Analytical models

Over the years, most of the firms have focused their attention to the effectiveness and efficiency of separate business functions. As a new way of doing business, however, a growing number of firms have begun to realize the strategic importance of planning, controlling, and designing a supply chain as a whole. In an effort to help firms capture the synergy of inter-functional and inter-organizational integration and coordination across the supply chain and to subsequently make better supply chain decisions, this paper synthesizes past supply chain modeling efforts and identifies key challenges and opportunities associated with supply chain modeling. We also provide various guidelines for the successful development and implementation of supply chain models.

In this paper, we analyze the accuracy of indoor localization measurement based on a wireless sensor network. The position estimation procedure is based on the received-signal-strength measurements collected in a real indoor environment. Two different classes of low-computational-effort algorithms based on the centroid concept are considered, i.e., the weighted centroid localization method and the relative-span exponential weighted localization method. In particular, different sources of measurement uncertainty are analyzed by means of theoretical simulations and experimental results.

Background: The cardiac regenerative potential of newly developed therapies is traditionally evaluated in rodent models of surgically induced myocardial ischemia. A generally accepted key parameter for determining the success of the applied therapy is the infarct size. Although regarded as a gold standard method for infarct size estimation in heart ischemia, histological planimetry is time-consuming and highly variable amongst studies. The purpose of this work is to contribute towards the standardization and simplification of infarct size assessment by providing free access to a novel semi-automated software tool. The acronym MIQuant was attributed to this application.  PLoS ONE 6(9): e25045. doi:10.1371/journal.pone.0025045

This  study  aims  at  evaluating  and  modeling  the  cyclic behavior  of  panel  zone  in  Special  Moment Resisting  Frame  (SMRF),  according  to  their  connection  type,  such  as welded  unreinforced  flange-bolted  web (WUF-B) connections, cover plate connection, one sided haunch and double sided haunches. In this research, some test specimens of experimental works conducted by SAC joint venture (report) were used to investigate the behavior of PZ.  In  the analytical models of  this  study, all component of connection  including bolts, and weld are modeled
using  a  surface  contact  for  shear  tab  and  bolt  and  shank,  to  evaluate  the  connection  behavior  precisely.  Then analytical  response of  the model  including cyclic behavior of beams and PZ obtained  from analytical models and experimental models were used for training of Neural Network (N.N). Then new analytical data generated by Neural Network (N.N.) used for empirical modeling of PZ according to their corresponding connection types. The results of this study showed  that  the panel zone seismic behavior depends on  the  type of connections, and plastic and elastic shears strain values of panel zone changes regarding type of connections and the proposed model presented in  this research predicts the panel zone seismic behavior accurately.

An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of low-loss resonant structures like high quality filters the time-domain computation of impulse responses can become very time consuming due to the typically long duration response. System identification methods can be used to reduce the necessary computation time considerably through estimation of the transfer function's pole positions from a much shorter observation window than it would be required for classical discrete Fourier transform.

The author analyses classification of the methods for evaluation of an enterprise's innovative potential. According to the author, the most effective model taking into account the uncertainty factor is the model based on the theory of fuzzy sets. The model has obvious advantages in comparison with the expert and statistical methods of evaluation, since it allows us to minimize the evaluation errors.
The scientific-practical value of the results consists in a possibility of their application in a combination with the analysis of the official statistical data in the course of perfection of the state scientific and technical and innovative policy in the direction of a more intensive use of the scientific knowledge and achievements in the interests of modernization of the economy of Azerbaijan.
The proposed approach can ensure an information integration of the economic zone of the scientific organizations and be used for a complex research of the industrial, innovative and economic-administrative processes within the framework of development of science.

Background: The cardiac regenerative potential of newly developed therapies is traditionally evaluated in rodent models of surgically induced myocardial ischemia. A generally accepted key parameter for determining the success of the applied therapy is the infarct size. Although regarded as a gold standard method for infarct size estimation in heart ischemia, histological planimetry is time-consuming and highly variable amongst studies. The purpose of this work is to contribute towards the standardization and simplification of infarct size assessment by providing free access to a novel semiautomated software tool. The acronym MIQuant was attributed to this application. Methodology/Principal Findings: Mice were subject to permanent coronary artery ligation and the size of chronic infarcts was estimated by area and midline-length methods using manual planimetry and with MIQuant. Repeatability and reproducibility of MIQuant scores were verified. The validation showed high correlation (r...

ABSTRACT An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of low-loss resonant structures like high quality filters the time-domain computation of impulse responses can become very time consuming due to the typically long duration response. System identification methods can be used to reduce the necessary computation time considerably through estimation of the transfer function's pole positions from a much shorter observation window than it would be required for classical discrete Fourier transform.

User satisfaction is an important aspect to consider in any public transport system, and as such, regular and sound measurements of its levels are fundamental. However, typical evaluation schemes involve costly and time-consuming surveys. As a consequence, their frequency is not enough to properly and timely characterize the satisfaction of the users. In this work, we propose a methodology, based on Twitter data, to capture the satisfaction of a large mass of users of public transport, allowing us to improve the characterization and location of their satisfaction level. We analyzed a massive volume of tweets referring to the public transport system in Santiago, Chile (Transantiago) using text mining techniques, such as sentiment analysis and topic modeling, in order to capture and group bus users’ expressions. Results show that, although the level of detail and variety of answers obtained from surveys are higher than the ones obtained by our method, the amount of bus stops and bus services covered by the proposed scheme is larger. Moreover, the proposed methodology can be effectively used to diagnose problems in a timely manner, as it is able to identify and locate trends, and issues related to bus operating firms, whereas surveys tend to produce average answers. Based on the consistency and logic of the results, we argue that the proposed methodology can be used as a valuable complement to surveys, as both present different, but compatible characteristics.