gebhart/patrepeval huggingface dataset:
Microstructure Analysis and Mechanical Properties of Low Alloy High Strength Quenched and Partitioned Steel (2016)

Gleeble study of the quenching and partitioning (Q&amp;P) process has been performed on Domex 960 steel (Fe, 0.08 %C, 1.79 %Mn, 0.23 %Si, 0.184 %Ti, and 0.038 %Al). The effect of different Q&amp;P conditions on microstructure and mechanical properties were investigated. The aim of the process is to produce a fine grained microstructure for better ductility and controlled amounts of different micro-constituents to increase the strength and toughness simultaneously. Three different quenching temperatures, three partitioning temperatures and three partitioning times have been selected to process the 27 specimens by Gleeble® 1500. The specimens were characterized by means of OM, SEM, XRD, hardness and impact tests. It was found that, fine lath martensite with retained austenite is achievable without high amount of Si or Al in the composition although lack of these elements may cause the formation of carbides and decrease the available amount of carbon for partitioning into the austenite. The hardness increases as the quenching temperature is decreased, however, at highest partitioning temperature (640 ◦ C) the hardness increases sharply due to extensive precipitate formation .
Isolation and Identification of N -carbamoyl-β- d -glucopyranosylamine from Human Serum (2002)

N-carbamoyl-beta-D-glucopyranosylamine (NCG) is a compound, which can chemically be synthesized by the condensation of glucose and urea by heating under acidic condition. In this study, we isolated and identified NCG and its anomer from human serum. This is the first study showing the occurrence and isolation of NCG from a natural source. The NCG level in human serum was estimated to be 71+/-33 microM using a glucose-3-dehydrogenase-based assay. Because NCG is not commercially used in foods or drugs, we conclude that the NCG isolated from human serum is synthesized from blood glucose and urea in vivo.
Effects of sleep deprivation on human immune functions (1989)

The effect of 40 h of wakefulness on a variety of immunological parameters in the peripheral blood from 10 normal male subjects was studied. Sleep deprivation led to enhanced nocturnal plasma interleukin 1-like and interleukin 2-like activities. The rise in nocturnal response of lymphocytes to pokeweed mitogen stimulation during a normal 24 h sleep-wake cycle was delayed by sleep deprivation, but the response to the phytohemagglutinin mitogen was unaffected. With resumed nocturnal sleep, there was a prolonged decline in natural killer cell activity (measured as spontaneous cytolytic activity for human tumor cells) and return of an increased response to pokeweed mitogen. The altered patterns in immune functions occurred independently of the cortisol circadian rhythm, which remained unchanged.
Sequence Blockiness Controls the Structure of Polyampholyte Necklaces (2021)

A scaling theory of statistical (Markov) polyampholytes is developed to understand how sequence correlations, that is, the blockiness of positive and negative charges, influences conformational behavior. An increase in the charge patchiness leads to stronger correlation attractions between oppositely charged monomers, but simultaneously, it creates a higher charge imbalance in the polyampholyte. A competition between effective short-range attractions and long-range Coulomb repulsions induces globular, pearl-necklace, or fully stretched chain conformations, depending on the average length of the block of like charges. The necklace structure and the underlying distribution of the net charge are also controlled by the sequence. Sufficiently long blocks allow for charge migration from globular beads (pearls) to strings, thereby providing a nonmonotonic change in the number of necklace beads as the blockiness increases. The sequence-dependent structure of polyampholyte necklaces is confirmed by molecular dynamics simulations. The findings presented here provide a framework for understanding the sequence-encoded conformations of synthetic polyampholytes and intrinsically disordered proteins (IDPs).
Statistical learning of geometric characteristics of wireless networks (2019)

Motivated by the prediction of cell loads in cellular networks, we formulate the following new, fundamental problem of statistical learning of geometric marks of point processes: An unknown marking function, depending on the geometry of point patterns, produces characteristics (marks) of the points. One aims at learning this function from the examples of marked point patterns in order to predict the marks of new point patterns. To approximate (interpolate) the marking function, in our baseline approach, we build a statistical regression model of the marks with respect to some local point distance representation. In a more advanced approach, we use a global data representation via the scattering moments of random measures, which build informative and stable to deformations data representation, already proven useful in image analysis and related application domains. In this case, the regression of the scattering moments of the marked point patterns with respect to the non-marked ones is combined with the numerical solution of the inverse problem, where the marks are recovered from the estimated scattering moments. Considering some simple, generic marks, often appearing in the modeling of wireless networks, such as the shot-noise values, nearest neighbour distance, and some characteristics of the Voronoi cells, we show that the scattering moments can capture similar geometry information as the baseline approach, and can reach even better performance, especially for non-local marking functions. Our results motivate further development of statistical learning tools for stochastic geometry and analysis of wireless networks, in particular to predict cell loads in cellular networks from the locations of base stations and traffic demand.
220 nm Wideband, 1.45 µm Band Wavelength-Swept Laser with Two Semiconductor Optical Amplifiers (2022)

