introduction: lymphoscintigraphy is imaging of the lymphatic system and has been integrated into the sentinel node mapping procedures. lymphoscintigraphy usually encompasses early or delayed static images. however, immediate dynamic imaging of the lymphatic basins and tumors has also been used as an adjunct lymphoscintigraphy imaging. the aim of this study was to assess the role of early dynami...

objective:more similarity to in vivo medium may help to increase the proliferation and differentiation of cells at in vitro condition. the present study has investigated the effect of a dynamic mediumand nano hydroxyapatite (nha) presence on proliferation and differentiation of mesenchymal stem cells (mscs) to bone cells using electrospun polycaprolactone (pcl) scaffolds. methods: we prepared p...

a nonlocal beam model based on the bernoulli–euler beam theory is presented to investigate the dynamic stability of embedded single-walled carbon nanotubes (swcnts) in thermal environment under combined static and periodic axial loads. the dynamic stability analysis is carried out by including the effects of small-scale parameter, temperature change and elastic medium. the equation of motion is...

asymmetric information in iran’s insurance market: case study for automobile insurance in iran insurance companythis research aims to test the presence of asymmetric information by using the dynamic information of automobile policyholders in the iran insurance company (iic). the conditional independence test is conducted by bivariate probit model, the dynamic properties which are presented for ...

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

‎the purpose of this paper is to offer the equitable method for ranking decision making units(dmus) based on the dynamic data envelopment analysis (ddea) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. in fact, this paper originally makes the use of an approach extending the ranking of dmus in dea by khodabakhsh...

although many scholars have proposed all kinds of key successful factors (ksfs) for erp activity to smoothly enhance the implementation of erp, the ksfs are based too much on concept and protocol cannot help an enterprise to achieve this objective. therefore, this research through qualitative interview method, integrating the ksfs and dynamic capability to set up a model so as to exhibit the ki...

in this paper, we review novel techniques in the emerging field of spatiotemporal 4d pet imaging. we will discuss existing limitations in conventional dynamic pet imaging which involves independent reconstruction of dynamic pet datasets. various approaches that seek to attempt some or all of these limitations are reviewed in this work, including techniques that utilize iterative temporal smooth...