gebhart/patrepeval huggingface dataset:
Adenosine A2A Receptors Measured with [11C]TMSX PET in the Striata of Parkinson's Disease Patients (2011)

Adenosine A(2A) receptors (A2ARs) are thought to interact negatively with the dopamine D(2) receptor (D2R), so selective A2AR antagonists have attracted attention as novel treatments for Parkinson's disease (PD). However, no information about the receptor in living patients with PD is available. The purpose of this study was to investigate the relationship between A2ARs and the dopaminergic system in the striata of drug-naïve PD patients and PD patients with dyskinesia, and alteration of these receptors after antiparkinsonian therapy. We measured binding ability of striatal A2ARs using positron emission tomography (PET) with [7-methyl-(11)C]-(E)-8-(3,4,5-trimethoxystyryl)-1,3,7-trimethylxanthine ([(11)C]TMSX) in nine drug-naïve patients with PD, seven PD patients with mild dyskinesia and six elderly control subjects using PET. The patients and eight normal control subjects were also examined for binding ability of dopamine transporters and D2Rs. Seven of the drug-naïve patients underwent a second series of PET scans following therapy. We found that the distribution volume ratio of A2ARs in the putamen were larger in the dyskinesic patients than in the control subjects (p<0.05, Tukey-Kramer post hoc test). In the drug-naïve patients, the binding ability of the A2ARs in the putamen, but not in the head of caudate nucleus, was significantly lower on the more affected side than on the less affected side (p<0.05, paired t-test). In addition, the A2ARs were significantly increased after antiparkinsonian therapy in the bilateral putamen of the drug-naïve patients (p<0.05, paired t-test) but not in the bilateral head of caudate nucleus. Our study demonstrated that the A2ARs in the putamen were increased in the PD patients with dyskinesia, and also suggest that the A2ARs in the putamen compensate for the asymmetrical decrease of dopamine in drug-naïve PD patients and that antiparkinsonian therapy increases the A2ARs in the putamen. The A2ARs may play an important role in regulation of parkinsonism in PD.
Wideband tuning range frequency selective surface based on liquid crystal and tunable ability analysis (2016)

In this paper, a liquid crystal tunable frequency selective surface (FSS) in S-band is proposed. The relative permittivity of liquid crystal can be changed from 2.5 to 3.3, with the change of bias voltage applied to it. In that way, the FSS proposed in the paper has a tunable feature. The full-wave simulation of the tunable FSS is carried out in the paper and the equivalent circuit model (ECM) is extracted. The SPICE-based simulation results are consistent with the full-wave simulation, which verify the validity of the ECM of the FSS. The pass band shifts from 3.612 GHz to 3.954 GHz with a relative bandwidth of 9.04% when the bias voltage of liquid crystal changes.
Quantum States and Transitions in Weakly Connected Superconducting Rings (1967)

This paper reports the results of an experimental and phenomenological investigation of the static and dynamic behavior of weakly connected superconducting rings. The configuration is essentially a macroscopic superconducting ring of inductance $L$ incorporating a point contact as a weak link which determines the critical supercurrent in the ring, ${i}_{c}$. A phenomenological model for the stationary quantum states of the system as a function of an applied field is developed. The dynamic behavior is obtained directly from the time dependence of the applied fields. Experiments demonstrating both the stationary and the time-dependent magnetic behavior are described. The stationary behavior was obtained with a magnetometer incorporating a weakly connected ring as a sensor to measure the flux through the ring under test. The experimental results confirm the phenomenological model if the critical curr\`ent ${i}_{c}$ is greater than $\frac{{\ensuremath{\Phi}}_{0}}{2L(1+\ensuremath{\gamma})}$, where ${\ensuremath{\Phi}}_{0}=\frac{h}{2e}$ is the flux quantum and $\ensuremath{\gamma}$ is a material and geometric parameter which is usually small compared to unity. In the regime $L{i}_{c}&gt;\frac{{\ensuremath{\Phi}}_{0}}{2(1+\ensuremath{\gamma})}$, the quantum states are discrete, and the transitions between states are well defined and irreversible. If the critical current is not too large, the transitions generally occur only between adjacent states; that is, $\ensuremath{\Delta}k=\ifmmode\pm\else\textpm\fi{}1$. At large critical current, multiple quantum jumps are observed. On the other hand, if $L{i}_{c}&lt;\frac{{\ensuremath{\Phi}}_{0}}{2(1+\ensuremath{\gamma})}$, the quantum states merge into one another continuously and reversibly. In this case the magnetic behavior inthe neighborhood of the half-quantum points is related to the depairing or gapless regime in superconductivity. Measurements of the ac properties of the weakly connected ring at 30 MHz are interpreted directly in terms of the static properties under the influence of a time-varying applied field. In fact, no qualitative corrections to the theory are expected up to frequencies of the order of the superconducting energy gap.
Research on Decision‐Making of Complex Venture Capital Based on Financial Big Data Platform (2018)

