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Unusual treatment of postoperative bleeding after cardiac surgery

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World Journal of Cardiovascular Diseases 2013年第5期3卷 377-379页

作者： José Rubio-Alvarez juan sierra-quiroga Belén Adrio-Nazar Laura Reija López ángela Granda Bauza Carola Rubio Taboada Jose Manuel Martinez-Cereijo Department of Cardiac Surgery Universitary Hospital Santiago de Compostela Santiago Spain Department of Vascular Surgery Universitary Hospital of Elche Alicante Spain

A young patient was presented to the emergency department with chest pain and palpitations. A transthoracic echocardiogram showed a right atrial mass. Coronary angiography showed a right coronary artery with collateral circulation to a large mass. The tumor could only be partially resected and the patient experienced persistent postoperative bleeding. We performed a new right coronary artery angiography which showed an important free extravasation of contrast into the pericardium through the collateral circulation. Using covered stents, the bleeding was controlled. The pathological examination performed later revealed a primary cardiac angiosarcoma. After asymptom-free survival of 14 months the patient presented bone metastases.

关键词： Angiosarcoma Coronary Stenting Postoperative Bleeding

An unsupervised pattern recognition methodology based on factor analysis and a genetic-DBSCAN algorithm to infer operational conditions from strain measurements in structural applications

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Chinese Journal of Aeronautics 2021年第2期34卷 165-181页

作者： juan Carlos PERAFAN-LOPEZ Julian sierra-PEREZ Grupo de Investigacion en Ingenieria Aeroespacial Universidad Pontificia BolivarianaCircular 170-01Medellin 050031Colombia

Structural Health Monitoring(SHM) suggests the use of machine learning algorithms with the aim of understanding specific behaviors in a structural system. This work introduces a pattern recognition methodology for operational condition clustering in a structure sample using the well known Density Based Spatial Clustering of Applications with Noise(DBSCAN) *** methodology was validated using a data set from an experiment with 32 Fiber Bragg Gratings bonded to an aluminum beam placed in cantilever and submitted to cyclic bending loads under 13 different operational conditions(pitch angles). Further, the computational cost and precision of the machine learning pipeline called FA + GA-DBSCAN(which employs a combination of machine learning techniques including factor analysis for dimensionality reduction and a genetic algorithm for the automatic selection of initial parameters of DBSCAN) was measured. The obtained results have shown a good performance, detecting 12 of 13 operational conditions, with an overall precision over 90%.

关键词： Clustering DBSCAN Factor analysis FBGs Pattern recognition Strain field

Site Characterization Index for Continuous Power Quality Monitoring Based on Higher-order Statistics

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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 222-231页

作者： Olivia Florencias-Oliveros juan-José González-de-la-Rosa Jose-María sierra-Fernández Agustín Agüera-Pérez Manuel-Jesús Espinosa-Gavira José-Carlos Palomares-Salas Department of Automation Engineering ElectronicsArchitecture and Computers NetworksResearch Group TIC168Higher Polytechnic SchoolUniversity of CádizAlgeciras 11202Spain

The high penetration of distributed generation(DG)has set up a challenge for energy management and consequently for the monitoring and assessment of power quality(PQ).Besides,there are new types of disturbances owing to the uncontrolled connections of non-linear *** stochastic behaviour triggers the need for new holistic indicators which also deal with big data of PQ in terms of compression and scalability so as to extract the useful information regarding different network states and the prevailing PQ disturbances for future risk assessment and energy management *** and continuous monitoring would guarantee the report to claim for damages and to assess the risk of PQ *** this context,we propose a measurement method that postulates the use of two-dimensional(2D)diagrams based on higher-order statistics(HOSs)and a previous voltage quality index that assesses the voltage supply waveform in a continous monitoring *** suitable for both PQ and reliability applications,the results conclude that the inclusion of HOS measurements in the industrial metrological reports helps characterize the deviations of the voltage supply waveform,extracting the individual customers’pattern fingerprint,and compressing the data from both time and spatial *** method allows a continuous and robust performance needed in the SG ***,the method can be used by an average consumer as a probabilistic method to assess the risk of PQ deviations in site characterization.

