Search results for "Biome"

showing 10 items of 4164 documents

In Silico Analysis of Microarray-Based Gene Expression Profiles Predicts Tumor Cell Response to Withanolides

2012

Withania somnifera (L.) Dunal (Indian ginseng, winter cherry, Solanaceae) is widely used in traditional medicine. Roots are either chewed or used to prepare beverages (aqueous decocts). The major secondary metabolites of Withania somnifera are the withanolides, which are C-28-steroidal lactone triterpenoids. Withania somnifera extracts exert chemopreventive and anticancer activities in vitro and in vivo. The aims of the present in silico study were, firstly, to investigate whether tumor cells develop cross-resistance between standard anticancer drugs and withanolides and, secondly, to elucidate the molecular determinants of sensitivity and resistance of tumor cells towards withanolides. Usi…

natural productsIn silicoBiomedical EngineeringBioengineeringmedicinal foodWithania somniferaPharmacologyBiochemistryArticleTranscriptomelcsh:Biochemistrychemistry.chemical_compoundGene expressioncancerlcsh:QD415-436Transcription factorpharmacogenomicsbiologybiology.organism_classificationdrug developmentchemistryCell cultureWithaferin ASignal transductionmicroarrayBiotechnologyMicroarrays
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Sensitivity analysis in investment project of biogas plant

2017

The article shows the practical value of biogas as the second generation biofuel. All the projects dealing with biogas are subjected to external risks, such as the change of market condition, customer needs, governmental regulation, etc. In conditions of uncertainty it is necessary for administration to concentrate on decisionmaking. Fluctuations of sales volume, energy resources and raw material prices, etc. should be taken into account. Sensitivity analysis can predict the result of negative external pheno mena. We developed the economic-mathematical model for the analysis of biogas complexes sensitivity. The profitability index as a criterion for the effectiveness of investment projects …

net present valuecritical pointcarbon dioxideprofitability indexbiomethanemotor fuelApplied Ecology and Environmental Research
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Transmisión de señales mecánicas en células indiferenciadas neuroblásticas. Estudios biológicos y preclínicos en modelos in vitro 3D

2023

La biotensegridad es un principio físico de autoequilibrio en el que las fuerzas de tensión y compresión sostienen las estructuras biológicas y permiten la mecanotransducción de señales durante las interacciones célula-célula y célula-entorno. De esta manera, las células y los tejidos responden a las condiciones de su entorno y se adaptan a él. En este sentido, el cáncer muestra sus propios sistemas biotensegrales aberrantes que impulsan la carcinogénesis y la evolución de la enfermedad. La biotensegridad tumoral se define por la intercomunicación entre las poblaciones de células tumorales, los elementos de la matriz extracelular y las estructuras y moléculas del microambiente tumoral. En l…

neuroblastomaUNESCO::CIENCIAS DE LA VIDA::Biofísica::BiomecánicaUNESCO::CIENCIAS MÉDICAS ::Patología::OncologíaUNESCO::CIENCIAS MÉDICAS ::Patología::HistopatologíaUNESCO::CIENCIAS DE LA VIDA::Biología celular::Cultivo celularmicroambientemodelos preclínicosseñales mecánicastumor pediátricobiotensegridad
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NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation

2023

Background: Image analysis applications in digital pathology include various methods for segmenting regions of interest. Their identification is one of the most complex steps and therefore of great interest for the study of robust methods that do not necessarily rely on a machine learning (ML) approach. Method: A fully automatic and optimized segmentation process for different datasets is a prerequisite for classifying and diagnosing indirect immunofluorescence (IIF) raw data. This study describes a deterministic computational neuroscience approach for identifying cells and nuclei. It is very different from the conventional neural network approaches but has an equivalent quantitative and qu…

neuron physiology networksSettore INF/01 - Informaticabiomedical imaging; explainable ai; neuron physiology networks; computer-aided analysis; image segmentation; pattern analysispattern analysisElectrical and Electronic Engineeringbiomedical imagingcomputer-aided analysisimage segmentationBiochemistryInstrumentationAtomic and Molecular Physics and Opticsexplainable aiAnalytical ChemistrySensors
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Ikääntyneiden kävelyn biomekaniikka ja nivelrikko

2004

nivelrikkoportaatreaktiovoimabiomekaniikkaikääntyneetkävely
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Modelling the Electromechanical Impedance Method for the Prediction of the Biomechanical Behavior of Dental Implant Stability

