gebhart/patrepeval huggingface dataset:
Preparation and characterization of highly L21-ordered full-Heusler alloy Co2FeAl0.5Si0.5 thin films for spintronics device applications (2008)

We report the investigation of structure and magnetic properties of full-Heusler alloy Co2FeAl0.5Si0.5 (CFAS) thin films grown on MgO-buffered MgO (001) substrates through magnetron sputtering. It was found that single-crystal CFAS thin films with high degree of L21 ordering and sufficiently flat surface could be obtained after postdeposition annealing. All the films show a distinct uniaxial magnetic anisotropy with the easy axis of magnetization along the in-plane [110] direction. These results indicate that the use of the MgO buffer for CFAS is a promising approach for achieving a higher tunnel magnetoresistance ratio, and thus for spintronics device applications.
Combined Treatment With Exercise Training and Acarbose Improves Metabolic Control and Cardiovascular Risk Factor Profile in Subjects With Mild Type 2 Diabetes (2006)

In subjects with mild type 2 diabetes, exercise training improved insulin sensitivity but had no effect on glycemic control. The addition of acarbose to exercise, however, was associated with significant improvement of glycemic control and possibly cardiovascular risk factors.
Copy of Monolithic Integration of Silicon Electronics and Photonics. (2016)

Abstract not provided.
A two‐domain model for the R domain of the cystic fibrosis transmembrane conductance regulator based on sequence similarities (1994)

CFTR belongs to a group of proteins sharing the structural motif of six transmembrane helices and a nucleotide binding domain. Unique to CFTR is the R domain, a charged cytoplasmic domain. Comparison of R domain sequences from ten species revealed that the N-terminal third is highly conserved, while the C-terminal two-thirds is poorly conserved. The R domain shows no strong sequence similarity to known proteins; however, 14 viral pol proteins show limited similarity to fragments of the R domain. Analysis revealed a relationship between the N- and C-terminal fragments of the R domain and two discontinuous fragments of the pol protein. These observations support a two-domain model for the R domain.
Nonclinical Models for Antituberculosis Drug Development: A Landscape Analysis (2015)

There is a need for formal quantitative analyses of how well DDTs forecast clinical outcomes.
Nanoparticulate Drug Delivery Systems (1993)

Nanoparticulate drug delivery systems / , Nanoparticulate drug delivery systems / , کتابخانه دیجیتال جندی شاپور اهواز
Full-Swing a-IGZO Inverter With a Depletion Load Using Negative Bias Instability Under Light Illumination (2012)

A high-performance amorphous indium-gallium-zinc-oxide thin-film transistor (TFT) inverter, which is composed of an enhancement mode driver and a depletion mode load, is implemented by selectively inducing the negative bias illumination temperature stress (NBITS) to the load TFT. Under NBITS, the transfer curve of the load TFT shows a parallel shift into the negative bias direction without a significant change in the subthreshold slope and recovers very slowly after terminating the NBITS even under harsh bias and temperature stress conditions. The proposed inverter shows much improved switching characteristics including higher voltage gain, wider swing range, and higher noise margins compared to the conventional inverter with an enhancement load.
Face Template Protection Using Deep Convolutional Neural Network (2018)

The growing use of biometrics has led to rising concerns about the security and privacy of the biometric data (template) since it is unique to each individual and cannot be replaced. To address this problem, many biometric template protection algorithms have been reported but most have a trade-off between matching performance and template security. In this work, we propose a method for face template protection, which improves upon existing face template protection algorithm, to provide better matching performance. The proposed method uses deep Convolutional Neural Network (CNN), with one-shot and multi-shot enrollment, to learn a robust mapping from face images of the users to the unique binary codes (assigned to the users during enrollment phase). The cryptographic hash (like SHA-3 512) of the user's binary code represents the protected face template. The deep CNN is trained to minimize the intra-class variations and maximize the inter-class variations. During verification, given an input face image of a user, deep CNN predicts the binary code assigned to the user. The hash of the predicted binary code is matched with the hash of the actual binary code assigned to the user during enrollment. Three face datasets, namely CMU-PIE, FEI and Color FERET are used for evaluation. The proposed method improves the matching performance by ~6% and reduces Equal Error Rate by about 4 times when compared to related work, while providing high template security.
High Performance Liquid Chromatography Assay for Piroxicam in Pharmaceutical Products (1987)

