gebhart/patrepeval huggingface dataset:
Mass Spectrometry-Based Metabolomic and Lipidomic Analyses of the Effects of Dietary Platycodon grandiflorum on Liver and Serum of Obese Mice under a High-Fat Diet (2017)

We aimed to identify metabolites involved in the anti-obesity effects of Platycodon grandiflorum (PG) in high-fat diet (HFD)-fed mice using mass spectrometry (MS)-based metabolomic techniques. C57BL/6J mice were divided into four groups: normal diet (ND)-fed mice, HFD-fed mice, HFD with 1% PG extract-fed mice (HPGL), and HFD with 5% PG extract-fed mice (HPGH). After 8 weeks, the HFD group gained more weight than the ND group, while dietary 5% PG extract attenuated this change. The partial least squares discriminant analysis (PLS-DA) score plots showed a clear distinction between experimental groups in serum and liver markers. We also identified 10 and 32 metabolites in the serum and liver, respectively, as potential biomarkers that could explain the effect of high-dose PG added to HFD-fed mice, which were strongly involved in amino acid metabolism (glycine, serine, threonine, methionine, glutamate, phenylalanine, ornithine, lysine, and tyrosine), TCA cycle (fumarate and succinate), lipid metabolism (linoleic and oleic acid methyl esters, oleamide, and cholesterol), purine/pyrimidine metabolism (uracil and hypoxanthine), carbohydrate metabolism (maltose), and glycerophospholipid metabolism (phosphatidylcholines, phosphatidylethanolamines, lysophosphatidylcholines, and lysophosphatidylethanolamines). We suggest that further studies on these metabolites could help us gain a better understanding of both HFD-induced obesity and the effects of PG.
Edgewrite: a versatile design for text entry and control (2006)

This dissertation presents a versatile design for text entry and control called EdgeWrite. EdgeWrite was designed to provide accessible text entry on a variety of platforms to people with motor impairments and to able-bodied users of small devices. 
The EdgeWrite design includes a square input area, four corner sensors, corner-sequence recognition, physical edges, goal crossing, and unistroke segmentation. Advanced EdgeWrite features include continuous recognition feedback, non-recognition retry, slip detection, and word-level stroking---concepts not before realized in a text entry method. The EdgeWrite alphabet, which is the same for all EdgeWrite versions, was designed for maximum guessability and learnability through participatory design. A key result is that EdgeWrite is about as guessable as Palm OS Graffiti, a method lauded for its immediate usability. 
Multiple versions of EdgeWrite were built and user-tested, including Stylus EdgeWrite for the Palm OS, Joystick EdgeWrite for game controllers and power wheelchairs, Touchpad EdgeWrite, Trackball EdgeWrite, Isometric Joystick EdgeWrite for mobile phones, and EdgeWrite on four keys or sensors. For each version, empirical results from formal user studies were obtained. Of particular importance for users with motor impairments are the results for Stylus and Trackball EdgeWrite, which show marked improvements over existing techniques. In addition, five versions of EdgeWrite built by other researchers further highlight EdgeWrite's versatility. 
As part of EdgeWrite's ongoing evaluations, a new character-level error analysis for text entry input streams was developed. This error analysis and the algorithms that automate it constitute a methodological and theoretical contribution to the field of text entry evaluation and measurement. 
The thesis is: A versatile design for text entry and control called Edge Write, which uses physical edges, goal crossing, and a minimized need for sensing, is effective on handhelds and desktops for people with motor and situational impairments.
Improved red dopants for organic electroluminescent devices (1998)

