gebhart/patrepeval huggingface dataset:
Gold Nanoparticle Patterning of Silicon Wafers Using Chemical e-Beam Lithography (2004)

This paper demonstrates a novel facile method for fabrication of patterned arrays of gold nanoparticles on Si/SiO2 by combining electron beam lithography and self-assembly techniques. Our strategy is to use direct-write electron beam patterning to convert nitro functionality in self-assembled monolayers of 3-(4-nitrophenoxy)-propyltrimethoxysilane to amino functionality, forming chemically well-defined surface architectures on the 100 nm scale. These nanopatterns are employed to guide the assembly of citrate-passivated gold nanoparticles according to their different affinities for amino and nitro groups. This kind of nanoparticle assembly offers an attractive new option for nanoparticle patterning a silicon surface, as relevant, for example, to biosensors, electronics, and optical devices.
Serum CA 19-9 and alpha-fetoprotein levels in primary hepatocellular carcinoma and liver cirrhosis (1991)

Serum CA 19-9 and alpha-fetoprotein (AFP) levels were determined in 211 patients with liver cirrhosis and 27 with primary hepatocellular carcinoma (HCC) associated with liver cirrhosis. This was done to determine the usefulness of CA 19-9 level with respect to AFP level in distinguishing between these two illnesses, and to assess the influence of some clinical and biochemical variables on these tests in patients with liver cirrhosis with or without primary HCC. Pathologic AFP values were found in 23 of 27 (sensitivity, 85%) patients with HCC; CA 19-9 levels increased in only 12 of 27 (sensitivity, 44%) HCC patients, the values being comparable with those of patients with liver cirrhosis. In liver cirrhosis a substantial number of false-positive values was found for both markers, although they were higher for CA 19-9 (50 of 211 versus 39 of 211). In liver cirrhosis correlations were found between AFP level and alanine amino-transferase level; and between CA 19-9 level and (1) total bilirubin value, (2) alkaline phosphatase level, and (3) pseudocholinesterase level. The authors conclude that CA 19-9 level is a poor biochemical marker, inferior to AFP level, in the detection of a carcinomatous transformation of liver cirrhosis. The finding of false-positive AFP values in liver cirrhosis seems mainly attributable to cellular proliferation and necrosis. Cholestasis seems to greatly affect serum CA 19-9 level variations, probably by reducing its liver metabolism.
The KEGG databases at GenomeNet (2002)

The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order functional meanings and utilities of the cell or the organism from its genome information. KEGG consists of the PATHWAY database for the computerized knowledge on molecular interaction networks such as pathways and complexes, the GENES database for the information about genes and proteins generated by genome sequencing projects, and the LIGAND database for the information about chemical compounds and chemical reactions that are relevant to cellular processes. In addition to these three main databases, limited amounts of experimental data for microarray gene expression profiles and yeast two-hybrid systems are stored in the EXPRESSION and BRITE databases, respectively. Furthermore, a new database, named SSDB, is available for exploring the universe of all protein coding genes in the complete genomes and for identifying functional links and ortholog groups. The data objects in the KEGG databases are all represented as graphs and various computational methods are developed to detect graph features that can be related to biological functions. For example, the correlated clusters are graph similarities which can be used to predict a set of genes coding for a pathway or a complex, as summarized in the ortholog group tables, and the cliques in the SSDB graph are used to annotate genes. The KEGG databases are updated daily and made freely available (http://www.genome.ad.jp/kegg/).
Enantioselective Chemoenzymatic Synthesis of <i>cis-</i> and <i>trans</i>-2,5-Disubstituted Morpholines (2010)

A versatile synthesis of enantiomerically pure cis- and trans-2,5-disubstituted morpholines is described. Hydroxynitrile lyase-mediated cyanide addition onto aldehydes provided cyanohydrins in virtually quantitative yield and excellent enantioselectivity. Subsequent formation of diastereomerically pure amino esters via a three-step, one-pot reduction-transimination-reduction sequence followed by reduction and simultaneous protection provided cyclization precursors. Finally, cyclization and SmI(2)-mediated reductive detosylation completed the synthesis of cis- and trans-2,5-disubstituted morpholines in good yields and excellent diastereoselectivities.
Development of a polymer pressure gage with temperature compensation (1983)

