OBJECTIVE The aim was to describe the safety and efficacy of (S)-ketamine [(S)-KET] in a series of patients with refractory and super-refractory status epilepticus (RSE and SRSE) in a specialized neurological intensive care unit (NICU). METHODS We retrospectively analyzed the data of patients with RSE and SRSE treated with (S)-KET in the NICU, Salzburg, Austria, from 2011 to 2015. Data collec...

PURPOSE To report the prevalence of dry eye syndrome (DES) in a subset of patients > 50 years old in Valladolid, Spain, calculate internal validity of two DES screening questionnaires, and correlate the results with DES diagnostic tests. METHODS Patients > 50 years-old were randomly selected from the medical network census in Valladolid; they answered the modified McMonnies questionnaire (Q1)...

Despite significant interest by pediatric transplant patients in meeting others who have undergone transplantation, geographic distances combined with their daily routines make this difficult. This mixed-method study describes the use of Zora, a Web-based virtual community designed to create a support system for these patients. The Zora software allows participants to create a graphical online ...

The main goal of the present paper is to study the local solvability of semilnear partial differential operators of the form F(u) = P(D)u + f (x, Q1(D)u, ......, QM (D)u), where P(D), Q1(D), ..., QM (D) are linear partial differntial operators of constant coefficients and f (x, v) is a C∞ function with respect to x and an entire function with respect to v. Under suitable assumptions on the nonl...

If Q1 = Q(A2,A3), Q2 = Q(A1,A3) and Q3 = Q(A1,A2) are the quadrances of a triangle A1A2A3, then Pythagoras’ theorem and its converse can together be stated as: A1A3 is perpendicular to A2A3 precisely when Q1 + Q2 = Q3. Figure 1 shows an example where Q1 = 5, Q2 = 20 and Q3 = 25. As indicated for the large square, these areas may also be calculated by subdivision and (translational) rearrangemen...

Suppose we are given examples x1, x2 . . . , xm drawn from a probability distribution D over some discrete space X. In the end, our goal is to estimate D by finding a model which fits the data, but is not too complex. As a first step, we need to be able to measure the quality of our model. This is where we introduce the notion of maximum likelihood. To motivate this notion suppose D is distribu...

2 ∥∥∥(x∗ − x̃) + σ n z̃− δ∥∥2l2 s.t. δ ∈ C − x̃. Letting R1 and R2 denote orthogonal subspaces that contain Q1 and Q2, i.e., Q1 ⊆ R1 and Q2 ⊆ R2, and letting δ = PR1(δ), δ (2) = PR2(δ), δ̂ (1) n (C) = PR1(δ̂n(C)), δ̂ (2) n (C) = PR2(δ̂n(C)) denote the projections of δ, δ̂n(C) onto R1, R2, we can rewrite the above reformulated optimization problem as: [ δ̂ (1) n (C), δ̂ (2) n (C) ] = arg min δ∈Q1,δ∈Q2 1 2...

The authors prove that bilinear operators given by finite sums of products of Calderón-Zygmund operators on Rn are bounded from HK̇11 q1 × HK̇ α2,p2 q2 into HK̇ q if and only if they have vanishing moments up to a certain order dictated by the target space. Here HK̇ q are homogeneous Herz-type Hardy spaces with 1/p = 1/p1 +1/p2, 0 < pi ≤ ∞, 1/q = 1/q1 +1/q2, 1 < q1, q2 < ∞, 1 ≤ q < ∞, α = α1 + α2 a...