gebhart/patrepeval huggingface dataset:
Family Coronaviridae (2017)

Members of the family Coronaviridae are large, enveloped, single-stranded RNA viruses. They are the largest known RNA viruses, with genomes ranging from 25 to 32 kb and virions of 118–140 nm in diameter. The family is divided into two subfamilies, the Coronavirinae and the Torovirinae. They can be distinguished on the basis of their nucleocapsids as the toroviruses have unique doughnut-shaped nucleocapsids. Virions are roughly spherical and are notable for the large spike (S) glycoprotein that extends from the virus envelope. Current taxonomy places the family in the order Nidovirales. Within the subfamily Coronavirinae are four genera, the alpha-, beta-, gamma-, and deltacoronaviruses. All family members share the same unique strategy for mRNA synthesis whereby the polymerase complex jumps or moves from one region of the template to a more distant region. The need for the polymerase complex to dissociate from the template may explain the high rate of RNA recombination that occurs during genome replication. Both the coronaviruses and toroviruses are enteric and respiratory tract pathogens, usually associated with only mild disease (or inapparent infection). However the human severe acute respiratory syndrome (SARS) coronavirus and the Middle East respiratory syndrome (MERS) coronavirus cause severe respiratory diseases.
Phase III Study of Efaproxiral As an Adjunct to Whole-Brain Radiation Therapy for Brain Metastases (2005)

The addition of efaproxiral, a noncytotoxic radiation sensitizer, to WBRT may improve response rates and survival in patients with brain metastases, particularly metastases from breast cancer. A confirmatory trial for breast cancer patients has been initiated.
REGULATORY GENES CONTROLLING MITOSIS IN THE FISSION YEAST <i>SCHIZOSACCHAROMYCES POMBE</i> (1980)

Fifty-two wee mutants that undergo mitosis and cell division at a reduced size compared with wild type have been genetically analyzed. The mutants define two genes, wee1 and cdc2, which control the timing of mitosis. Fifty-one of the mutants map at the wee1 locus, which is unlinked to any known cdc gene. One of the wee1 alleles has been shown to be nonsense suppressible. The 52nd were mutant maps within cdc2. Previously, only temperature-sensitive mutants that become blocked at mitosis have been found at the cdc2 locus. The simplest interpretation of these observations is that wee1+ codes for a negative element or inhibitor, and cdc2+ codes for a positive element or activator in the mitotic control. The gene dosage of wee1+ plays some role in determining the timing of mitosis, but the gene dosage of cdc2+ has little effect. However, some aspect of the cdc2 gene product activity is important for determining when mitosis takes place. The possible roles of wee1 and cdc2 in the mitotic control are discussed, with particular reference to the part they may play in the monitoring of cell growth rate, both of which influence the timing of mitosis.
Improved Procedure for the Selective N-Debenzylation of Benzylamines by Diisopropyl Azodicarboxylate (2004)

The selective deprotection of N-benzyl group was achieved in the presence of azido, O-benzyl, and N-tosyl groups in reactions of benzylamines derived from 1,6-anhydro-β-d-glucopyranose with diisopropyl azodicarboxylate (DIAD) in THF. The key role of this solvent and the reaction pathway are presented together with proven reaction intermediates.
An updated overview of e-cigarette impact on human health (2021)

The electronic cigarette (e-cigarette), for many considered as a safe alternative to conventional cigarettes, has revolutionised the tobacco industry in the last decades. In e-cigarettes, tobacco combustion is replaced by e-liquid heating, leading some manufacturers to propose that e-cigarettes have less harmful respiratory effects than tobacco consumption. Other innovative features such as the adjustment of nicotine content and the choice of pleasant flavours have won over many users. Nevertheless, the safety of e-cigarette consumption and its potential as a smoking cessation method remain controversial due to limited evidence. Moreover, it has been reported that the heating process itself can lead to the formation of new decomposition compounds of questionable toxicity. Numerous in vivo and in vitro studies have been performed to better understand the impact of these new inhalable compounds on human health. Results of toxicological analyses suggest that e-cigarettes can be safer than conventional cigarettes, although harmful effects from short-term e-cigarette use have been described. Worryingly, the potential long-term effects of e-cigarette consumption have been scarcely investigated. In this review, we take stock of the main findings in this field and their consequences for human health including coronavirus disease 2019 (COVID-19).
Parallelization, optimization, and performance analysis of portfolio choice models (2001)

