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Knowing customer behavior patterns, clustering and assigning them is one of the most important purpose for banks. In this research, the five criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from the bank database during one year, and then clustered using the customer's K-Means algorithm. Then, the multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve it. In order to determine the neighbor optimal solution of the Simulated Anneling algorithm, neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation for optimization. The results of this research were used to develop Business Intelligence software for customers in one of the private banks of Iran.

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Backgrounds: SARS-COV-2 infection is not always correlated with protection. Antibody seroprevalence in unvaccinated individuals, which is usually measured by N-specific antibodies, is not necessarily correlated with protection, while antibodies against S protein show a better correlation with protection due to its neutralizing epitopes. In this study, we tried to improve our conception of the hidden perspective of SARS-COV-2 in epidemiological reports and investigate anti-S antibody prevalence among anti-N antibody-positive asymptomatic and mildly symptomatic patients.
Materials & Methods: Blood samples were collected from asymptomatic or mildly symptomatic volunteer participants and symptomatic hospitalized patients with negative PCR results from May 30 to June 17, 2020. Detection of SARS-COV-2 antibodies was done using an ELISA kit targeting N or S protein.
Findings: Totally, 716 samples from volunteer participants and 81 samples from symptomatic hospitalized patients with negative PCR results were evaluated. The test performance-adjusted seroprevalence (95% CI) of SARS-COV-2 antibody was 17.3% (8.8-25.8%) for anti-N IgG in volunteers and 25.5% (12.8-39.7%) for anti-N and anti-S IgM in hospitalized patients. Among anti-N IgG positive infected individuals, 49.2% (21.4 and 78.8%) were anti-S antibody positive.
Conclusion: The results showed that SARS-COV-2 infection sometimes occurs in individuals without symptoms or with mild symptoms, but in more than half of them, the produced antibody is not protective. The findings of hospitalized patients showed that the combination of IgM assay with real-time PCR improved the disease diagnosis by more than 25% in cases with negative molecular test results.

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Motivated and efficient human resources have a very significant role in increasing the effectiveness of an organization. Knowing the rate of employees’job satisfaction may help the managers to improve human resource productivity. Based on different studies, there are a lot of Factors inFluencing job satisfaction. The rate of influence of each factor is different depending on the size, culture, awarding system, promotional system, kind of production and other environmental factors of an organization. In this research, based on scientific hypotheses and tests, it was tried to obtoin the main determinants of job satisfaction in public sectors. According to a case study in Interior Ministry, it was found out that which factors for the dependent variable of job satisfaction have a predictor role and which of the independient variables such as appraisal system, leadership style, level of income and promotional system has a significant relation with it.

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In the present study, the structure of three common anticancer drugs including 6-thioguanine (6-TG), hydroxyurea (NH) and busulfan were optimized using quantum computational and obtained minimum energy for them. Also, optimization structure of gold nanoparticle was investigated by density functional theory (DFT). Finally, the binding energy of Au nanoparticle was calculated with the optimized structures of drugs. All different sites of drugs that can be interacted with nanoparticle were considered and the most stable structure was chosen for further study. These calculations were performed using FHI-aims which is a software package based on DFT. The bond length and the best interaction energy were reported in this work. To better investigation of the location of the interaction, the type of orbitals involved in the interaction and their shapes are shown. Gap energy analysis showed that the lowest energy was related to the complex of gold nanoparticle with 6-thioguanine, which confirms the chemical stability of this drug with nanoparticle. Investigations showed that the binding energy of gold nanoparticle with drugs is busulfan > hydroxyurea> 6-thioguanine so busulfan has more affinity to bind with gold nanoparticle.
Au nanoparticle as an anticancer drug deliver was studied with the molecular docking calculations. The human albumin serum (HSA) binding with three anticancer drugs was docked individually with Hex 8 software and their active sites of interaction were shown as well as.  Finally, the binding energies and types of interactions such as electrostatic, van der Waals and hydrogen bonds between HSA and Au@ drugs were presented, clearly.

