gebhart/patrepeval huggingface dataset:
Self-supervised learning of a facial attribute embedding from video (2018)

We propose a self-supervised framework for learning facial attributes by simply watching videos of a human face speaking, laughing, and moving over time. To perform this task, we introduce a network, Facial Attributes-Net (FAb-Net), that is trained to embed multiple frames from the same video face-track into a common low-dimensional space. With this approach, we make three contributions: first, we show that the network can leverage information from multiple source frames by predicting confidence/attention masks for each frame; second, we demonstrate that using a curriculum learning regime improves the learned embedding; finally, we demonstrate that the network learns a meaningful face embedding that encodes information about head pose, facial landmarks and facial expression, i.e. facial attributes, without having been supervised with any labelled data. We are comparable or superior to state-of-the-art self-supervised methods on these tasks and approach the performance of supervised methods.
Effective Products Categorization with Importance Scores and Morphological Analysis of the Titles (2018)

During the past few years, the e-commerce platforms and marketplaces have enriched their services with new features to improve their user experience and increase their profitability. Such features include relevant products suggestion, personalized recommendations, query understanding algorithms and numerous others. To effectively implement all these features, a robust products categorization method is required. Due to its importance, the problem of the automatic products classification into a given taxonomy has attracted the attention of multiple researchers. In the current literature, we encounter a broad variety of solutions, ranging from supervised and deep learning algorithms, as well as convolutional and recurrent neural networks. In this paper we introduce a supervised learning method which performs morphological analysis of the product titles by extracting and processing a combination of words and n-grams. In the sequel, each of these tokens receives an importance score according to several criteria which reflect the strength of the correlation of the token with a category. Based on these importance scores, we also propose a dimensionality reduction technique to reduce the size of the feature space without sacrificing much of the performance of the algorithm. The experimental evaluation of our method was conducted by using a real-world dataset, comprised of approximately 320 thousand product titles, which we acquired by crawling a product comparison Web platform. The results of this evaluation indicate that our approach is highly accurate, since it achieves a remarkable classification accuracy of over 95%.
A Potent Transactivation Domain Mimic with Activity in Living Cells (2005)

Transcriptional coactivator-binding peptoids were isolated from a large combinatorial library. One of these molecules is shown to function as a potent activation domain surrogate in mammalian cells. Up to a 900-fold increase in expression of a Gal4-responsive reporter gene is observed when a steroid conjugate of the peptoid is incubated with HeLa cells expressing a Gal4 DNA-binding domain (DBD)-glucocorticoid receptor ligand-binding domain (GRLBD) fusion protein.
Reconfigurable Digital Metamaterial for Dynamic Switching of Terahertz Anisotropy (2015)

A microelectromechanically reconfigurable digital metamaterial for dynamic switching of terahertz anisotropy is experimentally demonstrated. Out-of-plane reconfigurable microcantilevers placed in orthogonal direction with isolated control allows active making and breaking of unit cell symmetry. The electrical control, miniaturized size, and ease of process integration make the reported microelectromechanical system metamaterial ideal for the realization of THz polarimetric devices. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to 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.
Gastrointestinal stromal tumors (GIST): A model for molecule‐based diagnosis and treatment of solid tumors (2003)

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the human gastrointestinal (GI) tract. The c-kit receptor tyrosine kinase (KIT) is expressed by practically all GISTs, and gain-of-function mutations of KIT are present in most GISTs. Interstitial cells of Cajal (ICC) are the pacemaker of the peristaltic movement of the GI tract. Since signals through KIT are essential for development of ICC and since multiple GISTs develop from the hyperplastic lesion of ICCs in familial GIST patients with germline mutations of KIT, GISTs are considered to originate from ICC. Imatinib mesylate, which was developed for treatment of chronic myeloid leukemia (CML), was found to be useful for treatment of GISTs. Imatinib mesylate inhibits BCR-ABL fused tyrosine kinase that causes CML. Imatinib mesylate also inhibits the mutated KIT observed in most GISTs, and this explains the effectiveness of Imatinib mesylate on GISTs. GISTs appear to serve as a model for molecule-based diagnosis and treatment of solid tumors.
Ultra-High-Efficiency Writing in Voltage-Control Spintronics Memory (VoCSM): The Most Promising Embedded Memory for Deep Learning (2018)

Our new proposal of voltage-control spintronics memory (VoCSM) in which spin-orbit torque in conjunction with the voltage-control-magnetic-anisotropy effect works as the writing principle showed small switching current of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$37~\mu \text{A}$ </tex-math></inline-formula> for about 350 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K_{B}T$ </tex-math></inline-formula> switching energy. This indicates VoCSM’s writing efficiency is so high that VoCSM would be applicable for deep learning memories requiring ultra-low power consumption.
Alternative homologous and nonhomologous products arising from intramolecular recombination (1990)

