gebhart/patrepeval huggingface dataset:
Synchronization algorithm of Resonator Isolation system for efficient power and data transmission (2012)

Technology of using mid-range magnetic resonant coupling has enabled efficient power transmission in near field. The advantage of using resonant coupling as a power transmitting method lies in the high efficiency, omnidirectional, and no electromagnetic radiation on human body. When a continuous wave (AC) is used as the power source, the resonant coupling method is required to match the impedances at both transmitting and receiving ends in order to achieve the high efficiency. Instead of using an AC, the Resonator Isolation (RI) system uses an instantaneous periodic delivery (IPD) method to effectively transfer power and data at the same time. Using IPD method, the RI system does not require impedance matching at both ends. However, the operation between the transmitter and the receiver in the RI system needs to be synchronized. Since the transmission efficiency highly depends on the synchronization performance, the RI system requires an accurate synchronizing method. In this paper, we describe how to synchronize the transmitter and the receiver in the RI system, and present an accurate synchronization can be achieved with simple circuitry and operation.
Human Pluripotent Stem Cells in Neurodegenerative Diseases: Potentials, Advances and Limitations (2019)

Neurodegenerative diseases are progressive and uncontrolled gradual loss of motor neurons function or death of neuron cells in the central nervous system (CNS) and the mechanisms underlying their progressive nature remain elusive. There is urgent need to investigate therapeutic strategies and novel treatments for neural regeneration in disorders like Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS). Currently, the development and identification of pluripotent stem cells enabling the acquisition of a large number of neural cells in order to improve cell recovery after neurodegenerative disorders. Pluripotent stem cells which consist of embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) are characterized by their ability to indefinitely self-renew and the capacity to differentiate into different types of cells. The first human ESC lines were established from donated human embryos; while, because of a limited supply of donor embryos, human ESCs derivation remains ethically and politically controversial. Hence, hiPSCs-based therapies have been shown as an effective replacement for human ESCs without embryo destruction. Compared to the invasive methods for derivation of human ESCs, human iPSCs has opened possible to reprogram patient-specific cells by defined factors and with minimally invasive procedures. Human pluripotent stem cells are a good source for cell-based research, cell replacement therapies and disease modeling. To date, hundreds of human ESC and human iPSC lines have been generated with the aim of treating various neurodegenerative diseases. In this review, we have highlighted the recent potentials, advances, and limitations of human pluripotent stem cells for the treatment of neurodegenerative disorders.
Optoelectronics based on 2D TMDs and heterostructures (2017)

2D materials including graphene and TMDs have proven interesting physical properties and promising optoelectronic applications. We reviewed the growth, characterization and optoelectronics based on 2D TMDs and their heterostructures, and demonstrated their unique and high quality of performances. For example, we observed the large mobility, fast response and high photo-responsivity in MoS2, WS2 and WSe2 phototransistors, as well as the novel performances in vdW heterostructures such as the strong interlayer coupling, am-bipolar and rectifying behaviour, and the obvious photovoltaic effect. It is being possible that 2D family materials could play an increasingly important role in the future nano- and opto-electronics, more even than traditional semiconductors such as silicon.
Frequency offset and I/Q imbalance compensation for OFDM direct-conversion receivers (2004)

Two types of RF front-end imperfections in direct-conversion receivers, namely frequency offset and I/Q imbalance, are addressed. The I/Q imbalance not only introduces an unwanted image interference, but also degrades the accuracy of carrier estimation. We propose a pilot-based scheme for both frequency offset and I/Q imbalance compensation. A nonlinear least squares (NLS) frequency estimator, robust to the I/Q imbalance, is developed. Also derived is an I/Q compensation structure that consists of two stages: the frequency dependent imbalance is compensated with an FIR filter whereas the frequency independent part is corrected with an asymmetric phase compensator. The compensation coefficients are optimized by restoring the phase rotation embedded in the pilot symbols.
Catalysis by enzymes entrapped into hydrated surfactant aggregates having lamellar or cylindrical (hexagonal) or ball‐shaped (cubic) structure in organic solvents (1986)

