AN ANALYSIS OF THE CAUSES OF MARKET DEMAND IN THE IRANIAN VOLLEYBALL SUPER LEAGUE, OF THE AUDIENCE AND EXPERTS IN SPORTS MANAGEMENT

The purpose of this study was to analyse the causes of market demand in the Iranian Volleyball Super League, of the audience and experts in sports management. The study, in terms of how to collect data was a descriptive survey done in terms of purpose that field. The sample consisted of Premier League crowd of 340 is volleyball and sports management experts. To collect data a standard questionnaire Bion and colleagues (2010) was used. The questionnaire comprised 17 questions on a Likert scale of five components market demand. For data analysis was used LISREL, a structural equation modelling software. The results showed that, in order to promote factors, the opposing team, economic considerations, planning and other team in the Premier League volleyball are the most important factors of demand. It is suggested planners and organizers policies and actions based on the priorities set, to see the audience's presence increasing in our Volleyball League.  Article visualizations

IDENTIFYING PRIORITIZATION AND COMPARING THE FACTORS OF CREATING DEMAND IN THE PREMIER LEAGUE OF VOLLEYBALL

The aim of this study is to identify Prioritization and compare the factors of creating demand in the Premier League volleyball. The study, in terms of how data were collected, was a descriptive survey. The sample consisted on 340 members of Premier League of volleyball and sports management experts. To collect data from field, a standard questionnaire Bion and colleagues (2010) was used, questionnaire with 17 questions on a Likert scale of five components that measures market demand. For data analysis, descriptive and inferential statistics (Kolmogorov-Smirnov test, Friedman test and independent t-test) with the help of software SPSS (version 18) was used. The results showed that, in order to promote factors, the opposing team, economic considerations, planning and other team are the most important factors of demand in the Premier League volleyball. It is recommended a planning of organizing policies and an adjustment of their actions based on the Prioritization of volleyball using marketing efforts of qualified personnel or consultants in order to see a growing presence of spectators in the Premier League Volleyball.  Article visualizations

Serum ferritin levels and irregular use of iron chelators predict liver iron load in patients with major beta thalassemia: a cross-sectional study

Aim To determine whether serum ferritin, liver transaminases, and regularity and type of iron chelation protocol can be used to predict liver iron load as assessed by T2* magnetic resonance imaging (MRI) in patients with beta thalassemia major (TM). Methods This cross-sectional study, conducted from March 1, 2014 to March 1, 2015, involved 90 patients with beta TM on regular packed red blood cell transfusion. Liver and cardiac iron load were evaluated with T2* MRI. Compliance with iron-chelating agents, deferoxamine or deferasirox, and regularity of their use, as well as serum ferritin and liver transaminase levels were assessed.Results Patients with high serum ferritin were 2.068 times (95% confidence interval 1.26-3.37) more likely to have higher liver or cardiac iron load. High serum aspartate aminotransferases and irregular use of iron chelating agents, but not their type, predicted higher cardiac iron load. In a multiple regression model, serum ferritin level was the only significant predictor of liver and myocardial iron load. Conclusions Higher serum ferritin strongly predicted the severity of cardiac and liver iron load. Irregular use of chelator drugs was associated with a higher risk of cardiac and liver iron load, regardless of the type of chelating agent

DL-Reg:A Deep Learning Regularization Technique using Linear Regression

Regularization plays a vital role in the context of deep learning by preventing deep neural networks from the danger of overfitting. This paper proposes a novel deep learning regularization method named as DL-Reg, which carefully reduces the nonlinearity of deep networks to a certain extent by explicitly enforcing the network to behave as much linear as possible. The key idea is to add a linear constraint to the objective function of the deep neural networks, which is simply the error of a linear mapping from the inputs to the outputs of the model. More precisely, the proposed DL-Reg carefully forces the network to behave in a linear manner. This linear constraint, which is further adjusted by a regularization factor, prevents the network from the risk of overfitting. The performance of DL-Reg is evaluated by training state-of-the-art deep network models on several benchmark datasets. The experimental results show that the proposed regularization method: 1) gives major improvements over the existing regularization techniques, and 2) significantly improves the performance of deep neural networks, especially in the case of small-sized training datasets

On the Calculation of Time-Domain Impulse-Response of Systems from Band-Limited Scattering-Parameters using Wavelet Transform

In the aspect of electric-ship grounding, the time-domain behavior of the ship hull is needed. The grounding scheme impacts the nature of voltage transients during switching events and faults, identifiability and locatability of ground faults, fault current levels, and power quality. Due to the large size of ships compared with the wavelengths of the desired signals, time-domain measurement or simulation is a time-consuming process. Therefore, it is preferred that the behavior be studied in the frequency-domain. In the frequency-domain one can break down the whole ship hull into small blocks and find the frequency behavior of each block (scattering parameters) in a short time and then connect these blocks and find the whole ship hull scattering parameters. Then these scattering pa- rameters should be transferred to the time-domain. The problem with this process is that the measured frequency-domain data (or the simulated data) is band-limited so, while calculating time-domain solutions, due to missing DC and low frequency content the time-domain response encounters causality, passivity and time-delay problems. Despite availability of several software and simulation packets that convert frequency-domain information to time-domain, all are known to suffer from the above mentioned problems. This dissertation provides a solution for computing the Time-Domain Impulse-Response for a system by using its measured or simulated scattering parameters. In this regard, a novel wavelet computational approach is introduced

