Lung tumor is a group of abnormal cells that are formed from the process of excessive and uncoordinated cell division in the lung or known as a neoplasia. Neoplasia refers to the growth of new cells that are different...
Lung tumor is a group of abnormal cells that are formed from the process of excessive and uncoordinated cell division in the lung or known as a neoplasia. Neoplasia refers to the growth of new cells that are different from the growth of cells around it. The Tumor can formed to be benign tumors that not cause cancer and malignant tumors that can cause cancer. Chest X-ray is the most technique that used for detecting a lung tumor. Image processing is done by mean for distinguishing the classification lung tumor. Based on previous research the most used method is the mathematical method, but the result obtained are not maximal. Therefore, in this study we propose methods to classify lung tumor by using statistical modelling approach with logit link function based on parametric model, and nonparametric model using penalized spline estimator. Based on the proposed method, we get the classification accuracy of 80% for parametric model approach and 85% for nonparametric model approach, it means that the nonparametric model approach is better than the parametric model approach.
Aims: The short QT syndrome (SQTS) is a rare genetic disorder associated with arrhythmias and sudden cardiac death (SCD). The SQT1 and SQT3, SQTS variants, result from gain-of-function mutations (N588K and D172N, resp...
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Aims: The short QT syndrome (SQTS) is a rare genetic disorder associated with arrhythmias and sudden cardiac death (SCD). The SQT1 and SQT3, SQTS variants, result from gain-of-function mutations (N588K and D172N, respectively) in the KCNH2-encoded and KCNJ2-encoded potassium channels, in which treatment with potassium channel blocking agents has demonstrated some efficacy. This study used in silico modelling to gain mechanistic insights into the actions of anti-malarial drug chloroquine (CQ) in the setting of SQT1 and SQT3. Methods and Results: The ten Tusscher et al. human ventricle model was modified to a Markov chain formulation of I_(Kr) and a Hodgkin-Huxley formulation of I_(K1) describing SQT1 and SQT3 mutant conditions, respectively. Cell models were incorporated into heterogeneous one-dimensional (1D) transmural ventricular strand model to assess prolongation of the QT intervals. The blocking effects of CQ on I_(K1) and I_(Kr) were modelled by using Hill coefficient and IC_(50) from literatures. At the single cells, CQ prolonged the AP duration (APD) under both the SQT1 and SQT3 conditions;at the multi-cell strand level, CQ prolonged the QT intervals and declined the T-wave amplitude under both conditions. Conclusions: This computational study provides novel insights into the efficacy of CQ in the setting of SQT1 and SQT3 variants, and indicates that CQ is a useful drug in the treatment of SQTS.
Various studies in epidemiology have shown interesting developments in recent years. Models with different approached have successfully described the nature of epidemic transmission and the one of it is the role of hu...
Various studies in epidemiology have shown interesting developments in recent years. Models with different approached have successfully described the nature of epidemic transmission and the one of it is the role of humanbehaviour. Essential to note that changes in behaviour can lead to health condition status of an individual, therefore, maintenance of individual health (eating habits, daily activities, lifestyle, etc.) and environment’s condition are important. This paper presented on the development of maintenance modelling in humanbehaviour on the epidemic transmission. New developing areas in maintenance modelling such as inspection maintenance and condition based maintenance are systematically modelled and discussed according to the disease dynamic and humanbehaviour. This effort is hoped to give insight and understanding for future studies in epidemic transmission.
作者:
Mircea BarnaureDaniel ManoliFaculty of Civil
Industrial and Agricultural Buildings Technical University of Civil Engineering Bucharest 122 - 124 Lacul Tei Blv 020396 Bucharest Romania
The soil-structure interaction (SSI) effects can substantially alter the behaviour of structures during earthquakes. Implementation of SSI within the seismic analysis often leads to lower stresses in the structure and...
The soil-structure interaction (SSI) effects can substantially alter the behaviour of structures during earthquakes. Implementation of SSI within the seismic analysis often leads to lower stresses in the structure and therefore a more economical design. The recently introduced provisions in European and American codes allow for this type of approach. However, consideration of SSI can also lead to the observation of unfavourable effects (undetectable in a fixed-base analysis) due to the modification of the structure's dynamic properties. Examples of unfavourable effects include higher global displacements or story drifts, increases of the base or story shear forces, higher post-elastic demands in the structural members or the collision of adjacent buildings separated by an insufficient structural joint. These unfavourable effects can be related to various parameters such as the structural system (frames or shear walls), foundation type (shallow or piles), geometry of the foundation, height of the building, soil type, seismic input, presence of adjacent buildings, etc. Under these circumstances, the integration of SSI into the current structural design becomes essential. As the mathematical formulation of the phenomenon is very complex and involves many parameters, the definition of complete numerical models is difficult. The provisions in the codes are often general and do not give the practicing engineers clear modelling solutions. An analysis of the current situation in the field of SSI is carried out, with a focus on the design of reinforced concrete structures. Based on an extensive literature review, the unfavourable seismic effects and the main parameters that determine them are identified. Conclusions are drawn regarding the situations when SSI should be mandatory and on the different possibilities of implementing SSI in the structural design.
This contribution deals with mathematicalmodelling and numerical simulation of the human phonation process. This phenomena is described as a coupled problem composed of the three mutually coupled physical fields: the...
