gebhart/patrepeval huggingface dataset:
A Fast Maximum Likelihood-Based Estimation of a Modal Model (2015)

In this paper, the ML-MM estimator, a multivariable frequency-domain maximum likelihood estimator based on a modal model formulation, will be represented and improved in terms of the computational speed and the memory requirements. Basically, the design requirements to be met in the ML-MM estimator were to have accurate estimate for both of the modal parameters and their confidence limits and, meanwhile, having a clear stabilization chart which enables the user to easily select the physical modes within the selected frequency band. The ML-MM method estimates the modal parameters by directly identifying the modal model instead of identifying a rational fraction polynomial model. In the ML-MM estimator, the confidence bounds on the estimated modal parameters (i.e., frequency, damping ratios, mode shapes, etc.) are derived directly by inverting the so-called Fisher information matrix and without using many linearization formulas that are normally used when identifying rational fraction polynomial-based models. Another advantage of the ML-MM estimator lies in its potential to overcome the difficulties that the classical modal parameter estimation methods face when fitting an FRF matrix that consists of many (i.e., 4 or more) columns, i.e., in cases where many input excitation locations have to be used in the modal testing. For instance, the high damping level in acoustic modal analysis requires many excitation locations to get sufficient excitation of the modes. In this contribution, the improved ML-MM estimator will be validated and compared with some other classical modal parameter estimation methods using simulated datasets and real industrial applications.
DEVD‐NucView488: a novel class of enzyme substrates for real‐time detection of caspase‐3 activity in live cells (2008)

Live-cell detection of intracellular enzyme activity requires that substrates are cell-permeable and that the generated products are easily detected and retained in cells. Our objective was to create a novel fluorogenic substrate that could be used for real-time detection of apoptosis in living cells. We have synthesized a highly cell-permeable caspase-3 substrate, DEVD-NucView488, by linking a fluorogenic DNA-binding dye to the caspase-3 recognition sequence that renders the dye nonfunctional. On substrate cleavage, the dye is released and becomes highly fluorescent on binding to DNA. DEVD-NucView488 detected caspase-3 activation within a live-cell population much earlier and with higher sensitivity compared with other apoptosis reagents that are currently available. Furthermore, cells incubated with DEVD-NucView488 exhibited no toxicity and normal apoptotic progression. DEVD-NucView488 is an ideal substrate for kinetic studies of caspase-3 activation because it detects caspase-3 activity in real-time and also efficiently labels DNA in nuclei of caspase-3-activated cells for real-time fluorescent visualization of apoptotic morphology. The strategy utilized in the design of this fluorogenic substrate can be applied in future endeavors to develop substrates for detecting real-time intracellular enzyme activity.
Discovery of dendrimers and dendritic polymers: A brief historical perspective* (2002)

Abstract A brief historical perspective relating the discovery of dendrimers and other dendritic polymers is presented. Dendritic polymers are recognized as the fourth major class of macromolecular architecture consisting of four sub‐ classes, namely, (1) random hyperbranched, (2) dendrigrafts, (3) dendrons, and (4) dendrimers. The previous literature is reviewed with anecdotal events leading to implications for dendrimers in the emerging science of nanotechnology. © 2002 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 40: 2719–2728, 2002
Resonant generation of terahertz optical sidebands from confined magnetoexcitons (1998)

We have probed the internal structure and nonlinear response of magnetoexcitons in GaAs/AlGaAs quantum wells by resonantly driving one- and two-photon internal transitions with intense terahertz electric fields. Strong near-bandgap emission lines, or optical sidebands, appear at frequencies ωNIR ± 2nωTHz, where ωNIR is the interband exciton-creation frequency, ωTHz is the frequency of the driving field, and n is an integer. The intensity of the sidebands exhibits pronounced enhancement when ωTHz coincides with transitions between magnetically tuned energy levels in the excitons, providing new and accurate information on the internal dynamics of excitons.
Separation and identification of antidepressants by acrylate‐based monolithic column capillary electrochromatography with UV detection (2016)

This paper details a method for separation and identification of six antidepressant compounds using an acrylate-based porous monolithic capillary. Detection takes place using CEC coupled with UV or mass spectrometric detection. The CEC-UV method provides an effective and efficient method for the separation and identification of the analytes. Spiked urine samples were utilized to check method capability, and a liquid-liquid extraction procedure was developed to perform sample extraction. Detection limits ranged from 10 to 30 ng/mL.
Introduction of Additional Elements in DVB-S2 for New System Applications (2007)

