gebhart/patrepeval huggingface dataset:
GT36 Turbine Development and Full-Scale Validation (2021)

Abstract This paper describes the full-scale turbine section validation of the GT36 heavy duty gas turbine, which was conducted in a test Power Plant in Birr, Switzerland. The GT36 Test Power Plant is extensively instrumented with both standard and specialised instrumentation. In the turbine section, specialised instrumentation includes metal and gas thermocouples, thermal paint, pressure sensors, hot gas rakes, strain gauges, five-hole probes, pyrometers and tip timing sensors. Similar specialised instrumentation also exists for the compressor, combustor and the rotor sections. Three major test campaigns were conducted over an extended period, which consisted of both long and short duration tests, including a range of off-design tests. Within the turbine section, detailed transient and steady-state measurements were obtained of the stage inlet pressures and temperatures, airfoil surface pressures and metal temperatures. These measurements indicated that both the aerodynamic and cooling performances of the turbine blades and vanes are highly consistent and repeatable over a range of operating conditions. Detailed comparisons of the measured engine pressures and temperatures with predictions also indicated that there was generally a very good match in the Mach numbers and metal temperatures for all the turbine blades and vanes.
UV Radiation Induces Genome‐Mediated, Site‐Specific Cleavage in Viral Proteins (2012)

Much research has been dedicated to understanding the molecular basis of UV damage to biomolecules, yet many questions remain regarding the specific pathways involved. Here we describe a genome-mediated mechanism that causes site-specific virus protein cleavage upon UV irradiation. Bacteriophage MS2 was disinfected with 254 nm UV, and protein damage was characterized with ESI- and MALDI-based FT-ICR, Orbitrap, and TOF mass spectroscopy. Top-down mass spectrometry of the products identified the backbone cleavage site as Cys46-Ser47 in the virus capsid protein, a location of viral genome-protein interaction. The presence of viral RNA was essential to inducing backbone cleavage. The similar bacteriophage GA did not exhibit site-specific protein cleavage. Based on the major protein fragments identified by accurate mass analysis, a cleavage mechanism is proposed by radical formation. The mechanism involves initial oxidation of the Cys46 side chain followed by hydrogen atom abstraction from Ser47 C(α). Computational protein QM/MM studies confirmed the initial steps of the radical mechanism. Collectively, this study describes a rare incidence of genome-induced protein cleavage without the addition of sensitizers.
Triiodothyronine induces UCP-1 expression and mitochondrial biogenesis in human adipocytes (2011)

Uncoupling protein (UCP)-1 expressed in brown adipose tissue plays an important role in thermogenesis. Recent data suggest that brown-like adipocytes in white adipose tissue (WAT) and skeletal muscle play a crucial role in the regulation of body weight. Understanding of the mechanism underlying the increase in UCP-1 expression level in these organs should, therefore, provide an approach to managing obesity. The thyroid hormone (TH) has profound effects on mitochondrial biogenesis and promotes the mRNA expression of UCP in skeletal muscle and brown adipose tissue. However, the action of TH on the induction of brown-like adipocytes in WAT has not been elucidated. Thus we investigate whether TH could regulate UCP-1 expression in WAT using multipotent cells isolated from human adipose tissue. In this study, triiodothyronine (T(3)) treatment induced UCP-1 expression and mitochondrial biogenesis, accompanied by the induction of the CCAAT/enhancer binding protein, peroxisome proliferator-activated receptor-γ coactivator-1α, and nuclear respiratory factor-1 in differentiated human multipotent adipose-derived stem cells. The effects of T(3) on UCP-1 induction were dependent on TH receptor-β. Moreover, T(3) treatment increased oxygen consumption rate. These findings indicate that T(3) is an active modulator, which induces energy utilization in white adipocytes through the regulation of UCP-1 expression and mitochondrial biogenesis. Our findings provide evidence that T(3) serves as a bipotential mediator of mitochondrial biogenesis.
Triplet structure of von Willebrand factor reflects proteolytic degradation of high molecular weight multimers. (1993)