2015

Abstract We propose the electromechanical impedance (EMI) technique to assess the stability of dental implants. The technique consists of bonding a piezoelectric transducer to the element to be monitored. Conventionally, electromechanical admittance is used to diagnose structural damage. In this study, we created a 3D finite element model to mimic a transducer bonded to the abutment of a dental implant placed in a host bone site. We simulated the healing after surgery by changing the Young's modulus of the bone-implant interface. The results show that as the Young's modulus of the interface increases, the electromechanical characteristic of the transducer changes.

non-destructive examination.AdmittanceMaterials sciencemedicine.medical_treatmentfinite element methodModulusosseointegrationGeneral Medicinenon-destructive examinationPiezoelectricityFinite element methodTransducerEngineering (all)EMImedicinedental stabilityelectromechanical impedance methodDental implantAbutment (dentistry)Engineering(all)Biomedical engineering
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Genética de la enfermedad de Charcot-Marie-Tooth autosómica recesiva.

2008

Tesis doctoral del Departamento de Genética. Universitat de València

noneBiomedicina575
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Wiener-Granger Causality in Network Physiology with Applications to Cardiovascular Control and Neuroscience

2016

Since the operative definition given by C. W. J. Granger of an idea expressed by N. Wiener, the Wiener–Granger causality (WGC) has been one of the most relevant concepts exploited by modern time series analysis. Indeed, in networks formed by multiple components, working according to the notion of segregation and interacting with each other according to the principle of integration, inferring causality has opened a window on the effective connectivity of the network and has linked experimental evidences to functions and mechanisms. This tutorial reviews predictability improvement, information-based and frequency domain methods for inferring WGC among physiological processes from multivariate…

nonlinear dynamicComputer scienceReliability (computer networking)Biomedical signal processingPhysiologyCardiovascular controldynamical systemdirectionalityGranger causalitymultivariate regression modelingtime series analysiPredictabilityTime seriesElectrical and Electronic EngineeringStatistical hypothesis testingbusiness.industryheart rate variabilitytransfer entropypartial directed coherencepredictioncoupling strengthCausalityconditional mutual informationFrequency domainspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaArtificial intelligencebusinesscomplexityNeuroscience
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Lajianalyysi 400 m aitajuoksusta ja valmennuksen ohjelmointi

2015

Pitkä aitajuoksumatka 400 m aidat on laji, jossa juostaan yksi aidattu ratakierros yleisurheilukentän juoksuradalla. Lähtö tapahtuu lähtötelineistä. Alkusileä on 45 m pitkä, aitoja on yhteensä 10 kappaletta, aitavälien pituus on 35 m ja loppusileä on 40 m. Biomekaniikka. Hyvässä pikajuoksussa lantio on ylhäällä ja edessä. Jalka painetaan kehon alle päkiä edellä, ja askelkontakti on pyyhkäisevä kuopaisu. Pikajuoksun askel kontakti- ja lentovaiheineen voidaan jakaa neljään osaan: 1) etummaiseen lentovaiheeseen, 2) jarrutusvaiheeseen, 3) työntövaiheeseen ja 4) takimmaiseen lentovaiheeseen. Juoksunopeus on askelpituuden ja askeltiheyden tulo. 400 m aitajuoksussa askelkontakti kestää keskimäärin…

nopeusliikkuvuusurheilupsykologiakuormitusfysiologia400 m aitajuoksuvoimakestävyysbiomekaniikkaohjelmointivalmennusoppi
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Hill’s Equation in Arm Push of Shot Put and in Braking of Arm Rotation

2019

This chapter consists of the earlier study of shot put where A.V. Hill’s force-velocity relationship was transformed into a constant maximum power model consisting of three different components of power. In addition, the braking phase of the arm rotation movement was examined where Hill’s equation was applied for accelerated motions. Hill’s force-velocity relationship was tested by fitting it into two arm push measurements of shot put experiments and one braking phase of whole arm rotation. Theoretically derived equation for accelerated motions was in agreement with the measured data of shot put experiments and the braking phase of the whole arm rotation experiment. Maximum power in these e…

nopeusmuscle powerHill’s equationarm movementbiomekaniikkakäsivarretarm push in shot putmuscle mechanicsforce-velocity relationshiplihasvoima
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