gebhart/patrepeval huggingface dataset:
Enhancing light extraction efficiency in MDMO-PPV based OLEDs by incorporating SiO2-250 nm colloidal crystals (2017)

In this work, an improvement in light extraction efficiency from MDMO-PPV based OLEDs by using colloidal crystals is demonstrated. The optimal SiO<sub>2</sub> sphere diameter for the colloidal crystal was calculated by the Plane Wave Expansion Method (PWEM), taking into account the dispersion relation of the system formed by a face-centered cubic colloidal crystal (FCC) infiltrated within the luminescent polymer MDMO-PPV. The fabrication method of such a polymer layer with a photonic crystal beneath by spin coating was proved and patented. Therefore, devices with the structure ITO/PEDOT/MDMO-PPV+SiO<sub>2</sub> colloidal crystal/Ag were elaborated. Compared with standard OLEDs containing a single MDMO-PPV luminescent layer, the external quantum efficiency of devices modified with a colloidal crystal matrix within the MDMO-PPV layer shows a significant increment, as evaluated from the optical power as a function of applied bias for both kinds of devices.
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision (2021)

A recently proposed class of models attempts to learn latent dynamics from high-dimensional observations, like images, using priors informed by Hamiltonian mechanics. While these models have important potential applications in areas like robotics or autonomous driving, there is currently no good way to evaluate their performance: existing methods primarily rely on image reconstruction quality, which does not always reflect the quality of the learnt latent dynamics. In this work, we empirically highlight the problems with the existing measures and develop a set of new measures, including a binary indicator of whether the underlying Hamiltonian dynamics have been faithfully captured, which we call Symplecticity Metric or SyMetric. Our measures take advantage of the known properties of Hamiltonian dynamics and are more discriminative of the model's ability to capture the underlying dynamics than reconstruction error. Using SyMetric, we identify a set of architectural choices that significantly improve the performance of a previously proposed model for inferring latent dynamics from pixels, the Hamiltonian Generative Network (HGN). Unlike the original HGN, the new HGN++ is able to discover an interpretable phase space with physically meaningful latents on some datasets. Furthermore, it is stable for significantly longer rollouts on a diverse range of 13 datasets, producing rollouts of essentially infinite length both forward and backwards in time with no degradation in quality on a subset of the datasets.
A new T-type NPC-based submodule for modular multilevel cascaded converters (2014)

This paper presents a novel 4-Level T-Type Neutral-Point-Clamped (4LT <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> -NPC) submodule for modular multilevel cascaded converter (MMCC) family. Using the proposed modules in the cascaded converters is advantageous in reducing the number of submodules, thus reducing the dimensions of the converter. It is also shown; this new solution can contribute not only in reduction of converter submodules, but can also offer additional controllability in controlling the converter and overcome the typical NPC multilevel submodule drawback of dc capacitor voltage balancing limitation. The switching states and capacitor balancing of the new submodule are analyzed and a balancing scheme is introduced. The operation of the proposed submodule in MMCC is validated by simulation results.
Studies of Jet Fuel Additives using the Quartz Crystal Microbalance and Pressure Monitoring at 140.degree.C (1994)

The quartz crystal microbalance (QCM) and pressure monitoring are used for the evaluation of jet fuel additives for the improvement of jet fuel thermal stability. The mechanisms of additive behavior are determined by measuring the time dependent deposition with the QCM and oxidation by pressure measurements. Studies at various additive concentrations permits the determination of optimum additive concentrations. Additive packages made of mixtures of antioxidants, detergent/dispersants, and metal deactivators are shown to yield good improvements in thermal stability over a wide range of jet fuel types.
Analysis of the direct effects of prostaglandins on human sperm function (1985)

