gebhart/patrepeval huggingface dataset:
Homocysteine and other thiols in plasma and urine: automated determination and sample stability (1993)

We have developed a modified version of our fully automated column-switching HPLC method for determining total plasma homocysteine based on single-column (reversed-phase) separation. Homocysteine, cysteine, and cysteinylglycine in plasma (total concentrations), acid-precipitated plasma (non-protein-bound concentrations), and urine can be determined. The derivatization and chromatography were performed automatically by a sample processor. The successful separation of all thiol species (within 15 min) was accomplished by accurate adjustment of the pH of the mobile phase to 3.65 (plasma) or 3.50 (acid-precipitated plasma, urine). Maximal fluorescence yield of cysteine, cysteinylglycine, and, to a lesser degree, homocysteine was dependent on optimal concentrations of EDTA and dithioerythritol during reduction (with NaBH4) and derivatization (with monobromobimane). The method is sensitive (detection limit approximately 0.05 pmol) and has a high degree of precision (CV < 5%). The sample output is approximately 70 samples in 24 h. Serum and heparin plasma can also be analyzed. Hemolysis up to approximately 2.0 g/L of hemoglobin did not interfere with the analytical recovery of homocysteine or cysteine. Collection of blood, separation of plasma from whole blood, and acid precipitation must be standardized to obtain reproducible thiol results. Our modifications and the standardization of blood-sampling procedures have substantially improved the method and broadened its applications.
Research on Loss Allocation of Power Distribution Network Based on Power Flow Tracing (2012)

The introduction of distributed generation will bring new challenges to the theory of power electricity market. The problem of loss allocation is one of them. In the paper three contents are introduced. Firstly, a loss allocation method is proposed for power distribution network with distributed generation. Secondly, the changes of loss allocation which introduction of distributed generation before and after brings about are analyzed and compared and relevant conclusions are obtained. Lastly, a typical mini-grid with a distributed generation is simulated. Simulation results prove the correctness and feasibility of the method.
Study of 4.5 kV MOS-Power Device with Injection-Enhanced Trench Gate Structure (1997)

We propose two new MOS-power device structures, which realize lower on-state voltage than previously proposed injection-enhanced gate transistors (IEGTs). One is an improved IEGT (or IEGN), and the other is a MOS-controlled diode (or IEGD). Using 2-D numerical simulations, it has been confirmed that the IEGN and the IEGD realize a lower on-state voltage drop than the conventional IEGT, retaining MOS gate drivability. This means that the injection-enhanced gate structure improves the effective electron injection efficiency not only for transistor structures, but also for devices with a low-injection efficiency emitter. It has also been confirmed that the 4.5 kV IEGN and IEGD can operate under the same circuit conditions as a 4.5 kV GTO-thyristor.
Specific residues within an amino-terminal domain of 35 residues of interferon alpha are responsible for recognition of the human interferon alpha cell receptor and for triggering biological effects. (1987)

Bovine interferon alpha C (IFN-alpha C) manifest at least 10(5)-fold lower antiviral activity on human cells than on bovine cells (Velan, B., Cohen, S., Grosfeld, H., Leitner, M., and Shafferman, A. (1985) J. Biol. Chem. 260, 5498-5504). By oligonucleotide site-directed mutagenesis within the coding region for the NH2-terminal 44-residue domain of BoIFN-alpha C, we replaced up to 18 residues by the corresponding HuIFN-alpha J1 residues. (HuIFN-alpha J1 is less than 60% homologous in sequence to BoIFN-alpha C.) The nine different bovine-human-IFN alpha hybrids obtained were compared to BoIFN-alpha C and HuIFN-alpha J1 with respect to their potential to induce an antiviral state, synthesis of 2-5A-synthetase, and their specific binding to human and bovine cells. Relative to BoIFN-alpha C, a gradual increase in biological activities (antiviral or 2-5A-synthetase) of approximately 10-, 10(2)-, 10(3)-, and approximately 10(4)-fold is obtained, depending on the number and positions of the residues substituted. A direct correlation exists between biological response and ability of IFN alpha to bind specifically to human cells. A BoIFN alpha molecule mutated in the 10-44 NH2-terminal domain was obtained which is 15, 8, and 35% as active as HuIFN-alpha J1 on human cells in specific binding, induction of antiviral, and 2-5A-synthetase activities, respectively. We concluded that at least 5 of the 12 residues at positions 10; 21, 22, 24; 27; 31, 34, 35, 37, 40; 42, 43 in the 10-44 NH2-terminal domain are critical for recognition of the human IFN-alpha cell receptor and for biological activity. These residues are found among 10 strictly conserved residues in all reported mammalian IFN alpha S, and they act in a cooperative manner to induce a biological response in human cells. The gap between the extent of improvement in binding capacity of the BoIFN alpha mutants on human cells and the corresponding biological response suggests that the primary signal of binding to the cell receptor is amplified within the cell. On bovine cells, HuIFN-alpha J1 and BoIFN-alpha C also compete for the same receptor, and it seems that at least part of the 10-44 NH2-terminal domain on IFN alpha is also involved in interaction with the bovine IFN alpha cell receptor.
Regulation of Drosophila Hypoxia-inducible Factor (HIF) Activity in SL2 Cells (2004)