‡This paper proposes to improve the DVB­S2 standard, developed for the new generation of satellite broadcasting, in case of low cost and mobile equipments. It presents in details the DVB­S2 air interface and associated receiver architecture. It is shown how the latter can be conserved giving better performances at low signal to noise ratio when a regular framing and low efficient coding rates are introduced. The authors conclude that DVB­S2 can be used with mobile portable or hand­held terminals, with slight additions in the standard.
Correlation-based document clustering using web logs (2005)

A problem facing information retrieval on the web is how to effectively cluster large amounts of web documents. One approach is to cluster the documents based on information provided only by users' usage logs and not by the content of the documents. A major advantage of this approach is that the relevancy information is objectively reflected by the usage logs; frequent simultaneous visits to two seemingly unrelated documents should indicate that they are in fact closely related. In this paper, we present a recursive density based clustering algorithm that can adaptively change its parameters intelligently. Our clustering algorithm RDBC (Recursive Density Based Clustering algorithm) is based on DBSCAN, a density based algorithm that has been proven in its ability in processing very large datasets. The fact that DBSCAN does not require the pre-determination of the number of clusters and is linear in time complexity makes it particularly attractive in web page clustering. It can be shown that RDBC require the same time complexity as that of the DBSCAN algorithm. In addition, we prove both analytically and experimentally that our method yields clustering results that are superior to that of DBSCAN.
Some consideration on electromagnetic compitibility in can bus design of automobile (2010)

Controller Area Network (CAN) bus design in automobile need to take into account aspects on electromagnetic compatibility (EMC) for components, PCB, and system. With filter and connecting approaches considerations are presented in the work for protection of CAN bus system in automotive from electromagnetic interference.
InP membrane based broadband regenerator for silicon-based optical interconnect applications (2012)

We demonstrate the use of a Membrane-InP-Switch(MIPS) on-silicon as a signal regenerator. A receiver sensitivity enhancement >;2.5dB across the entire C-band and a tripling of Extinction Ratio(ER) for low ER signals at 1Gb/sec is demonstrated.
A method for the determination of N‐nitrosodiethanolamine in personal care products – collaboratively evaluated by the CTPA Nitrosamines Working Group (2006)

A procedure for the determination of N-nitrosodiethanolamine (NDELA) in personal care products was evaluated in collaborative studies by member organizations of the United Kingdom's Cosmetic Toiletry and Perfumery Association (CTPA) and LGC Limited, formerly known as the Laboratory of the Government Chemist (LGC). Samples were prepared depending on the matrix of the cosmetic product: aqueous samples were prepared by diluting in water followed by solid-phase extraction; emulsions, oils and solid materials were dissolved in dichloromethane and extracted with water. NDELA was separated from the sample matrix using reverse-phase liquid chromatography. The N-nitroso bond was cleaved by photolysis to give nitrite, which was colorimetrically quantified. The nitrite functional group reacted with sulphanilamide in an acid medium to form a diazonium ion which was then coupled with N-(1-naphthyl)ethylenediamine dihydrochloride according to the Griess reaction to give a purple-coloured azo dye that absorbed at 540 nm. Compared with other published methods for NDELA, the method described here is quick and easy to use. It has the required sensitivity and specificity, and can accurately and reliably quantify NDELA in a wide range of personal care product matrices.
Real-time camera control for videoconferencing over the Internet (2002)

In videoconferencing, which means a small group meeting, interactive distance learning and so on, there is a requirement to get required video at a remote site freely and easily by local control of a remote camera. However, there are some delays between camera control operations at a remote site and actual video images displayed on a local screen. Delays are caused by network delays between sender and receiver and by video compression delays. To operate a remote camera interactively, a user must control the device considering these delays. We describe these problems in the case of videoconferencing and develop a real time camera control system to solve them. Our approach does not involve reducing delays but showing delays for users by some indication under the current environment. With our proposed system, a user can easily operate a remote camera without considering network and compression delays. We use a new camera control protocol designed by us in our system. We also describe a prototype system and its evaluation used in distance learning.
Perovskite-Type Nd1-XBaxCo0.8Fe0.2O3-δ (0 ≤ x ≤ 0.7) Cathodes for Intermediate Temperature Solid Oxide Fuel Cells (2023)

Perovskite-type metal oxides with a nominal chemical formula of Nd 1-x Ba x Co 0.8 Fe 0.2 O 3-δ (NBCF) (0 ≤ x ≤ 0.7) were prepared by solid-state synthesis method at 1300 °C in air. All members were found to be multiphase. 4-probe DC chronopotentiometry measurements were performed on the sintered sample pellets. The x = 0.4 member reaches a maximum conductivity of 1068 S/cm at 300 °C in air. Among the samples studied, the x = 0.55 member exhibits the lowest area specific polarization resistance (ASR) of 0.026 Ω cm 2 for the oxygen reduction reaction (ORR) at 750 °C in air.
The annealing effect on the improvement of hermetically carbon‐coated optical fibers prepared by plasma enhanced chemical vapor deposition method with methane and argon as precursor gases (2008)

