  • The study aims to determine if the McGrath video laryngoscope, used as the first option for tracheal intubation, improves ease of intubation and reduces complications compared to the traditional Macintosh laryngoscope.
  • It's conducted as a multicenter trial involving 35 anesthesiologists across several hospitals, tracking outcomes before and after implementation of the video laryngoscope.
  • The study has ethical approval, requires informed consent from participants, and intends to publish its findings in a peer-reviewed journal and present at scientific conferences.
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  • Rheumatoid arthritis (RA) is a chronic autoimmune disease linked to joint pain and disabilities, and ongoing research is examining its connection with cardiovascular (CV) disease.
  • A study involving 219 RA patients, some with metabolic disorders, focused on measuring specific microRNAs and glycoproteins to understand their roles in inflammation related to RA and CV health.
  • Findings revealed that RA patients had higher levels of glycoproteins compared to controls, which were correlated with inflammatory markers and certain miRNAs, suggesting that these glycoproteins may indicate RA severity and are related to both inflammation and CV disease.
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The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.

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Rheumatoid arthritis (RA) is associated with an increased risk of cardiovascular disease (CVD), which is attributed to inflammatory processes that accelerate atherosclerosis. Therefore, the exploration of novel biomarkers association is needed. This study investigated the associations between serum trace elements (Fe, Zn, Mg, Se, and Sr) and surrogate markers of CVD in 219 RA patients and compared them with those with metabolic disorders (MetD, n = 82) and control participants (n = 64).

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Observation of the decay.

Eur Phys J C Part Fields

October 2024

Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .

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A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13  TeV, corresponding to an integrated luminosity of 138  fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.

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Article Synopsis
  • Rheumatoid arthritis (RA) is a chronic autoimmune disease that increases the risk of cardiovascular disease (CVD), and this study focused on evaluating new cardiovascular biomarkers in RA patients.
  • Researchers assessed 199 RA patients for CVD risk factors, disease activity, and levels of biomarkers like fetuin-A and catestatin, finding significant correlations between these biomarkers and RA parameters.
  • While elevated levels of catestatin and fetuin-A showed some associations with rheumatoid factor positivity and other disease markers, no significant links were found to traditional CVD measures like carotid intima-media thickness, indicating a need for more research on these biomarkers' roles in RA.
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Article Synopsis
  • Demand for computing power in major scientific experiments, like the CMS at CERN, is expected to significantly increase over the coming decades.
  • The implementation of coprocessors, particularly GPUs, in data processing workflows can enhance performance and efficiency, especially for machine learning tasks.
  • The Services for Optimized Network Inference on Coprocessors (SONIC) approach allows for improved use of coprocessors, demonstrating successful integration and acceleration of workflows across various environments without sacrificing throughput.
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Energy correlators that describe energy-weighted distances between two or three particles in a hadronic jet are measured using an event sample of sqrt[s]=13  TeV proton-proton collisions collected by the CMS experiment and corresponding to an integrated luminosity of 36.3  fb^{-1}. The measured distributions are consistent with the trends in the simulation that reveal two key features of the strong interaction: confinement and asymptotic freedom.

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Hole spins in Ge/SiGe heterostructures have emerged as an interesting qubit platform with favourable properties such as fast electrical control and noise-resilient operation at sweet spots. However, commonly observed gate-induced electrostatic disorder, drifts, and hysteresis hinder reproducible tune-up of SiGe-based quantum dot arrays. Here, we study Hall bar and quantum dot devices fabricated on Ge/SiGe heterostructures and present a consistent model for the origin of gate hysteresis and its impact on transport metrics and charge noise.

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This prospective observational study compared the 1H NMR blood lipidomes and metabolomes of 71 patients with community-acquired pneumonia (CAP), 75 patients with COVID-19 pneumonia, and 75 healthy controls (matched by age and sex) to identify potential biomarkers and pathways associated with respiratory infections. Both pneumonia groups had comparable severity indices, including mortality, invasive mechanical ventilation, and intensive care unit admission rates. Patients with COVID-19 pneumonia exhibited more pronounced hypolipidemia, with significantly lower levels of total cholesterol and LDL-c compared to patients with CAP.

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The production of ϒ(2S) and ϒ(3S) mesons in lead-lead (Pb-Pb) and proton-proton (pp) collisions is studied in their dimuon decay channel using the CMS detector at the LHC. The ϒ(3S) meson is observed for the first time in Pb-Pb collisions, with a significance above 5 standard deviations. The ratios of yields measured in Pb-Pb and pp collisions are reported for both the ϒ(2S) and ϒ(3S) mesons, as functions of transverse momentum and Pb-Pb collision centrality.

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The first search for singly produced narrow resonances decaying to three well-separated hadronic jets is presented. The search uses proton-proton collision data corresponding to an integrated luminosity of 138  fb^{-1} at sqrt[s]=13  TeV, collected at the CERN LHC. No significant deviations from the background predictions are observed between 1.

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Article Synopsis
  • * The measurements utilized both semileptonic and hadronic decays of top quarks, along with events focused on single top quark production in the electroweak t channel.
  • * The combined result for the top quark mass is 172.52 GeV, with a reduced total uncertainty of 0.33 GeV, showcasing an improvement of 31% over previous measurements.
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A search is presented for baryon number violating interactions in top quark production and decay. The analysis uses data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC with an integrated luminosity of 138  fb^{-1}. Candidate events are selected by requiring two oppositely charged leptons (electrons or muons) and exactly one jet identified as originating from a bottom quark.

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Purpose: Diabetes is a major public health challenge with widespread prevalence, often leading to complications such as Diabetic Nephropathy (DN)-a chronic condition that progressively impairs kidney function. In this context, it is important to evaluate if Machine learning models can exploit the inherent temporal factor in clinical data to predict the risk of developing DN faster and more accurately than current clinical models.

Methods: Three different databases were used for this literature review: Scopus, Web of Science, and PubMed.

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The common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread application is limited by a significant "lack of trust." So, the main goal of this work is the development of an evaluation approach that can assess, simultaneously, trust and performance.

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