gebhart/patrepeval huggingface dataset:
Dynamic server power capping for enabling data center participation in power markets (2013)

Today's US power markets offer new opportunities for the energy consumers to reduce their energy costs by first promising an average consumption rate for the next hour and then by following a regulation signal broadcast by the independent system operators (ISOs), who need to match supply and demand in real time in presence of volatile and intermittent renewable energy generation. This paper leverages the power regulation capabilities of the servers so as to enable the data centers to participate in these emerging power markets. As the data center energy consumption continues to grow, proposed participation in the power markets has the promise to achieve significant monetary savings. The paper first solves a data center regulation service (RS) optimization problem to determine the optimal average power consumption and regulation quantity that minimize the energy cost. We then propose a dynamic server power capping technique to modulate the real-time power consumption in response to ISO requests while maintaining the desired quality-of-service (QoS). Experiments on a real-life server demonstrate that our technique can reduce the energy cost by 29% on average compared to using a fixed power cap.
An i-vector extractor suitable for speaker recognition with both microphone and telephone speech (2010)

It is widely believed that speaker verification systems perform better when there is sufficient background training data to deal with nuisance effects of transmission channels. It is also known that these systems perform at their best when the sound environment of the training data is similar to that of the context of use (test context). For some applications however, training data from the same type of sound environment is scarce, whereas a considerable amount of data from a different type of environment is available. In this paper, we propose a new architecture for text-independent speaker verification systems that are satisfactorily trained by virtue of a limited amount of application-specific data, supplemented with a sufficient amount of training data from some other context. This architecture is based on the extraction of parameters (i-vectors) from a low-dimensional space (total variability space) proposed by Dehak [1]. Our aim is to extend Dehak’s work to speaker recognition on sparse data, namely microphone speech. The main challenge is to overcome the fact that insufficient application-specific data is available to accurately estimate the total variability covariance matrix. We propose a method based on Joint Factor Analysis (JFA) to estimate microphone eigenchannels (sparse data) with telephone eigenchannels (sufficient data). For classification, we experimented with the following two approaches: Support Vector Machines (SVM) and Cosine Distance Scoring (CDS) classifier, based on cosine distances. We present recognition results for the part of female voices in the interview data of the NIST 2008 SRE. The best performance is obtained when our system is fused with the state-of-the-art JFA. We achieve 13 % relative improvement on equal error rate and the minimum value of detection cost function decreases from 0.0219 to 0.0164. 1.
Photoradiation Therapy in the Treatment of Malignant Brain Tumors (1981)

Abstract Hematoporphyrin derivative accumulates in malignant brain tumors and, when activated by light, can produce a cytotoxic reaction. A system for utilizing this concept in the treatment of human malignant brain tumors has been developed and tested in a small series of patients. No significant adverse reactions have occurred, and further development and research are planned.
Behavioral Biases Meet the Market: The Case of Magazine Subscription Prices (2005)

Using data from American magazines, we explore the relationship between newsstand and subscription prices and magazine characteristics. In particular, we distinguish between magazines that provide benefits in the future (investment magazines) versus those that are simply fun to read now (leisure magazines). A consumer with a present bias at the newsstand discounts the future payoff of the investment good but fully values the leisure good. This difference does not exist for subscriptions. Thus, the ratio of the subscription to newsstand willingness to pay for a magazine should differ between investment and leisure goods. We find that for magazines whose payoff is in the future, subscriptions are relatively more costly, ceteris paribus. This finding suggests that publishers reflect the present bias preferences of consumers in their price setting behavior.
Performance characteristics of the STANAG 5066 HF data link protocol (1999)

STANAG 5066 “Profile for HF Radio Data Communications” has been developed through a cooperative venture between DERA, Portsdown West, UK, and the NATO C3 Agency, the Hague. The “profile” describes a set of functions together with the interfaces, data formats, and procedures required for interoperable data communications over HF radio links using commercial-off-the-shelf (COTS) HF modems. The profile defines protocols for the transfer of both broadcast and ARQ traffic. Two prototype systems have been developed by industry and DERA have been evaluating their performance in order to gather the technical data required to support ratification of the STANAG. This paper presents the results of performance tests on the STANAG 5066 prototype systems over both simulated and on-air HF paths and compares their performance with the only comparable existing standard for the reliable transfer of data over HF radio, the US Federal Standard 1052. The performance of the adaptive data rate mechanism included in the STANAG is also reported. (6 pages)
Regulation of Acidic Ribosomal Protein Expression and Phosphorylation in Maize (2002)