Although hypoxia-inducible factor-alpha (HIFalpha) subunit-specific hydroxylation and proteolytic breakdown explain the binary switch between the presence (hypoxia) and absence (normoxia) of HIFs, little is known of the mechanisms that fine-tune HIF activity under constant, rather than changing, oxygen tensions. Here, we report that the Drosophila HIFalpha homolog, the basic helix-loop-helix/PAS protein Sima (Similar), in hypoxic cultures of SL2 cells is expressed in full-length (fl) and splice variant (sv) isoforms. The following evidence supports the role of flSima as functional HIFalpha and the role of SL2 HIF as a transcriptional activator or suppressor. The pO(2) dependence of Sima abundance matched that of HIF activity. HIF-dependent changes in candidate target gene expression were detected through variously effective stimuli: hypoxia (strong) > iron chelation, e.g. desferrioxamine (moderate) >> transition metals, e.g. cobalt approximately normoxia (ineffective). Sima overexpression augmented hypoxic induction or suppression of different targets. In addition to the full-length exon 1-12 transcript yielding the 1510-amino acid HIFalpha homolog, the sima gene also expressed, specifically under hypoxia, an exon 1-7/12 splice variant, which translated into a 426-amino acid Sima truncation termed svSima. svSima contains basic helix-loop-helix and PAS sequences identical to those of flSima, but, because of deletion of exons 8-11, lacks the oxygen-dependent degradation domain and nuclear localization signals. Overexpressed svSima failed to transactivate reporter genes. However, it attenuated HIF (Sima.Tango)-stimulated reporter expression in a dose-dependent manner. Thus, svSima has the potential to regulate Drosophila HIF function under steady and hypoxic pO(2) by creating a cytosolic sink for the Sima partner protein Tango.
Standortspezifische Aspekte der Umstrukturierung landwirtschaftlicher Unternehmen in den neuen Bundesländern beim Übergang in die Marktwirtschaft (1993)

Farm Management
282. A scFv-Based CAR To Redirect T Cells To IL13Ra2-Positive Glioma (2015)

