gebhart/patrepeval huggingface dataset:
A Versatile Catalyst System for Suzuki−Miyaura Cross-Coupling Reactions of C(sp<sup>2</sup>)-Tosylates and Mesylates (2009)

A catalyst system for the Suzuki-Miyaura cross-coupling reactions of aryl and vinyl tosylates and mesylates has been developed. This catalyst displays excellent functional group tolerance and allows the coupling of heteroarylboronic acids with aryl tosylates and mesylates to be performed in high yields. Moreover, reactions employing alkylboronic acids, as well as heteroaryl, vinyl, and allylic pinacol boronate esters, were conducted with high efficiencies.
Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes (2018)

Cross-modal sketch-photo recognition is of vital importance in law enforcement and public security. Most existing methods are dedicated to bridging the gap between the low-level visual features of sketches and photo images, which is limited due to intrinsic differences in pixel values. In this paper, based on the intuition that sketches and photo images are highly correlated in the semantic domain, we propose to jointly utilize the low-level visual features and high-level facial attributes to enhance the representation ability of sketches. More specifically, a Multi-Modal Conditional GAN (MMC-GAN) is proposed to generate face images for further face recognition based on the generated images. During training, an identity-preserving constraint is further introduced to improve the discriminative ability of the synthetic images. Extensive experiments demonstrate that the effectiveness of attribute-aided face synthesis and recognition.
A Hybrid Deep Learning Architecture for Paraphrase Identification (2018)

The binary classification task of Paraphrase Identification (PI) is vital in the field of Natural Language Processing. The objective of this study is to propose an optimized Deep Learning architecture in combination with usage of word embedding technique for the classification of sentence pairs as paraphrases or not. For Paraphrase Identification task, this paper proposes a hybrid Deep Learning architecture aiming to capture as many features from the inputted sentences in natural language. The aim is to accurately classify whether the pair of sentences are paraphrases of each other or not. The importance of using an optimized word-embedding approach in combination with the proposed hybrid Deep Learning architecture is explained. This study also deals with the lack of the training data required to generate a robust Deep Learning model. The intention is to harness the memorizing power of Long Short Term Memory (LSTM) neural network and the feature extracting capability of Convolutional Neural Network (CNN) in combination with the optimized word-embedding approach which aims to capture wide-sentential contexts and word-order. The proposed model is compared with existing systems and it surpasses all the existing systems in the performance in terms of accuracy.
Evaluation of a non-ablative Er: YAG laser procedure to increase the oropharyngeal airway volume: A pilot study (2015)

Background: Sleep disordered breathing, specifically obstructive sleep apnea (OSA) is due to constriction of the oropharyngeal airway during sleep and has major public health implications. By conservative estimates, 3% of the adult population are suffering from OSA characterized by sleep deprivation, fatigue during the day and somnolence. The most common treatment for sleep apnea is continuous positive airway pressure (CPAP). However, CPAP does not eliminate the cause of OSA.
A high-fidelity microwave driven two-qubit quantum logic gate in 43Ca+ (2016)

Quantum computers offer great potential for significant speedup in executing certain algorithms compared to their classical counterparts. One of the most promising physical systems in which implementing such a device seems viable are trapped atomic ions. All of the fundamental operations needed for quantum information processing have already been experimentally demonstrated in trapped ion systems. Today, the remaining two obstacles are to improve the fidelities of these operations up to the point where quantum error correction techniques can be successfully applied, as well as to scale up the present systems to a higher number of quantum bits (qubits). This thesis addresses both issues. On the one hand, it decribes the experimental implementation of a high-fidelity two-qubit quantum logic gate, which is the most technically demanding fundamental operation to realise in practice. On the other hand, the presented work is carried out in a microfabricated surface ion trap – an architecture that holds the promise of scalability. The gate is applied directly to hyperfine "atomic clock" qubits in <sup>43</sup>Ca<sup>+</sup> ions using the near-field microwave magnetic field gradient produced by an integrated trap electrode. To protect the gate against fluctuating energy shifts of the qubit states, as well as to avoid the need to null the microwave field at the position of the ions, a dynamically decoupled Mølmer-Sørensen scheme is employed. After accounting for state preparation and measurement errors, the achieved gate fidelity is 99.7(1)%. In previous work, the same apparatus has been used to demonstrate coherence times of T<sup>&ast;</sup><sub>2</sub> ≈ 50 s and all single-qubit operations with fidelity > 99.95%. To gain access to the "atomic clock" qubit transition in <sup>43</sup>Ca<sup>+</sup>, a static magnetic field of 146G is applied. The resulting energy level Zeeman-structure is spread over many times the linewidth of the atomic transition used for Doppler cooling. This thesis presents a simple and robust method for Doppler cooling and obtaining high fluorescence from this qubit in spite of the complicated level structure. A temperature of 0.3mK, slightly below the Doppler limit, is reached.
High-Power Pulsed RF Decomposition of Ore Samples with a Carbon Source (1996)