A high performance liquid chromatographic assay for piroxicam in pharmaceutical preparations is described. The method uses a reversed-phase C18 column with pH 3 aqueous buffer/methanol, 55:45, v/v mobile phase, and is selective for piroxicam in the presence of other "oxicams," synthetic precursors, by-products, degradation products, metabolites, and related compounds. Applications to capsules, tablets, ointments, suppositories, ophthalmic suspensions, and rodent feeds are cited.
Fiber-optic epoxy composite cure sensor II Performance characteristics (1995)

The performance of a fiber-optic epoxy composite cure sensor, as previously proposed, depends on the optical properties and the reaction kinetics of the epoxy. The reaction kinetics of a typical epoxy system are presented. It is a third-order autocatalytic reaction with a peak observed in each isothermal reaction-rate curve. A model is derived to describe the performance characteristics of the epoxy cure sensor. If a composite coupon is cured at an isothermal temperature, the sensor signal can be used to predict the time when the gel point occurs and to monitor the cure process. The sensor is also shown to perform well in nonstoichiometric epoxy matrices. In addition the sensor can detect the end of the cure without calibration.
Electron-phonon drag enhancement of transport properties from a fully coupled ab initio Boltzmann formalism (2020)

We present a combined treatment of the nonequilibrium dynamics and transport of electrons and phonons by carrying out ab initio calculations of the fully coupled electron and phonon Boltzmann transport equations. We find that the presence of mutual drag between the two carriers causes the thermopower to be enhanced and dominated by the transport of phonons, rather than electrons as in the traditional semiconductor picture. Drag also strongly boosts the intrinsic electron mobility, thermal conductivity and the Lorenz number. Impurity scattering is seen to suppress the drag enhancement of the thermal and electrical conductivities, while having weak effects on the enhancement of the Lorenz number and thermopower. We demonstrate these effects in n-doped 3C-SiC at room temperature, and explain their origins. This work establishes the roles of microscopic scattering mechanisms in the emergence of strong drag effects in the transport of the interacting electron-phonon gas.
A Novel Flvonol Glucoside from Onion (2002)

A new flavonol glucoside was isolated from the outer bulb of onions (Allium cepa).The structure was determined by the analysis of spectral data.Onion (Allium cepa) is well known as a rich source of flavonoid.Hirose et al. have been isolated oxidative quercetin derivatives along with quercetin from outer scale of onions. 1 These compounds structurally very interested.For the purpose of utilization of onion and the isolated compounds, we have studied the constituents of A. cepa, from which we isolated a flavonol glucoside (1) having an oxidative quercetin derivative as aglycone.The MeOH extract of outer scales of onion was repeatedly purified by Silica gel and LH-20 column chromatography to give a new flavonol glucoside along with three known compounds (2, quercetin and quercetin 4'-O-glucoside).Compound (1) was isolated as a yellow amorphous solid, and gave positive reactions to the FeCl 3 and Gibbs tests on TLC.In the negative ion FABMS spectrum, the [M-H] -was observed at m/z 763.1143 which correspond to C 36 H 27 O 19 .The UV spectrum
Thermodynamic and Kinetic Investigation of Water Absorption by PAM Composite Hydrogel (2019)

Abstract In this study, we report the thermodynamics and kinetic parameters for the water absorption by thermo-elastic and self-healing polyacrylamide-commercial graphene (PAM-CG) composite hydrogels. The fundamental studies for such self-healing hydrogels would give us useful insights towards the material design for a specific application. The PAM-CG composite hydrogels were prepared by a two-step method consisting of the synthesis of PAM-CG polymer via inverse emulsion polymerization followed by the preparation of PAM-CG hydrogel by in-situ mixing. The thermal and rheological properties of the composite hydrogels were examined by using thermogravimetric analyzer (TGA), and differential scanning calorimetry (DSC). In addition, the swelling kinetics of the prepared hydrogels were studied as a function of temperature. From the obtained kinetic curves, the hydrogel can absorb water upto 16,000% at 25°C and reaches the saturation in 30 h. Meanwhile, the increase in temperature of the system would result in an overall decrease in the water uptake for the hydrogel. The experimental kinetic data were found to fit in pseudo second-order kinetic model. The calculated free energy (∆G) values are negative and hence the water absorption by the composite hydrogels is spontaneous. The positive enthalpy (∆H) values are indicative of exothermic behavior. The negative entropy (∆S) (i.e. decrease in degree of freedom), values are in line with absorption phenomenon of water molecules by the composite hydrogels. In addition, the PAM-CG hydrogels exhibit excellent recyclability upto eight consecutive cycles.
Bacterial Protein Toxins (2003)