BACKGROUND: Glioblastoma (GBM) is the most aggressive primary brain tumor in humans, and is virtually incurable with conventional therapies. Immunotherapy with T cells expressing chimeric antigen receptors (CARs) is an attractive approach to improve outcomes. IL13Ra2 is aberrantly expressed in GBM therefore it is a promising target for CAR T-cell immunotherapy. The antigen recognition domain of CARs normally consists of a single chain variable fragment (scFv), however current IL13Ra2-specific CARs use IL13 muteins as an antigen recognition domain. We have previously shown that IL13 mutein-based CARs also recognize IL13Ra1, raising significant safety concerns. To overcome this obstacle we have recently generated a high affinity IL13Ra2-specific scFv. The goal of this project is now to develop a scFv-based IL13Ra2-specific CAR (IL13Ra2-CAR) and evaluate the effector function of IL13Ra2-CAR T cells. METHODS: We constructed a panel of IL13Ra2-CARs that contain our new IL13Ra2-specific scFv (m47) as an ectodomain, a short hinge (SH) or long hinge (LH), a CD28 transmembrane domain, and endodomains that contain signaling domains derived from CD3ζ and co-stimulatory molecules (CD28.ζ, CD137.ζ, CD28.CD137.ζ, CD28.CD134.ζ). IL13Ra2-CAR T cells were generated by retroviral transduction, and we determined their effector function in vitro, in co-culture and cytotoxicity assays, and in vivo, in the U373 brain xenograft model. RESULTS: Expression of all CARs in T cells was similar as judged by Western blot analysis. However, cell surface expression varied depending on used hinge and endodomain. In cytotoxicity assays, T cells expressing the different IL13Ra2-CARs only killed target cells expressing IL13Ra2, but not IL13Ra1 thus confirming the specificity of receptor-CAR interaction. While all IL13Ra2-CAR T cells secreted significant levels of IFNγ in co-culture assays with the IL13Ra2+ glioma cell line U373, only short hinge CAR T cells secreted significant amounts of IL2. T cells expressing IL13Ra2-CARs with a deleted endodomain (IL13Ra2.Δ-CAR) secreted no cytokines confirming that cytokine production depends on the presence of a functional IL 13Ra2-CAR. In vivo, injection of IL13Ra2.SH.CD28.ζ-CAR T cells into U373-bearing mice resulted in regression of gliomas as judged by bioluminescence imaging. IL13Ra2.LH.CD28.ζ- or IL13Ra2.Δ-CAR T cells had no antitumor effects. CONCLUSION: For the first time we have generated a CAR that only recognizes IL13Ra2 and not IL13Ra1. Comparison of several IL13Ra2-CARs revealed so far that a CAR with a SH and a CD28.ζ endodomain results in optimal T-cell activation as judged by IL2 production and in vivo anti-glioma activity. Our results warrant further active exploration of IL13Ra2-specific scFv-based CAR T cells for the adoptive immunotherapy of high grade glioma.
Soft Labels for Ordinal Regression (2019)

Ordinal regression attempts to solve classification problems in which categories are not independent, but rather follow a natural order. It is crucial to classify each class correctly while learning adequate interclass ordinal relationships. We present a simple and effective method that constrains these relationships among categories by seamlessly incorporating metric penalties into ground truth label representations. This encoding allows deep neural networks to automatically learn intraclass and interclass relationships without any explicit modification of the network architecture. Our method converts data labels into soft probability distributions that pair well with common categorical loss functions such as cross-entropy. We show that this approach is effective by using off-the-shelf classification and segmentation networks in four wildly different scenarios: image quality ranking, age estimation, horizon line regression, and monocular depth estimation. We demonstrate that our general-purpose method is very competitive with respect to specialized approaches, and adapts well to a variety of different network architectures and metrics.
Automated Image Alignment for Comparing Microvascular Changes Detected by Fluorescein Angiography and Optical Coherence Tomography Angiography in Diabetic Retinopathy (2021)

OCTA is a non-invasive tool capable of resolving the retinal vasculature in greater detail when compared with FA but detects significantly fewer MAs. Automatic alignment facilitates quantitative comparison of the microvascular features in DR.
Broad wavelength tuning under single-mode oscillation with a multi-electrode distributed feedback laser (1986)

Broad wavelength tuning under single-mode oscillation is achieved for a 1.5 μm range multi-electrode distributed feedback laser. The lasing wavelength can be tuned electrically, maintaining a stable single-mode oscillation without mode jumping. The tuning has reached over 20 Å under a noticeable condition of constant power (5mW), with a sufficient side-mode suppression ratio over 30 dB.
Efficient microwave to optical photon conversion: an electro-optical realization (2016)

