Sergio González García
Full Text Available Fundament: The proteolitic rupture of the extracellular matrix due to metalloproteinase 2 and 9 is one of the aspects that can influence in the alteration of the permeability of the blood-brain barrier (BBB in multiple sclerosis. Objective: To determine metalloproteinase activity with gelatinous activity in patients suffering from multiple sclerosis. Methods: the cerebrospinal fluid (CSF samples taken from 31 patients suffering from multiple sclerosis and a control group formed by 21 patients without neurological disease. The metalloproteinase 2 and 9 activities in the cerebrospinal fluid were determined by zimográfica technique through polyacrylamide gel electrophoresis. The bands were later analysed by their molecular weight and the relative metalloproteinase 9 activity was calculated. Total protein concentrations, albumin and immunoglobulin G (IgG, the IgG rate and the Q rate were assessed to evaluate the IgG intrathecal and the functional state of the blood-brain barrier. Results: metalloproteinase 2 activity was detected in the cerebrospinal fluid of all patients and control group. Metalloproteinase 9 activity was only found in the 61.3 % of the patients. The presence of relative metalloproteinase 9 activity was neither associated with the clinical variables nor the laboratory ones. An association was found between its presence and the oligoclonal bands in patients with multiple sclerosis. In those patients under immunomodular treatment it was presented with less frequency. Conclusions: There is a possible participation of Metalloproteinase 9 in the immunopathological mechanisms of the multiple sclerosis.
Fundamento: La ruptura proteolítica de la matriz extracelular por las metaloproteinasas 2 y 9 es uno de los aspectos que puede influir en la alteración de la permeabilidad de la barrera hematoencefálica en la esclerosis m
Full Text Available La esclerosis múltiple (EM ha sido considerada clásicamente como una enfermedad desmielinizante. Si bien el compromiso neurodegenerativo fue previamente descripto, sólo recientemente ha sido enfatizado. Por estudios recientes se ha identificado la degeneración axonal como el mayor determinante de discapacidad neurológica irreversible en pacientes con EM. El daño axonal se inicia tempranamente y permanece silente durante años, la discapacidad neurológica se desarrolla cuando se alcanza cierto umbral de pérdida axonal y los mecanismos de compensación se agotan. Se han propuesto tres hipótesis para explicar el daño axonal: 1 El daño es causado por un proceso inflamatorio, 2 Existe una excesiva acumulación de Ca2+ intraaxonal, 3 Los axones desmielinizados evolucionan a un proceso degenerativo producto de la falta de soporte trófico provisto por la mielina o células formadoras de mielina. Si bien la EM fue tradicionalmente considerada como una enfermedad de la sustancia blanca, el proceso de desmielinización también ocurre en la corteza cerebral. Las lesiones corticales muestran injuria neuronal representada por transección de axones y dendritas, así como apoptosis de neuronas. Dado que los métodos convencionales de resonancia magnética nuclear (RMN son limitados en su capacidad para brindar información sobre el compromiso axonal en EM, procedimientos como tensor de difusión, espectroscopia por resonancia magnética, resonancia magnética funcional, y nuevas técnicas para medir atrofia han sido desarrollados recientemente para monitorear su evolución. El reconocimiento de que EM es en parte un proceso neurodegenerativo impone abordar de manera crítica la patogenia de la enfermedad, a fin de considerar nuevas estrategias de tratamiento.The concept of multiple sclerosis (MS as a demyelinating disease is deeply ingrained. Although the existence of a neurodegenerative component has always been apparent, it has only recently
C. Arcos Sánchez
Full Text Available El conocimiento de la etiopatogenia y el pronóstico de la Esclerosis Múltiple (EM ha permitido desarrollar tratamientos nuevos y más eficaces. Las terapias actuales pueden dividirse en tres grandes grupos: los tratamientos del brote agudo, los modificadores del curso de la enfermedad y el tratamiento sintomático. Actualmente hay seis fármacos aprobados para el tratamiento de la EM en España, dos nuevos fármacos orales (Cladribina y Fingolimod y otros destinados a mejorar la calidad de vida de los pacientes (Fampridina y Sativex están pendientes de aprobación y varios en distintas fases de estudios clínicos que ofrecen perspectivas muy esperanzadoras.A best knowledge of etiopathogeny and prognosis of Multiple Sclerosis is allowing the development of new and more effective therapies. Current therapies are divided into three groups: treatments for the acute relapses, disease-modifying therapy and symptomatic treatment. There are six approved drugs available in Spain, also there are two oral new drugs (Cladribina and Fingolimod and others designed for improving the quality of life of these patients (Frampidina and Sativex waiting to be approved and some others in different stages of clinical trials that will offer encouraging perspectives in a near future.
C. Arcos Sánchez; F.T. Salinas Vela; M.N. Olmedilla González
El conocimiento de la etiopatogenia y el pronóstico de la Esclerosis Múltiple (EM) ha permitido desarrollar tratamientos nuevos y más eficaces. Las terapias actuales pueden dividirse en tres grandes grupos: los tratamientos del brote agudo, los modificadores del curso de la enfermedad y el tratamiento sintomático. Actualmente hay seis fármacos aprobados para el tratamiento de la EM en España, dos nuevos fármacos orales (Cladribina y Fingolimod) y otros destinados a mejorar la calidad de vida ...
Alegre Ayala, Jorge
Full Text Available RESUMENLas alteraciones cognitivas ocasionadas por la Esclerosis Múltiple (EM dificultan el desempeño ocupacional de estos pacientes. No existe un patrón específico de deterioro cognitivo aunque son comunes las afectaciones de la memoria, los procesos atencionales, la velocidad de procesamiento de la información, las funciones ejecutivas, la fluidez verbal y la capacidad visuoespacial. Pese a no ser tan conocidos como los problemas físicos, los déficit cognitivos provocan limitaciones en la capacidad de estas personas para realizar sus actividades de la vida diaria (AVD. El artículo muestra explicaciones sobre las principales alteraciones cognitivas de la enfermedad y ejemplos de actividades de la vida diaria dañadas por éstas. SUMMARY Cognitive impairments caused by Multiple Sclerosis make these patients´ occupational performance difficult. It is not exist a specific pattern of cognitive injury although they are usual the affections in memory, attention process, speed of information processing, executive functions, verbal fluency and visual and spatial skills. Though are not so known like physical problems, the cognitive deficits provokes limitations in the ability of these persons to realize their activities of daily living. Article shows explains about principal cognitive impairments and examples of damage in the activities of daily living caused by Multiple Sclerosis.
Full Text Available La esclerosis múltiple (EM o esclerosis en placas es la más común de las enfermedades inflamatorias desmielinizantes del SNC y el trastorno neurológico más incapacitante en los adultos jóvenes. Se caracteriza por la aparición de lesiones focales diseminadas en la sustancia blanca denominadas placas en las que lo más llamativo es la pérdida de la mielina (desmielinización con preservación relativa de los axones. Es infrecuente que esta enfermedad entre en el campo de investigación médico-forense, ya que, habitualmente, está bien diagnosticada clínicamente y en caso de tener interés la confirmación del diagnóstico post-mortem se realizaría una autopsia clínica. Presentamos los hallazgos neuropatológicos de una mujer de 47 años, en situación de invalidez (silla de ruedas por una EM de 17 años de evolución, que fallece como consecuencia de las quemaduras producidas por un incendio en el domicilio.The multiple sclerosis (MS or plaque sclerosis is the most frequent of the inflammatory demyelinating diseases of the SNC and the most incapacitating neurological disorder in young adults. It is characterized by the presence of focal an scattered lesions in the white matter called plaques in which the hallmark is the loss of myelin (demyelination with the preservation of axons. It is uncommon that this disorder enters in the medico-legal field because, in general, has a very good clinical diagnosis and in case of interest to confirm the post-mortem diagnosis a clinical autopsy would be performed. We present the neuropathological findings of a woman aged 47 years, handicapped (wheel's chair due to MS with a progression of 17 years, who died by burns in a house fire.
J. Lucena; M. Salguero; A. Rico; Blanco, M.; Marín, R; E. Barrero; F. Heredia
La esclerosis múltiple (EM) o esclerosis en placas es la más común de las enfermedades inflamatorias desmielinizantes del SNC y el trastorno neurológico más incapacitante en los adultos jóvenes. Se caracteriza por la aparición de lesiones focales diseminadas en la sustancia blanca denominadas placas en las que lo más llamativo es la pérdida de la mielina (desmielinización) con preservación relativa de los axones. Es infrecuente que esta enfermedad entre en el campo de investigación médico-for...
Mikhail Benet Rodríguez
Full Text Available
Background: Multiple sclerosis is a chronic demyelinated disease which constitutes de first cause of neurological handicaps in young adult patients and has no curative treatment. There are other options in which treatment of great importance can be applied for each of the so many symptoms that may appear. Objective: To show the insufficient utilization of symptomatic treatment in patients with multiple sclerosis. Methods: 47 patients were studied in a national consultation of multiple sclerosis in a two-year period. They were interviewed and examined. The data were collected in a survey and statistically processed opposing the specific signs and symptoms to the treatments used. Results: High percentages of patients with clinical manifestations and without the proper treatment for rigidity, weakness, ataxia, urinary retention and incontinence, sexual dysfunction, constipation, fatigue, pain and depression were found. Conclusions: It was already proved that there is an insufficient utilization of symptomatic treatment in patients suffering from multiple sclerosis.
Fundamento: La esclerosis múltiple es una enfermedad desmielinizante crónica que constituye la principal causa de invalidez neurológica del adulto joven y no tiene tratamiento curativo; existen otras opciones dentro de las cuales es muy importante el tratamiento de cada uno de los muchos síntomas que pueden presentarse. Objetivo: Demostrar la insuficiente utilización del tratamiento sintomático en pacientes con esclerosis múltiple. Métodos: Se estudiaron 47 pacientes recibidos en una consulta nacional de esclerosis múltiple, en un periodo de dos años. Se interrogaron y examinaron. Los datos fueron recogidos en una encuesta y procesados estadísticamente contraponiendo los síntomas y signos específicos a los tratamientos utilizados
Gian C. Navarro Chumbes
Full Text Available Enfermera de 34 años de edad que acude a la Unidad Médica de Valoración de Incapacidades del INSS (Instituto Nacional de Seguridad Social para valoración de Incapacidad Temporal (IT; diagnosticada de Esclerosis Múltiple (EM hace 10 años, presentó 6 brotes, por lo que requirió tratamiento con Acetato de Glatirámero y se le adaptó el puesto de trabajo. Actualmente tiene un EDSS (Expanded Disability Status Scale estimado de 1,0, y actualmente no está con tratamiento inmunomodulador. Este caso clínico lo que busca es conocer de qué manera se valora la incapacidad laboral en los casos de trabajadores que padecen de EM, asimismo cómo se determina el grado de menoscabo en función del EDSS y qué aspectos laborales son tomados en consideración.A 34-year old woman, nurse, who arrives to the Medical Assessment Disability Unit of SSNI (Social Security National Institute for to assess Temporary Disability (TD, she was diagnosed of Multiple Sclerosis (MS 10 years ago, she had 6 outbreaks and because of that she was treated with Glatiramer Acetate and also her workstation was adapted. At the moment she has an EDSS (Expanded Disability Status Scale of 1.0, and now she does not receive immunomodulator treatment. With this case report we want to know the way that labour disability is evaluated for workers that complain of MS, also how the damage degree is determined according to EDSS and what labour aspects are taken into consideration.
Juan Ignacio Rojas
Full Text Available La esclerosis múltiple (EM es una enfermedad inflamatoria autoinmune desmielinizante del sistema nervioso central (SNC. La mayoría de las enfermedades autoinmunes se originan por la activación anormal de la respuesta inflamatoria contra auto-antígenos (la mayoría de ellos desconocidos a la fecha como consecuencia de la pérdida de la tolerancia periférica. Las células T-regulatorias constituyen un grupo esencial de linfocitos T encargados del mantenimiento de la tolerancia periférica, la prevención de enfermedades autoinmunes y la limitación de enfermedades inflamatorias crónicas. Teniendo en cuenta la importancia de la tolerancia periférica, las células T-regulatorias serían componentes cruciales en el escenario fisiopatológico de los procesos autoinmunes, incluyendo la EM. El presente trabajo recopila los conocimientos actuales sobre la función de las células T-regulatorias en la EM, la enfermedad autoinmune desmielinizante del SNC más prevalente en los seres humanos.Multiple sclerosis (MS is an autoimmune inflammatory demyelinating disease of the central nervous system (CNS. Most of autoimmune diseases arise by an abnormal activation of the inflammatory response against self-antigens (most of them unknown up to date as a consequence of dysfunction in peripheral tolerance. Regulatory T-cells are essential for maintaining peripheral tolerance, preventing autoimmune diseases and limiting chronic inflammatory conditions. Based on that knowledge, T-regulatory cells have emerged as a key component of the physiopathology of autoimmune diseases including MS. This review compiles the current knowledge on the role and function of T-regulatory cells in MS, the most prevalent CNS autoimmune disease in humans.
Iglesias Rozas, José Rafael, 1942-
Resumen: La esclerosis múltiple (EM) es la causa más frecuente de alteraciones neurológicas en los adultos jóvenes y de mediana edad; constituye la causa más frecuente de enfermedad por alteración de la mielina en el SNC. El presente trabajo intenta repasar de manera resumida el desarrollo histórico de la EM como cuadro clínico, haciendo especial hincapié en sus características clínicas, a menudo contradictorios, de la enfermedad. Uno de los objetivos del presente trabajo...
Fundament: The proteolitic rupture of the extracellular matrix due to metalloproteinase 2 and 9 is one of the aspects that can influence in the alteration of the permeability of the blood-brain barrier (BBB) in multiple sclerosis. Objective: To determine metalloproteinase activity with gelatinous activity in patients suffering from multiple sclerosis. Methods: the cerebrospinal fluid (CSF) samples taken fro...
M.J. Mayorga Buiza
Full Text Available La Esclerosis Múltiple (EM, es una enfermedad del SNC siendo 2 veces más frecuente su aparición en mujeres, el 70% de ellas en edad fértil. Desde el punto de vista anestésico nos encontramos ante una enfermedad con elevada susceptibilidad neurológica que podría agravarse tanto por la propia cirugía, la técnica anestésica como por la medicación utilizada. Por otra parte se plantea como atender la demanda de analgesia para el trabajo de parto en mujeres con EM, que es el grupo de edad con mayor incidencia de la enfermedad. Presentamos el caso de una mujer de 37 años diagnosticada de esclerosis múltiples 3 años antes, forma recidivante, remitente. La paciente es ingresada en dilatación con 37 semanas de amenorrea, presentando una buena evolución del trabajo de parto y encontrándose el feto en situación longitudinal y presentación cefálica. Avisan al Servicio de Anestesia para valoración de la indicación de epidural para analgesia del parto. La gestante previamente había acudido a consulta de preanestesia donde se le había informado del riesgo beneficio de la técnica y en concreto en su caso, habiendo entendido perfectamente las posibles complicaciones derivadas de la misma y firmado el consentimiento informado. Nosotros hemos preferido utilizar una técnica locoregional, vía epidural considerando también el riesgo potencial de cesárea urgente, para evitar, dado el caso la realización de una técnica intraraquídea o una anestesia general, con las posibilidades de desencadenar un brote que tienen estas técnicas. Además de aportar confort a la paciente durante el trabajo de parto, proporcionar analgesia durante el mismo, disminuye por este motivo el estrés de la gestante pudiendo paralelamente evitar la aparición de un brote.Multiple sclerosis (MS is a disease of the central nervous system (CNS, and twice as prevalent in women, 70% of whom are of fertile age. From an anaesthetics point of view, due to it being a
Gian C. Navarro Chumbes; Marina Fernández Escribano; Ignacio Sánchez-Arcilla Conejo
Enfermera de 34 años de edad que acude a la Unidad Médica de Valoración de Incapacidades del INSS (Instituto Nacional de Seguridad Social) para valoración de Incapacidad Temporal (IT); diagnosticada de Esclerosis Múltiple (EM) hace 10 años, presentó 6 brotes, por lo que requirió tratamiento con Acetato de Glatirámero y se le adaptó el puesto de trabajo. Actualmente tiene un EDSS (Expanded Disability Status Scale) estimado de 1,0, y actualmente no está con tratamiento inmunomodulador. Este cas...
Alegre Ayala, Jorge
RESUMENLas alteraciones cognitivas ocasionadas por la Esclerosis Múltiple (EM) dificultan el desempeño ocupacional de estos pacientes. No existe un patrón específico de deterioro cognitivo aunque son comunes las afectaciones de la memoria, los procesos atencionales, la velocidad de procesamiento de la información, las funciones ejecutivas, la fluidez verbal y la capacidad visuoespacial. Pese a no ser tan conocidos como los problemas físicos, los déficit cognitivos provocan limitaciones en la ...
Hailen Bobillo López
recombinant was safe in the treatment of the multiple sclerosis in these patients.
Fundamento: El interferón alfa 2b recombinante, de producción nacional, se utiliza en el tratamiento de diferentes enfermedades, entre ellas la esclerosis múltiple. Para su comercialización se necesita conocer su margen de seguridad. Objetivo: Evaluar las reacciones adversas del interferón alfa 2b recombinante en el tratamiento de la esclerosis múltiple. Método: Durante el período comprendido entre 1996 y 2006, se revisaron las 70 historias clínicas y cuadernos de recogida de datos de los pacientes incluidos en el ensayo clínico nacional, fase IV aleatorizado, a doble ciegas, desarrollado en la Clínica de Esclerosis Múltiple del Hospital ¨Dr. Gustavo Aldereguía Lima¨ de Cienfuegos. Con respecto al total de reacciones adversas manifestadas, se analizó tipo, tiempo de duración, empleo de tratamiento o no para contrarrestarlas, grado de intensidad (leve, moderada, grave o mortal y de causalidad (definitiva, probable, posible, condicional o no relacionada. Resultados: Del total de pacientes, 53 presentaron 207 reacciones adversas al interferón. Las más frecuentes fueron: fiebre, cefalea, escalofríos, artralgia, astenia y mialgia, siendo la mayoría efectos colaterales moderados y de carácter definitivo. En 197 pacientes el desenlace fue favorable. Conclusiones: El uso del interferón alfa 2β recombinante fue seguro en el tratamiento de la esclerosis múltiple en estos pacientes.
Descubriendo el significado de los fenómenos cronicidad, progresión y singularidad en el diagnóstico de la esclerosis múltiple Discovering the meaning of the phenomena of chronic disease, progression and singularity in the multiple sclerosis diagnosis
Virginia Salinas Pérez
Full Text Available Justificación: Los pacientes asignarán un significado a fenómenos que definen la enfermedad en su vivencia ante el diagnóstico. Objetivo: Describir qué significa para los pacientes los fenómenos de cronicidad, singularidad y progresión en el diagnóstico de esclerosis múltiple. Metodología: cualitativa fenomenológica descriptiva. Muestreo intencional en 13 participantes. Se realizó entrevistas en profundidad con guión semi-estructurado y análisis de contenido según método de Taylor-Bogdan. Resultados: El fenómeno crónico desde la esperanza en la investigación y el tándem brote-recaída-degenerativo como amenaza real. Los pacientes necesitan información veraz y positiva en el diagnóstico. Conclusiones: El fenómeno crónico está relacionado con la capacidad previa de ser sano con sentimientos de tristeza e impotencia. Entienden la progresión como degeneración con miedo e incertidumbre de futuro. La esclerosis múltiple es una enfermedad desconocida en el diagnóstico y la califican de extraña o diferente para cada uno.Justification: The patients will assign a meaning and significance to define the disease in their experience about the diagnosis. Aim: Describe what it means for a person the phenomena of chronic disease, singularity and progression as a result of the multiple sclerosis diagnosis. Method: Qualitative methodology with phenomenological descriptive approach. It used intentional sampling up to thirteen participants. They were deeply interviewed with a half-organized outline and it carried out content analysis according to the Taylor-Bogdan method. Results: The chronic phenomenon in the hope in the research and the attack-relapse-degenerative tandem is a real threat. The patients need a truthful and positive information in the diagnosis. Conclusions: The chronic phenomenon is related to the previous capacity of being healthy with the feelings of sadness and impotence. They understand the progression like
Seasonal distribution and evolving forms of multiple sclerosis patients diagnosed from April 2004 to November 2007 Distribución estacional y formas evolutivas de esclerosis múltiple en pacientes diagnosticados entre Abril del 2004 y Noviembre del 2007
Full Text Available BACKGROUND: Multiple sclerosis (MS was first reported in Cuba in 1965. The most frequent appearance is observed in the first six months of the year. OBJECTIVE: To determine the seasonal distribution and evolving forms of MS patients diagnosed with the disease between April 2004 and November 2007. METHOD: Twenty-one patients with suspected MS and 42 outbreaks were studied. Patients were classified according to Lublin and Revingold's criteria for clinical forms and according to McDonald. RESULTS: Most patients were classified in outbreak and remission and only two patients classified as primary-progressive multiple sclerosis. The higher number of outbreaks occurred in the first two quarters of the year. CONCLUSION: It is recommended to study further weather variables that may be related to the emergence of these outbreaks in our environment.INTRODUCCIÓN: La esclerosis múltiple (EM fue reportada en Cuba por primera vez en 1965. Se ha venido observando la aparición más frecuente en los primeros seis meses del año. OBJETIVO: Determinar la distribución estacional y formas evolutivas de EM en pacientes con diagnóstico de esta enfermedad entre abril 2004 y noviembre 2007. MÉTODO: Se estudiaron 21 pacientes con sospecha de EM y un total de 42 brotes. Los pacientes fueron clasificados según los criterios de Lublin y Revingold para las formas evolutivas y según los criterios de McDonald. RESULTADOS: Solo dos pacientes clasificaron en la forma evolutiva progresiva primaria; los primeros dos trimestres del año fueron los de mayor número de brotes. CONCLUSIÓN: Se recomienda profundizar en las variables climatológicas que pudieran tener vínculo con la aparición de estos brotes en nuestro medio.
Grebenkov, Denis S.
The multiple correlation function approach is briefly presented and applied to investigate spin-echo signal attenuation due to restricted diffusion in simple geometries (slab, cylinder, and sphere) in the presence of surface relaxation. Exact and explicit representations for the zeroth and second moments of the total phase accumulated by diffusing spins are derived by using the Laplace transform summation technique. Within the Gaussian phrase approximation, these two moments determine the ...
Full Text Available INTRODUCTION: Multiple sclerosis (MS is a chronic, inflammatory and progressive disease of the central nervous system in which local inflammatory injuries of the brain white matter appears, being the most outstanding feature the myeline loss (demyelination. OBJECTIVE: To determine if the complement system might be involved in the MS immunopathogeny favouring the mechanism intervening in the myelin destruction. METHOD: Samples of sera and CSF from twelve patients with a diagnosis of MS obtained at the moment of the admission to the hospital at the beginning of the break out, were collected. Levels of C3c and albumin in sera and in CSF were quantified using radial immunodiffusion plates. RESULTS: High values over 80% of intrathecal synthesis were obtained except in one of the patients. CONCLUSION: Intrathecal synthesis of C3c and its liberation to the CSF means that the activation of the complement system in any of the two ways has taken place, and that once performed its biological functions, has suffered a degradation process.INTRODUCCIÓN: La esclerosis múltiple (EM es una enfermedad crónica, inflamatoria y progresiva del sistema nervioso central que cursa con la aparición de lesiones inflamatorias focales en la sustancia blanca cerebral, en las que lo más llamativo es la pérdida de mielina (desmielinización. OBJETIVO: Conocer si el sistema de complemento puede estar involucrado en la inmunopatogenia de la EM favoreciendo los mecanismos que median la destrucción de la mielina. MÉTODO: Se colectaron muestras de suero y LCR de doce pacientes con diagnóstico de EM obtenidas en el momento del ingreso al inicio del brote. Se cuantificaron los niveles de C3c y albúmina en suero y en LCR en placas de inmunodifusión radial. RESULTADOS: Se obtuvieron altos valores que superan el 80% de síntesis intratecal, menos en uno de los pacientes. CONCLUSION: La síntesis intratecal de C3c y su liberación al LCR significa que ha sucedido la activaci
Adverse Reactions due to the Usage Ofadverse Effects due to the Usage of T biomodulina and corticotropin in Patients Suffering from Multiple Sclerosis Efectos adversos por el uso de la biomodulina T y la corticotropina en pacientes con esclerosis múltiple
Lorenzo Gómez Morales
Full Text Available Background: T biomodulina is a thymic natural product with anti-inflammatory and immunomodulator action. Corticotropin is a steroid which is also used in the treatment of multiple sclerosis. Objetives: To compare the adverse effects of the biomodulina and corticotroprin in the treatment of multiple sclerosis. Methods: Phase II clinical trial, open, randomized and controlled on 17 patients suffering from multiple sclerosis to whom the following treatment was applied: group one, 100mg IV biomodulina during 10 days, 20 mg the following 20 days; group two: 1 mg of corticotroprin during 10 days followed by 0,5 mg the very next 20 days. The adverse events were evaluated from the 10th day up to the 30th day classifying its intensity as absent, mild, moderate, severe, very severe. The duration and the type of event were also classified. Results: Safeness on 8 patients treated with biomodulina and 7 patients treated with cortcotropin were assessed. 40 adverse events took place: 24 patients in whose corticotropin was used, 16 in the treatment with biomodulina (80 and 53, 3% respectively, while the moderate adverse reactions in the usage of corticotropin were more frequent. The shorter period of time of the events was produced by biomodulina. Conclusions: The usage of biomodulina was safer in the treatment of multiple sclerosis because the adverse events as well as the period of time were less intense.
Fundamento: La biomodulina T es unproducto natural tímico con acciónantinflamatoria y acción inmunomoduladora. La corticotropina es un esteroide utilizado también en el tratamiento de la esclerosis múltiple. Objetivo: Comparar el comportamiento de efectos adversos de la biomodulina y la corticotropina en el tratamiento de la esclerosis múltiple. Métodos: Ensayo clínico fase II, abierto
Francisco J Quintana
Full Text Available La esclerosis múltiple es una enfermedad inflamatoria desmielinizante que afecta el sistema nervioso central y que es considerada una de las principales causas de discapacidad en jóvenes adultos. Las causas de la esclerosis múltiple son aún desconocidas, aunque se cree que una combinación de factores genéticos y ambientales resulta en una respuesta autoinmune que promueve la degeneración neuronal/axonal. En esta revisión se analiza la asociación entre la respuesta inmune y la neurodegeneración en la esclerosis múltiple.