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ISBN:
(纸本)9788494690921
This contribution deals with mathematicalmodelling and numerical simulation of the human phonation process. This phenomena is described as a coupled problem composed of the three mutually coupled physical fields: the deformation of elastic body, the fluid flow and the acoustics. For the sake of simplicity only a two-dimensional model problems is considered in this paper. The fluid-structure interaction problem is described by the incompressible Navier-Stokes equations, by the linear elasticity theory and by the interface conditions. In order to capture the motion of the fluid domain the arbitrary Lagrangian-Eulerian method is used. The strongly coupled partitioned scheme is used for solution of the coupled fluid-structure problem. For solution of acoustics the acoustic analogies are used. Two analogies are compared - the Lighthill analogy and convected perturbation wave equation. The influence of acoustic field back to fluid as well as to structure is neglected. The numerical approximation of all three physical domains is perforemd with the aid of the finite element method. The numerical results present sound propagation through the model of the vocal tract.
human cognitive modeling techniques and related software tools have been widely used by researchers and practitioners to evaluate the effectiveness of user interface (UI) designs and related human performance. However...
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ISBN:
(纸本)9783319584607;9783319584591
human cognitive modeling techniques and related software tools have been widely used by researchers and practitioners to evaluate the effectiveness of user interface (UI) designs and related human performance. However, they are rarely used in the cyber security field despite the fact that human factors have been recognized as a key element for cyber security systems. For a cyber security system involving a relatively complicated UI, it could be difficult to build a cognitive model that accurately captures the different cognitive tasks involved in all user interactions. Using a moderately complicated user authentication system as an example system and CogTool as a typical cognitive modeling tool, this paper aims to provide insights into the use of eye-tracking data for facilitating human cognitive modeling of cognitive tasks more effectively and accurately. We used visual scan paths extracted from an eye-tracking user study to facilitate the design of cognitive modeling tasks. This allowed us to reproduce some insecure human behavioral patterns observed in some previous lab-based user studies on the same system, and more importantly, we also found some unexpected new results about human behavior. The comparison between human cognitive models with and without eye-tracking data suggests that eye-tracking data can provide useful information to facilitate the process of human cognitive modeling as well as to achieve a better understanding of security-related human behaviors. In addition, our results demonstrated that cyber security research can benefit from a combination of eye-tracking and cognitive modeling to study human behavior related security problems.
Good quality data is important to guarantee for the best quality results of research analysis. However, the quality of the data often being impacted by the existence of missing values that bring bad implication on the...
Good quality data is important to guarantee for the best quality results of research analysis. However, the quality of the data often being impacted by the existence of missing values that bring bad implication on the accuracy of analysis and subsequently lead to biased results. In air quality data set, missing values problem often caused by various reasons, for example machine malfunction and errors, computer system crashes, human error and insufficient sampling used. In the case for time series modelling, complete series of data is very important to enable for the model construction. This paper aims to highlight a systematic statistical procedure and analysis on how to investigate the performance of several missing values imputation methods to solve for the problem of missing value existence when data are time series. The knowledge could help researchers to implement a comprehensive procedure in deciding a type of imputation method that suits with their data. A case study was conducted using real data set from Shah Alam air quality monitoring station. The results have shown that the missing data at the monitoring station is completely at random (MCAR). Among six imputation methods compared and based on the performance of indicators such as RMSE, MAE, AI and R2 it is shown that imputation using Kalman Filter using ARIMA model is the best appropriate method for the data set.
Testing robustness and disturbance rejection properties of complex automatic flight control algorithms designed for aircraft flying in calm atmospheric conditions, means verifying their behaviour in the actual atmosph...
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The proceedings contain 75 papers. The topics discussed include: information system and website design to support the automotive manufacture ERP system;conceptual design of real time and adaptive measure of mental wor...
The proceedings contain 75 papers. The topics discussed include: information system and website design to support the automotive manufacture ERP system;conceptual design of real time and adaptive measure of mental workload using galvanic skin respond;the application of data mining techniques to create promotion strategy for mobile phone shop;decision support model for selection technologies in processing of palm oil industrial liquid waste;Islamic value to the modification of BSC model (a case study in evaluating company performance);establishment proper of the balanced scorecard indicators to support decision making in a university: a case study in Institut Teknologi Indonesia;mesh control information of windmill designed by Solidwork program;dealing with dissatisfaction in mathematicalmodelling to integrate QFD and Kano's model;warehouses information system design and development;analysis of performance measurement at HR-GR department using the balance scorecard method;characteristic and factors of competitive maritime industry clusters in Indonesia;consumer preference in using the services of bukalapak website with conjoint method;design local exhaust ventilation on sieve machine at *** Nusantara VIII Ciater using design for assembly (DFA) approach with Boothroyd and Dewhurst method;model business intelligence system design of quality products by using data mining in R Bakery company;a study of 6S workplace improvement in ergonomic laboratory;and machinery safety of lathe machine using SHARP-systemic human action reliability procedure: a pilot case study in academic library.
During a music lesson, participants need to co-ordinate both their turns at talk and their turns at playing. Verbal and musical contributions are shaped by their organisation within the turn-taking system. When lesson...
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