Modelling and Analysis of Recurrent Event Data with Multiple Causes

This thesis Entitled “modelling and analysis of recurrent event data with multiple causes.Survival data is a term used for describing data that measures the time to occurrence of an event.In survival studies, the time to occurrence of an event is generally referred to as lifetime.Recurrent event data are commonly encountered in longitudinal studies when individuals are followed to observe the repeated occurrences of certain events. In many practical situations, individuals under study are exposed to the failure due to more than one causes and the eventual failure can be attributed to exactly one of these causes.The proposed model was useful in real life situations to study the effect of covariates on recurrences of certain events due to different causes.In Chapter 3, an additive hazards model for gap time distributions of recurrent event data with multiple causes was introduced. The parameter estimation and asymptotic properties were discussed .In Chapter 4, a shared frailty model for the analysis of bivariate competing risks data was presented and the estimation procedures for shared gamma frailty model, without covariates and with covariates, using EM algorithm were discussed. In Chapter 6, two nonparametric estimators for bivariate survivor function of paired recurrent event data were developed. The asymptotic properties of the estimators were studied. The proposed estimators were applied to a real life data set. Simulation studies were carried out to find the efficiency of the proposed estimators.

MicroRNA–mRNA interaction network using TSK-type recurrent neural fuzzy network

MicroRNAs are short non-coding RNAs that can regulate gene expression during various crucial cell processes such as differentiation, proliferation and apoptosis. Changes in expression profiles of miRNA play an important role in the development of many cancers, including CRC. Therefore, the identification of cancer related miRNAs and their target genes are important for cancer biology research. In this paper, we applied TSK-type recurrent neural fuzzy network (TRNFN) to infer miRNA–mRNA association network from paired miRNA, mRNA expression profiles of CRC patients. We demonstrated that the method we proposed achieved good performance in recovering known experimentally verified miRNA–mRNA associations. Moreover, our approach proved successful in identifying 17 validated cancer miRNAs which are directly involved in the CRC related pathways. Targeting such miRNAs may help not only to prevent the recurrence of disease but also to control the growth of advanced metastatic tumors. Our regulatory modules provide valuable insights into the pathogenesis of cancer

Construction of recurrent fractal interpolation surfaces(RFISs) on rectangular grids

A recurrent iterated function system (RIFS) is a genaralization of an IFS and provides nonself-affine fractal sets which are closer to natural objects. In general, it's attractor is not a continuous surface in R3. A recurrent fractal interpolation surface (RFIS) is an attractor of RIFS which is a graph of bivariate continuous interpolation function. We introduce a general method of generating recurrent interpolation surface which are at- tractors of RIFSs about any data set on a grid.

Image compression predicated on recurrent iterated function systems

Recurrent iterated function systems (RIFSs) are improvements of iterated function systems (IFSs) using elements of the theory of Marcovian stochastic processes which can produce more natural looking images. We construct new RIFSs consisting substantially of a vertical contraction factor function and nonlinear transformations. These RIFSs are applied to image compression.

Using Recurrent Networks for Dimensionality Reduction

This report explores how recurrent neural networks can be exploited for learning high-dimensional mappings. Since recurrent networks are as powerful as Turing machines, an interesting question is how recurrent networks can be used to simplify the problem of learning from examples. The main problem with learning high-dimensional functions is the curse of dimensionality which roughly states that the number of examples needed to learn a function increases exponentially with input dimension. This thesis proposes a way of avoiding this problem by using a recurrent network to decompose a high-dimensional function into many lower dimensional functions connected in a feedback loop.

Exact Solution of the Nonlinear Dynamics of Recurrent Neural Mechanisms for Direction Selectivity

Different theoretical models have tried to investigate the feasibility of recurrent neural mechanisms for achieving direction selectivity in the visual cortex. The mathematical analysis of such models has been restricted so far to the case of purely linear networks. We present an exact analytical solution of the nonlinear dynamics of a class of direction selective recurrent neural models with threshold nonlinearity. Our mathematical analysis shows that such networks have form-stable stimulus-locked traveling pulse solutions that are appropriate for modeling the responses of direction selective cortical neurons. Our analysis shows also that the stability of such solutions can break down giving raise to a different class of solutions ("lurching activity waves") that are characterized by a specific spatio-temporal periodicity. These solutions cannot arise in models for direction selectivity with purely linear spatio-temporal filtering.

Frequency of Low-level Mosaicism in X-Cromosome in Couples with Antecedent of Recurrent Miscarriages

Recurrent miscarriage occurs in around 1 to 7 percent of couples. The etiology involves genetic, immunologic, anatomic, hormonal, metabolic, thrombophilic and infectious factors. With the aim of establishing the frequency of low-level mosaicism in the X-chromosome, in a population of couples with prior recurrent miscarriages, a prospective case-control cytogenetic study took place on 20 couples, at the biogenetic laboratory in CECOLFES (Colombian Center of Fertility and Sterility). Clinical pathologic evaluation, anatomic, hormonal, infectious, andrologic and genetic studies were performed. As a conventional method in cytogenetic techniques, banding GTG was used for the study of structural and numeric chromosomal abnormalities whereas the molecular method of Fluorescence In Situ Hybridization (FISH) was used to confirm the mosaicism in sexual chromosomes. According to paraclinic results from the participating couples, diagnosis showed immunologic (75%), anatomic (30%), hormonal (25%), male (25%), infectious (25%), genetic (15%) and idiophatic factors (10%). Results from the cytogenetic analysis, were 10% of low-level mosaicism in the X-chromosome in two women whose final diagnosis included genetic and infectious factors for one and genetic and immunologic factors for the other. Only 10 % of the total miscarriages from the couples were evaluated. Conclusions include aspects such as multifactorial evidence of pathogenesis in recurrent miscarriage, the sub-diagnosis of genetic factors and the need to focus future investigations on cytogenetic interpretation and the clinicalpathological association between low-level mosaicism in the X-cromosome and recurrent miscarriage.