Sousa, L.; Sa, J.; Sa, M.; Cerqueira, J; Martins-Silva, A.
Introduccion. Los estudios han demostrado que el natalizumab constituye un tratamiento eficaz contra la esclerosis multiple remitente recurrente (EMRR). Hasta la fecha, no habia datos de pacientes portugueses. Objetivo. Determinar la eficacia y la seguridad del natalizumab en pacientes con EMRR atendidos en la practica clinica ordinaria en Portugal. Pacientes y metodos. Los datos clinicos de adultos con EMRR tratados con natalizumab en centros especializados de neurologia en Portugal ...
Anestesia subaracnóidea para cesariana em paciente portadora de esclerose múltipla: relato de caso Anestesia subaracnoidea para cesárea en paciente portadora de esclerosis múltiple: relato de caso Subarachnoid anesthesia for cesarean section in a patient with multiple sclerosis: case report
Fabiano Timbó Barbosa
ón de cesárea. Después de la monitorización se realizó anestesia subaracnoidea con bupivacaína a 0,5% hiperbara (12,5 mg asociada a la morfina (0,1 mg. El procedimiento evolucionó sin interferencias y la paciente recibió su alta hospitalaria 48 horas después del parto sin empeoramiento de los síntomas preexistentes. CONCLUSIONES: El presente caso nos sugiere que la anestesia raquidea puede ser administrada en paciente portador de esclerosis múltiple sin la incidencia obligatoria de exacerbaciones agudas de los síntomas en el período postoperatorio.BACKGROUND AND OBJECTIVES: Multiple sclerosis is an acquired disease characterized by demyelinated areas in the brain and spinal cord. The clinical presentation depends on the anatomical areas involved. The main causes of death are infection, respiratory failure, and status epilepticus. It affects genetically predisposed patients after contact with environmental factors, especially viruses. The objective of this report was to present the anesthetic technique used in a patient with multiple sclerosis undergoing cesarean section. CASE REPORT: A 32-year old patient, 60 kg, with multiple sclerosis, treated with methylprednisolone, was admitted to the obstetric ward for a cesarean section. After monitoring, subarachnoid anesthesia was performed with 0.5% hyperbaric bupivacaine (12.5 mg associated with morphine (0.1 mg. The procedure evolved without any intercurrences and the patient was discharged from the hospital 48 hours after delivery without worsening of her symptoms. CONCLUSIONS: This case suggests that spinal anesthesia can be administered in patients with multiple sclerosis without the acute worsening of their symptoms in the postoperative period.
Quintana, Francisco J.; Soledad Pérez-Sánchez; Farez, Mauricio F
La esclerosis múltiple es una enfermedad inflamatoria desmielinizante que afecta el sistema nervioso central y que es considerada una de las principales causas de discapacidad en jóvenes adultos. Las causas de la esclerosis múltiple son aún desconocidas, aunque se cree que una combinación de factores genéticos y ambientales resulta en una respuesta autoinmune que promueve la degeneración neuronal/axonal. En esta revisión se analiza la asociación entre la respuesta inmune y la neurodegeneració...
Is tumor necrosis factor - 376a promoter polymorphism associated with susceptibility to multiple sclerosis? ¿El polimorfismo-376A del promotor del gen del factor de necrosis tumoral se asocia con una mayor susceptibilidad a padecer esclerosis múltiple?
Marcelo A. Kauffman
Full Text Available A single nucleotide polymorphism (SNP at position -376 of the tumor necrosis factor á gene (TNFA has been associated with susceptibility to multiple sclerosis (MS in Spain. However, no association was found in populations from the USA and The Netherlands. Here we investigate the association between the TNFA - 376A SNP and MS susceptibility in Argentinean patients with MS. The A/G genotype was found in 4.4% of patients (n=90 and in 4.8% of healthy individuals (n=84; p=0.92; odds ratio=0.93; confidence interval: 0.23- 3.84. Thus, no significant differences in genotype and allele frequencies were found between healthy individuals and patients with MS in Argentina.Un polimorfismo de nucleótido único (SNP, por sus iniciales en inglés en la posición -376 del gen codificante del factor de necrosis tumoral á (TNFA ha sido asociado en España con un mayor riesgo a padecer esclerosis múltiple (EM. Sin embargo, esta asociación no fue encontrada en estudios hechos en poblaciones provenientes de los EE.UU. y Holanda. Aquí investigamos la asociación entre el SNP TNFA -376A y el desarrollo de EM en una población de pacientes argentinos con EM. El genotipo A/G fue encontrado en 4.4% de los pacientes (n=90 y en 4.8% de los controles sanos (n=84; p=0.92; odds ratio=0.93; intervalo de confianza: 0.23-3.84. En consecuencia, no encontramos diferencias en las frecuencias alélicas y genotípicas entre los sujetos enfermos y los controles sanos en Argentina.
Las variables meteorológicas no explican el gradiente norte-sur en la mortalidad por esclerosis múltiple en España Meteorological variables do not explain the North-South gradient in mortality from multiple sclerosis in Spain
Full Text Available Objetivo: Comprobar si las variables meteorológicas justifican el gradiente norte-sur en la mortalidad por esclerosis múltiple (EM en España. Métodos: La tasa de mortalidad por EM ajustada por edad en cada provincia de 1975 a 1998 se correlacionó con la media anual de diferentes variables meteorológicas. Resultados: Las temperaturas mínima, media y máxima, el número medio de horas de sol y el número de días soleados se correlacionaron negativamente con la mortalidad por EM, mientras que la cantidad de lluvia se correlacionó positivamente con la EM. La mayor parte de las correlaciones desaparecen al ajustar por latitud. En cambio, la mortalidad por EM está asociada con la latitud incluso después de ajustar por los factores meteorológicos. Conclusión: El gradiente norte-sur en la mortalidad por EM en España no puede explicarse completamente por factores meteorológicos. Son necesarias otras hipótesis para justicar esta asociación.Objectives: To determine whether weather conditions explain the North-South gradient in multiple sclerosis (MS mortality described in Spain. Methods: The age-adjusted MS mortality rate by Spanish provinces from 1975 to 1998 was correlated with several climatic variables. Results: MS mortality was negatively correlated with minimum, average and maximum temperatures, the mean number of hours of sunshine, and the mean number of sunny days. A positive correlation was found with the average amount of rain. Most correlations disappeared after adjusting by latitude. However, MS mortality was associated with latitude after adjusting by climatic factors. Conclusions: The North-South gradient in MS mortality in Spain cannot be fully explained by weather differences. Therefore, other hypotheses are required to explain this association.
JUAN F. GODOY; Muela Martínez, José Antonio; Pérez, Miguel
El principal objetivo de este trabajo fue evaluar posibles alteraciones emocionales consecuentes o asociadas a la Esclerosis Múltiple. Se obtuvieron diferencias estadísticamente significativas entre grupos en la medida de autoeficacia social y clínicamente relevantes en depresión, ansiedad-rasgo y autoeficacia total.
Dos estudios epidemiológicos de esclerosis múltiple (EM) la describen como de bajo riesgo en Colombia. Hay, sin embargo, nuevos sistemas de información que permiten una aproximación más precisa. El objetivo de este artículo es estimar la prevalencia nacional de EM, así como por regiones del país, y analizar los costos de los fármacos usados en Colombia.
Mikhail Benet Rodríguez; Erélido Hernández Valero
Background: Multiple sclerosis is a chronic demyelinated disease which constitutes de first cause of neurological handicaps in young adult patients and has no curative treatment. There are other options in which treatment of great importance can be applied for each of the so many symptoms that may appear. Objective: To show the insufficient utilization of symptomatic treatment in patients with multiple sclerosis.
Perfil descritivo de esclerose múltipla com início até os 16 anos nos pacientes de um centro de referência do estado de São Paulo Perfil descriptivo de esclerosis múltiple con inicio hasta los 16 años de edad en los pacientes del centro de referencia del litoral de la provincia de São Paulo Descriptive profile of multiple sclerosis starting until the age of 16 in the reference center of the state of São Paulo
Yára Dadalti Fragoso
Full Text Available OBJETIVO: Descrever o perfil de pacientes com esclerose múltipla iniciada até os 16 anos de idade no litoral do estado de São Paulo, Brasil. DESCRIÇÃO DOS CASOS: Análise retrospectiva das características dos pacientes que tiveram o episódio inicial de esclerose múltipla até os 16 anos. Nesta situação encontravam-se nove meninas e quatro meninos (7,1% da população total de esclerose múltipla da região. A idade média por ocasião do diagnóstico foi de 13,9 anos (variação entre 8 e 16, sendo a média atual de 19,5 anos (12 a 28. A apresentação inicial da doença foi: ataxia (quatro casos, neurite óptica (dois, motora cortical (dois, sensitiva cortical (dois, distonia (dois e esclerose múltipla medular (um. Todos os pacientes iniciaram com a forma remitente-recorrente da esclerose múltipla e dois deles, atualmente, apresentam a forma progressiva secundária. COMENTÁRIOS: A esclerose múltipla com início até os 16 anos precisa ser adequadamente registrada e discutida entre pediatras, neurologistas e neuropediatras. Poucos médicos têm bom conhecimento desta condição e a demora no diagnóstico e no tratamento pode ter consequências devastadoras para essas crianças e adolescentes.OBJETIVO: Describir el perfil de los pacientes con esclerosis múltiple iniciada hasta los 16 años de edad, en la región del litoral de la provincia de São Paulo, Brasil. DESCRIPCIÓN DE LOS CASOS: Análisis retrospectivo, a partir de los registros médicos, de las características de los pacientes que tuvieron episodio inicial de esclerosis multiple hasta los 16 años de edad. Fueron nueve muchachas y cuatro muchachos en esta situación (7,1% de la población total de esclerosis multiple en la región. El promedio de edad en el momento del diagnóstico fue de 13,9 años (variación 8-16, siendo el promedio de edad actual de 19,5 años (12-28. La presentación inicial de la enfermedad fue ataxia (4 casos, neuritis óptica (2 casos, motora
Las variables meteorológicas no explican el gradiente norte-sur en la mortalidad por esclerosis múltiple en España Meteorological variables do not explain the North-South gradient in mortality from multiple sclerosis in Spain
Dolores Prieto-Salceda; Paula Guerrero-Alonso; Javier Llorca
Objetivo: Comprobar si las variables meteorológicas justifican el gradiente norte-sur en la mortalidad por esclerosis múltiple (EM) en España. Métodos: La tasa de mortalidad por EM ajustada por edad en cada provincia de 1975 a 1998 se correlacionó con la media anual de diferentes variables meteorológicas. Resultados: Las temperaturas mínima, media y máxima, el número medio de horas de sol y el número de días soleados se correlacionaron negativamente con la mortalidad por EM, mientras que la c...
Descubriendo el significado de los fenómenos cronicidad, progresión y singularidad en el diagnóstico de la esclerosis múltiple Discovering the meaning of the phenomena of chronic disease, progression and singularity in the multiple sclerosis diagnosis
Virginia Salinas Pérez; Petra Rogero Anaya; Ana Mª Oña González; María Luisa Vergara Carrasco
Justificación: Los pacientes asignarán un significado a fenómenos que definen la enfermedad en su vivencia ante el diagnóstico. Objetivo: Describir qué significa para los pacientes los fenómenos de cronicidad, singularidad y progresión en el diagnóstico de esclerosis múltiple. Metodología: cualitativa fenomenológica descriptiva. Muestreo intencional en 13 participantes. Se realizó entrevistas en profundidad con guión semi-estructurado y análisis de contenido según método de Taylor-Bogdan. Res...
Federación Española para la Lucha contra la Esclerosis Múltiple
Según muestran datos recientes , en Europa hay unas 600.000 personas afectadas por la esclerosis múltiple y en España cerca de 45.000 , la mayoría mujeres . Esta enfermedad neurodegenerativa - de origen hasta ahora desconocido aunque se relaciona con mecanismos de autoinmunidad- provoca lesiones desmielinizantes e importantes alteraciones en el sistema nervioso central siendo , tras la epilepsia, la segunda enfermedad neurológica más frecuente entre los jóvenes.Los síntomas más fre...
Este estudio es una revisión amplia sobre los diferentes campos que integra la Esclerosis Múltiple con el fin de recopilar datos sobre el funcionamiento neuropsicológico de la enfermedad. Desarrollo. Las funciones neuropsicológicas más frecuentemente afectadas son la atención, la velocidad de procesamiento, la memoria de trabajo, la memoria verbal y visuoespacial, así como las funciones ejecutivas. A lo largo del tiempo se han ido creando varias baterías desarrolladas para valorar este deteri...
Efeito da equoterapia na estabilidade postural de portadores de esclerose múltipla: estudo preliminar Efecto de la hipoterapia en la estabilidad postural de portadores de esclerosis múltiple: estudio preliminar Effect of hippotherapy on the postural stability of patients with multiple sclerosis: a preliminary study
Karla Mendonça Menezes
Full Text Available OBJETIVO: Este estudo se propôs a verificar se a estimulação por meio da equoterapia é capaz de desencadear alterações no controle postural de portadores de esclerose múltipla (EM. MÉTODO: Fizeram parte deste estudo 11 portadores de EM divididos em Grupo Intervenção (GI e Grupo Controle (GC. O GI foi inserido num programa de hipoterapia durante 4 meses, sendo conduzidas 2 sessões semanais com duração de 50 minutos cada. A estabilidade postural foi avaliada utilizando uma plataforma de força (para calcular o deslocamento do centro de pressão (COP, durante 30 segundos, em postura ereta quasi-estática, com olhos abertos e fechados, antes e após o treinamento com equoterapia. O tratamento estatístico foi feito através do ANOVA e Post hoc de Tukey com pOBJETIVO: El objetivo de éste estudio fue identificar los efectos de la hipoterapia sobre el control postural en pacientes con esclerosis múltiple (EM. MÉTODO: Hicieron parte de este estudio 11 portadores de EM divididos en Grupo Intervención (GI y Grupo Control (GC. El GI fue insertado en un programa de hipoterapia durante cuatro meses, siendo realizadas dos sesiones semanales con duración de 50 minutos cada una. La estabilidad postural fue evaluada utilizando una plataforma de fuerza (para calcular el desplazamiento del centro de presión (COP, durante 30 segundos en postura erecta casi-estática, con ojos abiertos y cerrados, antes y después del entrenamiento con hipoterapia. El tratamiento estadístico fue realizado a través de ANOVA y Post hoc de Tukey con pOBJECTIVE: This study intended to identify the effects of hippotherapy on the postural control of multiple sclerosis (MS patients. METHODS: Eleven MS patients were separated into two groups: Intervention Group (IG and Control Group (CG. Hippotherapy consisted of two 50-minute sessions each week for four months. Postural stability was evaluated before and after hippotherapy using a force plate to calculate the center of
Programa piloto para pacientes beneficiarios de Fonasa, que padecen Esclerosis Multiple: Tratamiento con Inmunomoduladores en el Sistema Público de Salud de Chile. Informe del primer año, 10 de julio 2008-30 de Junio 2009 Pilot national treatment program for Multiple Sclerosis patients belonging to the public health care system of Chile (FONASA) with immunomodulating disease-modifying therapies: First year report from July 2008 to June 2009
Jorge Nogales-Gaete; Rodrigo Aracena C; Paula Agurto M; Sergio Cepeda Z; Claudia Figueroa; Carola González E; Dolores Tohá T; Soledad del Campo U; Rodrigo Salinas R; Verónica Medina U; David Sáez M; Rene Meza E; Alfonso Riquelme G; Gonzalo Arcos-Bustos; María Cristina Martínez T
Introducción El presente documento corresponde al informe del primer año de trabajo operativo del "Programa piloto de tratamiento con inmunomoduladores, para pacientes beneficiarios de Fonasa1, que padecen esclerosis múltiple (EM)", elaborado por el equipo del centro de referencia nacional, para este programa, con sede en el Servicio de Neurología del Complejo Asistencial Barros Luco (CABL) del SSMS2. Dado su origen no incluye antecedentes del proceso de gestión ni toma de decisiones del nive...
Multiple sclerosis is an autoimmune, inflammatory and desmyelinization disease central nervous system (CNS) of unknown etiology and critical evolution. There different etiological hypotheses talking of a close interrelation among predisposing genetic factors and dissimilar environmental factors, able to give raise to autoimmune response at central nervous system level. Hypothesis of autoimmune pathogeny is based on study of experimental models, and findings in biopsies of affected patients by disease. Accumulative data report that the oxidative stress plays a main role in pathogenesis of multiple sclerosis. Oxygen reactive species generated by macrophages has been involved as mediators of demyelinization and of axon damage, in experimental autoimmune encephalomyelitis and strictly in multiple sclerosis. Disease diagnosis is difficult because of there is not a confirmatory unique test. Management of it covers the treatment of acute relapses, disease modification, and symptoms management. These features require an individualized approach, base on evolution of this affection, and tolerability of treatments. In addition to diet, among non-pharmacologic treatments for multiple sclerosis it is recommended physical therapy. Besides, some clinical assays have been performed in which we used natural extracts, nutrition supplements, and other agents with promising results. Pharmacology allowed neurologists with a broad array of proved effectiveness drugs; however, results of research laboratories in past years make probable that therapeutical possibilities increase notably in future. (Author)
learning. The underlying question is `How should we partition the system - what is `local'?'. This book presents alternative ways of bringing submodels together,which lead to varying levels of performance and insight. Some are further developed for autonomous learning of parameters from data, while others...... into multiple smaller operating regimes each of which is associated a locally valid model orcontroller. This can often give a simplified and transparent nonlinear model or control representation. In addition, the local approach has computationaladvantages, it lends itself to adaptation and learning...
Antolín Lobo, Irene
La Esclerosis Múltiple es una enfermedad inflamatoria desmielinizante crónica, de etiología desconocida, caracterizada por el ataque del propio sistema inmunitario al Sistema Nervioso Central. Esta revisión bibliográfica descriptiva, se centra en el estudio de diferentes variables que actúan como factores de riesgo influyentes en el inicio y desarrollo de la enfermedad. Se decidió realizar esta investigación, por ser la Esclerosis Múltiple una de las principales causas de disca...
Oliva Nacarino, Pedro
La esclerosis múltiple es una enfermedad crónica del sistema nervioso central que tiene un presumible origen autoinmune. Generalmente se inicia en pacientes jóvenes, condicionando con el tiempo en muchos de los casos una relevante discapacidad. Un capítulo importante en los trabajos realizados en la esclerosis múltiple es el centrado en la búsqueda de nuevos biomarcadores en el diagnóstico, pronóstico y en la medici respuesta terapéutica. En los últimos años se ha estudiado el papel desta...
Borjabad Cuesta, Belén
La esclerosis múltiple es un trastorno crónico desmielinizante que constituye un importante problema de salud pública, ya que es una enfermedad progresiva e incapacitante, de gran impacto laboral, familiar, social y económico. Se pretende dar a conocer la enfermedad haciendo hincapié en los cuidados que se han de ofrecer a estos pacientes para mejorar su calidad de vida. El paciente de esclerosis múltiple necesita ser cuidado de forma integral por el profesional de enfermería, debido a su exp...
Nieto Guindo, Pablo
Objetivos: Caracterizar el estado nutricional y la calidad de vida en pacientes de Esclerosis Múltiple (EM), y su relación con el grado de discapacidad física. Material y Métodos: Se realizó un estudio de tipo descriptivo y transversal, en el que se incluyeron 31 pacientes diagnosticados de Esclerosis Múltiple. Dichos pacientes pertenecían al Centro Integral de Enfermedades Neurológicas de la ciudad de Albacete o a la Asociación de Esclerosis Múltiple de Almería. Para la caracterizac...
Juang, C. H.; Huang, X. H.; Fleming, J. W.
This paper presents a new computational approach for performing fuzzy regression. In contrast to Bardossy's approach, the new approach, while dealing with fuzzy variables, closely follows the conventional regression technique. In this approach, treatment of fuzzy input is more 'computational' than 'symbolic.' The following sections first outline the formulation of the new approach, then deal with the implementation and computational scheme, and this is followed by examples to illustrate the new procedure.
Fausto Bonacina; Marco D'Errico; Enrico Moretto; Silvana Stefani; Anna Torriero
In this work, we consider Corporate Governance (CG) ties among companies from a multiple network perspective. Such a structure naturally arises from the close interrelation between the Shareholding Network (SH) and the Board of Directors network (BD). In order to capture the simultaneous effects of both networks on CG, we propose to model the CG multiple network structure via tensor analysis. In particular, we consider the TOPHITS model, based on the PARAFAC tensor decomposition, to show that...
Ding, Lin; Beichner, Robert
This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches.
Besides economics and controllability, waste minimization has now become an obje ctive in designing chemical processes, and usually leads to high costs of invest ment and operation. An attempt was made to minimize waste discharged from chemic al reaction processes during the design and modification process while the opera tion conditions were also optimized to meet the requirements of technology and e conomics. Multiobjectives decision nonlinear programming (NLP) was employed to o ptimize the operation conditions of a chemical reaction process and reduce waste . A modeling language package-SPEEDUP was used to simulate the process. This p aper presents a case study of the benzene production process. The flowsheet factors affecting the economics and waste generation were examined. Constraints were imposed to reduce the number of objectives and carry out optimal calculations e asily. After comparisons of all possible solutions, best-compromise approach wa s applied to meet technological requirements and minimize waste.
Besides econormics and controllability, waste minimization has now become an objective in designing chemical processes,and usually leads to high costs of investment and operation.An attempt was mede to minimize waste discharged from chemical reaction processes during the design and modification process while the operation conditions were also optimized to meet the requirements of technology and economics.Multiob-jectives decision nonlinear programming(NLP) was emplyed optimize the operation conditions of a chemical reaction process and reduce waste. A modeling package-SPEEDUP was used to simulate the process.This paper presents a case study of the benzenc production process.The flowsheer factors affecting the economics and waste generation were examined.Constraints were imposed to reduce the number of objectives and carry out optimal calculations easily.After comparisons of all possiblle solutions,best-compromise approach was applied to meet technological requirements and minimize waste.
Benavides Ramiro, Ana
RESUMEN: Introducción: la alteración en el equilibrio es una de las causas que generan mayor discapacidad en los pacientes con esclerosis múltiple, lo que hace necesario el conocimiento de las diferentes técnicas de tratamiento existentes para paliarlo. Objetivo: revisar la literatura que estudia la efectividad de las diferentes técnicas más utilizadas y valorar los efectos producidos en el equilibrio de los pacientes con esclerosis múltiple. Material y métodos: se realizó una búsqueda biblio...
Barcenilla Rodríguez, Hugo
La esclerosis múltiple es una enfermedad crónica desmielinizante caracterizada por la presencia de células inflamatorias en el sistema nervioso central. Aunque su causa primara todavía se desconoce, hay evidencias de que los linfocitos T y B tienen un papel patogénico en el desarrollo de la enfermedad. Se ha demostrado la eficacia del interferón beta (IFN[beta]) en el tratamiento de la esclerosis múltiple pero su mecanismo de acción continúa siendo una incógnita. Existen pocos estudios que ev...
Lilia Mestas; Judith Salvador; Fernando Gordillo
La esclerosis múltiple afecta el sistema nervioso produciendo alteraciones cognitivas. La memoria es uno de los más afectados, no obstante la naturaleza ó factor primario de alteración aún no se clarifica. Objetivo: Estudia las diferencias en el procesamiento de la información verbal en un grupo de pacientes con esta patologíaa neurológica respecto a un grupo de control sano. Para ello se analizó el desempeño neuropsicológico de 16 pacientes con esclerosis múltiple de tipo remitente-...
Labiano Fontcuberta, Andrés
La primera parte del estudio, en el que se incluyeron 157 pacientes con esclerosis múltiple remitente-recurrente y 80 controles sanos, concluye que los pacientes con esclerosis múltiple presentan una regulación disfuncional de sus sentimientos de ira, ya que experimentan sentimientos de ira con más frecuencia y ante un mayor número de situaciones que la población general (Rasgo de Ira). Esta alteración emocional no es consecuencia de un proceso reactivo secundario a la discapacidad física inh...
Oscar Mauricio Espitia Segura; Juan David Farfán Albarracín
Objetivo: Revisar la literatura disponible sobre esclerosis múltiple en la población pediátrica.Métodos: Revisión sistemática de la literatura encontrada en las bases de datos Scopus y PubMed posterior al año 2000.Resultados y Conclusiones: La Esclerosis Múltiple es una enfermedad con una tasa de incidencia de 2 – 4 / 100.000 habitantes en Colombia, de la cual la población pediátrica representa entre 2,7 – 5% de los casos. Las causas que se han atribuido a la enfermedad son múltiples, incluye...
In this paper we present the state of the art of the theoretical background needed for analyzing X-ray absorption spectra in the whole energy range. The multiple-scattering (MS) theory is presented in detail with some applications on real systems. We also describe recent progress in performing geometrical fitting of the XANES (X-ray absorption near-edge structure) energy region and beyond using a full multiple-scattering approach.
Valin, P; Menon, M J
We construct the hadronic multiplicity distribution in terms of an elementary distribution (at given impact parameter) and the inelastic overlap function characterized by the observed BEL (Blacker-Edgier-Larger) behaviour. With suitable parametrizations for the elementary quantities, based on some geometrical arguments and the most recent data on e+e- annihilation, an excellent description of pp and p(bar)p inelastic multiplicity distributions at the highest energies is obtained. With this approach, we quantitatively correlate the violations of scalings in multiplicity distributions (Koba-Nielsen-Olesen) and elastic scattering (Geometrical) at high energies.
R. Ramírez Puerta; E. Yuste Ossorio; S. Narbona Galdó; N. Pérez Izquierdo; L. Peñas Maldonado
Objetivos: Analizar las complicaciones relacionadas con el soporte nutricional enteral en los pacientes con esclerosis lateral amiotrófica que forman parte de nuestro programa de ventilación mecánica domiciliaria, haciendo especial hincapié en las gastrointestinales. Método: Estudio retrospectivo de tipo descriptivo de enfermos que se incluyeron en nuestro Programa de Ventilación Mecánica Domiciliaria (PVMD) dirigido por médicos intensivistas, mediante la revisión sistemática de historias clí...
