Stimulating design reuse through automated coding

In designing new product the ability to retrieve drawings of existing components is important if costs are to be controlled by preventing unnecessary duplication if parts. Component coding and classification systems have been used successfully for these purposes but suffer from high operational costs and poor usability arising directly from the manual nature of the coding process itself. A new version of an existing coding system (CAMAC) has been developed to reduce costs by automatically coding engineering drawings. Usability is improved be supporting searches based on a drawing or sketch of the desired component. Test results from a database of several thousand drawings are presented.

Structuring of Ranked Models

Prognostic procedures can be based on ranked linear models. Ranked regression type models are designed on the basis of feature vectors combined with set of relations defined on selected pairs of these vectors. Feature vectors are composed of numerical results of measurements on particular objects or events. Ranked relations defined on selected pairs of feature vectors represent additional knowledge and can reflect experts' opinion about considered objects. Ranked models have the form of linear transformations of feature vectors on a line which preserve a given set of relations in the best manner possible. Ranked models can be designed through the minimization of a special type of convex and piecewise linear (CPL) criterion functions. Some sets of ranked relations cannot be well represented by one ranked model. Decomposition of global model into a family of local ranked models could improve representation. A procedures of ranked models decomposition is described in this paper.

Signal processing of physiological signals for automated assessment of stress in computer users

The need to provide computers with the ability to distinguish the affective state of their users is a major requirement for the practical implementation of affective computing concepts. This dissertation proposes the application of signal processing methods on physiological signals to extract from them features that can be processed by learning pattern recognition systems to provide cues about a person's affective state. In particular, combining physiological information sensed from a user's left hand in a non-invasive way with the pupil diameter information from an eye-tracking system may provide a computer with an awareness of its user's affective responses in the course of human-computer interactions. In this study an integrated hardware-software setup was developed to achieve automatic assessment of the affective status of a computer user. A computer-based "Paced Stroop Test" was designed as a stimulus to elicit emotional stress in the subject during the experiment. Four signals: the Galvanic Skin Response (GSR), the Blood Volume Pulse (BVP), the Skin Temperature (ST) and the Pupil Diameter (PD), were monitored and analyzed to differentiate affective states in the user. Several signal processing techniques were applied on the collected signals to extract their most relevant features. These features were analyzed with learning classification systems, to accomplish the affective state identification. Three learning algorithms: Naïve Bayes, Decision Tree and Support Vector Machine were applied to this identification process and their levels of classification accuracy were compared. The results achieved indicate that the physiological signals monitored do, in fact, have a strong correlation with the changes in the emotional states of the experimental subjects. These results also revealed that the inclusion of pupil diameter information significantly improved the performance of the emotion recognition system. ^

Gravidade do olho seco em pacientes internados em unidade de terapia intensiva: análise de conceito e construção de definições

Dry eye syndrome is a multifactorial disease of the tear film, resulting from the instability of the lacrimal functional unit that produces volume change, up or tear distribution. In patients in intensive care the cause is enhanced due to various risk factors, such as mechanical ventilation, sedation, lagophthalmos, low temperatures, among others. The study's purpose is to build an assessment tool of Dry Eye Severity in patients in intensive care units based on the systematization of nursing care and their classification systems. The aim of this study is to build an assessment tool of Dry Eye Severity in hospitalized patients in Care Unit Intensiva.Trata is a methodological study conducted in three stages, namely: context analysis, concept analysis, construction of operational definitions and magnitudes of nursing outcome. For the first step we used the methodological framework for Hinds, Chaves and Cypress (1992). For the second step we used the model of Walker and Avant and an integrative review Whitemore seconds, Knalf (2005). This step enabled the identification of the concept of attributes, background and consequent ground and the construction of the settings for the result of nursing severity of dry eye. For the construction of settings and operational magnitudes, it was used Psicometria proposed by Pasquali (1999). As a result of context analysis, visualized from the reflection that the matter should be discussed and that nursing needs to pay attention to the problem of eye injury, so minimizing strategies are created this event with a high prevalence. With the integrative review were located from the crosses 19 853 titles, selected 215, and from the abstracts 96 articles were read in full. From reading 10 were excluded culminating in the sample of 86 articles that were used to analyze the concept and construction of settings. Selected articles were found in greater numbers in the Scopus database (55.82%), performed in the United States (39.53%), and published mainly in the last five years (48.82). Regarding the concept of analysis were identified as antecedents: age, lagophthalmos, environmental factors, medication use, systemic diseases, mechanical ventilation and ophthalmic surgery. As attributes: TBUT <10s, Schimer I test <5 mm in Schimer II test <10mm, reduced osmolarity. As consequential: the ocular surface damage, ocular discomfort, visual instability. The settings were built and added indicators such as: decreased blink mechanism and eyestrain.