In this paper we show how applications in computational economics can take advantage of modern parallel architectures to reduce the computation time in a wide array of models that have been, to date, computationally intractable. The specific application we use computes the optimal consumption and portfolio choice policy rules over the life-cycle of the individual. Our goal is two-fold: (i) To understand the behavior of a class of emerging applications and provide an efficient parallel implementation and (ii) to introduce a new benchmark for parallel computer architectures from an emerging and important class of applications. We start from an existing sequential algorithm for solving a portfolio choice model. We present a number of optimizations that result in highly optimized sequential code. We then present a parallel version of the application. We find that: (i) Emerging applications in this area of computational economics exhibit adequate parallelism to achieve, after a number of optimization steps, almost linear speedup for system sizes up to 64 processors. (ii) The main challenges in dealing with applications in this area are computational imbalances introduced by algorithmic dependencies and the parallelization method and granularity. (iii) We present preliminary results for a problem that has not been, to the best of our knowledge, solved in the financial economics literature to date.
Self-renewing Monolayer of Primary Colonic or Rectal Epithelial Cells (2017)

This study demonstrates that a self-renewing 2-D murine and human monolayer derived from primary cells can serve as a physiologically relevant assay system for study of stem cell renewal and differentiation and for compound screening. The platform holds transformative potential for personalized and precision medicine and can be applied to emerging areas of disease modeling and microbiome studies.
Leflunomide protects mice from multiple low dose streptozotocin (MLD-SZ)-induced insulitis and diabetes (1999)

In certain animal models of autoimmunity the isoxasol derivative leflunomide has been reported to exert a protective effect against autodestruction. In the present study, the immunomodulatory potential of the main metabolite of leflunomide, A77 1726, in experimentally induced autoimmune diabetes was investigated. The disease was induced in genetically susceptible CBA/H mice by multiple low doses of streptozotocin (MLD-SZ, 40 mg/kg per day, given intraperitoneally for 5 consecutive days). Effects of leflunomide were evaluated by two treatment protocols: mice treated with MLD-SZ were injected intraperitoneally with A77 1726 for 10 consecutive days, either during the first 10 days of the disease (early treatment), or starting from day 10 after disease induction (late treatment). Disease manifestations defined by hyperglycaemia, mononuclear infiltration into pancreas, expression of interferon-gamma (IFN-gamma) and inducible nitric oxide synthase (iNOS) and destruction of the islets of Langerhans were reduced in a dose-dependent fashion after early treatment with A77 1726 (dose range of 5-35 mg/kg per day). Moreover, late treatment with the high dose of the drug (25 mg/kg per day), started when the autoimmune disease was already apparent, arrested progression of ongoing inflammatory response. Analysis of the effects of A77 1726 on the adhesive interactions of spleen-derived or peripheral blood-derived mononuclear cells from MLD-SZ-treated and normal mice demonstrated that the drug inhibits both ex vivo and in vitro spontaneous mononuclear cell aggregation, thus suggesting that an important component of leflunomide's immunomodulatory action is suppression of adhesive interactions. These results demonstrate both preventive and therapeutic effects of leflunomide in a model of MLD-SZ-induced diabetes and suggest that the drug may be considered a potent therapeutic tool for autoimmune inflammatory disorders, including diabetes.
Acoustic Waves in Boreholes (2023)