Linking classical microwave electrical circuits to the optical telecommunication band is at the core of modern communication. Future quantum information networks will require coherent microwave-to-optical conversion to link electronic quantum processors and memories via low-loss optical telecommunication networks. Efficient conversion can be achieved with electro-optical modulators operating at the single microwave photon level. In the standard electro-optic modulation scheme, this is impossible because both up- and down-converted sidebands are necessarily present. Here, we demonstrate true single-sideband up- or down-conversion in a triply resonant whispering gallery mode resonator by explicitly addressing modes with asymmetric free spectral range. Compared to previous experiments, we show a 3 orders of magnitude improvement of the electro-optical conversion efficiency, reaching 0.1% photon number conversion for a 10 GHz microwave tone at 0.42 mW of optical pump power. The presented scheme is fully compatible with existing superconducting 3D circuit quantum electrodynamics technology and can be used for nonclassical state conversion and communication. Our conversion bandwidth is larger than 1 MHz and is not fundamentally limited.
A transportronic solution to the problem of interorbital transportation (1992)

An all-electronic transportation system described by the term 'transportronics' is examined as a means of solving the current problem of the high cost of transporting material from low-Earth orbit (LEO) to geostationary orbit (GEO). In this transportation system, low cost electric energy at the surface of the Earth is efficiently converted into microwave power which is then efficiently formed into a narrow beam which is kept incident upon the orbital transfer vehicles (OTV's) by electronic tracking. The incident beam is efficiently captured and converted into DC power by a device which has a very high ratio of DC power output to its mass. Because the mass of the electric thruster is also low, the resulting acceleration is unprecedented for electric-propelled vehicles. However, the performance of the system in terms of transit times from LEO to GEO is penalized by the short time of contact between the beam and the vehicle in low-Earth orbits. This makes it necessary to place the Earth based transmitters and the vehicles in the equatorial plane thus introducing many geopolitical factors. Technically, however, such a system as described in the report may out-perform any other approach to transportation in the LEO to GEO regime. The report describes and analyzes all portions of the beamed microwave power transmission system in considerable detail. An economic analysis of the operating and capital costs is made with the aid of a reference system capable of placing about 130,000 kilograms of payload into GEO each year. More mature states of the system are then examined, to a level in which 60,000 metric tons per year could be placed into GEO.
Natural History, Treatment, and Course of Papillary Thyroid Carcinoma* (1990)

We have analyzed the course of papillary thyroid carcinoma in 269 patients managed at the University of Chicago, with an average follow-up period of 12 yr from the time of diagnosis. Patients were categorized by clinical class; I, with intrathyroidal disease; II, with cervical nodal metastases; III, with extrathyroidal invasion; and IV, with distant metastases. Half of the patients had a history of thyroid enlargement known, on the average, for over 3 yr. In 15% of patients given thyroid hormone, the mass decreased in size. The peak incidence of cancer was when subjects were between 20-40 yr of age. Tumors averaged 2.4 cm in size; 21.6% had tumor capsule invasion, and 46% of patients had multifocal tumors. Sixty-six percent of the patients had near-total or total thyroidectomy. The overall incidence of postoperative hypoparathyroidism was 8.4%, but the incidence was zero in 83 near-total or total thyroidectomies carried out by 1 surgeon. Twenty-five percent of the patients had continuing or recurrent disease, and 8.2% died from cancer. Deaths occurred largely in patients with class III or IV disease. Cervical lymph nodes were associated with increased recurrences, but not increased deaths. Extrathyroidal invasion carried an increased risk of 5.8-fold for death, and distant metastases increased this risk 47-fold. Age over 45 yr at diagnosis increased the risk of death 32-fold. Tumor size over 3 cm increased the risk of death 5.8-fold. Surgical treatment combining lobectomy plus at least contralateral subtotal thyroidectomy was associated, by Cox proportional hazard analysis, with decreased risk of death in patients with tumors larger than 1 cm and decreased risk of recurrence among all patients, including patients in classes I and II, compared to patients who underwent unilateral thyroid surgery or bilateral subtotal resections. By chi 2 analysis, 131I ablation of residual thyroid tissue after operation was associated with decreased risk of recurrence in tumors larger than 1 cm and decreased risk of death in patients in classes I and II with tumors more than 1 cm in size. The data strongly support the use of more extensive initial surgery in class I and II patients with tumors more than 1 cm in size as well as postoperative radioactive 131I ablation of thyroid remnant tissue.
<i>LSI</i>- a computer program for simultaneous refinement of material structure and microstructure (1992)