Análisis y reformulación de la organización del conocimiento en las Ciencias de la Comunicación: aplicación para la codificación UNESCO

Se estudia la codificación y organización del campo de las Ciencias de la Comunicación, fundamentalmente los códigos Unesco. El objetivo es plantear un cambio en estos códigos, puesto que la forma de clasificar y organizar un dominio científico tiene consecuencias de naturaleza operativa y epistemológica en el propio trabajo científico. En este trabajo se estudia la clasificación actual, que muestra una presencia escasa y dispersa de los términos vinculados a Comunicación. Se describen las dificultades prácticas y teóricas que conlleva su reorganización, las posibles fuentes (planes de estudio, congresos, revistas científicas, propuestas documentales y palabras clave) y los métodos de trabajo que se pueden emplear, tomando como bases teóricas el dominio de la Organización del Conocimiento y el de la Comunicación. Por último, se analizan dos ámbitos disciplinares diferentes (Historia de la Comunicación y Tecnologías de la Comunicación), mediante la información recogida, en una base de datos, de asignaturas en grado y en másteres oficiales de 12 universidades españolas. También se observa que este tipo de propuesta requiere el conocimiento derivado de instrumentos documentales como las clasificaciones y los tesauros.

PEG-based solid dispersions enhanced the solubility and dissolution of eprosartan mesylate in-vitro

Abstract - This study investigates the effect of solid dispersions prepared from of polyethylene glycol (PEG) 3350 and 6000 Da alone or combined with the non-ionic surfactant Tween 80 on the solubility and dissolution rate of a poorly soluble drug eprosartan mesylate (ESM) in attempt to improve its bioavailability following its oral administration.

INTRODUCTION

ESM is a potent anti-hypertension [1]. It has low water solubility and is classified as a Class II drug as per the Biopharmaceutical Classification Systems (BCS) leading to low and variable oral bioavailability (approximately 13%). [2]. Thus, improving ESM solubility and/or dissolution rate would eventually improve the drug bioavailability. Solid dispersion is widely used technique to improve the water solubility of poorly water-soluble drugs employing various biocompatible polymers. In this study, we aimed to enhance the solubility and dissolution of EMS employing solid dispersion (SD) formulated from two grades of poly ethylene glycol (PEG) polymers (i.e. PEG 3350 & PEG 6000 Da) either individually or in combination with Tween 80.

MATERIALS AND METHODS

ESM SDs were prepared by solvent evaporation method using either PEG 3350 or PEG 6000 at various (drug: polymer, w/w) ratios 1:1, 1:2, 1:3, 1:4, 1:5 alone or combined with Tween 80 added at fixed percentage of 0.1 of drug by weight?. Physical mixtures (PMs) of drug and carriers were also prepared at same ratios. Drug solid dispersions and physical mixtures were characterized in terms of drug content, drug dissolution using dissolution apparatus USP II and assayed using HPLC method. Drug dissolution enhancement ratio (ER %) from SD in comparison to the plain drug was calculated. Drug-polymer interactions were evaluated using Differential Scanning Calorimetry (DSC) and FT-IR.

RESULTS AND DISCUSSION

The in vitro solubility and dissolution studies showed SDs prepared using both polymers produced a remarkable improvement (p<0.05) in comparison to the plain drug which reached around 32% (Fig. 1). The dissolution enhancement ratio was polymer type and concentration-dependent. Adding Tween 80 to the SD did not show further dissolution enhancement but reduced the required amount of the polymer to get the same dissolution enhancement. The DSC and FT-IR studies indicated that using SD resulted in transformation of drug from crystalline to amorphous form.

CONCLUSIONS

This study indicated that SDs prepared by using both polymers i.e. PEG 3350 and PEG 6000 improved the in-vitro solubility and dissolution of ESM remarkably which may result in improving the drug bioavailability in vivo.

Acknowledgments

This work is a part of MSc thesis of O.M. Ali at the Faculty of Pharmacy, Aleppo University, Syria.