The prediction of stock premium has always been a hot issue. By predicting stock premiums to provide a way for companies to respond to financial risk investments, companies can avoid investment failures. In this paper, under the financial big data platform, bootstrap resampling technology and long short‐term memory (LSTM) are used to predict the value of the stock premium within 20 months. First, using the theme crawler, jsoup page parsing, Solr search, and Hadoop architecture to build a platform for financial big data. Secondly, based on the block bootstrap resampling technology, the existing data information is expanded to make full use of the existing data information. Then, based on the LSTM network, the stock premium in 20 months is predicted and compared with the values predicted by support vector machine regression (SVR), and the SSE and R‐square average indicators are calculated, respectively. The calculation results show that the SSE value of LSTM is lower than SVR, and the R‐square value of LSTM is higher than SVR, which means that the effect of LSTM prediction is better than SVR. Finally, based on the forecast results and evaluation indicators of the stock premium, we provide countermeasures for the company’s financial risk investment.
(1R,2R,3S,4R)-1-(Acetylamino)-2,4,5-tris(acetyloxy)-1-((2S)-4-(benzyloxy)-5-oxo-2,5-dihydrofuran-2-yl)pentan-3-yl Acetate (2022)

Treatment of N-acetylneuraminic acid with excess base in the presence of benzyl bromide gives a polyhydroxylated 1,4 lactone which after acetylation gave the title compound in 20% overall yield. The structure of the product was confirmed by single crystal X-ray diffraction analysis, as well as FT-IR, NMR spectroscopic and HRMS analysis.
Additions and Corrections: A New Synthesis of Flavone Involving Cyclization via Displacement of Aromatic Chlorine. (1957)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAdditions and Corrections: A New Synthesis of Flavone Involving Cyclization via Displacement of Aromatic Chlorine.Philip Southwick and Jack KirchnerCite this: J. Am. Chem. Soc. 1957, 79, 24, 6579Publication Date (Print):December 1, 1957Publication History Published online19 May 2004Published inissue 1 December 1957https://doi.org/10.1021/ja01581a634Request reuse permissionsArticle Views58Altmetric-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 InReddit PDF (157 KB) Get e-Alertsclose Get e-Alerts
Adaptive rigidification of elastic solids (2022)

We present a method for reducing the computational cost of elastic solid simulation by treating connected sets of non-deforming elements as rigid bodies. Non-deforming elements are identified as those where the strain rate squared Frobenius norm falls below a threshold for several frames. Rigidification uses a breadth first search to identify connected components while avoiding connections that would form hinges between rigid components. Rigid elements become elastic again when their approximate strain velocity rises above a threshold, which is fast to compute using a single iteration of conjugate gradient with a fixed Laplacian-based incomplete Cholesky preconditioner. With rigidification, the system size to solve at each time step can be greatly reduced, and if all elastic element become rigid, it reduces to solving the rigid body system. We demonstrate our results on a variety of 2D and 3D examples, and show that our method is likewise especially beneficial in contact rich examples.
Complex autocorrelation function and energy spectrum by classical trajectory calculations (2004)