Table of Contents I. Genetics and Regulation Two Component Systems, Scott Stibitz Regulation of Bacterial Toxin Synthesis by Iron, Shelley M. Payne AraC Family Regulators and Transcriptional Control of Bacterial Virulence Determinants, Dara W. Frank and Meredith L. Hunt Quorum Sensing, Everett C. Pesci and Barbara H. Iglewski II. Toxin Biogenesis: Crossing Bacterial Membrane Barriers Box 1: Type V Export Systems, Proteins That Export Themselves, Drusilla L. Burns The Type I Export Mechanism, Vassilis Koronakis, Jeyanthy Eswaran, and Colin Hughes Toxins and Type II Secretion Systems, Maria E. Scott and Maria Sandkvist Type III Secretion Systems, Gregory V. Plano, Kurt Schesser, and Matthew L. Niles Box 2: Pathogenicity Islands, Jorg Hacker Type IV Secretion Systems, Drusilla L. Burns III. Toxin Delivery Into Eukaryotic Cells Receptors for Bacterial Toxins, Catharine B. Saelinger Box 3: Domain Structures of Bacterial Toxins, Stephen H. Leppla Box 4: Recombinant Immunotoxins, David J. FitzGerald, Robert J. Kreitman, and Ira Pastan Direct Penetration of Bacterial Toxins Across the Plasma Membrane, Franca R. Zaretzky, Mary C. Gray, and Erik L. Hewlett Transport of Toxins Across Intracellular Membranes, Kirsten Sandvig Transcytosis of Bacterial Toxins Across Mucosal Barriers, Bonny L. Dickinson and Wayne I. Lencer Box 5: Lipid Rafts, Bonny L. Dickinson and Wayne I. Lencer IV. Toxin Action Membrane-Damaging Toxins: Pore Formation, F. Gisou van der Goot Box 6: The Vacuolating Toxin VacA of Helicobacter pylori, F. Gisou van der Goot Membrane-Damaging Toxins: Family of RTX Toxins, Camilla Oxhamre and Agneta Richter-Dahlfors Bacterial Toxins that Covalently Modify Eukaryotic Proteins by ADP-Ribosylation, Joseph T. Barbieri and Drusilla L. Burns Box 7: Discovery that the Active Sites of Pseudomonas aeruginosa Exotoxin A and the Heat-Labile Enterotoxin of Escherichia coli Are Superimposable, Wim Hol Glucosylating and Deamidating Bacterial Protein Toxins, Klaus Aktories Plant and Bacterial Toxins as RNA N-Glycosidases, Angela Melton-Celsa and Alison D. O'Brien Cytolethal Distending Toxin, Lawrence A. Dreyfus Proteases, Ornella Rossetto, Fiorella Tonella, and Cesare Montecucco Box 8: Landmarks in Tetanus and Botulinum Research, Ornella Rossetto, Fiorella Tonella, and Cesare Montecucco Bacterial Toxins that Modulate Rho GTPase Activity, James B. Bliska and Gloria I. Viboud Staphylococcal and Streptococcal Superantigens, Patrick M. Schlievert V. Bacterial Toxins: Friends and Foes Toxins as Vaccines and Adjuvants, Mariagrazia Pizza, Vega Masignani, and Rino Rappuoli Nefarious Uses of Bacterial Toxins, Drusilla L. Burns and Joseph T. Barbieri
On-chip CO2 sensor integrated with MEMS emitter and pyroelectric detector (2023)

A demonstration of an on-chip CO<sub>2</sub> gas sensor is reported. It is constructed by the integration of a MEMS-based thermal emitter, a scandium-doped aluminum nitride (ScAlN) based pyroelectric detector, and a sensing channel built on Si substrate. The integrated sensor has a small footprint of 13mm × 3mm (L×W), achieved by the replacement of bulky bench-top mid-IR source and detectors with MEMS-based thermal emitter and ScAlN-based pyroelectric detector, with their footprints occupying 3.15 mm × 3 mm and 3.45 mm × 3 mm, respectively. In addition, the performance of the integrated sensor in detecting CO<sub>2</sub> of various concentrations in N<sub>2</sub> ambient is also studied. The results indicate that the pyroelectric detector responds linearly to the CO<sub>2</sub> concentration. The integration of MEMS emitter, thermal pathway substrate, and pyroelectric detector, realized through CMOS compatible process, shows the potential for massdeployment of gas sensors in environmental sensing networks.
Automatic Well Log Analysis Across Priobskoe Field Using Machine Learning Methods (2018)

