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Sofia, Bulgaria

New Bulgarian University is a private university based in Sofia, the capital of Bulgaria. NBU is the first private university in Bulgaria. Its campus is located in the Ovcha kupel municipality in western Sofia, known for its proximity to the Vitosha mountain. The university's student body is smaller than that of older institutions in Bulgaria with approximately 7000 students, but larger than that of the American University in Bulgaria , making it the largest private university in the country.Since 2004, NBU is an accredited partner of The Open University Business School.As of 2014 the university offers 37 Bachelors, 69 Masters and 26 PhD programmes in several formats, including distance learning courses. Wikipedia.

Georgieva D.,New Bulgarian University
Rentgenologiya i Radiologiya | Year: 2015

Computer-assisted diagnosis enabled doctors for a second point-of-view on the test results. This improves the diseases' early detection and significantly reduces the chance of errors. These methods very nicely complemented the possibilities of digital medical imaging apparatus, but in analog images their applicability and results entirely depend on the quality of analog images digitalization. Today many standards and remarks for good practices discuss the digital apparatus image quality but the digitalization process of analog medical images is not a part of them. Medical imaging apparatus have become digital, but within an entirely digital medical environment is necessary for their ability to blend with the old analog medical imaging carriers. The life of patients doesn't start with the beginning of digital era and for the aim of tracking diseases it is necessary to use the new digital images as well as older analog ones. For the generation of 40-50 years a large archive of images is piled up, which should be accounted of in the diagnosis process. This article is the author's study of the digitalized image quality problem. It offers a new approach to the x-ray image digitalization - getting the HDR-image by optical sensor. After the HDR-image generation method offers to be used a digital signal processing to improve the quality of the final 16 bit grayscale medical image. The new method for medical image enhancement is proposed - it improves the image contrast, it increases or preserves the dynamic range and it doesn't lead to the loss of small lowcontrast structures in the image. Source

Yaneva M.,Medical University-Sofia | Kalinov K.,New Bulgarian University | Zacharieva S.,Medical University-Sofia
European Journal of Endocrinology | Year: 2013

Objective: Data on the incidence, mortality, and causes of death in patients with Cushing's syndrome (CS) are scarce, due to the rarity of CS. The aim of the study was to analyze mortality in a large cohort of patients of all etiologies and to determine the cause of death. Design: This was a retrospective study of patients with CS, treated over a period of 45 years in the main tertiary referral center in Bulgaria. Methods: Three hundred and eighty-six patients with CS of all etiologies were included. The main outcome measures were the standardized mortality ratio (SMR) and the cause of death. Results: Mean (+ s.d.) age at diagnosis was 38 ± 13 years; 84% of patients were women; mean follow-up was 85 months (range: 0-494 months). The SMR in the CS cohort was 4.05 (95% CI 2.50-5.80) (P< 0.0001). The following subgroups did not have a significantly increased SMR: patients with Cushing's disease SMR - 1.88 (95% CI 0.69-4.08), adrenal adenomas 1.67 (95% CI 0.20-6.02), and ACTH-independent bilateral adrenal hyperplasia 1.14 (95% CI 0.21-6.34). Patients with adrenal carcinomas, ectopic CS, and those with CS of undetermined etiology had significantly increased SMR: 48.00 (95% CI 30.75-71.42), 13.33 (95% CI 0.00-24.59), and 4.00 (95% CI 0.48-14.45) respectively (P< 0.0001). The significant predictors for mortality were active disease at death, age, male sex, etiology of the disease, and the overall duration of active disease. The major causes of death were vascular events (40%) - cardiovascular 29%, and cerebrovascular 11% - followed by infections (12%). Conclusions: Patients with CS have increased mortality due to vascular events and infections. © 2013 European Society of Endocrinology. Source

Georgieva I.,Research Center O3 | Georgieva I.,Western Noord Brabant Mental Health Center | Vesselinov R.,New Bulgarian University | Mulder C.L.,Research Center O3
Early Intervention in Psychiatry | Year: 2012