Time-exposure photomicrography and interspecies in-vitro fertilization procedures have been used to examine the influence of prostaglandins on human sperm function. An analysis of variance indicated that the presence of PGs in the incubation media was associated with a significant increase in sperm velocity and the frequency of sperm head rotation, although there were no differences between individual PGs in the degree of stimulation observed. Changes in the penetrating ability of human spermatozoa were detected after exposure to PGs, particularly PGE-1 and PGE-2. PGE-2 induced a sustained increase in penetration rates at all doses of greater than 8.4 micrograms/ml, while exposure to PGE-1 gave a bell-shaped dose-response curve which exhibited a peak between 8.4 and 33.3 micrograms/ml and progressively fell to reach control levels at the maximum concentration tested of 270 micrograms/ml. A combination of PGE-2 and PGE-1 produced a dose-response curve similar to that for PGE-1 alone, while exposure to PGF-2 alpha was without effect. Seminal extracts containing predominantly 19-hydroxy PGE-1, or equal amounts of 19-hydroxy PGE-1 + 2 induced a slight, but significant, rise in penetration rates while a combination of PGs representing the major components of human seminal plasma was without significant effect. We conclude that certain prostaglandins may have a direct action on the functional competence of human spermatozoa.
Electroceutical Fabric Lowers Zeta Potential and Eradicates Coronavirus Infectivity upon Contact (2020)

Coronavirus with intact infectivity attached to PPE surfaces pose significant threat to the spread of COVID-19. We tested the hypothesis that an electroceutical fabric, generating weak potential difference of 0.5V, disrupts the infectivity of coronavirus upon contact by destabilizing the electrokinetic properties of the virion. Respiratory coronavirus particles (10&lt;sup&gt;5&lt;/sup&gt;) were placed in direct contact with the fabric for 1 or 5 minutes. Viral particles (2.5-4x10&lt;sup&gt;4&lt;/sup&gt;) were recovered from the fabric. Following one minute of contact, zeta potential of the coronavirus was significantly lowered indicating destabilization of its electrokinetic properties. Size-distribution plot showed appearance of aggregation of the virus. Testing of the cytopathic effects of the virus showed eradication of infectivity as quantitatively assessed by PI-calcein and MTT cell viability tests. This work provides the rationale to consider the studied electroceutical fabric, or other materials with comparable property, as material of choice for the development of PPE in the fight against COVID-19.
Attention-based end-to-end CNN framework for content-based X-ray image retrieval (2021)

The widespread use of medical imaging devices allows deep analysis of diseases. However, the task of examining medical images increases the burden of specialist doctors. Computer-assisted systems provide an effective management tool that enables these images to be analyzed automatically. Although these tools are used for various purposes, today, they are moving towards retrieval systems to access increasing data quickly. In hospitals, the need for content-based image retrieval systems is seriously evident in order to store all images effectively and access them quickly when necessary. In this study, an attention-based end-to-end convolutional neural network (CNN)framework that can provide effective access to similar images from a large X-ray dataset is presented. In the first part of the proposed framework, a fully convolutional network architecture with attention structures is presented. This section contains several layers for determining the saliency points of X-ray images. In the second part of the framework, the modified image with X-ray saliency map is converted to representative codes in Euclidean space by the ResNet-18 architecture. Finally, hash codes are obtained by transforming these codes into hamming spaces. The proposed study is superior in terms of high performance and customized layers compared to current state-of-the-art X-ray image retrieval methods in the literature. Extensive experimental studies reveal that the proposed framework can increase the current precision performance by up to 13
ChemInform Abstract: Rhodium‐Catalyzed Reactions of Cyclic 2‐Diazo‐1,3‐dicarbonyl Compounds with Nitriles. (1998)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Invariance of the slope of the psychometric function with spatial summation (1986)

