Determining the pH in canine urine: comparing visual and automated reading variability of urine dipstick analysis within a small animal teaching hospital

Pulmonary hypertension (PH) is present in approximately 70-80% of dogs with left-sided congestive heart failure (L-CHF) and contributes to clinical signs and outcome. Anecdotal evidence suggests that PH in cats with L-CHF is much less frequent. However, data on the prevalence of PH in cats with L-CHF is not available. This study addresses the general hypothesis that PH secondary to L-CHF is uncommon in cats and that echocardiographic findings in cats with PH are different compared to dogs. This retrospective observational study included 56 healthy cats and 131 cats with L-CHF imaged between 2004 and 2016 at the Ohio State University, Veterinary Medical Center. Key diagnostic variables included tricuspid regurgitation (TR) peak velocity, right atrial (RA) size, right ventricular (RV) size and function, RV wall thickness, pulmonary artery (PA) size, Doppler-derived systolic time intervals of PA flow (STIs), presence of septal flattening, and variables characterizing left atrial size and left ventricular size and function. PH was identified if TR peak velocity was >2.7 m/s (estimated systolic PA pressure >35 mmHg). Parametric and non-parametric statistical test procedures were used to compare normal cats to cats with L-CHF, and cats with and without PH. Tricuspid regurgitation was present in 57/131 (44%) of cats with L-CHF. Pulmonary hypertension was present in 22/131 of cats with L-CHF (17%). In 15/22 cases PH was associated with cardiomyopathy, in 5/22 cases with congenital heart disease, and in 2/22 cases to other causes. All cats with PH (22/22, 100%) had subjectively-assessed right-sided enlargement, with larger RA and RV diameters (P21.5 mm; Sensitivity [Sn] 0.82, Specificity [Sp] 0.42) and RV ventricular diameter (>7.8 mm; Sn 0.91, Sp 0.64) had the most accurate cutoff to predict PH compared to other variables. Method reproducibility (measurement variability) was good, with most coefficients of variation <15%. Compared to dogs, PH is not a common finding in cats with L-CHF. Right-sided enlargement is the main finding in cats with PH, and right-heart dimensions should be used to suspect PH if TR is absent or difficult to measure. Further studies are needed to identify reasons and mechanisms for the obvious differences between dogs and cats

Хмарні технології в освіті: матеріали 7 семінару CTE 2019

This volume represents the proceedings of the 7th Workshop on Cloud Technologies in Education (CTE 2019), held in Kryvyi Rih, Ukraine, in December 20, 2019. It comprises 42 contributed papers that were carefully peer-reviewed and selected from 66 submissions. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research. The volume is structured in four parts, each presenting the contributions for a particular workshop track.Цей том представляє матеріали 7-го семінару "Хмарні технології в освіті" (CTE 2019), який відбувся у Кривому Розі, Україна, 20 грудня 2019 року. Він містить 42 доповіді, ретельно перевірені та відібрані з 66 робіт. Прийняті документи представляють сучасний огляд успішних випадків та надають рекомендації щодо майбутніх досліджень. Том складається з чотирьох частин, кожна з яких представляє внески для певного тематичного напряму семінару

Матеріали 1-го симпозіуму з передових освітніх технологій - Том 1: AET

Матеріали 1-го симпозіуму з передових освітніх технологій.Proceedings of the 1st Symposium on Advances in Educational Technology

Multimodal Emogram, Data Collection and Presentation

Summary. There are several characteristics not optimally suited for the user state classification with Wizard-of-Oz (WOZ) data like the nonuniform distribution of emotions in the utterances and the distribution of emotional utterances in speech, facial expression, and gesture. In particular, the fact that most of the data collected in the WOZ experiments are without any emotional expression gives rise to the problem of getting enough representative data for training the classifiers. Because of this problem we collected data in our own database. These data are also relevant for several demonstration sessions, where the functionality of the SMARTKOM system is shown in accordance with the defined use cases. In the following we first describe the system environment for data collection and then the collected data. At the end we will discuss the tool to demonstrate user states detected in the different modalities. 1 Database with Acted User States Because of the lack of training data we decided to build our own database and to collect uniformly distributed data containing emotional expression of user state in all three handled modalities — speech, gesture and facial expression (see Streit et al. (2006) and for an online demonstration refer to our website 1). We collected data of instructed subjects, who should express four user states for recording. Because SMARTKOM is a demonstration system it is sufficient to use instructed data for the training database. For our study we collected data from 63 naive subjects (41 male/22 female). They were instructed to act as if they had asked the SMARTKOM system for the TV program and felt content, unsatisfied, helpless or neutral with the system feedbacks. Different genres such as news, daily soap and science reports were projected onto the display for selection. The subjects were prompted with an utterance displayed on the screen and were then to indicate their internal state through voice and gesture, and at the same time, through different facial expressions.