A simplified orthotropic formulation of the viscoplasticity theory based on overstress

An orthotropic, small strain viscoplasticity theory based on overstress is presented. In each preferred direction the stress is composed of time (rate) independent (or plastic) and viscous (or rate dependent) contributions. Tension-compression asymmetry can depend on direction and is included in the model. Upon a proper choice of a material constant one preferred direction can exhibit linear elastic response while the other two deform in a viscoplastic manner

A New Biometric Template Protection using Random Orthonormal Projection and Fuzzy Commitment

Biometric template protection is one of most essential parts in putting a biometric-based authentication system into practice. There have been many researches proposing different solutions to secure biometric templates of users. They can be categorized into two approaches: feature transformation and biometric cryptosystem. However, no one single template protection approach can satisfy all the requirements of a secure biometric-based authentication system. In this work, we will propose a novel hybrid biometric template protection which takes benefits of both approaches while preventing their limitations. The experiments demonstrate that the performance of the system can be maintained with the support of a new random orthonormal project technique, which reduces the computational complexity while preserving the accuracy. Meanwhile, the security of biometric templates is guaranteed by employing fuzzy commitment protocol.Comment: 11 pages, 6 figures, accepted for IMCOM 201

Long term currency forecast with multiple trend corrected exponential smoothing with shifting lags

In the current global economy, exchange rate forecasting is critical for investors and businesses seeking to make informed investment decisions and manage risk. While many short-term exchange rate forecasting methods exist, long-term forecasting methods are limited and often fail to account for the complex macroeconomic factors that influence exchange rate trends. However, investors need to have an analytically examined basis for deciding to invest, which requires knowing more about the future values of the related market currency. This paper proposes a new Multiple Trend Corrected Exponential Smoothing with Shifting Lags model to forecast long-term exchange rates, which incorporates multiple trend corrections and shifting lags to provide more accurate predictions of future currency values. We apply the proposed method to six currency pairs (USD/EUR, USD/NOK, USD/TRY, USD/CNY, USD/XOF, and USD/MGF) from 2006 to 2018 and compare its performance to existing methods, such as moving average, weighted moving average, and exponential smoothing. Our results show that the proposed model provides more accurate long-term exchange rate forecasts for developed countries than existing methods. Our findings have important implications for investors and businesses seeking to manage currency risk and make informed investment decisions in the global economy

Determination of the opinions and expectations of cancer patients and families about home care

Session presented on Monday, July 27, 2015: Purpose: This research was conducted as a descriptive study in order to determine the opinions and expectations of cancer patients and their families about home care. Methods: This research was conducted in GMMA Medical Oncology and Hematology Department between October 2012 and April 2013. The sample of the study was included total of 200 participants consisting 100 cancer patients and 100 family members of cancer patients who accepted to participate the study. As the data collection tools, form of socio-demographic and medical characteristics of the patient and families, and form of opinions and expectations of the patient and families about home care, which were developed by the researcher, were used. As descriptive statistics, number and percentage (%) for the count specified variables, average standart deviation (X=SD) for the measurement specified variables, and Chi-Square (?2) test for the comparison of categorical variables were used. Results: The majority of patients and families participated in the study did not have enough knowledge about home care and legal arrangements, if there were facilities they wanted to maintain their treatment at home, and wanted to the nurse to give home care. The opinions of the patients and families about home care were mostly similar; primarily they indicated that home care services must be paid by goveRNnt, home care must be with hospital support, they would be more comfortable at home, and they wanted to get education at home. The primarily expectations of the patients and families about home care were hygiene, arrangement of the home environment, nutrition, ambulation, and taking measures to prevent the risk of infection and accidents. Conclusion: It is important to determination of knowledge and expectations of cancer patients and the families about home care in the early stages

Approximating multivariate distributions with cumulative residual entropy: a study on dynamic integrated climate-economy model

