gebhart/patrepeval huggingface dataset:
The effect of volatile anesthetics on cellular responses in the microcirculation of free tissue transfers (2021)

The purpose of this review was to summarize the anti-inflammatory and immunosuppressive properties of volatile anesthetics and present their potential impact on the outcomes of major surgical procedures as well as microsurgical cases of free tissue transfer. Inhaled anesthetics are commonly used as a component of general anesthesia in interventional procedures, reconstructive surgery, free tissue transfers and transplantation. Experimental and clinical studies have shown that volatile anesthetics such as halothane, sevoflurane, isoflurane or desflurane can affect the immune system of patients exposed to general anesthesia. In patients with no serious systemic diseases, this effect is transient and mostly clinically irrelevant. However, in patients subjected to the inflammatory response due to the active disease, cardiac or pulmonary failure or advanced age, the prognosis may improve or worsen following inhalation anesthesia depending on the type of systemic pathology. The available data from reported clinical trials, as well as the <i>in vitro</i> and <i>in vivo</i> experimental studies, have often reported conflicting statements regarding the impact of inhalation anesthetics on outcomes of surgical procedures. These differences may be due to the heterogeneity of the evaluated patients, the extent and duration of surgical procedures, and different experimental design and methodologies applied for assessment of the reported clinical and research studies. In this review, based on the available literature reports we have summarized the anti-inflammatory and immunosuppressive effects as well as cellular responses of inhalation anesthetics at the microcirculatory level and discussed their potential clinical implications for the outcomes of surgical procedures of free tissue transfers.
Factors influencing the successful validation of transient phenomenon modelling (2010)

An increased requirement for validation of computational electromagnetic simulation and modelling through the publication of IEEE Standard 1597.1 brings to light some interesting issues surrounding the validation of transients. The structure of a transient event has three particular regions of interest that can have an influence on the results, of which only two are generally well defined. These are the initial quiescent phase from t = 0 to the transient event; the transient event itself up to the point where the energy has fallen to a predefined limit, and the post-transient phase where residual energy is still present in the system. This latter region is generally ill-defined and changes the way that a validation comparison should be made, from, for example a frequency domain coupling study where the region of interest is usually well defined. This study looks at the influence of the three regions on the validation results and suggests how the Feature Selective Validation (FSV) method can be applied in transient studies.
T-Waves in the Exercise ECG: Their Location and Occurrence (1979)

The automated location of T-wave fiducial points in single lead exercise ECG's is facilitated by using R-Tmax and R-Tend intervals predicted from heart rate. Predictive equations for these intervals were developed; algorithms were subsequently designed and tested on 8380 averaged ECG beats from 146 patients. Of 6775 ECG beats with monophasic T-waves, 98 percent of Tmax and 96 percent of Tend fiducial points were correctly identified by these algorithms. The predictive equations and associated algorithms are discussed.
Chromogenic azole diazothiacrown ethers (2008)

Azocrown ethers with sulphur atoms and pyrrole or imidazole residue as a part of macrocycle have been synthesised. Their metal complexation abilities in acetonitrile were studied using UV–vis spectrophotometry. The largest spectral changes were observed for both pyrrole- and imidazole-azothiacrown ethers on complexation with Pb2 + , Cu2 + , Zn2 + , Ni2 + , Co2 + and Ag+ ions. In the case of alkali and alkaline earth metal ions no spectral changes were found. Preliminary studies of ion-selective membrane electrodes with synthesised ionophores are presented. In the measurement for transition/heavy metal cations, only copper and lead give high responses. X-ray structure of 18-membered pyrrole azothiacrown ether is described.
Enzyme-Free Amplified Detection of DNA by an Autonomous Ligation DNAzyme Machinery (2012)