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Objective: The use of bacterial plasmids carrying specific genes of pathogens as genetic vaccines is a relatively new technique for induction of cellular immune responses against microbial pathogens. Mechanisms of production of specific immune responses against these vaccines are not still completely understood. Therefore, it is necessary to examine various routes of inoculation to find the best way of immunization for specific antigens. In this research, intramuscular method of inoculation of influenza vaccine nucleoprotein (NP) encoding vector was compared with that of intra-dermal method. Materials and Methods: In this study, the ability of two different methods of immunization (intramuscular and intra-dermal) in induction of CTL responses as well as their efficiency in clearance of influenza virus from the lung of BALB/c mice was compared. Female BALB/c mice were immunized with influenza virus NP expressing plasmids on days 0, 14 and 28. CTL activity of mice was evaluated by lactate dehydrogenase technique two weeks after the last inoculation. In addition, the mice were challenged by live influenza virus and the viral titer was measured 4 days post-challenge in the lungs of animals. The results of experiments demonstrated that intramuscular immunization of mice induces a stronger CTL response. Mice immunized by intramuscular route also showed a higher ability in virus clearance from the lungs. Conclusion: Results of this study showed that different routes of immunization of influenza NP genetic vaccine induce different levels of cell-mediated immune responses and protection from the live virus.

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Objective: Hepatitis C virus (HCV) is one of the most relevant persistent infections afflicting the human population. Control of viral replication in HCV infection has been associated with the cellular component of the host immune response. Several mechanisms have been proposed to explain this abnormal immune response, among them an altered activity of regulatory T cells (Tregs) being the most recently postulated. As the first report, in the present study the ability of HCV-core antigen in increase the frequency of natural Tregs (nTregs) in the mixed population of PBMCs was evaluated. Materials and Methods: Peripheral blood mononuclear cells (PBMCs) from chronic HCV infected patients (n = 19) and normal controls (n = 6) were analyzed to study the effect of HCV-core antigen in frequency of HCV specific nTregs. For this, PBMCs of different groups were isolated, cultured and stimulated with core antigen. Then an in-house triple-stain flowcytometric method was used to investigate the frequency of nTregs. Results: The results showed that, following incubation with HCV-core Ag, a population of nTregs was increased but, in negative controls the number of nTregs did not increase. Conclusion: The present data supporting the idea that nTregs are able to respond specifically to HCV antigen suggests that Tregs could contribute to an inadequate response against the HCV infection, leading to chronic infection and supports the view that specific natural Tregs may be implicated in host immune tolerance during HCV infection. It is reasonable that HCV vaccine candidates avoid epitopes that lead to strong nTregs stimulation.

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A modified measure for the parallel cable driven robots is presented in this paper. These robots have additional advantages compared to other robots and even the parallel structures, but they are readily exposed to disturbances. The presence of external wrench (Force-Moment) may be the cause of violation against the motion constraint. The stability measure proposes a number between zero and one that could be the criterion for the evaluation of the robot's ability while returning to its original equilibrium which was influenced by external disturbances. To offer a stability measure, Gibbs-Appell equations and acceleration energy are used. Robot kinematic and dynamic modeling based on Newton-Euler’s method calculates the measure. To illustrate the capabilities of the proposed measure, a 6 DOF cable robot with six cables is simulated. The results of the two simulations are presented and analyzed. The stability measure is depended to kinematic parameters and also to kinetics parameters as cables tension at the beginning of motion. Therefore using the proposed measure one can better evaluate the stability within the wider range of parallel cable robots.

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Objective: Infection with herpes simplex virus type 1 induces viral latency in neuron trigeminal ganglions. The late associated transcript (LAT) is uniquely expressed in infected neural cells, however no coding protein associated with these transcripts has been identified in infected cells. It has been shown that six microRNAs transcribed from LAT have the capabilities to affect the cell signaling pathways, thus interfering in pathways such as those of cell differentiation and proliferation. Transforming growth factor beta (TGF-β) pathway is a critical pathway among cell signaling circuits. The Smad4 protein, as an important member of the TGF-β signaling pathway, mediates the connection between membrane receptors, cytoplasmic kinases, and nuclear transcription factors. Methods: This study bioinformatically and experimentally evaluated LAT microRNA expression and assessed microRNA targeting of Smad4 transcripts in human neuroblastoma cells by using real-time PCR. Results: Analysis of two different softwares results showed that the Smad4 gene was targeted by LAT-derived microRNAs at multiple sites. Over-expression of LAT microRNAs in BE2(c) cells caused reduction in Smad4 transcripts. Conclusion: The results of bioinformatical analysis with relative quantification of Smad4 transcripts and its downstream-related genes such as cyclinD, CDK2, and Myc showed that the LAT transcript could control Smad4 expression.

