gebhart/patrepeval huggingface dataset:
A convenient new analysis of dihydroxyacetone and methylglyoxal applied to Australian Leptospermum honeys (2012)

New Zealand mAnuka (Leptospermum scoparium) honey is known to exhibit non-peroxide antibacterial activity caused by the active ingredient methylglyoxal which arises by chemical conversion of dihydroxyacetone during honey maturation. This study determines whether methylglyoxal and dihydroxyacetone are present in Australian Leptospermumhoneys. This research developed a rapid and sensitive high-performance liquid chromatographic method for the concurrent analysis of methylglyoxal and dihydroxyacetone in honeys. Both compounds were quantified as their O-(2, 3, 4, 5, 6-pentafluorobenzyl) hydroxylamine. HCl derivatives on single run reversed phase high-performance liquid chromatography with diode array detection. Four species of monofloral Leptospermum honeys sourced from Northern Rivers Region, New South Wales, Australia contained methylglyoxal and dihydroxyacetone. The highest methylglyoxal concentrations were found in Leptospermum polygalifolium honeys.

	 

	Key words: High-performance liquid chromatography, dihydroxyacetone; methylglyoxal,Leptospermum, honey, mAnuka.
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform (2018)

We tackle the challenge of understanding voice queries posed against the Comcast Xfinity X1 entertainment platform, where consumers direct speech input at their "voice remotes". Such queries range from specific program navigation (i.e., watch a movie) to requests with vague intents and even queries that have nothing to do with watching TV. We present successively richer neural network architectures to tackle this challenge based on two key insights: The first is that session context can be exploited to disambiguate queries and recover from ASR errors, which we operationalize with hierarchical recurrent neural networks. The second insight is that query understanding requires evidence integration across multiple related tasks, which we identify as program prediction, intent classification, and query tagging. We present a novel multi-task neural architecture that jointly learns to accomplish all three tasks. Our initial model, already deployed in production, serves millions of queries daily with an improved customer experience. The novel multi-task learning model, first described here, is evaluated through carefully-controlled laboratory experiments, which demonstrates further gains in effectiveness and increased system capabilities.
Robust Control and Diagnostic Strategies for Xerographic Printing (2000)

In this paper, we outline two strategies for the maintainence and optimization of the printing quality of xerographic systems. The first strategy is concerned with the management of the effect of disturbances and system variations in the context of control of the tone reproduction curve via a robust control methodology. The second strategy deals with larger scale faults and capability degradation in the xerographic process. In this case, a Bayesian Network based diagnostics strategy is proposed to detect the fault state and the state of the capability of the printer. Based on these, the controller be can reconfigured so as to optimize the printer's performance under degraded mode.
Self-synchronized encoding and decoding algorithms based on code signal feature (2017)

Synchronization of all constituent units must be provided in all digital data transmission systems with a serial synchronous interface, primarily of encoding and decoding devices. This work investigates the method and algorithms of information reception and transmission based on using of code signal feature that do not require the application of error-correcting codes and special measures for synchronization ensuring. Special feature of the developed algorithms is the representation of each discharge symbol of the primary error-correcting code in the form of binary sequences, transmitted over a communication channel in the form of pulses series conditionally infinitely small duration rigidly interconnected by fixed time intervals that are multiple to certain time delay. The paper shows that the suggested method of transmission has the properties of self-synchronization, and significantly increases the information reliability of the system.
The Green Design of Agricultural Machinery (2007)

As the speedy development of National economy, the problem of resource and environment becomes increasing stand out. It is durative developmental strategy that can effectively resolve the problem. The paper simply analyzes the problems in the design of agricultural machinery. The main content of green design of agricultural machinery is discussed and the significance has been analyzed in this paper. It also has been pointed out that it is certain that green design is the development trend of agricultural machinery for a big agricultural country.
A real-time atmospheric turbulence mitigation and super-resolution solution for infrared imaging systems (2012)

Imagery acquired with modern imaging systems is susceptible to a variety of degradations, including blur from the point spread function (PSF) of the imaging system, aliasing from undersampling, blur and warping from atmospheric turbulence, and noise. A variety of image restoration methods have been proposed that estimate an improved image by processing a sequence of these degraded images. In particular, multi-frame image restoration has proven to be a particularly powerful tool for atmospheric turbulence mitigation (TM) and super-resolution (SR). However, these degradations are rarely addressed simultaneously using a common algorithm architecture, and few TM or SR solutions are capable of performing robustly in the presence of true scene motion, such as moving dismounts. Still fewer TM or SR algorithms have found their way into practical real-time implementations. In this paper, we describe a new L-3 joint TM and SR (TMSR) real-time processing solution and demonstrate its capabilities. The system employs a recently developed versatile multi-frame joint TMSR algorithm that has been implemented using a real-time, low-power FPGA processor system. The L-3 TMSR solution can accommodate a wide spectrum of atmospheric conditions and can robustly handle moving vehicles and dismounts. This novel approach unites previous work in TM and SR and also incorporates robust moving object detection. To demonstrate the capabilities of the TMSR solution, results using field test data captured under a variety of turbulence levels, optical configurations, and applications are presented. The performance of the hardware implementation is presented, and we identify specific insertion paths into tactical sensor systems.
Artistic effect and application of moiré patterns in security holograms (1995)

