gebhart/patrepeval huggingface dataset:
Emergence of Interlayer Coherence in Twist-Controlled Graphene Double Layers (2022)

We report enhanced interlayer tunneling with reduced linewidth at zero interlayer bias in a twist-controlled double monolayer graphene heterostructure in the quantum Hall regime, when the top (ν_{T}) and bottom (ν_{B}) layer filling factors are near ν_{T}=±1/2,±3/2 and ν_{B}=±1/2,±3/2, and the total filling factor ν=±1 or ±3. The zero-bias interlayer conductance peaks are stable against variations of layer filling factor, and signal the emergence of interlayer phase coherence. Our results highlight twist control as a key attribute in revealing interlayer coherence using tunneling.
Biodistribution and radiation dosimetry of Flutemetamol (18F) injection in Japanese healthy volunteers (2012)

1510 Objectives Flutemetamol (18F) Injection is a radiopharmaceutical under development by GE Healthcare for amyloid plaque detection. The biodistribution and radiation dosimetry profiles of this radiopharmaceutical have been assessed in Japanese healthy volunteers (HVs). Methods The biodistribution of 18F following the intravenous administration of Flutemetamol (18F) Injection was measured in 6 healthy adult Japanese males using PET imaging and assays of 18F activity in whole blood, plasma and urine. Whole-body mages were acquired on a GE Discovery PET-CT scanner at up to 12 time points to 4 hours post-injection. 18F activity content was quantified at these time points in up to 15 source regions. 18F activity in red bone marrow was estimated from that measured in the lumbar vertebrae. Normalised cumulated activities (NCAs) were evaluated and organ absorbed doses calculated following the MIRD schema using the OLINDA/EXM software. The effective dose E was calculated. Results Biodistribution Initial 18F activity was primarily in liver (16.5%), brain (8.4%) and lung (7.7%). The three source regions with the highest NCAs were liver (0.520 MBq h/MBq), urinary bladder contents (0.398 MBq h/MBq) and small intestine contents (0.201 MBq h/MBq). Excretion of activity was primarily renal with 40% excreted through this pathway and 32% of the injected 18F activity excreted into the intestinal contents. Dosimetry The three organs / tissues with the highest absorbed doses were urinary bladder wall (0.114 mGy/MBq), kidneys (0.075 mGy/MBq) and liver (0.069 mGy/MBq). The E was 0.026 mSv/MBq. Conclusions There is a high brain uptake of [18F]flutemetamol, thus requiring only 185 MBq administered activity for imaging. This administered activity yields an effective dose of 4.8 mSv. The dosimetry profile of Flutemetamol (18F) Injection is comparable to most PET diagnostic radiopharmaceuticals
A 10-bit, 200-MSPS, 105-mW pipeline A-to-D converter (2005)

The optimum bit/stage configuration is an important issue in the design of a low-power pipeline analog-to-digital converter (ADC). Prior to this work, power considerations based on a linear-model have been reported [1]. In this letter, the slew-rate limitation, a non-linear effect, is taken into consideration in low-power design. In the case of a 10-bit, 200-MSPS ADC using 90-nm CMOS technology, the lowest power bit-arrangement was found to be 1.5bit/stage. A test chip was fabricated for confirmation, and a power dissipation of 105mW was achieved.
α(6H)-SiC pressure sensors for high temperature applications (2002)

A batch-microfabricated 6H-SiC diaphragm-based piezoresistive pressure sensors with working temperature range between 80/spl deg/F to 500/spl deg/F had been produced. The net output voltage shows an output voltage of 131.59 mV at full-scale pressure of 1000 psi. The net output voltage response to temperature up to 500/spl deg/F is also presented. The Temperature Coefficient of Resistance (TCR) of the device exhibits a TCR of -3.07%/100/spl deg/F at 180/spl deg/F and eventually becomes a positive value of 4.24%/100/spl deg/F at 500/spl deg/F. The Temperature Coefficient of Gage Factor (TCGF) exhibits negative values of -15%/100/spl deg/F and -10%/100/spl deg/F at 180/spl deg/F and 500/spl deg/F, respectively. The problem of micropipes in 6H-SiC was effectively resolved, making it possible to fabricate thin diaphragms of about 25 /spl mu/m.
Early indicators of exposure to biological threat agents using host gene profiles in peripheral blood mononuclear cells (2008)

Host gene expression patterns have the potential to serve as diagnostic markers or predict the course of impending illness and may lead to new stage-appropriate therapeutic strategies to ameliorate the devastating effects of exposure to biothreat agents.
Uniqueness and Robustness of Tem-Based FRI Sampling (2022)

