ON THE INVESTIGATION OF WHEEL FLANGE CLIMB DERAILMENT MECHANISM AND METHODS TO CONTROL IT

In this research, investigations are focused on the study of railway vehicle wheel flange climb derailment. A three dimensional nonlinear dynamic model of the wheel-set and suspension system is developed. Having validated the model through field tests, the effect of friction coefficient, wheel-set AOA, vehicle suspension system and running speed on the wheel flange climb derailment are investigated. In addition, different rail lubrication methods are studied and their effects on the wheel flange climb derailment are compared in the case of two point contact for nonlinear wheel-rail profiles. The results are debated and recommendations proposed to improve running safety against derailment

Combining genetic algorithm and Sinc-Galerkin method for solving an inverse diffusion problem

A numerical approach combining the use of a genetic algorithm with the solution of the Sinc-Galerkin method is proposed for the determination of an unknown time-dependent diffusivity a(t) in an inverse diffusion problem (IDP). At the beginning of the numerical algorithm, Sinc-Galerkin method is employed to solve the direct diffusion problem. The present approach is to rearrange the matrix forms of the governing equations. Then, the genetic algorithm is adopted to find the solution of IDP. The genetic algorithm used in this work is not a classical genetic algorithm. Instead, the application of the genetic algorithm to this discrete-time optimal control problem is called a real-valued genetic algorithm(RVGA). Some numerical experiments confirm the utility of this algorithm as the results are in good agreement with the exact data. Results Show that a reasonable estimation can be obtained by combining the genetic algorithm and Sinc-Galerkin method within a CPU with clock speed 2.7 GHz.Publisher's Versio

Inverse Problem for a Parabolic System

In this paper a numerical approach combining the least squares method and a genetic algorithm is proposed for the determination of the source term in an inverse parabolic system (IPS). A numerical experiment confirm the utility of this algorithm as the results are in good agreement with the exact data. Results show that a reasonable estimation can be obtained by the genetic algorithm within a CPU with clock speed 2.7 GHz

Decoupling of Two Closely Located Dipoles by a Single Passive Scatterer for Ultra-High Field MRI

We report decoupling of two closely located resonant dipole antennas dedicated for ultra-high field magnetic resonance imaging (MRI). We show that a scatterer slightly raised over the plane of antennas grants a sufficient decoupling even for antennas separated by very small gap (below 1/30 of the wavelength). We compare the operation of two decoupling scatterers. One of them is a shortcut resonant dipole and another is a split-loop resonator (SLR). Previously, we have shown that the SLR offers a wider operational band than the dipole and the same level of decoupling. However, it was so for an array in free space. The presence of the body phantom drastically changes the decoupling conditions. Moreover, the requirement to minimize the parasitic scattering from the decoupling element into the body makes the decoupling dipole much more advantageous compared to the SLR

deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations

The primary goal of this research is to propose a novel architecture for a deep neural network that can solve fractional differential equations accurately. A Gaussian integration rule and a $L_1$ discretization technique are used in the proposed design. In each equation, a deep neural network is used to approximate the unknown function. Three forms of fractional differential equations have been examined to highlight the method's versatility: a fractional ordinary differential equation, a fractional order integrodifferential equation, and a fractional order partial differential equation. The results show that the proposed architecture solves different forms of fractional differential equations with excellent precision

The Effectiveness of Life Skills Training on Life Satisfaction in Patients with Spinal Cord Injury

Spinal cord injury (SCI) is one of the most debilitating diseases that affects all aspects of person’s life. Researches have indicated that life satisfaction in these patients is lower than that of others. The aim of this study was to investigate the effect of life skills training on life satisfaction in patient with spinal cord injury. This study, having a quasi-experimental design, was performed with pre-test, post-test, and control group. The statistical population of this study consisted of patients with spinal cord injury (only men) that is covered by the home health care team of the Kahrizak Charity Foundation of Tehran. To do research, 30 patients of the center were selected by availability sampling and were randomly divided into experimental and control groups. In the experimental group, 10 sections of life skills training were performed, while no intervention was used for the control group. The research tool used in this study was a Self-Life Satisfaction Questionnaire and a univariate analysis of covariance was used to test results. Findings from the analysis of covariance showed that there was a significant difference between experimental and control groups (p< 0,05). This indicated that life skills training improved the life satisfaction in patients with spinal cord injury

STUDY OF THE ROLE OF BRANDS ON CUSTOMER PURCHASE BEHAVIOR (CPB)

Customer Purchase Behavior (CPB) and the use of a model to predict it are of the most important commercial goals of manufacturing, service and other organizations and of the most important factors in the formation of work and profitability. Thus, this study examined the factors affecting this component - the effect of the role of commercial brands on CPB. For this purpose, 385 people connected with trading and customers in this area (valid brands customers) of Tehran were selected through convenient sampling and completed the questionnaires. The findings indicated that the manufacturer and the intended organization brand credibility is affected by the CPB and its components, including attitude, social norms and purchasing returns, and the firm's or organization reputation is a strong predictor of CPB. Thus, brand names and their credibility play a crucial role in CPB.  Article visualizations

The effect of moisture content, particle size and consolidation stress on flow properties of vermicompost

 Physical properties of granular solids are essential to design appropriate, efficient, and economic bulk solids handling and storage equipment.  Flow of vermicompost is often restricted by caking and bridging, which occurs during transportation and storage.  This problem could be due to a number of factors including storage moisture, temperature, particle size, and consolidation stress.  There is lack of study on the effect of the mention factors simultaneously on flow index, cohesive strength and angle of internal friction of vermicompost.  The aims of this work were to discuss the primary factors affecting flowability of vermicompost as granular solids and powders, as well as using shear testing methodologies for this biomass material.  The experiments were conducted on samples selected from a wormy culture farm, Karaj, Iran, by Jenike’s shear cell technique.  The data was statistically analyzed using the three factors completely randomized design to study the effects of particle size, moisture content and consolidation stress on vermicompost flow properties.  The results showed that a significant difference between the flow index values at different stress levels.  Greater moisture content and smaller particle size caused poor flowability of vermicompost.  Increasing the moisture content and decreasing the particle size from 1.18 to 0.3 mm, the vermicompost reduced its flowability from free flowing at moisture content of 25% (w.b.) to cohesive at moisture content of 35% (w.b.).   Keywords: biomass flowability, flow index, shear test, vermicompost

Cloning and expression of the V-domain of the CD166 in prokaryotic host cell

Purpose: CD166/ALCAM (Activated leukocyte cell adhesion molecule) as an immunoglobulin is implicated in cell migration. It is also involved in tumorigenesis of CRC (colorectal cancer) and known as a cancer stem cell marker. CD166, as a membrane protein, potentially represents either diagnostic or therapeutic capacities for CRC.Methods: In this study, the sequence of V domain was optimized for expression in prokaryotic host using online tools and cloned into pET-28a plasmid. The recombinant pET28a was transformed into the E. coli BL21DE3 using heat shock method and expression of recombinant V domain was examined using SDS-PAGE (sodium dodecyl sulfate polyacrylamide gel electrophoresis).Results: The results confirmed protein expression of recombinant 22.77 kDa V domains in bacterial expression system.Conclusion: V domain of the CD166 was expressed successfully in E. coli bacteria. This recombinant fragment can be introduced as a suitable diagnostic and therapeutic candidate for screening and cancer-therapy of CRC patients, respectively.