A quasiclassical method which enables evaluation of complex autocorrelation function from classical trajectory calculations is proposed. The method is applied for two highly excited nonlinearly coupled harmonic oscillators in regimes prevailed either by regular or chaotic classical motions. A good agreement of classical and quantum autocorrelation functions is found within short (Ehrnfest) time limit. Fourier transforms of the autocorrelation functions provide moderate resolved energy spectra, where classical and quantum results nearly coincide. The actual energy levels are obtained from approximate short-time autocorrelation functions with the help of filter diagonalization. This study is a follow up to our previous work [P. Zdanska and N. Moiseyev, J. Chem. Phys. 115, 10608 (2001)], where the complex autocorrelation has been obtained up to overall phase factors of recurrences.
SARS-CoV-2 Survivors With Chronic Health Conditions: A Pilot Study on “COVID Long-Haulers” (2022)

Objective: As the global pandemic resulting from this virus continues, surviving patients continue to report chronic symptoms long after a diagnosis of coronavirus disease (COVID-19). A pilot study was conducted with a convenient sample to ascertain the proper diagnostic testing for detecting chronic disease. Materials and Methods: A convenient group of nine patients were directed by their primary care physician to be evaluated based on a variety of symptoms being reported by those surviving the acute phase of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The patients who volunteered provided sonographic imaging data of the lungs, kidney, and heart. This modified sonographic assessment was completed in a Family Practice office, with a laptop ultrasound equipment system, a blood draw, as well as completion of the EuroQol (EQ-5D) questionnaire. The data were collected as part of the patients 3- to 4-month follow-up primary care visit. Results: In this cohort, six patients were diagnosed and were able to recover at home. The other three patients chose to undergo monoclonal antibody therapy. The two subgroups’ data are provided and describe the types of residual effects that some individuals continue to suffer. Conclusion: Those patients with residual symptoms of SARS-CoV-2 have been dubbed “COVID long-haulers.” This combination of diagnostic tests, specifically renal sonography, flow cytometry, and dynamic sonographic assessment, may hold promise for guiding the treatment and surveillance of these patients.
In0.5Ga0.5As/InAlAs Modulation-doped Field Effect Transistors on GaAs Substrates Grown by Low-Temperature Molecular Beam Epitaxy (1991)

We report on the lattice-mismatched growth and electrical properties of In 0.5 Ga 0.5 As/InAlAs modulation-doped heterostructures on GaAs substrates by molecular beam epitaxy using a wide-gap InAlAs graded buffer layer and low-temperature Molecular Beam Epitaxial growth at about 350°C. A drastic reduction in residual carrier accumulation has been achieved, and a high electron mobility at room temperature of 11100 cm 2 /V·s was obtained with an electron concentration of 3×10 12 /cm 2 . It was found that the cause of residual carrier accumulation is related to the growth interruption or temperature rise after the growth of the graded buffer layer. The fabricated Modulation-doped Field Effect Transistors showed low output conductance, good pinch-off characteristics and no kink effect. The higher transconductance of 270 mS/mm was also obtained.
Validated 90nm CMOS technology platform with low-k copper interconnects for advanced system-on-chip (SoC) (2003)

This paper presents a complete 90nm CMOS technology platform dedicated to advanced SoC manufacturing, featuring 16/spl Aring/ EOT-70nm transistors (standard process) or 21/spl Aring/-90nm transistors (Low Power process) as well as 2.5 or 3.3V I/O transistors, copper interconnects and SiOC low-k IMD (k=2.9). The main critical process steps are described and electrical results are discussed. Moreover, using advanced lithographic tools, fully functional 1 Mbit SRAM instances, based on a highly manufacturable 6T 1.36/spl mu/m/sup 2/ memory cell, have been processed. The cell is detailed and its features, both electrical and morphological, are discussed.
hESC-secreted proteins can be enriched for multiple regenerative therapies by heparin-binding (2013)