Instead of aqueous solutions, universally recognized in enzymology, ternary systems of the water/organic solvent/surfactant type are suggested as liquid-crystalline media for enzymatic reactions. Two systems, water/octane/Aerosol OT and water/cyclohexane/Brij 96, have been used to solubilize acid and alkaline phosphatases and peroxidase. The enzymes under study do function in liquid-crystalline mesophases having lamellar, cylindrical (reversed hexagonal) and ball-shaped (reversed cubic) packing of the surfactant molecules. A significant result is that the phase transition from one liquid-crystalline structure to another entails, as a rule, a reversible change in the catalytic activity of the solubilized enzyme.
Spectrophotometric Determination of Cyanide with Isonicotinic Acid and Barbituric Acid (1981)

Abstract A spectrophotometric method for the determination of cyanide in water with an isonicotinic acid-barbituric acid reagent having no offensive odor of pyridine is described. Cyanide reacts with chloramine-T, and then the reagent is added to form a soluble violet-blue product, which is measured at 600 nm. Maximum absorbance is achieved in 15 min at 25°C, and remains constant for about 30 min. This method is applicable to water samples containing 0-0.5 μg CN- ml−1. The reagent is stable for at least 4 weeks, if stored at about 10°C. The method is compared with a similar method using sodium isonicotinate and pyrazolone. Application of these methods to determination of cyanide in several plating wastewaters gave good results showing fair agreement with those obtained by the conventional pyridine-pyrazolone method.
First Principles Simulation of Grain Boundary Sliding (1996)

We present the results of a total-energy pseudopotential simulation of the sliding process at a $\ensuremath{\Sigma}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}5$ (001) twist grain boundary in germanium. Sliding involves a stick-slip mechanism with local rebonding among a few atoms, accompanied by the clearance of gap states. At large strain, spreading of disorder from the boundary interface produces a loss of strength in the system and would induce fracture. Finally we investigate the effects of temperature and strain rate on the sliding behavior.
Shape Recovery of Book Surface Using Two Shade Images Under Perspective Condition (1997)

A shape recovery problem of book surface using two shade images under the fully perspective environments is discussed. In order to simplify the problem, the whole recovery process is divided into three sequential and explicit steps: preprocessing, apparent shape recovery, and generation of ortho-image. The separation of albedo and shading with reduced effect of interreflections is done in preprocessing step by applying image processing and a phenomena-based model. Implicit equations governing the shading and observation have been transformed into explicit ones having minimized number of unknown parameter. A direct and unique recovery become possible by combining the transformed ones and the recurrence relation. A feed-back recovery process is implemented as a practical algorithm which overcomes self-shadows. The results of simulations and real experiments show the properness and acceptability of the proposed approach and the implemented algorithms.
A vacancy model of the heteropolytype epitaxy of SiC (2005)

A model for the transformation of SiC polytypes occurring during the growth of an epitaxial layer is suggested that is based on the variation over time of the concentration of carbon vacancies in a transition layer. Experimental data are analyzed in terms of this model. It is shown that the parameter η=Gτ/L T (L T is the thickness of the transition layer, G is the film growth rate, and τ is the lifetime of a vacancy in the transition layer) is invariant with respect to the method and temperature of the growth of the epitaxial layer. This parameter is determined only by the concentration of carbon vacancies in the substrate and in the film.
and , two new yeast species from the clade associated with solitary bees in the Atlantic rain forest of Brazil (2005)