The Zn(2+)-dependent ligation DNAzyme is implemented as a biocatalyst for the amplified detection of a target DNA by the autonomous replication of a nucleic acid reporter unit that is generated by the catalyzed ligation process. The reporter units enhance the formation of active DNAzyme units, thus leading to the isothermal autocatalytic formation of the reporter elements. The system was further developed and applied for the amplified detection of Tay-Sachs genetic disorder mutant, with a detection limit of 1.0 × 10(-11) M. Besides providing a versatile paradigm for the amplified detection of DNA, the system reveals a new, enzyme-free, isothermal, autocatalytic mechanism that introduces means for effective programmed synthesis.
Active thermography signal processing techniques for defect detection and characterization on composite materials (2010)

Active thermography has been extensively investigated in the past few years for the nondestructive evaluation of different types of materials. Composites in particular have received considerable attention given that active thermography has shown to be well suited for the detection and characterization of most kinds of defects typically found in these materials such as impact damage, delaminations, disbonds and inclusions. Signal processing is a necessary step of the inspection process, especially if defect characterization is required. A wide variety of techniques have been developed from the classical thermal-based techniques to signal transformation algorithms (adapted from the area of machine vision) on which temporal data is transformed to a different domain (frequency, Hough, principal components, Laplace, high-order moments, etc.) with the purpose of simplifying data analysis. In this paper, a review of some of these processing techniques is presented and exemplified using a Kevlar® panel and a GLARE specimen. © 2010 Copyright SPIE - The International Society for Optical Engineering.
Blind Subcarrier Frequency Ambiguity Resolution for OFDM Signals Over Selective Channels (2004)

Many frequency-recovery algorithms for orthogonal frequency-division multiplexing systems are geared to recover offsets up to half the distance of the subcarriers. If the error is larger, an ambiguity of an integer number of subcarrier spacings is left. This paper develops a blind algorithm for ambiguity resolution that works effectively over frequency-selective radio channels. Simulation results show a sizable improvement over existing techniques, expecially at high signal-to-noise ratios.
Investigation of Human Endogenous Retrovirus-K (ERVK) Expression and Function in Normal Placentation and Preterm Pregnancy (2021)

Abstract Background There is a growing body of evidence indicating the importance of endogenous retrovirus (ERV) derived proteins during early development and reproduction in mammals. Recently, a protein derived from the youngest ERV in humans, ERVK (HML2), was shown to be expressed during human placentation. Since a number of highly similar ERVK proviral loci exist across the human genome, locus-specific analysis of ERVK transcription and identification of the coding sequence expressed in the human placenta is difficult. Thus, despite its activity in early human development, the native expression and function of ERVK in the human placenta remains largely uncharacterized. Results In this study, we comprehensively examined locus-specific ERVK transcription across several human placental tissues and cell types. Through a combination of RNA-seq and siRNA knock-down analyses, we identified the expression of a single ERVK locus, ERVK11q23.3, as (1) being significantly upregulated in preterm compared to term placenta, (2) predominantly expressed by mononuclear trophoblasts, (3) capable of encoding a truncated viral-like envelope protein, and (4) contributing to the expression cytokines involved in both antiviral and anti-inflammatory innate immune responses in human placental trophoblasts and BeWo choriocarcinoma cells, respectively. Conclusions Collectively, the results of this study highlight the utility of studying locus-specific ERVK expression, provide a thorough characterization of locus-specific ERVK transcription from human placental tissues, and indicate that altered expression of placental ERVK11q23.3 influences interferon antiviral response, which may contribute to preterm birth and other pregnancy complications.
Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome (2005)

These interactions and the accuracy benchmarks will aid interpretation of current functional genomics data and provide a basis for determining the quality of future large-scale human protein interaction assays. Projecting from the approximately 15 interactions per protein in the best-sampled interaction set to the estimated 25,000 human genes implies more than 375,000 interactions in the complete human protein interaction network. This set therefore represents no more than 10% of the complete network.
Glial cell line-derived neurotrophic factor promotes sleep in rats and rabbits (2001)

