gebhart/patrepeval huggingface dataset:
Intelligent Fault Diagnosis of Bearings Based on Energy Levels in Frequency Bands Using Wavelet and Support Vector Machines (SVM) (2019)

In this paper, a new method was introduced for feature extraction and fault diagnosis in bearings based on wavelet packet decomposition and analysis of the energy in different frequency bands. This method decomposes a signal into different frequency bands using different types of wavelets and performs multi-resolution analysis to extract different features of the signals by choosing energy levels in different frequency bands. The support vector machines (SVM) technique was used for faults classifications. Daubechies, biorthogonal, coiflet, symlet, Meyer, and reverse Meyer wavelets were used for feature extraction. The most appropriate decomposition level and frequency band were selected by analyzing the variation in the signal’s energy level. The proposed approach was applied to the fault diagnosis of rolling bearings, and testing results showed that the proposed approach can reliably identify different fault categories and their severities. Moreover, the effectiveness of the proposed feature selection and fault diagnosis method was significant based on the similarity between the wavelet packet and the signal, and effectively reduced the influence of the signal noise on the classification results.
Evaluating the Performance of SVM in Dust Aerosol Discrimination and Testing its Ability in an Extended Area (2012)

The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) has been run more than five years, and one of its payloads-the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP)-can offer global atmospheric vertical profiles, resulting in it being widely used in aerosol research. Because the Lidar ratio is an important parameter for aerosol parameter retrieval and the choice of the Lidar ratio needs confirm the type of layers (aerosol or cloud), the data process cannot do without accurate and efficient aerosol and cloud classification. Initially, we found the classification errors existed in PDF version 1 data, so we introduce the SVM classifier to improve the accurate of thick dust and cloud classification. Despite NASA issued the PDF version 2 and improve the correct rate greatly, but we cannot ignore SVM advantages. Therefore in this paper, to continue the former study, we will not only validate the feasibility of this method (especially in dust source areas), but also make a thorough study of classification result effected by different feature vectors and samples. Through the accuracy testing we found, with the increase of the number of samples, SVM have the better result, and the feature space which include depolarization ratio have the more stable result. Though we validated the advantage of SVM, but if we want to use this algorithm in global scale or the whole process of dust deposition, there are still some improvements we need to do. To obtain the thinking of algorithm revision, we using MODIS, HYSPLIT, and CALIPSO products in a dust storm and observe its transmission, then the deficiencies of SVM can be found when compare with PDF version 2. Indeed PDF considered the regional variation, with this transmission of dust storm we need adjustment training samples and hyperplane of classifier. The diversity between SVM and PDF will be applied in the future research as the reference to make the new algorithm more robust and accurate.
Complex eigenenergy spectrum of the Schrodinger equation using Lanczos' tau method (1993)

Lanczos' tau method provides a powerful and accurate tool for the resolution of the one-dimensional Schrodinger equation where the potential energy is given in rational form or can be brought into such a form after an appropriate change of variable. The eigenfunction is constructed on two intervals where the different boundary conditions are taken into account by searching, in each case, for a local solution as a product of a polynomial by a function describing the corresponding asymptotic behaviour. The matching of the eigenfunction and its first derivative at the common boundary of the intervals leads to a quantization condition from which the complex poles of the scattering amplitude (i.e. bound states, resonances, growing and virtual states) are obtained. A complete implementation of the method is provided together with a few checks on the bound states of the Coulomb potential and the resonances and virtual states of the exponential potential.
Electronic properties of carbon nanohorns studied by ESR (2000)

The magnetic properties of carbon nanohorns were investigated by electron spin resonance. Two decoupled electronic systems were found. The first one, which has a spin susceptibility linearly varying with temperature, was tentatively attributed to two-dimensional graphenelike sheets. The second contribution, showing a Curie-like behavior with a non-negligible Pauli part, was ascribed to the interior of the structures of coagulated nanohorns. Surprisingly, this second line shows a strong suppression of susceptibility at 17 K. Due to a concomitant line broadening and g shift below 17 K, this transition was assigned to antiferromagnetic pairing of localized spins. The low spin concentration is implying that a kind of magnetism, mediated by the free spin carriers, has to be invoked to explain the phenomenon.
Load balancing and locality in range-queriable data structures (2004)

We describe a load-balancing mechanism for assigning elements to servers in a distributed data structure that supports range queries. The mechanism ensures both load-balancing with respect to an arbitrary load measure specified by the user and geographical locality, assigning elements with similar keys to the same server. Though our mechanism is specifically designed to improve the performance of skip graphs, it can be adapted to provide deterministic, locality-preserving load-balancing to any distributed data structure that orders machines in a ring or line.
Temporal subtraction system on torso FDG-PET scans based on statistical image analysis (2013)