Two new ascomycetous yeast species belonging to the Starmerella clade were discovered in nests of two solitary bee species in the Atlantic rain forest of Brazil. Candida riodocensis was isolated from pollen-nectar provisions, larvae and fecal pellets of nests of Megachile sp., and Candida cellae was found in pollen-nectar provisions of Centris tarsata. Analysis of the sequences of the D1/D2 large-subunit ribosomal DNA showed that C. riodocensis is phylogenetically related to C. batistae, and the closest relative of C. cellae is C. etchellsii. The type strains are C. riodocensis UFMG-MG02 (=CBS 10087(T) = NRRL Y-27859(T)) and C. cellae UFMG-PC04 (=CBS 10086(T) = NRRL Y-27860(T)).
Bowed string synthesis with force feedback gesture interaction (2001)

The CORDIS ANIMA formalism allows to model physical objects according to a modular methodology which guaranties, at each step of modeling, the energetic consistency of the behavior of the model. Maintening this energetic consistency is a crucial point in the use of interactive simulation by means of PhysicalModeling and Force Feedback Gesture Devices.This paper presents a CORDIS-ANIMA model of bowed string, which closely links the properties of the produced sounds to the gesture and energetic investment of the player.A pertinent feature of real bowed instruments is their high sensitivity to the gesture dynamic.The proposed model restitutes this sensitivity providing high musical quality and nuances in the synthetic sounds.In addition, the use of the consistent physically-based modular designing presented here, allows the designer to lead towards a minimal physical model able to restitute this so pertinent feature.
A Hybrid Deep Learning-Based Model for Anomaly Detection in Cloud Datacenter Networks (2019)

With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the need to process streaming data on real-time basis has become essential. However, the existing data stream management systems are not efficient in analyzing the network log big data for real-time anomaly detection. Further, the existing anomaly detection approaches are not proficient because they cannot be applied to networks, are computationally complex, and suffer from high false positives. Thus, in this paper a hybrid data processing model for network anomaly detection is proposed that leverages grey wolf optimization (GWO) and convolutional neural network (CNN). To enhance the capabilities of the proposed model, GWO and CNN learning approaches were enhanced with: 1) improved exploration, exploitation, and initial population generation abilities and 2) revamped dropout functionality, respectively. These extended variants are referred to as Improved-GWO (ImGWO) and Improved-CNN (ImCNN). The proposed model works in two phases for efficient network anomaly detection. In the first phase, ImGWO is used for feature selection in order to obtain an optimal trade-off between two objectives, i.e., reduced error rate and feature-set minimization. In the second phase, ImCNN is used for network anomaly classification. The efficacy of the proposed model is validated on benchmark (DARPA'98 and KDD'99) and synthetic datasets. The results obtained demonstrate that the proposed cloud-based anomaly detection model is superior in comparison to the other state-of-the-art models (used for network anomaly detection), in terms of accuracy, detection rate, false positive rate, and F-score. In average, the proposed model exhibits an overall improvement of 8.25%, 4.08%, and 3.62% in terms of detection rate, false positives, and accuracy, respectively; relative to standard GWO with CNN.
Debugging run-time errors (2003)

The usual way of locating logical errors is to use a break-and-inspect-style debugging tool. The programmer uses the debugger to search for a small part of the program's execution that does not proceed as expected. Existing debuggers enable the programmer to make this search, but do not assist in the search. Techniques are presented for assisting the programmer in the error diagnosis process. A debugging tool incorporating these techniques assists the programmer in directing the course of the diagnosis, in determining which variables need to be examined at any breakpoint, in deciding whether the variables examined have the correct values, and in detecting the use of pointers to storage locations which have been previously released.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3) (2014)

To solve the VAST Challenge 2014 MC3 we use NStreamAware, which is our real-time visual analytics system to analyze data streams. We make use of various modern technologies like Apache Spark and others to provide high scalability and incorporate new technologies and show their use within visual analytics applications. Furthermore, we developed a web application, called NVisAware, to analyze and visualize data streams to help the analyst to focus on the most important time segments. We extracted so-called sliding slices, which are aggregated summaries calculated on a sliding window and represent them in a small-multiple like visualization containing various small visualizations (e.g., word clouds) to present an overview of the current time segment. We show how these techniques can be used to successfully solve the given tasks.
Removal of Iron From Aquous Solution by a Low Cost Adsorbent (2012)