We report 1.45 µm band wavelength-swept laser using two semiconductor optical amplifiers (SOAs) and a polygonal mirror scanning wavelength filter. We have achieved 220 nm scanning bandwidth from 1348 nm to 1568 nm.
Structure and Conformation of Zosteraphenols, Tetracyclic Diarylheptanoids from the Seagrass Zostera marina: An NMR and DFT Study (2019)

Zosteraphenols, two new tetracyclic diarylheptanoids were isolated from the seagrass <i>Zostera marina</i>. The rotameric equilibrium of the strained tetracyclic structures, involving a diastereomeric minor rotamer with opposite axial chirality, resulted in coalescent NMR spectra. Although the elusive minor rotamer was only characterized with <sup>1</sup>H chemical shifts, the excellent agreement between experimental and DFT-calculated chemical shifts of both rotamers unequivocally supported this analysis. Absolute configuration of zosteraphenols was determined by DFT prediction of their ECD spectra.
State-of-the-art monitoring in treatment of dengue shock syndrome: a case series (2016)

The results from these cases demonstrate a new variation in the diagnostic capability to manage patients with dengue shock syndrome. The findings shed new light on a method that can avoid possible adverse effects of shock by noninvasive measurement of a patient's compensatory reserve rather than standard vital signs or invasive diagnostic methods.
Multiplexed analysis of EV reveals specific biomarker composition with diagnostic impact (2023)

Exosomes and extracellular vesicles (EV) are increasingly being explored as circulating biomarkers, but their heterogenous composition will likely mandate the development of multiplexed EV technologies. Iteratively multiplexed analyses of near single EVs have been challenging to implement beyond a few colors during spectral sensing. Here we developed a multiplexed analysis of EV technique (MASEV) to interrogate thousands of individual EVs during 5 cycles of multi-channel fluorescence staining for 15 EV biomarkers. Contrary to the common belief, we show that: several markers proposed to be ubiquitous are less prevalent than believed; multiple biomarkers concur in single vesicles but only in small fractions; affinity purification can lead to loss of rare EV subtypes; and deep profiling allows detailed analysis of EV, potentially improving the diagnostic content. These findings establish the potential of MASEV for uncovering fundamental EV biology and heterogeneity and increasing diagnostic specificity.
ChemInform Abstract: Conformationally Restricted 1,5‐Diarylpyrazoles are Selective COX‐2 Inhibitors. (1997)

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.
Survey of Literature (2006)

Sexual functioning is a common and multidimensional problem, associated with multiple biological, medical, psychological, sociocultural, political, economic, and interpersonal factors.The study was planned to determine the prevalence and risk factors for low sexual function in women in an outpatient clinic of a university hospital in Istanbul.Totally, 1,009 women over 20 years of age or their healthy female companions were interviewed in the outpatient clinics of the Department of Internal Medicine in a university hospital in Istanbul.Female Sexual Function Index (FSFI) was used to evaluate sexual function.The mean age of women was 38.62 ± 12.82 and 22.2% of women were postmenopausal. The mean FSFI score was found to be 24.25 ± 9.50 out of a maximum total score of 36. Based on the total FSFI score, 43.4% of the women had scores less then 26. The mean domain scores were: desire 3.14 ± 1.47, arousal 3.60 ± 1.85, lubrication 4.53 ± 2.01, orgasm 4.02 ± 1.97, satisfaction 4.27 ± 1.64, and pain 4.69 ± 1.96 out of a maximum domain score of six. The rate of low sexual function by the age groups were 22% for those 20–29 years, 39.7% for those 30–39 years, 50.2% for those 40–49 years, 71.3% for those 50–59 years, 82.9% for those 60–64 years, and 87.8% for those 65 and over. Lower educational level, menopause, depression, presence of sexual dysfunction in their partner, and contraceptive use were found to be significantly associated with low sexual function in women.The prevalence of low sexual function in women was found to significantly increase with age. The most significantly affected domains were desire and arousal followed by orgasmic problems, satisfaction, and pain, respectively. Aslan E, Beji NK, Gungor I, Kadioglu A, and Dikencik BK. Prevalence and risk factors for low sexual function in women: A study of 1,009 women in an outpatient clinic of a university hospital in Istanbul. J Sex Med 2008;5:2044–2052.
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking (2021)