关键词： Continuous statistical monitoring big data data compression higher-order statistics(HOSs) power quality(PQ)

Genomic patterns of homozygosity and inbreeding depression in MurcianoGranadina goats

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Journal of Animal Science and Biotechnology 2022年第3期13卷 721-734页

作者： María Gracia Luigi-sierra Almudena Fernández Amparo Martínez Dailu Guan juan Vicente Delgado Javier FernándezÁlvarez Vincenzo Landi Francesc Xavier Such Jordi Jordana María Saura Marcel Amills Centre for Research in Agricultural Genomics(CRAG) CSIC-IRTA-UAB-UBUniversitat Autònoma de Barcelona08193 BellaterraSpain Departamento de Mejora Genética Animal INIACarretera de la Coruña km 7528040 MadridSpain Departamento de Genética Universidad de Córdoba14071 CórdobaSpain Department of Veterinary Medicine University of Bari“Aldo Moro”62 per Casamassima km.370010 ValenzanoSPItaly Group of Research in Ruminants(G2R) Department of Animal and Food ScienceUniversitat Autònoma de Barcelona(UAB)BellaterraBarcelonaSpain Departament de Ciència Animal i dels Aliments Facultat de VeterinàriaUniversitat Autònoma de Barcelona08193 BellaterraSpain

Background:Inbreeding depression can adversely affect traits related to fitness,reproduction and productive *** current research suggests that inbreeding levels are generally low in most goat breeds,the impact of inbreeding depression on phenotypes of economic interest has only been investigated in a few studies based on genealogical ***:We genotyped 1040 goats with the Goat SNP50 *** information was used to estimate different molecular inbreeding coefficients and characterise runs of homozygosity and homozygosity *** detected38 genomic regions with increased homozygosity as well as 8 ROH hotspots mapping to chromosomes 1,2,4,6,14,16 and *** hundred seventeen goats with available records for dairy traits were analysed to evaluate the potential consequences of inbreeding depression on milk *** regions on chromosomes 8 and 25were significantly associated with inbreeding depression for the natural logarithm of the somatic cell ***,these regions contain several genes related with immunity,such as SYK,IL27,CCL19 and ***,one region on chromosome 2 was significantly associated with inbreeding depression for milk ***:Although genomic inbreeding levels are low in Murciano-Granadina goats,significant evidence of inbreeding depression for the logarithm of the somatic cell count,a phenotype closely associated with udder health and milk yield,have been detected in this *** inbreeding would be expected to augment economic gain by increasing milk yield and reducing the incidence of mastitis,which is one of the main causes of dairy goat culling.

关键词： Goat Inbreeding Milk yield Murciano-Granadina Somatic cell score

New perspectives in occult hepatitis C virus infection

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World Journal of Gastroenterology 2012年第23期18卷 2887-2894页

作者： Vicente Carreño Javier Bartolomé Inmaculada Castillo juan Antonio quiroga Foundation for the Study of Viral Hepatitis C/Guzmán el Bueno 7228015 MadridSpain

Occult hepatitis C virus (HCV) infection, defined as the presence of HCV RNA in liver and in peripheral blood mononuclear cells (PBMCs) in the absence of detectable viral RNA in serum by standard assays, can be found in anti-HCV positive patients with normal serum levels of liver enzymes and in anti-HCV negative patients with persistently elevated liver enzymes of unknown etiology. Occult HCV infection is distributed worldwide and all HCV genotypes seem to be involved in this infection. Occult hepatitis C has been found not only in anti-HCV positive subjects with normal values of liver enzymes or in chronic hepatitis of unknown origin but also in several groups at risk for HCV infection such as hemodialysis patients or family members of patients with occult HCV. This occult infection has been reported also in healthy populations without evidence of liver disease. Occult HCV infection seems to be less aggressive than chronic hepatitis C although patients affected by occult HCV may develop liver cirrhosis and even hepatocellular carcinoma. Thus, anti-HCV negative patients with occult HCV may benefit from antiviral therapy with pegylated-interferon plus ribavirin. The persistence of very low levels of HCV RNA in serum and in PBMCs, along with the maintenance of specific T-cell responses against HCV-antigens observed during a long-term follow-up of patients with occult hepatitis C, indicate that occult HCV is a persistent infection that is not spontaneously eradicated. This is an updated report on diagnosis, epidemiology and clinical implications of occult HCV with special emphasis on anti-HCV negative cases.

