Search results for "problems"

showing 10 items of 620 documents

Biophotonics in veterinary medicine: the first steps toward clinical translation

2019

In this paper, we analyzed the current situation and the potential of biophotonics and biomedical optics in veterinary medicine. Promising optical techniques such as optical coherence tomography, pulse oximeter, and hyperspectral imaging have been clinically translated into human medicine. But even though human and small animal medicine share personalized and state-of-the-art approach, biophotonics remains rarely exploited in the canine and feline medicine. However, there are some biophotonics studies in veterinary oncology which addressed tumor diagnosis (skin and subcutaneous tumors), prognosis (lymphoma), and therapy (clear surgical margins). Visible and near-infrared spectroscopy served…

Veterinary medicineclinical translationaldogs040301 veterinary sciencespulse oximeterAspiration procedureVeterinary oncology01 natural sciences010309 optics0403 veterinary scienceSmall animal0103 physical sciencesOrthopedic problemsHuman medicineMedicineoptical coherence tomographybusiness.industrysmall animalsbiophotonics04 agricultural and veterinary sciences3. Good healthBiophotonicsbiomedical opticsveterinary medicine:NATURAL SCIENCES::Physics::Atomic and molecular physics [Research Subject Categories]business
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Effects of different lower-limb sensory stimulation strategies on postural regulation-a Systematic review and metaanalysis

2017

Systematic reviews of balance control have tended to only focus on the effects of single lower-limb stimulation strategies, and a current limitation is the lack of comparison between different relevant stimulation strategies. The aim of this systematic review and meta-analysis was to examine evidence of effects of different lower-limb sensory stimulation strategies on postural regulation and stability. Moderate- to high-pooled effect sizes (Unbiased (Hedges' g) standardized mean differences (SMD) = 0.31-0.66) were observed with the addition of noise in a Stochastic Resonance Stimulation Strategy (SRSS), in three populations (i.e., healthy young adults, older adults, and individuals with low…

VisionSocial Scienceslcsh:MedicineStimulationDatabase and Informatics MethodsElderlyMathematical and Statistical Techniques0302 clinical medicineMedicine and Health SciencesPsychologyDatabase SearchingYoung adultlcsh:SciencePostural BalanceMultidisciplinarySensory stimulation therapyPhysicsTextilesCompressionClassical MechanicsSystematic reviewMeta-analysisPhysical Sciences/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingSensory Perceptionmedicine.symptomStatistics (Mathematics)Research Articlemedicine.medical_specialtyCognitive NeuroscienceSurgical and Invasive Medical ProceduresResearch and Analysis MethodsLower limbClothingMotor Reactions03 medical and health sciencesPhysical medicine and rehabilitationSDG 3 - Good Health and Well-beingPhysical StimulationmedicineHumansStatistical MethodsBalance (ability)Balance and FallsFunctional Electrical Stimulationbusiness.industrylcsh:RBiology and Life Sciences030229 sport sciencesPostural ControlAge GroupsGeriatricsPeople and PlacesCognitive SciencePopulation Groupingslcsh:QbusinessMathematics030217 neurology & neurosurgeryNeuroscienceMeta-AnalysisBalance problemsPLoS ONE
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ELM Regularized Method for Classification Problems

2016

Extreme Learning Machine (ELM) is a recently proposed algorithm, efficient and fast for learning the parameters of single layer neural structures. One of the main problems of this algorithm is to choose the optimal architecture for a given problem solution. To solve this limitation several solutions have been proposed in the literature, including the regularization of the structure. However, to the best of our knowledge, there are no works where such adjustment is applied to classification problems in the presence of a non-linearity in the output; all published works tackle modelling or regression problems. Our proposal has been applied to a series of standard databases for the evaluation o…

Wake-sleep algorithmComputer sciencebusiness.industryTraining timeBayesian probability02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegularization (mathematics)Support vector machine010104 statistics & probabilityArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematicsbusinessRegression problemscomputerSingle layerExtreme learning machineInternational Journal on Artificial Intelligence Tools
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Convergence of inertial prox-penalization and inertial forward-backward algorithms for solving bilevel monotone equilibrium problems

2023

The main focus of this paper is on bilevel optimization on Hilbert spaces involving two monotone equilibrium bifunctions. We present a new achievement consisting on the introduction of inertial methods for solving this type of problems. Indeed, two several inertial type methods are suggested: a proximal algorithm and a forwardbackward one. Under suitable conditions and without any restrictive assumption on the trajectories, the weak and strong convergence of the sequence generated by the both iterative methods are established. Two particular cases illustrating the proposed methods are thereafter discussed with respect to hierarchical minimization problems and equilibrium problems under a sa…

Weak and strong convergenceBilevel Equilibrium problemsEquilibrium Fitzpatrick transformProximal algorithm[MATH] Mathematics [math]Monotone bifunctions
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Weak and strong convergence of an inertial proximal method for solving bilevel monotone equilibrium problems