Loss of nerve fiber layer in HIV positive patients and comparative patterns in a series of cases in Bucaramanga, Colombia

Objective: The objective of this study is to conduct a description of the features of optic neuropathy associated with Human Immunodeficiency Virus in relation to their possible incidence within our population, regarding that there is no data in our population in terms of frequency of this pathology (1,2). Methodology: Descriptive cross-sectional study of a clinical series of patients infected with human immunodeficiency virus, but AIDS, and the thickness of optic nerve´s layer of fibers studied with OCT technology (optical coherence tomography), patients were cited once captured. OCT was performed by the same observer, by taking 3 shots and picking the one with better reliability. Patients were given personally to the Ophthalmologic Foundation of Santander to conduct the review called OCT (optical coherence tomography). Results: In terms of viral load variable, we found a clear correlation in which validates the hypothesis that lower viral load means a thicker layer of fibers finding statistically significant differences for the 6 hours in right eye and 12 and 6 hours in left eye. Comparison between the known nomogram of fiber layer thickness for the population of Bucaramanga, Santander and thickness found in our sample, we note a clear decrease in the upper and lower quadrants, specifically in 7 hours and 11 hours, being more important in 7 hours, showing statistically significant differences. Conclusions: The pattern  of thinning of the nerve fiber layer in HIV positive patients without AIDS, and antiretroviral treatment type HAART, showed a statistically significant thinning targeted at 7 hours and 11 hours, being higher in first. Viral load figures have a direct relation with loss fiber layer, showing a statistically significant difference for the 6 and 12 hours.

Transcutaneous electrical nerve stimulation and primary dysmenorrhea: a case report

Primary dysmenorrhea is pelvic pain during the menstrual cycle. The A delta and C fibers aresensitized by the increased release of prostaglandins and leukotrienes, thus causing pain. TransElectric Nerve Stimulation (TENS) is a physiotherapeutic strategy that mitigatespain sensation. Objective: The aim of this paper is to present six cases of women in childbearingage who were diagnosed with primary dysmenorrhea and received transcutaneous electricnerve stimulation. Materials and methods: A type of study, case report, was conducted with sixwomen between 15 and 25 years of age with medical diagnosis of primary dysmenorrhea. Weassessed pain intensity utilizing the visual analogue pain scale and located the pain by usinga pain test map. Results: Pain intensity decreased in all treated women. Conclusion: Transcutaneouselectric nerve stimulation (TENS) is a physiotherapeutic strategy that mitigates painsensation. We conclude that high frequency TENSis a safe noninvasive modality to achievereduction of pain in primary dysmenorrhea.

Herniorrafia inguinal por laparoscopia, experiencia en hospital universitario mayor de febrero 2013 a febrero 2014

Los defectos herniarios inguinales son una condición con alta prevalencia en nuestra población. En los últimos años la introducción de la cirugía laparoscopia para la corrección de esta patología ha tomado fuerza gradualmente. El propósito del presente trabajo es describir la experiencia en el uso de esta técnica quirúrgica en una institución hospitalaria. Materiales y métodos: estudio descriptivo de corte trasversal en el cual se revisaron las historias clínica de cada uno de los sujetos llevados a herniorrafia inguinal laparoscópica, donde se evaluaron las características pre y postoperatorias de los casos, así como las complicaciones derivadas del procedimiento. Resultados: Se evaluaron un total de 250 pacientes para un total de 334 Herniorrafias. El promedio de edad fue 58,3 años. La relación hombre mujer fue 3,7: 1. Del total de procedimientos 168 correspondieron a defectos bilaterales. 32 pacientes tenían antecedentes de herniorrafia previa. Se presentaron un total de tres complicaciones. El promedio general de tiempo quirúrgico fue de 69,3 minutos. El seguimiento post operatorio evidencio al dolor inguinal agudo como el principal proceso patológico derivado. El promedio de tiempo de incapacidad en total fue 8,3 días. Se encontró reproducción de la hernia comprobado por ecografía en 10 pacientes. No se produjo ninguna mortalidad en los pacientes del estudio. Conclusiones: La corrección laparoscopia se ha convertido en una alternativa segura y eficiente en el tratamiento definitivo de los defectos herniarios inguinales y debe ser tenida en cuenta en el momento de seleccionar la vía de acceso.

Gerunda i els ausetans: una qüestió recurrent

Article que tracta del tema recurrent de la pertinença o no de Gerunda a la tribu ibèrica dels ausetans

Regenerative capabilities of the rat seventh nerve using suture and collagen splint techniques: a comparative study

This paper discusses the effectiveness of repair procedures on the rat facial nerve using the current clinical surgical procedure of suturing nerve ends and a proposed technique utilizing splints made of collagen.

Density of myelinated nerve fibers in the chinchilla cochlea

This paper reviews a study to obtain baseline values for the density of myelinated nerve fibers of the chinchilla cochlea.

Comparison of methods for enhancement of regeneration of the VII th nerve

This paper discusses a study to investigate the effectiveness of collagen splints for the enhancement of regeneration of the peripheral portion of the eighth nerve.

Eighth nerve degeneration in the deafness mouse

This paper discusses a study done to examine regeneration of spiral ganglion cells in the deafness mouse.