Using a special holographic technique, moiré patterns can be recorded with a horizontal parallax, thus producing a fascinating artistic effect. With special characteristics, holographic moiré patterns can be used as secret codes in security holograms for different security purposes. Aremarkable anticounterfeit effect has been achieved by using this kind of security hologram to protect famous high-quality products. The technique used for recording moiré patterns is described, and sample holograms are shown.
P‐71: Dynamic Drive Scheme for Fast Addressing of Cholesteric Displays (2000)

Abstract In this paper we have proposed the dynamic drive scheme for cholesteric liquid crystal displays (ChLCD) with high information content. Hysteresis properties of cholesteric liquid crystals (ChLC) combined with the fast transition of ChLC from the homeotropic state to the transient planar state are used for fast addressing. Schematic representation of voltage waveforms on rows, columns and resultant across pixels of a display is presented. In this dynamic drive scheme the time required for record of one display row in 4–5 times lower than the time of transition of ChLC material from the homeotropic state to the transient planar state.
Phase plane analysis tools for a class of fuzzy control systems (2003)

It is shown how linguistic system analysis can be extended to include fuzzy set definitions and can be applied to systems that are dominated by second-order process dynamics. This produces a graphical analysis tool, similar to the algebraic phase plane approach, for considering overall system performance. Using this technique the response of a rule-based system can be investigated and the influence of individual rules on overall performance can be determined, allowing a stability analysis to be carried out directly on the rule-based system. Two simple application examples show how this technique could be used. In particular, a controller design example demonstrates how trial and error methods can be removed from the controller design process and how stability analysis can be performed directly on the rule-based system.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Halorhabdus utahensis gen. nov., sp. nov., an aerobic, extremely halophilic member of the Archaea from Great Salt Lake, Utah. (2000)

Strain AX-2T (T = type strain) was isolated from sediment of Great Salt Lake, Utah, USA. Optimal salinity for growth was 27% (w/v) NaCl and only a few carbohydrates supported growth of the strain. Strain AX-2T did not grow on complex substrates such as yeast extract or peptone. 16S rRNA analysis revealed that strain AX-2T was a member of the phyletic group defined by the family Halobacteriaceae, but there was a low degree of similarity to other members of this family. The polar lipid composition comprising phosphatidyl glycerol, the methylated derivative of diphosphatidyl glycerol, triglycosyl diethers and sulfated triglycosyl diethers, but not phosphatidyl glycerosulfate, was not identical to that of any other aerobic, halophilic species. On the basis of the data presented, it is proposed that strain AX-2T should be placed in a new taxon, for which the name Halorhabdus utahensis is appropriate. The type strain is strain AX-2T (= DSM 12940T).
Electrical and thermal modulation of silicon photonic bandgap microcavities containing liquid crystals (2005)

Electrical and thermal modulation of porous silicon microcavities is demonstrated based on a change in the refractive index of liquid crystals infiltrated in the porous silicon matrix. Positive and negative anisotropy liquid crystals are investigated, leading to controllable tuning to both longer and shorter wavelengths. Extinction ratios greater than 10 dB have been demonstrated. Larger attenuation can be achieved by increasing the Q-factor of the microcavities.
Reconstitution of functional influenza virus envelopes and fusion with membranes and liposomes lacking virus receptors (1987)

Reconstituted influenza virus envelopes were obtained following solubilization of intact virions with Triton X-100. Quantitative determination revealed that the hemolytic and fusogenic activities of the envelopes prepared by the present method were close or identical to those expressed by intact virions. Hemolysis as well as virus-membrane fusion occurred only at low pH values, while both activities were negligible at neutral pH values. Fusion of intact virions as well as reconstituted envelopes with erythrocyte membranes--and also with liposomes--was determined by the use of fluorescently labeled viral envelopes and fluorescence dequenching measurements. Fusion with liposomes did not require the presence of specific virus receptors, namely sialoglycolipids. Under hypotonic conditions, influenza virions or their reconstituted envelopes were able to fuse with erythrocyte membranes from which virus receptors had been removed by treatment with neuraminidase and pronase. Inactivated intact virions or reconstituted envelopes, namely, envelopes treated with hydroxylamine or glutaraldehyde or incubated at low pH or 85 degrees C, neither caused hemolysis nor possessed fusogenic activity. Fluorescence dequenching measurements showed that only fusion with liposomes composed of neutral phospholipids and containing cholesterol reflected the viral fusogenic activity needed for infection.
Transforming classifier scores into accurate multiclass probability estimates (2002)

Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decision-making, such as example-dependent misclassification costs, the outputs of other classifiers, or domain knowledge. Previous calibration methods apply only to two-class problems. Here, we show how to obtain accurate probability estimates for multiclass problems by combining calibrated binary probability estimates. We also propose a new method for obtaining calibrated two-class probability estimates that can be applied to any classifier that produces a ranking of examples. Using naive Bayes and support vector machine classifiers, we give experimental results from a variety of two-class and multiclass domains, including direct marketing, text categorization and digit recognition.
Computer-assisted therapy for medication-resistant auditory hallucinations: proof-of-concept study (2013)

Avatar therapy represents a promising treatment for medication-resistant auditory hallucinations. Replication with a larger sample is required before roll-out to clinical settings.
A pulse shape restore method for event localization in PET scintillation detection (2005)

Localizing gamma-ray events accurately and performing pileup rejection/correction functions are desirable in positron-emission-tomography (PET) front-end electronics development. Two techniques, the traditional analog integration with charge-sensitive amplifiers and the recent digital integration by using free-running analog-to-digital converters (ADCs), are the typical methods to obtain the event energy and position information. Pileup issues have been extensively investigated in both these techniques. In this new study, a pulse-shape-restore (PSR) method for event localization is presented. From each PET scintillation detector, a photo-sensor current output signal is amplified then conditioned by a filter. Subsequently the signal is digitized with a fast sampling free-running ADC. The digitized signal is finally processed in a Field Programmable Gate Array (FPGA) by using a numerical line fitting method to restore the signal to its theoretic shape. The event energy is directly obtained from the restored pulse shape rather than from the integration calculation. With the PSR method, we may enhance the event localization accuracy and improve the signal energy resolution. Moreover, the PSR method will be implemented as a pileup rejection /correction algorithm to improve the detector count-rate ability and reduce the gamma ray mispositioning in high count-rate conditions
Casein Kinase 1 Epsilon Regulates Glioblastoma Cell Survival (2018)

Glioblastoma is the most common malignant brain cancer with a dismal prognosis. The difficulty in treating glioblastoma is largely attributed to the lack of effective therapeutic targets. In our previous work, we identified casein kinase 1 ε (CK1ε, also known as CSNK1E) as a potential survival factor in glioblastoma. However, how CK1ε controls cell survival remains elusive and whether targeting CK1ε is a possible treatment for glioblastoma requires further investigation. Here we report that CK1ε was expressed at the highest level among six CK1 isoforms in glioblastoma and enriched in high-grade glioma, but not glia cells. Depletion of CK1ε remarkably inhibited the growth of glioblastoma cells and suppressed self-renewal of glioblastoma stem cells, while having limited effect on astrocytes. CK1ε deprivation activated β-catenin and induced apoptosis, which was further counteracted by knockdown of β-catenin. The CK1ε inhibitor IC261, but not PF-4800567, activated β-catenin and blocked the growth of glioblastoma cells and glioblastoma stem cells. Congruently, IC261 elicited a robust growth inhibition of human glioblastoma xenografts in mice. Together, our results demonstrate that CK1ε regulates the survival of glioblastoma cells and glioblastoma stem cells through β-catenin signaling, underscoring the importance of targeting CK1ε as an effective treatment for glioblastoma.
Measurement-based network link dimensioning (2015)

The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for bandwidth resources. Link dimensioning can support fair share and allocation of bandwidth. Current approaches however, are ineffective at smaller timescales or require traffic measurements that are not easy to obtain. In this thesis we focused on easy to deploy and accurate link dimensioning approaches for the future Internet. The start point of our work is a dimensioning formula, proposed in 2006, built upon the assumption of Gaussian traffic. This formula is able to accurately estimate required capacity at very small timescales. To do so it requires traffic statistics that can be obtained from packet captures. The contribution of this thesis is threefold. First, we prove that the assumption of Gaussian traffic holds for current Internet traffic and, hence, the dimensioning formula can still be applied. Second, instead of relying on costly packet captures, we develop and validate link dimensioning approaches that estimate the needed traffic statistics from measurement data obtained via technologies that are largely found in today's networks (namely, sFlow and NetFlow/IPFIX). Our approaches are able to accurately estimate required capacity at timescales as low as 1ms. Last, we propose a link dimensioning approach that uses measured data from the recent and already widely available OpenFlow. We also investigate the quality of flow-level measurements in current implementations of OpenFlow, and demonstrate that these are not yet accurate enough for link dimensioning purposes.
Active Shape Models with Invariant Optimal Features: Application to Facial Analysis (2007)