Torres Moreno, M. Carmen
Introducció. L'esclerosi múltiple (EM) és una malaltia neurodegenerativa caracteritzada per la inflamació i la destrucció de la mielina al sistema nerviós central (SNC). Es presenta principalment en adults joves, considerant-se la primera causa de discapacitat en aquesta població. Els cannabinoides presenten efectes analgèsics i antiespàstics; i estan aprovats pel tractament d'aquests símptomes. Objectius. Realitzar una revisió sistemàtica i metaanàlisi dels estudis clínics aleatoritzats que ...
Etxebeste Díez, Ane
La esclerosis múltiple (EM) es la principal causa de incapacidad neurológica en adultos jóvenes y de mediana edad. Es una enfermedad desmielinizante del Sistema Nervioso Central (SNC), cuya evolución es impredecible y sus efectos y síntomas son muy variados. Su principal observación anatomopatológica es la destrucción inmunitaria de la mielina. La fatiga es un síntoma muy común en estos pacientes, lo cual ha provocado durante muchos años que éstos fueran personas inactivas. Objetivos: E...
Márquez Rebollo, María del Carmen
Esta tesis doctoral buscaba indagar en la pregunta que surge cuando la enfermedad, la Esclerosis Múltiple en este caso, sorprende a los pacientes en los años más productivos de sus vidas, cuando empiezan a planificar su futuro, su proyecto de vida y les obliga a cambiar su trayectoria vital. Las vivencias y experiencias de estas personas desde una aproximación cualitativa han permitido acercarnos a descubrir, conocer e interpretar los significados del padecimiento a través del discurso d...
José Carrón; Javier Arza
La esclerosis múltiple es una enfermedad neurodegenerativa. Se caracteriza por presentar una gran variabilidad de síntomas y por evolucionar en forma de crisis o brotes. Históricamente se han observado divergencias en los datos sobre su prevalencia. Según los datos manejados en este estudio, puede afirmarse que la prevalencia se da, al menos, en 78 casos por cada 100.000 habitantes para Navarra, y que alcanza los 144 casos en el conjunto del Estado español. Esas cifras revelan que los datos u...
Esclerosis Múltiple España
Tradicionalmente, el ejercicio como parte del abordaje de la Esclerosis Múltiple ha sido infrautilizado y objeto de controversia. A menudo, los médicos recomendaban que se evitara realizar ejercicio físico a las personas con esta enfermedad, debido sobre todo al incremento de la temperatura corporal asociada al deporte y vinculada a su vez con el empeoramiento de síntomas asociados a la enfermedad (discapacidad visual y paresis), así como a la fatiga, otro de los síntomas más comunes y discap...
Federación Española de Lucha contra la Esclerosis Múltiple (FELEM)
Se calcula que en España hay alrededor de 40.000 pacientes de esclerosis múltiple, una enfermedad de difícil diagnóstico y que puede llegar a ser muy discapacitante. Con el fin de conocer mejor a este colectivo y de sensibilizar a la población general sobre esta dolencia, el Ministerio de Trabajo y Asuntos Sociales ha encargado el presente estudio. En él se han empleado técnicas cuantitativas y cualitativas para recoger información de cuatro agentes sociales implicados en este trastorno: las ...
Franquis González, Juan Heriberto; Sierra Ojeda, Sonia; Espinosa Mondaza, Carlos
La esclerosis múltiple es una patología, inflamatoría, autoinmune, desmielinizante y crónica que afecta al sistema nervioso central. Este daño en la mielina se traduce en un mal funcionamiento de las fibras nerviosas. Se ha presentado en individuos genéticamente susceptibles e involucra factores inmunológicos y mediadores de la respuesta inmune así como la posibilidad de relación con factores ambientales y agentes virales. Se caracteriza por ataques recurrentes multifocales de signos y síntom...
Brink, Van Den Paul J.; Choung, Catherine Bo; Landis, Wayne; Mayer-Pinto, Mariana; Pettigrove, Vincent; Scanes, Peter; Smith, Rachael; Stauber, Jenny
So as to assess how emerging science and new tools can be applied to study multiple stressors at a large (ecosystem) scale and to facilitate greater integration of approaches among different scientific disciplines, a workshop was organised on 10-12 September 2014 at the Sydney Institute of Marine
Yi, Nengjun; Xu, Shizhong; Lou, Xiang-Yang; Mallick, Himel
Multiple comparisons or multiple testing has been viewed as a thorny issue in genetic association studies aiming to detect disease-associated genetic variants from a large number of genotyped variants. We alleviate the problem of multiple comparisons by proposing a hierarchical modeling approach that is fundamentally different from the existing methods. The proposed hierarchical models simultaneously fit as many variables as possible and shrink unimportant effects towards zero. Thus, the hierarchical models yield more efficient estimates of parameters than the traditional methods that analyze genetic variants separately, and also coherently address the multiple comparisons problem due to largely reducing the effective number of genetic effects and the number of statistically ‘significant’ effects. We develop a method for computing the effective number of genetic effects in hierarchical generalized linear models, and propose a new adjustment for multiple comparisons, the hierarchical Bonferroni correction, based on the effective number of genetic effects. Our approach not only increases the power to detect disease-associated variants but also controls the Type I error. We illustrate and evaluate our method with real and simulated data sets from genetic association studies. The method has been implemented in our freely available R package BhGLM (http://www.ssg.uab.edu/bhglm/). PMID:24259248
Petersen, Hanne Løhmann
This paper introduces the Double Travelling Salesman Problem with Multiple Stacks and presents a three different metaheuristic approaches to its solution. The Double Travelling Salesman Problem with Multiple Stacks is concerned with finding the shortest route performing pickups and deliveries in...... two separated networks (one for pickups and one for deliveries). Repacking is not allowed, but the items can be packed in several rows in the container, such that each row can be considered a LIFO stack, but no mutual constraints exist between the rows. Two different neighbourhood structures are...
Petersen, Hanne Løhmann
This paper introduces the Double Travelling Salesman Problem with Multiple Stacks and presents a three different metaheuristic approaches to its solution. The Double Travelling Salesman Problem with Multiple Stacks is concerned with finding the shortest route performing pickups and deliveries in...... two separated networks (one for pickups and one for deliveries). Repacking is not allowed, but the items can be packed in several rows in the container, such that each row can be considered a LIFO stack, but no mutual constraints exist between the rows. Two different neighbourhood structures are...
Input-output data fitting methods are often used for unknown-structure nonlinear system modeling. Based on model-on-demand tactics, a multiple model approach to modeling for nonlinear systems is presented. The basic idea is to find out, from vast historical system input-output data sets, some data sets matching with the current working point, then to develop a local model using Local Polynomial Fitting (LPF) algorithm. With the change of working points, multiple local models are built, which realize the exact modeling for the global system. By comparing to other methods, the simulation results show good performance for its simple, effective and reliable estimation.``
Vladimir V. Markelov
Full Text Available ABSTRACTThe data presented in this manuscript suggest a pivotal role of the central nervous system (CNS in the regulation of immune status. We describe here that some neurochemical disturbances may provoke development of various diseases including multiple sclerosis. Some theoretic and practical backgrounds, how to improve the multiple sclerosis sufferers and patients with other autoimmune disorders, are also given.RESUMENLos datos que presentamos en este manuscrito, sugieren un papel guia del sistema nervioso central (SNC en la regulación del estado inmune. Describimos aquí que varias alteraciones neuroquímicas pueden provocar el desarrollo de varias enfermedades, incluyendo esclerosis múltiple. También se comenta acerca del trasfondo teórico y práctico, y cómo mejorar a víctimas y pacientes con esclerosis múltiple y otras alteraciones autoinmunes.
Ballard, Timothy; Yeo, Gillian; Neal, Andrew; Farrell, Simon
This article examines how people depart from optimality during multiple-goal pursuit. The authors operationalized optimality using dynamic programming, which is a mathematical model used to calculate expected value in multistage decisions. Drawing on prospect theory, they predicted that people are risk-averse when pursuing approach goals and are therefore more likely to prioritize the goal in the best position than the dynamic programming model suggests is optimal. The authors predicted that people are risk-seeking when pursuing avoidance goals and are therefore more likely to prioritize the goal in the worst position than is optimal. These predictions were supported by results from an experimental paradigm in which participants made a series of prioritization decisions while pursuing either 2 approach or 2 avoidance goals. This research demonstrates the usefulness of using decision-making theories and normative models to understand multiple-goal pursuit. (PsycINFO Database Record PMID:26963081
Multiple sclerosis (MS) is considered as a T-cell mediated autoimmune disease. Caused by central nervous system demyelination and axonal damage varying clinical signs do occur either with relapsing-remitting or with chronic progressive course. Based on pathogenetic considerations immunomodulative and immunosuppressive therapeutical approaches are used to limit the disease progression. Clinical symptoms, diagnostic criteria, pathogenetical considerations, and consecutive therapeutical interventions are summarized. (orig.)
Full Text Available A novel distributed hunting approach for multiple autonomous robots in unstructured mode‐free environments, which is based on effective sectors and local sensing, is proposed in this paper. The visual information, encoder and sonar data are integrated in the robot’s local frame, and the effective sector is introduced. The hunting task is modelled as three states: search state, round‐obstacle state, and hunting state, and the corresponding switching conditions and control strategies are given. A form of cooperation will emerge where the robots interact only locally with each other. The evader, whose motion is a priori unknown to the robots, adopts an escape strategy to avoid being captured. The approach is scalable and may cope with problems of communication and wheel slippage. The effectiveness of the proposed approach is verified through experiments with a team of wheeled robots.
ANITHA RANI INTURI
Full Text Available Well Trained Record matching methods such as SVM, OSVM, PEBL, and Christen offers better performances when mining and filtering duplicate query results from multiple web databases. They require huge training data sets for prelearning. Unsupervised Duplicate Detection (UDD a query-dependent record matching method that requires no pre training was developed earlier. Non duplicate records from the same source can be used as training examples so for a given query UDD uses two cooperating classifiers, a weighted component similarity summing classifier and an SVM classifier that iteratively identifies duplicates in the query results from multiple Web databases. To optimize its performance in String Similarity calculations during Information Retrievals (IR, we propose the generalized Levenshtein distance algorithms. Experimental results show that our approach is comparable to previous works that requires huge training examples.
Mori, Hirotaka; Tsunashima, Hitoshi
This paper demonstrates the possibility to detect suspension failures of railway vehicles using a multiple-model approach from on-board measurement data. The railway vehicle model used in this study includes lateral and yaw motions of wheelsets and bogie, and the lateral motion of the vehicle body. These motions are measured by on-board sensors for lateral acceleration and yaw rate. The detection algorithm is formulated based on the interacting multiple-model (IMM) algorithm adding a method updating estimation model. The IMM method has been applied for detecting faults in vehicle suspension systems in a simulation study. The mode probabilities and states of vehicle suspension systems are estimated based on a Kalman filter (KF). This algorithm is evaluated in simulation examples. Simulation results indicate that the algorithm effectively detects on-board faults of railway vehicle suspension systems in realistic situation.
Evaluación neuropsicológica en 129 pacientes chilenos con esclerosis múltiple recurrente remitente previo a inicio de fármacos inmunomoduladores Neuropsychological assessment of patients with relapsing remitting multiple sclerosis prior to the use of immunomodulatory drugs
Full Text Available Background: The detection of cognitive changes (CC and psychiatric disorders in relapsing remitting multiple sclerosis (MS-RR contributes to patient clinical monitoring. Aim: To assess the frequency and characteristics of CC and psychiatric disorders in Chilean patients with MS-RR, before starting immunomodulatory treatment. Patients and Methods: Retrospective review of data that was obtained following a standard assessment protocol. It consisted in the application of the Expanded Disability Status Scale of Kurtzke (EDSS, Multiple Sclerosis Functional Composite (MSFC, fatigue intensity scale of Krupp, brief repeatable battery of neuropsychological Rao (BRN-R and Hamilton's depression and anxiety questionnaires. Results: We evaluated 129 patients aged between 12 and 60 years of age (69% women. Ninetyfour percent of patients had eight or more years of schooling. The average EDSS score was 2.83. CC were detected in 62% of participants, in at least one subtest of the BRN-R. The main changes were verbal memory and speed in the processing information. The frequency of cognitive impairment (CI, defined as at least two BRN-R subtests altered, was 36%. The figures decreased to 17% when significant major depression or associated fatigue were excluded. Depressive symptoms were observed in 58% and anxiety in 76.7%. Conclusions: The results are consistent with those described in the literature. The type of instruments used in the investigation of CC and the definition of CI in MS should be standardized.
Shen-tu Han; Xue Anke; Guo Yunfei
The variable-structure multiple-model (VSMM) approach, one of the multiple-model (MM) methods, is a popular and effective approach in handling problems with mode uncertainties. The model sequence set adaptation (MSA) is the key to design a better VSMM. However, MSA methods in the literature have big room to improve both theoretically and practically. To this end, we propose a feedback structure based entropy approach that could find the model sequence sets with the smallest size under certain conditions. The filtered data are fed back in real time and can be used by the minimum entropy (ME) based VSMM algorithms, i.e., MEVSMM. Firstly, the full Markov chains are used to achieve optimal solutions. Secondly, the myopic method together with particle filter (PF) and the challenge match algorithm are also used to achieve sub-optimal solutions, a trade-off between practicability and optimality. The numerical results show that the proposed algorithm provides not only refined model sets but also a good robustness margin and very high accuracy.
Full Text Available MPLS security is an evolving issue which has been raised by many researchers and service providers. The basic architecture of MPLS network does not provide security services such as encryption. Therefore, MPLS does not protect the confidentiality of data transmitted. This paper provides a mechanism to enhance the security in MPLS networks by proposing a modified (k, n Threshold Secret Sharing scheme where the n shares obtained are send over multiple disjoint paths. We have implemented our approach to measure its time overhead on packet transmission.
Abrams, Aaron; Landau, Henry; Landau, Zeph; Pommersheim, James; Zaslow, Eric
In order to study how well a finite group might be generated by repeated random multiplications, P. Diaconis suggested the following urn model. An urn contains some balls labeled by elements which generate a group G. Two are drawn at random with replacement and a ball labeled with the group product (in the order they were picked) is added to the urn. We give a proof of his conjecture that the limiting fraction of balls labeled by each group element almost surely approaches 1/|G|.
Arango-Lasprilla, Juan Carlos; DeLuca, John; Chiaravalloti, Nancy
La Esclerosis Múltiple (EM) es la enfermedad neurológica no traumática más común entre personas jóvenes y adultos en etapas medias de la vida. La presente investigación tuvo como objetivo estudiar el perfil neuropsicológico de un grupo de sujetos con EM. A ochenta sujetos con diagnóstico de EM y 40 sujetos sanos se les administró una batería de evaluación neuropsicológica. El grupo de personas con EM presentó puntuaciones más bajas en todas las pruebas y, en el 84% de las variables medidas (1...
Full Text Available Abstract Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.
Full Text Available Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.
Full Text Available
La esclerosis múltiple afecta el sistema nervioso produciendo alteraciones cognitivas. La memoria es uno de los más afectados, no obstante la naturaleza ó factor primario de alteración aún no se clarifica. Objetivo: Estudia las diferencias en el procesamiento de la información verbal en un grupo de pacientes con esta patologíaa neurológica respecto a un grupo de control sano. Para ello se analizó el desempeño neuropsicológico de 16 pacientes con esclerosis múltiple de tipo remitente-recurrente y un grupo de control equiparado en las variables sociodemográficas. A los dos grupos se les aplic? el Test de Aprendizaje Verbal España-Complutense, y se realizó una comparación entre diversos índices de la prueba, además de un análisis de correlaciones entre las variables socio-demográficas del grupo experimental para identificar algún factor protector. Resultados: el grupo de esclerosis múltiple obtuvo rendimientos inferiores en los índices analizados respecto al de control, además de una correlación positiva entre años de escolaridad y el inicio de la enfermedad y entre el inicio de la enfermedad y la ocupación. Los datos encontrados parecen indicar que los pacientes con esclerosis múltiple tienen poca capacidad de planificación, que incide de manera directa en su desempeño en tareas de memoria y aprendizaje.
Gacias, Mar; Casaccia, Patrizia
Multiple sclerosis is a disease characterized by inflammatory demyelination, axonal degeneration and progressive brain atrophy. Most of the currently available disease modifying agents proved to be very effective in managing the relapse rate, however progressive neuronal damage continues to occur and leads to progressive accumulation of irreversible disability. For this reason, any therapeutic strategy aimed at restoration of function must take into account not only immunomodulation, but also axonal protection and new myelin formation. We further highlight the importance of an holistic approach, which considers the variability of therapeutic responsiveness as the result of the interplay between genetic differences and the epigenome, which is in turn affected by gender, age and differences in life style including diet, exercise, smoking and social interaction. PMID:24363985
Full Text Available BACKGROUND: Comparative genomics, or the study of the relationships of genome structure and function across different species, offers a powerful tool for studying evolution, annotating genomes, and understanding the causes of various genetic disorders. However, aligning multiple sequences of DNA, an essential intermediate step for most types of analyses, is a difficult computational task. In parallel, citizen science, an approach that takes advantage of the fact that the human brain is exquisitely tuned to solving specific types of problems, is becoming increasingly popular. There, instances of hard computational problems are dispatched to a crowd of non-expert human game players and solutions are sent back to a central server. METHODOLOGY/PRINCIPAL FINDINGS: We introduce Phylo, a human-based computing framework applying "crowd sourcing" techniques to solve the Multiple Sequence Alignment (MSA problem. The key idea of Phylo is to convert the MSA problem into a casual game that can be played by ordinary web users with a minimal prior knowledge of the biological context. We applied this strategy to improve the alignment of the promoters of disease-related genes from up to 44 vertebrate species. Since the launch in November 2010, we received more than 350,000 solutions submitted from more than 12,000 registered users. Our results show that solutions submitted contributed to improving the accuracy of up to 70% of the alignment blocks considered. CONCLUSIONS/SIGNIFICANCE: We demonstrate that, combined with classical algorithms, crowd computing techniques can be successfully used to help improving the accuracy of MSA. More importantly, we show that an NP-hard computational problem can be embedded in casual game that can be easily played by people without significant scientific training. This suggests that citizen science approaches can be used to exploit the billions of "human-brain peta-flops" of computation that are spent every day playing games
Smith, David P.; van Kampen, Paul
We have investigated preservice science teachers' qualitative understanding of circuits consisting of multiple batteries in single and multiple loops using a pretest and post-test method and classroom observations. We found that most students were unable to explain the effects of adding batteries in single and multiple loops, as they tended to use…
Luna Calcaño, Inés María
OBJETIVO: Conocer la utilidad diagnóstica del Reibergrama, en la determinación de síntesis intratecal de IgG en pacientes sospechosos de Esclerosis Múltiple, contrastándolo con otras pruebas complementarias utilizadas para el diagnóstico de esclerosis múltiple en términos de sensibilidad, especificidad y valor predictivo positivo. PACIENTES Y MÉTODO: Se ha realizado un estudio retrospectivo, descriptivo, epidemiológico y de corte transversal en el período comprendido entre Abril 2...
Salinas Pérez, Virginia
Busca describir los significados de la vivencia del diagnóstico de esclerosis múltiple como enfermedad crónica, singular y progresiva, y analizar e interpretar la experiencia que viven estos pacientes desde que experimentan síntomas y hasta el reconocimiento de la enfermedad. La población son pacientes con esclerosis múltiple de la Unidad de Neuroinmunología del Hospital Carlos Haya de Málaga. La muestra total fue de 25 participantes. Tuvo un diseño cualitativo fenomenológico descriptivo, y e...
Federación Española para la Lucha contra la Esclerosis Múltiple
Este documento de trabajo elaborado por Esclerosis Múltiple España – FELEM para el Real Patronato sobre Discapacidad pretende ser un punto de partida para el acercamiento y el análisis de la situación y necesidades de los jóvenes con Esclerosis Múltiple, sus dificultades relacionadas con la atención sociosanitaria, la vivencia personal y familiar, su situación en el mercado de trabajo, etc. Todo ello, con el objetivo de detectar estrategias para una autogestión eficaz de su enfermedad, como s...
Estruch, Bonaventura Casanova
Multiple sclerosis (MS) is a long-term chronic disease, in which intercurrent processes develop three times more frequently in affected individuals than in persons without MS. Knowledge of the comorbidity of MS, its definition and measurement (Charlson index) improves patient management. Acting on comorbid conditions delays the progression of disability, which is intimately linked to the number of concurrent processes and with health states and habits. Moreover, the presence of comorbidities delays the diagnosis of MS, which in turn delays the start of treatment. The main comorbidity found in MS includes other autoimmune diseases (thyroiditis, systemic lupus erythematosus, or pemphigus) but can also include general diseases, such as asthma or osteomuscular alterations, and, in particular, psychiatric disturbances. All these alterations should be evaluated with multidimensional scales (Disability Expectancy Table, DET), which allow more accurate determination of the patient's real clinical course and quality of life. These scales also allow identification of how MS, concurrent and intercurrent processes occurring during the clinical course, and the treatment provided affect patients with MS. An overall approach to patients' health status helps to improve quality of life. PMID:25732944
Microbial source tracking is an area of research in which multiple approaches are used to identify the sources of elevated bacterial concentrations in recreational lakes and beaches. At our study location in Darwin, northern Australia, water quality in the harbor is generally good, however dry-season beach closures due to elevated Escherichia coli and enterococci counts are a cause for concern. The sources of these high bacteria counts are currently unknown. To address this, we sampled sewage outfalls, other potential inputs, such as urban rivers and drains, and surrounding beaches, and used genetic fingerprints from E. coli and enterococci communities, fecal markers and 454 pyrosequencing to track contamination sources. A sewage effluent outfall (Larrakeyah discharge) was a source of bacteria, including fecal bacteria that impacted nearby beaches. Two other treated effluent discharges did not appear to influence sites other than those directly adjacent. Several beaches contained fecal indicator bacteria that likely originated from urban rivers and creeks within the catchment. Generally, connectivity between the sites was observed within distinct geographical locations and it appeared that most of the bacterial contamination on Darwin beaches was confined to local sources.
López Lizcano, Ruth María
Estudio del valor del grosor de la Capa de Fibras Nerviosas de la Retina (CFNR) a lo largo de un año como marcador de daño neuroaxonal en pacientes con distintos estadios de Esclerosis Múltiple (EM): pacientes con síndrome clínico aislado (CIS) que es el estadio más inicial de enfermedad desmielinizante, pacientes con esclerosis múltiple remitente-recurrente (EMRR) y pacientes con esclerosis múltiple primaria-progresiva (EMPP) frente a sujetos sanos. Estudio de las posibles correlaciones exis...
Kajihara, Yasushi; Noumi, Masatoshi
A multiple generalization of elliptic hypergeometric series is investigated and a duality transformation for multiple hypergeometric series is proposed. Our duality transformation obtained from an identity arising from the Cauchy determinant formula for Weierstrass sigma functions, by spcialization of a particular form.
Booth, Rosslyn; O'Brien, Patrick John
This paper explores a range of therapeutic modalities used by counsellors of children and positions those modalities within Gardner's theory of multiple intelligences. Research by O'Brien ("Gardner's theory of multiple intelligence and its implications for the counselling of children." Unpublished doctoral dissertation, Queensland University of…
Introzzi, Isabel; Ledesma, Rubén Daniel
En este trabajo analizamos el uso de estrategias semánticas en una tarea de aprendizaje de palabras en pacientes con Esclerosis Múltiple, y evaluamos la posible influencia del funcionamiento ejecutivo sobre esta tarea. Se trabaja con un grupo clínico (n=36) y un grupo control (n=36) equiparados por edad y nivel educativo. Se proporcionó a los sujetos 5 ensayos de aprendizaje y se analizó la cantidad de estrategias semánticas nuevas implementadas en cada uno de los ensayos; además, se utilizar...
Alonso Revilla, Beatriz
Introducción: La esclerosis lateral amiotrófica es una enfermedad neuromuscular, de naturaleza progresiva, cuya principal característica clínica es la debilidad y la atrofia muscular. Los tratamientos de los que se disponen para esta enfermedad son muy limitados y de carácter paliativo. Entre ellos, predomina la ventilación mecánica no invasiva mediante la cual, se obtienen efectos beneficiosos en la mecánica respiratoria del paciente. En este tipo de terapias, el papel de enfermería es pr...
Casañas Díaz, Juan José
La esclerosis lateral amiotrófica (ELA) es una enfermedad devastadora e incurable cuyos primeros síntomas se manifiestan como debilidad y “repentina torpeza” en las actividades cotidianas, que progresa irremisiblemente en pocos años hasta producir la muerte. En la base de estos síntomas, subyace la progresiva muerte de las motoneuronas espinales (y de las neuronas motoras corticales). Así, su avance conduce progresivamente a la parálisis de los miembros inferiores, el tronco, los miembros sup...
Ortiz Pérez, Santiago
ANTECEDENTES La Esclerosis Múltiple (EM) es una enfermedad neurodegenerativa inmuno-mediada del sistema nervioso central, que produce daño neuro axonal responsable de discapacidad. La vía visual es uno de los sistemas más frecuentemente afectados en la EM, dicho daño puede ser evaluado y monitorizado mediante la exploración neuro-oftalmológica. HIPÓTESIS El daño en la vía visual es frecuente en la EM y es representativo de su grado de actividad y gravedad. El examen de la vía ...
José Carrón Sánchez; Javier Arza Porras
La evolución en el paradigma desde el que se contempla la discapacidad, y en concreto la esclerosis múltiple, ha estado marcada por los cambios en el concepto de salud, en el avance en los derechos sociales subjetivos y en la implantación progresiva de un modelo inclusivo para su abordaje. Con esta investigación se pretende responder a las preguntas de ese nuevo paradigma, revisando la situación epidemiológica, los estudios anteriores, y el desarrollo de una metodología complementaria desde l...
De la Cuesta Etxeberria, Maialen
La esclerosis múltiple es una enfermedad crónica autoinmune y desmielinizante del sistema nervioso central caracterizada por las lesiones o placas escleróticas que presentan sus pacientes. Estas placas se forman como consecuencia de una desmielinización focal aguda e inflamatoria asociada a una posible pérdida axonal con una posterior remielinización.La función de estas moléculas de RNA, compuestas por 22 nucleótidos aproximadamente, es regular la expresión génica, bien degradando el mRNA,...
Pérez Fernández, Carolina
Background: Esta Revisión Bibliográfica parte de diversas descripciones de casos de pacientes con Esclerosis Múltiple, recogidas en 26 artículos. Objetivo: Se pretende revisar la literatura médica disponible sobre aspectos logopédicos relacionados con la enfermedad y conocer el tratamiento asociado a esos síntomas. Metodología: Revisión Sistemática en bases de datos Pubmed y Ebscohost de estudios de casos que hagan referencia a sintomatología asociada, especialmente relac...