RmI, a chimeric DNA molecule containing polyomavirus (Py) and mouse sequences, generates unit-length Py DNA via intramolecular recombination between two directly repeated viral sequences of 182 base pairs (S repeats). To analyze the contribution of the S repeats in this process, we produced mutants of RmI carrying deletions in either one or both S repeats and tested them for their ability to recombine in mouse 3T6 cells. Mutant DNAs were found to yield unit-length Py DNA as long as they carried a minimal internal homology of 40 to 50 base pairs. Unlike RmI itself, however, the mutants also gave rise to nonhomologous recombination products. These results suggest that when the generation of homologous products is hampered by a limiting homology, nonhomologous products may arise instead of homologous ones. Therefore, the initial step(s) in the mechanisms yielding the two kinds of products could be identical.
Remotely-controlled orthodontics: fundamentals and description of the Dental Monitoring system (2016)

The concept of self-measurement is already extensively used in healthcare, notably to monitor diabetes or hypertension. Drawing from this model, Dental Monitoring™ built a new three-dimensional (3D) technology to measure tooth movement from simple photographs taken from a patient’s smartphone, and an initial 3D model provided by the orthodontists. This system provides precise measurements from settings outside the clinic, and in between appointments. A team of orthodontists reviews all measurements and photographs before they are updated on a web-based platform for the practitioners. A dashboard of all monitored patients offers a comprehensive solution based on a triptych: communication supervised by orthodontists with patients and the correspondents; treatment progress evaluation through photographs taken by patients; notification with alerts send to the practitioner in any case of any abnormal clinical events, so that they can take adapted decision.
Optical Current Sensors Consisting of Polymeric Waveguide Components (2010)

Optical current sensors are demonstrated based on polarization rotated reflection interferometry by incorporating polymeric optical waveguide components. Polarization maintaining 3-dB couplers, TE-pass waveguide polarizers, and thermo-optic phase modulators are designed and fabricated in this work in order to provide essential building blocks for constructing the current sensors. The phase difference between the two circularly polarized waves imposed by the Faraday effect of the optical fiber is detected using the interferometric optical sensor consisting of the polymeric components. To remove the bending induced birefringence, the optical fiber wound around a ceramic frame is annealed at 850 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> C for 24 hours. The reflection interferometer comprising the polymer waveguide components operates with good linearity proportional to the monitoring current.
Class cover catch digraphs (2010)

Abstract The class cover problem is one of finding a small number of sets covering (containing) points from one class without covering any points from a second class. The class cover catch digraph provides a solution to the class cover problem, which can be extended to a nonparametric classifier, similar in flavor to a reduced nearest neighbor classifier. This article describes the class cover catch digraph and its application to classification. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under: Data: Types and Structure > Graph and Network Data
Airborne bacterial reduction by spraying slightly acidic electrolyzed water in a laying-hen house (2013)

Spraying slightly acidic electrolyzed water (SAEW) has been considered as a potential approach to reduce airborne bacteria in laying-hen houses. In this study, the effects of spraying SAEW on airborne bacterial reduction were investigated in a laying-hen house as compared with using diluted didecyl dimethyl ammonium bromide (DDAB). Averaged air temperature reduced by approximate 1 degrees C and average relative humidity increased by 3% at a stable ventilation rate (about 2.5 m3 hr(-1) per bird) in the laying-hen house 30 min after spraying (120 mL m(-2)). Compared with the control without spraying, the airborne bacterial concentration was reduced by about 0.70 and 0.37 log10 colony-forming units (CFU) m(-3) in the 4 hr after spraying 120 mL m(-2) SAEW (available chlorine concentration [ACC] of 156 mg L(-1)) and diluted DDAB (active compound concentration of 167 mg L(-1)), respectively. Compared with spraying diluted DDAB, spraying SAEW was determined to be more effective for reducing airborne bacterial in laying-hen houses. The effects of spraying SAEW and diluted DDAB on airborne bacterial reduction in the laying-hen house increased with the increasing available chlorine concentrations for SAEW (156, 206, 262 mg L(-1)) and increasing active compound concentrations for diluted DDAB (167, 333, 500 mg L(-1)), respectively. Spraying SAEW and diluted DDAB with two levels of spraying volumes (120 and 90 mL m(-2)) both showed significant differences on airborne bacterial reduction in the laying-hen house (P < 0.05).
Mapping the SERS Efficiency and Hot-Spots Localization on Gold Film over Nanospheres Substrates (2010)

