gebhart/patrepeval huggingface dataset:
Using gaze gestures with haptic feedback on glasses (2014)

Wearable computing devices are gradually becoming common, and head-mounted devices such as Google Glass are already available. These devices present new interaction challenges as the devices are usually small in size, and also the usage environment sets limitations on the available interaction modalities. One potential interaction method could be to use gaze for input and haptics for output with a head-worn device. We built a demonstration system to show how gaze gestures could be used to control a simple information application together with head area haptic feedback for gesture confirmation. The demonstration and experiences of early user studies have shown that users perceive such an input-output combination useful.
A novel membrane glycoprotein capable of inhibiting membrane attack by homologous complement (1989)

Neuraminidase-treated human erythrocytes become sensitive to haemolysis by heterologous serum via activation of the alternative complement pathway (ACP), while remaining insensitive to homologous serum because of the presence of inhibitors on the cell membrane. We obtained a monoclonal antibody which renders the neuraminidase-treated erythrocytes sensitive to haemolysis by homologous human serum via the ACP. This antibody reacts with a 20 KDa membrane glycoprotein which interferes with the terminal stage of complement action on cell membranes. The 20 KDa protein is anchored to the membrane via phosphatidylinositol.
Reduction and Functionalization of Graphene Oxide Sheets Using Biomimetic Dopamine Derivatives in One Step (2012)

An easy and environmentally friendly chemical method for the simultaneous reduction and noncovalent functionalization of graphene oxide (GO) using dopamine derivatives is described. The reaction takes place at room temperature under ultrasonication of an aqueous suspension of GO and a dopamine derivative. X-ray photoelectron spectroscopy, FT-IR spectroscopy, and cyclic voltammetry characterizations revealed that the resulting material consists of graphene functionalized with the dopamine derivative. This one-step protocol is applied for simultaneous reduction and functionalization of graphene oxide with a dopamine derivative bearing an azide function. The chemical reactivity of the azide function was demonstrated by a postfunctionalization with ethynylferrocene using the Cu(I) catalyzed 1,3-dipolar cyloaddition.
ChemInform Abstract: THE PREPARATION AND PROPERTIES OF SOME DIPHOSPHINES R2PCH2CH2PR2 (R = ALKYL OR ARYL) AND OF THEIR RHENIUM(I) DINITROGEN DERIVATIVES (1985)

Abstract Die Darstellungen der Diphosphine (IIIa‐c) erfolgen wie aufgezeichnet ausgehend vom.
Fat Depots, Free Fatty Acids, and Dyslipidemia (2013)

Body fat deposition and excess free fatty acid (FFA) metabolism contribute to dyslipidemia and the adverse health consequences of obesity. Individuals with upper body obesity have impaired functioning of adipocytes, the primary fatty acid storage site. Excess visceral fat is strongly associated with impaired suppression of FFA release in response to insulin, as well as with hypertriglyceridemia and low concentrations of high density lipoprotein (HDL) cholesterol. High FFA concentrations can induce insulin resistance in muscle and liver. Furthermore, failure of hyperinsulinemia to normally suppress FFA is associated with impaired carbohydrate oxidation and muscle glucose storage, reduced hepatic insulin clearance and elevated triglycerides. Understanding the impact of body fat distribution on FFA metabolism and dyslipidemia is critical for determining the link between overweight and obesity and cardiovascular disease risk. In the current review, we will explore the relationship between adipose tissue, body fat depots, and FFA metabolism.
Designing Accelerator-Based Distributed Systems for High Performance (2010)

Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in some detail, the design and management of clusters based on these processors have not received the same focus. In this paper, we present an exploration of four design and resource management alternatives, which can be used on large-scale asymmetric clusters with accelerators. Moreover, we adapt the popular MapReduce programming model to our proposed configurations. We enhance MapReduce with new dynamic data streaming and workload scheduling capabilities, which enable application writers to use asymmetric accelerator-based clusters without being concerned with the capabilities of individual components. We present an evaluation of the presented designs in a physical setting and show that our designs can provide significant performance advantages. Compared to a standard static MapReduce design, we achieve 62.5%, 73.1%, and 82.2% performance improvement using accelerators with limited general-purpose resources, well-provisioned shared general-purpose resources, and well-provisioned dedicated general-purpose resources, respectively.
Peripheral Neurostimulation in Supraorbital Neuralgia Refractory to Conventional Therapy (2008)