Abstract A t ‐butyl substituted red fluorescent dye, 4‐(dicyanomethylene)‐2‐ t‐butyl ‐6‐(1,1,7,7‐tetramethyljulolidyl‐9‐enyl)‐4 H ‐pyran (DCJTB), has been found to be an excellent dopant in AIQ 3 which produces a highly efficient organic EL device with improved red chromaticity. Unlike 4‐(dicyanomethylene)‐2‐ methyl ‐6‐(1,1,7,7‐tetramethyljulolidyl‐9‐enyl)‐4 H ‐pyran (DCJT), DCJTB can be synthesized in a pure form directly from the unsymmetrical 4‐(dicyanomethylene)‐2‐( t ‐butyl)‐6‐methyl‐4 H ‐pyran without the contamination of the non‐fluorescent bis ‐condensation byproduct which is prevalent in the DCJT preparation. Both photoluminescence and electroluminescence in the solid films of DCJTB in AlQ 3 are modestly enhanced by the extra t‐butyl substitution as a result of a reduction in the effect of concentration quenching. The operation stability of the DCJTB doped EL device is superior, having a half‐life of over 5,000 h driven at an initial brightness > 400 cd/m 2 .
Harvesting vibration energy by a triple-cantilever based triboelectric nanogenerator (2013)

Triboelectric nanogenerators (TENG), a unique technology for harvesting ambient mechanical energy based on triboelectric effect, have been proven to be a cost-effective, simple and robust approach for self-powered systems. Here, we demonstrate a rationally designed triple-cantilever based TENG for harvesting vibration energy. With the assistance of nanowire arrays fabricated onto the surfaces of beryllium-copper alloy foils, the newly designed TENG produces an open-circuit voltage up to 101 V and a short-circuit current of 55.7 μA with a peak power density of 252.3 mW/m2. The TENG was systematically investigated and demonstrated as a direct power source for instantaneously lighting up 40 commercial light-emitting diodes. For the first time, a TENG device has been designed for harvesting vibration energy, especially at low frequencies, opening its application as a new energy technology.
Focused‐ion‐beam fabrication of ZnO nanorod‐based UV photodetector using the in‐situ lift‐out technique (2008)

Abstract ZnO nanorods and nanowires are promising candidates as new types of high‐sensitivity ultraviolet (UV) photodetectors due to their wide bandgap and large aspect ratio. In this study, single‐crystalline ZnO nanorods were grown on glass substrates by a hydrothermal method. Specific structural, morphological, electrical, and optical measurements were carried out. A single ZnO nanorod‐based photodetector was fabricated using the in‐situ lift‐out technique in a focused ion beam (FIB/SEM) instrument and characterized. With a source wavelength of 370 nm and an applied bias of 1 V, the responsivity of the ZnO nanorod is 30 mA/W. The single ZnO nanorod photodetector exhibits an ultraviolet (UV) photoresponse promising for potential applications as cost‐effective UV detectors. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Characteristics of Superconducting First-Order Sigma-Delta Modulator With Clock-Doubler Circuit (2007)

Superconducting first-order sigma-delta modulator was designed and evaluated experimentally at the sampling frequency (f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> ) over 10 GHz using an internal clock-doubler circuit. We employed a complementary-feedback type first-order sigma-delta modulator with an LR integrator. The numerical simulation indicated that higher f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> of 20 GHz are required to achieve 14-bit resolution for the signal bandwidth of 10 MHz. We newly developed a frequency doubler circuit to generate 20 GHz clock signals from external 10 GHz signals. The modulator could be evaluated experimentally at f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> up to 16 GHz, which limited by the measurement system. The measured SINAD (signal-to-noise-and-distortion ratio) of the modulator is almost equal to the numerically simulated value, and the SINAD at 16 GHz is about 77 dB for the signal bandwidth of 10 MHz.
Towards Data-efficient Modeling for Wake Word Spotting (2020)