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Heterogeneous Enantioselective Hydrogenation of Activated Ketones Catalyzed by Modified Pt‐Catalysts: A Systematic Structure‐Selectivity Study (2003)

Abstract A systematic structure‐selectivity study was carried out for the enantioselective hydrogenation of activated ketones with chirally modified Pt/Al 2 O 3 catalysts. For this, 18 modifiers containing an extended aromatic system able to form a strong adsorption complex with the Pt surface, and a suitable chiral group with an amino function capable to interact with the keto group of the substrate ( HCd, Qd, HCn, Qn , and semi‐synthetic derivatives, as well as synthetic analogues) were prepared and tested on 8 different activated ketones in AcOH and toluene under standard conditions. It was found that relatively small structural changes of the substrate and/or modifier structures strongly affected the enantioselectivity, and that no “best” modifier exists for all substrates. The highest ees for all substrates were obtained with quinuclidine‐derived modifiers in combination with naphthalene or quinoline rings, either in AcOH (substrates 1 – 5 and 8 , all carrying an sp 3 carbon next to the keto group) or toluene ( 6 and 7 , with an sp 2 carbon next to the ketone). The presence and nature of the substituent R' at the quinuclidine significantly affected the ee (positive and negative effects). Certain combinations of an aromatic system and an amino function were preferred: For the quinuclidine moiety, quinoline and to a somewhat lesser extent naphthalene were a better match, while for the pyrrolidinylmethyl group anthracene was better suited. Methylation of the OH group often had a positive effect for hydrogenations in AcOH but not in toluene. With the exception of 8 , higher ees were obtained for the Cd / Qn series [leading to ( R )‐products] than for the Cn / Qd series [leading to ( S )‐products]. In several cases, opposite structure‐selectivity trends were detected when comparing reactions in toluene and AcOH, indicating a significant influence of the solvent.
Serum autoantibodies in patients with Alzheimer's disease and vascular dementia and in nondemented control subjects. (1992)

Despite the relatively small number of individuals examined in each category, the elevated number of autoantibodies associated with possible Alzheimer's disease with cerebrovascular disease and vascular dementia indicates a possible link between the presence of autoantibodies and cerebrovascular disorders in dementia.
Simultaneous estimation of six anti‐diabetic drugs—glibenclamide, gliclazide, glipizide, pioglitazone, repaglinide and rosiglitazone: development of a novel HPLC method for use in the analysis of pharmaceutical formulations and its application to human plasma assay (2006)

This paper describes a convenient method for the separation and simultaneous determination of six anti-diabetic drugs viz., glibenclamide (GLB), gliclazide (GLC), glipizide (GLZ), pioglitazone (PGL), repaglinide (RPG) and rosiglitazone (RGL) in pharmaceutical formulations. Also, the assay has been shown applied to support quantification of the six anti-diabetic drugs in human plasma. The analytes were either injected directly onto the column after suitable dilution (pharmaceutical formulation analysis) or a simple extraction procedure, using acetonitrile, from human plasma spiked with anti-diabetic drugs and internal standard (IS). Ternary gradient elution at a flow rate of 1 mL/min was employed on an Intertisl ODS 3V column (4.6 x 250 mm, 5 microm) at ambient temperature. The mobile phase consisted of 0.01 m formic acid (pH 3.0), acetonitrile, Milli Q water and methanol. Celecoxib was used as an IS. The six anti-diabetic drugs were monitored at a wavelength of 260 nm. The nominal retention times of RGL, PGL, GLZ, GLC, GLB, IS and RGL were 11.4, 13.3, 14.8, 17.6, 20.78, 22.1 and 25.4 min, respectively. The assay developed for formulation analysis was found to be accurate and precise. The calibration curves ranged from 0.1 to 100 microg/mL for all analytes with the exception of GLB, where the range was 0.3-100 microg/mL. The plasma assay was validated for parameters such as specificity, accuracy and extraction recovery. The proposed method is simple, selective and can be extended for routine analysis of anti-diabetics in pharmaceutical preparations and in biological matrices.
Study of thermal conductivity requirements. Volume 1 - High performance insulation thermal conductivity test program Interim report (1969)