Supraorbital neuralgia has been identified as an infrequent cause of headache that may prove very difficult to control pharmacologically. Peripheral nerve stimulation using electrodes to stimulate the nerve segmentally responsible for the zone of pain may constitute a management alternative in such cases. We present the case of a patient with headache because of posttraumatic supraorbital neuralgia, refractory to medical treatment, with good analgesic control after peripheral nerve stimulation. Peripheral nerve stimulation may be considered a safe, reversible treatment for patients with headache secondary to supraorbital neuralgia who respond poorly to pharmacological treatment, thus avoiding irreversible alternatives such as surgery.
Antimicrobial Activity of Native and Synthetic Surfactant Protein B Peptides (2006)

Surfactant protein B (SP-B) is secreted into the airspaces with surfactant phospholipids where it reduces surface tension and prevents alveolar collapse at end expiration. SP-B is a member of the saposin-like family of proteins, several of which have antimicrobial properties. SP-B lyses negatively charged liposomes and was previously reported to inhibit the growth of Escherichia coli in vitro; however, a separate study indicated that elevated levels of SP-B in the airspaces of transgenic mice did not confer resistance to infection. The goal of this study was to assess the antimicrobial properties of native SP-B and synthetic peptides derived from the native peptide. Native SP-B aggregated and killed clinical isolates of Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and group B streptococcus by increasing membrane permeability; however, SP-B also lysed RBC, indicating that the membranolytic activity was not selective for bacteria. Both the antimicrobial and hemolytic activities of native SP-B were inhibited by surfactant phospholipids, suggesting that endogenous SP-B may not play a significant role in alveolar host defense. Synthetic peptides derived from native SP-B were effective at killing both Gram-positive and Gram-negative bacteria at low peptide concentrations (0.15-5.0 microM). The SP-B derivatives selectively lysed bacterial membranes and were more resistant to inhibition by phospholipids; furthermore, helix 1 (residues 7-22) retained significant antimicrobial activity in the presence of native surfactant. These results suggest that the role of endogenous SP-B in host defense may be limited; however, synthetic peptides derived from SP-B may be useful in the treatment of bacterial pneumonias.
Tetraoxolene radical stabilization by the interaction with transition-metal ions (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTetraoxolene radical stabilization by the interaction with transition-metal ionsAndrea Dei, Dante Gatteschi, Luca Pardi, and Umberto RussoCite this: Inorg. Chem. 1991, 30, 12, 2589–2594Publication Date (Print):June 1, 1991Publication History Published online1 May 2002Published inissue 1 June 1991https://pubs.acs.org/doi/10.1021/ic00012a006https://doi.org/10.1021/ic00012a006research-articleACS PublicationsRequest reuse permissionsArticle Views876Altmetric-Citations87LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
STUDIES ON THE DEVELOPMENT OF DEVIATION OF NASAL SEPTUM (1960)

Nasal septi of 36 embryos and 8326 cases of all age groups from sucklings to adults in South Kyushu district were examined and, the following results were obtained.1. Septi in embryos.Deformation was recognized in 6 cases out of 36 embryos (16.6% in 2 cases on the left, and in 4 cases on the right).These deformities were mostly slight C-deviation and deviations were observed in the posterior portion of septum in most cases.2. Septi in sucklings and adults.a) Frequency of the deformity was 20% in sucklings and ascended linealy afterwards, until the age of fifteen. After this age, it increased gradually and reached to peak of 90.6% at the age of forty-five to forty-nine in man and of 77.0% at the age of thirty to thirty-four in woman, and no change in the incidence was recognized in older agegroups.Sexual difference was not recognized until the age of fifteen but after that age, more deviation was seen in man than in woman.b) Slight deformity was observed at the rate of 30 to 40%.Middle grade deformity was seen in less than 15% in children under the age of nine but after the age of twelve it increasedd gradually and ranging 20 to 35%.Severe deformity was seen in less than 5% until the age of forteen but after that age it was seen in 10 to 20% in man and in about 10% in woman.c) In youth, the deformity was in Crista in 30%, upper deviation and foward backward devia-tion in 20%, < deviation, C-type deviation, lower deviation, and forward lower ridge in 10% respectively, in Spur in less than 10%, and complex type and S-type deviation in less than 5%.Spur, S-type deviation, upper deviation, and complex type began to appear at about the age of twelve to thirteen and at the same age, crista and upper deviation increased remarkably and complicacy also increased.
Robust Graph Convolutional Networks Against Adversarial Attacks (2019)