In this paper, we study the problem of sampling finite-rate-of-innovation (FRI) signals by using an integrate-and-fire time encoding machine. We consider a Fourier-domain reconstruction approach and design a robust sampling kernel that has a frequency-domain alias cancellation condition and excludes the zero frequency. In the absence of noise, we present theoretical recovery guarantees for FRI signals with arbitrary pulse shapes using our approach. We show that the minimum firing rate is proportional to the rate of innovation of the FRI signal. In the presence of noise, our technique results in 2−10 dB lower error while estimating the FRI parameters compared to existing methods for the same number of measurements.
ChemInform Abstract: Benzdiynes and Related Dehydroaromatics (2010)

Abstract Review: ca. 70 refs.
The Effect of Acetabular Rim Recession on Anterior Acetabular Coverage (2015)

The false-profile view is recommended in the perioperative workup for all patients undergoing arthroscopic treatment of pincer impingement.
Application of Stratigraphic Forward Modelling to Carbonate Reservoir Characterization – A New Paradigm from the Albion R&D Project (2020)

Abstract Improving carbonate reservoir prediction, field development and production forecasts, especially in zones lacking data, requires novel reservoir modelling approaches including process-based methods. Classical geostatistic modelling methods alone cannot match this challenge, in particular if subtle stratigraphic architectures or sedimentary and diagenetic geometries, not directly identified as properties with well data, control the reservoir heterogeneity. Stratigraphic forward modelling approaches can provide pertinent information to carbonate reservoir characterization. Integrating carbonate stratigraphic forward models in reservoir modelling workflows faces two sets of challenges: (1) the difficulty to establish high resolution and multi-scales continuous reservoir analogues from outcrops and (2) the development of forward modelling methods adapted to carbonate heterogeneity and calibrated to well data. The ALBION R&amp;D Project dedicated to the Lower Cretaceous rudist-rich carbonate platform meets these two considerable scientific challenges. This workflow builds on previous modelling approaches at basin scale that integrates seismic inversion and forward modelling. This project delivers deterministic high-resolution static models that support the development of process-based modelling solutions. This multidisciplinary approach focuses on the characterization of primary sedimentary and diagenetic overprint that can impact drastically the flow behavior at inter-well scales in similar reservoir units such as the Kharaib and Shuaiba Formations. The SED-RES modelling package developed in house by Total R&amp;D has been tested and calibrated with these high-resolution stratigraphic outcrop models. It allows valid prediction of carbonate facies associations mimicking the spatial distribution mapped along the Urgonian platform transects.
Cloth Simulation with Adaptive Force Model in Three-Dimensional Space (2018)

An adaptive force model is proposed to achieve better performance between the accuracy and the speed of cloth simulation in three-dimensional (3D) space. The proposed force model can be expressed with a general mathematical form demonstrated by the distance between the clothing and the human body. This paper defines how a continuous adaptive area can be established with a shape “block”. It is clarified that, within a specific block, a force model is expressed with the gravity of the clothing, the forces of the adjacent blocks and the anti-force of the human body to the block. In this manner, the force model of the desired clothing can be obtained through a general mathematical expression. The simulations and experimental results demonstrate that the acceptable clothing simulation in 3D space can be achieved with higher speed by saving about 20.2% runtime, and the efficiency of the proposed scheme can be verified.
Optimization and approximation techniques for data streaming queries (2006)

The pervasive use of the internet and other networking infrastructures in everyday life gave rise to a new kind of applications in which data is streaming from its sources. Such applications come with a new set of data management problems that inspired a body of research focusing on the development of systems to manage streaming data. The focus of this dissertation is on query optimization and approximation techniques for data streaming queries. 
The first part of the thesis is concerned with providing a framework for optimizing declarative data streaming queries. The proposed optimization framework is designed to address the specific requirements for the data streaming model. It integrates load shedding for managing resources in case of an overload into the optimization process. The effectiveness of our optimizer is experimentally validated and the results show the promise of this approach. 
The second part of the thesis focusses on random load shedding alternatives for the streaming window join operator. In particular it explores he benefits of partial processing of all input tuples as opposed to randomly selecting a subset of the input to completely process. We mathematically model all alternatives and use the model to analytically compare them. We then implement them in the STREAM open source system and experimentally compare their performance. 
For the third part of the thesis, we, complete the analysis of CPU-limited load shedding of the streaming window join by exploring semantic load shedding techniques in which the load shedding decision is determined based on the contents of the tuple rather than through a random process. Such techniques are useful when enough information about the input data distribution is available. We explore the utility of these techniques by comparing their performance to previously proposed random ones.
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022 (2023)

This paper describes our participation in the 2022 TREC NeuCLIR challenge. We submitted runs to two out of the three languages (Farsi and Russian), with a focus on first-stage rankers and comparing mono-lingual strategies to Adhoc ones. For monolingual runs, we start from pretraining models on the target language using MLM+FLOPS and then finetuning using the MSMARCO translated to the language either with ColBERT or SPLADE as the retrieval model. While for the Adhoc task, we test both query translation (to the target language) and back-translation of the documents (to English). Initial result analysis shows that the monolingual strategy is strong, but that for the moment Adhoc achieved the best results, with back-translating documents being better than translating queries.
Numerical simulation of magnetization process in epitaxial Co2MnSi∕Cr∕Co2MnSi trilayers with oscillatory interlayer coupling (2007)