Téllez Lara, Nieves
La esclerosis múltiple (EM) es una enfermedad inmunomediada del sistema nervioso central. Más del 50% de pacientes presenta fatiga relacionada con la EM, y este síntoma puede llegar a ser el más discapacitante. En los últimos años se ha publicado una enorme cantidad de trabajos que intenta aclarar datos sobre la etiología y el tratamiento de la fatiga en EM, pero las conclusiones nos ayudan poco en el día a día. La presente tesis recoge cuatro trabajos destinados a conocer mejor aspectos rela...
Ramo Tello, Cristina; Codina Francisco, Montserrat
L'adherència a immunomoduladors en esclerosi múltiple és d'interès. OBJECTIU: Elaborar eines per millorar l'adherència MÈTODE: Reunió amb investigadors per avaluar els factors associats amb la no-adherència als immunomoduladors. RESULTATS: Es van acordar les recomanacions per neuròlegs i pacients i els qüestionaris a passar a l'inici del tractament i durant el seguiment per identificar els pacients probablement no adherents CONCLUSIÓ: L'adherència es considera essencial. Els professionals san...
Arbinaga Ibarzábal, Félix
El trabajo pretende conocer las características de un grupo de 17 enfermos con Esclerosis Múltiple en aspectos como depresión, ansiedad, sensibilidad a la ansiedad y la calidad de vida relacionada con la salud. Mediante la utilización del Inventario de Depresión de Beck (BDI) se observa que el 58,8% presenta algún nivel de depresión; mostrando puntuaciones superiores a las de la población normativa (p
Fernández Villota, Sandra; Alamany, Laia; Giambastiani, María Paz
Este proyecto de investigación y sensibilización tiene como principal finalidad el análisis de los diferentes aspectos que están incidiendo en la calidad de vida de las personas afectadas por esta enfermedad, las posibles problemáticas derivadas de ello, la detección de las necesidades sociales y de recursos sanitarios que sean más decisivas para el colectivo en Argentina y todo ello comparándolo con la realidad española. De ello, y aprovechando sinergias en la lucha contra la Esclerosis Múlt...
Marco Contelles, José Luis; Alcázar González, Alberto
Uso y preparación de esteronitronas con alta permeabilidad a la barrera hematoencefálica, capacidad antioxidante y neuroprotectora, como potenciales fármacos para el tratamiento del ictus o accidente cerebrovascular, enfermedades de Alzheimer, Parkinson y esclerosis lateral amiotrófica.
Full Text Available The present study was realized in a Greek 6th grade State Primary School class and was based on Howard Gardner’s theory of multiple intelligences, which was first introduced in 1983. More particularly, it was explored to what extent the young learners possess multiple intelligences through the use of a specially-designed questionnaire and a series of interviews. The findings of the above have served as a tool to the construction of a project work based on students’ learning preferences within a cross-curricular framework, easily applicable to the Greek State School curriculum. All learners were activated to participate within a school environment that traditionally promotes linguistic and mathematical skills matching dominant multiple intelligences or a combination of some of them to thematic units already taught by Greek teachers. The suggested project was assessed through observation and student portfolio, showing that the young learners’ multiple intelligences were exploited to a great extent, promoting the learning process satisfactorily. The results of this study can provide a contribution to the literature of multiple intelligences in the Greek reality and suggest a need for further consideration and exploration in the field. Finally, the researcher of this study hopes the present work could function as a springboard for more elaborated studies in the future.
The present study was realized in a Greek 6th grade State Primary School class and was based on Howard Gardner’s theory of multiple intelligences, which was first introduced in 1983. More particularly, it was explored to what extent the young learners possess multiple intelligences through the use of a specially-designed questionnaire and a series of interviews. The findings of the above have served as a tool to the construction of a project work based on students’ learning preferences within...
Junyong ZHAI; Shumin FEI; Feipeng DA
It is difficult to realize control for some complex nonlinear systems operated in different operating regions.Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models.The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method.
R. Ramírez Puerta
Full Text Available Objetivos: Analizar las complicaciones relacionadas con el soporte nutricional enteral en los pacientes con esclerosis lateral amiotrófica que forman parte de nuestro programa de ventilación mecánica domiciliaria, haciendo especial hincapié en las gastrointestinales. Método: Estudio retrospectivo de tipo descriptivo de enfermos que se incluyeron en nuestro Programa de Ventilación Mecánica Domiciliaria (PVMD dirigido por médicos intensivistas, mediante la revisión sistemática de historias clínicas (procedentes de una base de datos de Microsoft Access, durante los años 2004-2011. Resultados: Entre los años 2004-2011 se siguieron 73 pacientes con diagnostico de Esclerosis lateral amiotrófica: 34 de ellos (46,6% rechazaron el aporte nutricional a través de gastrostomía o de sonda nasogástrica, mientras que 39 (53,4% aceptaron su colocación. De los 39 pacientes en los que se inició la NED: 20 eran mujeres mujeres (51,3%. La edad media de los pacienes fue de 60,6 + 13,4 años (IC 95% 56,464,8. Los diagnósticos al ingreso en el PVMD fueron: ELA, 21 casos (53,8%, y ELA con afectación bulbar, 18 (43,1%. Se alimentaron a través de GEP 34 pacientes (87,2%, con gastrostomía quirúrgica 3 (7,7% y mediante sonda nasogástrica 3 (7,7%. La gastrostomía percutánea endoscópica se realizó tras la inclusión de los pacientes en el programa, con una media días de 222,7 + 356,6 (IC 95% 110,8-334,7. En pacientes con ELA la media fue de 271,4 + 449,5 días (IC 95% 130,3-412,1, con ELA y afectación bulbar de 126,4 + 131,3 días (IC 95% 90-172,6. El recambio de sonda fue de 7,3 + 4,8 meses (IC 95% 4-10,6. La nutrición enteral tuvo una duración media de 578,6 + 872,9 días (IC 95% 304,7-852,6. Se hallaron complicaciones en 35 pacientes (89,7%, y solamente en 4, no se encontró ninguna (10,3%. Ver tabla II. El estreñimiento se manifestó, después del inicio de la NE, en 30 pacientes (76,9%; sin embargo, ya existía previamente en 18 de
The need to share software and reintegrate it into new applications presents a difficult but important challenge. Component-based development as an approach to this problem is receiving much attention in professional journals and academic curricula. However, there are many other approaches to collaborative software development that might be more appropriate. This paper reviews a few of these approaches and discusses criteria for the conditions and contexts in which these alternative approaches might be more appropriate. This paper complements the discussion of context-based development team organizations and processes. Examples from a small development team that interacts with a larger professional community are analyzed
Sasan Babaie-Kafaky; Asadollah Mataji; Naser A. Sani
Problem statement: A valuable Source of plant and animal various species in the west of Iran is Zagros forests that, misuses by foresters and local societies has caused severe degradation. In this study, forest areas ecological assessment was carried out with a (GIS)-based MCDM approach for multiple-use planning in order to reduce degradation and improving sustainability. Approach: All of possible land uses were evaluated separately. The AHP was used to defining weight of criteria and sub-cri...
Gacias, Mar; Casaccia, Patrizia
Multiple sclerosis is a disease characterized by inflammatory demyelination, axonal degeneration and progressive brain atrophy. Most of the currently available disease modifying agents proved to be very effective in managing the relapse rate, however progressive neuronal damage continues to occur and leads to progressive accumulation of irreversible disability. For this reason, any therapeutic strategy aimed at restoration of function must take into account not only immunomodulation, but also...
A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...
Sree Rekha Gurajala
Full Text Available This research work was initiated with a main objective of providing progressively higher degree of security in online banking (web bank ing for future generation Internet banking. The underlying knowledge models are represented using petrinet formalism in all the phases and systems. The plan is also represented using petrinets. Hierarchical timed petrinets (HTPN is used for our modeling, since it captures the temporal requirements of the real time online banking operations as well as facilitates the modeling of the large-scale system with multiple levels of abstraction. The necessary primitives for the plan representation includi ng concurrency, synchronization, temporal, activity sequencing, mutual exclusion, resource constraints and decision making actions are defined using petrinet constructs. The static and dynamic actions as well as resource modeling are illustrated using timed petri net model, developed using HPsim tool. Planning a petrinet framework is one of the easy understandable ways of representing complex problems and various issues involved. We have presented some simulation models for representing the complex web-banking model which is common for multiple banks.
Laurie J Barten
Full Text Available Laurie J Barten1, Douglas R Allington1, Kendra A Procacci2, Michael P Rivey11The University of Montana and Community Medical Center, Missoula, MT, USA; 2The University of Montana School of Pharmacy, Missoula, MT, USAAbstract: Multiple sclerosis (MS is a central nervous system chronic inflammatory disease that is characterized by an extensive and complex immune response. Scientific advances have occurred in immunology, pathophysiology, and diagnostic and clinical assessment tools, and recent discovery of unique therapeutic targets has spurred numerous Phase II and Phase III clinical trials. Reductions in MS relapse rates and improvements in T2 or gadolinium-enhancing lesion burdens have been reported from Phase III trials that include fingolimod, alemtuzumab, cladribine, and rituximab. Promising Phase II trial data exist for teriflunomide, daclizumab, laquinimod, and fumarate. The optimism created by these favorable findings must be tempered with evaluation of the adverse effect profile produced by these new agents. Given the discovery of progressive multifocal leukoencephalopathy with the use of natalizumab, ongoing vigilance for rare and life-threatening reactions due to new agents should be paramount. Patients with MS often experience difficulty with ambulation, spasticity, and cognition. Recent clinical trial data from two Phase III dalfampridine-SR trials indicate certain patients receive benefits in ambulation. This article provides an overview of data from clinical trials of newer agents of potential benefit in MS.Keywords: multiple sclerosis, Phase II trials, Phase III trials, progressive multifocal leukoencephalopathy, monoclonal antibody
Grühn, Daniel; Cheng, Yanhua
Montepare suggested the use of a self-correcting approach to multiple-choice tests: Students first take the exam as usual, but are allowed to hand in a self-corrected version afterwards. The idea of this approach is that the additional interaction with the material may foster further learning. To examine whether such an approach actually improves…
田兆青; 来新民; 林忠钦
Dimensional quality is one of the most critical challenges in industries, which uses the multistage manufacturing process (MMP) such as assembly and machining for automotive and aerospace industries. According to investigations, fixture faults accounted for 72% of all the dimensional faults. Previous studies focused on only one fault or multiple faults occurred in one station or one fault in multiple stations, but these cases rarely appear in the real manufacturing. This paper presents a method for diagnosis of multiple fixture faults in the multi-station manufacturing process. The proposed method is based on the state space model of the MMP processes, which carries the information of the fixture layout geometry and sensor position. To identify the root cause, three continuous steps were used: a) development of the state space model and the construction of the statistics variables on offline mode, b) measurement of the coordinate measuring machines data on online mode and calculation of the statistics variables, and c) diagnostic algorithm for identifying the root cause. The presented paper integrates the state space model of the manufacturing processes and hypothesis test considering the impact of the measure noises. A case study verifies the proposed method.
Suzanne Winbauer Catana
Full Text Available This paper uses a multiple case study to suggest the effectiveness in application of an integrated model for the design of sustainable change strategies in high velocity environments and organizations. The model integrates awareness of current organizational cultural characteristics with leadership intent and strategy formation. The cultural analysis provides a lens through which diverse organizational values are exposed and stakeholders can assess organizational alignment with the external environment, organizational mission and future vision. Using the inherent differentiation of values as creative tensions, strategies are formulated for purposeful change to improve alignment. Leadership inquiry is used to suggest an alignment of personal intent with the strategic initiatives to project sustainable change. This Values, Inquiry, and Tensions Alignment for Leadership model (VITAL is applied as an intervention sequence which provides information, direction, and motivation for sustainable change in transition organizations and environments.
Sherbet, Gajanan V
The development and evolution of targeted therapy to any disease require the identification of targets amenable to treatment of patients. Here the pathogenetic signalling systems involved in multiple sclerosis are scrutinised to locate nodes of deregulation and dysfunction in order to devise strategies of drug development for targeted intervention. Oliogoclonal bands (OCB) are isoelectric focusing profiles of immunoglobulins synthesised in the central nervous system. OCBs enable the diagnosis of multiple sclerosis with high sensitivity and specificity and are related to the course of the disease and progression. The OCB patterns can be linked with the expression of angiogenic molecular species. Angiogenic signalling which has also been implicated in demyelination provides the option of using angiogenesis inhibitors in disease control. The PI3K (phosphoinositide 3-kinase)/Akt axis has emerged with a key role in myelination with its demonstrable links with mTOR mediated transcription of downstream target genes. Inflammatory signals and innate and acquired immunity from the activation of NF-κB (nuclear factor κB) responsive genes are considered. NF-κB signalling could be implicated in myelination. The transcription factor STAT (signal transducers and activators of transcription) and the EBV (Epstein- Barr virus) transcription factor BZLF1 contributing significantly to the disease process are a major environmental factor linked to MS. EBV can activate TGF (transforming growth factor) and VEGF (vascular endothelial growth factor) signalling. EBV microRNAs are reviewed as signalling mediators of pathogenesis. Stem cell transplantation therapy has lately gained much credence, so the current status of mesenchymal and hematopoietic stem cell therapy is reviewed with emphasis on the differential expression immune-related genes and operation of signalling systems. PMID:26560895
Full Text Available With the very recent market approval of pitolisant (Wakix®, the interest in clinical applications of novel multifunctional histamine H3 receptor antagonists has clearly increased. Since histamine H3 receptor antagonists in clinical development have been tested for a variety of different indications, the combination of pharmacological properties in one molecule for improved pharmacological effects and reduced unwanted side-effects is rationally based on the increasing knowledge on the complex neurotransmitter regulations. The polypharmacological approaches on histamine H3 receptor antagonists on different G-protein coupled receptors, transporters, enzymes as well as on NO-signaling mechanism are described, supported with some lead structures.
Cheng, Kuangyou B; Yeh, Chih-Kuo
In human balance recovery, different strategies have been proposed with generally overlooked knee motions but extensive focus on the ankle, hip, and step strategies. It is not well understood whether maintaining balance is regulated at the lower "muscular-articular" level of coordinating segment joints or at a higher level of controlling whole body dynamics. Whether balance control is to minimize joint degrees of freedom (DOF) or utilize all the available DOF also remains unclear. This study aimed to use a realistic musculoskeletal human model to identify multiple balance recovery strategies with a single optimization criterion. Movements were driven by neural excitations (which activated muscle force generation) and were assumed to be symmetric. Balance recoveries were simulated with forward-inclined straight body postures as the initial conditions. When the position of the toes was fixed, balance was regained with virtually straight knees and mixed ankle/hip strategies. Under a severely perturbed condition, use of the forward hop strategy after releasing the fixed-toes constraint indicated spontaneous recruitment or suppression of DOF, which mimicked functions of optimally computed CNS commands in humans. The results also indicated that increase/decrease in the number of DOF depends on the imposed perturbation intensity and movement constraints. PMID:26519905
Gwyn, S. D. J.
The Solar System Object Image Search (SSOIS) tool at the Canadian Astronomy Data Centre allows users to search for images of moving objects taken with a large number of ground-based and space-based telescopes. (Gwyn et al. 2012). The ever-growing list of telescopes includes HST, Subaru, CFHT, Gemini, SDSS, AAT, NEAT, NOAO, WISE and the ING and ESO telescopes. The first step in constructing SSOIS is to agregate the metadata from the various archives. An effective search requires the RA, Dec, and time of the exposure, and the field of view of the instrument. The archives are extremely hetergeneous; in some cases the interface dates back to the 1990s. After scraping these archives, four lessons have been learned: 1) The more primitive the archive, the easier it is to scrape. 2) Simple Image Access Protocol (SIAP) is not an effective means of scraping archives. 3) When scraping an archive with multiple queries, the queries should be done by time rather by than sky position. 4) Retrieving the metadata is relatively easy, the hard work is in the quality control and understanding each telescope/instrument.
Zhang, Tao; Zheng, Yi; Zhao, Dongyang; Yan, Jingmin; Sun, Chongliang; Zhou, Yifa; Tai, Guihua
Although several approaches have been used to evaluate binding of carbohydrates to lectins, results are not always comparable, especially with larger polysaccharides. Here, we quantitatively assessed and compared binding of pectin-derived polysaccharides to galectin-3 (Gal-3) using five methods: surface plasmon resonance (SPR), bio-layer interferometry (BLI), fluorescence polarization (FP), competitive fluorescence-linked immunosorbance (cFLISA), and the well-known cell-based hemagglutination assay (G3H). Our studies revealed that whereas Gal-3-pectin binding parameters determined by SPR and BLI were comparable and correlated with inhibitory potencies from the G3H assay, results using FP and cFLISA assays were highly variable and depended greatly on the probe and mass of the polysaccharide. In the cFLISA assay, for example, pectins showed no inhibition when using the DTAF-labeled asialofetuin probe, but did when using a DTAF-labeled pectin probe. And the FP approach with the DTAF-lactose probe did not work on polysaccharides and large galactan chains, although it did work well with smaller galactans. Nevertheless, even though results derived from all of these methods are in general agreement, derived KD, IC50, and MIC values do differ. Our results reflect the variability using various techniques and therefore will be useful to investigators who are developing pectin-derived Gal-3 antagonists as anti-cancer agents. PMID:27328612
Petersen, Hanne Løhmann; Madsen, Oli B.G.
This paper introduces the double travelling salesman problem with multiple stacks and presents four different metaheuristic approaches to its solution. The double TSP with multiple stacks is concerned with determining the shortest route performing pickups and deliveries in two separated networks...
Stubbs, Derek F.
We briefly review the concept of computer aided medical diagnosis and more extensively review the the existing literature on neural network applications in the field. Neural networks can function as simple expert systems for diagnosis or prognosis. Using a public database we develop a neural network for the diagnosis of a major presenting symptom while discussing the development process and possible approaches. MEDICAL EXPERTS SYSTEMS COMPUTER AIDED DIAGNOSIS Biomedicine is an incredibly diverse and multidisciplinary field and it is not surprising that neural networks with their many applications are finding more and more applications in the highly non-linear field of biomedicine. I want to concentrate on neural networks as medical expert systems for clinical diagnosis or prognosis. Expert Systems started out as a set of computerized " ifthen" rules. Everything was reduced to boolean logic and the promised land of computer experts was said to be in sight. It never came. Why? First the computer code explodes as the number of " ifs" increases. All the " ifs" have to interact. Second experts are not very good at reducing expertise to language. It turns out that experts recognize patterns and have non-verbal left-brain intuition decision processes. Third learning by example rather than learning by rule is the way natural brains works and making computers work by rule-learning is hideously labor intensive. Neural networks can learn from example. They learn the results
Dungait, Jennifer; Beniston, Joshua; Lal, Rattan; Horrocks, Claire; Collins, Adrian; Mariappen, Sankar; Quine, Timothy
Established biogeochemical techniques are used to trace organic inputs typically derived directly or indirectly from plants into soils, sediments and water using lipid biomarkers. Recently, advances in bulk and compound specific stable 13C isotope analyses have provided novel ways of exploring the source and residence times of organic matter in soils using the natural abundance stable 13C isotope signature of C3 and C4 plant end member values. However, the application of biogeochemical source tracing technologies at the molecular level at field to catchment scales has been slow to develop because of perceived problems with dilution of molecular-scale signals. This paper describes the results of recent experiments in natural and agricultural environments in the UK (Collins et al., 2013; Dungait et al., 2013) and United States (Beniston et al., submitted) that have successfully applied new tracing techniques using stable 13C isotope and complementary approaches to explore the transport of sediment-bound organic carbon at a range of scales from the small plot (m2) to field (ha) and small catchment (10's ha). References Beniston et al (submitted) The effects of crop residue removal on soil erosion and macronutrient dynamics on soils under no till for 42 years. Biogeosciences Collins et al (2013) Catchment source contributions to the sediment-bound organic matter degrading salmonid spawning gravels in a lowland river, southern England. Science of the Total Environment 456-457, 181-195. Dungait et al (2013) Microbial responses to the erosional redistribution of soil organic carbon in arable fields. Soil Biology and Biochemistry 60, 195-201. Puttock et al (2012) Stable carbon isotope analysis of fluvial sediment fluxes over two contrasting C4-C3 semi-arid vegetation transitions. Rapid Communications in Mass Spectrometry 26, 2386-2392.
Full Text Available Good use of multiple representations is considered key to learning physics, and so there is considerable motivation both to learn how students use multiple representations when solving problems and to learn how best to teach problem solving using multiple representations. In this study of two large-lecture algebra-based physics courses at the University of Colorado (CU and Rutgers, the State University of New Jersey, we address both issues. Students in each of the two courses solved five common electrostatics problems of varying difficulty, and we examine their solutions to clarify the relationship between multiple representation use and performance on problems involving free-body diagrams. We also compare our data across the courses, since the two physics-education-research-based courses take substantially different approaches to teaching the use of multiple representations. The course at Rutgers takes a strongly directed approach, emphasizing specific heuristics and problem-solving strategies. The course at CU takes a weakly directed approach, modeling good problem solving without teaching a specific strategy. We find that, in both courses, students make extensive use of multiple representations, and that this use (when both complete and correct is associated with significantly increased performance. Some minor differences in representation use exist, and are consistent with the types of instruction given. Most significant are the strong and broad similarities in the results, suggesting that either instructional approach or a combination thereof can be useful for helping students learn to use multiple representations for problem solving and concept development.
Full Text Available Problem statement: A valuable Source of plant and animal various species in the west of Iran is Zagros forests that, misuses by foresters and local societies has caused severe degradation. In this study, forest areas ecological assessment was carried out with a (GIS-based MCDM approach for multiple-use planning in order to reduce degradation and improving sustainability. Approach: All of possible land uses were evaluated separately. The AHP was used to defining weight of criteria and sub-criteria. Sub-criteria were mapped at GIS environment using available data, fieldwork and IRSp6 data. A priority map for each land use was created using GIS-based WLC model. The final priority map was produced of overlying all priority maps. Ecological capability map were generated with editing priority map using present land use map, IRSp6 data, forest laws and fieldwork. Results: The Weights of criteria and sub- criteria was defined for all land uses with CRConclusion: The results of this study showed that various land uses meaning multiple-use can be exist in area study that executing of those will be cause decreasing of foresters dependence to forest trees, decreasing of degradation and forest sustainability. Thus, this integrated approach could be benefit forest planners and decision makers. Recommendation: Through this study, we aimed at suggesting to forest management and other stakeholders an approach that is scientifically sound and practical.
López Góngora, Mariana
La esclerosis múltiple (EM) es una enfermedad inflamatoria, desmielinizante y neurodegenerativa del sistema nervioso central y principal causa de discapacidad en el adulto joven. Aunque su causa es desconocida, se ha observado que se desarrolla en personas con una susceptibilidad genética que se exponen a ciertos factores medioambientales. En la historia natural de la enfermedad, las alteraciones cognitivas son frecuentes y se manifiestan en un 40 a 65% de pacientes. Están presentes desde...
Roberto E. Sica
La esclerosis lateral amiotrófica (ELA) es considerada una enfermedad primaria de las motoneuronas. Ninguno de los procesos que conforman su patogenia ha probado ser su causa. Tampoco pudo demostrarse que factores ambientales la originen. Las neuronas mueren por apoptosis, hecho que abre la posibilidad de que ello sea debido a cambios en su ambiente, sin que constituyan el blanco directo de la noxa que ocasiona la enfermedad. El examen del medio que circunda a las motoneuronas encuentra a los...
Ngu, Bing Hiong; Yeung, Alexander Seeshing
Holyoak and Koh (1987) and Holyoak (1984) propose four critical tasks for analogical transfer to occur in problem solving. A study was conducted to test this hypothesis by comparing a multiple components (MC) approach against worked examples (WE) in helping students to solve algebra word problems in chemistry classes. The MC approach incorporated…
False sharing is one of the most important factors impacting the performance of DSM (distributed shared memory) systems. The single-writer ap proach is simple, but it cannot avoid the ping-pong effect of the data page thrashing, while the multiple-writer approach is effective for false sharing but with high cost. This paper proposes a new approach, called limited multiple-writer (LMW) to han dling multiple writers in software DSM. It distinguishes two kinds of multiple-writer as lock-based form and barrier-based form, and handles them with different policies. It discards the Twin and Diff in traditional multiple-writer approach, and simplifies the implementation of niultiple-writer in software DSM systems. The implementa tion of LMW in a CVM (Coherent Virtual Machine) software DSM system, which is based on a network of workstations, is introduced. Evaluation results show that for some applications such as SOR (Successive Over-Relaxation), LU (Lower triangular and Upper triangular), FFT (Fast Fourier Transformation), and IS (Integer Sorting), LMW provides a significant reduction inexecution time (11%, 16%, 33% and 46%) compared with the traditional multiple-writer approach on the platform.
In 2003 COHN and UMANS introduced a group-theoretic approach to fast matrix multiplication. This involves finding large subsets S, T and U of a group G satisfying the Triple Product Property (TPP) as a means to bound the exponent $\\omega$ of the matrix multiplication. We show that S, T and U may be be assumed to contain the identity and be otherwise disjoint. We also give a much shorter proof of the upper bound |S|+|T|+|U| <= |G|+2.
Kholopov, Eugene V.
Within investigating the multiple charge spreading generalizing the Bertaut approach, a set of confined spreading functions with a polynomial behaviour, but defined so as to enhance the rate of convergence of Coulomb series even upon a single spreading, is proposed. It is shown that multiple spreading is ultimately effective especially in the case when the spreading functions of neighbouring point charges overlap. In the cases of a simple exponential and a Gaussian spreading functions the eff...
[english] Numerous studies provide evidence that the learning approach of students has an influence on their academic performance in examinations. As part of the 2001 reform of the medical curriculum at the Medical University of Vienna, a new assessment system was implemented for knowledge testing that predominantly relies on multiple-choice examinations. The principal purpose of this study was to clarify the question to what extent this rather strong concentration on multiple-choice questio...
Umair, Aisha; Clausen, Anders; Jørgensen, Bo Nørregaard
. The proposed approach can solve negotiation problems with interdependent issues across multiple coupled control domains. We demonstrate our approach by solving a coordination problem where a Combined Heat and Power Plant must allocate electricity for three commercial greenhouses to ensure the required......Solving multi-objective multi-issue negotiation problems involving interdependent issues distributed among multiple control domains is inherent to most non-trivial cyber-physical systems. In these systems, the coordinated operation of interconnected subsystems performing autonomous control is...
