MAGiC: A multimodal framework for analysing gaze in dyadic communication

The analysis of dynamic scenes has been a challenging domain in eye tracking research. This study presents a framework, named MAGiC, for analyzing gaze contact and gaze aversion in face-to-face communication. MAGiC provides an environment that is able to detect and track the conversation partner’s face automatically, overlay gaze data on top of the face video, and incorporate speech by means of speech-act annotation. Specifically, MAGiC integrates eye tracking data for gaze, audio data for speech segmentation, and video data for face tracking. MAGiC is an open source framework and its usage is demonstrated via publicly available video content and wiki pages. We explored the capabilities of MAGiC through a pilot study and showed that it facilitates the analysis of dynamic gaze data by reducing the annotation effort and the time spent for manual analysis of video data

Insomnia as a Symptom or a Disease

Insomnia is an important public health problem because it has a significant negative impact on individuals’ physical, psychological, and social performance, and quality of life. It may arise directly from a sleep-wake regulatory dysfunction and/or indirectly result from comorbid psychiatric or medical conditions. It is also known that insomnia as a symptom has a negative impact on clinical structure, response to therapeutic intervention, and prognosis of co-morbid pathology. However, it has generally been viewed and treated as a symptom rather than disease. It is not always clear which insomnia cases are primary and which are secondary. But the distinction between insomnia as a disease (primary) and as a symptom (secondary) is essential for better conceptualization of the condition for etiopathogenesis, and it is also important for choosing the most appropriate and effective therapy. For these reasons, a systematic evaluation of insomnia cases is needed

Differentially Private Linear Optimization for Multi-Party Resource Sharing

This study examines a resource-sharing problem involving multiple parties that agree to use a set of capacities together. We start with modeling the whole problem as a mathematical program, where all parties are required to exchange information to obtain the optimal objective function value. This information bears private data from each party in terms of coefficients used in the mathematical program. Moreover, the parties also consider the individual optimal solutions as private. In this setting, the concern for the parties is the privacy of their data and their optimal allocations. We propose a two-step approach to meet the privacy requirements of the parties. In the first step, we obtain a reformulated model that is amenable to a decomposition scheme. Although this scheme eliminates almost all data exchanges, it does not provide a formal privacy guarantee. In the second step, we provide this guarantee with a locally differentially private algorithm, which does not need a trusted aggregator, at the expense of deviating slightly from the optimality. We provide bounds on this deviation and discuss the consequences of these theoretical results. We also propose a novel modification to increase the efficiency of the algorithm in terms of reducing the theoretical optimality gap. The study ends with a numerical experiment on a planning problem that demonstrates an application of the proposed approach. As we work with a general linear optimization model, our analysis and discussion can be used in different application areas including production planning, logistics, and revenue management

Futbolda farklı saha zeminlerinin kas hasarı üzerine etkisi

Bu çalışmanın amacı, futbolda farklı saha zeminlerinin kas hasarı üzerine olan etkisinin incelenmesidir. Çalışmaya, ortalama yaşları 21,63 yıl olan 19 erkek futbolcu katılmıştır. Çim ve sentetik zeminde antrenman yaptırılan sporculardan antrenman öncesi, antrenmanın hemen sonrası, antrenmanın 24 ve 72 saat sonrası olmak üzere toplamda sekiz kez kan alınarak zemin değişkenine göre antrenmanda oluşan kas hasarı değerlendirilmiştir. Kas hasarının tespitinde, kreatin kinaz (CK), laktat dehidrogenaz (LDH), aspartat aminotransferaz (AST) ve troponin T (TnT) belirteçleri kullanılmıştır. Ölçümlerden elde edilen verilerin karşılaştırılması için Friedman ve Wilcoxon testleri kullanılmıştır. Tüm istatistiksel hesaplamalarda SPSS 26 programı kullanılmış ve yanılma düzeyi 0,05 olarak kabul edilmiştir. Elde edilen sonuçlara göre, LDH, AST, CK ve TnT seviyelerinde kendi içinde hem çim hem de sentetik zeminde zaman aralıklarında anlamlı fark gözlenmiştir. Zeminler, zaman aralıkları içinde, birbirleriyle karşılaştırıldıklarında LDH’nin 24 saat sonraki değerlerinde ve TnT için antrenman öncesi ve 72 saat sonraki değerlerinde anlamlı bir farklılık gözlenmişken (p0,05). Sonuç olarak; çim ya da sentetik sahada yapılan antrenmanların her ikisinin de kas hasarına neden olduğunu ancak LDH, CK ve AST için sentetik zeminde yapılan antrenman sonrasında toparlanmanın çim zemine göre daha çabuk gerçekleştiği, TnT için ise çimde yapılan antrenmaların daha avantajlı olabileceğini görülmüştür

