gebhart/patrepeval huggingface dataset:
Adaptive On/Off Delay-Compensated Active Rectifiers for Wireless Power Transfer Systems (2016)

An adaptive on/off delay-compensation technique is proposed to improve the performance of CMOS active rectifiers for wireless power transfer (WPT) systems. The effects of the on/off delays on the performance of the active rectifiers with either a parallel-resonant or a series-resonant circuit at the secondary coil are studied, which include power conversion efficiency (PCE), voltage conversion ratio (VCR) and output voltage ripple. By adding two feedback loops to the active diodes to generate the switched-offset currents for the comparators adaptively, both onand off-delays are compensated for accurately against PVT variations and mismatches. As a design example, a fully integrated active rectifier for biomedical applications with a parallel-resonant secondary was fabricated in a standard 0.35 μm CMOS process. With an AC input that ranges from 1.8 to 3.6 V, the measured VCR is higher than 90% and the measured PCE is higher than 89.1% for a load resistor of 500 Ω. In particular, the PCE is increased by 9% compared to the active rectifier without using the proposed technique.
Improving customer centricity by End-to-End monitoring and big data analytics (2014)

In recent years, the monitoring of End-to-End protocols from inside the mobile data network has become a powerful tool to gain insight into subscriber specific information on usage behavior and quality of experience. With the advent of big data in mobile networks, the power of statistical data analysis can now be utilized in order to answer so far untreatable questions both in the area of network operations and customer experience management. In order to make full advantage of the capabilities, an open framework is needed which allows the flexible and problem-driven design of solutions. This implies monitoring products to change from out-of-the box solutions towards tools enabling problem-related measurement design which should be supported by appropriate standards which are seen to come in the context of network function virtualization.
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices (2018)

When an individual purchases a home, they simultaneously purchase its structural features, its accessibility to work, and the neighborhood amenities. Some amenities, such as air quality, are measurable while others, such as the prestige or the visual impression of a neighborhood, are difficult to quantify. Despite the well-known impacts intangible housing features have on house prices, limited attention has been given to systematically quantifying these difficult to measure amenities. Two issues have led to this neglect. Not only do few quantitative methods exist that can measure the urban environment, but that the collection of such data is both costly and subjective. We show that street image and satellite image data can capture these urban qualities and improve the estimation of house prices. We propose a pipeline that uses a deep neural network model to automatically extract visual features from images to estimate house prices in London, UK. We make use of traditional housing features such as age, size, and accessibility as well as visual features from Google Street View images and Bing aerial images in estimating the house price model. We find encouraging results where learning to characterize the urban quality of a neighborhood improves house price prediction, even when generalizing to previously unseen London boroughs. We explore the use of non-linear vs. linear methods to fuse these cues with conventional models of house pricing, and show how the interpretability of linear models allows us to directly extract proxy variables for visual desirability of neighborhoods that are both of interest in their own right, and could be used as inputs to other econometric methods. This is particularly valuable as once the network has been trained with the training data, it can be applied elsewhere, allowing us to generate vivid dense maps of the visual appeal of London streets.
Automatic creation of a reference corpus for political opinion mining in user-generated content (2009)

We propose and evaluate a method for automatically creating a reference corpus for training text classification procedures for mining political opinions in user-generated content. The process starts by compiling a collection of highly opinionated comments posted by users on an on-line newspaper. Then, we define and use a set of manually-crafted high-precision rules supported by a large sentiment-lexicon in order to identify sentences in each comment expressing opinions about political entities. Finally, the opinions found are propagated to the remainder sentences of the comment mentioning the same entities, thus increasing the number and variety of opinion-bearing sentences. Results show that most of the rules can identify negative opinions with very high precision, and these can be safely propagated to the remainder sentences in the comment in almost 100% of the cases. Due to problems arising from irony, the precision of identification drops for positive opinions, but several rules still reach high precision. Propagation of positive opinions is correct in about 77% of the cases, and most errors at this stage result from irony and polarity inversion throughout the comment.
Traceable document flows (2004)

Ad hoc data exchange, e.g., by sending email attachments, leads to multiple copies or versions of a document at dispersed nodes in a network. However, their relationships such as is-a-version-of are lost. The relationships between a single document's existing versions together with the versions themselves form a so-called document flow, which allows to trace where a document originated and how it was distributed from node to node. The paper proposes an ontological, machine-processable framework for semantically describing and thus revealing document flows. The presented approach provides a light-weight communication infrastructure for information exchange and collaboration that is based on distributed versioning of documents and offers flexible document annotation mechanisms. After describing our infrastructure model, we present the implemented prototype and discuss a range of application scenarios for traceable document flows (TDFs).
Training method of the excitation codebooks for code‐excited linear prediction (1994)