This work is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view images is addressed. We propose a method that generalizes linear Active Shape Models (ASMs), which have already been used for this task. The technique is built upon the development of a nonlinear intensity model, incorporating a reduced set of differential invariant features as local image descriptors. These features are invariant to rigid transformations, and a subset of them is chosen by Sequential Feature Selection for each landmark and resolution level. The new approach overcomes the unimodality and Gaussianity assumptions of classical ASMs regarding the distribution of the intensity values across the training set. Our methodology has demonstrated a significant improvement in segmentation precision as compared to the linear ASM and Optimal Features ASM (a nonlinear extension of the pioneer algorithm) in the tests performed on AR, XM2VTS, and EQUINOX databases.
Localization Based on Building Recognition (2006)

Navigational capabilities of people in urban areas are to a large extent determined by their knowledge of current location. In addition to location information available by means of global positioning sensors, images can provide additional and often complementary information about relative position and/or viewpoint of the person with respect to some known landmarks. In order to enable such functionality, landmarks (e.g. buildings) have to be reliably and efficiently recognized. In this paper we describe a hierarchical approach for recognition of buildings. At the first stage, we use a novel and efficient representation named localized color histograms. This representation enables efficient retrieval of a small number of candidate matches from the database. At the second stage, the recognition is refined by matching descriptors associated with local image regions. Once the correct building is identified, the relative pose with respect to the building is recovered. The proposed approach is validated by extensive experiments, with images taken in different weather conditions, seasons and with different cameras.
THE COMMON PROTEIN AGGLUTINOGEN OF STAPHYLOCOCCUS AUREUS. II. PURIFICATION, CHEMICAL CHARACTERIZATION, AND SEROLOGIC COMPARISON WITH JENSEN'S ANTIGEN. (1963)

Summary Staphylococcal agglutinogen was extracted from undigested cell walls and purified through carboxymethyl (CM)-cellulose column chroma tography and molecular sieving by Sephadex G-75. The sedimentation patterns of ultracentrifugation showed a high degree of homogeneity of the purified agglutinogen. The sedimentation constant is 1.6 S, the diffusion constant is 11.6 × 10 -7 cm 2 /sec, and the molecular weight is 13,200. It showed single line precipitation reactions with human and rabbit antisera in agar gel diffusion and immunoelectrophoresis. From the nitrogen content, ultraviolet absorption, and sensitivity against digestion by proteolytic enzymes, it was shown that the agglutinogen is a protein. Jensen9s antigen A contains the agglutinogen.
Visualization of Bacterial Microcompartment Facet Assembly Using High-Speed Atomic Force Microscopy (2015)

Bacterial microcompartments (BMCs) are proteinaceous organelles widespread among bacterial phyla. They compartmentalize enzymes within a selectively permeable shell and play important roles in CO2 fixation, pathogenesis, and microbial ecology. Here, we combine X-ray crystallography and high-speed atomic force microscopy to characterize, at molecular resolution, the structure and dynamics of BMC shell facet assembly. Our results show that preformed hexamers assemble into uniformly oriented shell layers, a single hexamer thick. We also observe the dynamic process of shell facet assembly. Shell hexamers can dissociate from and incorporate into assembled sheets, indicating a flexible intermolecular interaction. Furthermore, we demonstrate that the self-assembly and dynamics of shell proteins are governed by specific contacts at the interfaces of shell proteins. Our study provides novel insights into the formation, interactions, and dynamics of BMC shell facets, which are essential for the design and engineering of self-assembled biological nanoreactors and scaffolds based on BMC architectures.
Characterization of Glioma Microcirculation and Tissue Features Using Intravoxel Incoherent Motion Magnetic Resonance Imaging in a Rat Brain Model (2014)

Quantitative non-Gaussian diffusion and perfusion MRI can provide valuable information on microvasculature and tissue structure to improve characterization of brain tumors.
Double-blind efficacy and safety study of a novel anti-ischemic agent, ranolazine, versus placebo in patients with chronic stable angina pectoris. Ranolazine Study Group. (1994)

Therapy with ranolazine 30, 60, and 120 mg tid was not superior to placebo. Our study does not support the published beneficial effects of similar doses of ranolazine on either myocardial ischemia or exercise performance or on anginal attacks during daily life in patients with angina pectoris.