关键词：丙型肝炎病毒病毒感染隐匿性外周血单个核细胞肝脏疾病抗病毒治疗 T细胞反应抗原特异性

Diabetes Type 2: Poincaré Data Preprocessing for Quantum Machine Learning

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Computers, Materials & Continua 2021年第5期67卷 1849-1861页

作者： Daniel sierra-Sosa juan D.Arcila-Moreno Begonya Garcia-Zapirain Adel Elmaghraby Department of Computer Science and Engineering University of LouisvilleLouisvilleKYUSA Apolo Scientific Computing Center Universidad EAFITMedellínColombia eVida Research Group University of DeustoBilbaoSpain

Quantum Machine Learning(QML)techniques have been recently attracting massive *** reported applications usually employ synthetic or well-known *** of these techniques based on using a hybrid approach combining quantum and classic devices is the Variational Quantum Classifier(VQC),which development seems *** being largely studied,VQC implementations for“real-world”datasets are still challenging on Noisy Intermediate Scale Quantum devices(NISQ).In this paper we propose a preprocessing pipeline based on Stokes parameters for data *** pipeline enhances the prediction rates when applying VQC techniques,improving the feasibility of solving classification problems using NISQ *** including feature selection techniques and geometrical transformations,enhanced quantum state preparation is ***,a representation based on the Stokes parameters in the PoincaréSphere is possible for visualizing the *** results show that by using the proposed techniques we improve the classification score for the incidence of acute comorbid diseases in Type 2 Diabetes Mellitus *** used the implemented version of VQC available on IBM’s framework Qiskit,and obtained with two and three qubits an accuracy of 70%and 72%respectively.

关键词： Quantum machine learning data preprocessing stokes parameters Poincarésphere

Study of reverse osmosis membranes fouling by inorganic salts and colloidal particles during seawater desalination

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Chinese Journal of Chemical Engineering 2020年第3期28卷 733-742页

作者： Santiago Gutiérrez Ruiz juan Antonio López-Ramírez Mohammed Hassani Zerrouk Agata Egea-Corbacho Lopera JoséMaría quiroga Alonso Department of Environmental Technologies Faculty of Marine and Environmental SciencesUniversity of Cadiz11510Puerto RealCadizSpain

Fouling phenomenon is considered among the major reasons that cause significant increase of operating cost of desalination plants equipped with reverse osmosis(RO)*** phenomenon is studied in the present work in the case of RO polyamide aromatic membranes using model seawater containing inorganic salts and colloidal *** solubility conditions of CaCO3 and CaSO4 were applied to study RO performances with and without colloid *** experiments,the membrane permeate fluxes were continuously ***,studies of chemical composition,structure,and morphology of the materials deposited on the membrane surface were conducted using energy dispersive microanalysis(EDS)X-ray diffraction and scanning electronic microscopy(SEM).Results show that in conditions of calcium carbonate oversaturation there is a reduction in the permeate flow of 11.2%due to fouling of the membrane by the precipitation of this *** in the same conditions of calcium sulphate oversaturation the reduction of the flow is 5%,so we can conclude that in conditions of oversaturation of both salts,calcium carbonate produces a greater fouling of the membrane that in its view causes greater decrease in the flow of *** this based on the results of the test with both salts in oversaturated *** in the formation of calcite and gypsum crystals onto the membranes as XRD analyses *** presence of colloidal silica in those conditions intensifies strongly the fouling,leading until to 24.1%of permeate flux decrease.