Noble metal films deposited over two-dimensional arrays of polystyrene nanospheres constitute a confirmed class of efficient and cost-effective substrates for surface enhanced Raman scattering (SERS). In this paper, we perform scanning confocal SERS microscopy to investigate the spatial (lateral) variations of the SERS enhancements on gold films over nanospheres (AuFoN) substrates. By constructing SERS imaging maps with a resolution down to the diffraction limit, the local SERS efficiency is found to vary on two different scales. First, the local SERS efficiency is periodically modulated (intensity ratios of 2−3) by the periodic AuFoN surface topography (as demonstrated by correlation with atomic force microscopy imaging of the same sample area); second, randomly distributed SERS hot-spots are observed, at which the SERS intensity is 1 to 2 orders of magnitude larger than at adjacent regions. Furthermore, these hot-spots exhibit fluctuating behavior, characteristic of single-molecule SERS sensitivity. These results are particularly useful for furthering current understanding of SERS on AuFoN substrates. More generally, the SERS maps provide a direct visual demonstration that in SERS only a fraction of the metallic surface yields the major part of the SERS scattering. The evidence of clear correlations between SERS enhancement and topography can be relevant for the characterization of ordered noble-metal plasmonic structures.
Mutation Typing Using Electrophoresis and Gel-Immobilized Acrydite <sup>TM</sup> Probes (1998)

A new electrophoresis technology for hybridization-based sequence detection and mutation typing is described. Intrinsic to this approach is copolymerization of specially modified oligonucleotide probes directly into polyacrylamide gels. Electrophoresis of single-stranded samples through gels containing specific immobilized probes results in hybridization-mediated capture of complementary targets. By increasing gel temperature or including denaturants in the buffer, the method can be used to type single-nucleotide polymorphisms. The method can easily be adapted to type mutations in PCR-amplified samples. Acrydite gel technology will also be useful for many other applications, including hybridization-based diagnostics, analysis of gene expression and purification of nucleic acids from biological samples.
DIABCARD - A Smart Card for Patients with Chronic Diseases (1995)

Within the European Union-sponsored project DIABCARD, the core of a chip-card-based medical information system for patients with chronic diseases, exemplified on diabetes mellitus, has been developed. The long-term goal of the project is to improve the medical record and the quality of care for patients with chronic diseases. The basic idea is to have a portable electronic medical record on a smart card. This will improve the communication between the different healthcare personnel and between different institutions and, at the same time, promote shared care. The DIABCARD chip-card-based medical information system will offer controlled access to the necessary and up-to-date patient record to everyone involved in the patient's treatment, and it will help reduce the constantly rising healthcare expenditure. The system first was implemented in a small version. The system architecture contains hardware, software, and orgware. It considers especially the memory of the chip card, the processor, the data structure, security functions, the operating system on the chip card, the interface between the chip card and the application, and various application areas. The DIABCARD dataset was defined via an information model, which describes the different communication processes, via acknowledged diabetes datasets and medical scenarios. It includes, among others, emergency data, data for quality assurance, and data for blood glucose self-monitoring. The first prototype has been developed, and a pilot was run for 3 months.
Nursing Interventions to Reduce the Risk of Catheter-Associated Urinary Tract Infection (2009)

Evidence from parts 1 and 2 of this Evidence-Based Report Card provides a sound basis for designing an evidence-based program to prevent CAUTI. Essential elements of a CAUTI prevention program include staff education, ongoing monitoring of CAUTI incidence, monitoring catheter insertion and ensuring prompt removal, and careful attention to techniques for catheterization and catheter care.
New Signal Processing Methods for the Development of Seizure Warning Devices in Epilepsy (2016)

The seizure prediction problem has been addressed by many researchers from very different fields for more than three decades. The vision of an implantable seizure prediction device may become reality soon: the first clinical study of such a device has been realized very recently and other realizations are not far behind. Cellular Nonlinear Networks (CNN) were firstly introduced by Chua and Yang in 1988 and later extended to an inherently parallel processing framework called the CNN Universal Machine (CNN-UM). This framework combines high computational power with low power consumption and miniaturized design-making it a very promising basis for the realization of a seizure warning device. In this contribution, we compare the seizure prediction performance of an eigenvalue based PCA-preprocessing followed by a nonlinear CNN signal prediction to the performance of a linear signal prediction approach followed by a level-crossing behavior analysis as well as to the performance of a combination of the two methods.
A simple analytical model of a probe-based traffic information system (2004)