Acidic ribosomal proteins (ARPs) are highly conserved phosphoproteins in eukaryotic organisms. They participate in translation regulation by interacting with eEF-2 elongation factors in the peptide elongation process. During maize germination, protein synthesis is tightly regulated by different mechanisms that are not yet clearly understood. The objective of this research is to characterize the expression patterns of the two maize ARPs (P1 and P2) and their phosphorylated status in germinating maize embryonic axes. Expression of P1 and P2 mRNA transcripts was analyzed by Northern blots with specific cDNA probes. Results indicated that both transcripts are among the mRNA stored pool of the quiescent axes and each displays a distinctive expression pattern during germination. P1 and P2 synthesis initiates very early in germination, as demonstrated by [(35)S]methionine pulse-labeling experiments. This synthesis was not insulin/IGF-stimulated as the synthesis of the bulk of ribosomal proteins that was responsive to this stimulus. P1 and P2 proteins were purified from ribosomes of maize embryonic axes and their physicochemical characteristics determined. A cytoplasmic pool of dephosphorylated P1 and P2 proteins was found in axes of quiescent and germinated stages that freely assembled into the ribosomes. IEF analysis of ARPs revealed one P1 (P1-1) and two P2 (P2-1 and P2-2) forms in the ribosomes of 24 h germinated axes. Kinetic studies of ARP phosphorylation during germination revealed a specific order of phospho-ARP appearance, suggesting that this process is under regulation within this period. It is concluded that P1 and P2 phosphorylation rather than ARP expression or assembly into ribosomes is the main step that regulates ARP function in axes during maize germination.
Using association rules to discover search engines related queries (2004)

We present a method for automatic generate suggestions of related queries submitted to Web search engines. The method extracts information from the log of past submitted queries to search engines using algorithms for mining association rules. Experimental results were performed on a log containing more than 2.3 million queries submitted to a commercial searching engine giving correct suggestions in 90.5% of the top 5 suggestions presented for common queries extracted from a real log.
Vapor and Gas-Bubble Growth Dynamics around Laser-Irradiated, Water-Immersed Plasmonic Nanoparticles (2017)

Microbubbles produced by exposing water-immersed metallic nanoparticles to resonant light play an important role in emerging and efficient plasmonic-enhanced processes for catalytic conversion, solar energy harvesting, biomedical imaging, and cancer therapy. How do these bubbles form, and what is their gas composition? In this paper, the growth dynamics of nucleating bubbles around laser-irradiated, water-immersed Au plasmonic nanoparticles are studied to determine the exact origin of the occurrence and growth of these bubbles. The microbubbles' contact angle, footprint diameter, and radius of curvature were measured in air-equilibrated water (AEW) and degassed water (DGW) with fast imaging. Our experimental data reveals that the growth dynamics can be divided into two regimes: an initial bubble nucleation phase (regime I, < 10 ms) and, subsequently a bubble growth phase (regime II). The explosive growth in regime I is identical for AEW and DGW due to the vaporization of water. However, the slower growth in regime II is distinctly different for AEW and DGW, which is attributed to the uptake of dissolved gas expelled from the water around the hot nanoparticle. Our scaling analysis reveals that the bubble radius scales with time as R(t) ∝ t<sup>1/6</sup> for both AEW and DGW in the initial regime I, whereas in the later regime II it scales as R(t) ∝ t<sup>1/3</sup> for AEW and is constant for perfectly degassed water. These scaling relations are consistent with the experiments.
Self-Activation and 1,8-Stereoinduction in a Boronate-substituted Dienophile (2002)

