سبد خرید

Crime Facilitation Purposes of Social Networking Sites: A Review and Analysis of the “Cyberbanging” Phenomenon

There have been growing claims in media circles and law-enforcement settings that street gangs and criminal organizations are turning to Internet-based social networking sites for various reasons, ranging from the showcasing of their images and exploits to the suspected recruitment of members. The present study investigates whether such a trend is, in fact, in place. The presence of street gangs on these Internet sites is referred to as cyberbanging. While there is some anecdotal evidence suggesting that gangs are turning to social networking sites, there is little available research on exactly how street gangs and criminal groups use the Internet. The few studies that are available acknowledge the importance of the Internet as a key channel of diffusion for street gang values and general subculture. The presence of social networking sites has been documented, but no signs of proactive recruitment have emerged. Instead, past research has demonstrated that street gangs are primarily using social networking sites for bragging about their exploits and sharing their plights with law-enforcement and criminal justice with a wider, often supportive public.

Analysis of Islamic Bank’s Financing and Economic Growth: Case Study Iran and Indonesia

The purpose of this paper is to examine the short-run and the long-run relationships between Islamic banking development and economic growth in the case of Iran and Indonesia, with this regard we use quarterly data (2000:1-2010:4), this paper utilizes the bound testing approach of cointegration and error correction models, developed within an autoregressive distributed lag (ARDL) framework. Also in this paper addresses some of the issues and challenges that Islamic banking has been facing in Iran. It also seeks to examine modes of Islamic financing and the commitment of commercial banks to implement the Islamic banking law. The results show a significant relationship in short-run and long-run periods between Islamic financial development and economic growth. The relationship appears to be bi-directional relationship. This paper uses empirical evidence to show the role of Islamic banks’ financing towards economic performance of a country.

NONLINEAR CREEP BUCKLING ANALYSIS OF INITIALLY IMPERFECT SHALLOW SPHERICAL SHELLSt

Creep deformations and creep buckling times are obtained foraxisymmetric shallow spherical shells with and without initial imperfections. For nonlinear creeps, both strain-hardening and time-hardening rules are employed in the analysis;results indicate that strain-hardening yields better estimates of shell life than time- hardening. Results also show that the initial imperfection plays an important role in shortening shell creep buckling times. When compared with the experimental data of test specimens which possess very small departures from sphericity, it is observed that, in order to have a satisfactory prediction on both creep buckling times and creep deformations, in addition to fully taking into account the presence of initial imperfections, the analysis should adopt a mathematical creep model which includes not only the primary and the secondary creep but also the tertiary creep.

Asymmetric Threat Modeling Using HMMs: Bernoulli Filtering and Detectability Analysis

There is good reason to model an asymmetric threat (a structured action such as a terrorist attack) as an HMM whose observations are cluttered. Within this context this paper presents two important contributions. The first is a Bernoulli filter that can process cluttered observations and is capable of detecting if there is an HMM present, and if so, estimate the state of the HMM. The second is an analysis of the problem that, for a given HMM model, is able to make statements regarding the minimum complexity that an HMM would need to involve in order that it be detectable with reasonable fidelity, as well as upper bounds on the level of clutter (expected number of false measurements) and probability of miss of a relevant observation. In a simulation study the Bernoulli filter is shown to give good performance provided that the probability of observation is larger than the probability of an irrelevant clutter observation. Further, the results show that the longer the delays are between the HMM state transitions, the larger the probability margin must be. The feasibility prediction shows that it is possible to predict the boundary between poor performance and good performance for the Bernoulli filter, i.e., it is possible to predict when the Bernoulli filter will be useful, and when it will not be.

Analysis of Islamic Bank’s Financing and Economic Growth: Case Study Iran and Indonesia

The purpose of this paper is to examine the short-run and the long-run relationships between Islamic banking development and economic growth in the case of Iran and Indonesia, with this regard we use quarterly data (2000:1-2010:4), this paper utilizes the bound testing approach of cointegration and error correction models, developed within an autoregressive distributed lag (ARDL) framework. Also in this paper addresses some of the issues and challenges that Islamic banking has been facing in Iran. It also seeks to examine modes of Islamic financing and the commitment of commercial banks to implement the Islamic banking law. The results show a significant relationship in short-run and long-run periods between Islamic financial development and economic growth. The relationship appears to be bi-directional relationship. This paper uses empirical evidence to show the role of Islamic banks’ financing towards economic performance of a country.

Maximizing and minimizing investment concentration with constraints of budget and investment risk

In this paper, as a first step in examining the properties of a feasible portfolio subset that is characterized by budget and risk constraints, we assess the maximum and minimum of the investment concentration using replica analysis. To do this, we apply an analytical approach of statistical mechanics. We note that the optimization problem considered in this paper is the dual problem of the portfolio optimization problem discussed in the literature, and we verify that these optimal solutions are also dual. We also present numerical experiments, in which we use the method of steepest descent that is based on Lagrange’s method of undetermined multipliers, and we compare the numerical results to those obtained by replica analysis in order to assess the effectiveness of our proposed approach

Download Inelastic large deflection analysis of structural steel members under cyclic loading

The present paper is concerned with the cyclic inelastic large deflection analysis of structural steel members, such as pin-ended columns and fixed-ended tubular beam-columns of strut type. An elastoplastic finite element formulation for beam-columns, accounting for both the material and geometrical nonlinearities, was developed and implemented in the computer program FEAP used in the analysis. The geometrical nonlinearity is considered using the modified approximate updated Lagrangian description of motion. The two-surface plasticity model, recently developed by the authors, is employed for material nonlinearity. The model accounts for the important cyclic characteristics of structural steel, even within the yield plateau, such as, the decrease and disappearance of the yield plateau, reduction of the elastic range and cyclic strain hardening. The cyclic elastoplastic performance of the formulation was found to be good when compared with the experimental results as well as the results obtained from other material models

Download New Avenues in Opinion Mining and Sentiment Analysis

people often rely on their peers’ past experiences. Until recently, the main sources of information were friends and specialized magazine or websites. Now, the “social web” provides new tools to effciently create and share ideas with everyone connected to the World Wide Web. Forums, blogs, social networks, and content- sharing services help people share useful information. This information is unstructured, however, and because it’s produced for human consumption, it’s not something that’s “machine processable.” Capturing public opinion about social events, political movements, company strategies, marketing campaigns, and product preferences is garnering increasing interest from the scientifc community (for the exciting open challenges), and from the business world (for the remarkable marketing fallouts and for possible fnancial market prediction). The resulting emerging felds are opinion mining and sentiment analysis. Although commonly used interchangeably to denote the same feld of study, opinion mining and sentiment analysis actually focus on polarity detection and emotion recognition, respectively. Because the identification of sentiment is often exploited for detecting polarity, however, the two felds are usually combined under the same umbrella or even used as synonyms. Both felds use data mining and natural language processing (NLP) techniques to discover, retrieve, and distill information and opinions from the World Wide Web’s vast textual information

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