2022

In this paper, we introduce an inertial proximal method for solving a bilevel problem involving two monotone equilibrium bifunctions in Hilbert spaces. Under suitable conditions and without any restrictive assumption on the trajectories, the weak and strong convergence of the sequence generated by the iterative method are established. Two particular cases illustrating the proposed method are thereafter discussed with respect to hierarchical minimization problems and equilibrium problems under saddle point constraint. Furthermore, a numerical example is given to demonstrate the implementability of our algorithm. The algorithm and its convergence results improve and develop previous results i…

Weak and strong convergenceBilevel Equilibrium problemsOptimization and Control (math.OC)G.1.6Equilibrium Fitzpatrick transformFOS: MathematicsProximal algorithm90C33 49J40 46N10 65K15 65K10[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Monotone bifunctionsMathematics - Optimization and Control
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URBAN TRANSPORTATION GOVERNANCE AND WICKED PROBLEMS: A SYSTEMIC AND PERFORMANCE ORIENTED APPROACH

At an urban level, among the services that the public sector is called upon to provide, transportation plays a central role (Meyer & Miller, 2000). Urban mobility systems are complex. This complexity – characterized by pluralism, institutional fragmentation and uncertainty – determines what literature defines as ‘wicked’ problems (Rittel & Webber, 1973); namely issues that are hard to define and manage, and often lead to counterintuitive behaviours when actions are taken to resolve them. In the last 40 years, Public Administrations around the world experienced various reform processes. These processes - that were aimed at overcoming the limitations of the institutional settings already in p…

Wicked ProblemsUrban TransportationSettore SECS-P/07 - Economia AziendaleDynamic Performance Management
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On the a posteriori error analysis for linear Fokker-Planck models in convection-dominated diffusion problems

2018

This work is aimed at the derivation of reliable and efficient a posteriori error estimates for convection-dominated diffusion problems motivated by a linear Fokker-Planck problem appearing in computational neuroscience. We obtain computable error bounds of the functional type for the static and time-dependent case and for different boundary conditions (mixed and pure Neumann boundary conditions). Finally, we present a set of various numerical examples including discussions on mesh adaptivity and space-time discretisation. The numerical results confirm the reliability and efficiency of the error estimates derived.

Work (thermodynamics)Discretizationelliptic partial differential equations01 natural sciencesdiffuusiodiffuusio (fysikaaliset ilmiöt)mesh-adaptivityFOS: MathematicsNeumann boundary conditionApplied mathematicsBoundary value problemMathematics - Numerical Analysis0101 mathematicsDiffusion (business)virheanalyysiMathematicsosittaisdifferentiaaliyhtälötconvection-dominated diffusion problemsApplied Mathematicsta111010102 general mathematicsComputer Science - Numerical AnalysisNumerical Analysis (math.NA)a posteriori error estimation010101 applied mathematicsparabolic partial differential equationsComputational MathematicsElliptic partial differential equationA priori and a posterioriFokker–Planck equation
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The need for recovery scale

2013

Abstract Introduction Need for Recovery scale is one of the main scales used to assess work-induced fatigue and quality of workers’ recovery time. In fact, need for recovery is considered relevant as a precursor of prolonged fatigue or psychological distress, an indicator of work stress, and a mediating or moderating characteristic in the etiology of work-related health problems, sick leave and work disability. Objective The purpose of the present study is to translate the Need for Recovery scale into Italian, and to adapt it to Italian culture; until now there has been no comparable valid instrument made for the Italian language that measures the need for recovery of employees. The stabili…

Work disabilityApplied psychologyExplained variationExpert committeeExploratory factor analysiswork-related fatigueHealth problemsneed for recoverySick leaveitalian translation and adaptationSettore M-PSI/06 - Psicologia Del Lavoro E Delle OrganizzazioniPsychologySocial psychologymeasurement scaleApplied PsychologyItalian cultureScale adaptationEuropean Review of Applied Psychology = Revue Européenne de psychologie appliquée
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Humanities and Social Sciences: Latvia, Vol. 20, Issue 2  

2012

WorkInformation and communication technologie:HUMANITIES and RELIGION [Research Subject Categories]Human problemsCrowdsourcingInnovation:SOCIAL SCIENCES [Research Subject Categories]EmbeddednessSocial support programmes
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Exact constants in Poincaré type inequalities for functions with zero mean boundary traces

2014

In this paper, we investigate Poincare type inequalities for the functions having zero mean value on the whole boundary of a Lipschitz domain or on a measurable part of the boundary. We find exact and easily computable constants in these inequalities for some basic domains (rectangles, cubes, and right triangles) and discuss applications of the inequalities to quantitative analysis of partial differential equations. Copyright © 2014 John Wiley & Sons, Ltd.

Zero meanPartial differential equationeigenvalue problemsGeneral MathematicsMathematical analysista111General EngineeringBoundary (topology)Value (computer science)Type (model theory)Physics::History of PhysicsPoincare type inequalitiessymbols.namesakeLipschitz domainerror estimatesPoincaré conjecturesymbolsfunctional inequalitiesMathematicsMathematical Methods in the Applied Sciences
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