Various growth factors (e.g., growth hormone-releasing hormone, acidic fibroblast growth factor, nerve growth factor, brain-derived neurotrophic factor, and interleukin-1) are implicated in sleep regulation. It is hypothesized that neuronal activity enhances the production of such growth factors, and they in turn form part of the sleep regulatory mechanism. Glial cell line-derived neurotrophic factor (GDNF) promotes development, differentiation, maintenance, and regeneration of neurons, and its production is induced by well-characterized sleep regulatory substances such as interleukin-1 and tumor necrosis factor. Therefore, we investigated whether GDNF would promote sleep. Twenty-six male Sprague-Dawley rats and 30 male New Zealand White rabbits were surgically implanted with electroencephalogram (EEG) and electromyogram (EMG; rats only) electrodes, a brain thermistor, and a lateral intracerebroventricular cannula. The animals were injected intracerebroventricularly with pyrogen-free saline and on a separate day with one of the following doses of GDNF: 5, 50, and 500 ng in rabbits and 50 and 500 ng in rats. The EEG, brain temperature, EMG (in rats), and motor activity (in rabbits) were recorded for 23 h after the intracerebroventricular injection. GDNF (500-ng dose) increased the time spent in nonrapid eye movement sleep in both rats and rabbits. Rapid eye movement sleep was not affected by the lower doses of GDNF but was inhibited in rabbits after the high dose. EEG slow-wave activity was not affected by GDNF. The current results provide further evidence that various growth factors are involved in sleep regulation.
Road traffic networks: Optimal transport and incentives (2013)

In this paper we analyze the effectiveness of incentives in reducing highway congestion by shifting some commuters to travel in the off-peak hour. We develop a model for the reduction of transport capacity due to congestion in a highway segment, building on previous work. Under this model, the “waiting time” of a commuter is taken to be equal to their actual commuting time less the time needed to traverse the highway segment under free flow. We wish to minimize the “cost of congestion”, which is equal to the sum of the waiting times of all commuters, by incentivizing some commuters to shift from the peak hour. We find that the cost of congestion is intimately related to the Wasserstein distance of optimal transport theory. Further, we find that the cost of congestion is a convex function of the arrival rate distribution. We then formulate a model for the cost of shifting user arrival times to obtain a new arrival time distribution with lower congestion. Using an example, we shall illustrate the benefits of shifting commuter behavior to reduce peak hour traffic congestion.
MP2C, a plant protein phosphatase 2C, functions as a negative regulator of mitogen-activated protein kinase pathways in yeast and plants (1998)

By interference of the yeast pheromone mitogen-activated protein kinase (MAPK) pathway with an alfalfa cDNA expression library, we have isolated the MP2C gene encoding a functional protein phosphatase type 2C. Epistasis analysis in yeast indicated that the molecular target of the MP2C phosphatase is Ste11, a MAPK kinase kinase that is a central regulator of the pheromone and osmosensing pathways. In plants, MP2C functions as a negative regulator of the stress-activated MAPK (SAMK) pathway that is activated by cold, drought, touch, and wounding. Although activation of the SAMK pathway occurs by a posttranslational mechanism, de novo transcription and translation of protein factor(s) are necessary for its inactivation. MP2C is likely to be this or one of these factors, because wound-induced activation of SAMK is followed by MP2C gene expression and recombinant glutathione S-transferase-MP2C is able to inactivate extracts containing wound-induced SAMK. Wound-induced MP2C expression is a transient event and correlates with the refractory period, i.e., the time when restimulation of the SAMK pathway is not possible by a second stimulation. These data suggest that MP2C is part of a negative feedback mechanism that is responsible for resetting the SAMK cascade in plants.
Sensitivity enhancement by signal averaging in pulsed/Fourier transform NMR spectroscopy (1984)

The behavior of the nuclear magnetization during the repetitive application of the pulse-data acquisition sequence is considered from the classical point of view, from which some relations between signal intensity and experimental parameters can be obtained.
Use of the TurboSiP(C) Software to Predict the Long-Term Reliability of Solder Joints on Photovoltaic Systems. (2016)

Abstract not provided.
Structured Learning Applied to Consumer Goods Recommended (2017)