Cylindrical calorimeter designed to measure temperature dependent thermal conductivity for high performance insulation
Spatial Filter Design for Observation Spillover Suppression (2007)

The present paper examines a method for the design of a spatial filter for suppressing modal observation spillover. A type of modal filter was proposed for eliminating several selected modal amplitudes from structural vibration responses. This filtering methodology can be realized by a small number of sensors, relative to the number of dominant modes in the frequency range of interest. The proposed filter can be designed using sensor placement to realize that the two subspaces, which are respectively spanned by a spatial filter vector and the selected target modal vectors, are orthocomplementary. The observation modal spillover associated with these selected modes is then suppressed. The effectiveness of the proposed filter was verified numerically for a cantilever beam and simulation results demonstrated potential for suppressing spillover in vibration control and health monitoring.
Fast, robust, continuous monocular egomotion computation (2016)

We propose robust methods for estimating camera egomotion in noisy, real-world monocular image sequences in the general case of unknown observer rotation and translation with two views and a small baseline. This is a difficult problem because of the nonconvex cost function of the perspective camera motion equation and because of non-Gaussian noise arising from noisy optical flow estimates and scene non-rigidity. To address this problem, we introduce the expected residual likelihood method (ERL), which estimates confidence weights for noisy optical flow data using likelihood distributions of the residuals of the flow field under a range of counterfactual model parameters. We show that ERL is effective at identifying outliers and recovering appropriate confidence weights in many settings. We compare ERL to a novel formulation of the perspective camera motion equation using a lifted kernel, a recently proposed optimization framework for joint parameter and confidence weight estimation with good empirical properties. We incorporate these strategies into a motion estimation pipeline that avoids falling into local minima. We find that ERL outperforms the lifted kernel method and baseline monocular egomotion estimation strategies on the challenging KITTI dataset, while adding almost no runtime cost over baseline egomotion methods.
A Precise Road Network Modeling and Map Matching for Vehicle Navigation (2008)

In this paper, we describe a precise road model for vehicle localization and map matching for the purpose of driver assistance. This model utilizes the prevalent digital road map and road points ('IP' points) such as: intersection points and supporting points with orientation variation, to estimate road curvature in two-dimensional alignment. In our work, road geometries such as clothoid curve and circle are used to reconstruct road shape, which was approximated by piece-wise lines before. Therefore, we design the whole network modeling consisting of 'IP' points, linear segments and curve segments. And new map matching approach is also proposed according to different segments. Finally, in order to test the performance of this model in practical situation, we employed VICNAS system with new hybrid vehicle localization approach combining commercial GPS and inertial sensors, and experimental results verified the effectiveness and efficiency of our approach.
Delayed immune mediated adverse effects to hyaluronic acid fillers: report of five cases and review of the literature (2015)

Hyaluronic acid (HA) fillers in cosmetic medicine have been considered relatively safe, though fillers used in European countries and throughout the world are not necessarily approved by the Food and Drug Administration. As their use continues to expand worldwide, physicians in a wide range of medical specialties are authorized to perform HA injections, including general medicine practitioners and even dentists. An increasing number of reports have appeared regarding side effects to these products. It is now known that reactions to Hyaluronic acid are related not only to technical faults of the injections, but also to immune responses, including delayed hypersensitivity and granulomatous reactions. Herein, we describe five cases treated by a variety of treatment modalities, all with delayed reactions to different brands of hyaluronic acid fillers. As there is currently no standardization of treatment options of adverse effects, these cases accentuate the debate regarding the approach to the individual patient and the possible need for pre-testing in patients with an atopic tendency.
Glutathione pathway gene variation and risk of autism spectrum disorders (2011)

