gebhart/patrepeval huggingface dataset:
Technical Universities entering the Diversity-Age in the Society of Highly-Developed Technology (1992)

大学設置基準の大綱化と技術の高度化, その進歩の迅速化に対応するために、工学系大学は様々の制約条件の下で最適設計を行い, その成果を世に問う必要がある。この設計の一例として, 金沢工業大学の改革の現状を紹介する。
Optimization of NMR Logging Acquisition and Processing (1999)

Abstract Successful petrophysical interpretation of NMR logs depends greatly on the selection of acquisition parameters and data processing methods. Routine tool calibration, based on a single fluid, guarantees the accuracy of porosity; however, the tool response to individual 72-components in a multiple fluid-component system is not directly assessed. The MRIL® response to multiple fluids was tested in a multi-fluid calibrator. A series of tests were performed in various logging modes, including standard T2, bound water logging, and dual wait time logging sequences. This investigation provides the basis for a more effective utilization of the MRIL tool with more appropriate acquisition parameters and data processing methods for the petrophysical interpretation of reservoir formation and fluid systems that exhibit bimodal T2 distributions. For a given bimodal T2 distribution, the ability to detect bimodality depends on (1) the relative magnitudes of the two peaks, (2) the echo-train record length L, (3) the number of echoes N, (4) the data processing method including the proper bin range selection, and (5) noise. Based on the investigation, we discussed our recommendations for selecting acquisition sequences, parameters, and data processing methods.
Anti‐convulsive and anti‐epileptic properties of brivaracetam (ucb 34714), a high‐affinity ligand for the synaptic vesicle protein, SV2A (2008)

Brivaracetam has higher potency and efficacy than levetiracetam as an anti-seizure and anti-epileptogenic agent in various experimental models of epilepsy, and a wide therapeutic index.
The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera (2014)

Cameras embedded in consumer devices have previously been used as physiological information sensors. The waveform of the photoplethysmographic image (PPGi) signals may be significantly affected by the light spectra and intensity. The purpose of this paper is to evaluate the performance of PPGi waveform acquisition in the red, green, and blue channels using a commercial camera in different light conditions. The system, developed for this paper, comprises of a commercial camera and light sources with varied spectra and intensities. Signals were acquired from the fingertips of 12 healthy subjects. Extensive experiments, using different wavelength lights and white light with variation light intensities, respectively, reported in this paper, showed that almost all light spectra can acquire acceptable pulse rates, but only 470-, 490-, 505-, 590-, 600-, 610-, 625-, and 660-nm wavelength lights showed better performance in PPGi waveform compared with gold standard. With lower light intensity, the light spectra >600 nm still showed better performance. The change in pulse amplitude (ac) and dc amplitude was also investigated with the different light intensity and light spectra. With increasing light intensity, the dc amplitude increased, whereas ac component showed an initial increase followed by a decrease. Most of the subjects achieved their maximum averaging ac output when averaging dc output was in the range from 180 to 220 pixel values (8 b, 255 maximum pixel value). The results suggested that an adaptive solution could be developed to optimize the design of PPGi-based physiological signal acquisition devices in different light conditions.
Monotonicity versus performance in co-optimization (2009)

Applying evolutionary algorithms to traditional single-objective optimization problems is now a well-understood and successful process. Less well understood but developing nicely is the use of evolutionary algorithms for multi-objective optimization problems. Least well understood is the use of coevolutionary algorithms to solve co-optimization problems. The dynamics of these coevolutionary processes lead to pathological situations not seen (or easily avoided) in standard optimization algorithms. Such pathologies include endless cycling, loss of fitness gradient, and so on.
Isoforms of glucose 6-phosphate dehydrogenase in Deinococcus radiophilus. (2007)