Nowadays, E-commerce websites and recommendation systems are so common in our lives. From collected data in E-commerce websites, we found there are some repeated products in customers' buying history in different period. These consuming product will be purchased once again after customers run out of these products. Therefore, our recommendation system will focus on consuming product. The approach we used differs from previous recommendation systems by taking into consideration time series and repeated purchases. We think there is a strong relationship between time and consuming products according to users' behavior of purchasing repeatedly. On the other hand, we also try to use structured learning, which can add constraint on different users to get products which customers much more prefer. That is, it exists ranking concept in recommendation system, and we try to use structured learning to solve it. In this paper, we also design user features, item features, user-item features, and time-related features. Data collected is used with state-of-the-art Machine Learning algorithms. We establish a prediction model to test data split by time. The experiments shows that the top 5 F-measures are 66.38% higher than the previous study [3] done last year, and we thus providing an effective recommendation system.
Advanced process development using numerical simulation (1995)

In 1993 the flash EEPROM share of the memory market increased by 73%, establishing it as the fastest growing segment of the non-volatile memory market. The aim of this work is to develop and integrate a flash EEPROM memory module into an existing CMOS process without compromising its performance. A design methodology is presented which demonstrates the use of numerical simulation in the evaluation of different process options, before committing the design to silicon. (6 pages)
Conformational Dynamics of Transmembrane Domain 3 of Presenilin 1 Is Associated with the Trimming Activity of γ-Secretase (2019)

γ-Secretase is an intramembrane-cleaving protease that generates the toxic species of the amyloid-β peptide (Aβ) that is responsible for the pathology of Alzheimer disease. The catalytic subunit of γ-secretase is presenilin 1 (PS1), which is a polytopic membrane protein with a hydrophilic catalytic pore. The length of the C terminus of Aβ is proteolytically determined by its processive trimming by γ-secretase, although the precise mechanism still remains largely unknown. Here, we identified that transmembrane domain (TMD) 3 of human PS1 is involved in the formation of the intramembranous hydrophilic pore. Notably, the water accessibility of TMD3 was greatly altered by point mutations and compounds, which modify γ-secretase activity. The changes in the water accessibility of TMD3 was also correlated with Aβ42 production. Moreover, crosslinking between TMD3 and TMD7 resulted in a loss of sensitivity to a γ-secretase modulator that reduces Aβ42 production. Therefore, our findings indicate that the conformational dynamics of TMD3 is a prerequisite for regulation of the Aβ trimming activity of γ-secretase.<b>SIGNIFICANCE STATEMENT</b> Modulation of γ-secretase activity to reduce the level of toxic amyloid-β species is thought to be a therapeutic strategy for Alzheimer disease. However, the detailed mechanism of the regulation of amyloid-β production, as well as the structure-and-activity relationship of γ-secretase remains unclear. Here we identified that the water accessibility around transmembrane domain 3 in presenilin 1 was increased along with a reduction in toxic amyloid-β production. Our findings demonstrate how the structure of presenilin 1 dynamically changes during amyloid-β production, and provides insights toward the development of treatments against Alzheimer disease.
Fuzzy-Logic-Based Sliding-Mode Controller Design for Position-Sensorless Electric Vehicle (2009)

A control system by means of the back electromotive force method is designed for the position-sensorless electric vehicle (EV) after analyzing the principle of position-sensorless control for brushless dc motor. Aiming at the main problems of EV: variation of model and short driving range, a fuzzy sliding-mode controller (FSMC) with regeneration is designed for the EV. The controller uses fuzzy switching gain adjustment to avoid the whippings. The experimental results show that the control system of position-sensorless EV can successfully achieve position-sensorless commutation control and replace Hall sensors. FSMC possesses better performance and higher efficiency than the proportional-integral-differential controller. Additionally, it can recover more energy and increase more driving range.
On “Can a comprehensive lymphedema management program decrease limb size and reduce the incidence of infection in a woman with postmastectomy lymphedema?” (2002)

lie on Evidence in Practice: We encourage Journal readers to respondOn "Can a comprehensive lymphedema management program decrease limb size and reduce the incidence of infection in a woman with postmastectomy lymphedema?'':
Oxidation kinetics of nickel particles: Comparison between free particles and particles embedded in a dielectric matrix (1998)

