1,726 research outputs found
Conceptual and socio-cognitive support for collaborative learning in videoconferencing environments
Studies have shown that videoconferences are an effective medium for facilitating communication between parties who are separated by distance. Furthermore, studies reveal that videoconferences are effective when used for distance learning, particularly when learners are engaged in complex collaborative learning tasks. However, as in face-to-face communication, learners benefit most when they receive additional support for such learning tasks. This article provides an overview of three empirical studies to illustrate more general insights regarding some of the more and less effective ways of supporting collaborative learning with videoconferencing. The focus is on conceptual support, such as structural visualization and socio-cognitive support, such as scripts. Based on the results of the three studies, conclusions can be drawn about the conceptual and socio-cognitive support measures that promote learning. Conclusions can also be reached about the need for employing both conceptual and socio-cognitive support to provide learners with the most benefit
Fritz Stern (1926–2016)
Well respected in America and beyond, but a household name in Germany, not least because of his published conversations with former Chancellor Helmut Schmidt, Fritz Stern dedicated his life's work to the study of the cultural history—a blending of intellectual and political history—of modern Germany and Europe. “Why and how did the universal human potential for evil become an actuality in Germany?” was the “burning question” he sought to answer and the “fragility of freedom” was, as he put it, “the simplest and deepest lesson of [his] life.” Apart from studying history, Fritz Stern also made history, when he advised the British Prime Minister (Margaret Thatcher) on German reunification, or the American Ambassador to reunified Germany (Richard Holbrook) shortly after the “fifth Germany” that Stern had known came about (unless otherwise noted, the quotes herein are taken from Fritz Stern's autobiography entitled Five Germanys I have Known). Fritz Stern's insights into the workings of both liberalism and illiberalism were based on his profound historical case studies of politics and finance during the “long” 19th century that also encompassed little-known ideologues involved in preparing the soil for the rise of Nazism and its anti-Semitism. Well aware that Germany's rise to preeminence on the world stage following the unification of 1871 was rooted in its scientific-technological culture, Fritz Stern created a portrait gallery of the key protagonists of that “age of genius”: Paul Ehrlich, Albert Einstein, Fritz Haber, Max Planck, Walter Rathenau, Chaim Weizmann. These portraits were drawn with a personal touch, enabled by Fritz Stern's family lineage
Surface-enhanced Raman scattering from surface and subsurface oxygen species at microscopically well-defined Ag surfaces
Ag(111) and Ag(110) surfaces exposed to oxygen at elevated temperatures (∼800 K) exhibit strongly enhanced Raman bands at 803 and 627 cm−1 which are attributed to O atoms strongly chemisorbed on the surface (Oγ) or held in subsurface sites (Oβ), respectively. In contrast to usual experience, surface-enhanced Raman scattering is occurring here under well-defined conditions up to temperatures of 900 K which is attributed to the joint operation of delocalized electromagnetic enhancement (caused by surface roughness provided by oxygen-induced faceting) and local resonance due to the particular electronic properties of the surface sites
Small Force, Big Impact: Next Generation Organ-on-a-Chip Systems Incorporating Biomechanical Cues
Mechanobiology-on-a-chip is a growing field focusing on how mechanical inputs modulate physico-chemical output in microphysiological systems. It is well known that biomechanical cues trigger a variety of molecular events and adjustment of mechanical forces is therefore essential for mimicking in vivo physiologies in organon-a-chip technology. Biomechanical inputs in organ-on-a-chip systems can range from variations in extracellular matrix type and stiffness and applied shear stresses to active stretch/strain or compression forces using integrated flexible membranes. The main advantages of these organ-on-a-chip systems are therefore (a) the control over spatiotemporal organization of in vivo-like tissue architectures, (b) the ability to precisely control the amount, duration and intensity of the biomechanical stimuli, and (c) the capability of monitoring in real time the effects of applied mechanical forces on cell, tissue and organ functions. Consequently, over the last decade a variety of microfluidic devices have been introduced to recreate physiological microenvironments that also account for the influence of physical forces on biological functions. In this review we present recent advances in mechanobiological lab-on-a-chip systems and report on lessons learned from these current mechanobiological models. Additionally, future developments needed to engineer next-generation physiological and pathological organ-on-a-chip models are discussed
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines
Purpose: As an important branch of machine learning pipelines in medical
imaging, radiomics faces two major challenges namely reproducibility and
accessibility. In this work, we introduce open-radiomics, a set of radiomics
datasets along with a comprehensive radiomics pipeline based on our proposed
technical protocol to investigate the effects of radiomics feature extraction
on the reproducibility of the results.