Glucose 6-phosphate dehydrogenase (G6PDH, EC 1.1.1.49) in Deinococcus radiophilus, an extraordinarily UV-resistant bacterium, was investigated to gain insight into its resistance as it was shown to be involved in a scavenging system of superoxide (O2-1) and peroxide (O2-2) generated by UV and oxidative stresses. D. radiophilus possesses two G6PDH isoforms: G6PDH-1 and G6PDH-2, both showing dual coenzyme specificity for NAD and NADP. Both enzymes were detected throughout the growth phase; however, the substantial increase in G6PDH-1 observed at stationary phase or as the results of external oxidative stress indicates that this enzyme is inducible under stressful environmental conditions. The G6PDH-1 and G6PDH-2 were purified 122- and 44-fold (using NADP as cofactor), respectively. The purified G6PDH-1 and G6PDH-2 had the specific activity of 2,890 and 1,033 U/mg protein (using NADP as cofactor) and 3,078 and 1,076 U/mg protein (using NAD as cofactor), respectively. The isoforms also evidenced distinct structures; G6PDH-1 was a tetramer of 35 kDa subunits, whereas G6PDH-2 was a dimer of 60 kDa subunits. The pIs of G6PDH-1 and G6PDH-2 were 6.4 and 5.7, respectively. Both G6PDH-1 and G6PDH-2 were inhibited by both ATP and oleic acid, but G6PDH-1 was found to be more susceptible to oleic acid than G6PDH-2. The profound inhibition of both enzymes by beta-naphthoquinone-4-sulfonic acid suggests the involvement of lysine at their active sites. Cu2+ was a potent inhibitor to G6PDH-2, but a lesser degree to G6PDH-1. Both G6PDH-1 and G6PDH-2 showed an optimum activity at pH 8.0 and 30 degrees .
Efficient retrieval of landscape Hessian: Forced optimal covariance adaptive learning (2014)

Knowledge of the Hessian matrix at the landscape optimum of a controlled physical observable offers valuable information about the system robustness to control noise. The Hessian can also assist in physical landscape characterization, which is of particular interest in quantum system control experiments. The recently developed landscape theoretical analysis motivated the compilation of an automated method to learn the Hessian matrix about the global optimum without derivative measurements from noisy data. The current study introduces the forced optimal covariance adaptive learning (FOCAL) technique for this purpose. FOCAL relies on the covariance matrix adaptation evolution strategy (CMA-ES) that exploits covariance information amongst the control variables by means of principal component analysis. The FOCAL technique is designed to operate with experimental optimization, generally involving continuous high-dimensional search landscapes (≳30) with large Hessian condition numbers (≳10^{4}). This paper introduces the theoretical foundations of the inverse relationship between the covariance learned by the evolution strategy and the actual Hessian matrix of the landscape. FOCAL is presented and demonstrated to retrieve the Hessian matrix with high fidelity on both model landscapes and quantum control experiments, which are observed to possess nonseparable, nonquadratic search landscapes. The recovered Hessian forms were corroborated by physical knowledge of the systems. The implications of FOCAL extend beyond the investigated studies to potentially cover other physically motivated multivariate landscapes.
TGF‐β1‐enhanced TCP‐coated sensate scaffolds can detect bone bonding (2005)

Porous polybutylene terephthalate (PBT) scaffold systems were tested as orthopedic implants to determine whether these scaffolds could be used to detect strain transfer following bone growth into the scaffold. Three types of scaffold systems were tested: porous PBT scaffolds, porous PBT scaffolds with a thin beta-tricalcium phosphate coating (LC-PBT), and porous PBT scaffolds with the TCP coating vacuum packed into the scaffold pores (VI-PBT). In addition, the effect of applying TGF-beta1 to scaffolds as an enhancement was examined. The scaffolds were placed onto the femora of rats and left in vivo for 4 months. The amount of bone ingrowth and the strain transfer through various scaffolds was evaluated by using scanning electron microscopy, histology, histomorphometry, and cantilever bend testing. The VI-PBT scaffold showed the highest and most consistent degree of mechanical interaction between bone and scaffold, providing strain transfers of 68.5% (+/-20.6) and 79.2% (+/-8.7) of control scaffolds in tension and compression, respectively. The strain transfer through the VI-PBT scaffold decreased to 29.1% (+/-24.3) and 30.4% (+/-25.8) in tension and compression when used with TGF-beta1. TGF-beta1 enhancement increased the strain transfer through LC-PBT scaffolds in compression from 9.4% (+/-8.7) to 49.7% (+/-31.0). The significant changes in mechanical strain transfer through LC-PBT and VI-PBT scaffolds correlated with changes in bone ingrowth fraction, which was increased by 39.6% in LC-PBT scaffolds and was decreased 21.3% in VI-PBT scaffolds after TGF-beta1 enhancement. Overall, the results indicate that strain transfer through TCP-coated PBT scaffolds correlate with bone ingrowth after implantation, making these instrumented scaffolds useful for monitoring bone growth by monitoring strain transfer.
Security Monitoring of HTTP Traffic Using Extended Flows (2015)