Numerical simulation is carried out to investigate the magnetization process of epitaxial Co2MnSi∕Cr∕Co2MnSi trilayers with oscillatory interlayer exchange coupling. A series of the magnetization curves is successfully fitted by using a very simple model, in which the absent 180° coupling is assumed while 90° coupling and the lowest order cubic anisotropy are considered. The 90° coupling energy and the anisotropy constant can be uniquely determined, and it is revealed that the strength of 90° coupling decreases exponentially with the spacer layer thickness.
Minimum repeater count, size, and energy dissipation for gigascale integration (GSI) interconnects (2002)

Optimal repeater insertion in long interconnects is used to minimize the interconnect response time by mitigating the effects of resistance. The use of this scheme in future high clock frequency designs can lead to an alarming number of required repeaters as predicted by a compact expression for the total number of repeaters. Novel design equations, which significantly decrease the number and power dissipation of these drivers, are derived that minimize the repeater number, size, energy dissipation, or energy-delay product.
Diffusion and Interaction Dynamics of Individual Membrane Protein Complexes Confined in Micropatterned Polymer‐Supported Membranes (2012)

Micropatterned polymer-supported membranes (PSM) are established as a tool for confining the diffusion of transmembrane proteins for single molecule studies. To this end, a photochemical surface modification with hydrophobic tethers on a PEG polymer brush is implemented for capturing of lipid vesicles and subsequent fusion. Formation of contiguous membranes within micropatterns is confirmed by scanning force microscopy, fluorescence recovery after photobleaching (FRAP), and super-resolved single-molecule tracking and localization microscopy. Free diffusion of transmembrane proteins reconstituted into micropatterned PSM is demonstrated by FRAP and by single-molecule tracking. By exploiting the confinement of diffusion within micropatterned PSM, the diffusion and interaction dynamics of individual transmembrane receptors are quantitatively resolved.
High spectral efficiency modulation for high capacity transmission (2008)

We discuss the impact of amplification technologies, multi-level constellations and fiber nonlinearity on the spectral efficiency achievable in fiber-optic networks.
Fast and Effective Optimization of Statically Typed Object-Oriented (1998)

In this dissertation, we show how a relatively simple and extremely interprocedural optimization algorithm can be used to optimize many of the expensive features of statically typed, object-oriented languages -- in particular, C++ and Java. We present a new optimization algorithm, Rapid Type Analysis, and show that it is both in theory and in practice, and significantly out-performs other fast algorithms for virtual function call resolution. We present optimization algorithms for the resolution of virtual function calls, conversion of virtual inheritance to direct inheritance, elimination of dynamic casts and dynamic type checks, and removal of object synchronization. These algorithms are all presented within a common framework that allows them to be driven by the information collected by Rapid Type Analysis, or by some other type analysis algorithm. Collectively, the optimizations in this dissertation free the programmer from having to sacrifice modularity and extensibility for performance. Instead, the programmer can freely make use of the most powerful features of object-oriented programming, since the optimizer will remove unnecessary extensibility from the program.
Miscible Fluid Displacement in Rock Cores Evaluated with NMRT2Relaxation Time Measurements (2020)

NMR T2 relaxation times for fluids in a porous medium are, in principle, proportional to the relevant occupied pore size. Here, we exploit this relationship to monitor the pore size distribution occupied by methane (CH4) at 100 bar and room temperature in both sandstone and carbonate rock cores, while it is displaced by a range of miscible fluids: carbon dioxide (CO2), nitrogen (N2), nitrous dioxide (N2O), and helium (He). The process is then reversed, with methane being used to displace these injected fluids. Time-resolved T2 distributions are thus able to probe the preference of the methane for smaller or larger pores during these core-flooding processes. In the cases of CO2 and N2O, methane was found to preferentially occupy larger pores during both injection and displacement for both rock types. In the case of N2, no significant preferential pore size occupation was evident, whereas in the case of He, methane preferentially occupied smaller pores. For the fluids used in this work, preferential occupation of comparatively smaller pores during these displacement experiments correlated with a comparatively greater surface adsorption capacity.
Markers of sudden cardiac arrest in patients with severe respiratory infections (2014)

