A Survey on Physical Education and Sport Department Students’ Opinion about Cooperative Learning Method

The aim of the study is to find out the opinion of the students who had taken two different courses as theoretical and applied courses about this learning strategy with the help of cooperative learning method and to match the opinion of students who are studying theoretical and applied courses with each other. Totally, 55 students, 25 of which are the ones who studied applied “Basic Gymnasium” in the curriculum of Physical Education and Sports Academy of Education Faculty in the academic year of 2009-2010, and, 30 of which are the ones who studied theoretical “Physical Education and Fundamentals of Sports” at the same department in the academic year of 2010-2011, constitute the sample group of cooperative learning method that was applied. At the end of courses, student opinion scale that was developed by the researchers in order to detect the interests of students about the related method was applied to the students. In order to find out the opinion of the students about the method, their answers to the questions were evaluated statistically and percentage distributions were given comparatively as a result of the applications that have been done. According to the data that was gathered, the application of cooperative learning method in physical and sports department was confronted positively. The study has revealed that the students to whom cooperative learning method was applied in applied courses had more positive thoughts than the students to whom cooperative learning method was applied in theoretical courses. Keywords: Cooperative Learning, Theoretical Courses, Applied Courses, Students’ Opinion

Pluripotential Theory and Convex Bodies: A Siciak-Zaharjuta theorem

We work in the setting of weighted pluripotential theory arising from polynomials associated to a convex body $P$ in $({\bf R}^+)^d$. We define the {\it logarithmic indicator function} on ${\bf C}^d$: $$H_P(z):=\sup_{ J\in P} \log |z^{ J}|:=\sup_{ J\in P} \log[|z_1|^{ j_1}\cdots |z_d|^{ j_d}]$$ and an associated class of plurisubharmonic (psh) functions: $$L_P:=\{u\in PSH({\bf C}^d): u(z)- H_P(z) =0(1), \ |z| \to \infty \}.$$ We first show that $L_P$ is not closed under standard smoothing operations. However, utilizing a continuous regularization due to Ferrier which preserves $L_P$, we prove a general Siciak-Zaharjuta type-result in our $P-$setting: the weighted $P-$extremal function $$V_{P,K,Q}(z):=\sup \{u(z):u\in L_P, \ u\leq Q \ \hbox{on} \ K\}$$ associated to a compact set $K$ and an admissible weight $Q$ on $K$ can be obtained using the subclass of $L_P$ arising from functions of the form $\frac{1}{deg_P(p)}\log |p|$ (appropriately normalized)

Company success estimation during economic crisis: an artificial neural network based approach

Makale Endüstri Mühendisliği dergisinin "YA/EM 2008 özel sayısı"nda yayımlanmıştır.Bu çalışmanın amacı, ekonomik kriz dönemlerinde firma başarısının tahmin edilebilmesi için yapay sinir ağları (YSA) tabanlı bir yöntem önerisi sunmaktır. Yazında firmaların kriz dönemlerini başarı ile atlatabilmeleri konusunda çok sayıda çalışma yer almaktadır. Başarı veya başarısızlık yorumu, firmaların kriz dönemlerinden önce sahip oldukları finansal göstergeler temel alınarak yapılabilir, bu göstergeler aynı zamanda firma başarısı üzerine tahmin yapmayı sağlar. Bu çalışmada, 2001 yılında Türkiye'de meydana gelen ekonomik krizden önceki yıl içerisinde firmaların sahip oldukları finansal göstergeler üzerinden, bu süreci başarı ile atlatabilmiş olma durumuna göre bir YSA modeli geliştirilmiştir. Çalışmamızda, kalkınmada öncelikli sektör olması nedeniyle imalat firmalarından oluşturulan türdeş bir veri seti ile prototip bir model önerisi tasarlanmıştır.The purpose of this paper is to present an artificial neural network (ANN) based method for the estimation of company success during economic crisis periods. There are a number of studies about recovering the crisis successfully by companies. Success or failure interpretation can be made upon financial indicators of companies for the period before the crisis. These indicators also provide estimation about the success of the companies. In this study, an ANN model is proposed estimating the success of companies after crisis period by means of financial indicators of the companies for the year before 2001 economic crisis of Turkey. A prototype model is designed with regards to homogeneous data set retrieved from the companies facilitating in manufacturing sector

The Investigation on Physical Education Teacher Candidate’s Resilience, Tenacity and Motivation Levels

The main purpose of this study is to examine possible relationships between resilience, tenacity and motivation of physical education teacher candidates. In addition, resilience, tenacity and motivation levels were examined according to class and gender levels. Participants of the study are 154 PE students in Ağrı province. There are 50 female participants and 104 male students. The Resilience Scale adapted to Turkish by Sarıçam et al. (2012). The Tenacity Scale-Short Form adapted to Turkish by Sarıçam et al. (2016) Stability Scale and Personal Information Form were used. To analyze the data, t test, ANOVA, Pearson moment product correlation analysis and multiple regression analysis were used. 99% p <.01 was taken as confidence interval in the study. According to research findings, there are statistically significant relationships in positive direction among the resilience, tenacity and motivation in the candidates of physical education teachers. When the resilience increases, tenacity and motivation levels also increase. According to gender and class level, resilience, tenacity and motivational stability do not differ statistically. The study can be expanded by adding different sections and classes