AbstractDecomposition (extraction) of metal-containing ore samples mixed with a carbon source has been achieved by high-power pulse radio-frequency irradiation. Elimination of electrical discharges, which have been an inherent problem in other high-power microwave studies, can be accomplished by careful manipulation of the pulse characteristics. The advantages of the RF technique over microwave technology are discussed.Key Words: DecompositionExtractionMetallic orePulsed high power RF Additional informationNotes on contributorsJ.K.S. WanJeff K.S. Wan, Nick J. Cowley, Michael S. Ioffe and Steve D. Pollington are affiliated with the Department of Chemistry, Queens University, Kingston, Ontario, Canada K7L 3N6.N.J. CowleyJeff K.S. Wan, Nick J. Cowley, Michael S. Ioffe and Steve D. Pollington are affiliated with the Department of Chemistry, Queens University, Kingston, Ontario, Canada K7L 3N6.M.S. IoffeJeff K.S. Wan, Nick J. Cowley, Michael S. Ioffe and Steve D. Pollington are affiliated with the Department of Chemistry, Queens University, Kingston, Ontario, Canada K7L 3N6.S.D. PollingtonJeff K.S. Wan, Nick J. Cowley, Michael S. Ioffe and Steve D. Pollington are affiliated with the Department of Chemistry, Queens University, Kingston, Ontario, Canada K7L 3N6.
A pragmatic information extraction strategy for gathering data on genetic interactions. (2000)

We present in this paper a pragmatic strategy to perform information extraction from biologic texts. Since the emergence of the information extraction field, techniques have evolved, become more robust and proved their efficiency on specific domains. We are using a combination of existing linguistic and knowledge processing tools to automatically extract information about gene interactions in the literature. Our ultimate goal is to build a network of gene interactions. The methodologies used and the current results are discussed in this paper.
Chest X-ray Inpainting with Deep Generative Models (2018)

Generative adversarial networks have been successfully applied to inpainting in natural images. However, the current state-of-the-art models have not yet been widely adopted in the medical imaging domain. In this paper, we investigate the performance of three recently published deep learning based inpainting models: context encoders, semantic image inpainting, and the contextual attention model, applied to chest x-rays, as the chest exam is the most commonly performed radiological procedure. We train these generative models on 1.2M 128 $\times$ 128 patches from 60K healthy x-rays, and learn to predict the center 64 $\times$ 64 region in each patch. We test the models on both the healthy and abnormal radiographs. We evaluate the results by visual inspection and comparing the PSNR scores. The outputs of the models are in most cases highly realistic. We show that the methods have potential to enhance and detect abnormalities. In addition, we perform a 2AFC observer study and show that an experienced human observer performs poorly in detecting inpainted regions, particularly those generated by the contextual attention model.
Mechanism of the structural transformations of anthocyanins in acidic media (1977)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMechanism of the structural transformations of anthocyanins in acidic mediaRaymond Brouillard and Jacques-Emile DuboisCite this: J. Am. Chem. Soc. 1977, 99, 5, 1359–1364Publication Date (Print):March 1, 1977Publication History Published online1 May 2002Published inissue 1 March 1977https://doi.org/10.1021/ja00447a012RIGHTS & PERMISSIONSArticle Views1939Altmetric-Citations297LEARN 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 InReddit PDF (625 KB) Get e-Alerts Get e-Alerts
Construction of gene transfer vectors based on simian adenovirus 7 (2011)

The complete nucleotide sequence of an isolate of simian adenovirus 7 (SAdV-7) was determined. The genome organization of this isolate was found to be similar to that of other primate adenoviruses with two principal notable points: severe truncation of the E1A and E1B 19K proteins and an E3 region encoding only the 12.5K homologue. The viral gene products of SAdV-7 are most closely related to simian adenovirus 1 (SAdV-1), and like SAdV-1, are related to the human adenovirus species HAdV-F, such as the enteric adenoviruses HAdV-40 and HAdV-41 and the recently defined HAdV-G (HAdV-52). Two kinds of gene transfer vectors were made: a replication-competent SAdV-7-based vector with no genomic deletion, and a standard replication-incompetent vector deleted for E1. Importantly, the E1-deleted vector could be propagated to high titre by trans-complementation in human HEK 293 cells.
Transmission scheduling scheme for multicode WCDMA/TDD networks (2002)

