Search results for "mathematical model."

showing 10 items of 343 documents

Data-based modeling and estimation of vehicle crash processes in frontal fixed-barrier crashes

2017

Abstract As a complex process, vehicle crash is challenging to be described and estimated mathematically. Although different mathematical models are developed, it is still difficult to balance the complexity of models and the performance of estimation. The aim of this work is to propose a novel scheme to model and estimate the processes of vehicle-barrier frontal crashes. In this work, a piecewise model structure is predefined to represent the accelerations of vehicle in frontal crashes. Each segment in the model is corresponding to the energy absorbing component in the crashworthiness structure. With the help of Ensemble Empirical Mode Decomposition (EEMD), a robust scheme is proposed for …

0209 industrial biotechnologyEngineeringSignal processingMathematical modelComputer Networks and Communicationsbusiness.industryApplied MathematicsCrash02 engineering and technologyControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFinite element methodHilbert–Huang transform020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringControl and Systems EngineeringComponent (UML)Signal ProcessingPiecewiseCrashworthinessbusinessAlgorithmSimulationJournal of the Franklin Institute
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Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool

2020

An effort is made in this work to appraise the surface characteristics of machined expandable polystyrene (EPS) with a novel 3D printed thermoplastic acrylonitrile-butadiene-styrene (ABS) tool. Linear grooves on EPS were made on a vertical milling machine that was modified to conduct experiments in the laboratory. The tests were designed as per the Taguchi L9 based factorial design of experimentation while varying process parameters such as depth of cut, spindle speed, and feed rate. The machining responses dimensional accuracy and surface roughness of the machined grooves were studied. Furthermore, the surface topography of the machined specimens was considered to investigate the mechanism…

0209 industrial biotechnologyMaterials scienceThermoplastic02 engineering and technologylcsh:TechnologyArticle09 EngineeringTaguchi methodschemistry.chemical_compound020901 industrial engineering & automationMachiningSurface roughnessthermoplastic toolGeneral Materials ScienceComposite materialthree-dimensional printinglcsh:Microscopylcsh:QC120-168.85chemistry.chemical_classificationMathematical modellcsh:QH201-278.5lcsh:Tfused deposition modellingFactorial experiment021001 nanoscience & nanotechnologyexpandable polystyrenechemistrylcsh:TA1-2040surface roughnessdimension accuracymillinglcsh:Descriptive and experimental mechanicsPolystyrenelcsh:Electrical engineering. Electronics. Nuclear engineering03 Chemical Sciences0210 nano-technologyBatch productionlcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Mathematical models for a cutting problem in the glass manufacturing industry

2021

Abstract The glass cutting problem proposed for the ROADEF 2018 challenge is a two-dimensional, three-stage guillotine cutting process, with an additional cut to obtain pieces in some specific situations. However, it is not a standard problem because it includes specific constraints. The sheets produced in the glass manufacturing process have defects that make them different and have to be used in order. The pieces to be cut are grouped into subsets and the pieces from each subset must be cut in order. We approach the problem by developing and solving integer linear models. We start with the basic model, which includes the essential features of the problem, as a classical three-stage cuttin…

0209 industrial biotechnologyMathematical optimization021103 operations researchInformation Systems and ManagementMathematical modelComputer scienceStrategy and Management0211 other engineering and technologiesLinear modelProcess (computing)02 engineering and technologyManagement Science and Operations ResearchStandard problem020901 industrial engineering & automationCutting stock problemGlass manufacturingTrimmingInteger (computer science)Omega
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Engineering approaches in siRNA delivery.

2017

siRNAs are very potent drug molecules, able to silence genes involved in pathologies development. siRNAs have virtually an unlimited therapeutic potential, particularly for the treatment of inflammatory diseases. However, their use in clinical practice is limited because of their unfavorable properties to interact and not to degrade in physiological environments. In particular they are large macromolecules, negatively charged, which undergo rapid degradation by plasmatic enzymes, are subject to fast renal clearance/hepatic sequestration, and can hardly cross cellular membranes. These aspects seriously impair siRNAs as therapeutics. As in all the other fields of science, siRNAs management ca…