In this paper, we present an analysis of HTTP traffic in a large-scale environment which uses network flow monitoring extended by parsing HTTP requests. In contrast to previously published analyses, we were the first to classify patterns of HTTP traffic which are relevant to network security. We described three classes of HTTP traffic which contain brute-force password attacks, connections to proxies, HTTP scanners, and web crawlers. Using the classification, we were able to detect up to 16 previously undetectable brute-force password attacks and 19 HTTP scans per day in our campus network. The activity of proxy servers and web crawlers was also observed. Symptoms of these attacks may be detected by other methods based on traditional flow monitoring, but detection using the analysis of HTTP requests is more straightforward. We, thus, confirm the added value of extended flow monitoring in comparison to the traditional method.
Lithology and fluid differentiation using a rock physics template (2009)

The elastic properties such as velocity, density, impedance, and VP/VS ratio take an important role in reservoir characterization because they are related to the reservoir properties. To analyze these elastic properties, rock physics knowledge is a bridge that links the elastic properties to the reservoir properties such as water saturation, porosity, and shale volume. In this study, we build up a rock physics template and plot it along with the inverted elastic properties to aid the efficient interpretation. Using this method, we can estimate the lithology and fluid content of undrilled areas if the undrilled area has the same geological deposition environment as a drilled area. The final results show that the lithology and fluid content can be efficiently interpreted for our target reservoirs using the inverted elastic properties plotted with a rock physics template, rather than only using the inverted elastic properties.
Alternative Bio-Based Solvents for Extraction of Fat and Oils: Solubility Prediction, Global Yield, Extraction Kinetics, Chemical Composition and Cost of Manufacturing (2015)

The present study was designed to evaluate the performance of alternative bio-based solvents, more especially 2-methyltetrahydrofuran, obtained from crop's byproducts for the substitution of petroleum solvents such as hexane in the extraction of fat and oils for food (edible oil) and non-food (bio fuel) applications. First a solvent selection as well as an evaluation of the performance was made with Hansen Solubility Parameters and the COnductor-like Screening MOdel for Realistic Solvation (COSMO-RS) simulations. Experiments were performed on rapeseed oil extraction at laboratory and pilot plant scale for the determination of lipid yields, extraction kinetics, diffusion modeling, and complete lipid composition in term of fatty acids and micronutrients (sterols, tocopherols and tocotrienols). Finally, economic and energetic evaluations of the process were conducted to estimate the cost of manufacturing using 2-methyltetrahydrofuran (MeTHF) as alternative solvent compared to hexane as petroleum solvent.
Correlations between SARA Fractions, Density, and RI to Investigate the Stability of Asphaltene (2012)

Asphaltene precipitation is one of the most common problems in both oil recovery and refinery processes. Its deposition causes many problems mainly because of the fuzzy nature of asphaltene and the large number of parameters affecting precipitation. Unfortunately there is not a predictive technique for screening it. Refractive index (RI) was used as a stability test for asphaltene which makes a quantitative judgment for asphaltene stability. In our study, we first represent a novel correlation between SARA fractions and density and then demonstrate the relation between density and RI; second we developed a relation for SARA and RI, by utilizing RI to investigate the stability of asphaltene.
Simple and Fast Compression of 3D Meshes (2007)

For transmission and storage purposes, compression of 3D models is an indispensable component in graphics applications. Many existing compression schemes sacrificed computational complexity for compression efficiency. On the other hand, low computational complexity is the most sought functionality from the industry as of today. In this paper, we proposed a simple and fast compression method with low complexity. With a slight increase of compressed data size, the proposed method showed about four times faster in encoding time and about twice faster in decoding from the experimental results.
High-Reynolds-number Batchelor-model asymptotics of a flow past an aerofoil with a vortex trapped in a cavity (1998)