A packet transmission scheduling scheme is proposed in a multicode WCDMA/TDD network. Multicode allocation based on SIR and traffic load, for packet transmission with variable rate, is investigated. The proposed scheme gives consideration to delay control and takes priority into account for on-going users. Delay control minimizes the buffer size and supplies fairness to users. Priority to on-going users prevents packets being discarded during transmission. The effect of delay control and giving priority to the on-going users is investigated with respect to system performance and throughput.
User activity recognition for energy saving in smart homes (2013)

Current energy demand for appliances in smart homes is nowadays becoming a severe challenge, due to economic and environmental reasons; effective automated approaches must take into account basic information about users, such as the prediction of their course of actions. The present proposal consists in recognizing user daily life activities by simply relying on the analysis of environmental sensory data in order to minimize energy consumption by guaranteeing that peak demands do not exceed a given threshold. Our approach is based on information theory in order to convert raw data into high-level events, used to represent recursively structured activities. Experiments based on publicly available datasets and consumption models are provided to show the effectiveness of our proposal.
High-Efficiency Micromachined Sub-THz Channels for Low-Cost Interconnect for Planar Integrated Circuits (2015)

This paper presents for the first time the design, fabrication, and demonstration of a micromachined silicon dielectric waveguide based sub-THz interconnect channel for a high-efficiency, low-cost sub-THz interconnect, aiming to solve the long-standing intrachip/interchip interconnect problem. Careful studies of the loss mechanisms in the proposed sub-THz interconnect channel are carried out to optimize the design. Both theoretical and experimental results are provided with good agreement. To guide the channel design, a new figure of merit is also defined. The insertion loss of this first prototype with a 6-mm-long interconnect channel is about 8.4 dB at 209.7 GHz, with a 3-dB bandwidth of 12.6 GHz.
CCL11 (eotaxin‐1): A new diagnostic serum marker for prostate cancer (2012)

Serum CCL11 values may provide a useful diagnostic tool to help distinguish between prostatic enlargement and prostate cancer among men demonstrating low, but detectable, serum PSA values.
Photochemical and Population Hole Burning in the Zero-Phonon Line of a Color Center—<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>F</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mrow><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math>in NaF (1979)

We report reversible hole burning in the inhomogeneously broadened zero-phonon line of ${{F}_{3}}^{+}$ in NaF at 5456 \AA{}. The hole recovery time shows two components: 2.5 sec assigned to triplet-state relaxation and 70 min assigned to electron tunneling from an adjacent center. These holes were used to measure the homogeneous linewidth (17 MHz) and the linear Stark effect. We find the excited $^{1}E$ level has a distribution of zero-field splittings inside the inhomogeneous lines, which quenches the first-order Zeeman effect.
Structural and functional discovery in dynamic networks with non-negative matrix factorization (2013)

Time series of graphs are increasingly prevalent in modern data and pose unique challenges to visual exploration and pattern extraction. This paper describes the development and application of matrix factorizations for exploration and time-varying community detection in time-evolving graph sequences. The matrix factorization model allows the user to home in on and display interesting, underlying structure and its evolution over time. The methods are scalable to weighted networks with a large number of time points or nodes and can accommodate sudden changes to graph topology. Our techniques are demonstrated with several dynamic graph series from both synthetic and real-world data, including citation and trade networks. These examples illustrate how users can steer the techniques and combine them with existing methods to discover and display meaningful patterns in sizable graphs over many time points.
Virtual assistant for the visually impaired (2020)

Research shows that people with visual impairments are 31% less likely to access the internet than individuals without disabilities. This paper illustrates the implementation of software that provides assistance to the visually impaired for accessing the internet. The software shall prove instrumental in the way the internet has accessed and will increase the ease of use drastically. Although technology has grown leaps and bounds, the internet - especially websites are still inaccessible by the visually impaired. The software provides a way to interact with these websites with much ease. With the use of voice commands instead of the traditional keyboard and mouse, our software provides a new dimension to access and provide commands to any website. The software will read out the content of the website and then using speech to text and text to speech modules along with selenium, our software can automate any website. The user is free from remembering complex braille keyboard commands or the hassle of typing, he/she can simply voice out his/her command and the software will execute it. The system also has the functionality of providing a summary of the content on the website and answering questions asked by the user with reference to the summary using a BERT model trained on the Stanford Question Answer Dataset. This software will revolutionize the internet and pave the way for Web3.0.
Functional Analysis of a Stable Transcription Arrest Site in the First Intron of the Murine Adenosine Deaminase Gene (1993)