Diagnostic imaging on FDG-PET scans was often used to evaluate chemotherapy results of cancer patients. Radiologists compare the changes of lesions' activities between previous and current examinations for the evaluation. The purpose of this study was to develop a new computer-aided detection (CAD) system with temporal subtraction technique for FDGPET scans and to show the fundamental usefulness based on an observer performance study. Z-score mapping based on statistical image analysis was newly applied to the temporal subtraction technique. The subtraction images can be obtained based on the anatomical standardization results because all of the patients' scans were deformed into standard body shape. An observer study was performed without and with computer outputs to evaluate the usefulness of the scheme by ROC (receiver operating characteristics) analysis. Readers responded as confidence levels on a continuous scale from absolutely no change to definitely change between two examinations. The recognition performance of the computer outputs for the 43 pairs was 96% sensitivity with 31.1 false-positive marks per scan. The average of area-under-the-ROC-curve (AUC) from 4 readers in the observer performance study was increased from 0.85 without computer outputs to 0.90 with computer outputs (p=0.0389, DBM-MRMC). The average of interpretation time was slightly decreased from 42.11 to 40.04 seconds per case (p=0.625, Wilcoxon test). We concluded that the CAD system for torso FDG-PET scans with temporal subtraction technique might improve the diagnostic accuracy of radiologist in cancer therapy evaluation.
Geographical heterogeneity in housing. Evidence from Spain (2008)

For much of recorded history, it was difficult to document that care in a hospital improved outcomes. In fact, the term "hospitalism" was coined to describe a variety of iatrogenic maladies that were acquired by hospitalized patients and that often were more deadly than the admitting condition itself. In the modern era, the presumed benefits of hospitalization are achieved at the expense of substantial resources, but even these high costs have not eliminated iatrogenic complications. The hospitalist movement, by which a specialized group of physicians cares for inpatients, especially on medical and pediatric services, has reduced costs, generally maintained the satisfaction of all participants, and appears to have improved the quality of care. Despite concerns about discontinuity of care, hospitalists are likely to become the dominant mode of inpatient care in the United States.
Determination of ingredients in packaged pharmaceutical tablets by energy dispersive X‐ray diffraction and maximum likelihood principal component analysis multivariate curve resolution‐alternating least squares with correlation constraint (2021)

Abstract Energy dispersive X‐ray diffraction (EDXRD) and maximum likelihood principal component analysis multivariate curve resolution‐alternating least squares (MLPCA‐MCR‐ALS) with correlation constraint were used to quantify the composition of packaged pharmaceutical formulations. Recorded EDXRD profiles from unpackaged and packaged samples of ternary mixtures were modelled together in order to recover the concentrations as well as the pure profiles of the constituent compounds. MLPCA was used as a data pretreatment step to MCR‐ALS, accounting for the high noise and nonconstant variance observed in the EDXRD profiles and was shown to improve the resolution accuracy of MCR‐ALS for the data set. Local correlation constraints were applied in the MCR‐ALS procedure in order to model unpackaged and packaged samples simultaneously while accounting for the matrix effect of the packaging materials. The composition of the formulations was estimated with root‐mean‐square error of prediction for each component, including paracetamol, being approximately 2.5 %w/w for unpackaged and packaged samples. Paracetamol concentration was resolved simultaneously for the unpackaged and packaged samples to a greater degree of accuracy than achieved by partial least squares regression (PLSR) when modelling the contexts separately. By modelling the effects of the packaging and incorporating accurate reference information of unpackaged samples into the resolution of packaged samples, the potential of EDXRD and MLPCA‐MCR‐ALS for the identification and quantification of packaged solid‐dosage medicine in nondestructive screening and counterfeit medicine detection has been raised.
Frequency Tunable Non-Reciprocal Bandpass Filter and Diplexer Using Time-Modulated Microstrip λg/2 Resonators (2020)

This paper presents novel designs of frequency reconfigurable distributed non-reciprocal bandpass filter and diplexer based on spatio-temporally modulated microstrip λg/2 resonators. The modulation is achieved by loading both ends of the λg/2 transmission line resonators with time-modulated capacitors. To provide an inherent biasing isolation between the RF and the modulation signals, the modulation voltage source is connected at the center of the resonator, where there is a natural voltage null. A single inductor is used to further enhance such biasing isolation. The wideband nature of this isolation scheme enables the tuning of the devices over a wide frequency range. With more than 30-dB RF to modulation isolation, the proposed resonator structure also enables low insertion loss by eliminating RF signal leakage to the modulation ports. Two examples of a 3-pole bandpass filter and a diplexer are demonstrated with good agreement between the measurement and the simulation. The fabricated filter shows a minimal insertion loss of 3.9 dB, a 20-dB isolation bandwidth of 42 MHz at 1.0 GHz, and frequency tuning range of 885-1031 MHz. The measured diplexer has two non-reciprocal bandpass channels at 829 MHz and 997 MHz, respectively. The two channels can be independently reconfigured without affecting each other.
The Type IV Pilus Assembly Complex: Biogenic Interactions among the Bundle-Forming Pilus Proteins of Enteropathogenic Escherichia coli (2002)