Wake word (WW) spotting is challenging in far-field not only because of the interference in signal transmission but also the complexity in acoustic environments. Traditional WW model training requires large amount of in-domain WW-specific data with substantial human annotations therefore it is hard to build WW models without such data. In this paper we present data-efficient solutions to address the challenges in WW modeling, such as domain-mismatch, noisy conditions, limited annotation, etc. Our proposed system is composed of a multi-condition training pipeline with a stratified data augmentation, which improves the model robustness to a variety of predefined acoustic conditions, together with a semi-supervised learning pipeline to accurately extract the WW and confusable examples from untranscribed speech corpus. Starting from only 10 hours of domain-mismatched WW audio, we are able to enlarge and enrich the training dataset by 20-100 times to capture the acoustic complexity. Our experiments on real user data show that the proposed solutions can achieve comparable performance of a production-grade model by saving 97\% of the amount of WW-specific data collection and 86\% of the bandwidth for annotation.
RTA-compliant optimized profile descents with 4-D FMS (2014)

Optimized Profile Descents (OPDs) or Continuous Descent Approaches use idle or near-idle thrust during descents to reduce fuel consumption, engine noise and carbon emissions. With Optimized Profile Descents, aircraft can descend continuously from cruise altitude to the bottom of descent or to an initial approach fix without level path segments. However, to utilize OPDs without reducing the traffic throughput around an airport, a Required Time of Arrival is usually imposed at a metering waypoint to safely merge incoming traffic. The drawback to OPDs is that, if only idle thrust is used during descent, the descent profile is a function of not only aircraft speed, aircraft weight, wind and temperature, but also aircraft platforms and engine types. Therefore, the idle descent profile can vary from one aircraft to another and from one flight to another flight at a different date. One way to eliminate the path unpredictability, while retaining most of OPD benefits, is to only use path segments with constant flight path angles during descent. Thus, the vertical descent profile is clearly defined. This paper presents an enhanced design of Optimal E* (pronounced as E-Star) that, when integrated with a Flight Management System (FMS), can construct predictable RTA-compliant OPD trajectories and provide guidance commands to the automatic flight control system to enable aircraft to arrive at the metering waypoint on time, while reducing fuel consumption. Simulation results are also presented in this paper.
Evolution of polymeric optical fiber coatings (1994)

This paper overviews genera types of polymeric coating systems which have been used on glass optical fibers. Performance requirements responsible for the utilization of these different coatings systems are discussed.
Abstract 15447: Multicenter, Randomized, Double-Blind Trial of Etanercept in Acute Kawasaki Disease (2017)

Introduction: The Etanercept as Adjunctive Treatment for Acute Kawasaki Disease (KD) study is the largest North American KD clinical trial to date. We performed this multicenter double blind, place...
Prosody contour prediction with long short-term memory, bi-directional, deep recurrent neural networks (2014)

Deep Neural Networks (DNNs) have been shown to provide state-of-the-art performance over other baseline models in the task of predicting prosodic targets from text in a speechsynthesis system. However, prosody prediction can be affected by an interaction of short- and long-term contextual factors that a static model that depends on a fixed-size context window can fail to properly capture. In this work, we look at a recurrent formulation of neural networks (RNNs) that are deep in time and can store state information from an arbitrarily large input history when making a prediction. We show that RNNs provide improved performance over DNNs of comparable size in terms of various objective metrics for a variety of prosodic streams (notably, a relative reduction of about 6% in F0 mean-square error accompanied by a relative increase of about 14% in F0 variance), as well as in terms of perceptual quality assessed through mean-opinion-score listening tests. Index Terms: speech synthesis,text-to-speech, prosody prediction, recurrent neural networks, deep learning
Hydraulic-fracture geometry characterization using low-frequency DAS signal (2017)

Abstract Monitoring and diagnosing completion during hydraulic-fracturing operations provides insight into the fracture geometry, interwell frac hits, and connectivity. Conventional monitoring methods (microseismic, pressure gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of distributed acoustic sensing (DAS) as a fracture monitoring tool is growing; however, most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of DAS signal to constrain hydraulic-fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data record formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat, and plug isolation can be clearly identified. In vertical wells, DAS response agrees well with colocated pressure and temperature gauges, and illuminates the vertical extent of hydraulic fractures. We show that DAS data in the low-frequency band is a powerful attribute to monitor small strain and temperature perturbation in or near the monitor wells. With different fibered monitor well design, we can measure the far-field fracture length, height, width, and density using crosswell DAS observations.
Novel Bioactive Functionally Graded Coatings on Ti6Al4V (2000)