High molecular weight (HMW) and low molecular weight (LMW) forms of von Willebrand factor (vWF) were isolated from normal human plasma in the presence of protease inhibitors. HMW and LMW vWF preparations were subjected to reduction of interdimeric disulfide bridges under mild reducing conditions. Following sodium dodecyl sulfate electrophoresis in 3% agarose, the vWF bands were detected by immunoblotting with a polyclonal rabbit anti-vWF antiserum as well as with two monoclonal antibodies directed against epitopes located in the NH2-terminal (MAb 418) or in the COOH-terminal (MAb 9) region of the vWF subunit. Our results suggest that the slowest migrating band of the dimeric triplet set of LMW vWF represents an asymmetric structure composed of an intact subunit to which one NH2-terminal and one COOH-terminal fragment are linked by disulfide bridges. The intermediate band of the first triplet of LMW vWF strongly reacted with MAb 9 but not with MAb 418, indicating that it represents a dimer of COOH-terminal fragments. The fastest migrating band of the same triplet is apparently a dimer of the NH2-terminal fragments because it reacted with MAb 418 but not with MAb 9. Each next higher family of triplets seems to contain one more asymmetric fragment of dimeric size. These results are compatible with a model according to which LMW forms of vWF are derived from HMW vWF by proteolytic cleavage in the circulating blood.
Cerebrospinal Fluid Protein Biomarker Discovery in CLN3 (2023)

Syndromic CLN3-Batten is a fatal, pediatric, neurodegenerative disease caused by variants in <i>CLN3</i>, which encodes the endolysosomal transmembrane CLN3 protein. No approved treatment for CLN3 is currently available. The protracted and asynchronous disease presentation complicates the evaluation of potential therapies using clinical disease progression parameters. Biomarkers as surrogates to measure the progression and effect of potential therapeutics are needed. We performed proteomic discovery studies using cerebrospinal fluid (CSF) samples from 28 CLN3-affected and 32 age-similar non-CLN3 individuals. Proximal extension assay (PEA) of 1467 proteins and untargeted data-dependent mass spectrometry [MS; MassIVE FTP server (ftp://MSV000090147@massive.ucsd.edu)] were used to generate orthogonal lists of protein marker candidates. At an adjusted <i>p</i>-value of <0.1 and threshold CLN3/non-CLN3 fold-change ratio of 1.5, PEA identified 54 and MS identified 233 candidate biomarkers. Some of these (NEFL, CHIT1) have been previously linked with other neurologic conditions. Others (CLPS, FAM217B, QRICH2, KRT16, ZNF333) appear to be novel. Both methods identified 25 candidate biomarkers, including CHIT1, NELL1, and ISLR2 which had absolute fold-change ratios >2. NELL1 and ISLR2 regulate axonal development in neurons and are intriguing new candidates for further investigation in CLN3. In addition to identifying candidate proteins for CLN3 research, this study provides a comparison of two large-scale proteomic discovery methods in CSF.
Types and modularity for implicit invocation with implicit announcement (2010)

Through implicit invocation, procedures are called without explicitly referencing them. Implicit announcement adds to this implicitness by not only keeping implicit which procedures are called, but also where or when—under implicit invocation with implicit announcement, the call site contains no signs of that, or what it calls. Recently, aspect-oriented programming has popularized implicit invocation with implicit announcement as a possibility to separate concerns that lead to interwoven code if conventional programming techniques are used. However, as has been noted elsewhere, as currently implemented it establishes strong implicit dependencies between components, hampering independent software development and evolution. To address this problem, we present a type-based modularization of implicit invocation with implicit announcement that is inspired by how interfaces and exceptions are realized in Java. By extending an existing compiler and by rewriting several programs to make use of our proposed language constructs, we found that the imposed declaration clutter tends to be moderate; in particular, we found that, for general applications of implicit invocation with implicit announcement, fears that programs utilizing our form of modularization become unreasonably verbose are unjustified.
Elucidating the growth mechanism of ZnO films by atomic layer deposition with oxygen gas via isotopic tracking (2021)