Henningsen, Geraldine; Henningsen, Arne; Jensen, Uwe
In the estimation of multiple output technologies in a primal approach, the main question is how to handle the multiple outputs. Often an output distance function is used, where the classical approach is to exploit its homogeneity property by selecting one output quantity as the dependent variable......, dividing all other output quantities by the selected output quantity, and using these ratios as regressors (OD). Another approach is the stochastic ray production frontier (SR) which transforms the output quantities into their Euclidean distance as the dependent variable and their polar coordinates......, on average none of the approaches is superior. However, considerable differences are found between the estimates at single replications. In the case of zero values in the output quantities, the SR clearly outperforms the OD, although this advantage nearly vanishes when zeros are replaced by a small number....
Marisol Silva; Silvia Solis; Elba Pérez; Oscar A. Martínez
La Esclerosis Múltiple es una enfermedad inflamatoria desmielinizante del Sistema Nervioso Central, que se presenta con más frecuencia en mujeres, lo cual sugiere que las hormonas sexuales parecen modular la manifestación de la sintomatología. La actividad electroencefalografíca no ha sido evaluada en mujeres con Esclerosis Múltiple durante el procesamiento de Memoria de Trabajo y su estado hormonal. Los registros se realizaron en las fases folicular y lútea del ciclo menstrual de manera simu...
Herrero Latorre, Raquel; Polo Llorens, Vicente; Frezzotti, Pablo; García Martín, Elena
Introducción: El tema principal de las cuatro publicaciones internacionales que componen esta tesis doctoral se centra en el estudio de la capa de fibras nerviosas de la retina en pacientes con esclerosis múltiple como método para mejorar y acelerar el proceso diagnóstico así como el seguimiento y la monitorización de esta enfermedad. Material y Métodos: Se realizó un estudio observacional y prospectivo donde se incluyeron 150 sujetos con esclerosis múltiple y 150 sujetos sanos. El protoc...
Lee, Jimin; Hustad, Katherine C.; Weismer, Gary
Purpose: Speech acoustic characteristics of children with cerebral palsy (CP) were examined with a multiple speech subsystems approach; speech intelligibility was evaluated using a prediction model in which acoustic measures were selected to represent three speech subsystems. Method: Nine acoustic variables reflecting different subsystems, and…
Seismic Soil-Structure Interaction (SSI) analysis has been performed for a site with deeply embedded multiple power block structures. The new method employed combines the computational advantages of the Continuum Impedance Approach together with the Substructure Deletion/Boundary Element Method to accurately predict the 3-Dimensional seismic response of structures. (author)
Nabie, Michael Johnson; Raheem, Kolawole; Agbemaka, John Bijou; Sabtiwu, Rufai
The study explored the curriculum guidelines and primary school teachers' conceptions and practices of the Multiple Solutions Approach (MSA) in teaching mathematics using basic qualitative research design. Informal conversation interviews (ICIs), observations, video and document analyses were used to collect data. Participants included a purposive…
José Carrón Sánchez
Full Text Available La evolución en el paradigma desde el que se contempla la discapacidad, y en concreto la esclerosis múltiple, ha estado marcada por los cambios en el concepto de salud, en el avance en los derechos sociales subjetivos y en la implantación progresiva de un modelo inclusivo para su abordaje. Con esta investigación se pretende responder a las preguntas de ese nuevo paradigma, revisando la situación epidemiológica, los estudios anteriores, y el desarrollo de una metodología complementaria desde lo cuantitativo y lo cualitativo. El trabajo de campo –desarrollado en el ámbito de la Comunidad Foral de Navarra– y su posterior análisis nos ofrece una prevalencia considerablemente mayor que la habitualmente manejada hasta ahora, un perfil con características bastante estables en el que destaca el importante grado incapacitante y su correlato socioeconómico, y el aumento en los tratamientos farmacológicos respecto a datos anteriores. La ausencia de una respuesta curativa y el avance en las terapias paliativas exigen, como paso ineludible, la necesidad de poner el foco en aquellos aspectos que mejoren la calidad de vida de las personas afectadas y su entorno.
Sudha Sadasivam, G; Baktavatchalam, G
Multiple alignment of protein sequences helps to determine evolutionary linkage and to predict molecular structures. The factors to be considered while aligning multiple sequences are speed and accuracy of alignment. Although dynamic programming algorithms produce accurate alignments, they are computation intensive. In this paper we propose a time efficient approach to sequence alignment that also produces quality alignment. The dynamic nature of the algorithm coupled with data and computational parallelism of hadoop data grids improves the accuracy and speed of sequence alignment. The principle of block splitting in hadoop coupled with its scalability facilitates alignment of very large sequences. PMID:21224205
Martín Bravo, Beatriz
Dentro de las enfermedades neurodegenerativas progresivas se encuentra la esclerosis lateral amiotrófica (ELA), considerada una enfermedad devastadora debido a su carácter progresivo e invalidante, que lleva al paciente a una completa dependencia en cuestión de años e, inevitablemente, a la muerte. Supone un problema importante de salud por el tremendo sufrimiento que causa a pacientes y familiares. Sin embargo, con una correcta coordinación multidisciplinar aumentar la supervivencia en ci...
Atencia Cibreiro, María Gabriela
La Esclerosis Lateral Amiotrófica (ELA) es una enfermedad neurodegenerativa en la que mueren progresivamente las neuronas motoras de la corteza cerebral y la médula, con la consiguiente atrofia de los músculos inervados por ellas. Si bien últimamente han aparecido distintos modelos animales para el estudio de la ELA, los ratones que sobre-expresan el gen SOD1 humano con la mutación G93A, son los más utilizados. Estos son los animales que empleamos en nuestro estudio, en el cual evaluamos un i...
Forero Botero , César Augusto
Introducción: La esclerosis lateral amiotrófica (ELA) es la más frecuente del grupo de las enfermedades motoneuronales, aunque inicialmente se había considerado que estaba circunscrita a las neuronas del asta ventral y la corteza motora, nuevos hallazgos han demostrado la clara asociación con la demencia frontotemporal (DFT). Se ha reportado que hasta un 51% de los pacientes con ELA presentan algún grado de compromiso cognoscitivo. Resultados: Se reclutaron 7 pacientes con diagnóstico de E...
Manzano Martínez, Raquel; Osta Pinzolas, María Rosario
La Esclerosis Lateral Amiotrófica (ELA) es una enfermedad neurodegenerativa caracterizada por la pérdida de neuronas motoras. Debido a su estrecha relación con el mantenimiento y supervivencia de las neuronas motoras, el músculo esquelético se ha revelado como un elemento esencial en el desarrollo de la enfermedad. En esta Tesis Doctoral se ha realizado un estudio de la capacidad de respuesta del músculo esquelético y de sus células madre satélite en el modelo murino de ELA SOD1-G93A. Se ha d...
Domínguez Mozo, María Inmaculada
La esclerosis múltiple (EM) es una enfermedad desmielinizante inflamatoria crónica que afecta al sistema nervioso central (SNC) y cuyo origen es presumiblemente autoinmune, siendo en los países desarrollados la segunda causa de discapacidad entre personas jóvenes después de los accidentes de tráfico. Durante los últimos años se han desarrollado, o actualmente están en ensayo clínico, una gran cantidad de fármacos para tratar esta patología. Entre todos ellos cabe destacar natalizumab, u...
Melenge Díaz, Brigitte
Introducción: La esclerosis lateral amiotrófica (ELA) es una enfermedad neurodegenerativa devastadora que se manifiesta por debilidad muscular y produce dificultades progresivas de movilización, comunicación, alimentación y, en última instancia, respiración, creando una dependencia creciente de familiares y de otros cuidadores La experiencia de cuidado demanda esfuerzo físico, emocional y social requiriendo todo tipo de apoyos, en especial aquellos que brinda la tecnología para proveer soport...
Lara, Silvia; Kirchner, Teresa
La Esclerosis Múltiple (EM) es una enfermedad neurodegenerativa que lleva implícita no sólo limitaciones físicas, sino también numerosos estresores psicosociales. Los objetivos de este estudio son: 1) analizar los problemas más comúnmente narrados por afectados de EM, la intensidad de estrés que les generan, el grado de control percibido sobre ellos y las estrategias de afrontamiento que utilizan para minimizar su impacto 2) contrastar el nivel de estrés, de control sobre el estresor y el uso...
Concejero Gómez de Salazar, Belén
Este trabajo establece una visión general de la esclerosis múltiple tratando los siguientes puntos: Concepto, historia, diagnóstico, anatomía, epidemiología, etiología, pronóstico y alteraciones asociadas. Se centra en los trastornos motores, en los cognitivos y en la fatiga para estudiar las posibles repercusiones en el tratamiento de Fisioterapia. Bajo la perspectiva de un equipo interdisciplinar se desarrollan unas pautas que puedan ayudar al fisioterapeuta en el manejo del paciente con E...
Comabella López, Manuel
El interferón-beta (IFNβ) es un tratamiento parcialmente efectivo en pacientes con esclerosis múltiple remitente-recurrente (EMRR). Disminuye el número de brotes y reduce la actividad y carga lesional de la enfermedad medidas por resonancia magnética. Sin embargo, el coste del IFNβ es elevado, el tratamiento tiene efectos secundarios y, sobretodo, existe una proporción relativamente importante de pacientes que no responden al mismo. En la actualidad, no disponemos de biomarcadores que se pued...
Romero Pinel, Lucía María
[spa] La esclerosis múltiple (EM) es una enfermedad debida a factores genéticos y ambientales. Se ha demostrado que existe agregación familiar y que los genes del haplotipo HLA-DR2 son los que mayoritariamente se asocian con la susceptibilidad a padecer la enfermedad. Si el fenotipo clínico se ve modificado en las formas familiares de EM respecto a las esporádicas o debido a determinados genes es un tema de constante estudio. HIPÓTESIS: Si existen diferencias clínicas entre formas familiares ...
Evangelina Cores; Sandra Vanotti; Paula Moyano; Mabel Osorio; Daniel Politis; Orlando Garcea
El PASAT es una herramienta de evaluación neuropsicológica frecuentemente implementada en la clínica de pacientes con Esclerosis Múltiple (EM). Este estudio se propone analizar las estrategias de resolución del PASAT y establecer la sensibilidad de una versión corta de 30 ítems y otra de 20 ítems en pacientes con EM. Metodología: Se administró una batería neuropsicológica a 38 pacientes con EM curso recaídas y remisiones y 32 voluntarios sanos de similar edad y escolaridad. Resultados: El PAS...
Malagelada Seckler, Ana
En la Esclerosis Múltiple (EM) existe una agregación familiar que viene demostrada por la mayor incidencia de la enfermedad en los familiares de los pacientes, la elevada concordancia en los gemelos monocigotos y la existencia de una susceptibilidad genética ligada a determinados haplotipos del sistema HLA. Por otro lado, existen evidencias del carácter autoinmune de la EM y el aumento de la incidencia de otras enfermedades autoinmunes en los familiares de los pacientes. Hemos querido comprob...
Pérez Conesa, Mercedes Pilar; Ara Callizo, José Ramón; Velilla Marco, José
Uno de los principales tratamientos de la esclerosis múltiple (EM) es el Interferón. Un 30% de los pacientes no responden al mismo. Nuestra hipótesis es que los cambios precoces inducidos por Interferón en el colesterol, los triglicéridos y el ácido úrico son predictores de respuesta al tratamiento. Se realizó un estudio observacional prospectivo que incluyó 150 pacientes con EM que iban a iniciar tratamiento con Interferón beta. Se realizaron controles clínicos y analíticos previos al tratam...
Full Text Available Multi-path routing allows building and use of multiple paths for routing between a source-destination pair. This paper investigates the problem of selecting multiple routing paths to provide better reliability and load balancing in wireless mesh networks with stationary nodes. Previous work has investigated the use of additional data redundancy to improve the throughput of the network. In these specific cases, node disjoint-ness property of the multiple paths is required. In this work we investigate multipath routing without packet duplication, and no disjointed paths for achieving better performance in terms of packet delivery rate and low delay. We propose a very simple reactive on-demand distance vector routing protocol. Multiple paths built through this approach are loop-free. In order to better exploit resources redundancy (with the term resources redundancy we mean the possibility to exploit more nodes to send data packets, it is our belief that a routing protocol cannot be independent of the MAC layer. For this reason, we evaluated our routing protocol on four different MAC approaches specifically designed for Wireless Mesh Networks (WMNs. Firstly, we implemented the Coordinated Distributed Scheduler scheme of the Std. IEEE 802.16. Secondly, since some parameters have been left unstandardized in this scheme, we proposed an enhanced version of the CDS, in which a simple and dynamic criterion has been designed to set one of these parameters. Furthermore, we proposed two different scheduling schemes called Randomized- MAC (R-MAC and Distributed Scheduling Scheme (DSS. We evaluated the impact of multiple paths in respect of the single path on all the scheduler schemes cited above. Results show as the simple routing approach is effective with every MAC protocol considered.
Geryville, Hichem; Bouras, Abdelaziz; Sapidis, Nikolaos
Nowadays, to achieve competitive advantage, the industrial companies are considering that success is sustained to great product development. That is to manage the product throughout its entire lifecycle. Achieving this goal requires a tight collaboration between actors from a wide variety of domains, using different software tools producing various product data types and formats. The actors' collaboration is mainly based on the exchange /share product information. The representation of the actors' viewpoints is the underlying requirement of the collaborative product development. The multiple viewpoints approach was designed to provide an organizational framework following the actors' perspectives in the collaboration, and their relationships. The approach acknowledges the inevitability of multiple integration of product information as different views, promotes gathering of actors' interest, and encourages retrieved adequate information while providing support for integration through PLM and/or SCM collaborati...
Truisi, Germaine Loredana
A new approach was evaluated to predict the hepatotoxic potential of pharmaceuticals. For this purpose, primary rat and human hepatocytes cultured in an optimised sandwich configuration were used; thus, allowing the long-term, repeat-dosing of drugs. The strategy based on the evaluation of multiple endpoints, including cytotoxicity, biokinetic profiling, transcriptomics and proteomics. Pharmaceuticals with known toxicities and pharmacokinetic properties were used as model compounds.
Kepler Thomas B; Tomfohr John K; Lu Jun
Abstract Background In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and within library variation. Several methods have been proposed, including the t test, tw test, and an overdispersed logistic regression approach. The merits of these tests, however, have not been fully evaluated. Questions still remain on whether further improvements can be made. Results In this article, we introdu...
Wilkinson, Andrea J.; Lixia Yang
Objective. To examine plasticity of inhibition, as indexed by practice effects of inhibition tasks and the associated transfer effects, using a multiple task approach in healthy older adults. Method. Forty-eight healthy older adults were evenly assigned to either a practice group or a no-contact control group. All participants completed pretest (2.5 hours) and posttest (2 hours) sessions, with a 2-week interval in between. During the 2-week interval, only the practice group completed six 30-m...
Mingyu Fu; Jianfang Jiao
This paper investigates the coordination control of multiple marine vessels in different operational modes. Based on hybrid control theory, a novel coordinated formation control approach is proposed. The proposed method comprises several continuous state controllers and discrete event logics. Continuous controllers for coordinated formation, coordinated dynamic positioning and coordinated path following are designed, and an appropriate weighting function is given to switch between these contr...
A field theoretical formulation to multiple step excitation process in proton-nucleus collision within the context of a relativistic eikonal approach is presented. A closed form expression for the double differential cross section can be obtained whose structure is very simple and makes the physics transparent. Glauber's formulation of the same process is obtained as a limit of ours and the necessary approximations are studied and discussed. (author)
Background There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising applications such as gaining insights into bacterial drug resistance. Results Here, we propose CAMBer as an approach to support comparative analysis of multiple bacterial strains. CAMBer produces what we called multigene families. Each multigene family reveals genes that...
Ram, Nilam; Coccia, Michael; Conroy,David; Lorek, Amy; Orland, Brian; Pincus, Aaron; Sliwinski, Martin; Gerstorf, Denis
In developmental arenas, it is well accepted that multiple observations are needed to obtain a robust characterization of individuals’ behavioral tendencies across time and context. In this paper, we fuse core ideas from the study of lifespan development with intraindividual variability based approaches to personality and methods used to characterize the topography of geographic landscapes. We generalize the notion of density distributions into bivariate and multivariate space and draw parall...
Xiong, Momiao; Guo, Sunwei
The interval mapping method has been shown to be a powerful tool for mapping QTL. However, it is still a challenge to perform a simultaneous analysis of several linked QTLs, and to isolate multiple linked QTLs. To circumvent these problems, multiple regression analysis has been suggested for experimental species. In this paper, the multiple regression approach is extended to human sib-pair data through multiple regression of the squared difference in trait values between two...
Zhou, Rurui; Li, Yu; Lu, Di; Liu, Haixing; Zhou, Huicheng
This paper investigates the use of an epsilon-dominance non-dominated sorted genetic algorithm II (ɛ-NSGAII) as a sampling approach with an aim to improving sampling efficiency for multiple metrics uncertainty analysis using Generalized Likelihood Uncertainty Estimation (GLUE). The effectiveness of ɛ-NSGAII based sampling is demonstrated compared with Latin hypercube sampling (LHS) through analyzing sampling efficiency, multiple metrics performance, parameter uncertainty and flood forecasting uncertainty with a case study of flood forecasting uncertainty evaluation based on Xinanjiang model (XAJ) for Qing River reservoir, China. Results obtained demonstrate the following advantages of the ɛ-NSGAII based sampling approach in comparison to LHS: (1) The former performs more effective and efficient than LHS, for example the simulation time required to generate 1000 behavioral parameter sets is shorter by 9 times; (2) The Pareto tradeoffs between metrics are demonstrated clearly with the solutions from ɛ-NSGAII based sampling, also their Pareto optimal values are better than those of LHS, which means better forecasting accuracy of ɛ-NSGAII parameter sets; (3) The parameter posterior distributions from ɛ-NSGAII based sampling are concentrated in the appropriate ranges rather than uniform, which accords with their physical significance, also parameter uncertainties are reduced significantly; (4) The forecasted floods are close to the observations as evaluated by three measures: the normalized total flow outside the uncertainty intervals (FOUI), average relative band-width (RB) and average deviation amplitude (D). The flood forecasting uncertainty is also reduced a lot with ɛ-NSGAII based sampling. This study provides a new sampling approach to improve multiple metrics uncertainty analysis under the framework of GLUE, and could be used to reveal the underlying mechanisms of parameter sets under multiple conflicting metrics in the uncertainty analysis process.
Understanding the patterns and processes of contemporary fine sediment dynamics in river catchments constitutes a key research challenge for catchment scientists. Such knowledge has considerable value for the targeting of management resources to reduce excess fine sediment supply and its impacts on water resources and aquatic ecosystems. Many past studies tended to focus on a single compartment of the fine sediment cascade and utilised a limited range of research methods. For more holistic understanding, the use of multiple-method approaches is required to provide data on the sources, transfer, storage, and transit times of fine sediment in river catchments. Such approaches would allow scientists to better conceptualise catchment processes controlling the movement of fine sediment across a range of spatial scales. It may also enhance the scientific quality of catchment-scale studies through the acquisition of multiple lines of evidence concerning a particular research problem. The specific combination of fine sediment tracing and fingerprinting procedures with catchment sediment flux measurements and sediment budget modelling has considerable potential to enhance our knowledge of contemporary sediment dynamics. This combination of techniques offers complementary information and the opportunity to compare datasets, such as estimates of catchment sediment source contributions obtained using sediment tracers with direct measurements of sediment fluxes or catchment model outputs. This contribution explores the potential for such combinations of methods to yield distinctive insights not otherwise available from the use of only one of these techniques. It draws on published examples of multiple-method studies by the author from small agricultural and wildfire-affected forest catchments (1-2 km2) in south-east Australia and from larger agricultural river catchments (38-920 km2) in south-west England. It will also identify possible directions for catchment research based
Full Text Available This paper presents a material selection approach for selecting microstrip patch antenna substrate for WLAN applications using multiple attribute decision making (MADM approach. In this paper, different microwave dielectric materials for substrate and their properties like relative permittivity, quality factor, and temperature coefficient of the resonant frequency are taken into consideration and MADM approach is applied to select the best material for microstrip patch antenna. It is observed that Pb0.6Ca0.4ZrO3 is the best material for the antenna substrate in MPA for WLAN applications. It was observed that the proposed result is in accordance with the experimental finding thus justifying the validity of the proposed study.
Dagoberto Nicanor Cabrera Hémer
Full Text Available La esclerosis tuberosa (ET es una enfermedad autosómica dominante, que afecta muchos sistemas y cursa con diversas manifestaciones clínicas, entre ellas epilepsia, retardo mental y lesiones cutáneas. Se hizo un estudio retrospectivo para contribuir a la caracterización de la esclerosis tuberosa en Medellín, Colombia. Se revisaron 21 historias, 62% mujeres y 38% hombres; la edad media al momento del diagnóstico fue 23 meses, todos los pacientes tenían epilepsia y lesiones cutáneas, las crisis más frecuentes fueron las parciales con generalización secundaria (66%, 47% tuvieron espasmos infantiles, la mayoría presentaron dos o más tipos de crisis (90%. Todos los pacientes recibieron anticonvulsivantes, los más frecuentemente utilizados fueron: fenobarbital, ácido valproico, vigabatrina, carbamazepina y clonazepam. En general, la mayoría de los pacientes requirieron varios medicamentos durante la evolución de su enfermedad y los pocos que lograron un adecuado control de la epilepsia, lo hicieron con anticonvulsivantes de primera generación. CONCLUSIÓN:las características de nuestra serie son similares a las reportadas en la literatura mundial. Los antiepilépticos de primera generación siguen siendo la principal herramienta terapéutica para el tratamiento inicial de los pacientes Medellín.
Zafalon, G. F. D.; Visotaky, J. M. V.; Amorim, A. R.; Valêncio, C. R.; Neves, L. A.; de Souza, R. C. G.; Machado, J. M.
The computational tools to assist genomic analyzes show even more necessary due to fast increasing of data amount available. With high computational costs of deterministic algorithms for sequence alignments, many works concentrate their efforts in the development of heuristic approaches to multiple sequence alignments. However, the selection of an approach, which offers solutions with good biological significance and feasible execution time, is a great challenge. Thus, this work aims to show the parallelization of the processing steps of MSA-GA tool using multithread paradigm in the execution of COFFEE objective function. The standard objective function implemented in the tool is the Weighted Sum of Pairs (WSP), which produces some distortions in the final alignments when sequences sets with low similarity are aligned. Then, in studies previously performed we implemented the COFFEE objective function in the tool to smooth these distortions. Although the nature of COFFEE objective function implies in the increasing of execution time, this approach presents points, which can be executed in parallel. With the improvements implemented in this work, we can verify the execution time of new approach is 24% faster than the sequential approach with COFFEE. Moreover, the COFFEE multithreaded approach is more efficient than WSP, because besides it is slightly fast, its biological results are better.
Full Text Available Usually, primary hyperparathyroidism is the first endocrinopathy to be diagnosed in patients with multiple endocrine neoplasia type 1, and is also the most common one. The timing of the surgery and strategy in multiple endocrine neoplasia type 1/hyperparathyroidism are still under debate. The aims of surgery are to: 1 correct hypercalcemia, thus preventing persistent or recurrent hyperparathyroidism; 2 avoid persistent hypoparathyroidism; and 3 facilitate the surgical treatment of possible recurrences. Currently, two types of surgical approach are indicated: 1 subtotal parathyroidectomy with removal of at least 3-3 K glands; and 2 total parathyroidectomy with grafting of autologous parathyroid tissue. Transcervical thymectomy must be performed with both of these procedures. Unsuccessful surgical treatment of hyperparathyroidism is more frequently observed in multiple endocrine neoplasia type 1 than in sporadic hyperparathyroidism. The recurrence rate is strongly influenced by: 1 the lack of a pre-operative multiple endocrine neoplasia type 1 diagnosis; 2 the surgeon's experience; 3 the timing of surgery; 4 the possibility of performing intra-operative confirmation (histologic examination, rapid parathyroid hormone assay of the curative potential of the surgical procedure; and, 5 the surgical strategy. Persistent hyperparathyroidism seems to be more frequent after subtotal parathyroidectomy than after total parathyroidectomy with autologous graft of parathyroid tissue. Conversely, recurrent hyperparathyroidism has a similar frequency in the two surgical strategies. To plan further operations, it is very helpful to know all the available data about previous surgery and to undertake accurate identification of the site of recurrence.