Bioactive glass coatings are very promising for implant materials due to their good adhesion, mechanical stability, and bioactivity. A new family of silicate-based glasses has been prepared and applied to metallic implants using a simple enameling technique. The graded approach used here reduces stress between layers, and preliminary indentation tests (see Figure) indicate a strong glass–metal adhesion.
Fluid mechanics of crossflow magnetically stabilized fluidized beds (1985)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFluid mechanics of crossflow magnetically stabilized fluidized bedsNicholas P. Cheremisinoff, Jeffrey H. Siegell, and Costas A. CoulaloglouCite this: Ind. Eng. Chem. Process Des. Dev. 1985, 24, 3, 719–725Publication Date (Print):July 1, 1985Publication History Published online1 May 2002Published inissue 1 July 1985https://pubs.acs.org/doi/10.1021/i200030a033https://doi.org/10.1021/i200030a033research-articleACS PublicationsRequest reuse permissionsArticle Views59Altmetric-Citations10LEARN 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 options Get e-Alerts
Joint Inference of Multiple Label Types in Large Networks (2014)

We tackle the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Our primary example, and the focus of this paper, is the joint inference of label types such as hometown, current city, and employers, for users connected by a social network. Standard label propagation fails to consider the properties of the label types and the interactions between them. Our proposed method, called EdgeExplain, explicitly models these, while still enabling scalable inference under a distributed message-passing architecture. On a billion-node subset of the Facebook social network, EdgeExplain significantly outperforms label propagation for several label types, with lifts of up to 120% for recall@1 and 60% for recall@3.
Abstract 6527: Targeting glycosylated PD-1 induces potent anti-tumor immunity (2020)

Abstract Immunotherapy targeting programmed cell death protein 1 (PD-1) and programmed cell death 1 ligand 1 (PD-L1) immune checkpoints represents a major breakthrough in cancer treatment. PD-1 is an inhibitory receptor expressed on the surface of activated T cells that dampens T-cell receptor (TCR)/CD28 signaling by engaging with its ligand PD-L1 expressed on cancer cells. Despite the clinical success of PD-1 blockade using monoclonal antibodies, most patients do not show promising results, and the underlying regulatory mechanisms of PD-1 remain incompletely defined. Here, we showed that PD-1 is extensively N-glycosylated in T cells, and the intensities of its specific glycoforms are altered upon TCR activation. Glycosylation is critical for maintaining PD-1 protein stability and cell surface localization. Importantly, the glycosylation of PD-1, especially at the N58 site, is essential for mediating the interaction with PD-L1. A monoclonal antibody that specifically targets glycosylated PD-1, STM418, exhibits higher binding affinity to PD-1 than FDA-approved PD-1 antibodies, potently inhibits PD-L1/PD-1 binding, and enhances anti-tumor immunity. Our findings provide novel insights into the functional significance of PD-1 glycosylation and offer a rationale for targeting glycosylated PD-1 as a potential strategy for immunotherapy. Citation Format: Yuhan Wang, Linlin Sun, Riyao Yang, Jielin Liu, Yufan Qiu, Jennifer L. Hsu, Jong-ho Cha, Li-Chuan Chan, Jung-Mao Hsu, Heng-Huan Lee, Yun-Ju Lai, Kay-Hooi Khoo, Ezra M Chung, Chia-Wei Li, Yong-Soo Kim, Andrew H Park, Yi Yang, Stephen S. Yoo, Mien-Chie Hung. Targeting glycosylated PD-1 induces potent anti-tumor immunity [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6527.
Anti‐ZP3 Antibodies Binding to the Human Zona Pellucida: Effect of Oocyte‐Storage Conditions (1994)