Abstract This paper considers the codebook for low bit‐rate speech coding by code‐excited linear prediction (CELP) and the mapping table for the channel code. It also proposes an optimization procedure for sequential training based on the structured excitation codebook. In the discussions of structurization of the codebook, the conjugate structure to represent the output by the sum of two vectors, the pitch synchronized processing, rotating use of the codebook, the time‐domain sloped gain, and the integrated mapping to the channel code are considered. The distortion measure used in the training is the same closed‐loop measure as is used in the coding. In other words, the distortion between the input speech and the synthesized speech at the perceptually weighted filter output is minimized. By training the codebook, the SNR of the coded speech is improved by approximately 1 dB. The improvement in speech quality is also verified. It is also verified that the robustness against bit error can be improved by the training of the mapping table to the channel code, as well as by training based on the distortion measure considering bit error.
Unified Modeling Language Reference Manual, The (2nd Edition) (2004)

“If you are a serious user of UML, there is no other book quite like this one. I have been involved with the UML specification process for some time, but I still found myself learning things while reading through this book-especially on the changes and new capabilities that have come with UML.” i¾ i¾ i¾ i¾ i¾ i¾ i¾ i¾ i¾ -Ed Seidewitz, Chief Architect, IntelliData Technologies CorporationThe latest version of the Unified Modeling Language-UML 2.0-has increased its capabilities as the standard notation for modeling software-intensive systems. Like most standards documents, however, the official UML specification is difficult to read and navigate. In addition, UML 2.0 is far more complex than previous versions, making a thorough reference book more essential than ever.In this significantly updated and expanded edition of the definitive reference to the standard, James Rumbaugh, Ivar Jacobson, and Grady Booch-the UML's creators-clearly and completely describe UML concepts, including major revisions to sequence diagrams, activity models, state machines, components, internal structure of classes and components, and profiles. Whether you are capturing requirements, developing software architectures, designing implementations, or trying to understand existing systems, this is the book for you.Highlights include: Alphabetical dictionary of articles covering every UML concept Integrated summary of UML concepts by diagram type Two-color diagrams with extensive annotations in blue Thorough coverage of both semantics and notation, separated in each article for easy reference Further explanations of concepts whose meaning or purpose is obscure in the original specifications Discussion sections offering usage advice and additional insight into tricky concepts Notation summary, with references to individual articles A hyperlinked version of the book in Adobe Reader format on CD-ROM, an excellent resource for browsing or searching the text for specific information An enhanced online index available on the book's web site allowing readers to quickly and easily search the entire text for specific topicsThe result is an indispensable resource for anyone who needs to understand the inner workings of the industry standard modeling language.
Design of Mobile Learning System based on Context-Aware Technology (2010)

Mobile-learning satisfies the demand of learning anytime and anywhere.However,several factors in the real situation may hinder the development of Mobile-learning,such as personality of the user,complexity of learning environment and limitation of mobile terminals.Thus a mobile-learning system based on context-aware technology is desiqued,which could deal with complex factors,improve the interaction between the user and the system,and realize an intelligent and personalized mobile-learning system.
Citrus Tissue Extracts Affect Juice Cloud Stability (1997)

ABSTRACT Salt extractable proteins were isolated from hand expressed juice, rag and peel of Valencia oranges. Each tissue extract was divided into dialysis supernatant (DS) and precipitate (DP) (forms during dialysis). DP, DS and DS heated for 2 min at 80°C (HDS) were added to pasteurized, reconstituted frozen concentrated orange juice at 5 U · mL −1 of pectinmethylesterase. Samples were incubated either at 25°C for 14 days or 4°C for 28 days and periodically sampled to determine the effects of tissue extracts on juice cloud stability. Tissue specific differences were observed for the rate of juice cloud precipitation and among the HDS, DS, and DP fractions of a given tissue. HDS fractions destabilized juice cloud more rapidly than DS or DP at both 25 and 4°C.
A generic floorplanning methodology (2002)

One of the important and time consuming stages of design automation is the physical layout design cycle. The physical layout cycle itself consists of several steps, such as partitioning, floorplanning, placement, synthesis, muting and compaction. In this paper, a generic floorplanning methodology is presented. The methodology is based on the hierarchical cooperation of two context-free languages (SCAN and GEOMETRIA). In order to achieve an acceptable planning, the SCAN language defines the partitioning of the floor area and the global acquisition strategy (scan patterns) for the placement of the macro blocks. On the other hand, GEOMETRIA language deals with the local synthesis of the block under the constraints superimposed by global scan patterns. The results obtained by this methodology are very promising in comparison with other floorplanning methodologies.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
A Facile and Versatile Route to 2-Substituted-4(3H)-Quinazolinones and Quinazolines (2001)