Introducing the first, self-contained reference on acoustic waveform loggingAcoustic measurements in boreholes were first made as a specialized logging technique in geological exploration, but recent advances have greatly expanded the potential applications of this technique. Acoustic Waves in Boreholes provides a thorough review of the theory and interpretation techniques needed to realize these applications, emphasizing the role of guided modes and critically refracted waves in determining the characteristics of recorded waveforms. Topics covered in this comprehensive volume include the seismic properties of rocks; propagation of axisymmetric waves along fluid-filled boreholes in isotropic rocks; and symmetric and nonsymmetric sources in isotropic, transversely isotropic, and porous, permeable formations in open and cased boreholes. Each chapter includes the theory of synthetic microseismogram computation, interpretation and data inversion techniques illustrated using computed seismograms, and case histories using experimental data. Appendices providing the mathematical formulation needed to compute microseismograms, with a single consistent notation used throughout, are also included in appropriate chapters.The wide range of geomechanical properties covered in this book will interest exploration geophysicists, reservoir engineers, civil engineers, geologists, and soil scientists.
A new regime for operating capacitive micromachined ultrasonic transducers (2003)

We report on a new operation regime for capacitive micromachined ultrasonic transducers (cMUTs). Traditionally, cMUTs are operated at a bias voltage lower than the collapse voltage of their membranes. In the new proposed operation regime, first the cMUT is biased past the collapse voltage. Second, the bias voltage applied to the collapsed membrane is reduced without releasing the membrane. Third, the cMUT is excited with an ac signal at the bias point, keeping the total applied voltage between the collapse and snapback voltages. In this operation regime, the center of the membrane is always in contact with the substrate. Our finite element methods (FEM) calculations reveal that a cMUT operating in this new regime, between collapse and snapback voltages, possesses a coupling efficiency (k(T)2) higher than a cMUT operating in the conventional regime below its collapse voltage. This paper compares the simulation results of the coupling efficiencies of cMUTs operating in conventional and new operation regimes.
A methodology for system-level fault injection based on gate-level faulty behavior (2013)

In this paper a methodology for creating a high-level faulty models library for simulating low-level fault injection is proposed. The concept of faulty behavior Signature is first proposed in this work. This paper demonstrates how faulty behavior Signatures allow building high level models, for example using Simulink, that reflect with high fidelity the faulty behavior of a combinational circuit represented at gate-level injected with one fault arbitrarily selected from a fault list. It is shown that we are able to capture this behavior with a correlation coefficient of 99.93%.
Repetitive vs. single transcranial electrical stimulation for intraoperative monitoring of motor conduction in spine surgery. (2003)

We studied the effectiveness of single and repetitive transcranial electrical stimulation to activate motor tracts under partial neuromuscular blockade and total intravenous anesthesia. During spinal surgery, in 10 patients, the latency and amplitude of the evoked abductor pollicis brevis muscle response after cortical stimulation was calculated and compared. The number of responses evoked by the double (pair) pulse stimulation was significantly higher (p = 0.0191) than single pulse stimulation. Repetitive stimulation caused more responses than single (p = 0.0001) or double stimulation (p = 0.0253). An increase of interstimulus interval from 1-3 msec did not significantly increase the motor response with the double pulse or repetitive stimulations. Varying the number of electrical pulses per train stimulation from 3-9 did not significantly change latency (P > 0.05) or amplitude (P > 0.05) of the motor response. The findings suggest that use of repetitive stimulation of the motor cortex is an effective method to activate motor pathway during spinal surgery.
Diffuse Ferroelectric Phase Transitions in Ba(Ti <sub>1</sub> ‐ <sub>y</sub> Zr <sub>y</sub> )O <sub>3</sub> Ceramics (1982)

Very high and broad Curie maxima are observed in ceramic Ba(Ti1‐yZry)O3 mixed crystals, which are often used for the preparation of ceramic dielectrics. The ferroelectric‐to‐paraelectric phase transition of ceramic Ba(Ti1‐yZry)O3 was studied using dielectric measurements, quantitative DTA, X‐ray diffraction, and determination of the remanent polarization. At higher Zr concentrations, it was found that ferroelectric and paraelectric phases coexist in a wide temperature region. Up toy =0.16, the phase transition remains first order. The diffuse character is promoted by the small energy difference between the ferroelectric and paraelectric phases appearing at higher Zr content. It can be best described by a normal distribution of Curie temperatures using the phenome‐nological theory of Devonshire and the Newton‐Raphson mathematical approximation.
Synthesis and Evaluation of Novel 2-Oxo-1,2-dihydro-3-quinolinecarboxamide Derivatives as Serotonin 5-HT4 Receptor Agonists. (2000)