The complexity of real world decision problems is exacerbated by the need to make decisions with only partial information. How to model and make decisions in situations where only partial preference information is available is a significant challenge in decision analysis practice. In most of the studies, the probability distributions are approximated by using the mass function or density function of the decision maker. In this dissertation, our aim is to approximate representative probability and utility functions by using cumulative distribution functions instead of density/mass functions. This dissertation consists of four main sections. The first two sections introduce the proposed methods based on cumulative residual entropy, the third section compares the proposed approximation methods with the methods in information theory literature, and the final section of the dissertation discusses the cumulative impact of integrating uncertainty into the DICE model. In the first section of the dissertation, we approximate discrete joint probability distributions using first-order dependence trees as well as the recent concept of cumulative residual entropy. We formulate the cumulative residual Kullback-Leibler (KL)-divergence and the cumulative residual mutual information measures in terms of the survival function. We then show that the optimal first-order dependence tree approximation of the joint distribution using the cumulative Kullback-Leibler divergence is the one with the largest sum of cumulative residual mutual information pairs. In the second part of the dissertation, we approximate multivariate probability distributions with cumulative probability distributions rather than density functions in maximum entropy formulation. We use the discrete form of maximum cumulative residual entropy to approximate joint probability distributions to elicit multivariate probability distributions using their lower order assessments. In the third part of the dissertation, we compare several approximation methods to test the accuracy of different approximations of joint distributions with respect to the true distribution from the set of all possible distributions that match the available information. A number of methods have beeb presented in the literature for joint probability distribution approximations and we specifically compare those approximation methods that use information theory to approximate multivariate probability distributions. Finally, we study whether uncertainty significantly affects decision making especially in global warming policy decisions and integrate climatic and economic uncertainties into the DICE model to ascertain the cumulative impact of integrating uncertainty on climate change by applying cumulative residual entropy into the DICE model

STUDENTS' SUCCESS IN ENGLISH VOCABULARY ACQUISITION THROUGH MULTIMEDIA ANNOTATIONS SENT VIA WHATSAPP

The purpose of this study is to determine the effects of the multimedia annotations which were sent through instant messaging application WhatsApp on students' success in English vocabulary acquisition together with their opinions on the educational use of WhatsApp and the multimedia annotations. In the study, mixed method model, which combines both quantitative and qualitative data, was employed. Results of the variance analysis of the quatitative data indicated that the multimedia annotations sent through WhatsApp yielded a meaningful increase in students' vocabulary acquisition. Multiple comparison test to identify the reason of this increase revealed that Text+Picture+Audio' and Text+Picture' multimedia annotations increased students' vocabulary acquisition meaningfully when compared to other learning multimedia annotations. Although Text+Audio' multimedia annotation contributed to the success of students more than the students who received only 'texts', it wasn't found meaningful. In the qualitative aspect of the study, students expressed their willingness to go on the treatment. They stated that similar researches in their other courses could be useful. They also added that they could learn unconsciously and expressed positive opinions towards the use of the pictures and audio annotations in particular. However, a few students reacted negatively againts the irrelevant posts and stated that the posts occupied a lot of space on their phones

Effectiveness of Cognitive Behavioral Group Therapy for Treatment of Social Phobia in Adults: A Systematic Review

This study aims to review empirical studies that were used to evaluate the effectiveness of cognitive-behavioral group therapy programs for the treatment of social phobia (social anxiety disorder) in adults. Articles in English and Turkish that were published between the years of 2005 and 2015 have been searched in the national and international databases. The articles that were not therapy effec-tiveness studies, and group therapies that not based on cognitive behavioral approach, researches that examined different disorder apart from social phobia were eliminated. The remaining 27 studies that met the criteria were introduced in the context of method, therapy characteristics and results. Findings of articles revealed that cognitive behavior group therapy for social phobia decreases social phobia symptoms and improves the quality of life in adults. [Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry 2016; 8(Supplement 1): 61-78

Long Term Effectiveness of Cognitive Behavioral Group Therapy for Treatment of Major Depressive Disorder: A Systematic Review

The aim of the study was to conduct systematic review the articles on long term effectiveness of cognitive-behavioral group therapy for treatment of major depressive disorder. Articles in English and Turkish published between the years of 2000 and 2015 (January) were searched in national and international databases. The articles that did not include follow-up studies were excluded. Although the main aim of this study is to evaluate permanent effect of the cognitive behavioral group therapy, 21 articles that met the criteria were examined also in terms of some other variables such as research method, therapy characteristics and post test results. The findings of the articles revealed that cognitive-behavioral group therapy is effective for major depressive disorder and post therapy gains are maintained for a long time. [Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry 2016; 8(Supplement 1): 23-38

The Relationship between Endothelial Nitric Oxide Synthase Gene Polymorphism (G894T) and Isole Coronary Artery Ectasia

29th Turkish Cardiology Congress of the Turkish-Society-of-Cardiology (TSC) with International Participation -- OCT 26-29, 2013 -- Antalya, TURKEYWOS: 000329858400493…Turkish Soc Cardio