The Relationship between Loneliness and High-risk Behaviors among Adolescents of Bojnourd

Background: High-risk behaviors are increasing among adolescents, and consequently, risk and preventive factors have been highlighted and investigated. The aim of this study was to investigate the relationship between loneliness as a risk factor and high-risk behaviors among adolescents of Bojnourd, Iran. Methods: In this cross-sectional study, 455 adolescents (aged 15-19 years) were selected based on the age and gender by using quota sampling method. Data were collected by using demographics checklist, high-risk behaviors checklist, and the SELSA-S loneliness Questionnaire. Finally, data were analyzed using descriptive and inferential statistics like t-test, ANOVA, and Pearson’s correlation coefficient. Results: The results show that there was a significant and direct relationship between the feeling of loneliness and high-risk behaviors (r=0.147, P=0.002). In addition, there was a significant and direct relationship between the feeling of loneliness and violence (r= 0.148, P= 0.002), suicide (r=0.278, P< 0.001), and drug abuse (r= 0.124, P= 0.008). High-risk behaviors was more common among male rather than female (P= 0.005). Conclusion: This study show that there is a relationship between the feeling of loneliness especially loneliness in families and high-risk behaviors. Therefore, prevention programs for improving the relationships and interactions in families, can be very effective in preventing high-risk behaviors among adolescents

The efficacy of recombinant versus urinary HCG in ART outcome

Background: Human chorionic gonadotropin (HCG) has been used as a replacement for the mid-cycle luteinizing hormone (LH) surge for several years. The recent arrival of recombinant DNA technology has made recombinant HCG (rHCG) accessible. Objective: To assess efficacy of rHCG compared to urinary HCG (uHCG) for triggering of ovulation and induction of final oocyte maturation in assisted reproductive cycles. Materials and Methods: 200 patients who were candidate for ICSI were randomly divided in two groups. In group I (rHCG), patients received 250μg of rHCG for final oocyte maturation, and in group II (uHCG) the patients received 10000 IU of uHCG. Measured outcomes were number of retrieved oocyte and mature oocyte, maturation rate of oocyte, fertilization rate and clinical pregnancy rate. Results: The rates of oocyte maturity were similar in both groups. Fertilization rate was similar in two groups (58.58% in rHCG group versus 60.58% in uHCG group p=0.666). The clinical pregnancy rate per cycle was similar in both group 34.0% in rHCG group versus 39% in uHCG group (p=0.310). Conclusion: We demonstrated that rHCG is as effective as uHCG, when it is used for final oocyte maturation in ICSI cycles. The numbers of retrieved oocyte and maturation rates were similar in both groups; also fertilization and clinical pregnancy rates were similar

The Inefficacy of Termination and Nullification of the Main Contract on Contractual Stipulations as a Consequence of the Principle of Autonomy of Arbitration Agreement from the Main Contract

One of the most important results and effects of the principle of autonomy of arbitration agreement from the main  contract is the inefficacy of termination and nullification of the main contract. It might be stated that with the termination or nullification of the main contract, the arbitration agreement, either as an arbitration condition in the terms of the main contract or as a separate agreement which is nonetheless related to the main contract, would not be localized in any instance, and thus it cannot be considered as an independent legal institution. The nullification of the terms based on the termination of main contract is justified by the principle implying the compliance of terms with the main contract, yet this rule is not universal. In some instances, based on the rule of autonomy and also the tacit agreement of parties, and considering the deviation of objectives in terms and the main contract, the principle may not be implied. By this argument, not only the acceptance of the doctrine of the autonomy of arbitration from the main contract becomes legitimate in our law, but it can also be argued that one of the most important consequences here is the autonomy of inefficacy of main contract on the arbitration agreement in Iranian law. Keywords: Rule of Compliance of Condition, Principle of Autonomy of Condition, inefficacy of termination of contract on arbitration claus

Integrating Electrical Machines and Antennas via Scalar and Vector Magnetic Potentials; an Approach for Enhancing Undergraduate EM Education

This Innovative Practice Work In Progress paper presents an approach for enhancing undergraduate Electromagnetic education

Quantifying Learning and Competition among Crowdfunding Projects: Metrics and a Predictive Model

The performance of a crowdfunding project is highly situational-dependent. In this study, we quantify the interactions between crowdfunding projects in order to understand how these interactions can help predict the performance of crowdfunding campaigns. Specifically, we utilize Natural Language Processing (NLP) techniques to create a semi-automated system to label the associated product for each crowdfunding campaign. We also propose three sets of metrics to measure how crowdfunding projects learn from and compete with each other. Finally, we propose a machine learning model and demonstrate that the proposed metrics and the proposed model outperform other combinations when predicting the performance of crowdfunding projects