The high-threshold probability summation model for improved detection of near-threshold gratings with increased spatial extent of the patterns assumes that the detection psychometric function is a Weibull function. This model predicts that the slope of the psychometric function should not change as the number of mechanisms stimulated increases, although other models predict that the slope should vary. We confirm for a two-alternative, forced-choice paradigm that the slope parameter does not vary systematically with spatial frequency or with number of periods of the grating, although there are reliable differences in average slope between observers.
ChemInform Abstract: Tetrakis(2,6‐di‐t‐butylphenoxy)uranium(IV): The First Structurally Characterized Neutral Homoleptic Aryloxide Complex of Uranium(IV). (1989)

ChemInformVolume 20, Issue 38 Organoelement Compounds ChemInform Abstract: Tetrakis(2,6-di-t-butylphenoxy)uranium(IV): The First Structurally Characterized Neutral Homoleptic Aryloxide Complex of Uranium(IV). W. G. VAN DER SLUYS, W. G. VAN DER SLUYS Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorA. P. SATTELBERGER, A. P. SATTELBERGER Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorW. E. STREIB, W. E. STREIB Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorJ. C. HUFFMAN, J. C. HUFFMAN Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this author W. G. VAN DER SLUYS, W. G. VAN DER SLUYS Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorA. P. SATTELBERGER, A. P. SATTELBERGER Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorW. E. STREIB, W. E. STREIB Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this authorJ. C. HUFFMAN, J. C. HUFFMAN Inorg. Struct. Chem. Group, Isot. Nucl. Chem. Div., Los Alamos Natl. Lab., Los Alamos, NM 87545, USASearch for more papers by this author First published: September 19, 1989 https://doi.org/10.1002/chin.198938297Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume20, Issue38September 19, 1989 RelatedInformation
Fast variability analysis of general nonlinear circuits using decoupled polynomial chaos (2014)

This paper presents a new approach aimed at limiting the growth of the computational cost of variability analysis, of nonlinear circuits, using the Hermite-based Polynomial Chaos (PC), with the increase in the number of random variables. The proposed technique is based on deriving a closed-form formula for the structure of the augmented Jacobian matrix generated by the PC approach, and then shows that this structure can be approximated with a different structure that can be decoupled into independent diagonal blocks.
Evidence-based surgery for laparoscopic cholecystectomy (2022)

Key operative steps of laparoscopic cholecystectomy should be informed by both compiled data and surgeon preference/patient considerations.
Growth of Ge, Si, and SiGe nanocrystals in SiO2 matrices (1995)

Nanocrystals of group-IV semiconductor materials (Si, Ge, and SiGe) have been fabricated in SiO2 by ion implantation and subsequent thermal annealing. The microstructure of these nanocrystals has been studied by transmission electron microscopy. Critical influences of the annealing temperatures and implantation doses on the nanocrystal size distributions are demonstrated with the Ge-implanted systems. Significant roughening of the nanocrystals occurs when the annealing temperature is raised above the melting temperature of the implanted semiconductor material.
Biocomposite of Cassava Starch Reinforced with Cellulose Pulp Fibers Modified with Deposition of Silica (SiO2) Nanoparticles (2015)

Eucalyptus pulp cellulose fibers were modified by the sol‐gel process for SiO 2 superficial deposition and used as reinforcement of thermoplastic starch (TPS). Cassava starch, glycerol, and water were added at the proportion of 60/26/14, respectively. For composites, 5% and 10% (by weight) of modified and unmodified pulp fibers were added before extrusion. The matrix and composites were submitted to thermal stability, tensile strength, moisture adsorption, and SEM analysis. Micrographs of the modified fibers revealed the presence of SiO 2 nanoparticles on fiber surface. The addition of modified fibers improved tensile strength in 183% in relation to matrix, while moisture adsorption decreased 8.3%. Such improvements were even more effective with unmodified fibers addition. This result was mainly attributed to poor interaction between modified fibers and TPS matrix detected by SEM analysis.
SALL4 ‐ KHDRBS3 network enhances stemness by modulating CD44 splicing in basal‐like breast cancer (2018)