0301 basic medicine3003siRNAs Delivery vectors in vitro models Mathematical modeling Physical modelingDelivery vectors; In vitro models; Mathematical modeling; Physical modeling; SiRNAs; 3003Pharmaceutical ScienceNanotechnology02 engineering and technologyComputational biologyBiology03 medical and health sciencesDrug Delivery SystemsHumanssiRNAs; Delivery vectors; in vitro models; Mathematical modeling; Physical modelingRNA Small Interferingin vitro modelsPhysical modelingSettore ING-IND/34 - Bioingegneria IndustrialeHydrogelsDelivery vectorsModels Theoretical021001 nanoscience & nanotechnologyDelivery vectorsiRNAsClinical PracticeHydrogel030104 developmental biologyin vitro modelsiRNAMathematical modeling0210 nano-technologyBlood streamDrug Delivery SystemClearanceHumanInternational journal of pharmaceutics
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Dynamics and predicted drug response of a gene network linking dedifferentiation with β-catenin dysfunction in hepatocellular carcinoma

2019

Background & Aims Alterations of individual genes variably affect the development of hepatocellular carcinoma (HCC). Thus, we aimed to characterize the function of tumor-promoting genes in the context of gene regulatory networks (GRNs). Methods Using data from The Cancer Genome Atlas, from the LIRI-JP (Liver Cancer – RIKEN, JP project), and from our transcriptomic, transfection and mouse transgenic experiments, we identify a GRN which functionally links LIN28B-dependent dedifferentiation with dysfunction of β-catenin (CTNNB1). We further generated and validated a quantitative mathematical model of the GRN using human cell lines and in vivo expression data. Results We found that LIN28B and C…

0301 basic medicineBeta-cateninCarcinoma HepatocellularHepatocellular carcinomaLIN28BCellGene regulatory networkPrincipal component analysisMice TransgenicBiologyTransfectionTranscriptomeCohort Studies03 medical and health sciencesMice0302 clinical medicineMathematical modelmicroRNAmedicineAnimalsHumansGene Regulatory NetworksCTNNB1Genebeta CateninHepatologySequence Analysis RNALiver NeoplasmsGene regulatory networkRNA-Binding ProteinsHGF/MET pathwayMicroRNAHep G2 CellsHCCSModels TheoreticalPrognosisPersonalized medicinedigestive system diseases030104 developmental biologymedicine.anatomical_structureCancer researchSMARCA4biology.protein030211 gastroenterology & hepatologyTranscriptome
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The Role of Mathematical Models in Immuno-Oncology: Challenges and Future Perspectives

2021

Immuno-oncology (IO) focuses on the ability of the immune system to detect and eliminate cancer cells. Since the approval of the first immune checkpoint inhibitor, immunotherapies have become a major player in oncology treatment and, in 2021, represented the highest number of approved drugs in the field. In spite of this, there is still a fraction of patients that do not respond to these therapies and develop resistance mechanisms. In this sense, mathematical models offer an opportunity to identify predictive biomarkers, optimal dosing schedules and rational combinations to maximize clinical response. This work aims to outline the main therapeutic targets in IO and to provide a description …

0301 basic medicineOncologymedicine.medical_specialtyComputer scienceImmune checkpoint inhibitorsPharmaceutical ScienceCancer immunityReview03 medical and health sciences0302 clinical medicinePharmacy and materia medicaDosing schedulesInternal medicinemedicineTumor growthimmuno-oncologyPK/PD modelsPredictive biomarkertop-down approachMathematical modelPK/PDmathematical modelingRS1-441030104 developmental biologybottom-up approach030220 oncology & carcinogenesisSpitemiddle-out approachPharmaceutics
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Mathematical model of T-cell lymphoblastic lymphoma: disease, treatment, cure or relapse of a virtual cohort of patients

2017

International audience; T lymphoblastic lymphoma (T-LBL) is a rare type of lymphoma with a good prognosis with a remission rate of 85%. Patients can be completely cured or can relapse during or after a 2-year treatment. Relapses usually occur early after the remission of the acute phase. The median time of relapse is equal to 1 year, after the occurrence of complete remission (range 0.2–5.9 years) (Uyttebroeck et al., 2008). It can be assumed that patients may be treated longer than necessary with undue toxicity. The aim of our model was to investigate whether the duration of the maintenance therapy could be reduced without increasing the risk of relapses and to determine the minimum treatm…