REFERENCES

[1] Ruilope L, Jager B: Eprosartan for the treatment of hypertension. Expert Opin Pharmacother 2003; 4(1):107-14

[2] Tenero D, Martin D, Wilson B, Jushchyshyn J, Boike S, Lundberg, D, et al. Pharmacokinetics of intravenously and orally administered Eprosartan in healthy males: absolute bioavailability and effect of food. Biopharm Drug Dispos 1998; 19(6): 351- 6.

Valoración nutricional mediante curvas de crecimiento de la OMS y las clasificaciones de Gómez / Waterlow. Estudio de prevalencia. Cuenca-2015

Objetivo: Determinar la prevalencia de malnutrición mediante las curvas de crecimiento (OMS) y de desnutrición según la clasificación Gómez/Waterlow; establecer ventajas y desventajas del empleo de ambos sistemas de clasificación. Métodos: Estudio de prevalencia realizado en el Subcentro de Salud Sinincay, con una población de 737 niños/as registrados en la matriz de vigilancia alimentaria y nutricional (SIVAN) durante Enero-Junio 2015, que identificó la malnutrición infantil mediante el uso de criterios OMS y de desnutrición según Gómez/ Waterlow. Resultados: De 47.6% niñas y 52.4% niños, divididos en lactantes (35.8%) y preescolares (64.2%), se determinó la prevalencia de malnutrición según las tablas de OMS (bajo peso 4.6%, bajo peso severo 0.4%, talla baja 20.8%, talla baja severa 2.8%, sobrepeso 0.5% y obesidad 0.3%) y de desnutrición según la clasificación de Gómez/Waterlow (desnutrición aguda 0.1%, desnutrición crónica agudizada 0.1% y enanismo nutricional 30.3%). No hubo variaciones estadísticamente significativas (p>0.05) entre sexo/grupo etario y ambos sistemas de clasificación, pero si existió variación estadística (p<0.05) entre la relación de la OMS y la clasificación Gómez/Waterlow. Conclusiones: El método de Gómez/Waterlow permitió detectar mayor número de casos de desnutrición mientras que las curvas OMS, detectaron sobrepeso y obesidad

Aproximación al desarrollo de un sistema de transporte masivo a través de la dinámica de sistemas

El porvenir social y económico de una ciudad depende, en gran medida, de la eficiencia de su sistema de transporte; esto se ve reflejado en la capacidad de transportar personas y bienes de una forma sostenible, con los recursos disponibles. En la actualidad se encuentran en desarrollo sistemas de transporte masivo tipo Bus Rapid Transit [BRT] en siete ciudades colombianas, situación que genera la necesidad de dar seguimiento a su progreso y al crecimiento de su participación en la demanda de viajes unipersonales. El siguiente trabajo busca, a través de una simulación en dinámica de sistemas, describir el desarrollo de un sistema de transporte masivo, con el fin de otorgar una visión acerca del impacto de los parámetros operativos y la reinversión en el sistema y en el desarrollo e incremento de su demanda. Se plantean tres escenarios para evaluar diferentes políticas operativas y de reinversión en el sistema, analizando el comportamiento en su desarrollo.

Complicaciones perioperatorias en el manejo de corrección de escoliosis en un hospital de tercer nivel en la ciudad de Bogotá entre el 2010-2014

Introducción: la escoliosis, definida como una deformidad de la columna vertebral en más de 10 grados, se agrupa en 4 orígenes distintos: idiopática, congénita, neuromuscular y sindromática. Cada una de ellas con diferente riesgo de progresión en severidad, lo que determina la necesidad de corrección quirúrgica para cada caso en su tratamiento. Conocer las probabilidades de complicación en la etapa peri operatoria, abre la posibilidad de dar asesoría integral que mida la relación riesgo - beneficio de la medida terapéutica. Métodos: se realiza un estudio retrospectivo de corte transversal. La información se obtiene de los registros de las historias clínicas desde el año 2010 al 2014, de pacientes intervenidos quirúrgicamente para la corrección de escoliosis. Resultados: Se obtuvieron 318 registros de procedimientos en 230 pacientes. El tipo de escoliosis presentado con mayor frecuencia es de origen idiopático 108 (47%); en los 4 tipos de escoliosis se observa mayor número de mujeres 169 (73,4%). La edad donde se concentran la mayor cantidad de cirugías para corrección de escoliosis está entre 10 - 14 años. De 13 complicaciones seleccionadas, aquellas de origen respiratorio son las de mayor probabilidad de ocurrencia (OR 30 - sig 0,000). La característica sociodemográfica “edad” logra predecir el 46% de las complicaciones perioperatorias. Discusión: La corrección de escoliosis va acompañada de comorbilidades, datos sociodemográficos y diagnósticos que en conjunto determinan el grado de complicación peri operatoria. Se necesitan registros clínicos muy completos para poder determinar la asociación entre la etiología de la escoliosis con las complicaciones más comunes. Este trabajo propone y evidencia los datos de los registros clínicos como predictores de complicaciones quirúrgicas de escoliosis. Esto exige un trabajo institucional interno que garantice la calidad en los registros de datos clínicos.