A series of N-azabicycloalkyl-1-alkyl-2-oxo-1,2-dihydro-3-quinolinecarboxamides were synthesized and tested for serotonin 5-HT4 receptor-stimulating effects in the regulation of electrically-evoked contraction in guinea pig muscle. Among them, N-azabicycloalkyl-1-isopropyl-2-oxo-1,2-dihydro-3-quinolinecarboxamide (8c, 9c, 10c, 11c, 12c) exhibited potent serotonin 5-HT4 receptor-stimulating activity. The most potent compound, N-(endo-8-methyl-8-azabicyclo[3.2.1 oct-3-yl)-1-isopropyl-2-oxo-1,2-dihydro-3-quinolinecarboxamide (8c, ED50 = 36.3 nMi), was seven times as active as cisapride, while 8c had no affinity for 5-HT1A, 5-HT1D, D2, muscarinic M2 or muscarinic M3 receptors even at 10 microM. Compound 8c stimulated digestive tract motility in conscious fed dogs (1.0 mg/kg p.o.).
Nanostructured Platinum (<i>H</i><i><sub>I</sub></i>-ePt) Films:  Effects of Electrodeposition Conditions on Film Properties (1999)

A systematic investigation into the effects of deposition conditions on the electrochemical properties and nanostructure of high surface area (up to ∼460 m2 cm-3) mesoporous platinum films (HI-ePt) obtained by electroreduction of hexachloroplatinic acid (HCPA) from an hexagonal lyotropic liquid crystalline phase is reported. The surface area, repeat distance, and regularity of the nanostructure and the surface morphology of the films were shown to depend on the deposition conditions. In particular, the deposition potential was found to have a notable effect on the film surface area and on the uniformity of nanostructure. The results obtained are explained by variations in the efficiency of the deposition process and the relative contributions of competing reactions. Increasing the temperature of electrodeposition was found to increase significantly the surface areas of the films and to increase the repeat distance of the nanostructure. In addition, a roughening of the films on both a micro- and a nanometer scale was observed with an increase in temperature. We also found that the thickness of the electrodeposited films scaled linearly and that the volumetric surface area was constant, with the charge passed during the electrodeposition process, indicating uniform accessibility of the pore system.
Resonant light scattering by fractal clusters (1991)

A scale-invariant theory of resonant Rayleigh scattering by fractal clusters is developed. Our main result is that the scattering cross section is greatly enhanced, because of the presence of very high local fields, which are correlated and strongly fluctuating. Simulations dealing with two examples of fractal structures, namely, random walk and cluster-cluster aggregates, are presented. The numerical results confirm the theoretical predictions of the scaling behavior for both absorption and scattering, and allow us to obtain the corresponding exponents. In addition to the results for scattering, the large scale of the simulations of the present work provides a comprehensive confirmation and a substantial extension of a recent study by Markel, Muratov, Stockman, and George [Phys. Rev. B 43, 8183 (1991)].
Abstracting Symbolic Execution with String Analysis (2007)

Forward symbolic execution is a technique for program analysis that explores the execution paths of a program by maintaining a symbolic representation of the program state. Traditionally, applications of this technique have focused on symbolically representing only primitive data types, while more recent extensions have expanded to reference types. We demonstrate the ability to symbolically execute a commonly used library class, specifically a string, at an abstract level. By abstracting away the implementation details of strings using finite-state automata, symbolic execution can scale to more complex programs. This technique can be applied to programs which generate complicated strings, such as SQL database queries.
A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women (2022)

Our study suggests a limited role of gene-environment interactions in breast cancer risk.
Energetics at the Surface: Direct Optical Mapping of Core and Surface Electronic Structure in CdSe Quantum Dots Using Broadband Electronic Sum Frequency Generation Microspectroscopy (2019)