Heavy metals are often present in water and wastewater as contaminants. From the public health and environmental protection point of view, it is important that their concentration should be within the permissible limit. Many technologies for heavy metals removal have been evolved, like ion exchange, chemical precipitation and reverse osmosis which are often expensive. Adsorption is a commonly used method for the removal of heavy metals from aquous solution. However, for the process to be economical the adsorbent should be easily and cheaply available in abundance and it should require minimal or no pretreatment. The present stuy focuses on iron removal by adsorption using blast furnace slag as a low-cost adsorbent. Batch experiments were conducted to determine the effects of pH, contact time, metal concentration, adsorbent dose and particle size. The adsorption of iron was found to be maximum (96.6%) at pH 6, temperature of 30°C, metal concentration of 30 mg/L and contact time of 60 min. One gram of the adsorbent material of 90 micron size, shows maximum adsorption at pH 6 within the contact time of 60 min for the concentration of 30 mg/L iron solution. The adsorption phenomena follows the Langmuir irotherm and the adsorption kinetics follows Pseudo second order reaction with R2 = 0.998 and Y = 0.0337x + 0.05.
Visualizing the World Wide Web (1996)

We discuss some principles that we believe are important in creating useful visualizations of the World Wide Web. They are: layout, abstraction, focus, and interaction. We illustrate these points with examples from the work of our group at the University of Toronto.
Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial (2013)

this study has found that bundled interventions involving both home visits and calls are more effective in reducing readmissions. Many of the transitional care programmes use all-qualified nurses, and this study reveals that a mixed skills model seems to bring about positive effects as well.
Propylene (2005)

Abstract Propylene is an important industrial chemical used as a feedstock in the production of polypropylene, acrylonitrile, propylene oxide, 2‐propanol, alkylated fuels, and other chemicals. It is obtained from steam cracking in pyrolysis furnaces in olefins plants and in refinery catalytic‐cracking reactors. Distillation in multitray columns yields purities in excess of 99.5 wt%. The physical and chemical properties of propylene are well characterized. Under ambient conditions, it is a colorless gas and has anesthetic properties at high concentrations. Propylene is usually transported in the liquid state at high pressures. Proper precautions must be taken when handling propylene.
Scheduling for interactive operations in parallel video servers (1997)

Providing efficient support for interactive operations such as fast-forward and fast-backward is essential in video-on-demand and other multimedia server systems. The authors present two basic approaches for scheduling interactive operations, the prefetching approach and the grouping approach. Scheduling algorithms are presented for both fine-grain and coarse-grain data blocks. These algorithms can precisely schedule video streams for both normal playout and interactive operations.
Comparative study of space time block codes and various concatenated turbo coding schemes (2002)

Space-time block codes provide substantial diversity advantages in multiple transmit antenna assisted systems at a low decoding complexity. In this contribution, we concatenate space-time codes with three turbo coding schemes, namely turbo BCH (TBCH) codes, turbo convolutional (TC) codes and turbo trellis coded modulation (TTCM) schemes for the sake of achieving significant coding gain. The issues of mapping coded bits of the TBCH and TC schemes to different protection classes of various multilevel modulation schemes is also addressed. Finally, the performance and associated complexity of the three turbo schemes is compared.
Fluorine effects on the dipole structures of the Al2O3 thin films and characterization by spectroscopic ellipsometry (2007)

Fluorine-terminated chemical bonds and dipole structures within an Al2O3 layer were investigated in this study. Spectroscopic ellipsometry (SE) was employed to estimate the characteristics of fluorinated Al2O3. The parameters S0 and λ0 extracted from SE were analyzed to detect the influence of F-terminated bonding. Al–O bonds were replaced by the Al–F bonds after fluorine was implanted on the silicon substrate. A physical model of dipole structures was proposed explaining the F incorporation phenomenon.
Mutagenesis of Micromonospora rosaria by using protoplasts and mycelial fragments (1983)