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Tensegrities are a kind of spatial structural system composed of cable (in tension) and strut (in compression). Stability of this system is provided by the self stress state between tensioned and compressed elements. In this paper, co-rotational method is used for study geometrical nonlinear analysis of tensegrity structure and analysis of the effect of pre-stress on it. This approach unlike other available approach in nonlinear static analysis, the major part of geometric non-linearity is treated by a co-rotational filter. The function of CR formulation is to extract relevant deformation quantities free or almost free from any rigid body motion in a given displacement field. One of advantage of the co-rotational approach is the fact that linear models can be easily used in the local coordinate system for modeling of nonlinear problems. The geometric non-linearity is incorporated in the transformation matrices relating local and global internal force vectors and tangent stiffness matrices. Three different numerical examples are studied using this approach. Results demonstrate that the deformations of tensegrity system are dependent on the value of pre-stress in tensegrity systems. The displacements of tensegrity system are decreased for fixed external tensile loading and increasing pre-tension force, however, for fixed pre-tension force and increasing external loading the displacements of tensegrity system are increased.

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In this paper, a cable actuated robot is introduced as a new rehabilitation approach. The quality improvement of human and machine interface has led to create a new device in this area. The interface between the robots with the physical characteristics of body can improve the interaction forces and the patient safety. Considering the joint compliance during the motion range can make the patient feel better and thus, bring success for the rehabilitation program. The key element "cable" makes the possibility of force transmission in this mechanism. Cable actuator is used in this project in order to achieve to maximum adaptation with elbow operation Moreover in the design of rehabilitation device, some advantages are regarded like the low-cost and light weight, smooth joint motion with adjustable stiffness, motor size reduction. The dynamic parameters related to the elbow behavior are described with amplitude and frequency investigating. The performance of the elbow rehabilitation device is examined. Stiffness variation of robot joint is effectively compatible with the elbow joint stiffness according to rehabilitation protocols. As the presented mechanism able to simulate elbow rehabilitation, it can be used more widely in the field of medical robotics.

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This paper focuses on a class of continuum robot manipulators that uses cables for actuation. In order to realize more natural and various motions like human musculoskeletal, tendon-driven manipulators is studied. It is challenging to design the manipulator structure which consists of bones and redundant muscles. A comprehensive study is presented including the theoretical analysis of the mechanical design, kinematics, dynamics and tracking control of a planar continuum backbone robot. Lagrange's equation is applied to the dynamic problem and the system is controlled by a computed torque/time delay approach. This paper explores the fundamental limitations of dynamic problem for different loading conditions and the behavior is formulated based on the motion constraints. For example, the cable forces are computed considering the yield stress. Moreover the effects of cable configuration are examined by comparing the model performance. Meanwhile, the geometrical parameters have an important effect on manipulation. The analysis is applied on two main robot structures considering geometrically constrained deformable continuum body. The simulation results illustrate the efficiency of the proposed design and controller. Nevertheless, the field of continuum and hyper-redundant manipulation holds great promise also in the experimental domains.

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In this paper, a new formulation is developed for nonlinear dynamic analysis of 2-D truss structures. This formulation is based on dynamics of co-rotational 2-D truss. The idea of co-rotational approach is to separate rigid body motions from pure deformations at the local element level. Using this approach, internal force vector and tangent stiffness matrix, inertia force vector and the tangent dynamic matrix are derived. Furthermore, the inertia force vector, tangent dynamic matrix, mass matrix and gyroscopic matrix are directly derived from the derivation of current orientation matrix with respect to global displacements or orientation matrixes. Using this new formulation, nonlinear response of any 2-D truss structures can be examined. Here, for example the response of tensegrity structures under dynamic loads are investigated. Tensegrity structures are a class of structural system composed of cable (in tension) and strut (in compression) components with reticulated connections, and assembled in a self-balanced fashion. These structures have nonlinear behaviour due to pre-stress forces. And their integrity is based on a balance between compression and tension. Two numerical examples are presented to illustrate the new formulation and results show that the new formulation has more convergence rate than the existing models.