The growth process of zinc oxide (ZnO) thin films by atomic layer deposition (ALD) accompanied by the presence of oxygen gas pulsing is investigated by means of the isotopic tracking of oxygen <sup>18</sup>O from the water precursor and oxygen <sup>16</sup>O from the gas.
A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture (2018)

Rapid and accurate counting and recognition of flying insects are of great importance, especially for pest control. Traditional manual identification and counting of flying insects is labor intensive and inefficient. In this study, a vision-based counting and classification system for flying insects is designed and implemented. The system is constructed as follows: firstly, a yellow sticky trap is installed in the surveillance area to trap flying insects and a camera is set up to collect real-time images. Then the detection and coarse counting method based on You Only Look Once (YOLO) object detection, the classification method and fine counting based on Support Vector Machines (SVM) using global features are designed. Finally, the insect counting and recognition system is implemented on Raspberry PI. Six species of flying insects including bee, fly, mosquito, moth, chafer and fruit fly are selected to assess the effectiveness of the system. Compared with the conventional methods, the test results show promising performance. The average counting accuracy is 92.50% and average classifying accuracy is 90.18% on Raspberry PI. The proposed system is easy-to-use and provides efficient and accurate recognition data, therefore, it can be used for intelligent agriculture applications.
Industrial Production with Phosgene Production industrielle avec le phosgène (1998)

Phosgene is a highly toxic substance. The industrial production using phosgene can be mastered as long as adequate measures regarding safety and environment protection are taken. The following requirement must be respected at all times: 'Any phosgene leaking out of the plant must be collected and destroyed'.The present case study shows how this requirement is implemented at Novartis Crop Protection Inc. in Monthey by manufacturing and using phosgene in equipment considered intrinsically safe. Indeed, implementation of 'dynamic' reactors for the production of phosgene, manufacturing and delivering the phosgene just-in-time to the users, without intermediate storage, have made it possible to strongly reduce the quantities of phosgene contained in the plant. Furthermore, confinement in a double envelope of the phosgene production, supply and utilization equipment, makes it possible to collect any leakage with ultimate destruction of the phosgene in specific installations.
Software Product Line Analysis Using Variability-aware Datalog (2021)

Applying program analyses to Software Product Lines (SPLs) has been a fundamental research problem at the intersection&lt;br&gt;of Product Line Engineering and software analysis. Different attempts have been made to "lift" particular product-level analyses to run on the entire product line. In this paper, we tackle the class of Datalog-based analyses (e.g., pointer and taint analyses), study the theoretical aspects of lifting Datalog inference, and implement a lifted inference algorithm inside the Souffl Datalog engine. We evaluate our implementation on a set of Java and C-language benchmark product lines. We show significant savings in processing time and fact database size (billions of times faster on one of the benchmarks) compared to brute-force analysis of each product individually.
A Quantum Mechanical Study of the Thermal Conduction Across a ZrB2-SiC Interface as a Function of Temperature and Strain (2011)

Studies on nanocomposites have proven them to be a promising option for various applications based on their excellent thermal and mechanical properties, especially at high temperatures. Such materials consist of heterogeneities in the form of interfaces, grain boundaries, triple junctions, and second phase dispersion. It is, therefore, important to understand the effect of heat transfer across a nanocomposite interface on its thermal conduction behavior. Analyses need to take into account possible phase changes as a function of changes in temperature and thermal stress levels. In the present research, atomistic analyses of thermal conduction across a nanocomposite interface are performed using quantum simulations based on plane-wave basis sets combined with the density function theory (DFT). Analyses of the effect of straining on the nanocomposite property changes are performed to study it as a promising means to obtain nanocomposites with tailored properties.
Business/enterprise modeling (1990)

This paper reports on pertinent aspects of business/enterprise modeling studies that were conducted with nine IBM customers using what are now called computer-aided software engineering (CASE) tools. Coming shortly after the recent AD/Cycle™ announcement and the increased focus in IBM on tool-supported (CASE) business/enterprise modeling, this description of actual modeling studies should be especially germane. The model definitions (dimensions) used in the studies correspond exactly to many of the dimensions used by AD/Cycle, DevelopMate™, and the Repository Manager™. Compelling business reasons for conducting the studies are identified.
Viable Bacteria Associated with Red Blood Cells and Plasma in Freshly Drawn Blood Donations (2015)