Síntomas y factores ergonómicos asociados con trastornos musculoesqueléticos (TME) en una población de trabajadores administrativos de una empresa de servicios, 2015

Introducción. Los Trastornos Musculoesqueléticos (TME) son lesiones de músculos, tendones, nervios y articulaciones que tienen como principal síntoma el dolor y se presentan con gran frecuencia en trabajos que requieren una actividad física importante o como consecuencia de malas posturas sostenidas durante largos periodos de tiempo. Objetivo: Determinar la prevalencia de síntomas osteomusculares y su asociación con factores ergonómicos en una población de trabajadores administrativos de una empresa de servicios en Bogotá, Colombia, en el año 2015. Método: Se realizó un estudio de corte transversal. Se analizaron datos secundarios correspondientes a una base de datos de una población de 450 trabajadores pertenecientes al área administrativa de una empresa de servicios, de los cuales se incluyeron 150 registros que tenían la información completa de las variables del estudio. Se tuvieron en cuenta variables sociodemográficas, ocupacionales y la presencia de síntomas osteomusculares. Incluyó también el registro de condiciones de la estación de trabajo recolectada mediante inspecciones de puestos de trabajo (registro fotográfico y formato estandarizado para condiciones observadas). Se realizó un análisis descriptivo considerando las medidas de tendencia central para las variables cuantitativas y distribución de frecuencias para las variables cualitativas. Resultados: Predominó el género femenino (56%) dentro de la población estudiada, con una edad media para ambos géneros de 35 años (75%), (DS ± 7.0). El síntoma más frecuentemente reportado fue el dolor en cuello (17%) seguido por dolor en muñeca (11%) y dolor lumbar (8.7%). Del total de los trabajadores evaluados, el 80% correspondió al cargo ejecutivo, que reúne funciones administrativas especializadas complejas y/o de supervisión directa. De la población femenina objeto de estudio el 76% se desempeñaban en el cargo ejecutivo. Las condiciones ergonómicas por mejorar de mayor frecuencia fueron altura y distancia de la pantalla (42%) y cables sueltos (30%). La frecuencia de síntomas fue más alta en el rango de edad de 31 a 45 años. Conclusiones: En este estudio se encontró que los síntomas osteomusculares más frecuentes se ubicaron en el segmento axial (cuello y región lumbar) y en mano y que las condiciones de altura y distancia de la pantalla y cables sueltos presentaron las frecuencias más altas de condiciones por mejorar. Se hace necesaria la implementación de programas de prevención de TME, la vigilancia de casos y la intervención de las condiciones de los puestos de trabajo. Se debe promover la identificación y promoción de conductas saludables dentro del ámbito laboral y la prevención de condiciones que favorezcan la aparición del riesgo biomecánico.

Comparison of oxygen mass transfer coefficient in simple and extractive fermentation systems