Steady incompressible flow past an aerofoil with a cavity in its upper surface is considered. The aerofoil and cavity shape is constructed to ensure that the high-Reynolds-number asymptotics of the flow is described by the Batchelor model.
Toward understanding cancer stem cell heterogeneity in the tumor microenvironment (2018)

The epithelial-mesenchymal transition (EMT) and cancer stem cell (CSC) formation are two paramount processes driving tumor progression, therapy resistance, and cancer metastasis. Recent experiments show that cells with varying EMT and CSC phenotypes are spatially segregated in the primary tumor. The underlying mechanisms generating such spatiotemporal dynamics in the tumor microenvironment, however, remain largely unexplored. Here, we show through a mechanism-based dynamical model that the diffusion of EMT-inducing signals such as TGF-β, together with noncell autonomous control of EMT and CSC decision making via the Notch signaling pathway, can explain experimentally observed disparate localization of subsets of CSCs with varying EMT phenotypes in the tumor. Our simulations show that the more mesenchymal CSCs lie at the invasive edge, while the hybrid epithelial/mesenchymal (E/M) CSCs reside in the tumor interior. Further, motivated by the role of Notch-Jagged signaling in mediating EMT and stemness, we investigated the microenvironmental factors that promote Notch-Jagged signaling. We show that many inflammatory cytokines such as IL-6 that can promote Notch-Jagged signaling can (<i>i</i>) stabilize a hybrid E/M phenotype, (<i>ii</i>) increase the likelihood of spatial proximity of hybrid E/M cells, and (<i>iii</i>) expand the fraction of CSCs. To validate the predicted connection between Notch-Jagged signaling and stemness, we knocked down JAG1 in hybrid E/M SUM149 human breast cancer cells in vitro. JAG1 knockdown significantly restricted tumor organoid formation, confirming the key role that Notch-Jagged signaling can play in tumor progression. Together, our integrated computational-experimental framework reveals the underlying principles of spatiotemporal dynamics of EMT and CSCs.
Latency-Based Anycast Geolocation: Algorithms, Software, and Data Sets (2016)

Use of IP-layer anycast has increased in the last few years beyond the DNS realm. Existing measurement techniques to identify and enumerate anycast replicas exploit specifics of the DNS protocol, which limits their applicability to this particular service. In this paper, we propose and thoroughly validate a protocol-agnostic technique for anycast replicas discovery and geolocation. Furthermore, we also provide the community with open-source software and data sets allowing others to replicate our experimental results, potentially facilitating the development of new techniques such as ours. In particular, our proposed method achieves thorough enumeration and city-level geolocalization of anycast instances from a set of known vantage points. The algorithm features an iterative workflow, pipelining enumeration (an optimization problem using latency as an input), and geolocalization (a classification problem using side channel information, such as city population) of anycast replicas. Results of a thorough validation campaign show our algorithm to be robust to measurement noise, and very lightweight as it requires only a handful of latency measurements.
Release of amyloid beta-protein precursor derivatives by electrical depolarization of rat hippocampal slices. (1993)

Proteolytic processing of the beta-amyloid protein precursor (APP) is regulated by cell-surface receptors. To determine whether neurotransmitter release in response to neuronal activation regulates APP processing in brain, we electrically depolarized superfused rat hippocampal slices and measured soluble APP derivatives released into the superfusate. Electrical depolarization caused a rapid increase in the release of both neurotransmitters and amino-terminal APP cleavage products. These derivatives lacked the APP carboxyl terminus and were similar to those found in both cell culture media and human cerebrospinal fluid. Superfusate proteins including lactate dehydrogenase were not changed by electrical depolarization. The release of amino-terminal APP derivatives increased with increasing stimulation frequencies from 0 to 30 Hz. The increased release was inhibited by the sodium-channel antagonist tetrodotoxin, suggesting that action-potential formation mediates the release of large amino-terminal APP derivatives. These results suggest that neuronal activity regulates APP processing in the mammalian brain.
AZD0284, a Potent, Selective, and Orally Bioavailable Inverse Agonist of Retinoic Acid Receptor-Related Orphan Receptor C2 (2021)