关键词： Reverse osmosis Desalination Fouling Seawater Scaling

Understanding bottom-up continuous hydrothermal synthesis of nanoparticles using empirical measurement and computational simulation

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Nano Research 2016年第11期9卷 3377-3387页

作者： Jose sierra-Pallarest Thomas Huddle juan Garcia-Serna Esther Alonso Fidel Mato Igor Shvets Olaf Luebben Maria Jose Cocero Edward Lester Fluids Engineering Group Energy and Fluid Mechanics Engineering Department University of Valladolid Paseo del Cauce 59 47010 Valladolid Spain Advanced Materials Research Group the University of Nottingham University Park Nottingham NG7 2RD UK High Pressure Processes Group Department of Chemical Engineering and Environmental Technology University of Valladolid C/Prado de la Magdalena s/n 47011 Valladolid Spain School of Physics Trinity College Dublin College green Dublin 2 Ireland

Continuous hydrothermal synthesis was highlighted in a recent review as an enabling technology for the production of nanoparticles. In recent years, it has been shown to be a suitable reaction medium for the synthesis of a wide range of nanomaterials. Many single and complex nanomaterials such as metals, metal oxides, doped oxides, carbonates, sulfides, hydroxides, phosphates, and metal organic frameworks can be formed using continuous hydrothermal synthesis techniques. This work presents a methodology to characterize continuous hydrothermal flow systems both experimentally and numerically, and to determine the scalability of a counter current supercritical water reactor for the large scale production （〉1,000 T-year-1） of nanomaterials. Experiments were performed using a purpose-built continuous flow rig, featuring an injection loop on a metal salt feed line, which allowed the injection of a chromophoric tracer. At the system outlet, the tracer was detected using UV/Vis absorption, which could be used to measure the residence time distribution within the reactor volume. Computational fluid dynamics （CFD） calculations were also conducted using a modeled geometry to represent the experimental apparatus. The performance of the CFD model was tested against experimental data, verifying that the CFD model accurately predicted the nucleation and growth of the nanomaterials inside the reactor.

关键词： nanoparticle computational fluid dynamics synthesis supercritical inorganics

Neurophysics Assessment of the Muscle Bioenergy Generated by Transcranial Magnetic Stimulation

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Research 2019年第1期2019卷 1077-1085页

作者： Fidias E.Leon-Sarmiento Alexander Gonzalez-Castaño Carlos V.Rizzo-sierra juan Aceros Daniel S.Leon-Ariza juan S.Leon-Ariza Diddier G.Prada William Bara-Jimenez Zeng Y.Wang Smell and Taste Center Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA Human Motor Control Section NINDSNational Institutes of HealthBethesdaMDUSA Mediciencias Research Group LouisvilleKYUSA Universidad Internacional de la Rioja Spain Neurophysics Unit Corporacion Universitaria Minuto de Dios-UNIMINUTOColombia Charity Association for Person Centered Medicine Moral EntityItaly School of Engineering University of North FloridaJacksonvilleFLUSA Faculty of Health Sciences Santander UniversityUDESColombia Department of Neurosurgery Johns Hopkins UniversityBaltimoreMAUSA Harvard T.H.Chan School of Public Health Harvard UniversityBostonMAUSA Unidad de Investigacion Biomedica en Cancer Instituto Nacional de CancerMexico DFMexico Neuromuscular Division Department of NeurologyUniversity of LouisvilleLouisvilleKYUSA

Te content of the rectifed motor evoked potential(MEP)induced by transcranial magnetic stimulation(TMS)has ambiguously been assessed without the precision that energy calculation *** fact has misled data interpretation and misguided biomedical *** defnitively fll the gap that exits in the neurophysics processing of these signals,we computed,in Walls(̂�),the bioenergy within the rectifed MEP recorded from the human frst digitorum index(FDI)muscle at rest and under isometric *** also gauged the biowork exerted by this *** we show that bioenergy and biowork can accurately and successfully be assessed,validated,and determined in̂�from MEP signals induced by TMS,regardless of knowing the mathematical expression of the function of the *** novel neurophysics approach represents a dramatic paradigm shif in analysis and interpretation of the content of the MEP and will give a true meaning to the content of rectifed ***,this innovative approach allowed unveiling that women exerted more bioenergy than men at the magnetic stimulations used in this *** of conclusions drawn from studies published elsewhere assessing rectifed EMG signals that have used ambiguous units is strongly recommended.

关键词： stimulation gauge allowed