Viable bacteria are present in blood from donors self-reported as medically healthy, indicating that conventional test systems employed by blood banks insufficiently detect bacteria in plasma. Further investigation is needed to determine whether routine testing for anaerobic bacteria and testing of RBC-fractions for adherent bacteria should be recommended.
Hepatitis E Infection in a Longitudinal Cohort of Hepatitis C Virus and HCV/HIV Coinfected Persons (2021)

Hepatitis E virus (HEV) is thought to be common in the United States with increased prevalence in those with concomitant hepatitis C virus (HCV) or HCV/HIV coinfection. Little is known regarding true prevalence, incidence, and antibody seroreversion in these populations. We sought to define these rates among HCV and HCV/HIV coinfected persons in the Washington, DC area. Two longitudinal cohorts of HCV and HCV/HIV coinfected subjects from the Washington, DC area were evaluated. Multiple HEV test modalities were deployed including immunoglobulin G (IgG) and immunoglobulin M (IgM) antibody testing, evaluation of antibody avidity, HEV RNA testing, and HEV enzyme-linked immune absorbent spot (ELISPOT) analysis. A total of 379 individuals were evaluated including 196 who were HCV monoinfected and 183 HCV/HIV coinfected. Anti-HEV IgG was detected and confirmed in 18.7% of the cohort at baseline. None demonstrated anti-HEV IgM positive or HEV RNA positive results. Proportions of HEV antibody prevalence did not significantly differ between groups. Longitudinal follow-up samples were available for 226 individuals with a mean follow-up time of 24 months. Seroreversion was noted in 1.8%. One HCV/HIV infected person seroconverted to HEV IgG positivity in the followed cohort. About 40% of the positive population demonstrated high avidity suggestive of more remote exposure. Interferon gamma ELISPOT was performed in 70 subjects and false negative and false positive HEV enzyme-linked immunosorbent assay antibodies were identified. In HIV-infected persons in the United States HEV exposure and seroconversion is frequent enough that HEV should be considered in the differential diagnosis of acute hepatitis. Seroreversion may lead to underestimation of true infection risk.
Preliminary characterization test of HET and RIT with Nitrogen and Oxygen (2011)

The paper deals with the results of two test campaigns carried out at Alta and at Giessen University respectively on Snecma’s PPS1350-TSD Hall thruster and on RIT-10 ion engine for performance characterization with nitrogen and oxygen as propellants. The activity sponsored by the European Space Agency is of particular interest for RAM-EP concept. Both thrusters have operated in stable mode with both propellants, although as expected a degradation of performance has been observed, mainly due to the low ionization efficiency.
Enhanced rectal absorption of itazigrel formulated with polysorbate 80 micelle vehicle in rat: role of co-administered esterase (1994)

We investigated the effect of esterase on rectal absorption in the rat of itazigrel using polysorbate 80 (PS-80) micelle as a vehicle to overcome the poor aqueous solubility of itazigrel. The itazigrel formulation prepared with PS-80 increased the absorption compared with a 0.25% carmellose sodium suspension, probably by supplying the itazigrel solute to keep a high concentration at the epithelial surface. When esterase was co-administered with the formulations containing PS-80, the absorption of itazigrel from rat rectum was accelerated further, by rapid release of itazigrel from the micelle vehicle after enzymatic degradation of the PS-80 micelle.
l‐Lactate Dehydrogenase Identified as a Protein Tyrosine Phosphatase 1B Substrate by Using K‐BIPS (2020)