A computer program has been written to introduce profile analysis into the Rietveld method. The devised algorithm simultaneously refines both structural and microstructural parameters, also accounting for anisotropy in crystallite size and microstrain. Instead of using phenomenological relations to describe the trend of profile width and shape as a function of diffraction angle, a model based on the Warren–Averbach approach has been developed that permits extraction of more information from data, also achieving faster convergence.
Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms (2019)

Extracting information from tables in documents presents a significant challenge in many industries and in academic research. Existing methods which take a bottom-up approach of integrating lines into cells and rows or columns neglect the available prior information relating to table structure. Our proposed method takes a top-down approach, first using a generative adversarial network to map a table image into a standardised `skeleton' table form denoting the approximate row and column borders without table content, then fitting renderings of candidate latent table structures to the skeleton structure using a distance measure optimised by a genetic algorithm.
Temperature compensation of combline resonators and filters (2003)

Rigorous mode matching method, incorporating perturbation techniques was introduced to the modeling, analysis and design of the resonant frequency-temperature characteristic of the combline resonator. Methods for temperature compensation of the resonator are accurately modeled and implemented. The accuracy of the modeling results is verified by comparing with the measured results and shown to be in good agreement.
A general framework for efficient clustering of large datasets based on activity detection (2010)

Abstract Data clustering is one of the most popular data mining techniques with broad applications. K‐Means is one of the most popular clustering algorithms, due to its high efficiency/effectiveness and wide implementation in many commercial/noncommercial softwares. Performing efficient clustering on large dataset is especially useful; however, conducting K‐Means clustering on large data suffers heavy computation burden which originates from the numerous distance calculations between the patterns and the centers. This paper proposes framework General Activity Detection (GAD) for fast clustering on large‐scale data based on center activity detection. Within this framework, we design a set of algorithms for different scenarios: (i) exact GAD algorithm, E‐GAD, which is much faster than K‐Means and gets the same clustering result; (ii) approximate GAD algorithms with different assumptions, which are faster than E‐GAD, while achieving different degrees of approximation; and (iii) GAD based algorithms to handle the large clusters problem which appears in many large‐scale clustering applications. The framework provides a general solution to exploit activity detection for fast clustering in both exact and approximate scenarios, and our proposed algorithms within the framework can achieve very high speed. We have conducted extensive experiments on several datasets from various real world applications, including data compression, image clustering, and bioinformatics. By measuring the clustering quality and CPU time, the experiment results show the effectiveness and high efficiency of our proposed algorithms. Copyright © 2010 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 4: 11–29 2011
Computational study of the gas flow through a critical nozzle (2003)

The critical nozzle is defined as a device to measure the mass flow with only the nozzle supply conditions making use of the flow choking phenomenon at the nozzle throat. The discharge coefficient and critical pressure ratio of the gas flow through the critical nozzle are strongly dependent on the Reynolds number, based on the diameter of the nozzle throat and nozzle supply conditions. Recently a critical nozzle with a small diameter has been extensively used to measure mass flow in a variety of industrial fields. For low Reynolds numbers, prediction of the discharge coefficient and critical pressure is very important since the viscous effects near walls significantly affect the mass flow through the critical nozzle, which is associated with working gas consumption and operation conditions of the critical nozzle. In the present study, computational work using the axisymmetric, compressible, Navier-Stokes equations is carried out to predict the discharge coefficient and critical pressure ratio of gas flow through the critical nozzle. In order to investigate the effect of the working gas and turbulence model on the discharge coefficient, several kinds of gases and several turbulence models are employed. The Reynolds number effects are investigated with several nozzles with different throat diameters. The diffuser angle is varied in order to investigate the effects on the discharge coefficient and critical pressure ratio. The computational results are compared with the previous experimental ones. It is known that the standard k-ε turbulence model with the standard wall function gives the best prediction of the discharge coefficient. The discharge coefficient and critical pressure ratio are given by functions of the Reynolds number and boundary layer integral properties. It is also found that the diffuser angle affects the critical pressure ratio.