Phylogenetic PCA (p-PCA) is a version of for observations that are leaf nodes phylogenetic tree. P-PCA accounts the fact such not independent, due to shared evolutionary history. The method works on Euclidean data, but in biology there need applying it data manifolds, particularly shapes. We provide generalization p-PCA lying Riemannian called Tangent p-PCA. thus makes possible perform dimensio...

هدف: هدف از این پژوهش بررسی واسطه‌­ای راهبردهای سازش نایافته تنظیم شناختی هیجان در رابطه باورهای فراشناختی با اضطراب امتحان بود. روش: روش حاضر توصیفی و نوع همبستگی جامعه آماری را کلیه دانش‌­آموزان پسر دوره دوم متوسطه شهر تهران سال تحصیلی 1401-1400 تشکیل دادند که تعداد 456 نفر به نمونه‏‌گیری دسترس انتخاب شرکت کردند. ابزارها شامل سیاهه ابوالقاسمی همکاران (1375)، پرسشنامه باکو دیگران (2009)، فرم ک...

In this paper, we specify the performance of our pioneering billiard robot in pulling game training. We discuss the important role of practical demonstration in sports education, and introduce the robot technology to teaching demonstration of sports item. And put forward our algorithm for the fast image calculation of the ball obstructed by other balls, the problem that must be resolved while t...

We study the problem of estimating the leading eigenvectors of a high-dimensional population covariance matrix based on independent Gaussian observations. We establish a lower bound on the minimax risk of estimators under the l2 loss, in the joint limit as dimension and sample size increase to infinity, under various models of sparsity for the population eigenvectors. The lower bound on the ris...