Kinases and phosphatases are major players in a variety of cellular events, including cell signaling. Aberrant activity or mutations in kinases and phosphatases can lead to diseases such as cancer, diabetes, and Alzheimer's. Compared to kinases, phosphatases are understudied; this is partly a result of the limited methods for identifying substrates. As a solution, we developed a proteomics-based method called kinase-catalyzed biotinylation to identify phosphatase substrates (K-BIPS) that previously identified substrates of Ser/Thr phosphatases using small molecule inhibitors. Here, for the first time, K-BIPS was applied to identify substrates of a tyrosine phosphatase, protein tyrosine phosphatase 1B (PTP1B), under siRNA knockdown conditions. Eight possible substrates of PTP1B were discovered in HEK293 cells, including the known substrate pyruvate kinase. In addition, l-lactate dehydrogenase (LDHA) was validated as a novel PTP1B substrate. With the ability to use knockdown conditions with Ser/Thr or Tyr phosphatases, K-BIPS represents a general discovery tool to explore phosphatases biology by identifying unanticipated substrates.
Zweites Kapitel: Ziel, Methodik und Reichweite der qualitativ erhobenen Befunde (2023)

Die Arbeit beschäftigt sich mit der Schnittstelle zwischen Straf- und Aufsichtsrecht. Am Beispiel des § 54a KWG wird empirisch untersucht, wie sich das Strafrecht in Bereiche der prinzipienorientierten (Finanz-)Aufsicht einfügt. Um am kognitiven Potential der Institute zu partizipieren, normiert der Gesetzgeber mit § 25c Abs. 4a KWG prozedurale Anforderungen an das Risikomanagement und überlässt die konkrete Art der Umsetzung dieser Vorgaben den Instituten. Zugleich hat der Gesetzgeber mit § 54a KWG einen Verstoß gegen diese Risikomanagementvorgaben strafbewehrt. Dies führt zwangsläufig zu Spannungsverhältnissen – insbesondere mit den Zielen des Aufsichtsrechts und der vom Gesetzgeber normierten institutsinternen Wissensgenerierung.
Comparison of numerically determined noise of a 290 kW induction motor using FEM and measured acoustic radiation (2013)

Abstract In this paper a comparison of numerically determined and measured electromagnetically exited noise of an induction motor is presented. The calculations are accomplished using FEM for an example motor, which is a 290 kW inverter-fed asynchronous machine. The approach starts with the electromagnetic and mechanical consideration. The focus is set on acoustic considerations, which contain the 3D-FE-model and measurement setup in the sound chamber.
Resin Transfer Moldable Polyimides Developed for High-Temperature Applications (2000)

High-temperature polyimides, such as PMR 15 (which was developed at the NASA Glenn Research Center at Lewis Field), are becoming an increasingly important class of materials for a variety of aerospace applications, such as aircraft engine components and propulsion and airframe components for reusable launch vehicles (RLV s). Because of their high specific strength and low density, use of these materials in place of more traditional aerospace materials, such as titanium, can significantly reduce component and vehicle weight, leading to reductions in fuel consumption (and pollutants), increases in payload and passenger capacity, and improvements in vehicle performance.
Functional Mixed Effects Clustering with Application to Longitudinal Urologic Chronic Pelvic Pain Syndrome Symptom Data (2022)

By clustering patients with the urologic chronic pelvic pain syndromes (UCPPS) into homogeneous subgroups and associating these subgroups with baseline covariates and other clinical outcomes, we provide opportunities to investigate different potential elements of pathogenesis, which may also guide us in selection of appropriate therapeutic targets. Motivated by the longitudinal urologic symptom data with extensive subject heterogeneity and differential variability of trajectories, we propose a functional clustering procedure where each subgroup is modeled by a functional mixed effects model, and the posterior probability is used to iteratively classify each subject into different subgroups. The classification takes into account both group-average trajectories and between-subject variabilities. We develop an equivalent state-space model for efficient computation. We also propose a cross-validation based Kullback-Leibler information criterion to choose the optimal number of subgroups. The performance of the proposed method is assessed through a simulation study. We apply our methods to longitudinal bi-weekly measures of a primary urological urinary symptoms score from a UCPPS longitudinal cohort study, and identify four subgroups ranging from moderate decline, mild decline, stable and mild increasing. The resulting clusters are also associated with the one-year changes in several clinically important outcomes, and are also related to several clinically relevant baseline predictors, such as sleep disturbance score, physical quality of life and painful urgency.