Humic acids protective activity against manganese induced LTR (long terminal repeat) retrotransposon polymorphism and genomic instability effects in Zea mays

AbstractLong terminal repeat (LTR) retrotransposon polymorphism and genomic instability are considered to be one of the most important rearranging mechanisms under environmental stress. Triggering of this knowledge, we aimed to elucidate protective effect of humic acid (HA) on genomic instability and LTR retrotransposon polymorphism in Zea mays seeds subjected to manganese stress. REMAP (Retrotransposon-microsatellite Amplified Polymorphism) and IRAP (Inter-Retrotransposon Amplified Polymorphism) were used to define the GTS (Genomic Template Stability) levels and retrotransposon polymorphism. The results showed that all concentration used Mn led to an increase in retrotransposon polymorphism and DNA damage a reduction GTS rate showing the DNA damage. However, the treatments of humic acid (10%) together with Mn resulted as decreasing DNA damage and retrotransposon polymorphism and also increasing GTS. It can be suggested that HA applications removes the negative effects of Mn on retrotransposon polymorphism and GTS, when considering the research results

May positive psychotherapy effective for treatment-resistant obsessive compulsive disorder?: A case report

The most frequently used psychotherapeutic interventions in OCD treatment are based on exposure and response prevention. However, it is difficult to apply this intervention to a significant part of the patients. In this article, Positive Psychotherapy, an eclectic approach used in the treatment of a patient with treatment-resistant obsessive-compulsive disorder, will be discussed. The patient had OCD for twenty years had attempted suicide a total of six times, including gunshot. The patient had received psychopharmacological interventions, ECT, anterior capsulotomy. She admitted to the clinic because of the there was no regression in the complaints and thought of suicide. During the positive psychotherapy sessions, EMDR technique was applied to the patient who shared that she was raped twice. After completing the steps, there was a decrease in complaints, and then the continuity of rehabilitation checked via behavioral tasks. The patient was discharged with wellbeing. In this article, it is aimed to show the effectiveness of Positive Psychotherapy in the treatment of OCD which is resistant to treatment

Assessment of atrial electromechanical delay and left atrial mechanical functions in chronic kidney disease