0301 basic medicinePediatricsmedicine.medical_specialtymedicine.medical_treatmentPopulation[SDV.CAN]Life Sciences [q-bio]/CancerPrecursor T-Cell Lymphoblastic Leukemia-LymphomachemotherapyGeneral Biochemistry Genetics and Molecular Biology[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciences[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP][SDV.CAN] Life Sciences [q-bio]/CancerMaintenance therapythymusT-cell lymphoblastic lymphomamedicineHumanscancer[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Computer Simulationmathematical modelling[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]educationrandomized controlled clinical trialGeneral Environmental SciencePharmacologyChemotherapyeducation.field_of_studyGeneral Immunology and Microbiologybusiness.industryApplied MathematicsGeneral NeuroscienceLymphoblastic lymphomaCancerGeneral MedicineModels Theoreticalmedicine.disease3. Good healthLymphomaSurgeryClinical trial030104 developmental biologyModeling and SimulationCohortDisease ProgressionbusinessMathematical Medicine and Biology
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Impact of COVID-19 on global HCV elimination efforts.

2021

Background & Aims COVID-19 has placed significant strain on national healthcare systems at a critical moment in the context of hepatitis elimination. Mathematical models can be used to evaluate the possible impact of programmatic delays on hepatitis disease burden. The objective of this analysis was to evaluate the incremental change in hepatitis C liver-related deaths and liver cancer, following a 3-month, 6-month, or 1-year hiatus in hepatitis elimination program progress. Methods Previously developed models were adapted for 110 countries to include a status quo or “no delay” scenario and a “1-year delay” scenario assuming significant disruption in interventions (screening, diagnosis and …

0301 basic medicinePsychological interventioncoronavirusUMIC upper-middle income countriesGlobal HealthUI uncertainty intervalHIC high income countries0302 clinical medicineCost of IllnessLIC low income countriesMedicineUSA United States of AmericaLetter to the EditorMathematical modellingPWID people who inject drugsLiver DiseaseLiver DiseasesVaccinationmathematical modelingGBD Global Burden of DiseaseHepatitis CSVR sustained virologic responseEuropeHCV hepatitis C virusHepatocellular carcinomaHCVGHSS Global Health Sector StrategyRNA Viral030211 gastroenterology & hepatologyAMR region of the AmericasLiver cancerViral hepatitisHumanCarcinoma HepatocellularCoronavirus disease 2019 (COVID-19)EMR Eastern Mediterranean regionViral hepatitis eliminationviral hepatitisContext (language use)World Health OrganizationArticleWHO World Health OrganizationTime-to-Treatment03 medical and health scienceseliminationEnvironmental healthHumansLMIC lower-middle income countriesDisease EradicationDisease burdenHepatitisHepatologySARS-CoV-2business.industryWPR Western Pacific regionCOVID-19Models Theoreticalmedicine.diseaseCost of Illne030104 developmental biologySpainHCC hepatocellular carcinomabusinessJournal of hepatology
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Model Based Targeting of IL-6-Induced Inflammatory Responses in Cultured Primary Hepatocytes to Improve Application of the JAK Inhibitor Ruxolitinib

2017

IL-6 is a central mediator of the immediate induction of hepatic acute phase proteins (APP) in the liver during infection and after injury, but increased IL-6 activity has been associated with multiple pathological conditions. In hepatocytes, IL-6 activates JAK1-STAT3 signaling that induces the negative feedback regulator SOCS3 and expression of APPs. While different inhibitors of IL-6-induced JAK1-STAT3-signaling have been developed, understanding their precise impact on signaling dynamics requires a systems biology approach. Here we present a mathematical model of IL-6-induced JAK1-STAT3 signaling that quantitatively links physiological IL-6 concentrations to the dynamics of IL-6-induced …

0301 basic medicineRuxolitinibruxolitinibPhysiologySystems biologyRegulatorBiologyPharmacology: Biochemistry biophysics & molecular biology [F05] [Life sciences]lcsh:Physiology03 medical and health sciencesMediatoracute phase responsePhysiology (medical)medicineSOCS3primary hepatocytes: Biochimie biophysique & biologie moléculaire [F05] [Sciences du vivant]Original ResearchIL-6lcsh:QP1-981Acute-phase proteinmathematical modelingJAK-STAT signaling pathwayCell biology030104 developmental biologySignal transductionmedicine.drugFrontiers in Physiology
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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