Transcription arrest plays a role in regulating the expression of a number of genes, including the murine adenosine deaminase (ADA) gene. We have previously identified two prominent arrest sites at the 5' end of the ADA gene: one in the first exon and one in the first intron (J. W. Innis and R. E. Kellems, Mol. Cell. Biol. 11:5398-5409, 1991). Here we report the functional characterization of the intron 1 arrest site, located 137 to 145 nucleotides downstream of the cap site. We have determined, using gel filtration, that the intron 1 arrest site is a stable RNA polymerase II pause site and that the transcription elongation factor SII promotes read-through at this site. Additionally, the sequence determinants for the pause are located within a 37-bp fragment encompassing this site (+123 to +158) and can direct transcription arrest in an orientation-dependent manner in the context of the ADA and adenovirus major late promoters. Specific point mutations in this region increase or decrease the relative pausing efficiency. We also show that the sequence determinants for transcription arrest can function when placed an additional 104 bp downstream of their natural position.
In vivo anti-hyperglycemic and antioxidant potentials of ethanolic extract from Tecomella undulata (2012)

This study was undergone to evaluate the in-vivo anti-hyperglycemic and antioxidant potential of ethanolic extract of leaves of Tecomella undulata Seem. on streptozotocin-nicotinamide induced type 2 diabetic rats. Type 2 diabetes was induced by single intraperitoneal injection (i.p.) of 60 mg/kg streptozotocin, 15 minutes after the i.p administration of 110 mg/kg body weight of nicotinamide. The extract has shown significant blood glucose lowering effect in the oral glucose tolerance test (OGTT). The blood glucose level, cholesterol, glycogen contents, glycosylated hemoglobin, and antioxidant parameters (Malondialdehyde and Glutathione level) were estimated from the blood plasma by using standard kits to demonstrate the hypoglycemic and antioxidant effect in treated animals. The data showed that the extract have significant influence on the above biochemical parameters. Thus ethanolic fraction of the plant Tecomella undulata can be used as new candidate for antihyperglycemic and antioxidant.
A Review of Compensating Type Custom Power Devices for Power Quality Improvement (2008)

With the deregulation of the electric power energy market, providing quality power has become an important concern of both power suppliers and customers. Efforts have been made to improve the power quality using passive filters, active power filters, hybrid filters and the new concept of custom power. This paper presents a comprehensive review of compensating custom power devices mainly DSTATCOM (distribution static compensator), DVR (dynamic voltage restorer) and UPQC (unified power quality compensator). It is aimed at providing a broad perspective on the status of compensating devices in electric power distribution system to researchers and application engineers dealing with power quality problems. Classified references presented in this paper would serve quick and useful applications.
Enabling semantic search in P2P systems through a three-layer Distributed Service Registry. (2009)

Abstract. Effective searching and access to data and functionalities in P2P environments require platform independency for integrating differ-ent sources over the Web and must take into account the presence of high dynamicity and the absence of a common resource conceptualization. Ser-vice Oriented Architecture enables to export shared data and functional-ities through Web Services, thus enabling platform-independent resource discovery. In P2P networks, available services are published and retrieved on different registries, that are autonomous and heterogeneous. Semantic Web Service technology is suggested to face semantic heterogeneity. We propose a virtual Distributed Service Registry (DSR) and a reference architecture to support semantic search over P2P networks. The DSR is organized on three layers: a logical layer, in which single registries are connected as peers in a P2P network; a semantic layer, where peer reg-istries are semantic-enriched and semantic links between peer registries holding similar services are established; a mapping layer, where mappings between similar services are defined to support service interoperability between heterogeneous peers. In the reference architecture, each peer is equipped with: a service knowledge evolution manager, to update peer local knowledge through interactions with other peers; a semantic search assistant, that exploits the three-layer organization of the DSR to satisfy requested user searches, also suggesting possible alternative services or related services suitable for composition, on the basis of semantic links. 1
Characteristics of High Temperature Fatigue Fracture in Spring Steels after Shot Peening (2006)

The lightness of components that was required in automobile and machinery industry requires high strength of components. In particular, manufacturing process and new materials development for solving the fatigue facture problem attendant upon high strength of suspension of automobile are actively advanced. In this paper, the effect of compressive residual stress of spring steel(JISG SUP-9)by shot-peening on fatigue crack growth characteristics in high temperature()was investigated with considering fracture mechanics. So, we can obtaint the followings. (1) Compressive residual stress is decreased with increasing the test temperature. (2) The effect of compressive residual stress on fatigue crack growth behavior in high temperature is increased below . (3) It was investigated by SEM that the constraint of compress residual stress for plastic zone of fatigue crack tip was decreased in high temperature as compared with room temperature.