Materials and Methods: Experiments are conducted on BraTS 2020 open-source
Magnetic Resonance Imaging (MRI) dataset that includes 369 adult patients with
brain tumors (76 low-grade glioma (LGG), and 293 high-grade glioma (HGG)).
Using PyRadiomics library for LGG vs. HGG classification, 288 radiomics
datasets are formed; the combinations of 4 MRI sequences, 3 binWidths, 6 image
normalization methods, and 4 tumor subregions.
Random Forest classifiers were used, and for each radiomics dataset the
training-validation-test (60%/20%/20%) experiment with different data splits
and model random states was repeated 100 times (28,800 test results) and Area
Under Receiver Operating Characteristic Curve (AUC) was calculated.
Results: Unlike binWidth and image normalization, tumor subregion and imaging
sequence significantly affected performance of the models. T1 contrast-enhanced
sequence and the union of necrotic and the non-enhancing tumor core subregions
resulted in the highest AUCs (average test AUC 0.951, 95% confidence interval
of (0.949, 0.952)). Although 28 settings and data splits yielded test AUC of 1,
they were irreproducible.
Conclusion: Our experiments demonstrate the sources of variability in
radiomics pipelines (e.g., tumor subregion) can have a significant impact on
the results, which may lead to superficial perfect performances that are
irreproducible
Differences in intestinal size, structure, and function contributing to feed efficiency in broiler chickens reared at geographically distant locations
The contribution of the intestinal tract to differences in residual feed intake (RFI) has been inconclusively studied in chickens so far. It is also not clear if RFI-related differences in intestinal function are similar in chickens raised in different environments. The objective was to investigate differences in nutrient retention, visceral organ size, intestinal morphology, jejunal permeability and expression of genes related to barrier function, and innate immune response in chickens of diverging RFI raised at 2 locations (L1: Austria; L2: UK). The experimental protocol was similar, and the same dietary formulation was fed at the 2 locations. Individual BW and feed intake (FI) of chickens (Cobb 500FF) were recorded from d 7 of life. At 5 wk of life, chickens (L1, n = 157; L2 = 192) were ranked according to their RFI, and low, medium, and high RFI chickens were selected (n = 9/RFI group, sex, and location). RFI values were similar between locations within the same RFI group and increased by 446 and 464 g from low to high RFI in females and males, respectively. Location, but not RFI rank, affected growth, nutrient retention, size of the intestine, and jejunal disaccharidase activity. Chickens from L2 had lower total body weight gain and mucosal enzyme activity but higher nutrient retention and longer intestines than chickens at L1. Parameters determined only at L1 showed increased crypt depth in the duodenum and jejunum and enhanced paracellular permeability in low vs. high RFI females. Jejunal expression of IL1B was lower in low vs. high RFI females at L2, whereas that of TLR4 at L1 and MCT1 at both locations was higher in low vs. high RFI males. Correlation analysis between intestinal parameters and feed efficiency metrics indicated that feed conversion ratio was more correlated to intestinal size and function than was RFI. In conclusion, the rearing environment greatly affected intestinal size and function, thereby contributing to the variation in chicken RFI observed across locations
Femtosecond Surface Vibrational Spectroscopy of CO Adsorbed on Ru(001) during Desorption
Using time-resolved sum-frequency generation spectroscopy, the C-O stretch vibration of carbon monoxide adsorbed on a single-crystal Ru(001) surface is investigated during femtosecond near-IR laser excitation leading to desorption. A large transient redshift, a broadening of the resonance, and a strong decrease in intensity are observed. These originate from coupling of the C-O stretch to low-frequency modes, especially the frustrated rotation, that are highly excited in the desorption process
VOLT: a novel open-source pipeline for automatic segmentation of endolymphatic space in inner ear MRI
BACKGROUND Objective and volumetric quantification is a necessary step in the assessment and comparison of endolymphatic hydrops (ELH) results. Here, we introduce a novel tool for automatic volumetric segmentation of the endolymphatic space (ELS) for ELH detection in delayed intravenous gadolinium-enhanced magnetic resonance imaging of inner ear (iMRI) data.