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In this study, it has been tried to provide a new model for the structure of a backbone arm, to repel the shortcoming in the generation and transmission of the motion for the continuum robots. Backbone arms such as natural structures include continuum backbones with superior properties such as the ability to adapt to the environment. The actuation power is distributed over the robot’s length and makes the shape continuously deformable. In this paper, it has been suggested to add a linkage between the backbones and the branched tendons for power transfer between the drive and backbones. The ratio of the drive torque to backbone torque is introduced as the transfer ratio. The new design is capable to create a variety of transfer ration during a cycle of motion. The state space equations are extracted by Lagrange equations. Dealing the interference of bone-bone and bone-links as geometric constraints are applied to the design and it determines the allowable range of the continuum robot's geometric parameters. This design is examined with planar simulations. To show the effectiveness of the proposed design, several simulation results are illustrated. Optimum geometrical parameters for the constant torque ratio are calculated.In contrast to previous cases with the widely used; the goal is achieved with this novel backbone continuum robot.

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Tensegrity is a kind of spatial structural system composed of cable (in tension) and strut (in compression). Stability is provided by the self-stress state between tensioned and compressed elements. When this structure is subjected to external dynamic loading, it may become unstable due to low structural damping. In this study, the proportional damping is considered and dynamical equations of the tensegrity structure are derived based on the equilibrium configuration. In addition the mass of cable element is taken into account. In general, linearized dynamic model provides a good approximation for analyzing the nonlinear behavior of tensegrity structures around an equilibrium configuration. So, state space method is implemented to obtain the dynamic response of the tensegrity system. Two different tensegrity structures are numerically evaluated using this approach in order to show its efficiency. Results reveal how the dynamic analysis of a tensegrity structure is essential. When resonance occurs, the compressive and in-tension members of a tensegrity system may dynamically buckle and slack respectively. In addition, the results show that the computational time to evaluate a tensegrity structure using the state space method is shorter than that of Newmark algorithm.

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In this paper, a hybrid model which consists of planar parallel robot with a 2-DOF arm is presented. This manipulator is based on cable parallel robots and a kinematic serial chain is utilized and added to a cable parallel chain. The hybrid manipulator can provide features of both serial and parallel mechanism. Understanding the orientability of the end-effector within this workspace gives a measure of the ability of the robot to perform manipulation tasks. Most underactuated parallel manipulators have a low rotational capability. To overcome it, this paper focuses its attention on a new family of serial-parallel manipulators. The initial goal of this design is to increase the orientability capability of a planar two-cable robot. The kinematic and dynamic analysis of this new type hybrid manipulator is presented. The dynamic modeling is performed by using a combination of Lagrange and Newton-Euler methods. This paper conducts the dynamic trajectory planning study to a novel design for the cable robots. In fact, time optimal trajectory planning is a strategy that is used to verify this new design. Two models are considered in the simulation part. A novel hybrid model is compared to a planar parallel cable robot. It is verified that the proposed design allows significantly reduced actuation energy and improved orientability capability compared to the parallel robot.

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In this paper, dynamics and control of a Tendon-based continuum robot is investigated. The curvature is assumed that constant in each section of continuum robot. Kinematic equation is established on the basis of the Euler-Bernoulli beam. The dynamic model of the continuum robot is derived by using Lagrange method. In this paper, robot control is performed in two parts: firstly, Dynamic model is assumed to be known and position and velocity tracking control has been by using the feedback linearization method, But uncertainties in the dynamic model, are constantly challenged the control of continuum robots. For unknown parametric quantities such as mass coefficients, one way is simply substitutes a fixed estimate for the unknown parametric quantities. In this case tracking error is not equal to zero but it’s bounded. For many applications, we cannot assume that tracking error vector is not equal to zero. In such cases we use adaptive controller. In this paper the total mass of the primary backbone and secondary backbone are uncertain parameters, therefore, a new adaptive controller is presented to estimate those uncertainties while cause to asymptotically stable for tracking error. Simulation results show good performance in velocity and position tracking.

