User centered ecological interface design (UCEID): A novel method applied to the problem of safe and user-friendly interaction between drivers and autonomous vehicles

© Springer International Publishing AG 2018. User Centered Ecological Interface Design (UCEID) is a novel Human Factors method that integrates relationships between Ecological Interface Design (EID) and inclusive Human Centered Design. It combines existing methodology from the Cognitive Work Analysis (CWA) framework [1–3] and Inclusive User Centered Design [4, 5]. This paper offers a practical guide to UCEID by providing a high-level summary for practitioners using the example of vehicle to driver handover in a BASt Level 3 autonomous vehicle

Passive Microwave Remote Sensing for Sea Ice Thickness Retrieval Using Neural Network and Genetic Algorithm

Abstract-Over the years, global warming has gained much attention from the global community. The fact that the sea ice plays an important role and has significant effects towards the global climate has prompted scientists to conduct various researches on the sea ice in the Polar Regions. One of the important parameters being studied is the sea ice thickness as it is a direct key indication towards the climate change. However, to conduct studies on the sea ice scientists are often facing with tough challenges due to the unfavorable harsh weather conditions and the remoteness of the Polar Regions. Thus, microwave remote sensing offers an attractive mean for the observation and monitoring of the changes of sea ice in the Polar Regions for the scientists. In this paper, we will be presenting 2 approaches using passive microwave remote sensing to retrieve sea ice thickness. The first approach involves the training and testing of the neural network (NN) by using data sets generated from the Radiative Transfer Theory with Dense Medium Phase and Amplitude Correction Theory (RT-DMPACT) forward scattering model. Once training is completed, the inversion for sea ice thickness could be done speedily. The second approach utilizes a genetic algorithm (GA) which would perform a search routine to identify possible solutions in sea ice thickness that would match the corresponding brightness temperatures profile of the sea ice. The results obtained from both approaches are presented and tested by using Special Scanning Microwave Imager (SSM/I) data with the aid of the sea ice measurements in the Arctic sea

Revealing nuclear receptor hub modules from Basal-like breast cancer expression networks

Nuclear receptors are a class of transcriptional factors. Together with their co-regulators, they regulate development, homeostasis, and metabolism in a ligand-dependent manner. Their ability to respond to environmental stimuli rapidly makes them versatile cellular components. Their coordinated activities regulate essential pathways in normal physiology and in disease. Due to their complexity, the challenge remains in understanding their direct associations in cancer development. Basal-like breast cancer is an aggressive form of breast cancer that often lacks ER, PR and Her2. The absence of these receptors limits the treatment for patients to the non-selective cytotoxic and cytostatic drugs. To identify potential drug targets it is essential to identify the most important nuclear receptor association network motifs in Basal-like subtype progression. This research aimed to reveal the transcriptional network patterns, in the hope to capture the underlying molecular state driving Basal-like oncogenesis. In this work, we illustrate a multidisciplinary approach of integrating an unsupervised machine learning clustering method with network modelling to reveal unique transcriptional patterns (network motifs) underlying Basal-like breast cancer. The unsupervised clustering method provides a natural stratification of breast cancer patients, revealing the underlying heterogeneity in Basal-like. Identification of gene correlation networks (GCNs) from Basal-like patients in both the TCGA and METABRIC databases revealed three critical transcriptional regulatory constellations that are enriched in Basal-like. These represent critical NR components implicated in Basal-like breast cancer transcription. This approach is easily adaptable and applicable to reveal critical signalling relationships in other diseases

25 Theoretical Modeling and Measurement Comparison of Season-long Rice Field Monitoring

Abstract The development of a theoretical model to describe the scattering mechanisms involved in the remote sensing of rice crops is essential, as it ensures correct application of remote sensing data for rice monitoring. The theoretical model used in this study is based on the radiative transfer theory applied on a layered dense discrete random medium. The dense medium phase and amplitude correction theory (DM-PACT), which considers the coherent effects of the scatterers, is incorporated in the development of the phase matrices of the scatterers, which are modeled after the physical geometry of the plants. Ground truth measurements of rice fields were acquired at Sungai Burung, Selangor, Malaysia for an entire season. These measurements are used in the theoretical model to calculate the backscattering coefficients of rice fields. The results are then compared to those obtained from RADARSAT images to test the validity of the model. Comparisons show promising results, but further research is required to improve on the current model

Comportamento e bem-estar de peixe beta (Betta splendens) em aquário.