Our results indicate that the ZP3 protein backbone might be altered by 1,2 propanediol-treatment while the glycoprotein-receptor remains intact. We conclude that antisera against ZP3 peptides can be used as markers for the ZP3 protein backbone in human oocytes and might be useful tools for the evaluation of ZP3 protein integrity.
Device authentication protocol for smart grid systems using homomorphic hash (2012)

In a smart grid environment, data for the usage and control of power are transmitted over an Internet protocol (IP)-based network. This data contains very sensitive information about the user or energy service provider (ESP); hence, measures must be taken to prevent data manipulation. Mutual authentication between devices, which can prevent impersonation attacks by verifying the counterpart's identity, is a necessary process for secure communication. However, it is difficult to apply existing signature-based authentication in a smart grid system because smart meters, a component of such systems, are resource-constrained devices. In this paper, we consider a smart meter and propose an efficient mutual authentication protocol. The proposed protocol uses a matrix-based homomorphic hash that can decrease the amount of computations in a smart meter. To prove this, we analyze the protocol's security and performance.
Adaptive traitor tracing for large anonymous attack (2008)

In this paper we focus on traitor tracing technologies for the anonymous re-broadcasting attack where the attackers re-distribute the per-content encrypting key or the decrypted plain content. To defend against an anonymous attack, content is usually built with different variations. For example, content is divided into multiple segments, each segment comes with multiple variations, and each variation is differently encrypted. Each user/player can only play back one variation per segment through the content.
Safety Afoot: Field Testing of a Pedestrian Alert System (2008)

In this article the authors discuss the development and field testing of a new implementation of a combined Global Positioning System (GPS) receiver, wireless data link, and processor as outfitted on automobiles for applications in pedestrian detection. The device called is known as a pedestrian alert system (PAS), and it is designed to detect pedestrians in all weather and non-line-of-sight situations, allow for the classification of pedestrian collision types, provide an effective means of alerting drivers to the presence of detected pedestrians, and reduce or eliminate missed detections and false alerts. Field tests are described that evaluate the PAS system's efficacy. The features examined include adequate driver interface, a robust communications link, accurate differential GPS (DGPS), and accurate prediction of velocity and position vectors in 8 second anticipation. The provided proof of concept PAS was deemed to satisfy the given parameters.
<title>Flat-panel cone-beam CT: a novel imaging technology for image-guided procedures</title> (2001)

The use of flat-panel imagers for cone-beam CT signals the emergence of an attractive technology for volumetric imaging. Recent investigations demonstrate volume images with high spatial resolution and soft-tissue visibility and point to a number of logistical characteristics (e.g., open geometry, volume acquisition in a single rotation about the patient, and separation of the imaging and patient support structures) that are attractive to a broad spectrum of applications. Considering application to image-guided (IG) procedures - specifically IG therapies - this paper examines the performance of flat-panel cone-beam CT in relation to numerous constraints and requirements, including time (i.e., speed of image acquisition), dose, and field-of-view. The imaging and guidance performance of a prototype flat panel cone-beam CT system is investigated through the construction of procedure-specific tasks that test the influence of image artifacts (e.g., x-ray scatter and beam-hardening) and volumetric imaging performance (e.g., 3D spatial resolution, noise, and contrast) - taking two specific examples in IG brachytherapy and IG vertebroplasty. For IG brachytherapy, a procedure-specific task is constructed which tests the performance of flat-panel cone-beam CT in measuring the volumetric distribution of Pd-103 permanent implant seeds in relation to neighboring bone and soft-tissue structures in a pelvis phantom. For IG interventional procedures, a procedure-specific task is constructed in the context of vertebroplasty performed on a cadaverized ovine spine, demonstrating the volumetric image quality in pre-, intra-, and post-therapeutic images of the region of interest and testing the performance of the system in measuring the volumetric distribution of bone cement (PMMA) relative to surrounding spinal anatomy. Each of these tasks highlights numerous promising and challenging aspects of flat-panel cone-beam CT applied to IG procedures.