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Performance increasing of robot-aided training in stroke elbow rehabilitation is the goal of this paper. Therapist holds on the arm of patient and guides the center of mass along a desired trajectory. In robotic rehabilitation, when the arm of patient rotate within the desired boundaries, (s)he should ideally not feel the robot. The robot needs to actively compensate for the weight of the exoskeleton and reflected mass of the motors. A nonlinear torsion spring can be used and also a counter-torque as a function of arm angle is applied by the motor. Applying the springs affords more convenience, it allows smaller motors to be used, the size of required brakes can be reduced and inherent safety is introduced in rehabilitation robots. Furthermore, the robust controller design can be used to compensator the modeling errors and gravitational force. A novel elbow rehabilitation robot is designed based on the cable actuation. The strategy is not just anti-gravitational forces because there should be joint-stiffness control. The uncertainty in the patients arm dynamic is effectively approximated. The motion of closed-loop control system in the presence of parametric uncertainties is investigated. The sliding mode controller with proportional-derivative controller is compared through computer simulation and improvement is observed.

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Objective: Infectious microorganisms are major sources of illness and death worldwide, and the leading cause of death in neonates. Effective vaccination of this age group is of particular importance. The lack of a response and greater susceptibility to tolerance are two major features that limit the effectiveness of vaccines in neonates. In this study we compare the cellular immune response generated following antigen injections at different times of life in newborn mice to that of adult mice. Methods: Adult and different age neonate mice were vaccinated with vesicular stomatitis virus (VSV). One week after the last injection, cellular immunity was assayed on spleen cells that targeted EL4 infected cells using lactate dehydrogenase cytotoxicity assay. Results: Antigen injection induced a decreased immune response in newborn mice compared with mice that had been immunized with subsequent injections.  In the adult group, due to the evolution of the immune system, we observed a stronger immune response. Conclusion: Immunization of newborn mice may induce a reduced response when compared to adult vaccinations. However this can be corrected by the administration of additional booster doses.

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In modern business environments, agility is advocated as the fundamental characteristics for competitiveness. Little research, however, exists which provides integrated methodologies suitable to be practically adopted to enhance agility of companies. In this research, we utilized an original approach, which, by linking competitive bases, agile attributes and agile enablers, aims at identifying the most appropriate enablers to be effective for increasing company´s agility. The approach is based on the quality function deployment (QFD) methodology, and, in particular, on the house of quality (HOQ), which has been successfully adopted in the new product development field. The whole scaffold exploits fuzzy logic, to translate linguistics judgements required for relationships and correlations matrixes into numerical values. In point, this approach applied in Auto Part industry (case study: Bahman Khodro Group) and identified suitablt enablers in this industry. Supply chain management in this industry was recognized as the most important enabler . knowledge management, information technology, concurrent engineering, team building, project management, hardware, and were then placed in the ranks. The main limitations of this research can be time consuming due to the calculation of the QFD cited. In this study, due to better express dependencies and Correlations at HOQ fuzzy numbers were used to describe the relationship accurately.

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The purpose of this research is to identify factors and components that affect a trust-based cooperation in the automobile supply chain and their impact on the performance of the supply chain companies. This paper includes 2 parts. In the first part, by studying the research history and literature and interviewing academic and industrial scholars and experts, four hidden variables of trust-based cooperation in automobile industry were identified and the basic research model was designed. In the second part, using Structural Equation verification and path analysis, the impact of these variables on trust-based cooperation and the impact of trust-based cooperation on the performance of the supply chain companies were studied. Research population consisted of Iran-Khodro and Saipa’s supply chain companies including part makers, major car manufacturers and distributors. Data gathering method was questionnaires that were given to 400 companies –one questionnaire per company- 196 of which were returned and analyzed. In this phase, first, by confirmatory factor analysis and path analysis, validity and stability of the indexes that were derived from the model in the first phase, were tested, all of which were confirmed. Four hypotheses were developed based on the conceptual model of the research and tested by path analysis. According to the findings, 3 of the hypotheses were confirmed and one was rejected. Based on the results of the research, some suggestions were presented for improving the performance of companies in the automobile supply chain and for future researches.
 
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