Despite evidence that autism is highly heritable with estimates of 15 or more genes involved, few studies have directly examined associations of multiple gene interactions. Since inability to effectively combat oxidative stress has been suggested as a mechanism of autism, we examined genetic variation 42 genes (308 single-nucleotide polymorphisms (SNPs)) related to glutathione, the most important antioxidant in the brain, for both marginal association and multi-gene interaction among 318 case-parent trios from The Autism Genetic Resource Exchange. Models of multi-SNP interactions were estimated using the trio Logic Regression method. A three-SNP joint effect was observed for genotype combinations of SNPs in glutaredoxin, glutaredoxin 3 (GLRX3), and cystathione gamma lyase (CTH); OR = 3.78, 95% CI: 2.36, 6.04. Marginal associations were observed for four genes including two involved in the three-way interaction: CTH, alcohol dehydrogenase 5, gamma-glutamylcysteine synthetase, catalytic subunit and GLRX3. These results suggest that variation in genes involved in counterbalancing oxidative stress may contribute to autism, though replication is necessary.
The multifaceted role of ischemia/reperfusion in sickle cell anemia (2020)

Sickle cell anemia is a unique disease dominated by hemolytic anemia and vaso-occlusive events. The latter trigger a version of ischemia/reperfusion (I/R) pathobiology that is singular in its origin, cyclicity, complexity, instability, perpetuity, and breadth of clinical consequences. Specific clinical features are probably attributable to local I/R injury (e.g., stroke syndromes) or remote organ injury (e.g., acute chest syndrome) or the systematization of inflammation (e.g., multifocal arteriopathy). Indeed, by fashioning an underlying template of endothelial dysfunction and vulnerability, the robust inflammatory systematization no doubt contributes to all sickle pathology. In this Review, we highlight I/R-targeting therapeutics shown to improve microvascular blood flow in sickle transgenic mice undergoing I/R, and we suggest how such insights might be translated into human therapeutic strategies.
Scalable column concept determination for web tables using large knowledge bases (2013)

Tabular data on the Web has become a rich source of structured data that is useful for ordinary users to explore. Due to its potential, tables on the Web have recently attracted a number of studies with the goals of understanding the semantics of those Web tables and providing effective search and exploration mechanisms over them. An important part of table understanding and search is column concept determination, i.e., identifying the most appropriate concepts associated with the columns of the tables. The problem becomes especially challenging with the availability of increasingly rich knowledge bases that contain hundreds of millions of entities. In this paper, we focus on an important instantiation of the column concept determination problem, namely, the concepts of a column are determined by fuzzy matching its cell values to the entities within a large knowledge base. We provide an efficient and scalable MapReduce-based solution that is scalable to both the number of tables and the size of the knowledge base and propose two novel techniques: knowledge concept aggregation and knowledge entity partition. We prove that both the problem of finding the optimal aggregation strategy and that of finding the optimal partition strategy are NP-hard, and propose efficient heuristic techniques by leveraging the hierarchy of the knowledge base. Experimental results on real-world datasets show that our method achieves high annotation quality and performance, and scales well.
Application of computer assisted combinatorial chemistry in antivirial, antimalarial and anticancer agents design (2002)

Abstract Combinatorial chemistry and technologies have been developed to a stage where synthetic schemes are available for generation of a large variety of organic molecules. The innovative concept of combinatorial design assumes that screening of a large and diverse library of compounds will increase the probability of finding an active analogue among the compounds tested. Since the rate at which libraries are screened for activity currently constitutes a limitation to the use of combinatorial technologies, it is important to be selective about the number of compounds to be synthesized. Early experience with combinatorial chemistry indicated that chemical diversity alone did not result in a significant increase in the number of generated lead compounds. Emphasis has therefore been increasingly put on the use of computer assisted combinatorial chemical techniques. Computational methods are valuable in the design of virtual libraries of molecular models. Selection strategies based on computed physicochemical properties of the models or of a target compound are introduced to reduce the time and costs of library synthesis and screening. In addition, computational structure-based library focusing methods can be used to perform in silico screening of the activity of Compounds against a target receptor by docking the ligands into the receptor model. Three case studies are discussed dealing with the design of targeted combinatorial libraries of inhibitors of HIV-1 protease, P. falciparum plasmepsin and human urokinase as potential antivirial, antimalarial and anti-cancer drugs. These illustrate library focusing strategies.
Fenton's reagent in dimethyl sulphoxide: an unusual sulphonylating system. X-Ray crystallographic analysis of 4-N,N-dimethylamino-N,N-dimethane-sulphonylaniline (1990)