O trabalho será realizado no Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo/Campus Alegre, no laboratório de Nutrição e Produção de Espécies Ornamentais, localizado no município de Alegre, região Sul do estado do Espírito Santo, Brasil. Serão utilizados 70 exemplares machos de peixe Beta (Betta splendens) com idade entre 90 e 120 dias. Dos quais 15 exemplares de peixe Beta, machos adultos, com aproximadamente 90 dias serão manejados em aquário tipo cruzeta com quatro pontas de mesmo comprimento e distância do centro. Quatro testes serão realizados para analisar a preferência dos peixes quanto a tipo de (T1) substrato, de (T2) vegetações, de (T3) abrigos e de (T4) cores. Em cada teste será oferecido quatro tipos de preferências (P1, P2, P3 e P4) distribuídos aleatoriamente por sorteio. Serão analisados os comportamentos de frequência em cada preferência, duração em cada preferência e tempo de latência. No segundo trabalho serão utilizados 35 exemplares machos de peixe Beta com aproximadamente 90 dias distribuídos aleatoriamente em cinco tipos de alojamento (tratamentos); (T1) copos de 0,3 litros, (T2) beteiras 3 litros sem enriquecimento, (T3) beteiras 3 litros enriquecidas, (T4) aquários 38 litros sem enriquecimento e (T5) aquários 38 litros enriquecidos. Os comportamentos dos animais serão gravados durante todo o período experimental. Será realizado um total de dezesseis horas de observações para cada tratamento. Durante o mesmo período também será realizado observação focal durante cinco minutos intermitentes alternando entre os tratamentos no total de 150 minutos por período. Os comportamentos registrados serão organizados formando um etograma e comparados entre os diferentes tratamentos. No último trabalho serão utilizados os 35 exemplares machos de peixe Beta, advindos do experimento de enriquecimento, com aproximadamente 120 dias em aquário tipo labirinto. Localizado dentro do labirinto haverá quatro pontos; dois objetos estressores, espelho (E1) e predador (E2), e dois objetos recompensa ambiente enriquecido (R1) e alimento (R2). Comportamentos como lateralidade, latência, preferência, frequência e duração serão analisados durante 15 minutos na parta da manhã e 15 minutos na parte da tarde durante dois dias consecutivos. Então os animais terão cinco dias de descanso e retornarão ao labirinto para mais 15 minutos de observações comportamentais na parta da manhã e 15 minutos na parte da tarde durante dois dias consecutivos

Left Ventricular Global Longitudinal Strain in Patients with Moderate Aortic Stenosis

BackgroundModerate aortic stenosis (AS) is associated with an increased risk for adverse events. Although reduced left ventricular (LV) global longitudinal strain (GLS) is associated with worse outcomes in patients with severe AS, its prognostic value in patients with moderate AS is unknown. The aim of this study was to investigate the prognostic implications of LV GLS in patients with moderate AS.MethodsLV GLS was evaluated using speckle-tracking echocardiography in patients with moderate AS (aortic valve area 1.0-1.5 cm2) and reported as absolute (i.e., positive) values. Patients were divided into three groups: LV ejection fraction (LVEF) ResultsA total of 760 patients (mean age, 71 ± 12 years; 61% men) were analyzed. During a median follow-up period of 50 months (interquartile range, 26-94 months), 257 patients (34%) died. Patients with LVEF P P = .592). LV GLS discriminated higher risk patients even among those with LVEF ≥ 60% (P P P P ConclusionsIn patients with moderate AS, reduced LV GLS is associated with an increased risk for all-cause mortality, even if LVEF is still preserved.</p