An effective understanding of the environment and accurate trajectory prediction of surrounding dynamic obstacles are indispensable for intelligent mobile systems (e.g. autonomous vehicles and social robots) to achieve safe and high-quality planning when they navigate in highly interactive and crowded scenarios. Due to the existence of frequent interactions and uncertainty in the scene evolution, it is desired for the prediction system to enable relational reasoning on different entities and provide a distribution of future trajectories for each agent. In this paper, we propose a generic generative neural system (called STG-DAT) for multi-agent trajectory prediction involving heterogeneous agents. The system takes a step forward to explicit interaction modeling by incorporating relational inductive biases with a dynamic graph representation and leverages both trajectory and scene context information. We also employ an efficient kinematic constraint layer applied to vehicle trajectory prediction. The constraint not only ensures physical feasibility but also enhances model performance. Moreover, the proposed prediction model can be easily adopted by multi-target tracking frameworks. The tracking accuracy proves to be improved by empirical results. The proposed system is evaluated on three public benchmark datasets for trajectory prediction, where the agents cover pedestrians, cyclists and on-road vehicles. The experimental results demonstrate that our model achieves better performance than various baseline approaches in terms of prediction and tracking accuracy.
Nuclear Fuels Technologies Fiscal Year 1998 Research and Development Summary of Test Results (1998)

In FY98, many research and development activities occurred at Los Alamos National Laboratory in support of the Department of Energy Office of Fissile Materials Disposition (DOE-MD) program for the irradiation of excess weapons-grade plutonium as MOX fuel (i.e., reactor-based disposition). The primary purpose of these activities was to conduct studies involving feed qualification, as well as supporting fuel fabrication and analytical methods development. The research focused on four main areas of research: feed qualification/supply, fuel fabrication development, analytical methods development, and the gallium removal system. The purpose of feed qualification/supply was to define and develop the processes, equipment, and specifications for producing the UO<sub>2</sub> and PuO<sub>2</sub> feeds needed to qualify MOX fuel. The fuel fabrication and development activities included identifying and possibly resolving technical issues associated with applying the large experience base obtained by making MOX fuel with recycle reactor-grade plutonium to the fabrication of MOX with surplus weapons plutonium. The analytical methods tasks were designed to continue the development of analytical techniques in conjunction with the fabrication of MOX fuel. Finally, the purpose of the gallium removal system activities was to study ways to remove and the effects of gallium in preparing weapons-grade plutonium for use in MOX fuel. This report summarizes the progress made in FY98 in each of these areas of research.
A 6.5GHz 54mW 64-bit Parity-Checking Adder for 65nm Fault-Tolerant Microprocessor Execution Cores (2007)

This paper describes a parity-checking fault-tolerant adder designed for 6.5 GHz operation with total power consumption of 54 mW, targeted for 65 nm 64-bit microprocessor execution cores. The adder is fully self-checking and guarantees 100% coverage of single-faults (including multi-bit output errors originating from single-faults) on any sequential/combinational node in the design. The sparse-tree design enables partial pre-computation of the critical carry-parities, resulting in 33% reduction in parity-computation delay overhead with a low 6% area overhead for fault-detection.
Microwave Processing of Polymeric Materials (1992)

Microwave energy is a potentially fast and efficient means of energy for various materials. The coupling of microwave energy into materials during processing involves much more than just shortening the heat-up time relative to conventional processing and it has the potential to provide an additional degree of control over morphology, structure, and mechanical behavior. This report summarizes a multidisciplinary research program sponsored by the Defense Advance Research Project Agency (DARPA) which has been managed by the Materials Directorate, Wright Laboratory, and the Army Research Office. Many fundamental issues relating to the influence of microwave energy on chemistry and mechanical behavior have been investigated and are reported herein. Technology development has been particularly focused on polymeric and composite materials processing. The research has included efforts at two universities, Virginia Polytechnic Institute and State University and Michigan State University. Research has also been conducted at the Materials Directorate, Wright Laboratory, the Foster Miller Company and the Aerospace Materials Development group at McDonnell Douglas.
Quality evaluation of Lippmann-type hologram using CGH (2008)

Dai Nippon Printing Co., Ltd. (DNP, Tokyo, Japan) has succeeded in recording Lippmann holograms with an image of Computer-Generated Holograms (CGHs). As Lippmann holograms are usually made by real three-dimensional object, design variation of the objects are restricted by the possibility of manufacturing the object. On the other hand, as CGHs are made by computer graphics (CG), many different kinds of virtual images can be built into holographic images. Also, it has very fine resolution because it is made by the Electron-Beam lithography system. By incorporating the image expression of the CGH into Lippmann hologram, we have developed a new hologram combining both CGHs and the Lippmann holograms.
Immunophenotypic features distinguishing familial chronic lymphocytic leukemia from sporadic chronic lymphocytic leukemia (2008)

We conclude that detection of CD2 or CD13 expression in CLL suggests familial CLL and examination of family history for additional affected members is warranted. Furthermore, CD38 expression does not carry the negative prognosis observed in sporadic CLL.
Predicting Relative Prominence in Noun-Noun Compounds (2011)