Aeration and agitation are important variables to ensure effective oxygen transfer rate during aerobic bioprocesses: therefore, the knowledge of the volumetric mass transfer coefficient (k(L)a) is required. In view of selecting the optimum oxygen requirements for extractive fermentation in aqueous two-phase system (ATPS), the k(L)a values in a typical ATPS medium were compared in this work with those in distilled water and in a simple fermentation medium. in the absence of biomass. Aeration and agitation were selected as the independent variables using a 2(2) full factorial design. Both variables showed statistically significant effects on k(L)a, and the highest values of this parameter in both media for simple fermentation (241 s(-1)) and extractive fermentation with ATPS (70.3 s(-1)) were observed at the highest levels of aeration (5 vvm) and agitation (1200 rpm). The k(L)a values were then used to establish mathematical correlations of this response as a function of the process variables. The exponents of the power number (N(3)D(2)) and superficial gas velocity (V(s)) determined in distilled water (alpha = 0.39 and beta = 0.47, respectively) were in reasonable agreement with the ones reported in the literature for several aqueous systems and close to those determined for a simple fermentation medium (alpha=0.38 and beta=0.41). On the other hand, as expected by the increased viscosity in the presence of polyethylene glycol, their values were remarkably higher in a typical medium for extractive fermentation (alpha=0.50 and beta=1.0). A reasonable agreement was found between the experimental data of k(L)a for the three selected systems and the values predicted by the theoretical models, under a wide range of operational conditions. (C) 2009 Elsevier B.V. All rights reserved.

Comparative evaluation of underlying causes of death processed by the Automated Classification of Medical Entities and the Underlying Cause of Death Selection Systems

INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.

A sensor classification strategy for robotic manipulators

In practice the robotic manipulators present some degree of unwanted vibrations. The advent of lightweight arm manipulators, mainly in the aerospace industry, where weight is an important issue, leads to the problem of intense vibrations. On the other hand, robots interacting with the environment often generate impacts that propagate through the mechanical structure and produce also vibrations. In order to analyze these phenomena a robot signal acquisition system was developed. The manipulator motion produces vibrations, either from the structural modes or from endeffector impacts. The instrumentation system acquires signals from several sensors that capture the joint positions, mass accelerations, forces and moments, and electrical currents in the motors. Afterwards, an analysis package, running off-line, reads the data recorded by the acquisition system and extracts the signal characteristics. Due to the multiplicity of sensors, the data obtained can be redundant because the same type of information may be seen by two or more sensors. Because of the price of the sensors, this aspect can be considered in order to reduce the cost of the system. On the other hand, the placement of the sensors is an important issue in order to obtain the suitable signals of the vibration phenomenon. Moreover, the study of these issues can help in the design optimization of the acquisition system. In this line of thought a sensor classification scheme is presented. Several authors have addressed the subject of the sensor classification scheme. White (White, 1987) presents a flexible and comprehensive categorizing scheme that is useful for describing and comparing sensors. The author organizes the sensors according to several aspects: measurands, technological aspects, detection means, conversion phenomena, sensor materials and fields of application. Michahelles and Schiele (Michahelles & Schiele, 2003) systematize the use of sensor technology. They identified several dimensions of sensing that represent the sensing goals for physical interaction. A conceptual framework is introduced that allows categorizing existing sensors and evaluates their utility in various applications. This framework not only guides application designers for choosing meaningful sensor subsets, but also can inspire new systems and leads to the evaluation of existing applications. Today’s technology offers a wide variety of sensors. In order to use all the data from the diversity of sensors a framework of integration is needed. Sensor fusion, fuzzy logic, and neural networks are often mentioned when dealing with problem of combing information from several sensors to get a more general picture of a given situation. The study of data fusion has been receiving considerable attention (Esteban et al., 2005; Luo & Kay, 1990). A survey of the state of the art in sensor fusion for robotics can be found in (Hackett & Shah, 1990). Henderson and Shilcrat (Henderson & Shilcrat, 1984) introduced the concept of logic sensor that defines an abstract specification of the sensors to integrate in a multisensor system. The recent developments of micro electro mechanical sensors (MEMS) with unwired communication capabilities allow a sensor network with interesting capacity. This technology was applied in several applications (Arampatzis & Manesis, 2005), including robotics. Cheekiralla and Engels (Cheekiralla & Engels, 2005) propose a classification of the unwired sensor networks according to its functionalities and properties. This paper presents a development of a sensor classification scheme based on the frequency spectrum of the signals and on a statistical metrics. Bearing these ideas in mind, this paper is organized as follows. Section 2 describes briefly the robotic system enhanced with the instrumentation setup. Section 3 presents the experimental results. Finally, section 4 draws the main conclusions and points out future work.

Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models.

BACKGROUND: We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. METHODS: Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i) linear regression; (ii) logistic classification; (iii) regression trees; (iv) classification trees (iii and iv are collectively known as "CART"). Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. RESULTS: Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60-80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. CONCLUSIONS: There were no striking differences between either the algebraic (i, ii) vs. non-algebraic (iii, iv), or the regression (i, iii) vs. classification (ii, iv) modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.