Production of type IV bundle-forming pili (BFP) by enteropathogenic Escherichia coli (EPEC) requires the protein products of 12 genes of the 14-gene bfp operon. Antisera against each of these proteins were used to demonstrate that in-frame deletion of individual genes within the operon reduces the abundance of other bfp operon-encoded proteins. This result was demonstrated not to be due to downstream polar effects of the mutations but rather was taken as evidence for protein-protein interactions and their role in the stabilization of the BFP assembly complex. These data, combined with the results of cell compartment localization studies, suggest that pilus formation requires the presence of a topographically discrete assembly complex that is composed of BFP proteins in stoichiometric amounts. The assembly complex appears to consist of an inner membrane component containing three processed, pilin-like proteins, BfpI, -J, and -K, that localize with BfpE, -L, and -A (the major pilin subunit); an outer membrane, secretin-like component, BfpB and -G; and a periplasmic component composed of BfpU. Of these, only BfpL consistently localizes with both the inner and outer membranes and thus, together with BfpU, may articulate between the Bfp proteins in the inner membrane and outer membrane compartments.
<title>Exploration of fabrication techniques for phase-shifting masks</title> (1991)

Techniques for fabrication and testing of phase-shifting masks have been explored. The masks were formed using quartz blanks with both directly etched-in phase-shifters as well as deposited SiO2 films and photoresist for the phase-shifting layer. The etched-in phase- shifters were fabricated by standard lithographic patterning and dry etching of the quartz mask surface. Phase-shifters consisting of photoresist were applied and important resist properties such as index of refraction and absorption were determined. A technique for precise control of the etched phase step using a self-terminated plasma etch into CVD SiO2 has also been explored. Printed patterns using the masks showed the expected benefits of phase-shifting. We also investigated the effect of fabrication tolerances. For example, misalignment of the auxiliary phase-shifters surrounding a contact hole has little impact on printed resist patterns. Phase-shifter parameters deviating from the optimum value were explored both experimentally and using the optical simulator SPLAT. Sloping side walls as well as absorption and interference in the phase-shifter show varying influence depending on the specific feature and the lens reduction. The tolerance in phase-shift magnitude has been examined in a number of cases, and is generally found to be in the neighborhood of 30 degree(s).
Mechanical impedance of layered tissue. (1995)

The human body is a medium which consists of various tissues such as skin, fat, muscle and bone. Each of the tissues has their own biomechanical properties. We have measured biomechanical impedances by applying a random vibration (30-1000 Hz) to the layered model of human tissues to study the occurring mechanism of impedances measured at the skin surface. The data showed that the top tissue layer and the underlying layer both contribute to the impedance depending on the thickness of the top layer. The contribution of the underlying layer was clearer over the frequency range from 30 to 400 Hz. Quantitatively we found the following: The impedance measured at the surface was roughly expressed as the model which is connected in series by the impedances of the top and underlying tissues. The contribution of the underlying tissue decreased according to the increase of the thickness of the top tissue, and disappeared over a certain thickness (18 mm in this paper).
Steerable OCT catheter for real-time assistance during teleoperated endoscopic treatment of colorectal cancer (2019)

When detected early, colorectal cancer can be treated with minimally invasive flexible endoscopy. However, since only specialized experts can delineate margins and perform endoscopic resections of lesions, patients still often undergo colon resections. To better assist in the performance of surgical tasks, a robotized flexible interventional endoscope was previously developed, having two additional side channels for surgical instrument. We propose to enhance the imaging capabilities of this device by combining it with optical coherence tomography (OCT). For this purpose, we have developed a new steerable OCT instrument with an outer diameter of 3.5 mm. The steerable instrument is terminated with a 2 cm long transparent sheath to allow three-dimensional OCT imaging using a side-focusing optical probe with two external scanning actuators. The instrument is connected to an OCT imaging system built around the OCT Axsun engine, with a 1310 nm center wavelength swept source laser and 100 kHz A-line rate. Once inserted in one of the side channels of the robotized endoscope, bending, rotation and translation of the steerable OCT instrument can be controlled by a physician using a joystick. Ex vivo and in vivo tests show that the novel, steerable and teleoperated OCT device enhances dexterity, allowing for inspection of the surgical field without the need for changing the position of the main endoscope.
A simple and efficient error-diffusion algorithm (2001)

