To Control or Be Controlled: Predicting Types of Offending in a Corporate Environment Using Control-Balance Theory

Introduction: This study seeks to determine the extent to which Tittle’s control balance (CB) theory (CBT: 1995) accurately predicts different types of deviance within a corporate setting (in this case, a financial services corporation). CB theory contends that deviance is the result of a control imbalance between the amount of control a person exerts and the amount to which they are subject. Control deficits result in repressive deviance (including most types of predatory crime). Control surpluses result in autonomous deviance (including many types of white collar offending). Method: We exploit a unique dataset consisting of the internal investigations of fraud conducted by a large United States-based financial services company to explore these concepts in the corporate sales environment. Results: Consistent with the theory, we find that a control surplus predicts certain autonomous deviance while a control deficit explained some repressive forms of criminality. Results also indicate that a control imbalance is incremental in nature and not simply a balanced/non-balanced condition. Further discussion revolves around implications, limitations, and future research

Effects of Preference for Attachment to Low-degree Nodes on the Degree Distributions of a Growing Directed Network and a Simple Food-Web Model

We study the growth of a directed network, in which the growth is constrained by the cost of adding links to the existing nodes. We propose a new preferential-attachment scheme, in which a new node attaches to an existing node i with probability proportional to 1/k_i, where k_i is the number of outgoing links at i. We calculate the degree distribution for the outgoing links in the asymptotic regime (t->infinity), both analytically and by Monte Carlo simulations. The distribution decays like k c^k/Gamma(k) for large k, where c is a constant. We investigate the effect of this preferential-attachment scheme, by comparing the results to an equivalent growth model with a degree-independent probability of attachment, which gives an exponential outdegree distribution. Also, we relate this mechanism to simple food-web models by implementing it in the cascade model. We show that the low-degree preferential-attachment mechanism breaks the symmetry between in- and outdegree distributions in the cascade model. It also causes a faster decay in the tails of the outdegree distributions for both our network growth model and the cascade model.Comment: 10 pages, 7 figures. A new figure added. Minor modifications made in the tex

Compressible Distributions for High-dimensional Statistics

We develop a principled way of identifying probability distributions whose independent and identically distributed (iid) realizations are compressible, i.e., can be well-approximated as sparse. We focus on Gaussian random underdetermined linear regression (GULR) problems, where compressibility is known to ensure the success of estimators exploiting sparse regularization. We prove that many distributions revolving around maximum a posteriori (MAP) interpretation of sparse regularized estimators are in fact incompressible, in the limit of large problem sizes. A highlight is the Laplace distribution and $\ell^{1}$ regularized estimators such as the Lasso and Basis Pursuit denoising. To establish this result, we identify non-trivial undersampling regions in GULR where the simple least squares solution almost surely outperforms an oracle sparse solution, when the data is generated from the Laplace distribution. We provide simple rules of thumb to characterize classes of compressible (respectively incompressible) distributions based on their second and fourth moments. Generalized Gaussians and generalized Pareto distributions serve as running examples for concreteness.Comment: Was previously entitled "Compressible priors for high-dimensional statistics"; IEEE Transactions on Information Theory (2012

Texture based characterization of sub-skin features by specified laser speckle effects at λ=650nm region

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Objective: The textural structure of “skin age” related sub-skin components enables us to identify and analyse their unique characteristics, thus making substantial progress towards establishing an accurate skin age model. Methods: This is achieved by a two stage process. First by the application of textural analysis using laser speckle imaging, which is sensitive to textural effects within the λ=650 nm spectral band region. In the second stage a Bayesian inference method is used to select attributes from which a predictive model is built. Results: This technique enables us to contrast different skin age models, such as the laser-speckle effect against the more widely used normal light (LED) imaging method, whereby it is shown that our laser speckle based technique yields better results. Conclusion: The method introduced here is non-invasive, low-cost and capable of operating in real-time; having the potential to compete against high-cost instrumentation such as confocal microscopy or similar imaging devices used for skin age identification purposes

VACCINATION PRACTICES OF ADULT FAMILIAL MEDITERRANEAN FEVER PATIENTS IN TURKEY.

[Abstract Not Available

SILICA NANOPARTICLE FORMATION BY USING DROPLET-BASED MICROREACTOR

This paper describes a method for the synthesis of silica nanoparticles that can be later used for coating of quantum dots inside a microfluidic reactor. Here, a droplet-based system is used where two reagents were mixed inside the droplets to obtain silica. Particles in the size range of 25 +/- 2.7 nm were obtained with comparable size distribution to controlled batch wise synthesis methods. This method is suitable to be used later to coat CdSe nanoparticles inside the microreactor

Communication Competences of Professional Tour Guides

Effective communication is one of the many skills professional tour guides needs to possess to effectively perform their job. These communication competences can lead to varied levels of standard of living among the tour guides. The purpose of this paper is to understand the extent to which communication competences and personality types influence tour guides’ performance as measured by a variety of quality of life indicators including the number of tours assigned to them, income, networking, and friendships. Communication Competence and International Personality Item Pool (IPIP) were used to explain the relationship. Data were collected from 326 tour guides who completed the questionnaire during a yearly workshop/seminars series organized by the Chamber of Antalya Tour Guides in Antalya, Turkey and the Ministry of Tourism. Factor analysis delineate underline domains of communication competences, regression is used to determine their effects on tour guides’ self-declared performance. Theoretical and practical implications are discussed within the theory of Behavioral Communication Competence and Big Five Personality Traits

Urodynamic assessment of short-term effects of pelvic radiotherapy on bladder function in patients with gynecologic cancers

Objectives: To determine the short-term effects of adjuvant or primary curative radiotherapy (RT) on the urinary system in women with gynecologic cancer. Material and methods: This is a prospective, concurrent cohort study including 55 patients with gynecologic cancer who were divided into three groups. Group 1 included 10 patients who were administered adjuvant RT following a radical hysterectomy (RH); Group 2 included 36 patients who were administered adjuvant RT following a type 1 hysterectomy and Group 3 included 9 patients who were administered primary curative RT. Urogynecologic assessments were carried out on patients before and six months after the treatment. Results: Compared to pretreatment, no significant differences were observed in any of the three groups after treatment in terms of incontinence, first urge to urinate, normal urge to urinate, severe urge to urinate and changes in residual urine volumes. There was a significant decrease in maximal vesical pressure after treatment in Group 1 and Group 3. The maxi­mum detrusor pressure decreased significantly in Group 1. The post-treatment decline in bladder capacity in Group 1 and Group 2 was also significant. Conclusions: RH and pelvic RT cause lower urinary system dysfunction. Especially patients who receive primary curative RT and patients who are administered RT after RH, where more pelvic denervation occurs, are at higher risk due to high doses of RT