The impact of atrial fibrillation on prognosis in aortic stenosis

Background Atrial fibrillation (AF) and aortic stenosis (AS) are both highly prevalent and often coexist. Various studies have focused on the prognostic value of AF in patients with AS, but rarely considered left ventricular (LV) diastolic function as a prognostic factor. Objective To evaluate the prognostic impact of AF in patients with AS while correcting for LV diastolic function. Methods Patients with first diagnosis of significant AS were selected and stratified according to history of AF. The endpoint was all-cause mortality. Results In total, 2849 patients with significant AS (mean age 72 +/- 12 years, 54.8% men) were evaluated, and 686 (24.1%) had a history of AF. During a median follow-up of 60 (30-97) months, 1182 (41.5%) patients died. Ten-year mortality rate in patients with AF was 46.8% compared to 36.8% in patients with sinus rhythm (SR) (log-rank P < 0.001). On univariable (HR: 1.42; 95% CI: 1.25-1.62; P < 0.001) and multivariable Cox regression analysis (HR: 1.19; 95% CI: 1.02-1.38; P = 0.026), AF was independently associated with mortality. However, when correcting for indexed left atrial volume, E/e' or both, AF was no longer independently associated with all-cause mortality. Conclusion Patients with significant AS and AF have a reduced survival as compared to patients with SR. Nonetheless, when correcting for markers of LV diastolic function, AF was not independently associated with outcomes in patients with significant AS.Cardiolog

The impact of atrial fibrillation on prognosis in aortic stenosis

Background: Atrial fibrillation (AF) and aortic stenosis (AS) are both highly prevalent and often coexist. Various studies have focused on the prognostic value of AF in patients with AS, but rarely considered left ventricular (LV) diastolic function as a prognostic factor. Objective: To evaluate the prognostic impact of AF in patients with AS while correcting for LV diastolic function. Methods: Patients with first diagnosis of significant AS were selected and stratified according to history of AF. The endpoint was all-cause mortality. Results: In total, 2849 patients with significant AS (mean age 72 +/- 12 years, 54.8% men) were evaluated, and 686 (24.1%) had a history of AF. During a median follow-up of 60 (30-97) months, 1182 (41.5%) patients died. Ten-year mortality rate in patients with AF was 46.8% compared to 36.8% in patients with sinus rhythm (SR) (log-rank P P P = 0.026), AF was independently associated with mortality. However, when correcting for indexed left atrial volume, E/e' or both, AF was no longer independently associated with all-cause mortality. Conclusion: Patients with significant AS and AF have a reduced survival as compared to patients with SR. Nonetheless, when correcting for markers of LV diastolic function, AF was not independently associated with outcomes in patients with significant AS.</p

Clostridium perfringens epsilon toxin increases the small intestinal permeability in mice and rats

Epsilon toxin is a potent neurotoxin produced by Clostridium perfringens types B and D, an anaerobic bacterium that causes enterotoxaemia in ruminants. In the affected animal, it causes oedema of the lungs and brain by damaging the endothelial cells, inducing physiological and morphological changes. Although it is believed to compromise the intestinal barrier, thus entering the gut vasculature, little is known about the mechanism underlying this process. This study characterizes the effects of epsilon toxin on fluid transport and bioelectrical parameters in the small intestine of mice and rats. The enteropooling and the intestinal loop tests, together with the single-pass perfusion assay and in vitro and ex vivo analysis in Ussing's chamber, were all used in combination with histological and ultrastructural analysis of mice and rat small intestine, challenged with or without C. perfringens epsilon toxin. Luminal epsilon toxin induced a time and concentration dependent intestinal fluid accumulation and fall of the transepithelial resistance. Although no evident histological changes were observed, opening of the mucosa tight junction in combination with apoptotic changes in the lamina propria were seen with transmission electron microscopy. These results indicate that C. perfringens epsilon toxin alters the intestinal permeability, predominantly by opening the mucosa tight junction, increasing its permeability to macromolecules, and inducing further degenerative changes in the lamina propria of the bowel. © 2009 Goldstein et al

Role of computed tomography imaging for transcatheter valvular repair/insertion

During the last decade, the development of transcatheter based therapies has provided feasible therapeutic options for patients with symptomatic severe valvular heart disease who are deemed inoperable. The promising results of many nonrandomized series and recent landmark trials have increased the number of percutaneous transcatheter valve procedures in high operative risk patients. Pre-procedural imaging of the anatomy of the aortic or mitral valve and their spatial relationships is crucial to select the most appropriate device or prosthesis and to plan the percutaneous procedure. Multidetector row computed tomography provides 3-dimensional volumetric data sets allowing unlimited plane reconstructions and plays an important role in pre-procedural screening and procedural planning. This review will describe the evolving role of multidetector row computed tomography in patient selection and strategy planning of transcatheter aortic and mitral valve procedures