There are several theories regarding what influences prominence assignment in English noun-noun compounds. We have developed corpus-driven models for automatically predicting prominence assignment in noun-noun compounds using feature sets based on two such theories: the informativeness theory and the semantic composition theory. The evaluation of the prediction models indicate that though both of these theories are relevant, they account for different types of variability in prominence assignment. 1
Vacancy defects in UV‐transparent HVPE‐AlN (2014)

Abstract We used positron annihilation spectroscopy to study bulk AlN single crystals grown by physical vapor transport (PVT) and hydride vapor phase epitaxy (HVPE). Unlike in previous measurements in AlN, we see a clear Alvacancy related lifetime component already at room temperature in HVPE‐AlN. Overall, our results show the more UV‐transparent HVPE‐AlN to have higher concentration of Al‐vacancy related defects than PVT‐AlN, suggesting that Al‐vacancies are not the origin of UV absorption in AlN. (© 2014 WILEY‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)
Design and Synthesis of [(2,3-Dichlorophenyl)piperazin-1-yl]alkylfluorenylcarboxamides as Novel Ligands Selective for the Dopamine D3 Receptor Subtype (2002)

ADVERTISEMENT RETURN TO ISSUEPREVAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionDesign and Synthesis of [(2,3-Dichlorophenyl)piperazin-1-yl]alkylfluorenylcarboxamides as Novel Ligands Selective for the Dopamine D3 Receptor SubtypeMichael J. Robarge, Stephen M. Husbands, Andrzej Kieltyka, Robbin Brodbeck, Andrew Thurkauf, and Amy Hauck NewmanCite this: J. Med. Chem. 2002, 45, 18, 4056Publication Date (Web):July 30, 2002Publication History Published online30 July 2002Published inissue 1 August 2002https://pubs.acs.org/doi/10.1021/jm020255ihttps://doi.org/10.1021/jm020255icorrectionACS PublicationsCopyright © 2002 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views362Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (14 KB) Get e-Alertsclose Get e-Alerts
Fabrication and performance of submicron silicon MESFET (1978)

Micron and submicron gate length silicon MESFET devices and circuits have been successfully fabricated using electron beam direct slice writing and a newly developed high density structure which self-aligns the active channel, source-drain, and contacts to the field oxide. Device characteristics of 1/4, 3/4, and 1 micron gate lengths show good square law behavior. In addition, measurements of 15-stage enhancement logic ring oscillators with 1 micron gate lengths show switching speeds of 1 to 2 nanoseconds with speed-power products of 1 to 5 femto Joules.
Scene text recognition with high performance CNN classifier and efficient word inference (2016)

The recognition of text in natural scene images is a practical yet challenging task due to the large variations in backgrounds, textures, fonts, and illumination conditions. In this paper, we propose a highly accurate character recognition model by utilizing the representational power of a specially designed Convolutional Neural Network (CNN). Based on the recognition model, we also develop an efficient post processing approach for error correction and hypothesis re-verification. Character and word image recognition experiments on two public datasets, namely the ICDAR 2003 Robust Reading dataset and the Street View Text (SVT) dataset both show that the proposed approach provides superior or comparable results to the state-of-the-art techniques.
CRYSTAL STRUCTURE OF HUMAN METHIONINE AMINOPEPTIDASE-2 IN COMPLEX WITH AN INHIBITOR Thiophene-2-sulfonic acid (4-fluoro-benzyl)-(4H-[1,2,4]triazol-3-ylmethyl)-amide (2019)

Co- and post-translational processing are crucial maturation steps to generate functional proteins. MetAP-2 plays an important role in this process, and inhibition of its proteolytic activity has been shown to be important for angiogenesis and tumor growth, suggesting that small-molecule inhibitors of MetAP-2 may be promising options for the treatment of cancer. This work describes the discovery and structure-based hit optimization of a novel MetAP-2 inhibitory scaffold. Of critical importance, a cyclic tartronic diamide coordinates the MetAP-2 metal ion in the active site while additional side chains of the molecule were designed to occupy the lipophilic methionine side chain recognition pocket as well as the shallow cavity at the opening of the active site. The racemic screening hit from HTS campaign 11a was discovered with an enzymatic IC<sub>50</sub> of 150 nM. The resynthesized eutomer confirmed this activity and inhibited HUVEC proliferation with an IC<sub>50</sub> of 1.9 μM. Its structural analysis revealed a sophisticated interaction pattern of polar and lipophilic contacts that were used to improve cellular potency to an IC<sub>50</sub> of 15 nM. In parallel, the molecular properties were optimized on plasma exposure and antitumor efficacy which led to the identification of advanced lead 21.