Abstract This paper is devoted to the testing of of automatic well logs interpretation testing, developed on the basis of machine learning methods. The basis of the method presented in the paper is recurrent artificial neural networks. For their training and adjustment, log curves and their corresponding interpretation of different years are used. The set of well data is divided into training, validation and test samples. The resulting tool is set up on training and validation samples, and then used on a test sample of wells for which the interpretatoin was hidden, in order to automatically predict net pays and compare the results with the interpretation performed by an expert petrophysicist. For the test sample, traditional machine learning metrics metrics and special geological were calculated to assess the quality of the algorithm. During the work a number of experiments were carried out, in which the dependence of the forecast quality was estimated not only on the different architecture and settings of the artificial neural network, but also on the amount of input data. The iterative approach in the research allowed to determine the best parameters for the solution of the task. For each well of the test set, a forecast of reservoir intervals distribution is made. The resulting interpretation shows high accuracy, both in terms of different mathematical metrics, and the results of analysis and evaluation of the expert petrophysics. Also, during the experiments, an important conclusion was made about the generalizing ability of the proposed methodology. The use of several variants of interpretation of well log data, performed by different specialists at different times and on the basis of different petrophysical models, allows to generalize and use all the accumulated experience of well logs interpretation, thereby improving the quality of the forecast. The main conclusion of the study can be considered a statement about the efficient applicability of machine learning algorithms for automatic well logs interpretation.
Perinatal anoxia degrades auditory system function in rats (2005)

Little is known about the neural bases of the reduced auditory and cortical processing speeds that have been recorded in language-impaired, autistic, schizophrenic, and other disabled human populations. Although there is strong evidence for genetic contributions to etiologies, epigenetic factors such as perinatal anoxia (PA) have been argued to be contributors, or causal, in a significant proportion of cases. In this article, we explored the consequences of PA on this elementary aspect of auditory behavior and on auditory system function in rats that were briefly perinatally anoxic. PA rats had increased acoustic thresholds and reduced processing efficiencies recorded in an auditory behavioral task. These rats had modestly increased interpeak intervals in their auditory brainstem responses, and substantially longer latencies in poststimulus time histogram responses recorded in the primary auditory cortex. The latter were associated with degraded primary auditory cortex receptive fields and a disrupted tonotopy. These processing deficits are consistent with the parallel behavioral and physiological deficits recorded in children and adults with a history of language-learning impairment and autism.
Highly Efficient Electron-transporting Phenanthroline Derivatives for Electroluminescent Devices (2007)

Abstract A series of phenanthroline derivatives containing quinoxaline moieties were synthesized, and their electron-transporting properties were investigated by using N,N′-di(1-naphthyl)-N,N′-diphenyl-(1,1′-biphenyl)-4,4′-diamine (α-NPD) and tris(8-hydroxyquinolato)aluminum (Alq3) as the hole-transporting material and the emitting layer, respectively. Higher external quantum efficiency for the phenanthroline derivative than Alq3 in the electroluminescent devices at a luminance of 100 cd/m2 was obtained.
Molecular Weight Measurement of UG8 Asphaltene Using APCI Mass Spectroscopy (2004)

Abstract Asphaltene molecular weight has been a controversial issue in the past several decades and continues on nowadays. From industrial application point of view, asphaltene molecular weight is important for setting up a heavy oil refining strategy so that the process is efficient and economically viable. If the measured average molecular weight of asphaltene is high and is the true molecular weight, then substantial amount of energy will be needed, in order to break the molecule into light products during refining process. This is likely not an economical option. On the other, if the measured high molecular weight is due to self-association and the true molecular weight is low (e.g., less than 1500 Da), it will be energetically attractive to refiners to develop heavy oil cracking technology. Vapor pressure osmometry (VPO) has been routinely used for measuring molecular weight. However, it measures the apparent molecular weight and is likely not the true molecular weight. In order to unambiguously measure the molecular weight, it is necessary to develop a convincing technology and a reliable experimental procedure that allows one to measure the molecular weight accurately and consistently. We chose the Atmospheric Pressure Chemical Ionization (APCI) technique and Atmospheric Pressure Photo Ionization (APPI) to measure UG8 asphaltene. Both APCI and APPI have mild ionization processes and have been applied to many unstable drug compounds such as proteins and peptides with reliable outcomes. In addition, we measured the sample on two APPI instruments to compare the results. We also demonstrated how one can choose wrong set of operating parameters and lead to erroneous results. The relevant parameters for APCI and APPI are temperature, voltage, and sample concentration. We chose 0.01 mg/mL as the concentration, much below any known critical aggregation concentration. As for temperature and ionization voltage, we varied systematically varied (T = 300–600°C; V = 30–150 V) in order to demonstrate the consistency of the methods and how one can easily make mistake. Through these measurements, an average molecular weight of 400 to 900 Da was obtained for UG8 asphaltene. Keywords: AsphalteneMass spectroscopyAPCIMolecular weight
Phosphorylation of the Yeast Rpb1 C-terminal Domain at Serines 2, 5, and 7 (2009)