This work builds upon our findings that proteins secreted by hESCs exhibit pro-regenerative activity, and determines that hESC-conditioned medium robustly enhances the proliferation of both muscle and neural progenitor cells. Importantly, this work establishes that it is the proteins that bind heparin which are responsible for the pro-myogenic effects of hESC-conditioned medium, and indicates that this strategy is suitable for enriching the potentially therapeutic factors. Additionally, this work shows that hESC-secreted proteins act independently of the mitogen FGF-2, and suggests that FGF-2 is unlikely to be a pro-aging molecule in the physiological decline of old muscle repair. Moreover, hESC-secreted factors improve the viability of human cortical neurons in an Alzheimer's disease (AD) model, suggesting that these factors can enhance the maintenance and regeneration of multiple tissues in the aging body.
Viscosities and Normal Stress Coefficients of High Impact Polystyrene Fluids (1980)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Robert L. Kruse, John H. Southern; Viscosities and Normal Stress Coefficients of High Impact Polystyrene Fluids. J. Rheol. 1 December 1980; 24 (6): 755–763. https://doi.org/10.1122/1.549582 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentThe Society of RheologyJournal of Rheology Search Advanced Search |Citation Search
Fusion of frequency and spatial domain information for motion analysis (2004)

This work presents an approach to the analysis of multiple motions in video, which combines frequency and spatial domain information in a new manner. The tasks of interest are finding the number of moving objects, velocity estimation, object tracking, and motion segmentation. We propose a novel, hybrid approach, which avoids problems of spatial domain methods, like sensitivity to illumination changes or great computational cost, but also uses spatial information for precise object localization. Experiments with synthetic and real sequences, show both the possibilities and limitations of this approach.
Genetic architecture of natural variation of cardiac performance: from flies to Humans (2021)

Abstract Deciphering the genetic architecture of human cardiac disorders is of fundamental importance but their underlying complexity is a major hurdle. We investigated the natural variation of cardiac performance in the sequenced inbred lines of the Drosophila Genetic Reference Panel (DGRP). Genome Wide Associations Studies (GWAS) identified genetic networks associated with natural variation of cardiac traits which were used to gain insights as to the molecular and cellular processes affected. Non-coding variants that we identified were used to map potential regulatory non-coding regions, which in turn were employed to predict Transcription Factors (TFs) binding sites. Cognate TFs, many of which themselves bear polymorphisms associated with variations of cardiac performance, were also validated by heart specific knockdown. Additionally, we showed that the natural variations associated with variability in cardiac performance affect a set of genes overlapping those associated with average traits but through different variants in the same genes. Furthermore, we showed that phenotypic variability was also associated with natural variation of gene regulatory networks. More importantly, we documented correlations between genes associated with cardiac phenotypes in both flies and humans, which supports a conserved genetic architecture regulating adult cardiac function from arthropods to mammals. Specifically, roles for PAX9 and EGR2 in the regulation of the cardiac rhythm were established in both models, illustrating that the characteristics of natural variations in cardiac function identified in Drosophila can accelerate discovery in humans.
Investigation of amorphisation of germanium using modeling and experimental processes (2013)

Crystalline germanium substrates were amorphised to a depth of one micron by ion implantation of germanium ions at a series of relatively high energies and dose. Using the ion implantation modeling software TRIM, this paper compares the amorphisation results from the ion implantation simulations and experimental results from transmission electron microscopy (TEM) analysis of cross-sections of implanted samples. TEM cross-section micrographs show a clear boundary between amorphous and crystalline germanium. The effect of amorphisation of Ge on the subsequent formation of Nickel germanide is demonstrated and one significant issue is the increased depth of NiGe grains formed on a-Ge compared with c-Ge.
Supplementary Figure 1 from Resveratrol-Induced Apoptosis Is Mediated by Early Growth Response-1, Krüppel-Like Factor 4, and Activating Transcription Factor 3 (2023)

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Comment on progress in scandate cathodes (1989)

Emission capability and emission recovery after ion bombardment are discussed. Impregnated top-layer scandate cathodes show better performance than cathodes with a mixed matrix of tungsten and scandia and impregnated cathodes with a sputtered layer consisting of tungsten and scandia. The recovery of scandate cathodes has been considerably improved, and it has been shown that fast emission recovery after ion bombardment is most probably feasible at a cathode operating temperature of 950 degrees C/sub b/.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Adsorbed Proteins Influence the Biological Activity and Molecular Targeting of Nanomaterials (2007)