Oxidation kinetics of nickel particles: Comparison between free particles and particles embedded in a dielectric matrix
Preparations and Properties of Some Derivatives of Pseudo-Geminal Ketone of Tris[2.2.2]paraxylylene (1976)

Abstract Some derivatives of pseudo-geminal ketone of tris[2.2.2]paraxylylene (I) were prepared and their spectral properties were investigated in connection with their structural characteristics. The stereochemistry of two isomers of pseudo-geminal carbinols of tris[2.2.2]paraxylylene (III and V) was determined on the basis of chemical shifts of benzhydryl protons and Ho protons in NMR spectra and also of νO-H bands in IR spectra. The difference in chemical shifts of Hp protons of the two alcohols was explained in terms of the change in electron densities of para carbon atoms.
Speech forensics: Automatic acquisition device identification. (2010)

Automatic identification-of-the-source is an important problem in the field of speech forensics. That is, given a speech recording, the problem is to determine how to automatically determine the exact make and model of the acquisition device regardless of the speaker and speech content. Recent work developed by the authors have shown that statistical modeling of the device characteristics in terms of MFCCs provides excellent discriminative power when the recordings are obtained under controlled conditions (i.e., all recordings come from the same room and a unique device per class is used). In this study we propose to expand these results by analyzing the effects that room acoustics and intra-device variability have in the source identification accuracy. To perform this analysis, the NIST 2008 SRE dataset will be used. This corpus provides recordings acquired with multiple devices of the same make and model in different rooms.
Light up conversion versus light down conversion in radiative cooling of semiconductors (2014)

Aimed to promote light conversion processes for radiative cooling of solids, we consider operation principles and fundamentals of two recently discovered approaches to make semiconductors cooled through photo excitation of free carriers. These are light up conversion that is due to above bandgap thermal-assisted luminescence converting heat into light and light down conversion occurring due to the enhancement of the thermal emission output when the overall energy of multiple below bandgap photons escaping a semiconductor exceeds the energy of a single pumped photon. These two processes come at the cost of the internal energy of an object by causing therefore it cooled. Figures of merit will be the microscopy of the processes, cooler band structure, entropy limitations, cooling power, cooling and power conversion efficiencies, and cooling temperature range.
Effect of Exceptional Valine Replacement for Highly Conserved Alanine-55 on the Catalytic Site Structure of Chymotrypsin-Like Serine Protease. (1998)

The catalytic triad consisting of His57, Asp102 and Ser195, which is completely conserved within the chymotrypsin-like serine protease family, plays a central role in catalysis. Highly conserved Ala55 also likely plays an important role in catalysis due to its location just behind the catalytic triad. The only exception to the conserved Ala55 in mammalian serine proteases is Val55 in bovine protein C. Interestingly, it has been demonstrated that the replacement of Ala55 with Thr results in the reduced activity of plasmin in patients with venous thrombosis and with retinochoroidal vascular disorders, which indicates the importance of Ala55 in catalysis. In the present study, we constructed a bovine protein C model which shows that Val55 causes no serious rearrangement of the catalytic site structure. We also constructed an A55T variant model of trypsin for comparison. The A55T substitution alters His57 into an inactive conformation, forming an unusual hydrogen bond between Thr55 O gamma 1 and His57 N epsilon 2. The present study shows that the Ala/Val55 residue contributes heavily to the active conformation of His57 and enables His57 to accept a proton from Ser195 O gamma effectively.
Pin1 positively affects tumorigenesis of esophageal squamous cell carcinoma and correlates with poor survival of patients (2014)

Pin1 upregulation was associated with advanced stage and poor prognosis of ESCC. Pin1 knockdown inhibited aggressiveness of ESCC cells. β-catenin and cyclin D1 were positively regulated by Pin1. These results indicated that targeting Pin1 pathway could represent a potential modality for treating ESCC.