Nair, Ajay K; Sasidharan, Arun; John, John P; Mehrotra, Seema; Kutty, Bindu M
The present study describes the development of a neurocognitive paradigm: "Assessing Neurocognition via Gamified Experimental Logic" (ANGEL), for performing the parametric evaluation of multiple neurocognitive functions simultaneously. ANGEL employs an audiovisual sensory motor design for the acquisition of multiple event related potentials (ERPs)-the C1, P50, MMN, N1, N170, P2, N2pc, LRP, P300, and ERN. The ANGEL paradigm allows assessment of 10 neurocognitive variables over the course of three "game" levels of increasing complexity ranging from simple passive observation to complex discrimination and response in the presence of multiple distractors. The paradigm allows assessment of several levels of rapid decision making: speeded up response vs. response-inhibition; responses to easy vs. difficult tasks; responses based on gestalt perception of clear vs. ambiguous stimuli; and finally, responses with set shifting during challenging tasks. The paradigm has been tested using 18 healthy participants from both sexes and the possibilities of varied data analyses have been presented in this paper. The ANGEL approach provides an ecologically valid assessment (as compared to existing tools) that quickly yields a very rich dataset and helps to assess multiple ERPs that can be studied extensively to assess cognitive functions in health and disease conditions. PMID:26858586
M. Puche Torres
Full Text Available Introducción: Las anomalías vasculares son procesos frecuentes que se localizan en más del 50% de los casos en la región de la cabeza y el cuello. Las técnicas clásicas de tratamiento, tales como la cirugía y la esclerosis química, han dado paso a modernas técnicas menos invasivas, tales como el láser Nd:YAG. Por otra parte, se ha utilizado con éxito el láser de diodo (980 nm para el tratamiento de varices mediante esclerosis endoluminal. Nuestra propuesta es la utilización del láser de diodo (l 980 nm para provocar una esclerosis por fotocoagulación intralesional de las malformaciones venosas de bajo flujo dada la capacidad de este láser de ser transmitido por fibra óptica. Objetivo: Exponer nuestros resultados en el tratamiento de malformaciones venosas de bajo flujo (MVBF orofaciales mediante la terapéutica de esclerosis endoluminal con láser de diodo. Material y métodos: Revisamos 84 pacientes que presentaban MVBF orofaciales tratados con láser de diodo. Describimos la técnica de realización y se muestran los resultados postoperatorios a corto plazo. Resultados: Tras un periodo de seguimiento no inferior a 12 meses se constató curación en el 95,24% aplicando una o dos sesiones y solamente en 4 casos se objetivó recidiva. Concluimos que la técnica de esclerosis endoluminal con láser de diodo de MVBF en el área orofacial se constituye como una nueva técnica de tratamiento, mínimamente invasiva, ambulatoria, y que permite la resolución de los casos sin tener que recurrir a cirugías más agresivas y con excelentes resultados funcionales y estéticos.Background: Vascular anomalies are common processes that involve the head and neck region in more than 50% of the cases. Traditional treatment options such as surgery and chemical sclerosis have given way to modern less-invasive techniques, including Nd:YAG laser treatment. On the other hand, 980 nm laser diode has been successfully used for the endovenous sclerosis
Multiple signal classification (MUSIC) imaging method and the least squares method are applied to solve the electromagnetic inverse scattering problem of determining the locations and polarization tensors of a collection of small objects embedded in a known background medium. Based on the analysis of induced electric and magnetic dipoles, the proposed MUSIC method is able to deal with some special scenarios, due to the shapes and materials of objects, to which the standard MUSIC doesn't apply. After the locations of objects are obtained, the nonlinear inverse problem of determining the polarization tensors of objects accounting for multiple scattering between objects is solved by a non-iterative analytical approach based on the least squares method
Linwood Hagan Pendleton
Full Text Available Ocean acidification, climate change, and other environmental stressors threaten coral reef ecosystems and the people who depend upon them. New science reveals that these multiple stressors interact and may affect a multitude of physiological and ecological processes in complex ways. The interaction of multiple stressors and ecological complexity may mean that the negative effects on coral reef ecosystems will happen sooner and be more severe than previously thought. Yet, most research on the effects of global change on coral reefs focus on one or few stressors and pathways or outcomes (e.g. bleaching. Based on a critical review of the literature, we call for a regionally targeted strategy of mesocosm-level research that addresses this complexity and provides more realistic projections about coral reef impacts in the face of global environmental change. We believe similar approaches are needed for other ecosystems that face global environmental change.
Hayashi, Yusuke; Tsunashima, Hitoshi; Marumo, Yoshitaka
This paper demonstrates the possibility to detect suspension failures of railway vehicles using a multiple-model approach from on-board measurement data. The railway vehicle model used includes the lateral and yaw motions of the wheelsets and bogie, and the lateral motion of the vehicle body, with sensors measuring the lateral acceleration and yaw rate of the bogie, and lateral acceleration of the body. The detection algorithm is formulated based on the Interacting Multiple-Model (IMM) algorithm. The IMM method has been applied for detecting faults in vehicle suspension systems in a simulation study. The mode probabilities and states of vehicle suspension systems are estimated based on a Kalman Filter (KF). This algorithm is evaluated in simulation examples. Simulation results indicate that the algorithm effectively detects on-board faults of railway vehicle suspension systems.
Highlights: → A new hybrid PSO for optimal DGs placement and sizing. → Statistical analysis to fine tune PSO parameters. → Novel constraint handling mechanism to handle different constraints types. - Abstract: An improved particle swarm optimization algorithm (PSO) is presented for optimal planning of multiple distributed generation sources (DG). This problem can be divided into two sub-problems: the DG optimal size (continuous optimization) and location (discrete optimization) to minimize real power losses. The proposed approach addresses the two sub-problems simultaneously using an enhanced PSO algorithm capable of handling multiple DG planning in a single run. A design of experiment is used to fine tune the proposed approach via proper analysis of PSO parameters interaction. The proposed algorithm treats the problem constraints differently by adopting a radial power flow algorithm to satisfy the equality constraints, i.e. power flows in distribution networks, while the inequality constraints are handled by making use of some of the PSO features. The proposed algorithm was tested on the practical 69-bus power distribution system. Different test cases were considered to validate the proposed approach consistency in detecting optimal or near optimal solution. Results are compared with those of Sequential Quadratic Programming.
Full Text Available Many multiple testing procedures (MTP have been developed in recent years. Among these new procedures, the graphical approach is flexible and easy to communicate with non-statisticians. A hypothetical Phase III clinical trial design is introduced in this manuscript to demonstrate how graphical approach can be applied in clinical product development. In this design, an active comparator is used. It is thought that this test drug under development could potentially be superior to this comparator. For comparison of efficacy, the primary endpoint is well established and widely accepted by regulatory agencies. However, an important secondary endpoint based on Phase II findings looks very promising. The target dose may have a good opportunity to deliver superiority to the comparator. Furthermore, a lower dose is included in case the target dose may demonstrate potential safety concerns. This Phase III study is designed as a non-inferiority trial with two doses, and two endpoints. This manuscript will illustrate how graphical approach is applied to this design in handling multiple testing issues.
Full Text Available Background: Drug-related mortality is a complex phenomenon that has several health, social and economic effects. In this paper trends of drug-induced mortality in Italy are analysed. Two approaches have been followed: the traditional analysis of the underlying cause of death (UC (data refers to the Istat mortality database from 1980 to 2011, and the multiple cause (MCanalysis, that is the analysis of all conditions reported on the death certificate (data for 2003-2011 period.Methods: Data presented in this paper are based on the Italian mortality register. The selection of Icd codes used for the analysis follows the definition of the European Monitoring Centre for Drugs and Drug Addiction. Using different indicators (crude and standardized rates, ratio multiple to underlying, the results obtained from the two approaches (UC and MC have been compared. Moreover, as a measure of association between drug-related causes and specific conditions on the death certificate, an estimation of the age-standardized relative risk (RR has been used.Results: In the years 2009-2011, the total number of certificates whit mention of drug use was 1,293, 60% higher than the number UC based. The groups of conditions more strongly associated with drug-related causes are the mental and behavioral disorders (especially alcohol consumption, viral hepatitis, cirrhosis and fibrosis of liver, AIDS and endocarditis.Conclusions : The analysis based on multiple cause approach shows, for the first time, a more detailed picture of the drug related death; it allows to better describe the mortality profiles and to re-evaluate the contribution of a specific cause to death.
Anghileri, D.; Giuliani, M.; Castelletti, A.
There is a general agreement that one of the most challenging issues related to water system management is the presence of many and often conflicting interests as well as the presence of several and independent decision makers. The traditional approach to multi-objective water systems management is a centralized management, in which an ideal central regulator coordinates the operation of the whole system, exploiting all the available information and balancing all the operating objectives. Although this approach allows to obtain Pareto-optimal solutions representing the maximum achievable benefit, it is based on assumptions which strongly limits its application in real world contexts: 1) top-down management, 2) existence of a central regulation institution, 3) complete information exchange within the system, 4) perfect economic efficiency. A bottom-up decentralized approach seems therefore to be more suitable for real case applications since different reservoir operators may maintain their independence. In this work we tested the consequences of a change in the water management approach moving from a centralized toward a decentralized one. In particular we compared three different cases: the centralized management approach, the independent management approach where each reservoir operator takes the daily release decision maximizing (or minimizing) his operating objective independently from each other, and an intermediate approach, leading to the Nash equilibrium of the associated game, where different reservoir operators try to model the behaviours of the other operators. The three approaches are demonstrated using a test case-study composed of two reservoirs regulated for the minimization of flooding in different locations. The operating policies are computed by solving one single multi-objective optimal control problem, in the centralized management approach; multiple single-objective optimization problems, i.e. one for each operator, in the independent case
Full Text Available The permutation method of multiple attribute decision making has two significant deficiencies: high computational time and wrong priority output in some problem instances. In this paper, a novel permutation method called adjusted permutation method (APM is proposed to compensate deficiencies of conventional permutation method. We propose Tabu search (TS and particle swarm optimization (PSO to find suitable solutions at a reasonable computational time for large problem instances. The proposed method is examined using some numerical examples to evaluate the performance of the proposed method. The preliminary results show that both approaches provide competent solutions in relatively reasonable amounts of time while TS performs better to solve APM.
Pantanowitz, Liron; Labranche, Wayne; Lareau, William
Clinical laboratory outreach business is changing as more physician practices adopt an electronic medical record (EMR). Physician connectivity with the laboratory information system (LIS) is consequently becoming more important. However, there are no reports available to assist the informatician with establishing and maintaining outreach LIS-EMR connectivity. A four-stage scheme is presented that was successfully employed to establish unidirectional and bidirectional interfaces with multiple physician EMRs. This approach involves planning (step 1), followed by interface building (step 2) with subsequent testing (step 3), and finally ongoing maintenance (step 4). The role of organized project management, software as a service (SAAS), and alternate solutions for outreach connectivity are discussed. PMID:20805958
Lacerda, Márcio J.; Tognetti, Eduardo S.; Oliveira, Ricardo C. L. F.; Peres, Pedro L. D.
This paper presents a general framework to cope with full-order ? linear parameter-varying (LPV) filter design subject to inexactly measured parameters. The main novelty is the ability of handling additive and multiplicative uncertainties in the measurements, for both continuous and discrete-time LPV systems, in a unified approach. By conveniently modelling scheduling parameters and uncertainties affecting the measurements, the ? filter design problem can be expressed in terms of robust matrix inequalities that become linear when two scalar parameters are fixed. Therefore, the proposed conditions can be efficiently solved through linear matrix inequality relaxations based on polynomial solutions. Numerical examples are presented to illustrate the improved efficiency of the proposed approach when compared to other methods and, more important, its capability to deal with scenarios where the available strategies in the literature cannot be used.
Solomon, Jonathan; Zalevsky, Zeev; Mendlovic, David; Monreal, Javier Garcia
The increasing popularity of optical communication has also brought a demand for a broader bandwidth. The trend, naturally, was to implement methods from traditional electronic communication. One of the most effective traditional methods is Code Division Multiple Access. In this research, we suggest the use of this approach for spatial coding applied to images. The approach is to multiplex several filters into one plane while keeping their mutual orthogonality. It is shown that if the filters are limited by their bandwidth, the output of all the filters can be sampled in the original image resolution and fully recovered through an all-optical setup. The theoretical analysis of such a setup is verified in an experimental demonstration. PMID:12593478
Full Text Available Predicting critical nodes of Opportunistic Sensor Network (OSN can help us not only to improve network performance but also to decrease the cost in network maintenance. However, existing ways of predicting critical nodes in static network are not suitable for OSN. In this paper, the conceptions of critical nodes, region contribution, and cut-vertex in multiregion OSN are defined. We propose an approach to predict critical node for OSN, which is based on multiple attribute decision making (MADM. It takes RC to present the dependence of regions on Ferry nodes. TOPSIS algorithm is employed to find out Ferry node with maximum comprehensive contribution, which is a critical node. The experimental results show that, in different scenarios, this approach can predict the critical nodes of OSN better.
© 2014, Springer Science+Business Media New York. Many state-of-the-art parallel algorithms, which are widely used in scientific applications executed on high-end computing systems, were designed in the twentieth century with relatively small-scale parallelism in mind. Indeed, while in 1990s a system with few hundred cores was considered a powerful supercomputer, modern top supercomputers have millions of cores. In this paper, we present a hierarchical approach to optimization of message-passing parallel algorithms for execution on large-scale distributed-memory systems. The idea is to reduce the communication cost by introducing hierarchy and hence more parallelism in the communication scheme. We apply this approach to SUMMA, the state-of-the-art parallel algorithm for matrix–matrix multiplication, and demonstrate both theoretically and experimentally that the modified Hierarchical SUMMA significantly improves the communication cost and the overall performance on large-scale platforms.
Assunção, Ricardo; Martins, Carla; Vasco, Elsa; Pinhão, M.; Loureiro, Susana; De Silva, M. J; Alvito, Paula
Humans can be exposed to multiple chemicals at once from a variety of sources, and human risk assessment of multiple chemicals poses several challenges to scientists, risk assessors and risk managers. Ingestion of food is considered a major route of exposure to many contaminants, namely mycotoxins, especially for vulnerable population groups, as children. A lack of sufficient data regarding mycotoxins children risk assessment, could contribute to an inaccuracy of the estimated risk. Efforts m...
Srinivasan, V.; Thompson, S.; Madhyastha, K.; Penny, G.; Jeremiah, K.; Lele, S.
The developing world faces unique challenges in achieving water security as it is disproportionately exposed to stressors such as climate change while also undergoing demographic growth, agricultural intensification and industrialization. Investigative approaches are needed that can inform sound policy development and planning to address the water security challenge in the context of data scarcity. We investigated the "predictions under change" problem in the Thippagondanahalli (TG Halli) catchment of the Arkavathy sub-basin in South India. River inflows into the TG Halli reservoir have declined since the 1970s, and the reservoir is currently operating at only 20% of its built capacity. The mechanisms responsible for the drying of the river are not understood, resulting in uncoordinated and potentially counter-productive management responses. The objective of this study was to investigate potential explanations of the drying trend and thus obtain predictive insight. We used a multiple working hypothesis approach to investigate the decline in inflow into TG Halli reservoir. Five hypotheses were tested using data from field surveys and reliable secondary sources: (1) changes in rainfall amount, timing and storm intensity, (2) rising temperatures, (3) increased groundwater extraction, (4) expansion of eucalyptus plantations, and (5) increased fragmentation of the river channel. Our results indicate that proximate anthropogenic drivers of change such as groundwater pumping, expansion of eucalyptus plantations, and to a lesser extent channel fragmentation, are much more likely to have caused the decline in surface flows in the TG Halli catchment than changing climate. The case study shows that direct human interventions play a significant role in altering the hydrology of watersheds. The multiple working hypotheses approach presents a systematic way to quantify the relative contributions of anthropogenic drivers to hydrologic change. The approach not only yields a
Keiler, Margreth; Fuchs, Sven
The concept of vulnerability is pillared by multiple disciplinary theories underpinning either a technical or a social origin of the concept and resulting in a range of paradigms for vulnerability quantification. By taking a natural scientific approach we argue that a large number of studies have focused either on damage-loss functions for individual mountain hazards or on semi-quantitative indicator-based approaches for multiple hazards (hazard chains). However, efforts to reduce susceptibility to hazards and to create disaster-resilient communities require intersections among these approaches, as well as among theories originating in natural and social sciences, since human activity cannot be seen independently from the environmental setting. Acknowledging different roots of disciplinary paradigms in risk management, issues determining structural, economic, institutional and social vulnerability have to be more comprehensively addressed in the future with respect to mountain hazards in Europe and beyond. It is argued that structural vulnerability as originator results in considerable economic vulnerability, generated by the institutional settings of dealing with natural hazards and shaped by the overall societal framework. If vulnerability and its counterpart, resilience, is analysed and evaluated by using such a comprehensive approach, a better understanding of the vulnerability-influencing parameters could be achieved, taking into account the interdependencies and interactions between the disciplinary foci. As a result, three key issues should be addressed in future research: (1) Vulnerability requires a new perspective on the relationship between society and environment: not as a duality, but more as a mutually constitutive relationship (including methods for assessment). (2) There is a need for concepts of vulnerability that emphasise the dynamics of temporal and spatial scales, particularly with respect to Global Change processes in mountain regions. (3
Full Text Available The developing world faces unique challenges in achieving water security as it is disproportionately exposed to stressors such as climate change while also undergoing demographic growth, agricultural intensification and industrialization. Investigative approaches are needed that can inform sound policy development and planning to address the water security challenge in the context of data scarcity. We investigated the "predictions under change" problem in the Thippagondanahalli (TG Halli catchment of the Arkavathy sub-basin in South India. River inflows into the TG Halli reservoir have declined since the 1970s, and the reservoir is currently operating at only 20% of its built capacity. The mechanisms responsible for the drying of the river are not understood, resulting in uncoordinated and potentially counter-productive management responses. The objective of this study was to investigate potential explanations of the drying trend and thus obtain predictive insight. We used a multiple working hypothesis approach to investigate the decline in inflow into TG Halli reservoir. Five hypotheses were tested using data from field surveys and reliable secondary sources: (1 changes in rainfall amount, timing and storm intensity, (2 rising temperatures, (3 increased groundwater extraction, (4 expansion of eucalyptus plantations, and (5 increased fragmentation of the river channel. Our results indicate that proximate anthropogenic drivers of change such as groundwater pumping, expansion of eucalyptus plantations, and to a lesser extent channel fragmentation, are much more likely to have caused the decline in surface flows in the TG Halli catchment than changing climate. The case study shows that direct human interventions play a significant role in altering the hydrology of watersheds. The multiple working hypotheses approach presents a systematic way to quantify the relative contributions of anthropogenic drivers to hydrologic change. The approach not only
Kepler Thomas B
Full Text Available Abstract Background In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE libraries, it is critical to account for both between and within library variation. Several methods have been proposed, including the t test, tw test, and an overdispersed logistic regression approach. The merits of these tests, however, have not been fully evaluated. Questions still remain on whether further improvements can be made. Results In this article, we introduce an overdispersed log-linear model approach to analyzing SAGE; we evaluate and compare its performance with three other tests: the two-sample t test, tw test and another based on overdispersed logistic linear regression. Analysis of simulated and real datasets show that both the log-linear and logistic overdispersion methods generally perform better than the t and tw tests; the log-linear method is further found to have better performance than the logistic method, showing equal or higher statistical power over a range of parameter values and with different data distributions. Conclusion Overdispersed log-linear models provide an attractive and reliable framework for analyzing SAGE experiments involving multiple libraries. For convenience, the implementation of this method is available through a user-friendly web-interface available at http://www.cbcb.duke.edu/sage.
Full Text Available This research is aimed to know the influence of the learning methods using the multiple intelligence approach towards the learning outcomes of early childhood students. This research uses the pre-experimental research design using static group comparison. The population was kindergarten children in Pasuruhan, Kediri, Blitar, Malang, Batu, Malang Region, consisted of 36 kindergarten schools, with the samples taken of 240 children from 12 kindergartens. The analysis uses one way ANOVA, with F value is set at the significant level ? = 0.05. Results show that learning methods using the multiple intelligence approach significantly influence (F=3.818, p<0.05 student‘s learning outcomes. Further analysis also show that there are significant influences on aspects of assesment of the learning outcomes on the areas of society development and environment (F.= 60.636, p<0.05, creativity (F=50.957, p<0.05 and physical and health development (F=51.979, p<0.05.
Wilkinson, Andrea J.; Yang, Lixia
Objective. To examine plasticity of inhibition, as indexed by practice effects of inhibition tasks and the associated transfer effects, using a multiple task approach in healthy older adults. Method. Forty-eight healthy older adults were evenly assigned to either a practice group or a no-contact control group. All participants completed pretest (2.5 hours) and posttest (2 hours) sessions, with a 2-week interval in between. During the 2-week interval, only the practice group completed six 30-minute practice sessions (three sessions per week for two consecutive weeks) of three lab-based inhibition tasks. Results. All three inhibition tasks demonstrated significant improvement across practice sessions, suggesting practice-induced plasticity. The benefit, however, only transferred to near-near tasks. The results are inconclusive with regard to the near-far and far-far transfer effects. Discussion. This study further extends literature on practice effects of inhibition in older adults by using a multiple task approach. Together with previous work, the current study suggests that older adults are able to improve inhibition performance through practice and transfer the practice gains to tasks that overlap in both target cognitive ability and task structure (i.e., near-near tasks). PMID:26885407
This paper presents a novel and efficient approach through a hybrid integer coded differential evolution - dynamic programming (ICDEDP) scheme to solve the economic dispatch (ED) problem with multiple fuel options. A dynamic programming (DP) based simplified recursive algorithm is developed for optimal scheduling of the generating units in the ED problem. The proposed hybrid scheme is developed in such a way that an integer coded differential evolution (ICDE) is acting as a main optimizer to identify the optimal fuel options, and the DP is used to find the fitness of each agent in the population of the ICDE, which makes a quick decision to direct the search towards the optimal region. The hybrid ICDEDP decision vector consists of a sequence of integer numbers representing the fuel options of each unit to optimize quality of search and computation time. A gene swap operator is introduced in the proposed algorithm to improve its convergence characteristics. In order to show the efficiency and effectiveness, the proposed hybrid ICDEDP approach has been examined and tested with numerical results using the ten generation unit economic dispatch problem with multiple fuel options. The test result shows that the proposed hybrid ICDEDP algorithm has high quality solution, superior convergence characteristics and shorter computation time
K.A.NIGIM; K.W.HIPEL; G.B.SMITH
Infrastructure facilities in many countries have been repeatedly subjected to natural or human-induced disasters. International aid institutions, such as the United Nations Development Program (UNDP), United States Aid International Development (USAID), Japan International Cooperation Agency (JICA) and the World Bank International Aid Development (IDA), are endeavoring to assist in the reconstruction of devastated countries. Development institutions normally face the problem of selecting and implementing relevant priority infrastructure projects that are needed in various sectors. Usually there are also several key local players in the decision making process. In many cases, these main decision makers have contradictory objectives that lead to conflict and thereby hamper the reconstruction process. In response to this kind of problem, an effective approach has been developed within the field of Multiple Criteria Decision Analysis (MCDA), the Analytical Hierarchy Process (AHP), that can assist decision makers in prioritizing projects to meet specified goals and objectives. Using the AHP approach, the problem of selecting infrastructure projects is dealt with systematically when applying this flexible MCDA technique. This approach takes into account possible uncertainties and social discrepancies, and can use the judgments of the decision makers themselves when there is a lack of technical or historical data. Decision makers from international financial aid institutions, donor agencies, governmental and the local community can utilize this proposed approach.
Higton, D M
An improvement to the procedure for the rapid optimisation of mass spectrometry (PROMS), for the development of multiple reaction methods (MRM) for quantitative bioanalytical liquid chromatography/tandem mass spectrometry (LC/MS/MS), is presented. PROMS is an automated protocol that uses flow-injection analysis (FIA) and AppleScripts to create methods and acquire the data for optimisation. The protocol determines the optimum orifice potential, the MRM conditions for each compound, and finally creates the MRM methods needed for sample analysis. The sensitivities of the MRM methods created by PROMS approach those created manually. MRM method development using PROMS currently takes less than three minutes per compound compared to at least fifteen minutes manually. To further enhance throughput, approaches to MRM optimisation using one injection per compound, two injections per pool of five compounds and one injection per pool of five compounds have been investigated. No significant difference in the optimised instrumental parameters for MRM methods were found between the original PROMS approach and these new methods, which are up to ten times faster. The time taken for an AppleScript to determine the optimum conditions and build the MRM methods is the same with all approaches. PMID:11596136
Ducrotoy, M J; Yahyaoui Azami, H; El Berbri, I; Bouslikhane, M; Fassi Fihri, O; Boué, F; Petavy, A F; Dakkak, A; Welburn, S; Bardosh, K L
Integrating the control of multiple neglected zoonoses at the community-level holds great potential, but critical data is missing to inform the design and implementation of different interventions. In this paper we present an evaluation of an integrated health messaging intervention, using powerpoint presentations, for five bacterial (brucellosis and bovine tuberculosis) and dog-associated (rabies, cystic echinococcosis and leishmaniasis) zoonotic diseases in Sidi Kacem Province, northwest Morocco. Conducted by veterinary and epidemiology students between 2013 and 2014, this followed a process-based approach that encouraged sequential adaptation of images, key messages, and delivery strategies using auto-evaluation and end-user feedback. We describe the challenges and opportunities of this approach, reflecting on who was targeted, how education was conducted, and what tools and approaches were used. Our results showed that: (1) replacing words with local pictures and using "hands-on" activities improved receptivity; (2) information "overload" easily occurred when disease transmission pathways did not overlap; (3) access and receptivity at schools was greater than at the community-level; and (4) piggy-backing on high-priority diseases like rabies offered an important avenue to increase knowledge of other zoonoses. We conclude by discussing the merits of incorporating our validated education approach into the school curriculum in order to influence long-term behaviour change. PMID:26299194
Full Text Available Maize is the principal crop and major staple food in the most countries of Sub-Saharan Africa. However, due to the influence of abiotic and biotic stress factors, maize production faces serious constraints. Among the agro-ecological conditions, the main constraints are: lack and poor distribution of rainfall; low soil fertility; diseases (maize streak virus, downy mildew, leaf blights, rusts, gray leaf spot, stem/cob rots and pests (borers and storage pests. Among the socio-economic production constraints are: poor economy, serious shortage of trained manpower; insufficient management expertise, lack of use of improved varieties and poor cultivation practices. To develop desirable varieties, and thus consequently alleviate some of these constraints, appropriate breeding approaches and field-based methodologies in selection for multiple stress tolerance, were implemented. These approaches are mainly based on: a Crossing selected genotypes with more desirable stress tolerant and other agronomic traits; b Using the disease/pest spreader row method, combined with testing and selection of created progenies under strong to intermediate pressure of drought and low soil fertility in nurseries; and c Evaluation of the varieties developed in multi-location trials under low and "normal" inputs. These approaches provide testing and selection of large number of progenies, which is required for simultaneous selection for multiple stress tolerance. Data obtained revealed that remarkable improvement of the traits under selection was achieved. Biggest progress was obtained in selection for maize streak virus and downy mildew resistance, flintiness and earliness. In the case of drought stress, statistical analyses revealed significant negative correlation between yield and anthesis-silking interval, and between yield and days to silk, but positive correlation between yield and grain weight per ear.