Inverse agonists of the nuclear receptor RORC2 have been widely pursued as a potential treatment for a variety of autoimmune diseases. We have discovered a novel series of isoindoline-based inverse agonists of the nuclear receptor RORC2, derived from our recently disclosed RORC2 inverse agonist <b>2</b>. Extensive structure-activity relationship (SAR) studies resulted in AZD0284 (<b>20</b>), which combined potent inhibition of IL-17A secretion from primary human T<sub>H</sub>17 cells with excellent metabolic stability and good PK in preclinical species. In two preclinical <i>in vivo</i> studies, compound <b>20</b> reduced thymocyte numbers in mice and showed dose-dependent reduction of IL-17A containing γδ-T cells and of IL-17A and IL-22 RNA in the imiquimod induced inflammation model. Based on these data and a favorable safety profile, <b>20</b> was progressed to phase 1 clinical studies.
Automatic Testing of the EMI Due to the Switching Frequency of the PWM Signal (2008)

An autotuning system, which takes into account the self-compatibility of power converters, is proposed in this paper. It is based on a startup routine and a self-disturbance evaluation board, which selects the optimal switching frequencies for the power converter in order to decrease the internal disturbances in terms of electromagnetic interference between the power section and the control one. The entire test and tuning system does not require any field or current sensor but just digital comparators and counters. This configuration allows achieving a robust and low-cost autotuning system for internal compatibility of power converters.
A Practical Approach to Constructing a Knowledge Graph for Cybersecurity (2018)

Cyberattack forms are complex and varied, and the detection and prediction of dynamic types of attack are always challenging tasks. Research on knowledge graphs is becoming increasingly mature in many fields. At present, it is very significant that certain scholars have combined the concept of the knowledge graph with cybersecurity in order to construct a cybersecurity knowledge base. This paper presents a cybersecurity knowledge base and deduction rules based on a quintuple model. Using machine learning, we extract entities and build ontology to obtain a cybersecurity knowledge base. New rules are then deduced by calculating formulas and using the path-ranking algorithm. The Stanford named entity recognizer (NER) is also used to train an extractor to extract useful information. Experimental results show that the Stanford NER provides many features and the useGazettes parameter may be used to train a recognizer in the cybersecurity domain in preparation for future work.
Copolymeric systems with pendant thioxanthone and α‐morpholinoacetophenone moieties as photosensitizing and photoinitiating agents for UV‐curable pigmented coatings (1995)

Abstract The synthesis and structural characterization of copolymers of 1‐[(2‐acryloyloxy) ethoxycarbonyl]thioxanthone (ATX) with 1‐[4‐(2‐acryloyloxyethylthio)phenyl]‐2‐methyl‐2‐morpholino‐propan‐1‐one (AMMP), as well as ATX, AMMP and n ‐butyl acrylate (BA) terpolymers, is reported. These copolymeric systems have been checked in the photoinitiated polymerization in film matrix of the 1,6‐hexanediol diacrylate (HDDA)–BA equimolar mixture under UV irradiation over 380 nm, i.e., under conditions simulating a TiO 2 ‐pigmented acrylic coating formulation, and compared with the corresponding mixture of low‐molecular‐weight structural models 1‐[(2‐isobutyroyloxy)ethoxycarbonyl]thioxanthone (ITX) and 1‐[4‐(2‐isobutyroyloxyethylthio)phenyl]‐2‐methyl‐2‐morpholino‐propan‐1‐one (IMMP). The much higher photoinitiation activity shown by the copolymers is discussed in terms of close vicinity of thioxanthone and α‐morpholinoacetophenone moieties along the backbone, which favors the excitation energy transfer from the former to the latter photosensitive group. © 1995 John Wiley & Sons, Inc.
Synthesis and Properties of Naphthobisbenzothiophene Diimides (2013)

Laterally extended naphthalene diimides composed of naphthobisbenzothiophene skeleton and two imide groups were synthesized, which exhibit interesting packing arrangements and optoelectrical properties.