Abstract The annealing effect on the improvement of hermetically carbon‐coated optical fibers prepared by plasma enhanced chemical vapor deposition method with methane and argon as precursor gases is studied. The annealing temperatures were selected as 100, 200, 300, 400, and 500°C. The film thickness of carbon films decreases with increasing annealing temperature. The analytic results of Raman, FTIR, and optical band gap show that the structure models of carbon coatings after annealing can be divided into three groups. When the annealing temperature is below 300°C, the unbonded hydrogen atoms in the carbon film recombine with unsaturated carbon bonds, and carbon coatings with a cross‐linking structure are observed. Alternatively, when the annealing temperature exceeds 300°C, the desorption of hydrogen and hydrocarbon from the edges of the sp2 clusters becomes conspicuous. Furthermore, when the annealing temperature rises to 500°C, the thermal annealing promotes the sp2 clusters to combine and grow rapidly. Thus, a structural modification occurs in carbon films at this annealing temperature. The carbon films annealed at the temperature of 300°C have excellent ability to sustain thermal loading, so it is the best for production of carbon‐coated optical fibers.
Ion energy distributions at a capacitively and directly coupled electrode immersed in a plasma generated by a remote source (2009)

Ion energy distributions are investigated in an inductively coupled radio-frequency discharge at low pressures. A Langmuir probe is used to characterize the discharge and a retarding field energy analyzer measures the ion flux and energy distributions impacting a remote rf driven electrode. Comparisons are made between capacitive and direct coupling of the rf bias potential. The effects of ICP power, rf bias voltage (0–75 V amplitude), bias frequency (0.5–20 MHz) and discharge pressure (0.2–1.2 Pa) are presented. Results are shown for Ar, O2 and Ar–He discharges. A double layer was observed during source characterization measurements in an O2 discharge; however, the focus of this paper is on the behavior of ions through capacitively and directly coupled plasma sheaths.
Olfactory Signals and Systems. (2014)

Olfaction, the sense of smell, has received scant attention from a signal processing perspective in comparison to audition and vision. In this paper, we develop a signal processing paradigm for olfactory signals based on new scientific discoveries including the psychophysics concept of olfactory white. We describe a framework for predicting the perception of odorant compounds from their physicochemical features and use the prediction as a foundation for several downstream processing tasks. We detail formulations for odor cancellation and food steganography, and provide real-world empirical examples for the two tasks. We also discuss adaptive filtering and other olfactory signal processing tasks at a high level. Index Terms Adaptive filtering, food steganography, noise cancellation, olfactory signal processing, perception, structured sparsity I.
TOP PHYSICS AT CDF (2009)

Recent results in top physics at CDF presented at the Lake Louise Winter Institute 2008 are discussed, including updates to the top mass, single top search, a search for flavor changing neutral currents in top decay, and W-helicity measurements. Several newer measurements are also presented including the forward-backward asymmetry, the t{bar t} differential cross-section d{sigma}/dM{sub t{bar t}}, and a search for top pair production from massive gluons. Most of the discussed measurements utilize close to 2 fb{sup -1} of data collected at CDF.
A Novel Audio Watermarking Algorithm for Copyright Protection of Digital Audio (2002)

Digital watermark technology is now drawing attention as a new method of protecting digital content from unauthorized copying. This paper presents a novel audio watermarking algorithm to protect against unauthorized copying of digital audio. The proposed watermarking scheme includes a psychoacoustic model of MPEG audio coding to ensure that the watermarking does not affect the quality of the original sound. After embedding the watermark, our scheme extracts copyright information without access to the original signal by using a whitening procedure for linear prediction filtering before correlation. Experimental results show that our watermarking scheme is robust against common signal processing attacks and it introduces no audible distortion after watermark insertion.
Institutions and competition: does internationalisation provide advantages for the family firms in a transition economy? (2022)