Graph Convolutional Networks (GCNs) are an emerging type of neural network model on graphs which have achieved state-of-the-art performance in the task of node classification. However, recent studies show that GCNs are vulnerable to adversarial attacks, i.e. small deliberate perturbations in graph structures and node attributes, which poses great challenges for applying GCNs to real world applications. How to enhance the robustness of GCNs remains a critical open problem. To address this problem, we propose Robust GCN (RGCN), a novel model that "fortifies'' GCNs against adversarial attacks. Specifically, instead of representing nodes as vectors, our method adopts Gaussian distributions as the hidden representations of nodes in each convolutional layer. In this way, when the graph is attacked, our model can automatically absorb the effects of adversarial changes in the variances of the Gaussian distributions. Moreover, to remedy the propagation of adversarial attacks in GCNs, we propose a variance-based attention mechanism, i.e. assigning different weights to node neighborhoods according to their variances when performing convolutions. Extensive experimental results demonstrate that our proposed method can effectively improve the robustness of GCNs. On three benchmark graphs, our RGCN consistently shows a substantial gain in node classification accuracy compared with state-of-the-art GCNs against various adversarial attack strategies.
Eine Methode zum High-Throughput-Screening von enantioselektiven Katalysatoren (1999)

Etwa 1000 katalytische oder stöchiometrische asymmetrische Reaktionen racemischer Verbindungen oder prochiraler Substrate mit enantiotopen Gruppen können durch Verwendung von ESI-MS und isotopenmarkierten Substraten an nur einem Tag bestimmt werden. Gezeigt ist das Massenspektrum der Mischung, die bei der Hydrolyse von 1 erhalten wird, bei der die pseudo-enantiomeren Produkte 2 und 3 entstehen.
Multiobjective Control of Power Plants Using Particle Swarm Optimization Techniques (2006)

Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set point in a fossil fuel power unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, particle swarm optimization (PSO), to realize the optimal mapping by searching for the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. This approach provides the means to specify optimal set points for controllers under a diversity of operating scenarios. Variations of the PSO technique, hybrid PSO, evolutionary PSO, and constriction factor approach are applied to the FFPU, and the comparison is made among the PSO techniques and genetic algorithm.
Lower overhead design for testability of programmable logic arrays (1984)

A new technique for designing easily testable PLAs is presented. The salient features of this technique are: 1) low overhead, 2) high fault coverage, 3) simple design, 4) little or no impact on normal operation of PLA and 5) elimination of the need for test pattern generation. This technique consists of the addition of a small number of bit lines in such a way that, in test mode, any single product line can be activated and its associated circuitry and dev ices tested. Using this technique all multiple stuck-at faults, as well as all multiple extra and multiple missing device faults, are detected.
Physical Human Activity Recognition Using Wearable Sensors (2015)

This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors' placement, data pre-processing and data classification. Four supervised classification techniques namely, k-Nearest Neighbor (k-NN), Support Vector Machines (SVM), Gaussian Mixture Models (GMM), and Random Forest (RF) as well as three unsupervised classification techniques namely, k-Means, Gaussian mixture models (GMM) and Hidden Markov Model (HMM), are compared in terms of correct classification rate, F-measure, recall, precision, and specificity. Raw data and extracted features are used separately as inputs of each classifier. The feature selection is performed using a wrapper approach based on the RF algorithm. Based on our experiments, the results obtained show that the k-NN classifier provides the best performance compared to other supervised classification algorithms, whereas the HMM classifier is the one that gives the best results among unsupervised classification algorithms. This comparison highlights which approach gives better performance in both supervised and unsupervised contexts. It should be noted that the obtained results are limited to the context of this study, which concerns the classification of the main daily living human activities using three wearable accelerometers placed at the chest, right shank and left ankle of the subject.
Graphene-Based Nano-Electro-Mechanical Switch with High On/Off Ratio (2013)

Locally defined nanomembrane structures can be produced in graphene films on a SiC substrate with atomic steps. The contact conductance between graphene and a metal-coated nanoprobe in scanning probe microscopy can be drastically reduced by inducing local buckling of the membranes. Repeatable current switching with high reproducibility can be realized. The on/off ratio can be varied from about 105 to below 10 by changing the contact force. At a low contact force, the contact conductance changes from 10 µS ("ON" state) to 100 pS ("OFF" state). This novel device structure could represent a new path to electrical switching at the nanoscale.
Apriori-based algorithms for k m -anonymizing trajectory data (2015)

