Abstract WINERED is a novel near-infrared (NIR) high-resolution spectrograph (HRS) that pursues the highest possible sensitivity to realize high-precision spectroscopy in NIR as optical wavelength range. covers 0.9–1.35 μ m ( z , Y and J -bands) with three modes (Wide mode two Hires modes) at maximum spectral resolutions of R = 28,000 70,000. For fulfilling objective, designed an unprecedentedl...

a case who was suffering from abdominal pain and chronic diarrhea refered to isfahan health training and research center, institute of public health. current treatments for chronic diarrhea incloding a traial of gluten fre diet were performed but these were not effective because he was infected by dicrocoelium dentriticum. then he was cured with parasitic treatment.

Episode creation, the task of classifying medical events and related clinical data to a high-level concept, such as a disease, illness or care, has been primarily an interest of healthcare payers for purposes of cost outcomes analysis. Traditional challenges in episode creation have included: inconsistencies in defining episodes; lack of sufficient information to infer episodes; and differences...

Interdisciplinary design is essential to create new pervasive health applications, in our case those for dementia care, and to innovate our healthcare systems to meet the challenges of ongoing demographic changes. While interdisciplinary design is gaining attention in HCI literature and challenges of managing and executing interdisciplinary design projects are brought to the fore, few guideline...

1 Abstract This year Eurecom submitted 5 runs for the High-Level Feature Extraction task. Below are brief descriptions of these submissions. • A Eurecom rerank1: this run reranks the results of the previous run Eurecom fuse base based on the prior probability of the concept in shots and videos. • A Eurecom rerank2: this run updates the concept score of the run Eurecom fuse base based on context...

Let K be a subset of the Euclidean sphere S d−1. As seen in Lecture #1, in analyzing how well a given random projection matrix S ∈ R m×d preserves vectors in K, a central object is the random variable Z(K) = sup u∈K Su 2 2 m − 1. (2.1) Suppose that our goal is to establish that, for some δ ∈ (0, 1), we have Z(K) ≤ δ with high probability. How large must the projection dimension m be, as a funct...