A range of 2-aryl and 2-alkyl quinazolinones have been prepared in moderate to good yields from the reaction of anthranilic acid and the appropriately substituted imidate in a facile, mild, one-pot procedure. Subsequent reaction with phosphorus oxychloride afforded the corresponding 4-chloro-2-substituted quinazolines, which are useful synthetic intermediates, in good to high yields. Product isolation was facilitated by the development of work up procedures for both reactions that did not include purification by column chromatography.
Biomarker of exposure level data set in smokers switching from conventional cigarettes to Tobacco Heating System 2.2, continuing smoking or abstaining from smoking for 5 days (2016)

Levels of biomarkers of exposure to selected harmful and potentially harmful smoke constituents found in cigarette smoke, in addition to nicotine were measured in 160 smokers randomized for 5 days to continuing smoking conventional cigarettes (41 participants), switching to Tobacco Heating System 2.2 (THS 2.2) (80 participants), or abstaining from smoking (39 participants). The data reported here are descriptive statistics of the levels of each biomarker of exposure expressed as concentrations adjusted to creatinine; at baseline, and at the end of the study, and their relative change from baseline. Reductions in the levels of biomarkers of exposure when expressed as quantity excreted, are also reported. Detailed descriptions of bioanalytical assays used are also provided. The data presented here are related to the article entitled "Evaluation of the Tobacco Heating System 2.2. Part 8: 5-Day randomized reduced exposure clinical study in Poland" (Haziza et al., 2016) [1].
Japanese encephalitis: current worldwide status. (1985)

The changing epidemiological and distribution patterns of Japanese encephalitis in various southern and east Asian countries are described. Immunization is considered to be the only practical way to control the infection. Several vaccines have been developed and two types of inactivated vaccine are now available for use in man.
Thiomethylation and thiohydroxylation –a new pathway of metabolism of heterocyclic compounds (1982)

1. G.l.c.--mass spectral analysis of t.l.c. fractions of urine samples of patients treated with 5-(2-chloroethyl)-4-methylthiazole (clomethiazole), has revealed two minor metabolites, each with two sulphur atoms. 2. Their structures were found to be 2-methylthio-clomethiazole and 5-acetyl-4-methyl-2-mercapto-thiazole, formed by thiomethylation and thiohydroxylation, respectively, of the original compound. 3. The structures of six other minor metabolites resulting from side-chain degradation have been elucidated. 4. The occurrence of metabolites with substituents at position 2 of the heterocyclic nucleus is assumed to be initiated by oxidative attack at the nitrogen, followed by nucleophilic substitution in position 2.
Photo-patternable, stretchable and electrically conductive graft copolymers of poly(3-hexylthiophene) (2019)

A multifunctional conjugated polymer (CP) of poly(3-hexylthiophene) grafted with photo-patternable and stretchable side chains is reported.
<i>PKC1</i> Is Essential for Protection against both Oxidative and Nitrosative Stresses, Cell Integrity, and Normal Manifestation of Virulence Factors in the Pathogenic Fungus <i>Cryptococcus neoformans</i> (2008)

Cell wall integrity is crucial for fungal growth, survival, and pathogenesis. Responses to environmental stresses are mediated by the highly conserved Pkc1 protein and its downstream components. In this study, we demonstrate that both oxidative and nitrosative stresses activate the PKC1 cell integrity pathway in wild-type cells, as measured by phosphorylation of Mpk1, the terminal protein in the PKC1 phosphorylation cascade. Furthermore, deletion of PKC1 shows that this gene is essential for defense against both oxidative and nitrosative stresses; however, other genes involved directly in the PKC1 pathway are dispensable for protection against these stresses. This suggests that Pkc1 may have multiple and alternative functions other than activating the mitogen-activated protein kinase cascade from a "top-down" approach. Deletion of PKC1 also causes osmotic instability, temperature sensitivity, severe sensitivity to cell wall-inhibiting agents, and alterations in capsule and melanin. Furthermore, the vital cell wall components chitin and its deacetylated form chitosan appear to be mislocalized in a pkc1Delta strain, although this mutant contains wild-type levels of both of these polymers. These data indicate that loss of Pkc1 has pleiotropic effects because it is central to many functions either dependent on or independent of PKC1 pathway activation. Notably, this is the first time that Pkc1 has been implicated in protection against nitrosative stress in any organism.
Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction (2019)