The proliferation of GPS-enabled devices (e.g., smartphones and tablets) and locationbased social networks has resulted in the abundance of trajectory data. The publication of such data opens up new directions in analyzing, studying and understanding human behavior. However, it should be performed in a privacy-preserving way, because the identities of individuals, whose movement is recorded in trajectories, can be disclosed even after removing identifying information. Existing trajectory data anonymization approaches offer privacy but at a high data utility cost, since they either do not produce truthful data (an important requirement of several applications), or are limited in their privacy specification component. In this work, we propose a novel approach that overcomes these shortcomings by adapting km-anonymity to trajectory data. To realize our approach, we develop three efficient and effective anonymization algorithms that are based on the apriori principle. These algorithms aim at preserving different data characteristics, including location distance and semantic similarity, as well as user-specified utility requirements, which must be satisfied to ensure that the released data can be meaningfully analyzed. Our extensive experiments using synthetic and real datasets verify that the proposed algorithms are efficient and effective at preserving data utility.
Rigorous electromagnetic field simulation of two-beam interference exposures for the exploration of double patterning and double exposure scenarios (2008)

The introduction of double patterning and double exposure technologies, especially in combination with hyper NA, increases the importance of wafer topography phenomena. Rigorous electromagnetic field (EMF) simulations of two beam interference exposures over non-planar wafers are used to explore the impact of the hardmask material and pattern on resulting linewidths and swing curves after the second lithography step. Moreover, the impact of the optical material contrast between the frozen and unfrozen resist in a pattern freezing process and the effect of a reversible contrast enhancement layer on the superposition of two subsequent lithographic exposures are simulated. The described simulation approaches can be used for the optimization of wafer stack configurations for double patterning and to identify appropriate optical material properties for alternative double patterning and double exposure techniques.
Modelling of Impulsional pH Variations Using ChemFET-Based Microdevices: Application to Hydrogen Peroxide Detection (2014)

This work presents the modelling of impulsional pH variations in microvolume related to water-based electrolysis and hydrogen peroxide electrochemical oxidation using an Electrochemical Field Effect Transistor (ElecFET) microdevice. This ElecFET device consists of a pH-Chemical FET (pH-ChemFET) with an integrated microelectrode around the dielectric gate area in order to trigger electrochemical reactions. Combining oxidation/reduction reactions on the microelectrode, water self-ionization and diffusion properties of associated chemical species, the model shows that the sensor response depends on the main influential parameters such as: (i) polarization parameters on the microelectrode, i.e., voltage (Vp) and time (t(p)); (ii) distance between the gate sensitive area and the microelectrode (d); and (iii) hydrogen peroxide concentration ([H2O2]). The model developed can predict the ElecFET response behaviour and creates new opportunities for H2O2-based enzymatic detection of biomolecules.
Isozymic Characteristics of Multiple-Ear and Tiller Maize Lines (1987)

This experiment was conducted to determine the isozymic differences between normal maize and maize inbreds of multiple ears and tillers (MET). Two maize inbreds Euisung, Iri and their hybrid having tillers and multiple ears were compared with normal maize. With usual electrophoresis using 6% polyacrylamide gel, peroxidase and esterase enzymes were studied. Matured leaf, culm, leaf sheath, root and young ear tissues showed different isozymic patterns between METs and normal maize in peroxidase. The Euisung inbred grown for 7 days under dark condition showed typical peroxidase. bands compared with checks in the tissues of coleoptile and stele. Better observation of isozymic bands was made during early part of maize growth. Parental inbreds showed more active and apparent band differences than their hybrids in esterase. Bands for esterase were also apparently different in the stele, coleoptile and young ear tissues of the METs and the checks. The maize lines infected with black streaked dwarf virus showed obvious differences in peroxidase and esterase isozymes.
Effects of dissolved organic carbon and salinity on bioavailability of mercury (1997)

Hypotheses that dissolved organic carbon (DOC) and electrochemical charge affect the rate of methylmercury [CH3Hg(I)] synthesis by modulating the availability of ionic mercury [Hg(II)] to bacteria were tested by using a mer-lux bioindicator (O. Selifonova, R. Burlage, and T. Barkay, Appl. Environ. Microbiol. 59:3083-3090, 1993). A decline in Hg(II)-dependent light production was observed in the presence of increasing concentrations of DOC, and this decline was more pronounced at pH 7 than at pH 5, suggesting that DOC is a factor controlling the bioavailability of Hg(II). A thermodynamic model (MINTEQA2) was used to select assay conditions that clearly distinguished among various Hg(II) species. By using this approach, it was shown that negatively charged forms of mercuric chloride (HgCl3-/HgCl(4)2-) induced less light production than the electrochemically neutral form (HgCl2), and no difference was observed between the two neutral forms, HgCl2 and Hg(OH)2. These results suggest that the negative charge of Hg(II) species reduces their availability to bacteria and may be one reason why accumulation of CH3Hg(I) is more often reported to occur in freshwater than in estuarine and marine biota.