The [4+2] cycloaddition of ortho-boronoanilide dienophile 4 with cyclopentadiene was found to proceed faster than both its para isomer 8 and the unsubstituted derivative 6, thereby confirming that self-activation by internal coordination is operative in the case of 4. Chiral boronic esters derivatives 9 and 10 provided a small level of remote 1,8-stereoinduction. These results show that dialkoxyboronic esters can operate as weak, internal Lewis acids and activate carbonyl-containing functionalities in cycloaddition reactions.
Thermal contact resistance between graphene and silicon dioxide (2009)

The thermal contact resistance between graphene and silicon dioxide was measured using a differential 3ω method. The sample thicknesses were 1.2 (single-layer graphene), 1.5, 2.8, and 3.0 nm, as determined by atomic force microscopy. All samples exhibited approximately the same temperature trend from 42 to 310 K, with no clear thickness dependence. The contact resistance at room temperature ranges from 5.6×10−9 to 1.2×10−8 m2 K/W, which is significantly lower than previous measurements involving related carbon materials. These results underscore graphene’s potential for applications in microelectronics and thermal management structures.
ANTIVIRAL ACTIVITY OF CULTURED BLUE‐GREEN ALGAE (CYANOPHYTA)<sup>1</sup> (1993)

ABSTRACT Lipophilic and hydrophilic extracts from approximately 600 strains of cultured cyanophytes, representing some 300 species, were examined for antiviral activity against three pathogenic viruses. Approximately 10% of the cultures produced substances that caused significant reduction in cytopathic effect normally associated with viral infection. The screening program identified the order Chroococcales as commonly producing antiviral agents.
TRANSDERMAL PATCHES: A RECENT APPROCH TO NEW DRUG DELIVERY SYSTEM (2011)

Transdermal drug delivery system was introduced to overcome the difficulties of drug delivery through oral route. A transdermal patch is medicated adhesive patch that is placed on the skin to deliver a specific dose of medication through the skin and into the bloodstream. Often, this promotes healing to an injured area of the body. An advantage of a transdermal drug delivery route over other types of medication delivery such as oral, topical, intravenous, intramuscular, etc. is that the patch provides a controlled release of the medication into the patient, usually through either a porous membrane covering a reservoir of medication or through body heat melting thin layers of medication embedded in the adhesive. The main disadvantage to transdermal delivery systems stems from the fact that the skin is a very effective barrier; as a result, only medications whose molecules are small enough to penetrate the skin can be delivered in this method. This review article describes the methods of preparation of different types of transdermal patches such as matrix patches, reservoir type, membrane matrix, drug-in-adhesive patches and micro reservoir patches. In addition, the various methods of evaluation of transdermal dosage form have also been reviewed.
cataract surgical problem (2001)

Journal of Cataract & Refractive Surgery 27(2):p 186, February 2001. | DOI: 10.1016/S0886-3350(00)00868-3
Validating Dynamic Assessment of Triadic Gaze for Young Children With Severe Disabilities (2013)

These data support the validity of DA for describing heterogeneity among young children with severe disabilities who look similar on static assessment but appear differentially ready to learn behaviors associated with joint attention. This knowledge will assist clinicians in planning more efficacious services for young children who struggle to communicate and are at risk for extended therapeutic needs.
Como un breve sonido (1995)

Sobre Pedro Casariego Córdoba.
Sound reduction by a Helmholtz resonator (2008)

I would like to express my SIncere gratitude to my advisor, Prof. Donald Rockwell, for his knowledge, guidance and encouragement throughout present study. His. efforts toward my academic progress have been invaluable. Also, I am very grateful to the Korean Army for its financial support. I appreciate the assistance ofthe machine shop, particularly Mr. Richard Towne and Mr. James Bunderla for their craftsmanship. I am also very thankful to Mrs. JoAnn Casciano, Mrs. Geri Kneller for their kindness and administrative assistance. I extend many thanks to Yasushi Watanabe for his contribution on the initial development ofthe experimental set-up and wonderful discussions. I am also thankful to all my colleagues,
Large-scale gene expression profiles, differentially represented in osteoarthritic synovium of the knee joint using cDNA microarray technology (2007)