In this contribution, we introduce a new error-diffusion scheme that produces higher quality results. The algorithm is faster than the universally used Floyd-Steinberg algorithm, while maintaining its original simplicity. The efficiency of our algorithm is based on a deliberately restricted choice of the distribution coefficients. Its pleasing nearly artifact-free behavior is due to the off-line minimization process applied to the basic algorithm's parameters (distribution coefficients). This minimization brings the Fourier spectra of the selected key intensity levels as close as possible to the corresponding “blue noise” spectra. The continuity of the algorithm's behavior across the full range of intensity levels is achieved thanks to smooth interpolation between the distribution coefficients corresponding to key levels. This algorithm is applicable in a wide range of computer graphics applications, where a color quantization algorithm with good visual properties is needed.
Synthèse fonctionnelle des interrupteurs dans la cellule de commutation (2008)

Cet article sur la commutation expose une démarche systématique orientée vers la synthèse des interrupteurs d'une cellule de commutation utilisée pour effectuer un transfert d'énergie contrôlé entre deux sources d'énergie complémentaires. Sont présentés en introduction les notions de base de la commutation, notions nécessaires pour mettre en œuvre une cellule de commutation « commandée », tout en respectant les relations fondamentales de causalité entre les interrupteurs. Il s’attarde ensuite sur la synthèse fonctionnelle des interrupteurs de la cellule. Au final, l’ensemble des mécanismes de commutation de la cellule est établi et caractérisé qualitativement.
Catalytic Enantioselective Alkylation of Substituted Dioxanone Enol Ethers: Ready Access to C(α)‐Tetrasubstituted Hydroxyketones, Acids, and Esters (2008)

Anpassungsfähige Alkylierung: Eine palladiumkatalysierte asymmetrische Alkylierung führt zu Intermediaten mit vollständig substituierten oxygenierten Stereozentren, die im Zuge enantioselektiver Naturstoffsynthesen leicht in α-Hydroxyketone, -ester und -säuren umgewandelt werden können. Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Deep-Learning-Based Fault Classification Using Hilbert–Huang Transform and Convolutional Neural Network in Power Distribution Systems (2019)

Fault classification is important for the fault cause analysis and faster power supply restoration. A deep-learning-based fault classification method in small current grounding power distribution systems is presented in this paper. The current and voltage signals are sampled at a substation when a fault occurred. The time-frequency energy matrix is constructed via applying Hilbert-Huang transform (HHT) band-pass filter to those sampled fault signals. Regarding the time-frequency energy matrix as the pixel matrix of digital image, a method for image similarity recognition based on convolution neural network (CNN) is used for fault classification. The presented method can extract the features of fault signals and accurately classify ten types of short-circuit faults, simultaneously. Two simulation models are established in the PSCAD/EMTDC and physical system environment, respectively. The performance of the presented method is studied in the MATLAB environment. Various kinds of fault conditions and factors including asynchronous sampling, different network structures, distribution generators access, and so on are considered to verify the adaptability of the presented method. The results of investigation show that the presented method has the characteristics of high accuracy and adaptability in fault classification of power distribution systems.
Separation of 9-Methoxycamptothecin and Camptothecin from Nothapodytes foetida by Semipreparative HPLC (2005)

The present work describes the isolation of camptothecin and 9-methoxycamptothecin from the aerial parts of Nothapodytes foetida by semipreparative high-performance liquid chromatography because the separation of compounds by conventional procedures is tedious and cumbersome. The purity of the isolates is determined by physicochemical data and liquid chromatography-mass spectrometry.
Progress toward absolute frequency measurements of the /sup 127/I/sub 2/-stabilized Nd:YAG laser at 563.2 THz/532 nm (2001)

Progress on the development of a frequency chain devoted to the absolute frequency measurement of /sup 127/I/sub 2/-stabilized lasers around 563.2 THz/532 nm is reported. The aim of this work is the improvement of the accuracy-by at least one order of magnitude-of the absolute frequency of this standard. The scheme is based on the frequency combination of two well-known optical frequency standards, namely a CO/sub 2/ laser stabilized on OsO/sub 4/, and a 778-nm diode laser stabilized on Rb measured, at BNM-LPTF, against a cesium primary standard with 2/spl times/10/sup -13/ and 2/spl times/10/sup -12/ relative uncertainty respectively. This last value gives the ultimate accuracy of the reported chain.