Understanding and controlling the electronic structure of nanomaterials is the key to tailoring their use in a wide range of practical applications. Despite this need, many important electronic states are invisible to conventional optical measurements and are typically identified indirectly based on their inferred impact on luminescence properties. This is especially common and important in the study of nanomaterial surfaces and their associated defects. Surface trap states play a crucial role in photophysical processes yet remain remarkably poorly understood. Here we demonstrate for the first time that broadband electronic sum frequency generation (eSFG) microspectroscopy can directly map the optically bright and dark states of nanoparticles, including the elusive below gap states. This new approach is applied to model cadmium selenide (CdSe) quantum dots (QDs), where the energies of surface trap states have eluded direct optical characterization for decades. Our eSFG measurements show clear signatures of electronic transitions both above the band gap, which we assign to previously reported one- and two-photon transitions associated with the CdSe core, as well as broad spectral signatures below the band gap that are attributed to surface states. In addition to the core states, this analysis reveals two distinct distributions of below gap states, providing the first direct optical measurement of both shallow and deep surface states on this system. Finally, chemical modification of the surfaces via oxidation results in the relative increase in the signals originating from the surface states. Overall, our eSFG experiments provide an avenue to directly map the entirety of the QD core and surface electronic structure, which is expected to open up opportunities to study how these materials are grown in situ and how surface states can be controlled to tune functionality.
Comparison of percutaneous radiofrequency ablation and CyberKnife<sup>®</sup>for initial solitary hepatocellular carcinoma: A pilot study (2015)

The occurrence of adverse events is a concern, but CyberKnife(®) treatment is likely to become an important option for local treatment of early HCC.
Complementary resistive switching behavior induced by varying forming current compliance in resistance random access memory (2015)

In this study of resistance random access memory in a resistive switching film, the breakdown degree was controlled by varying forming current compliance. A SiOx layer was introduced into the ZnO layer of the structure to induce both typical bipolar resistive switching (RS) and complementary resistive switching (CRS). In addition, the SiOx layer-generated vacuum spaces in typical bipolar RS can be verified by electrical characteristics. Changing forming current compliance strikingly modifies the oxygen storage capacity of the inserted SiOx layer. CRS can be achieved, therefore, by tuning the oxygen ion storage behavior made possible by the SiOx layer.
Synthesis and biological activity of nucleoside antibiotics, ascamycin and its amino acid analogs. (1985)

Synthesis of an alanylsulfamoyl nucleoside antibiotic, ascamycin was achieved by the condensation of N6-t-butyloxycarbonyl-2-chloro-9-(2',3'-O-isopropylidene-5'-O-sulfamoyl- beta-D- ribofuranosyl)adenine(3) with t-butyloxycarbonyl-L-alanylimidazole in the presence of NaH in DMF. Deprotection with 90% trifluoroacetic acid gave ascamycin in 61% overall yield. This procedure may be applicable for preparation of a number of amino acid analogs of ascamycin.
Nonparametric clutter rejection in Doppler ultrasound using principal component analysis (2003)

We propose a new nonparametric technique for clutter rejection. We consider the Doppler data sampled using a sufficiently large dynamic range to allow for the clutter rejection to be implemented on the digital side. The Doppler signal is modeled as the summation of the true velocity signal, a clutter component, and a random noise component. To simplify the analysis, the first two components are assumed as deterministic yet unknown signals. The Doppler data are collected from the sample volume of interest as well as from several sample volumes in its neighborhood. Given that the shape of the clutter component will be similar in all these signals and given its relatively higher magnitude, it is possible to separate this component using principal component analysis (PCA). In particular, the clutter component appears as the first eigenvector (principal component) in PCA. Given this principal component, the projection of the Doppler signal of interest onto this component is removed and the remaining signal is subsequently used to derive the Doppler spectrogram. We describe an efficient implementation methodology that allows the added computational complexity of the new system to be reasonable.