Understanding the mechanism by which cancer cells enhance stemness facilitates cancer therapies. Here, we revealed that a stem cell transcription factor, SALL4, functions to enhance stemness in basal-like breast cancer cells. We used shRNA-mediated knockdown and gene overexpression systems to analyze gene functions. To evaluate stemness, we performed a sphere formation assay. In SALL4 knockdown cells, the sphere formation ability was reduced, indicating that SALL4 enhances stemness. CD44 is a membrane protein and is known as a stemness factor in cancer. CD44 splicing variants are involved in cancer stemness. We discovered that SALL4 modulates CD44 alternative splicing through the upregulation of KHDRBS3, a splicing factor for CD44. We cloned the KHDRBS3-regulated CD44 splicing isoform (CD44v), which lacks exons 8 and 9. CD44v overexpression prevented a reduction in the sphere formation ability by KHDRBS3 knockdown, indicating that CD44v is positively involved in cancer stemness. In addition, CD44v enhanced anoikis resistance under the control of the SALL4 - KHDRBS3 network. Basal-like breast cancer is an aggressive subtype among breast cancers, and there is no effective therapy so far. Our findings provide molecular targets for basal-like breast cancer therapy. In the future, this study may contribute to the establishment of drugs targeting cancer stemness.
The Requirements Problem for Adaptive Systems (2014)

Requirements Engineering (RE) focuses on eliciting, modeling, and analyzing the requirements and environment of a system-to-be in order to design its specification. The design of the specification, known as the Requirements Problem (RP), is a complex problem-solving task because it involves, for each new system, the discovery and exploration of, and decision making in a new problem space. A system is adaptive if it can detect deviations between its runtime behavior and its requirements, specifically situations where its behavior violates one or more of its requirements. Given such a deviation, an Adaptive System uses feedback mechanisms to analyze these changes and decide, with or without human intervention, how to adjust its behavior as a result. We are interested in defining the Requirements Problem for Adaptive Systems (RPAS). In our case, we are looking for a configurable specification such that whenever requirements fail to be fulfilled, the system can go through a series of adaptations that change its configuration and eventually restore fulfilment of the requirements. From a theoretical perspective, this article formally shows the fundamental differences between standard RE (notably Zave and Jackson [1997]) and RE for Adaptive Systems (see the seminal work by Fickas and Feather [1995], to Letier and van Lamsweerde [2004], and up to Whittle et al. [2010]). The main contribution of this article is to introduce the RPAS as a new RP class that is specific to Adaptive Systems. We relate the RPAS to RE research on the relaxation of requirements, the evaluation of their partial satisfaction, and the monitoring and control of requirements, all topics of particular interest in research on adaptive systems [de Lemos et al. 2013]. From an engineering perspective, we define a proto-framework for solving RPAS, which illustrates features needed in future frameworks for adaptive software systems.
Numerical modeling method for UV imprint process simulation using thermoviscoelastic constitutive equations (2019)

A novel numerical modeling method for UV imprint process simulation using thermoviscoelastic constitutive equations is proposed. The purpose of the process simulation is to predict transfer errors caused by UV shrinkage when a soft mold such as polydimethylsiloxane (PDMS) is used. The proposed method introduces an imaginary physical quantity, “virtual temperature,” as a measure of UV reaction progress and then replaces the UV curing/shrinkage phenomenon with the thermoviscoelastic cooling solidification/contraction phenomenon. A series of rheometry experiments are conducted for a general UV resin to identify the material properties of the UV resin as a thermoviscoelastic material. For the purpose of verification, the proposed method with the identified material properties is applied to the simulation of the rheometry experiments. Moreover, for the sake of validation, it is also applied to an actual UV imprinting process for a micromirror array molding with a PDMS mold. These analysis results prove the effectiveness of the present method in predicting transfer errors caused by UV shrinkage.
A quality criterion for digitized images with varying coherence of illumination (1990)