Both mycelial fragments and protoplasts were successfully employed for mutagenesis of Micromonospora rosaria NRRL 3718, and the results were compared. The optimal conditions and effective procedures for mutagenesis of M. rosaria by a chemical mutagen, N-methyl-N'-nitro-N-nitrosoguanidine, have been determined. Mutation was efficiently induced when mycelial fragments were treated with N-methyl-N'-nitro-N-nitrosoguanidine at a concentration of 0.3 to 0.5 mg/ml in the reaction buffer of pH 7.0. Optimal treatment time was 20 to 40 min. Ampicillin treatment was very effective for enrichment of auxotrophs. Protoplasts showed much higher sensitivity to the lethal effect of N-methyl-N'-nitro-N-nitrosoguanidine. Although protoplasts have some advantage of single cell characteristics, the frequency of auxotrophs obtained was somewhat lower. Up to 4% of the colonies were shown to be auxotrophs under the well-defined conditions. This mutagenesis method with protoplasts or fragmented mycelia (or both) should be applicable to other actinomycetes that have limited or no sporulation.
Topic segmentation of speech through automatic speech recognition (2003)

Advances in technologies are making the generation and usage of\nmultimedia data easier, which is reflected by a society where multimedia\ndata is becoming a central part of life. Databases are at the base of\nmany applications, and are required to manage these new types of data.\n\nTraditional databases are not designed to manage multimedia data and\nmust therefore be redesigned and reimplemented. Among the important\nissues to incorporate are; the large size of the data, the continuous\nnature of data such as audio and video, and the potentially complex\nrelationships between different data elements.\n\nOne of the essential functions a database must provide is the ability to\nquery the stored data. For speech data, Automatic Speech Recognition\n(ASR) has provided a form of access to the content of the data by\nautomatically generating transcripts. The quality of these transcripts\nis at the current time more than ample to query for content.\n\nFor speech data, however, it is not enough to merely identify a topic\nwithin a longer audio stream. Speech data is temporal, and it can not be\nconsidered acceptable to present a user with a two hours long radio show\nin response to a query, if only ten minutes are pertinent to that query.\nA method for segmenting speech data based on the topic of conversation\nshould therefore be enabled.\n\nFor this thesis an experiment was performed to test the validity of\ntopic segmentation through ASR generated transcripts. Streamed audio\ndata was downloaded from BBC World Service and divided into smaller\nsegments of equal length. These segments were then transcribed by the\nASR engine ViaVoice, and the resulting text files queried for various\ntopics known to be present in the audio data.\n\nThe results of the experiment indicate that topic segmentation of speech\nthrough ASR generated transcripts is a valid approach. By querying the\ntranscripts the majority of the topics were correctly identified and\nlocated within the audio stream. There were no major retrieval errors\ncausing non-relevant data to receive unjust attention. However, certain\ntopics were lost in the transcripts: This included both topics where the\nkeywords were entirely new words unknown to the engine, and topics with\nwell established keywords.
Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images (2012)

The noninvasive diagnosis of the malignant tumors is an important issue in research nowadays. Our purpose is to elaborate computerized, texture-based methods for performing computer-aided characterization and automatic diagnosis of these tumors, using only the information from ultrasound images. In this paper, we considered some of the most frequent abdominal malignant tumors: the hepatocellular carcinoma and the colonic tumors. We compared these structures with the benign tumors and with other visually similar diseases. Besides the textural features that proved in our previous research to be useful in the characterization and recognition of the malignant tumors, we improved our method by using the grey level cooccurrence matrix and the edge orientation cooccurrence matrix of superior order. As resulted from our experiments, the new textural features increased the malignant tumor classification performance, also revealing visual and physical properties of these structures that emphasized the complex, chaotic structure of the corresponding tissue.