Aim: The study aims to examine the predictive power of static and dynamic risk factors assessed at admission to an acute psychiatric ward and to develop a prediction model evaluating the risk of seclusion and restraint. Methods: Over 20months, data on demographic and clinical characteristics, psychosocial functioning, level of insight, uncooperativeness, and use of coercive measures were collected prospectively on 520 patients at admission. Logistic regression analysis was used to develop a prediction model. The magnitude of the predictive power of this model was estimated using receiver operating characteristic analysis. Results: The prediction model contained one static predictor (involuntary commitment) and two dynamic predictors (psychological impairment and uncooperativeness), with a high predictive power (receiver operating characteristic area under the curve=0.83). The final risk model classified 72% of the patients correctly, with a higher sensitivity rate (80%) than specificity rate (71%). Conclusion: Early assessment of patients' psychological impairment and uncooperativeness can help clinicians to recognize patients at risk for coercive measures and approach them on time with preventive and less restrictive interventions. Although this simple, highly predictive model accurately predicts the risk of seclusion or restraint, further validation studies are needed before it can be adopted into routine clinical practice. © 2012 Wiley Publishing Asia Pty Ltd. Source

Gurova L.,New Bulgarian University
Journal of Evaluation in Clinical Practice | Year: 2013

In 1973, P. Meehl drew attention to the fact that some clinicians tend to interpret the otherwise clear symptomatic behaviour of their patients as 'normal' if they are given a plausible causal story of patients' behaviours. He claimed that this way of thinking is, in fact, fallacious and gave the alleged fallacy the 'catchy' name 'understanding it makes it normal'. Thirty years later, the cognitive psychologists W.K. Ahn, L. Novick and N. Kim questioned the fallacy status of 'understanding it makes it normal' by arguing that this way of reasoning is not only quite common among clinicians but that it is in fact rational. The controversy over whether 'understanding it makes it normal' is a reasoning fallacy or not is still unresolved and this is evident from the recent discussion about the proposed removal of the 'normal grief' exclusion criterion for Major Depressive Disorder from DSM-5. This paper proposes an analysis of what stands behind the two opposing claims about 'understanding it makes it normal'. The analysis builds on the distinction between validity and utility of psychiatric diagnoses and reaches the following conclusions: (1) the fallacy claim is consistent with the assumption that the psychiatric diagnoses are valid descriptions of real mental disorders; (2) the non-fallacy claim is consistent with the opposite assumption that current psychiatric diagnoses are not valid but only useful descriptions and their utility varies across different contexts; (3) if we agree that there is not enough evidence for the validity of the diagnostic categories embedded in DSM-4 and ICD-10, we should also agree that the behaviour of those mental health professionals who change their diagnoses under the influence of the causal context is rational; (4) nevertheless, the 'understanding it makes it normal' reasoning strategy should be considered a bias insofar as it takes into account only part of the causal context: the causes of the symptoms but not what they themselves might cause. The neglect of the latter might have dramatic negative consequences in clinical practice. In addition, some recent studies suggest that this bias probably has cultural roots. © 2013 John Wiley & Sons Ltd. Source

Landjev I.,New Bulgarian University | Vandendriesche P.,Ghent University
Designs, Codes, and Cryptography | Year: 2014

Let R be a finite chain ring with |R|=qm, R/Rad R ≅ F q, and let Ω = PHG (RRn). Let τ = (τ1, ⋯, τn) be an integer sequence satisfying m = τ1≥τ2≥⋯≥τ n≥0. We consider the incidence matrix of all shape ms = (m,⋯, m/s) versus all shape τ subspaces of Ω with m s ≤ τ ≤ mn-s. We prove that the rank of M ms, τ (Ω) over ℚ is equal to the number of shape ms subspaces. This is a partial analog of Kantor's result about the rank of the incidence matrix of all s dimensional versus all t dimensional subspaces of PG(n, q). We construct an example for shapes σ and τ for which the rank of Mσ, τ (Ω) is not maximal. © 2014 Springer Science+Business Media New York. Source

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