METHODS The core component is a novel algorithm based on Volumetric Local Thresholding (VOLT). The study included three different data sets: a real-world data set (D1) to develop the novel ELH detection algorithm and two validating data sets, one artificial (D2) and one entirely unseen prospective real-world data set (D3). D1 included 210 inner ears of 105 patients (50 male; mean age 50.4 ± 17.1 years), and D3 included 20 inner ears of 10 patients (5 male; mean age 46.8 ± 14.4 years) with episodic vertigo attacks of different etiology. D1 and D3 did not differ significantly concerning age, gender, the grade of ELH, or data quality. As an artificial data set, D2 provided a known ground truth and consisted of an 8-bit cuboid volume using the same voxel-size and grid as real-world data with different sized cylindrical and cuboid-shaped cutouts (signal) whose grayscale values matched the real-world data set D1 (mean 68.7 ± 7.8; range 48.9-92.8). The evaluation included segmentation accuracy using the Sørensen-Dice overlap coefficient and segmentation precision by comparing the volume of the ELS.
RESULTS VOLT resulted in a high level of performance and accuracy in comparison with the respective gold standard. In the case of the artificial data set, VOLT outperformed the gold standard in higher noise levels. Data processing steps are fully automated and run without further user input in less than 60 s. ELS volume measured by automatic segmentation correlated significantly with the clinical grading of the ELS (p < 0.01).
CONCLUSION VOLT enables an open-source reproducible, reliable, and automatic volumetric quantification of the inner ears' fluid space using MR volumetric assessment of endolymphatic hydrops. This tool constitutes an important step towards comparable and systematic big data analyses of the ELS in patients with the frequent syndrome of episodic vertigo attacks. A generic version of our three-dimensional thresholding algorithm has been made available to the scientific community via GitHub as an ImageJ-plugin
Effects of the Selective Serotonin Reuptake Inhibitor Fluoxetine on Counterregulatory Responses to Hypoglycemia in Individuals With Type 1 Diabetes
OBJECTIVE—Previous work has demonstrated that chronic administration of the serotonin reuptake inhibitor (SSRI) fluoxetine augments counterregulatory responses to hypoglycemia in healthy humans. However, virtually no information exists regarding the effects of fluoxetine on integrated physiological counterregulatory responses during hypoglycemia in type 1 diabetes. Therefore, the specific aim of this study was to test the hypothesis that 6-week use of the SSRI fluoxetine would amplify autonomic nervous system (ANS) counterregulatory responses to hypoglycemia in individuals with type 1 diabetes
Beyond binary parcellation of the vestibular cortex - A dataset
The data-set presented in this data article is supplementary to the original publication, doi:10.1016/j.neuroimage.2018.05.018 (Kirsch et al., 2018). Named article describes handedness-dependent organizational patterns of functional subunits within the human vestibular cortical network that were revealed by functional magnetic resonance imaging (fMRI) connectivity parcellation. 60 healthy volunteers (30 left-handed and 30 right-handed) were examined on a 3T MR scanner using resting state fMRI. The multisensory (non-binary) nature of the human (vestibular) cortex was addressed by using masked binary and non-binary variations of independent component analysis (ICA). The data have been made publicly available via github (https://github.com/RainerBoegle/BeyondBinar yParcellationData). (C) 2019 The Authors. Published by Elsevier Inc
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