Introduction . The sudden cardiac arrest (SCA) in patients hospitalized due to severe respiratory infection is a stubborn problem. Often it occurs suddenly and outside the intensive care unit (ICU) [Dr. Carr et al. In-Hospital Cardiac Arrest Among Patients With Coexisting Pneumonia: A Report From The American Heart Association, Abstract of American Thoracic Society's 2011 International Conference in Denver]. However predictors of SCA are still unclear. Aims and objectives. The aim of the study was the analysis of SCA frequency in severe respiratory infection and studying of factors associated with it. Methods. 55 pts with severe respiratory infections in ICU and respiratory department were examined. Respiratory infections (severe pneumonias) were verified on the basis of existence of lung infiltrate according on a chest X-ray or CT-scans. All of the patients recieved additional oxygen or respiratory support, antibiotics and fluid resuscitation. Multifactorial regression analysis and the relative risk indicator were calculated. Results. Despite a carried-out intensive care 22 pts (40%) died. The sudden cardiac arrest occurred in 8 pts (36,3%), not because of septic shock or multiorgan dysfunction. All of patients at the time of SCA were in full consciousness, and the probable cause of SCA was the cardiac arrhythmia. The multiple regression analysis showed that the main predictors of SCA were the extended QT interval (RR=2,2 [1,3; 3;8]) and the low level of SpO2 (&amp;lt;90%) (RR=3,4 [2,7; 7;33]). Conclusion. The sudden cardiac arrest is a frequent complication of severe respiratory infections which major harbingers are the extended QT interval and the low level of SpO2. This problem demands further studying.
Automatic monitoring of the alignment and wear of vibration welding equipment (2023)

A vibration welding system includes vibration welding equipment having a welding horn and anvil, a host machine, a check station, and a welding robot. At least one displacement sensor is positioned with respect to one of the welding equipment and the check station. The robot moves the horn and anvil via an arm to the check station, when a threshold condition is met, i.e., a predetermined amount of time has elapsed or a predetermined number of welds have been completed. The robot moves the horn and anvil to the check station, activates the at least one displacement sensor, at the check station, and determines a status condition of the welding equipment by processing the received signals. The status condition may be one of the alignment of the vibration welding equipment and the wear or degradation of the vibration welding equipment.
The iodination of azetidinone thio compounds. unsym-Azetidinone disulfides from thiazolineazetidinones (1981)

The products of the reaction of thiazolineazetidinones with alkyl and aralkyl sulfenyl iodides (generated in situ) are hydrolysed to unsym-azetidinone disulfides.
Re: Role of Autonomous Androgen Receptor Signaling in Prostate Cancer Initiation is Dichotomous and Depends on the Oncogenic Signal (2011)

No AccessJournal of UrologyInvestigative Urology1 Dec 2011Re: Role of Autonomous Androgen Receptor Signaling in Prostate Cancer Initiation is Dichotomous and Depends on the Oncogenic Signal Anthony AtalaM.D. Anthony AtalaAnthony Atala More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2011.08.119AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Re: Role of Autonomous Androgen Receptor Signaling in Prostate Cancer Initiation is Dichotomous and Depends on the Oncogenic Signal." The Journal of Urology, 186(6), pp. 2493–2494 © 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 186Issue 6December 2011Page: 2493-2494 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.Metrics Author Information Anthony Atala More articles by this author Expand All Advertisement PDF downloadLoading ...
Supplementary Figure 2 from miR-31 Is a Broad Regulator of β1-Integrin Expression and Function in Cancer Cells (2023)

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The Magic of Heterogeneous Nanocatalysis in VLPC for Sustainable Organic Synthesis (2022)

Attaining cleaner and sustainable cutting-edge technology heading for synthetic organic chemistry is an emerging task in this new millennium to protect our environment. Continuous intellectual and laborious efforts toward this motto rewarded a pathway to harvest sunlight. Subsequently, harvesting sunlight and employing electronic photo materials as synergistic heterogeneous catalytic materials have drawn much attention in visible light photocatalysis (VLPC). This protocol offers a simple workup procedure; the catalysts are easily recyclable and reusable. Unlike other schools of synthetic chemistry, the heterogeneous nanocatalysis-based VLPC technology has emerged to great heights at a rapid phase by extending its portfolio in the various synthetic domains; this marvelous development will be discussed in this chapter.
SWAP: An EUV imager for solar monitoring on board of PROBA2 (2006)

PROBA2 is an ESA technology demonstration mission to be launched in 2007. The prime instrument on board of Proba2 is SWAP (Sun Watcher using Active Pixel System detector and Image Processing), a full disk solar imager with a bandpass filter centred at 17.5 nm (Fe IX–XI) and a fast cadence of ≈ 1 min. The telescope is based on an off‐axis Ritchey Chretien design while an extreme ultraviolet (EUV) enhanced APS CMOS will be used as a detector. As the prime goal of the SWAP is solar monitoring and advance warning of Coronal Mass Ejections (CME), on‐board intelligence will be implemented. Image recognition software using experimental algorithms will be used to detect CMEs during the first phase of eruption so the event can be tracked by the spacecraft without human intervention.