La Delfa, Nicholas J; Potvin, Jim R
In ergonomics, strength prediction has typically been accomplished using linked-segment biomechanical models, and independent estimates of strength about each axis of the wrist, elbow and shoulder joints. It has recently been shown that multiple regression approaches, using the simple task-relevant inputs of hand location and force direction, may be a better method for predicting manual arm strength (MAS) capabilities. Artificial neural networks (ANNs) also serve as a powerful data fitting approach, but their application to occupational biomechanics and ergonomics is limited. Therefore, the purpose of this study was to perform a direct comparison between ANN and regression models, by evaluating their ability to predict MAS with identical sets of development and validation MAS data. Multi-directional MAS data were obtained from 95 healthy female participants at 36 hand locations within the reach envelope. ANN and regression models were developed using a random, but identical, sample of 85% of the MAS data (n=456). The remaining 15% of the data (n=80) were used to validate the two approaches. When compared to the development data, the ANN predictions had a much higher explained variance (90.2% vs. 66.5%) and much lower RMSD (9.3N vs. 17.2N), vs. the regression model. The ANN also performed better with the independent validation data (r(2)=78.6%, RMSD=15.1) compared to the regression approach (r(2)=65.3%, RMSD=18.6N). These results suggest that ANNs provide a more accurate and robust alternative to regression approaches, and should be considered more often in biomechanics and ergonomics evaluations. PMID:26876987
Zhu, Huazheng; He, Zhongshi; Jia, Yuanyuan
Multiple sequence alignment (MSA) is a fundamental and key step for implementing other tasks in bioinformatics, such as phylogenetic analyses, identification of conserved motifs and domains, structure prediction, etc. Despite the fact that there are many methods to implement MSA, biologically perfect alignment approaches are not found hitherto. This paper proposes a novel idea to perform MSA, where MSA is treated as a multiobjective optimization problem. A famous multiobjective evolutionary algorithm framework based on decomposition is applied for solving MSA, named MOMSA. In the MOMSA algorithm, we develop a new population initialization method and a novel mutation operator. We compare the performance of MOMSA with several alignment methods based on evolutionary algorithms, including VDGA, GAPAM, and IMSA, and also with state-of-the-art progressive alignment approaches, such as MSAprobs, Probalign, MAFFT, Procons, Clustal omega, T-Coffee, Kalign2, MUSCLE, FSA, Dialign, PRANK, and CLUSTALW. These alignment algorithms are tested on benchmark datasets BAliBASE 2.0 and BAliBASE 3.0. Experimental results show that MOMSA can obtain the significantly better alignments than VDGA, GAPAM on the most of test cases by statistical analyses, produce better alignments than IMSA in terms of TC scores, and also indicate that MOMSA is comparable with the leading progressive alignment approaches in terms of quality of alignments. PMID:25700475
Guglielmino, Francesco; Puglisi, Giuseppe; Bonforte, Alessandro; Cocorullo, Chiara; Sansosti, Eugenio; Pepe, Susi; Solaro, Giuseppe; Casu, Francesco; Acocella, Valerio; Ruch, Joel; Nobile, Adriano; Zoffoli, Simona
The availability of both multiple SAR datasets and GPS stations over Mt. Etna during the 2009-2010 time span, allowed us to apply the SISTEM integration in order to capture a more complete figure of the ground deformation affecting the volcano. In particular we use both ascending and descending views of C-band ENVISAT and X-band COSMO-SkyMed sensors, and the ascending view of L-band ALOS sensors. The SAR data have been analyzed by using a time series approach, based on the SBAS technique. Moreover, thanks to the availability of dense (105 benchmarks) geodetic in situ data collected on Mt. Etna, it was possible to validate and integrate the SAR data with the GPS ground deformation data applying the SISTEM approach. The SISTEM approach simultaneously integrates all the available datasets (i.e. GPS displacement vectors on sparse benchmarks and SAR displacement maps), providing a high-resolution 3D displacement map by taking advantage of the positive features of each datasets, i.e. the availability of multiple view geometries of COSMO-SkyMed and ENVISAT data, together with the high temporal and spatial resolution of the COSMO-SkyMed data, the good coherence of ALOS L-band interferometric data, and the full 3D displacement components provided by GPS with sub-cm accuracy level. The preliminary results are consistent with the geophysical and volcanological background knowledge of the Mt. Etna dynamic during the 2009-2010 period, showing a general inflation of the entire volcanic edifice coupled with the ESE sliding of the eastern and southeastern flank. The displacement pattern, resulting by applying the SISTEM integration method, provides an accurate spatial characterization of ground deformation, well constrained by the multiple SAR data and ground GPS measurements. ALOS and COSMO-SkyMed SAR data were acquired in the framework of SAR4Volcanoes research project under Italian Space Agency agreement n. I/034/11/0. The ENVISAT data were acquired in the framework ESA CAT.1
Full Text Available Background: Inclusion of children with intellectual disabilities (ID and multiple disabilities (MD in regular schools in India is extremely poor. One of the key objectives of community-based rehabilitation (CBR is to include ID & MD children in regular schools. This study attempted to find out association with age, ID severity, poverty, gender, parent education, population, and multiple disabilities comprising one or more disorders cerebral palsy, epilepsy and psychiatric disorders with inclusion among 259 children in Barwani Block of Barwani District in the state of Madhya Pradesh, India.Aim: Inclusion of children with intellectual and multiple disabilities in regular schools through CBR approach in India.Method: Chi square test was conducted to investigate association between inclusion and predictor variables ID categories, age, gender, poverty level, parent education, population type and multiple disabilities. Result: Inclusion was possible for borderline 2(66.4%, mild 54(68.3%, moderate 18(18.2%, and age range from 5 to 12 years 63 (43%. Children living in poor families 63 (30.6%, not poor 11(18.9%, parental education none 52 (26%, primary level 11 (65%, middle school 10 (48% high school 0 (0% and bachelor degree 1(7%, female 34 (27.9%, male 40 (29.2%, tribal 40 (28.7%, non-tribal 34(28.3% and multiple disabled with cerebral palsy 1(1.2%, epilepsy 3 (4.8% and psychiatry disorders 12 (22.6% were able to receive inclusive education. Significant difference in inclusion among ID categories (c2=99.8, p < 0.001, poverty (c2=3.37, p 0.044, parental education (c2=23.7, p < 0.001, MD CP (c2=43.9, p < 0.001 and epilepsy (c2=22.4, p < 0.001 were seen.Conclusion: Inclusion through CBR is feasible and acceptable in poor rural settings in India. CBR can facilitate inclusion of children with borderline, mild and moderate categories by involving their parents, teachers and community members.
Full Text Available Forest models are being increasingly used to study ecosystem functioning, through the reproduction of carbon fluxes and productivity in very different forests all over the world. Over the last two decades, the need for simple and "easy to use" models for practical applications, characterized by few parameters and equations, has become clear, and some have been developed for this purpose. These models aim to represent the main drivers underlying forest ecosystem processes while being applicable to the widest possible range of forest ecosystems. Recently, it has also become clear that model performance should not be assessed only in terms of accuracy of estimations and predictions, but also in terms of estimates of model uncertainties. Therefore, the Bayesian approach has increasingly been applied to calibrate forest models, with the aim of estimating the uncertainty of their results, and of comparing their performances. Some forest models, considered to be user-friendly, rely on a multiplicative or quasi-multiplicative mathematical structure, which is known to cause problems during the calibration process, mainly due to high correlations between parameters. In a Bayesian framework using a Markov Chain Monte Carlo sampling this is likely to impair the reaching of a proper convergence of the chains and the sampling from the correct posterior distribution. Here we show two methods to reach proper convergence when using a forest model with a multiplicative structure, applying different algorithms with different number of iterations during the Markov Chain Monte Carlo or a two-steps calibration. The results showed that recently proposed algorithms for adaptive calibration do not confer a clear advantage over the Metropolis–Hastings Random Walk algorithm for the forest model used here. Moreover, the calibration remains time consuming and mathematically difficult, so advantages of using a fast and user-friendly model can be lost due to the calibration
Yang Xu; Wenming Hu; Zefeng Yang; Chenwu Xu
Many complex traits are highly correlated rather than independent. By taking the correlation structure of multiple traits into account, joint association analyses can achieve both higher statistical power and more accurate estimation. To develop a statistical approach to joint association analysis that includes allele detection and genetic effect estimation, we combined multivariate partial least squares regression with variable selection strategies and selected the optimal model using the Bayesian Information Criterion (BIC). We then performed extensive simulations under varying heritabilities and sample sizes to compare the performance achieved using our method with those obtained by single-trait multilocus methods. Joint association analysis has measurable advantages over single-trait methods, as it exhibits superior gene detection power, especially for pleiotropic genes. Sample size, heritability, polymorphic information content (PIC), and magnitude of gene effects influence the statistical power, accuracy and precision of effect estimation by the joint association analysis.
Full Text Available This paper deals with the problem of maintenance and production planning for randomly failing multiple-product manufacturing system. The latter consists of one machine which produces several types of products in order to satisfy random demands corresponding to every type of product. At any given time, the machine can only produce one type of product and then switches to another one. The purpose of this study is to establish sequentially an economical production plan and an optimal maintenance strategy, taking into account the influence of the production rate on the system’s degradation. Analytical models are developed in order to find the production plan and the preventive maintenance strategy which minimizes sequentially the total production/inventory cost and then the total maintenance cost. Finally, a numerical example is presented to illustrate the usefulness of the proposed approach.
Full Text Available In this paper, normal cloud model and evidential reasoning (E-R approach is used in multiple attribute decision analysis (MADA problems. Different attributes Belief function are represented by cloud model interval. Using cloud model generating algorithm, belief degree interval is obtained without numerical computation. In addition, it is reasonable and it accords with humans mind. Evidential reasoning algorithm is also used to incorporate different attributes interval in different ranks. Maximum and minimum in belief degree interval is computed by software. Then aggregative index number of attribute value is computed. Things rank is decided by the index number. In the example, trucks integrated performances are analysed. Simulation results further illustrate the effectiveness of the design method.
Full Text Available Another approach (Multiple Triangulation Analysis, MTA is presented to determine the orientation of magnetic flux rope, based on 4-point measurements. A 2-D flux rope model is used to examine the accuracy of the MTA technique in a theoretical way. It is found that the precision of the estimated orientation is dependent on both the spacecraft separation and the constellation path relative to the flux rope structure. However, the MTA error range can be shown to be smaller than that of the traditional MVA technique. As an application to real Cluster data, several flux rope events on 26 January 2001 are analyzed using MTA, to obtain their orientations. The results are compared with the ones obtained by several other methods which also yield flux rope orientation. The estimated axis orientations are shown to be fairly close, suggesting the reliability of the MTA method.
This paper addresses the filtering problem in large-dimensional systems, in which conventional particle filters (PFs) remain computationally prohibitive owing to the large number of particles needed to obtain reasonable performances. To overcome this drawback, a class of multiple particle filters (MPFs) has been recently introduced in which the state-space is split into low-dimensional subspaces, and then a separate PF is applied to each subspace. In this paper, we adopt the variational Bayesian (VB) approach to propose a new MPF, the VBMPF. The proposed filter is computationally more efficient since the propagation of each particle requires generating one (new) particle only, while in the standard MPFs a set of (children) particles needs to be generated. In a numerical test, the proposed VBMPF behaves better than the PF and MPF.
Jiao, Ying; Pham, Huyên
We study an optimal investment problem under contagion risk in a financial model subject to multiple jumps and defaults. The global market information is formulated as progressive enlargement of a default-free Brownian filtration, and the dependence of default times is modelled by a conditional density hypothesis. In this It\\^o-jump process model, we give a decomposition of the corresponding stochastic control problem into stochastic control problems in the default-free filtration, which are determined in a backward induction. The dynamic programming method leads to a backward recursive system of quadratic Backward Stochastic Differential Equations (BSDEs) in Brownian filtration, and our main result is to prove under fairly general conditions the existence and uniqueness of a solution to this system, which characterizes explicitly the value function and optimal strategies to the optimal investment problem. We illustrate our solutions approach with some numerical tests emphasizing the impact of default intensi...
Brannick, J; Qian, T; Sun, H
In this paper, we introduce a diffuse interface model for describing the dynamics of mixtures involving multiple (two or more) phases. The coupled hydrodynamical system is derived through an energetic variational approach. The total energy of the system includes the kinetic energy and the mixing (interfacial) energies. The least action principle (or the principle of virtual work) is applied to derive the conservative part of the dynamics, with a focus on the reversible part of the stress tensor arising from the mixing energies. The dissipative part of the dynamics is then introduced through a dissipation function in the energy law, in line with the Onsager principle of least energy dissipation. The final system, formed by a set of coupled time-dependent partial differential equations, reflects a balance among various conservative and dissipative forces and governs the evolution of velocity and phase fields. To demonstrate the applicability of the proposed model, a few two-dimensional simulations have been car...
Full Text Available Dye sensitized solar cells (DSCs provide a potential alternative to conventional p-n junction photovoltaic devices. The semiconductor thin film plays a crucial role in the working of DSC. This paper aims at formulating a process for the selection of optimum semiconductor material for nanostructured thin film using multiple attribute decision making (MADM approach. Various possible available semiconducting materials and their properties like band gap, cost, mobility, rate of electron injection, and static dielectric constant are considered and MADM technique is applied to select the best suited material. It was found that, out of all possible candidates, titanium dioxide (TiO2 is the best semiconductor material for application in DSC. It was observed that the proposed results are in good agreement with the experimental findings.
The canonical approach for finite density lattice QCD has a numerical instability. This instability makes it difficult to use the method reliably at the finite real chemical potential region. We studied this instability in detail and found that it is caused by the cancellation of significant digits. In order to reduce the effect of this cancellation, we adopt the multiple precision calculation for our discrete Fourier transformation (DFT) program, and we get the canonical partition function Zc(n,T) with required accuracy. From the obtained Zc(n,T), we calculate Lee--Yang zero distribution varying the number of significant digits. As a result, some curves surround the origin in the fugacity plane, but they are moved by varying the number of significant digits. Hence, we conclude that these curves are pseudo phase transition lines, and not real ones.
Full Text Available Clinical laboratory outreach business is changing as more physician practices adopt an electronic medical record (EMR. Physician connectivity with the laboratory information system (LIS is consequently becoming more important. However, there are no reports available to assist the informatician with establishing and maintaining outreach LIS-EMR connectivity. A four-stage scheme is presented that was successfully employed to establish unidirectional and bidirectional interfaces with multiple physician EMRs. This approach involves planning (step 1, followed by interface building (step 2 with subsequent testing (step 3, and finally ongoing maintenance (step 4. The role of organized project management, software as a service (SAAS, and alternate solutions for outreach connectivity are discussed.
Jerome J. Schleier III
Full Text Available Decision analysis often considers multiple lines of evidence during the decision making process. Researchers and government agencies have advocated for quantitative weight-of-evidence approaches in which multiple lines of evidence can be considered when estimating risk. Therefore, we utilized Bayesian Markov Chain Monte Carlo to integrate several human-health risk assessment, biomonitoring, and epidemiology studies that have been conducted for two common insecticides (malathion and permethrin used for adult mosquito management to generate an overall estimate of risk quotient (RQ. The utility of the Bayesian inference for risk management is that the estimated risk represents a probability distribution from which the probability of exceeding a threshold can be estimated. The mean RQs after all studies were incorporated were 0.4386, with a variance of 0.0163 for malathion and 0.3281 with a variance of 0.0083 for permethrin. After taking into account all of the evidence available on the risks of ULV insecticides, the probability that malathion or permethrin would exceed a level of concern was less than 0.0001. Bayesian estimates can substantially improve decisions by allowing decision makers to estimate the probability that a risk will exceed a level of concern by considering seemingly disparate lines of evidence.
Full Text Available Since GPS signals are unavailable for indoor navigation, current research mainly focuses on vision-based locating with a single mark. An obvious disadvantage with this approach is that locating will fail when the mark cannot be seen. The use of multiple marks can solve this problem. However, the extra process to design and identify different marks will significantly increase system complexity. In this paper, a novel vision-based locating method is proposed by using marks with feature points arranged in a radial shape. The feature points of the marks consist of inner points and outer points. The positions of the inner points are the same in all marks, while the positions of the outer points are different in different marks. Unlike traditional camera locating methods (the PnP methods, the proposed method can calculate the camera location and the positions of the outer points simultaneously. Then the calculation results of the positions of the outer points are used to identify the mark. This method can make navigation with multiple marks more efficient. Simulations and real world experiments are carried out, and their results show that the proposed method is fast, accurate and robust to noise.
Full Text Available During the past decades, a number of studies have demonstrated multiple beneficial health effects of green tea. Polyphenolics are the most biologically active components of green tea. Many targets can be targeted or affected by polyphenolics. In this study, we excavated all of the targets of green tea polyphenolics (GTPs though literature mining and target calculation and analyzed the multiple pharmacology actions of green tea comprehensively through a network pharmacology approach. In the end, a total of 200 Homo sapiens targets were identified for fifteen GTPs. These targets were classified into six groups according to their related disease, which included cancer, diabetes, neurodegenerative disease, cardiovascular disease, muscular disease, and inflammation. Moreover, these targets mapped into 143 KEGG pathways, 26 of which were more enriched, as determined though pathway enrichment analysis and target-pathway network analysis. Among the identified pathways, 20 pathways were selected for analyzing the mechanisms of green tea in these diseases. Overall, this study systematically illustrated the mechanisms of the pleiotropic activity of green tea by analyzing the corresponding “drug-target-pathway-disease” interaction network.
Lorena Canet Juric; María Laura Andrés; María Richard ́s
El objetivo principal de este trabajo fue el estudio exhaustivo de los procesos mnésicos en un grupo de pacientes con diagnóstico de esclerosis múltiple (EM). La teoría clásica sobre el tema considera que en esta patología se producen defectos en los procesos de recuperación de la memoria episódica. Estudios recientes aportan evidencia a favor de una hipótesis alternativa que atribuye el origen del trastorno mnésico a una alteración en los procesos de codificación y organización de la informa...
Full Text Available Ecosystem accounting is an emerging field that aims to provide a consistent approach to analysing environment-economy interactions. In spite of the progress made in mapping and quantifying hydrological ecosystem services, several key issues must be addressed if ecohydrological modelling approaches are to be aligned with ecosystem accounting. They include modelling hydrological ecosystem services with adequate spatiotemporal detail and accuracy at aggregated scales to support ecosystem accounting, distinguishing between service capacity and service flow, and linking ecohydrological processes to the supply of dependent hydrological ecosystem services. We present a spatially explicit approach, which is consistent with ecosystem accounting, for mapping and quantifying service capacity and service flow of multiple hydrological ecosystem services. A grid-based setup of a modified Soil Water and Assessment Tool (SWAT, SWAT Landscape, is first used to simulate the watershed ecohydrology. Model outputs are then post-processed to map and quantify hydrological ecosystem services and to set up biophysical ecosystem accounts. Trend analysis statistical tests are conducted on service capacity accounts to track changes in the potential to provide service flows. Ecohydrological modelling to support ecosystem accounting requires appropriate decisions regarding model process inclusion, physical and mathematical representation, spatial heterogeneity, temporal resolution, and model accuracy. We demonstrate this approach in the Upper Ouémé watershed in Benin. Our analyses show that integrating hydrological ecosystem services in an ecosystem accounting framework provides relevant information on ecosystems and hydrological ecosystem services at appropriate scales suitable for decision-making. Our analyses further identify priority areas important for maintaining hydrological ecosystem services as well as trends in hydrological ecosystem services supply over time.
D.K. Liu; X. Wu; G. Paul; G. Dissanayake
This paper conducts a series of case studies on a novel Simultaneous Path and Motion Planning (SiPaMoP) approach to multiple autonomous or Automated Guided Vehicle (AGV) motion coordination in bidirectional networks. The SiPaMoP approach plans collision-free paths for vehicles based on the principle of shortest path by dynamically changing the vehicles' paths, traveling speeds or waiting times, whichever gives the shortest traveling time. It integrates path planning, collision avoidance and motion planning into a comprehensive model and optimizes the vehicles' path and motion to minimize the completion time of a set of tasks. Five case studies, i.e., head-on collision avoidance,catching-up collision avoidance, buffer node generation and collision avoidance, prioritybased motion coordination, and safety distance based planning, are presented. The results demonstrated that the method can effectively plan the path and motion for a team of autonomous vehicles or AGVs, and solve the problems of traffic congestion and collision under various conditions.
Maintaining competitiveness in an environment where price and quality differences between competing products are disappearing depends on the company's ability to reduce costs and supply time. Timely responses to rapidly changing market conditions require an efficient Supply Chain Management (SCM). Outsourcing logistics to third-party logistics service providers (3PLs) is one commonly used way of increasing the efficiency of logistics operations, while creating a more "core competency focused" business environment. However, this alone may not be sufficient. Due to recent environmental regulations and growing public awareness regarding environmental issues, 3PLs need to be not only efficient but also environmentally benign to maintain companies' competitiveness. Even though an efficient and environmentally benign combination of 3PLs can theoretically be obtained using exhaustive search algorithms, heuristics approaches to the selection process may be superior in terms of the computational complexity. In this paper, a hybrid approach that combines a multiple criteria Genetic Algorithm (GA) with Linear Physical Weighting Algorithm (LPPW) to be used in efficient and environmentally benign 3PLs is proposed. A numerical example is also provided to illustrate the method and the analyses.
Cai, Xiaoyu; Li, Huiyun; Liu, Aiyi
The increase in incidence of obesity and chronic diseases and their health care costs have raised the importance of quality diet on the health policy agendas. The healthy eating index is an important measure for diet quality which consists of 12 components derived from ratios of dependent variables with distributions hard to specify, measurement errors and excessive zero observations difficult to model parametrically. Hypothesis testing involving data of such nature poses challenges because the widely used multiple comparison procedures such as Hotelling's T(2) test and Bonferroni correction may suffer from substantial loss of efficiency. We propose a marginal rank-based inverse normal transformation approach to normalizing the marginal distribution of the data before employing a multivariate test procedure. Extensive simulation was conducted to demonstrate the ability of the proposed approach to adequately control the type I error rate as well as increase the power of the test, with data particularly from non-symmetric or heavy-tailed distributions. The methods are exemplified with data from a dietary intervention study for type I diabetic children. Published 2016. This article is a U.S. Government work and is in the public domain in the USA. PMID:26990442
Full Text Available This paper presents an automated surveillance system that exploits the Fisher Kernel representation in the context of multiple-instance object retrieval task. The proposed algorithm has the main purpose of tracking a list of persons in several video sources, using only few training examples. In the first step, the Fisher Kernel representation describes a set of features as the derivative with respect to the log-likelihood of the generative probability distribution that models the feature distribution. Then, we learn the generative probability distribution over all features extracted from a reduced set of relevant frames. The proposed approach shows significant improvements and we demonstrate that Fisher kernels are well suited for this task. We demonstrate the generality of our approach in terms of features by conducting an extensive evaluation with a broad range of keypoints features. Also, we evaluate our method on two standard video surveillance datasets attaining superior results comparing to state-of-the-art object recognition algorithms.
Horowitz, Ariel I.; Moomaw, William R.; Liptzin, Daniel; Gramig, Benjamin M.; Reeling, Carson; Meyer, Johanna; Hurley, Kathleen
Human alteration of the nitrogen cycle exceeds the safe planetary boundary for the use of reactive nitrogen (Nr). We complement global analysis by analyzing regional mass flows and the relative consequences of multiple chemical forms of Nr as they ‘cascade’ through multiple environmental media. The goals of this paper are (1) to identify the amounts of Nr that flow through a specific nitrogen rich region, (2) develop multiple metrics to characterize and compare multiple forms of Nr and the different damages that they cause, and (3) to use these metrics to assess the most societally acceptable and cost effective means for addressing the many dimensions of Nr damage. This paper uses a multiple metrics approach that in addition to mass flows considers economic damage, health and mitigation costs and qualitative damages to evaluate options for mitigating Nr flows in California’s San Joaquin Valley (SJV). Most analysis focuses attention on agricultural Nr because it is the largest flow in terms of mass. In contrast, the multiple metrics approach identifies mobile source Nr emissions as creating the most economic and health damage in the SJV. Emissions of Nr from mobile sources are smaller than those from crop agriculture and dairy in the SJV, but the benefits of abatement are greater because of reduced health impacts from air pollution, and abatement costs are lower. Our findings illustrate the benefit of a comprehensive multiple metrics approach to Nr management.
Full Text Available Abstract Background The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinformatics. Our approach uses statistical learning techniques applied to multiple antigen tumor antigen markers utilizing the immune system as a very sensitive marker of molecular pathological processes. For validation purposes we choose the intracranial meningioma tumors as model system since they occur very frequently, are mostly benign, and are genetically stable. Results A total of 183 blood samples from 93 meningioma patients (WHO stages I-III and 90 healthy controls were screened for seroreactivity with a set of 57 meningioma-associated antigens. We tested several established statistical learning methods on the resulting reactivity patterns using 10-fold cross validation. The best performance was achieved by Naïve Bayes Classifiers. With this classification method, our framework, called Minimally Invasive Multiple Marker (MIMM approach, yielded a specificity of 96.2%, a sensitivity of 84.5%, and an accuracy of 90.3%, the respective area under the ROC curve was 0.957. Detailed analysis revealed that prediction performs particularly well on low-grade (WHO I tumors, consistent with our goal of early stage tumor detection. For these tumors the best classification result with a specificity of 97.5%, a sensitivity of 91.3%, an accuracy of 95.6%, and an area under the ROC curve of 0.971 was achieved using a set of 12 antigen markers only. This antigen set was detected by a subset selection method based on Mutual Information. Remarkably, our study proves that the inclusion of non-specific antigens, detected not only in tumor but also in normal sera, increases the performance significantly, since non-specific antigens contribute additional diagnostic information. Conclusion Our approach offers the possibility to screen members of risk groups as a matter of routine
Sperotto, Anna; Torresan, Silvia; Critto, Andrea; Marcomini, Antonio
The assessment of climate change related risks is notoriously difficult due to the complex and uncertain combinations of hazardous events that might happen, the multiplicity of physical processes involved, the continuous changes and interactions of environmental and socio-economic systems. One important challenge lies in predicting and modelling cascades of natural and man -made hazard events which can be triggered by climate change, encompassing different spatial and temporal scales. Another regard the potentially difficult integration of environmental, social and economic disciplines in the multi-risk concept. Finally, the effective interaction between scientists and stakeholders is essential to ensure that multi-risk knowledge is translated into efficient adaptation and management strategies. The assessment is even more complex at the scale of deltaic systems which are particularly vulnerable to global environmental changes, due to the fragile equilibrium between the presence of valuable natural ecosystems and relevant economic activities. Improving our capacity to assess the combined effects of multiple hazards (e.g. sea-level rise, storm surges, reduction in sediment load, local subsidence, saltwater intrusion) is therefore essential to identify timely opportunities for adaptation. A holistic multi-risk approach is here proposed to integrate terminology, metrics and methodologies from different research fields (i.e. environmental, social and economic sciences) thus creating shared knowledge areas to advance multi risk assessment and management in delta regions. A first testing of the approach, including the application of Bayesian network analysis for the assessment of impacts of climate change on key natural systems (e.g. wetlands, protected areas, beaches) and socio-economic activities (e.g. agriculture, tourism), is applied in the Po river delta in Northern Italy. The approach is based on a bottom-up process involving local stakeholders early in different
Full Text Available In this paper, we focus on a kind of 3D object shape reconstruction from images and put forward a metric approach to recover the object based on slicing planes by homography transformation and image consistency between multiple images. This approach done here eliminates the requirement for camera calibration, the estimation of the fundamental matrix, feature matches and pose estimation. We adopt a set of hypothetical planes to intersect the reconstructed object to obtain every slicing plane of the reconstructed object by homography transformation and recover it to 3D adding vanishing points by the constraints of silhouette and the scene. The experiment shows that the approach is much validated, and something useful is obtained. topological changes of 2D curves, we adopt a physically-based 2D level set model to animate the evolution and propagation of the interface. We build a level set equation to model the evolution of the interface. In addition, to handle the large scale virtual environment correctly in our physically-based level set model, an image-based 2D voxelization method is proposed in the paper. In the voxelization method, the virtual environment will be converted to boundary conditions when solving the level set equation. Finally, the water pollutants diffusion phenomenon is simulated on large scale water surface by merging the interface animation results as well as the large scale virtual environment. Animation results about the algae propagation phenomenon in Taihu Lake show that our method is intuitively to be implemented and very convenient to produce visually interesting results.