A pedestrian detection system is a crucial component of advanced driver assistance systems since it contributes to road flow safety. The safety of traffic participants could be significantly improved if these systems could also predict and recognize pedestrian's actions, or even estimate the time, for each pedestrian, to cross the street. In this paper, we focus not only on pedestrian detection and pedestrian action recognition but also on estimating if the pedestrian's action presents a risky situation according to time to cross the street. We propose 1) a pedestrian detection and action recognition component based, on RetinaNet; 2) an estimation of the time to cross the street for multiple pedestrians using a recurrent neural network. For each pedestrian, the recurrent network estimates the pedestrian's action intention in order to predict the time to cross the street. We based our experiments on the JAAD dataset, and show that integrating multiple pedestrian action tags for the detection part when merge with a recurrent neural network (LSTM) allows a significant performance improvement.
An All-Digital Transmitter With a 1-Bit DAC (2007)

This paper presents a practicable scheme for building a high-frequency, direct digital-to-RF transmitter. The transmitter uses a simple look-up table to generate a binary output stream which then is filtered to produce a radiated signal, so that there is no need for precise digital-to-analog converters. The look-up table entries are produced by a new constrained list decoding algorithm operating over the real alphabet. This all-digital transmitter can be a modulator only, or a combined encoder and modulator and supports the direct generation of RF signals using currently available high-speed CMOS. The paper concludes with spectra having carrier frequencies over 10 GHz and data rates up to 1200 Mbps.
<i>Kappa</i>‐opioid receptor agonists increase locomotor activity in the monoamine‐depleted rat model of parkinsonism (1998)

Excessive glutamate transmission in the basal ganglia is a major factor in the neural mechanisms underlying parkinsonian akinesia. Activation of kappa opioid receptors causes a presynaptic reduction in glutamate release. Kappa opioid receptors are concentrated in those regions of the basal ganglia associated with increased glutamate transmission in parkinsonism. In this study, we use the alpha-methyl-p-tyrosine and reserpine-treated rat model of parkinsonism to investigate whether systemic administration of the kappa opioid agonists enadoline (CI-977) and U69,593 can alleviate the symptoms of parkinsonism either alone or in conjunction with dopamine replacement therapy. We report that, when administered alone, both enadoline and U69,593 can increase locomotion in monoamine-depleted rats. No increase in locomotor activity was seen after kappa opioid agonist administration in non-parkinsonian rats. The responses to kappa opioid agonists were blocked by co-administration of either the nonspecific opioid receptor antagonist naloxone or the selective kappa opioid receptor antagonist nor-binaltorphimine (nor-BNI). An important finding is that when enadoline and L-dopa are administered together, their anti-akinetic properties are synergistic. Thus, the doses of enadoline and L-dopa required to alleviate akinesia when administered together are lower than either administered alone. These data illustrate the importance of kappa opioid receptors in the neural mechanisms controlling voluntary movement and suggest that kappa opioid agonists may have a role as adjuncts to dopamine replacement in the management of Parkinson's disease.
Retinal ganglion cell protection by 17‐β‐estradiol in a mouse model of inherited glaucoma (2007)

Glaucoma is the second leading cause of blindness in the world. The ultimate cause of vision loss due to glaucoma is thought to be retinal ganglion cell (RGC) apoptosis. Neuroprotection of RGC is becoming an important approach of glaucoma therapy. Several lines of evidence suggest that estrogen has neurotrophic and neuroprotective properties. In this study, we examine the role of estrogen in preventing RGC loss in DBA/2J mouse, an in vivo model of an inherited (pigmentary) glaucoma. Two-month-old female DBA/2J mice were anesthetized and ovariectomized with or without subcutaneous 17beta-estradiol (betaE2) pellet implantation. RGC survival was evaluated from flat-mounted whole retinas by counting retrograde-labeled cells. The loss of nerve fibers and RGC were also evaluated in paraffin-fixed retinal cross sections. Biochemical alterations in the retinas of DBA/2J mice in response to systemic injection of betaE2 were also examined. We have made several important observations showing that: (1) betaE2 treatment reduced the loss of RGC and neurofibers through inhibition of ganglion cell apoptosis, (2) betaE2 activated Akt and cAMP-responsive-element-binding-protein (CREB), (3) betaE2 up-regulated thioredoxin-1 (Trx-1) expression, (4) betaE2 reduced the increased activations of mitogen-activated protein kinases (MAPK) and NF-kappaB, (5) betaE2 inhibited the increased interleukin-18 (IL-18) expression, and (6) treatment with tamoxifen, an estrogen receptor antagonist, blocked betaE2-mediated activation of Akt and inhibition of MAPK phosphorylation in the retinas of DBA/2J mice. These findings suggest the possible involvement of multiple biochemical events, including estrogen receptor/Akt/CREB/thioredoxin-1, and estrogen receptor/MAPK/NF-kappaB, in estrogen-mediated retinal ganglion cell protection.
Circadian variation in fibrinolytic activity in patients with variant angina. (1994)

In patients with variant angina there was a circadian variation in fibrinolytic activity, which was lowest in the early morning, and impaired fibrinolytic activity particularly in the early morning, when attacks of angina occur most frequently.