Pricing Options in Incomplete Equity Markets via the Instantaneous Sharpe Ratio

We use a continuous version of the standard deviation premium principle for pricing in incomplete equity markets by assuming that the investor issuing an unhedgeable derivative security requires compensation for this risk in the form of a pre-specified instantaneous Sharpe ratio. First, we apply our method to price options on non-traded assets for which there is a traded asset that is correlated to the non-traded asset. Our main contribution to this particular problem is to show that our seller/buyer prices are the upper/lower good deal bounds of Cochrane and Sa\'{a}-Requejo (2000) and of Bj\"{o}rk and Slinko (2006) and to determine the analytical properties of these prices. Second, we apply our method to price options in the presence of stochastic volatility. Our main contribution to this problem is to show that the instantaneous Sharpe ratio, an integral ingredient in our methodology, is the negative of the market price of volatility risk, as defined in Fouque, Papanicolaou, and Sircar (2000).Comment: Keywords: Pricing derivative securities, incomplete markets, Sharpe ratio, correlated assets, stochastic volatility, non-linear partial differential equations, good deal bound

How do supply chain management and information systems practices influence operational performance?:Evidence from emerging country SMEs

This study first provides a comparative analysis of the impact of supply chain management (SCM) and information systems (IS) practices on operational performance (OPER) of small- and medium-sized enterprises (SMEs) operating in two neighbouring emerging country markets of Turkey and Bulgaria. Then, we investigate moderating effects of both SCM–IS-linked enablers and inhibitors on the links between SCM and IS practices and OPER of SMEs. To this end, we first empirically identify the underlying dimensions of SCM and IS practices, and SCM–IS-related enabling and inhibiting factors. Second, a series of regression analyses are undertaken to estimate the impact of the study's constructs on OPER of SMEs. The results are discussed comparatively within the contexts of both Turkish and Bulgarian SMEs and beyond. The study makes a significant contribution to the extant literature through obtaining and analysing cross-national survey data of SCM and IS practices in emerging country markets

Green Currents for Meromorphic Maps of Compact K\"ahler Manifolds

We consider the dynamics of meromorphic maps of compact K\"ahler manifolds. In this work, our goal is to locate the non-nef locus of invariant classes and provide necessary and sufficient conditions for existence of Green currents in codimension one.Comment: Statement of Theorem 1.5 is slightly improved. Proposition 5.2 and Theorem 5.3 are adde

Esophageal cancer presenting with atrial fibrillation: A case report

<p>Abstract</p> <p>Introduction</p> <p>Atrial fibrillation was previously reported in patients with esophageal cancer as a complication of total esophagectomy or photodynamic therapy. Here, we propose that atrial fibrillation may also be caused by external compression of the left atrium by esophageal cancer.</p> <p>Case presentation</p> <p>We present a 58-year-old man who developed atrial fibrillation with rapid ventricular rate in the emergency room while being evaluated for dysphagia and weight loss. Atrial fibrillation lasted less than 12 hours and did not recur. Echocardiogram did not reveal any structural heart disease. A 10-cm, ulcerated mid-esophageal mass was seen during esophagogastroscopy. Microscopic examination showed squamous cell carcinoma. Computed tomography of the chest revealed esophageal thickening compressing the left atrium.</p> <p>Conclusion</p> <p>External compression of the left atrium was previously reported to provoke atrial fibrillation. Similarly, esophageal cancer may precipitate atrial fibrillation by mechanical compression of the left atrium or pulmonary veins, triggering ectopic beats in susceptible patients.</p

Exploring wind direction and SO2 concentration by circular-linear density estimation

The study of environmental problems usually requires the description of variables with different nature and the assessment of relations between them. In this work, an algorithm for flexible estimation of the joint density for a circular-linear variable is proposed. The method is applied for exploring the relation between wind direction and SO2 concentration in a monitoring station close to a power plant located in Galicia (NW-Spain), in order to compare the effectiveness of precautionary measures for pollutants reduction in two different years.Comment: 17 pages, 7 figures, 2 table

Data-driven grading of acute graft-versus-host disease

: Despite advances in allogeneic hematopoietic cell transplantation, acute graft-versus-host disease (aGVHD) remains its leading complication, yet with heterogeneous outcomes. Here, we analyzed aGVHD phenotypes and clinical classifications in depth in large, multicenter cohorts involving 3019 patients and addressed prevailing gaps by developing data-driven models. We compared, tested and verified these along with all conventional classifications in independent cohorts and found that data-driven grading outperformed conventional grading in Akaike information criterion and concordance index metrics. Data-driven classifications refined aGVHD assessment with up to 12 severity grades, which were associated with distinct nonrelapse mortality (NRM) and confirmed the key role of intestinal aGVHD. We developed an online calculator for physicians to implement principal component-derived grading (PC1). These results provide substantial insight into the evaluation of aGVHD phenotypes and multiorgan involvement, which relegates the exclusive reporting of overall aGVHD severity grades in transplant registries and clinical trials. Data-driven aGVHD grading provides an expandable platform to refine classification and transplant risk assessment