As traffic congestion continues to worsen, the need for accurate, timely traffic information becomes stronger. With recent advances in technology, a growing number of vehicles are now equipped with wireless communication systems and global positioning satellite (GPS) sensors. Using such vehicles as mobile traffic probes has the promise of accurate and timely information without large infrastructure construction and maintenance expenses. To address some of the basic design and feasibility questions for the concept of using probe vehicles to provide real-time traffic information, an analytical model was developed that examines the relationships between key system parameters. The results of this modeling show that a real-time traffic information system based on probe vehicles is very feasible, and should work for freeways at penetrations over 3%, while surface roads would require more than 5%.
Shear Rupturing of Complex Fluids:  Application to the Preparation of Quasi-Monodisperse Water-in-Oil-in-Water Double Emulsions (2001)

Quasi-monodisperse emulsions can be obtained by shearing a crude polydisperse one within a very narrow gap (Langmuir 1997, 4600−4613). In this paper, we apply the emulsifying technique developed for simple emulsions to fabricate double emulsions of controlled size. We first prepare quasi-monodisperse and concentrated water-in-oil emulsions using a Couette mixer. This inverted emulsion is emulsified in an aqueous phase using the same apparatus. We obtain water-in-oil-in-water double emulsions made of oily globules containing smaller water droplets, both colloids having well-defined and controlled diameter.
Contributions by MutL Homologues <i>Mlh3</i> and <i>Pms2</i> to DNA Mismatch Repair and Tumor Suppression in the Mouse (2005)

Germ line DNA mismatch repair mutations in MLH1 and MSH2 underlie the vast majority of hereditary non-polyposis colon cancer. Four mammalian homologues of Escherichia coli MutL heterodimerize to form three distinct complexes: MLH1/PMS2, MLH1/MLH3, and MLH1/PMS1. Although MLH1/PMS2 is generally thought to have the major MutL activity, the precise contributions of each MutL heterodimer to mismatch repair functions are poorly understood. Here, we show that Mlh3 contributes to mechanisms of tumor suppression in the mouse. Mlh3 deficiency alone causes microsatellite instability, impaired DNA-damage response, and increased gastrointestinal tumor susceptibility. Furthermore, Mlh3;Pms2 double-deficient mice have tumor susceptibility, shorter life span, microsatellite instability, and DNA-damage response phenotypes that are indistinguishable from Mlh1-deficient mice. Our data support previous results from budding yeast that show partial functional redundancy between MLH3 and PMS2 orthologues for mutation avoidance and show a role for Mlh3 in gastrointestinal and extragastrointestinal tumor suppression. The data also suggest a mechanistic basis for the more severe mismatch repair-related phenotypes and cancer susceptibility in Mlh1- versus Mlh3- or Pms2-deficient mice. Contributions by both MLH1/MLH3 and MLH1/PMS2 complexes to mechanisms of mismatch repair-mediated tumor suppression, therefore, provide an explanation why, among MutL homologues, only germ line mutations in MLH1 are common in hereditary non-polyposis colon cancer.
Voltage-clock scaling for low energy consumption in real-time embedded systems (2003)

Low power and energy consumption will always be an essential requirement in many real-time embedded applications. Voltage scaling is a relatively novel approach to reducing energy consumption. The idea is that a processor can be run either at high or at low voltage: at high voltage, the clock rate is high but so is the power consumption; at low voltage the clock rate is lower, but the power consumption drops by a greater factor. This immediately suggests a powerful approach to lowering energy consumption in real-time systems. In this paper we introduce static and dynamic algorithms to control processor voltage to reduce energy consumption. We demonstrate by simulation that our algorithms can significantly reduce total energy consumption.
Extraction of Aromatics from Middle Distillate Using <i>N</i>-Methyl-2-pyrrolidone:  Experiment, Modeling, and Optimization (2007)

The phase equilibria of aromatics separation from the multicomponent system [paraffins: (tetradecane + hexadecane + heptadecane) and aromatics (ethylbenzene + 1,3,5-trimethylbenzene + butylbenzene)] using N-methyl-2-pyrrolidone (NMP), as an extracting agent, have been studied. The aromatics in the multicomponent mixture were extracted at different temperatures (293−323 K) and different solvent to feed ratios (0.99−1.89). Such a system is found in the removal of aromatics from middle distillates in petroleum processing. The effects of temperature, solute concentration in the feed, and solvent to feed ratio on solubility, distribution coefficient, selectivity, and yield were investigated. The abilities of nonrandom two liquid (NRTL) and universal quasi-chemical (UNIQUAC) models to predict liquid−liquid equilibria were evaluated. The experimental data of the studied system were regressed to estimate the interaction parameters between each of the seven pairs of components using the two models as a function of temperature. The calculated results were comparable with the experimental data. Minimum major cost parameters and maximum yield of operation were analyzed through an optimization model to investigate the effects of temperature and solvent to feed ratio. Optimum operating conditions for enhanced aromatic extraction were unveiled.