Iliceto, Paolo; Pompili, Maurizio; Spencer-Thomas, Sally; Ferracuti, Stefano; Erbuto, Denise; Lester, David; Candilera, Gabriella; Girardi, Paolo
Occupational stress is a multivariate process involving sources of pressure, psycho-physiological distress, locus of control, work dissatisfaction, depression, anxiety, mental health disorders, hopelessness, and suicide ideation. Healthcare professionals are known for higher rates of occupational-related distress (burnout and compassion fatigue) and higher rates of suicide. The purpose of this study was to explain the relationships between occupational stress and some psychopathological dimensions in a sample of health professionals. We investigated 156 nurses and physicians, 62 males and 94 females, who were administered self-report questionnaires to assess occupational stress [occupational stress inventory (OSI)], temperament (temperament evaluation of Memphis, Pisa, Paris, and San Diego autoquestionnaire), and hopelessness (Beck hopelessness scale). The best Multiple Indicators Multiple Causes model with five OSI predictors yielded the following results: χ2(9) = 14.47 (p = 0.11); χ2/df = 1.60; comparative fit index = 0.99; root mean square error of approximation = 0.05. This model provided a good fit to the empirical data, showing a strong direct influence of casual variables such as work dissatisfaction, absence of type A behavior, and especially external locus of control, psychological and physiological distress on latent variable psychopathology. Occupational stress is in a complex relationship with temperament and hopelessness and also common among healthcare professionals. PMID:22632290
Kholopov, Eugene V.
The Bertaut approach associated with charge spreading so as to enhance the rate of convergence of Coulomb series in crystals is extended to the case of an arbitrary multiple spreading with a given initial spreading function. It is shown that the effect of spreading may in general be treated as a uniform transformation of space, providing that zero mean potential as a universal spatial property is sustained. As a result, electrostatic potentials driven by different orders of multiple spreading...
Sadough Vanini, Z.N.; K Khorasani; Meskin, N.
In this paper, a fault detection and isolation (FDI) scheme for an aircraft jet engine is developed. The proposed FDI system is based on the multiple model approach and utilizes dynamic neural networks (DNNs) to accomplish this goal. Towards this end, multiple DNNs are constructed to learn the nonlinear dynamics of the aircraft jet engine. Each DNN corresponds to a specific operating mode of the healthy engine or the faulty condition of the jet engine. Using residuals obtained by comparing ea...
A method for the simulation of electron scattering and diffraction in solids and molecules within the cluster approach is presented with explicit applications to photoelectron diffraction, electron scattering in molecules, and low-energy electron diffraction. No approximations are made beyond the muffin-tin model, and, in particular, an exact representation of the free-electron Green function is used. All multiple-scattering paths are accounted for up to an order of scattering that ensures convergence. The method relies upon a convenient separation of the free-electron Green function in rotation matrices and translations along the z axis, which greatly reduces the computation time and storage demand. The evaluation of the multiple-scattering expansion is implemented using the fully convergent recursion method, which permits one to perform an iterative refinement of the final-state wave function, as expressed in the basis set of spherical harmonics attached to each atom of the cluster. Examples are offered in which the direct multiple-scattering expansion and the more elaborated simultaneous relaxation method fail to converge, whereas the recursion method leads to convergence. The computation time needed by the resulting computer program of electron diffraction in atomic clusters to determine the self-consistently scattered wave function is proportional to N2(lmax+1)3, where N is the number of atoms in the cluster and lmax is the maximum angular momentum for which the scattering phase shifts take non-negligible values. Within this method it is possible to establish that in practical cases N>1000 might be needed for a convergence of the cluster size, although the angular averaging inherent in many experiments may reduce this. The recursion method was also modified to reduce the effort in computing angular distributions of photoelectrons and low-energy diffracted electrons, which now require negligible time for each angle of emission once the wave function has been
Komendantova, Nadejda; Scolobig, Anna; Vinchon, Charlotte
The multi-risk approach is a relatively new field and its definition includes the need to consider multiple hazards and vulnerabilities in their interdependency (Selva, 2013) and the current multi-hazards disasters, such as the 2011 Tohoku earthquake, tsunami and nuclear catastrophe, showed the need for a multi-risk approach in hazard mitigation and management. Our knowledge about multi-risk assessment, including studies from different scientific disciplines and developed assessment tools, is constantly growing (White et al., 2001). However, the link between scientific knowledge, its implementation and the results in terms of improved governance and decision-making have gained significantly less attention (IRGC, 2005; Kappes et al., 2012), even though the interest to risk governance, in general, has increased significantly during the last years (Verweiy and Thompson, 2006). Therefore, the key research question is how risk assessment is implemented and what is the potential for the implementation of a multi-risk approach in different governance systems across Europe. More precisely, how do the characteristics of risk governance, such as the degree of centralization versus decentralization, influence the implementation of a multi-risk approach. The methodology of this research includes comparative case study analysis of top-down and bottom-up interactions in governance in the city of Naples, (Italy), where the institutional landscape is marked by significant autonomy of Italian regions in decision-making processes for assessing the majority of natural risks, excluding volcanic, and in Guadeloupe, French West Indies, an overseas department of France, where the decision-making process is marked by greater centralization in decision making associated with a well established state governance within regions, delegated to the prefect and decentralised services of central ministries. The research design included documentary analysis and extensive empirical work involving
Son, Ji-Young; Bell, Michelle L; Lee, Jong-Tae
Interpolation methods can estimate individual-level exposures to air pollution from ambient monitors; however, few studies have evaluated how different approaches may affect health risk estimates. We applied multiple methods of estimating exposure for several air pollutants. We investigated how different methods of estimating exposure may influence health effect estimates in a case study of lung function data, forced expiratory volume in 1s (FEV1), and forced vital capacity (FVC), for 2102 cohort subjects in Ulsan, Korea, for 2003-2007. Measurements from 13 monitors for particulate matter inverse distance weighting, and kriging. We assessed associations between pollutants and lung function in linear regression models, controlling for age, sex, and body mass index. Cross-validation indicated that kriging provided the most accurate estimated exposures. FVC was associated with all air pollutants under all methods of estimating exposure. Only ozone was associated with FEV1. An 11 ppb increase in lag-0-2 8-h maximum ozone was associated with a 6.1% (95% confidence interval 5.0, 7.3%) decrease in FVC and a 0.50% (95% confidence interval 0.03, 0.96%) decrease in FEV1, based on kriged exposures. Central health effect estimates were generally higher using exposures based on averaging across all monitors or kriging. Results based on the nearest monitor approach had the lowest variance. Findings suggest that spatial interpolation methods may provide better estimates than monitoring values alone by reflecting the spatial variability of individual-level exposures and generating estimates for locations without monitors. PMID:20832787
Roy, T.; Serrat-Capdevila, A.; Gupta, H.; Valdes, J. B.
Real-time satellite precipitation products can be used to drive hydrologic forecasts in downstream areas of poorly gauged basins. We present an improved approach to hydrologic modeling using satellite precipitation estimates to reduce uncertainty, consisting of: (1) bias-correction of satellite products, (2) re-calibration of hydrologic models using bias-corrected estimates, (3) bias-correction of streamflow outputs, and (4) plotting of uncertainty intervals. In addition, we evaluate the benefits of multi-product and model forecasts using four satellite precipitation products (CHIRPS, CMORPH, TMPA, and PERSIANN-CCS) to drive two hydrologic models (HYMOD and HBV-EDU), generating eight forecasts from different model-product-combinations following the approach described above. These probabilistic forecasts are then merged in an attempt to produce an improved forecast with higher accuracy and smaller uncertainty. These methods are applied in the Mara Basin in Kenya, facing serious water sustainability challenges, in an effort to support water management decisions balancing human and environmental needs, as part of the NASA SERVIR Applied Sciences Team.
Full Text Available Magnetic Resonance Imaging (MRI has brought in several benefits to the study of Multiple Sclerosis (MS. It provides accurate measurement of disease activity, facilitates precise diagnosis, and aid in the assessment of newer therapies. The imaging guidelines for MS are broadly divided in to approaches for imaging patients with suspected MS or clinically isolated syndromes (CIS or for monitoring patients with established MS. In this review, the technical aspects of MR imaging for MS are briefly discussed. The imaging process need to capture the twin aspects of acute MS viz. the autoimmune acute inflammatory process and the neurodegenerative process. Gadolinium enhanced MRI can identify acute inflammatory lesions precisely. The commonly applied MRI marker of disease progression is brain atrophy. Whole brain magnetization Transfer Ratio (MTR and Magnetic Resonance Spectroscopy (MRS are two other techniques use to monitor disease progression. A variety of imaging techniques such as Double Inversion Recovery (DIR, Spoiled Gradient Recalled (SPGR acquisition, and Fluid Attenuated Inversion Recovery (FLAIR have been utilized to study the cortical changes in MS. MRI is now extensively used in the Phase I, II and III clinical trials of new therapies. As the technical aspects of MRI advance rapidly, and higher field strengths become available, it is hoped that the impact of MRI on our understanding of MS will be even more profound in the next decade.
Charles Miller Gois de Oliveira
Full Text Available Changes in violent crime rates implies a need for strategies to protect the population. Public safety policies should be focused on preventive security, which has the potential to reduce crime rates. The allocation of the police observation posts contributes to an increase in safety. However, given limited resources, the number of observation units has reduced in most Brazilian cities. Therefore, efficient allocation of these resources is necessary to ensure rational use of security agents. Several aspects influence decisions related to where to install these units, complicating this process. The multiple criteria approach is appropriate in this type of decision-making process, because it allows the decision maker to generate and consolidate knowledge. The results indicate that the most suitable neighborhoods are those with higher rates of violence and greater social gaps. This work presents some benefits to the area of public security, since it formalizes tacit knowledge into explicit knowledge. The information contained in this study may be made available to other public administrators who need to make this kind of decision.
Hanna M Vesterinen
Full Text Available To develop and implement an evidence based framework to select, from drugs already licenced, candidate oral neuroprotective drugs to be tested in secondary progressive multiple sclerosis.Systematic review of clinical studies of oral putative neuroprotective therapies in MS and four other neurodegenerative diseases with shared pathological features, followed by systematic review and meta-analyses of the in vivo experimental data for those interventions. We presented summary data to an international multi-disciplinary committee, which assessed each drug in turn using pre-specified criteria including consideration of mechanism of action.We identified a short list of fifty-two candidate interventions. After review of all clinical and pre-clinical evidence we identified ibudilast, riluzole, amiloride, pirfenidone, fluoxetine, oxcarbazepine, and the polyunsaturated fatty-acid class (Linoleic Acid, Lipoic acid; Omega-3 fatty acid, Max EPA oil as lead candidates for clinical evaluation.We demonstrate a standardised and systematic approach to candidate identification for drug rescue and repurposing trials that can be applied widely to neurodegenerative disorders.
Haddad, N.; Ledley, T. S.; Ellins, K.; McNeal, K.; Bardar, E. W.; Youngman, E.; Lockwood, J.; Dunlap, C.
The EarthLabs Climate Series is a set of four distinct but related high school curriculum modules that help build student and teacher understanding of our planet's complex climate system. The web-based, freely available curriculum modules include a rich set of resources for teachers, and are tied together by a common set of climate related themes that include: 1) the Earth system with the complexities of its positive and negative feedback loops; 2) the range of temporal and spatial scales at which climate, weather, and other Earth system processes occur; and 3) the recurring question, "How do we know what we know about Earth's past and present climate?" which addresses proxy data and scientific instrumentation. The four modules (Climate and the Cryosphere; Climate and the Biosphere; Climate and the Carbon Cycle; and Climate Detectives) approach climate literacy from different contexts, and have provided teachers of biology, chemistry, marine science, environmental science, and earth science with opportunities to address climate science by selecting a module that best supplements the content of their particular course. This presentation will highlight the four curriculum modules in the Climate Series, the multiple pathways they offer teachers for introducing climate science into their existing courses, and the two newest elements of the series: the Climate Series Intro, which holds an extensive set of climate related resources for teachers; and the Climate Detectives module, which is based on the 2013 expedition of the Joides Resolution to collect cores from the seafloor below the Gulf of Alaska.
Marc A. Rosen
Full Text Available The temperature response in the soil surrounding multiple boreholes is evaluated analytically and numerically. The assumption of constant heat flux along the borehole wall is examined by coupling the problem to the heat transfer problem inside the borehole and presenting a model with variable heat flux along the borehole length. In the analytical approach, a line source of heat with a finite length is used to model the conduction of heat in the soil surrounding the boreholes. In the numerical method, a finite volume method in a three dimensional meshed domain is used. In order to determine the heat flux boundary condition, the analytical quasi-three-dimensional solution to the heat transfer problem of the U-tube configuration inside the borehole is used. This solution takes into account the variation in heating strength along the borehole length due to the temperature variation of the fluid running in the U-tube. Thus, critical depths at which thermal interaction occurs can be determined. Finally, in order to examine the validity of the numerical method, a comparison is made with the results of line source method.
The three-dimensional generalized (self-adjoint) atmospheric diffusion equation can be solved analytically. Where the source strength is located at any where within the region of interest, and with arbitrary power- law function of wind speed and eddy diffusivities. The Greens method approach is utilized, where the Green's function is splitting into two factors, As a result of the hermeticity the solution of the diffusion equation can be expressed exact, as a multiple of source and the two factors of the Green's function, vertical dispersion factor, and cross wind dispersion factor. The two factors of the Green's function are derived analytically in which, the Green's of the diffusion equation is splitting into two pair of two-dimensional differential equations, by using: separation of variables, Bessel equation, and transform the dependent and independent variables, and the cosine transformation. All amenable cases are adopted such as: Neumann (total reflection), Dirichlet (total adsorption), and mixed boundary conditions. Gaussian plume model is extracted in all the previously cases
It has become common practice to make use of the multiple contingency principle in all cases where criticality safety depends primarily on controlled rather than inherent parameters. This rule makes use of the fact that the simultaneous occurrence of several independent and unlikely events has a very low probability. If applied in the usual way by merely counting the number of contingencies, this rule has two essentially weak points: firstly, there is no clear definition of what may be considered an acceptable contingency; secondly, no relationship is established between the potential consequences of an accident and the acceptable probability of its occurrence. To overcome these deficiencies, each contingency is given a weight factor, which is related to the logarithm of its failure probability. This permits the ''addition'' of contingencies and determination of the probability of a certain chain of events which could lead to an accident. It is then possible to limit the probability of a nuclear excursion to a low but finite value which can be adjusted to the conceivable consequence of such an accident. This approach does not eliminate the need to use experience and technical judgement in assessing the reliability of equipment components or human actions. However, it is believed to facilitate a systematic and uniform safety analysis of a complex plant. (author)
Franssens, Ghislain; Dekemper, Emmanuel; Mateshivili, Nina; Vanhellemont, filip; fussen, didier; pieroux, didier
The retrieval of atmospheric trace gases and aerosols in the Earth atmosphere from light scattering measurements typically involves an iterative inversion algorithm. A key part of this algorithm is its forward model, which takes care of calculating the amount of light that the remote sensing instrument will see, for any assumed atmosphere composition. The forward model is usually an atmospheric radiative transfer code. It is a serious challenge for a radiative transfer code to be, at the same time, sufficiently accurate and sufficiently fast, so that it can be included in the iterative retrieval loop of an operational service. An accurate code must be able to calculate multiple Rayleigh scattering (important in the UV and/or at lower altitudes) by the air in a spherical atmosphere. This is something that currently only a Monte Carlo algorithm can do. However, any Monte Carlo code is far too slow to be included in the retrieval loop, even if we make use of the currently available HPC power. We report some first results that were obtained by a new solution to this old problem. We first use a HPC cluster to tabulate multiple Rayleigh scattering in a standard Earth atmosphere, using a Monte Carlo code, as function of 6 parameters (albedo, view zenith angle, solar zenith angle, relative azimuth angle, altitude and wavelength). Then, a well chosen empirical function is fitted on the tabulated data. From this function, correction factors are derived and appropriately inserted in a fast single scattering algorithm, which so effectively becomes a multiple scattering algorithm. Since the evaluation of the empirical function is also very fast, we end up with a radiative transfer code that is both accurate and sufficiently fast for operational data production. Our conclusion is that commonly available and affordable HPC systems can still not directly solve the retrieval problem with sufficient accuracy in real time. However, the above described two step approach now becomes
Nwagu, Evelyn N; Ezedum, Chuks E; Nwagu, Eric K N
The rising incidence of drug abuse among youths in Nigeria is a source of concern for health educators. This study was carried out on primary six pupils to determine the effect of a Multiple Intelligences Teaching Approach Drug Education Programme (MITA-DEP) on pupils' acquisition of drug refusal skills. A programme of drug education based on the Multiple Intelligences Teaching Approach (MITA) was developed. An experimental group was taught using this programme while a control group was taught using the same programme but developed based on the Traditional Teaching Approach. Pupils taught with the MITA acquired more drug refusal skills than those taught with the Traditional Teaching Approach. Urban pupils taught with the MITA acquired more skills than rural pupils. There was no statistically significant difference in the mean refusal skills of male and female pupils taught with the MITA. PMID:25288586
Domingues, I; Oliveira, R; Soares, A M V M; Amorim, M J B
Ivermectin (IVM) is a broad acting antihelmintic used in various veterinary pharmaceuticals. It has been shown that IVM enters the aquatic compartment and adversely affects organisms including fish. This study is based on the hypothesis that long term exposure to IVM affects fish and thus, the main objective was to assess the chronic effects of 0.25 and 25 µg IVM/L to zebrafish using multiple endpoints representative of several levels of biological organization: weight, behaviour (swimming and feeding) and subcellular markers including biomarkers for oestrogenicity (vitellogenin-VTG), oxidative stress (catalase-CAT and glutathione-S-transferase-GST) and neurotransmission (cholinesterase-ChE). Concentrations as low as 0.25 µg IVM/L disrupted the swimming behaviour, causing fish to spend more time at the bottom of aquaria. Such reduction of the swimming performance affected the feeding ability which is likely responsible for the weight loss. The effects on weight were gender differentiated, being more pronounced in males (0.25 µg IVM/L) than in females (25 µg IVM/L). Fish exposed to 25 µg/L exhibited darker coloration and mild curvature of the spine. No effects on VTG and AChE were observed, but a reduction on CAT and GST levels was observed in fish exposed to 25 µg IVM/L, although these alterations probably only reflect the general condition of the fish which was significantly compromised at this concentration. Despite that predicted environmental concentrations of IVM are below 0.25 µg/L, the behavioural effects may be translated into important ecological impacts, e.g. at predator-prey interactions where fish competitive advantage can be decreased. Future work should address the link between behaviour disruption and population fitness. The current study was based on a one experiment and multiple endpoint (anchored) approach, allowing the results to be integrated and linked towards a mechanistic understanding. PMID:26769347
Huber, Stephan Gerhard
This article investigates the use of multiple learning approaches and different modes and types of learning in the (continuous) professional development (PD) of school leaders, particularly the use of self-assessment and feedback. First, formats and multiple approaches to professional learning are described. Second, a possible approach to…
Nieves Velez de Mendizabal
Full Text Available Relapsing-remitting dynamics are a hallmark of autoimmune diseases such as Multiple Sclerosis (MS. A clinical relapse in MS reflects an acute focal inflammatory event in the central nervous system that affects signal conduction by damaging myelinated axons. Those events are evident in T1-weighted post-contrast magnetic resonance imaging (MRI as contrast enhancing lesions (CEL. CEL dynamics are considered unpredictable and are characterized by high intra- and inter-patient variability. Here, a population approach (nonlinear mixed-effects models was applied to analyse of CEL progression, aiming to propose a model that adequately captures CEL dynamics.We explored several discrete distribution models to CEL counts observed in nine MS patients undergoing a monthly MRI for 48 months. All patients were enrolled in the study free of immunosuppressive drugs, except for intravenous methylprednisolone or oral prednisone taper for a clinical relapse. Analyses were performed with the nonlinear mixed-effect modelling software NONMEM 7.2. Although several models were able to adequately characterize the observed CEL dynamics, the negative binomial distribution model had the best predictive ability. Significant improvements in fitting were observed when the CEL counts from previous months were incorporated to predict the current month's CEL count. The predictive capacity of the model was validated using a second cohort of fourteen patients who underwent monthly MRIs during 6-months. This analysis also identified and quantified the effect of steroids for the relapse treatment.The model was able to characterize the observed relapsing-remitting CEL dynamic and to quantify the inter-patient variability. Moreover, the nature of the effect of steroid treatment suggested that this therapy helps resolve older CELs yet does not affect newly appearing active lesions in that month. This model could be used for design of future longitudinal studies and clinical trials, as
Full Text Available Abstract Background Data requirements by governments, donors and the international community to measure health and development achievements have increased in the last decade. Datasets produced in surveys conducted in several countries and years are often combined to analyse time trends and geographical patterns of demographic and health related indicators. However, since not all datasets have the same structure, variables definitions and codes, they have to be harmonised prior to submitting them to the statistical analyses. Manually searching, renaming and recoding variables are extremely tedious and prone to errors tasks, overall when the number of datasets and variables are large. This article presents an automated approach to harmonise variables names across several datasets, which optimises the search of variables, minimises manual inputs and reduces the risk of error. Results Three consecutive algorithms are applied iteratively to search for each variable of interest for the analyses in all datasets. The first search (A captures particular cases that could not be solved in an automated way in the search iterations; the second search (B is run if search A produced no hits and identifies variables the labels of which contain certain key terms defined by the user. If this search produces no hits, a third one (C is run to retrieve variables which have been identified in other surveys, as an illustration. For each variable of interest, the outputs of these engines can be (O1 a single best matching variable is found, (O2 more than one matching variable is found or (O3 not matching variables are found. Output O2 is solved by user judgement. Examples using four variables are presented showing that the searches have a 100% sensitivity and specificity after a second iteration. Conclusion Efficient and tested automated algorithms should be used to support the harmonisation process needed to analyse multiple datasets. This is especially relevant when
L. Belelli Marchesini
Full Text Available Steppe ecosystems represent an interesting case in which the assessment of carbon balance may be performed through a cross validation of the eddy covariance measurements against ecological inventory estimates of carbon exchanges (Ehman, 2002; Curtis, 2002.
Indeed, the widespread presence of ideal conditions for the applicability of the eddy covariance technique, as vast and homogeneous grass vegetation cover over flat terrains (Baldocchi, 2003, make steppes a suitable ground to ensure a constrain to flux estimates with independent methodological approaches.
We report about the analysis of the carbon cycle of a true steppe ecosystem in southern Siberia during the growing season of 2004 in the framework of the TCOS-Siberia project activities performed by continuous monitoring of CO2 fluxes at ecosystem scale by the eddy covariance method, fortnightly samplings of phytomass, and ingrowth cores extractions for NPP assessment, and weekly measurements of heterotrophic component of soil CO2 effluxes obtained by an experiment of root exclusion.
The carbon balance of the monitored natural steppe was, according to micrometeorological measurements, a sink of carbon of 151.7± 30.1 gC m−2, cumulated during the growing season from May to September. This result was in agreement with the independent estimate through ecological inventory which yielded a sink of 150.1 gC m−2 although this method was characterized by a large uncertainty (±130% considering the 95% confidence interval of the estimate. Uncertainties in belowground process estimates account for a large part of the error. Thus, in particular efforts to better quantify the dynamics of root biomass (growth and turnover have to be undertaken in order to reduce the uncertainties in the assessment of NPP. This assessment should be preferably based on the application of multiple methods, each one characterized by its own merits and
Pan, Shu-Yuan; Liu, Hsing-Lu; Chang, E-E; Kim, Hyunook; Chen, Yi-Hung; Chiang, Pen-Chi
Basic oxygen furnace slag (BOFS) exhibits highly alkaline properties due to its high calcium content, which is beneficial to carbonation reaction. In this study, accelerated carbonation of BOFS was evaluated under different reaction times, temperatures, and liquid-to-solid (L/S) ratios in a slurry reactor. CO2 mass balance within the slurry reactor was carried out to validate the technical feasibility of fixing gaseous CO2 into solid precipitates. After that, a multiple model approach, i.e., theoretical kinetics and empirical surface model, for carbonation reaction was presented to determine the maximal carbonation conversion of BOFS in a slurry reactor. On one hand, the reaction kinetics of BOFS carbonation was evaluated by the shrinking core model (SCM). Calcite (CaCO3) was identified as a reaction product through the scanning electronic microscopy and X-ray diffraction analyses, which provided the rationale of applying the SCM in this study. The rate-limiting step of carbonation was found to be ash-diffusion controlled, and the effective diffusivity for carbonation of BOFS in a slurry reactor were determined accordingly. On the other hand, the carbonation conversion of BOFS was predicted by the response surface methodology (RSM) via a nonlinear mathematical programming. According to the experimental data, the highest carbonation conversion of BOFS achieved was 57% under an L/S ratio of 20 mL g(-1), a CO2 flow rate of 0.1 L min(-1), and a pressure of 101.3 kPa at 50 °C for 120 min. Furthermore, the applications and limitations of SCM and RSM were examined and exemplified by the carbonation of steelmaking slags. PMID:27038901