On treatment with Fenton's reagent in dimethyl Sulphoxide nitrosoarenes form sulphonylate products, while the expected N,O-dimethylated hydroxylamine is isolated only in the case of nitrosobenzene in low yield. Nitrosobenzene and 4-cyanonitrosobenzene lead to N-sulphonylhydroxylamines while 4-nitroso-N,N-dimethylaniline and 1-nitroso-2-phenyl-3-acetylindolizine give sulphonamides and ring-sulphonylated products. A nitrenium cation is suggested to play a primary role in this process. X-Ray analysis of the title compound confirms the trigonal planar arrangement of the dimethylamino group and its coplanarity with the benzene ring, as expected in accord with the results found in related derivatives.
The Deep Learning Based Power Line Defect Detection System Built on Data Collected by the Cablewalker Drone (2019)

Traditional technologies used for servicing and inspecting power line condition are expensive, time consuming and put people's lives at risk. Employing UAVs equipped with payloads for power line inspection combined with machine vision and machine learning techniques to analyze the data collected can offer great improvements in terms of defect detection efficiency, cost and safety. The article talks about the neural network created to detect and classify power line poles on images or videos. The neural network in question is the first part of the larger end-to-end power line defect detection software being developed.
Amino acid sequence of the N alpha-terminal 201 residues of human erythrocyte membrane band 3. (1983)

We have determined the amino acid sequence of the N alpha-terminal portion of band 3, the anion transport protein of the human erythrocyte membrane. The material analyzed was a 201-residue, 23,053-Da fragment cleaved from the cytoplasmic end of band 3 by S-cyanylation. The sequence had these notable features. 1) The N alpha-terminal region was extraordinarily acidic, second only to a segment of similar size from the sigma factor of Escherichia coli RNA polymerase. The first 33 residues contained 6 aspartic acid and 12 glutamic acid residues, no basic residue, and a blocked N alpha-amino group. 2) The first 11 residues of the protein had a striking resemblance to the following 11 residues. 3) In contrast to the acidic N alpha-terminal third, the COOH-terminal two-thirds of the 23,053-Da fragment had a predominantly basic character. The highly acidic character of the N alpha-terminal portion of band 3 accounts for the capacity of this part of the protein to bind glycolytic enzymes in a highly electrostatic fashion, presumably through interaction with their cationic substrate-binding sites.
Characterization and control of low temperature co-fire ceramic (LTCC) sintering (2003)

Low temperature co-fire ceramic (LTCC) materials technology offers a cost-effective and versatile approach to design and manufacture high performance and reliable advanced microelectronic packages (e.g., for wireless communications). A critical issue in manufacturing LTCC microelectronics is the need to precisely and reproducibly control shrinkage on sintering. Master Sintering Curve (MSC) theory has been evaluated and successfully applied as a tool to predict and control LTCC sintering. Dilatometer sintering experiments were designed and completed to characterize the anisotropic sintering behavior of green LTCC materials formed by tape casting. The resultant master sintering curve generated from these data provides a means to predict density as a function of sintering time and temperature. The application of MSC theory to DuPont 951 Green Tape will be demonstrated. Sandia National Laboratories is a multi-program laboratory operated by Sandia Corporation, a Lockheed Martin Company for the United States Department of Energy under contract No. DE-AC04-94AL8500.
Bezier Curve Modeling for Neutrosophic Data Problem, Neutrosophic Sets and Systems (2017)

Neutrosophic set concept is defined with membership,non-membership and indeterminacy degrees. This concept is the so-lution and representation of the problems with various fields. In thispaper, a geometric model is introduced for Neutrosophic data prob-lem for the first time. This model is based on neutrosophic sets andneutrosophic relations. Neutrosophic control points are defined ac-cording to these points, resulting in neutrosophic B`ezier curves.