The possible combination of specific physicochemical properties operating at unique sites of action within cells and tissues has led to considerable uncertainty surrounding nanomaterial toxic potential. We have investigated the importance of proteins adsorbed onto the surface of two distinct classes of nanomaterials (single-walled carbon nanotubes [SWCNTs]; 10-nm amorphous silica) in guiding nanomaterial uptake or toxicity in the RAW 264.7 macrophage-like model. Albumin was identified as the major fetal bovine or human serum/plasma protein adsorbed onto SWCNTs, while a distinct protein adsorption profile was observed when plasma from the Nagase analbuminemic rat was used. Damaged or structurally altered albumin is rapidly cleared from systemic circulation by scavenger receptors. We observed that SWCNTs inhibited the induction of cyclooxygenase-2 (Cox-2) by lipopolysaccharide (LPS; 1 ng/ml, 6 h) and this anti-inflammatory response was inhibited by fucoidan (scavenger receptor antagonist). Fucoidan also reduced the uptake of fluorescent SWCNTs (Alexa647). Precoating SWCNTs with a nonionic surfactant (Pluronic F127) inhibited albumin adsorption and anti-inflammatory properties. Albumin-coated SWCNTs reduced LPS-mediated Cox-2 induction under serum-free conditions. SWCNTs did not reduce binding of LPS(Alexa488) to RAW 264.7 cells. The profile of proteins adsorbed onto amorphous silica particles (50-1000 nm) was qualitatively different, relative to SWCNTs, and precoating amorphous silica with Pluronic F127 dramatically reduced the adsorption of serum proteins and toxicity. Collectively, these observations suggest an important role for adsorbed proteins in modulating the uptake and toxicity of SWCNTs and nano-sized amorphous silica.
Resource allocation for energy harvesting-powered D2D communications underlaying cellular networks (2017)

Device-to-device communication and energy harvesting are both key technologies to improve spectrum and energy efficiency. In this paper, we investigate the resource allocation problem for the energy harvesting-powered D2D communication underlaying cellular networks, where D2D pairs firstly harvest energy and then transmit information signals. The goal is to maximize the sum throughput via joint time scheduling and power control while satisfying the SINR requirement of cellular user and taking into account the energy constraint. The formulated non-convex problem is transformed into a nonlinear fractional programming problem with a tactful reformulation. Coupled with D.C. (difference of two convex functions) programming, a near optimal solution of the non-convex problem can be obtained by iteratively solving a sequence of convex problems. Then, a first-order algorithm is employed to solve these convex problems. Numerical simulations are conducted to validate the effectiveness of the proposed algorithm and evaluate the system throughput performance.
NiFe2O4: A Versatile Spinel Material Brings New Opportunities for Spintronics (2006)

Ultrathin layers of the versatile spinel oxide NiFe2O4 can be conductive or insulating depending on the growth conditions. Conductive NiFe2O4 (NFO) electrodes are inserted into conventional magnetic tunnel junctions containing La2/3Sr1/3MnO3/SrTiO3 (LMSO/STO) bilayers, and insulating and ferrimagnetic NiFe2O4 layers are used as barriers to define a spin filter (see figure). The ability of such heterostructures to highly spin-polarize electrons injected from a non-magnetic electrode is demonstrated.
Area Array Package Design (2003)

This engineering reference covers the most important new techniques in electronic packaging: flip chip, BGA, and MEMs. Written by a team of world-class professionals and researchers, Area Array Package Design includes vital information necessary for the design of cutting-edge electronics products.
Table of contents

Preface
Chapter 1: Introduction to Electronic Packaging
Chapter 2: Trends/Drivers in the Electronics Manufacturing Industry
Chapter 3: Area Array Packaging
Chapter 4: Stacked/3D Packages
Chapter 5: Compliant IC Packaging
Chapter 6: Flip Chip Technology
Chapter 7: Options in High-Density Part Cleaning
Chapter 8: MEMS Packaging and Assembly Challenges
Chapter 9: Ceramic Ball and Column Grid Array Overview
INDEX