Osteoarthritis (OA) is one of the most common age-related chronic disorders of articular cartilage, joints and bone tissue. Diagnosis of OA commonly depends on clinical and radiographic findings. However, changes in cartilage associated with the early stage of OA cannot be detected using radiographs, because significant cartilage degeneration must occur before radiographic findings show alterations of the appearance of cartilage. To identify new biomarkers of OA, we analysed gene expression profiles of synovium from 43 patients with OA, ten patients with rheumatoid arthritis (RA), and eight non-OA/non-RA patients using a novel cDNA microarray chip. We identified 21 genes with simultaneous significant differences in expression between OA and non-OA/non-RA groups and between OA and RA groups. Linear discriminant analysis showed that the three groups could be well separated using those 21 genes. Statistical analysis also revealed that several of the 21 genes were associated with disease progression and clinical presentation. The graphical modelling method indicated that some of the 21 genes are significantly associated with a particular clinical presentation, suggesting biological relationships among those genes. This is the first report of the use of cDNA microarray technology to create large-scale gene expression profiles differentially expressed in situ in OA synovium of the knee joint.
Quality preserving depth estimation in sequential stereo images (2016)

Computational complexity of the local stereo matching method is affected by disparity ranges. In case of depth estimation in sequential stereo images, high computational complexity is a problem in terms of real-time processing. In this paper, we propose a temporal correlation based stereo matching method in sequential images. Using temporal information in a sequential stereo matching method provides inaccurate disparity ranges, since the estimated depth map accuracy is gradually degraded. To preserve the depth map quality in temporal stereo matching procedure, we adopt the guided image filtering for matching cost aggregation. Since the guided image filtering has a similar structure with bilateral filter, it preserves an object boundary region even in restricted disparity search ranges. Inaccurately estimated disparity values from the temporal correlation are compensated by filtering based cost aggregation method. From the experiment results, we check that the proposed depth map acquisition method preserves the depth map quality in temporal domain stereo matching.
Low rank approximation (LRA) based noise reduction in spectral-resolved x-ray imaging using photon counting detector (2015)

Spectral imaging with photon counting detectors has recently attracted a lot of interest in X-ray and CT imaging due to its potential to enable ultra low radiation dose x-ray imaging. However, when radiation exposure level is low, quantum noise may be prohibitively high to hinder applications. Therefore, it is desirable to develop new methods to reduce quantum noise in the acquired data from photon counting detectors. In this paper, we propose a new denoising algorithm to reduce quantum noise in data acquired using an ideal photon counting detector. The proposed method exploits the intrinsic low dimensionality of acquired spectral data to decompose the acquired data in a series of orthonormal spectral bases. The first few spectral bases contain object information while the rest of the bases contain primarily quantum noise. The separation of image content and noise in these orthogonal spatial bases provides a means to reject noise without losing image content. Numerical simulations were conducted to validate and evaluate the proposed noise reduction algorithm. The results demonstrated that the proposed method can effectively reduce quantum noise while maintaining both spatial and spectral fidelity.
RevUP: Automatic Gap-Fill Question Generation from Educational Texts (2015)

This paper describes RevUP which deals with automatically generating gap-fill questions. RevUP consists of 3 parts: Sentence Selection, Gap Selection & Multiple Choice Distractor Selection. To select topicallyimportant sentences from texts, we propose a novel sentence ranking method based on topic distributions obtained from topic models. To select gap-phrases from each selected sentence, we collected human annotations, using the Amazon Mechanical Turk, on the relative relevance of candidate gaps. This data is used to train a discriminative classifier to predict the relevance of gaps, achieving an accuracy of 81.0%. Finally, we propose a novel method to choose distractors that are semantically similar to the gap-phrase and have contextual fit to the gap-fill question. By crowdsourcing the evaluation of our method through the Amazon Mechanical Turk, we found that 94% of the distractors selected were good. RevUP fills the semantic gap left open by previous work in this area, and represents a significant step towards automatically generating quality tests for teachers and self-motivated learners.
Nanofabrication of model catalysts and simulations of their reaction kinetics (1999)