The C-terminal domain (CTD) of Rpb1, the largest subunit of RNA polymerase II, acts as a binding platform for various mRNA processing and histone-modifying enzymes that act co-transcriptionally. These factors are targeted to specific phosphorylation states of the CTD that predominate at different stages of transcription. Within the repeating sequence YSPTSPS, serines 2 and 5 are major phosphorylation sites, but serine 7 phosphorylation was recently discovered in mammalian cells. Here we show that CTD serine 7 is also phosphorylated in yeast and that Ser-7(P) chromatin immunoprecipitation patterns resemble those of Ser-5(P). The basal factor TFIIH can phosphorylate Ser-7 in vitro and is necessary for Ser-7(P) in vivo. Interestingly, deletion of the CTD Ser-5(P) phosphatase Rtr1 leads to an increase in Ser-5(P) but not Ser-7(P).
ER stress protein GRP78 as a therapeutic target combined with antiangiogenic therapy in renal cell carcinoma. (2013)

428 Background: Antiangiogenic therapy deprives oxygen and nutrition from the tumor. These stresses cause unfolded proteins in tumor cells. Glucose regulated protein 78 (GRP78) binds to unfolded proteins and its subsequent activation suppresses global mRNA translation to protect cells from excessive unfolded proteins. We investigated a potential role of GRP78 as a combined therapeutic target in renal cell carcinoma treated with antiangiogenic therapy. Methods: Renal cell carcinoma cells (Caki-1, Caki-2, UMRC-3, and UMRC-6) were used to investigate the effect of GRP78 knockdown, which was performed by small interfering RNA. Caki-1 xenografts were developed and treated with sunitinib 40mg/kg/day to evaluate in vivo expression of GRP78 during antiangiogenic therapy. Caki-1 cells stably overexpressing GRP78 were developed to investigate the role of GRP78 in cancer cell. Hypoxic stress was induced by 1% hypoxia chamber and hypoglycaemic stress was induced by glucose-free media. Downstream signalling pathways of GRP78 were evaluated by Western blots. Results: In vitro hypoxia and/or glucose deprivation induced GRP78 upregulation in Caki-1 cells. GRP78 was also induced in Caki-1 xenografts treated by sunitinib. Overexpression of GRP78 increased tumor proliferation in hypoxic and/or hypoglycemic stresses by activating PERK/eIF2α pathway and protected tumor cells from stress-induced apoptosis. Knockdown of GRP78 using small interference RNA inhibited cancer cell survival and induced apoptosis in renal cell carcinoma cells in vitro. GRP78 knockdown also sensitized renal cell carcinoma cells to ER stress-induced apoptosis and hypoxic and hypoplycemic stress-induces apoptosis. Conclusions: Antiangiogenic therapy induces ER stress by depriving oxygen and glucose from renal cell carcinoma. ER protein GRP78 has a critical role in protecting renal cell carcinoma cells from hypoxic and hypoglycemic stress induced by antiangiogenic therapy. Knockdown of GRP78 sensitizes RCC cells to apoptotic cell death from anti-angiogenic stresses. Our results suggest that GRP78 is a novel therapeutic target in renal cell carcinoma management.
A Second Generation Photochemically Activatable Dynemicin Analog: A Concise Synthesis and DNA Cleavage Studies (1994)

A scheme for the design of dynemicin analogs and a concise, efficient route for their synthesis are described. A photochemically activatable analog was prepared and shown to undergo cycloaromatization upon irradiation with wavelengths greater than 300 nm. The ability of this compound to function as a competent DNA cleaving agent is demonstrated.