Search results for "Pattern"
showing 10 items of 4203 documents
Calculated Whole Blood Viscosity and Albumin/Fibrinogen Ratio in Patients with a New Diagnosis of Multiple Myeloma: Relationships with Some Prognosti…
2023
Background: In this single center study, we retrospectively evaluated the calculated hemorheological profile in patients with a new diagnosis of multiple myeloma, with the aim to evaluate possible relationships with some prognostic predictors, such as ISS, albumin levels, beta2-microglobulin, red cell distribution width, and bone marrow plasma cell infiltration. Methods: In a cohort of 190 patients, we examined the calculated blood viscosity using the de Simone formula, and the albumin/fibrinogen ratio as a surrogate of erythrocyte aggregation, and then we related these parameters to prognostic factors, using the Kruskal–Wallis and the Mann–Whitney tests, respectively. Results: From our ana…
Head direction signals during navigation: comparing movement and stationary periods: Poster
2021
Head direction signals during navigation: comparing movement and stationary periods: Oral presentation
2021
Spatial Cognition 2020/1: Book of abstracts : August 2-4, 2021, University of Latvia
2021
Spatial Cognition is concerned with the acquisition, development, representation, organization, and use of knowledge about spatial objects in real, virtual or hybrid environments and processed by human or artificial agents. Spatial Cognition includes research from different fields insofar as they are concerned with cognitive agents and space, such as cognitive and developmental psychology, linguistics, computer science, geography, cartography, philosophy, neuroscience, and education. Research issues in the field range from the investigation of human spatial cognition to mobile robot navigation, including topics such as wayfinding, spatial planning, spatial learning, internal and external re…
Quasi-Fractional Models of Human Tendons Hereditariness
2018
In this study, the authors, after collecting a series of experimental evidences following a creep and relaxation tendon campaign, propose a non-linear model of the viscoelastic behavior of the tendons. The ligaments investigated are the patellars and the hamstrings. The analytical model proposed by the authors aims to explain the non-linear hereditary behavior of these tissues and proposes an approach with which to develop a hereditary fractional-order non-linear model.
The effects of physiotherapy using proprioceptive neuromuscular facilitation techniques on the gait of patients after hip and knee arthroplasty: a ca…
2021
Background: Gait disturbances are a major problem for patients after arthroplasty. After the surgery, walking speed, the rhythm of locomotion, and the length of the steps are significantly reduced. One of the therapeutic methods used in gait re-education is proprioceptive neuromuscular facilitation (PNF). Aim of the study: This study aimed to evaluate the effects of physiotherapy using PNF techniques on the gait of patients after hip and knee arthroplasty. Case report: A 60-year-old woman with advanced osteoarthritis that received bilateral hip and right knee arthroplasties was examined. Before and after the therapy, the following tests were performed: measurement of the range of motion (RO…
El TDHA a través de narraciones ilustradas
2018
A través de esta propuesta pretendemos contribuir a la atención educativa de los alumnos de Educación Infantil que muestran un patrón conductual compatible con el diagnóstico del trastorno por déficit de atención con hiperactividad (TDAH), desde un enfoque preventivo, estimulando el análisis y la reflexión sobre determinados comportamientos mediante el género narrativo, por su valor educativo en esta etapa. Los alumnos de Educación Infantil se encuentran en un momento madurativo de fascinación natural hacia la escucha de narraciones. Presentamos una propuesta basada en narraciones ilustradas, ideadas y elaboradas por alumnos del Grado en Educación Infantil de la Universidad CEU Cardenal Her…
“Natural wages dynamics in a Ricardian growth model”
2006
Ricardian growth models are generally built on the assumption of a constant natural wage. Such an assumption conceals the fact that classical economists were aware that in growing economies workers' normal pattern of consumption steadily rise both in terms of quantity and quality. In the first part of the chapter we gather some classical hints on the relationship between economic growth and natural wages in order to provide a rational reconstruction of the classical point of view on natural wage dynamics. In the second part of the chapter we propose a formal analysis of the dynamics of a Ricardian model with endogenous natural wage
Noise effect in a FitzHugh-Nagumo circuit driven by a bichromatic signal
2013
We analyze the response of a nonlinear circuit exactly ruled by the FitzHugh-Nagumo equations. This circuit is submitted to a bichromatic signal including a high frequency and a low frequency. In absence of noise, we show that for an appropriate amplitude of the high frequency driving, the response of the circuit estimated at the low frequency can be optimized via the phenomenon of vibrational resonance. Next, we show that under certain conditions, noise can contribute to the effect of vibrational resonance. Colored noise is also considered. Our experimental results are confirmed by a numerical analysis.
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…