Article HistoryReceived Accepted 01 / 05 / 201618 / 05 / 2016The risk of atrial fibrillation (AF) development was revealed to be increased in patients with end-stage renal disease (ESRD) Elongation of the time of atrial electromechanical delay (AEMD) is a famous typical of the atrium. AEMD is a risk factor for AF development and it could be associated with chronic kidney disease (CKD). The aim of our study is to examine mechanical functions of the left atrium (LA) and AEMD times in ESRD. A total of 86 participant, 46 with ESRD and 40 as the control group, were included in the study. The demographical and laboratory information were documented. Echocardiographic dimensions were achieved in all patients. Left atrial mechanical functions and AEMD durations were calculated. Demographic and laboratory characteristics of the groups were similar except the mean diastolic blood pressure, hemoglobin, creatinine, glucose, uric acid, calcium and potassium levels. The echocardiographic assessment exposed that the ventricular septal thickness (12.7±1.5 vs. 10.4±1.5, p<0.001), posterior wall thickness (12.6±1.6 vs. 10.1±1.9, p<0.001), LA dimension (40.9±5.3 vs.34.6±2.6, p<0.001) and diastolic parameters decreased in the ESRD group when compared to the control group; also, LA volumes, mechanical functions, inter atrial EMD (33.2±9.1 vs. 22.7±7.7, p<0.001), intraright-EMD (18.5±7.7 vs. 13.2±6.4, p=0.001) and intra-left-EMD (18.5±7.7 vs. 13.7±5.7, p=0.002) were also different between groups. (p<0.005) The correlation analysis showed that serum ferritin levels were correlated with AEMD. We found deteriorated LA functions and elongation in the times of AEMD in the ESRD group compared with the control group. Additionally, we found positive correlation between ferritin levels and AEMD. This result show that AEMD might be used to predict the risk of development of AF in patients with ESRD. © 2016 OMUArticle HistoryReceived Accepted 01 / 05 / 201618 / 05 / 2016The risk of atrial fibrillation (AF) development was revealed to be increased in patients with end-stage renal disease (ESRD) Elongation of the time of atrial electromechanical delay (AEMD) is a famous typical of the atrium. AEMD is a risk factor for AF development and it could be associated with chronic kidney disease (CKD). The aim of our study is to examine mechanical functions of the left atrium (LA) and AEMD times in ESRD. A total of 86 participant, 46 with ESRD and 40 as the control group, were included in the study. The demographical and laboratory information were documented. Echocardiographic dimensions were achieved in all patients. Left atrial mechanical functions and AEMD durations were calculated. Demographic and laboratory characteristics of the groups were similar except the mean diastolic blood pressure, hemoglobin, creatinine, glucose, uric acid, calcium and potassium levels. The echocardiographic assessment exposed that the ventricular septal thickness (12.7±1.5 vs. 10.4±1.5, p<0.001), posterior wall thickness (12.6±1.6 vs. 10.1±1.9, p<0.001), LA dimension (40.9±5.3 vs.34.6±2.6, p<0.001) and diastolic parameters decreased in the ESRD group when compared to the control group; also, LA volumes, mechanical functions, inter atrial EMD (33.2±9.1 vs. 22.7±7.7, p<0.001), intraright-EMD (18.5±7.7 vs. 13.2±6.4, p=0.001) and intra-left-EMD (18.5±7.7 vs. 13.7±5.7, p=0.002) were also different between groups. (p<0.005) The correlation analysis showed that serum ferritin levels were correlated with AEMD. We found deteriorated LA functions and elongation in the times of AEMD in the ESRD group compared with the control group. Additionally, we found positive correlation between ferritin levels and AEMD. This result show that AEMD might be used to predict the risk of development of AF in patients with ESRD. © 2016 OM

Simulated Patient Practices in Psychiatry and Communication Training

One of the effective methods of teaching to earn cognitive and psychomotor behaviors for students is interactive methods in which they actively participate in learning process. Simulated/standardized patient can be used in simulation application which is one type of the interactive methods. The simulant patient consists of those who have been trained to act and display the real patient scenario. The simulant patient provides a safe learning environment based on experience in virtual or laboratory environment prior to the actual patient environment for students. This application helps students to increase the level of knowledge and skills, their self adequacy, their motivation and their safety, reduce their level of anxiety and improve their clinical decision making skills. The aim of this article is to briefly review simulated patient practices in communication training and psychiatry

Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports

Container traffic forecasting is important for the operations and the design steps of a seaport facility. In this study, performances of the novel soft computing models were compared for the container traffic forecasting of principal Turkish seaports (Istanbul, Izmir, and Mersin seaports) with excessive container traffic. Four forecasting models were implemented based on Artificial Neural Network with Artificial Bee Colony and Levenberg-Marquardt Algorithms (ANN-ABC and ANN-LM), Multiple Nonlinear Regression with Genetic Algorithm (MNR-GA), and Least Square Support Vector Machine (LSSVM). Forecasts were carried out by using the past records of the gross domestic product, exports, and population of the Turkey as indicators of socioeconomic and demographic status. Performances of the forecasting models were evaluated with several performance metrics. Considering the testing period, the LSSVM, ANN-ABC, and ANN-LM models performed better than the MNR-GA model considering overall fitting and prediction performances of the extreme values in the testing data. The LSSVM model was found to be more reliable compared to the ANN models. Forecasting part of the study suggested that container traffic of the seaports will be increased up to 60%, 67%, and 95% at the 2023 for the Izmir, Mersin, and Istanbul seaports considering official growth scenarios of Turkey