Nanofabrication of Pt particles on SiO2, with particle sizes and separations down to ∼20 nm, and more complex structures consisting of Pt particles deposited on top of CeO2 islands, have been made by electron beam lithography and lift-off techniques. Under catalytic reaction conditions (nonflammable mixture of H2+O2 in Ar at 1000 K, 1 atm) the originally deposited, disk-shaped, and polycrystalline particles, transform to three-dimensional crystalline particles. This restructuring is attributed to the surfactant role of oxygen (promoting Pt mobility), and the nonwetting of late transition metals on oxides. The exothermic H2+O2 reaction is a possible additional driving force. The catalytic kinetics on 3D crystalline particles with well-defined facet planes were explored by Monte Carlo simulations. The latter demonstrate that the catalytic kinetics on nm sized, crystalline particles may be absolutely unique and nonpredictable from single-crystal studies, primarily due to the diffusive mass transport between differently oriented facets on the particles.
Some Correlations between Procaine-Induced Convulsions and Monoamines in the Spinal Cord of Rats (1989)

The relationships between the convulsions induced by the local anesthetic procaine and monoamines in the spinal cord were investigated in rats. The levels of dopamine (DA) and serotonin (5-HT) in the spinal cord were time-dependently increased after procaine (170 mg/kg. i.p.), which induced clonic convulsions, but the level of norepinephrine (NE) was unchanged. The rats that died during convulsions had a marked increase in DA. Phenobarbital (25 mg/kg. s.c.) produced both depletion of DA and elevation of 5-HT in the spinal cord and completely protected rats against convulsions. A 5-HT precursor, 5-hydroxy-tryptophan (5-HTP; 20-80 mg/kg. i.p.), suppressed the convulsions in a dose-dependent manner as shown by a decrease in the incidence and a prolongation of the latency, but a DA precursor. 3,4-dihydroxyphenylalanine (L-DOPA: 20-80 mg/kg. I.p.), markedly shortened the latency. Furthermore, the effect of L-DOPA on the convulsions was inhibited by the combination of 5-HTP, a-Methyl-p-tyrosine (20-80 mg/kg. i.p.) or DL-p-chlorophenylalanine (20-80 mg/kg. i.p.), an inhibitor of NE and DA or 5-HT biosynthesis, had a slight effect on the convulsions. These results suggest that procaine causes significant elevations of rat spinal DA and 5-HT in the convulsive process and suggest that dopaminergic and serotonergic neurons may be associated with procaine-induced convulsions.
Clinical breast imaging using sound-speed reconstructions of ultrasound tomography data (2008)

To improve clinical breast imaging, a new ultrasound tomography imaging device (CURE) has been built at the Karmanos Cancer Institute. The ring array of the CURE device records ultrasound transmitted and reflected ultrasound signals simultaneously. We develop a bent-ray tomography algorithm for reconstructing the sound-speed distribution of the breast using time-of-flights of transmitted signals. We study the capability of the algorithm using a breast phantom dataset and over 190 patients' data. Examples are presented to demonstrate the sound-speed reconstructions for different breast types from fatty to dense on the BI-RADS categories 1-4. Our reconstructions show that the mean sound-speed value increases from fatty to dense breasts: 1440.8 <i>m/ s</i> (fatty), 1451.9 <i>m/ s</i> (scattered), 1473.2 <i>m/ s</i>(heterogeneous), and 1505.25 <i>m/ s </i>(dense). This is an important clinical implication of our reconstruction. The mean sound speed can be used for breast density analysis. In addition, the sound-speed reconstruction, in combination with attenuation and reflectivity images, has the potential to improve breast-cancer diagnostic imaging. The breast is not compressed and does not move during the ultrasound scan using the CURE device, stacking 2D slices of ultrasound sound-speed tomography images forms a 3D volumetric view of the whole breast. The 3D image can also be projected into a 2-D "ultrasound mammogram" to visually mimic X-ray mammogram without breast compression and ionizing radiation.
The performance of a fiber optic magnetic field sensor utilizing a magneto-optical garnet (1992)

Abstract The design and performance of a multimode fiber optic magnetic field sensor utilizing the Faraday effect in an epitaxially grown thick (YbTbBi)IG film is reported. The sensor is found to be linear over a range of more than 100 dB.