The process of comparing analogous images digitally obtained by means of a TV camera is studied. These images suffer degradation owing to defocusing, variation in the degree of coherence or because of later application of digital smoothing filters. A numerical quality criterion based on the transfer function, the degree of coherence and a similarity coefficient is developed which put the images in the same order as established by several observers. The application of this criterion permits the automatic comparison and ordering of these images.
[Human tumor necrosis factor mutants: preparation and some properties]. (1996)

Using polymerase chain reaction, a number of mutant genes encoding human tumor necrosis factor (TNF-alpha) with amino acid substitutions and a deletion were obtained. The mutant proteins (muteins) contained point mutations R32H, A33S, F144L, I118M, and I118A; double mutation R32H-F144L; and deletion of four amino acid residues 67-70. The mutant genes were expressed in E. coli under the control of constitutive promoters. A simple purification method for the muteins was developed and their physicochemical properties were studied. All the muteins obtained, except F144L and I118A, were shown by CD and cross-linking to from a spatial structure similar to that of the native TNF-alpha. The collection of muteins was characterized by their biological activity. Mutants R32H and A33S exerted a decreased cytotoxicity against murine fibroblast cell line L929, whereas point mutant F144L and double mutant R32H-F144L were essentially inactive.
ChemInform Abstract: A Convergent Asymmetric Synthesis of γ‐Butenolides. (1999)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Discovery, gene modification, and optimization of fermentation of an enduracidin-producing strain (2018)

Enduracidin significantly inhibits Gram-positive bacteria and had been widely used in many fields. However, as the poor technology for production of enduracidin and its scarcity, identification of novel strategies for production of enduracidin is important. Our group developed two methods to improve the yield of the production of enduracidin. The yield of enduracidin was increased by three- to fivefold. The highest yields of enduracidin A and enduracidin B achieved were 63.7 and 82.13 mg/ml. Thus, our results might provide a new reference method for the industrial production of enduracidin.
CS-25 * MOLECULAR SUBCLASSIFICATION OF GLIOBLASTOMA BASED ON THE ABSOLUTE QUANTITATIVE PROTEOMICS (2014)

Glioblastoma (GBM) has been classified into molecular subtypes with the advent of large-scale gene expression studies. The purpose of this study is to attempt to classify GBM subtypes based on the molecular profile determined by absolute quantitative proteomics and to investigate its clinical significance. The absolute protein expression levels of 13 species of receptor tyrosine kinases (RTKs) in 33 adult GBM surgical specimens were measured by the mass spectrometer which was set up to run a multi-channel reaction monitoring. For each tumor, we ascertained information on patient age, gender, IDH1 mutation, methylation status of MGMT promoter, progression-free survival (PFS) and overall survival (OS). Eight RTK proteins (EGFR, ERBB2, PDGFRα, PDGFRβ, VEGFR1, CD33, CD37, c-kit) were successfully quantified, whereas 5 protein levels were below detection limit. Large individual differences were observed in protein expression levels of each RTK. The highest mean expression level was detected for EGFR. GBMs in our study harbored mutually exclusive dominant expression of three RTKs; EGFR, ERBB2 and PDGFRα. Therefore, we propose a subclassification of GBM with respect to the dominant expression of these proteins; EGFR (n = 20), ERBB2 (n = 7) and PDGFRα (n = 6). The clinical characteristics of each group (EGFR, ERBB2, PDGFRα) are as follows: average age, (61.9, 58.4, 56.7 years old), gender (male/female, 15/5, 4/3, 6/0), IDH1 (wild/mutant, 18/2, 6/1, 6/0), MGMT promoter (methylated/unmethylated, 8/12, 3/4, 4/2), the median progression-free survival (PFS) (7.6, 10.0, 8.6 months), the median overall survival (OS) (13.7, 21.1, 13.8 months). PFS and OS tended to be longer in ERBB2 group in comparison with EGFR and PDGFRα group. Molecular subclassification of GBM based on the absolute quantitative proteomics reflects the clinical behavior and might have clinical significance.