Purpose Kosovo has experienced a radical shift from a centrally planned economy to a market economy and built institutions from scratch. During the institutional building process, due to inconsistencies in institutional reforms, firms faced several challenges in competing in the domestic market and engaging in exporting activities. The purpose of the study is threefold. First, to examine how institutional settings influence family firms’ success; second, how and which types of strategic behaviours family firms pursue in response to institutional deficiencies and third, whether and how internationalisation helps the firms overcome the difficulties resulting from deficiencies of the institutions. Design/methodology/approach This study employs a qualitative document analysis technique using secondary and primary data to examine the impact of institutional settings on firm internationalisation and related firm reactions. Findings Findings suggest that fiscal policy, weak protection of property rights and contractual enforcement negatively influenced family firms because of unfair competition, unpredictable business environment and additional costs due to deficient institutions. The authors found that internationalisation provided benefits for the firms in handling the problems posed by the institutions. The firms focused on three main strategies to respond to weak institutions: improving product quality, diversifying and differentiating products and setting competitive prices. Originality/value This study contributes to the literature and explains how and which economic institutions influence firm internationalisation and how engagement in international business activities provides an advantage in responding to deficient institutions in the home country.
Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces (1998)

We are developing computerized feature extraction and classification methods to analyze malignant and benign microcalcifications on digitized mammograms. Morphological features that described the size, contrast, and shape of microcalcifications and their variations within a cluster were designed to characterize microcalcifications segmented from the mammographic background. Texture features were derived from the spatial gray-level dependence (SGLD) matrices constructed at multiple distances and directions from tissue regions containing microcalcifications. A genetic algorithm (GA) based feature selection technique was used to select the best feature subset from the multi-dimensional feature spaces. The GA-based method was compared to the commonly used feature selection method based on the stepwise linear discriminant analysis (LDA) procedure. Linear discriminant classifiers using the selected features as input predictor variables were formulated for the classification task. The discriminant scores output from the classifiers were analyzed by receiver operating characteristic (ROC) methodology and the classification accuracy was quantified by the area, Az, under the ROC curve. We analyzed a data set of 145 mammographic microcalcification clusters in this study. It was found that the feature subsets selected by the GA-based method are comparable to or slightly better than those selected by the stepwise LDA method. The texture features (Az = 0.84) were more effective than morphological features (Az = 0.79) in distinguishing malignant and benign microcalcifications. The highest classification accuracy (Az = 0.89) was obtained in the combined texture and morphological feature space. The improvement was statistically significant in comparison to classification in either the morphological (p = 0.002) or the texture (p = 0.04) feature space alone. The classifier using the best feature subset from the combined feature space and an appropriate decision threshold could correctly identify 35% of the benign clusters without missing a malignant cluster. When the average discriminant score from all views of the same cluster was used for classification, the Az value increased to 0.93 and the classifier could identify 50% of the benign clusters at 100% sensitivity for malignancy. Alternatively, if the minimum discriminant score from all views of the same cluster was used, the Az value would be 0.90 and a specificity of 32% would be obtained at 100% sensitivity. The results of this study indicate the potential of using combined morphological and texture features for computer-aided classification of microcalcifications.
Scattering of Slow Metastable Argon Atoms by Dielectric Nanospheres (2009)

The elastic scattering at low energy of metastable argon atoms with internal angular momentum J = 0 and 2 by dielectric nanospheres is investigated. The differential cross sections are calculated for both isotropic and anisotropic interactions. A polarization effect is clearly evidenced. The possible use of a metastable atom beam as a probe of an ensemble of nanospheres deposited on a passive substrate is examined.
Ruthenium/aerogel nanocomposites via atomic layer deposition (2007)

We present a general approach to prepare metal/aerogel nanocomposites via template directed atomic layer deposition (ALD). In particular, we used a Ru ALD process consisting of alternating exposures to bis(cyclopentadienyl)ruthenium (RuCp2) and air at 350 °C to deposit metallic Ru nanoparticles on the internal surfaces of carbon and silica aerogels. The technique does not affect the morphology of the aerogel template and offers excellent control over metal loading by simply adjusting the number of ALD cycles. We also discuss the limitations of our ALD approach and suggest ways to overcome these.
Electronic ground-state properties of tetranuclear hexa-.mu.-hydroxo-bis(tetraamminechromium(III))bis(diamminechromium(III)) chloride. A spectroscopic and magnetochemical study (1979)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTElectronic ground-state properties of tetranuclear hexa-.mu.-hydroxo-bis(tetraamminechromium(III))bis(diamminechromium(III)) chloride. A spectroscopic and magnetochemical studyHans U. Guedel, Urs Hauser, and Albert FurrerCite this: Inorg. Chem. 1979, 18, 10, 2730–2737Publication Date (Print):October 1, 1979Publication History Published online1 May 2002Published inissue 1 October 1979https://pubs.acs.org/doi/10.1021/ic50200a021https://doi.org/10.1021/ic50200a021research-articleACS PublicationsRequest reuse permissionsArticle Views63Altmetric-Citations44LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts