gebhart/patrepeval huggingface dataset:
Temperature-Programmed Assembly of DNA:Au Nanoparticle Bioconjugates (2008)

Temperature has been used to control the order of assembly events in a solution containing three types of particles to be linked by two\ndifferent sets of complementary DNA. At higher temperatures, only the duplexes having higher thermal stability were able to form. By starting\nat a high temperature and then cooling the sample, these more stable sequences hybridized first, followed by the less stable sequences at\nlower temperatures. Because of the use of thiolated DNA on Au particles, some loss and exchange of the DNA strands occurred at elevated\ntemperatures. However, since cooperativity favors the “correct” assemblies, Au−S bond lability did not appreciably impact the order of the\nassembly process. Temperature programming combines the selectivity of DNA-directed assembly with the ability to control the order in which\nseveral complementary strands hybridize in a common solution and could contribute to the synthesis of more complex nanostructured materials.
The Combined Effects of Television Viewing and Physical Activity on Cardiometabolic Risk Factors: The Kardiovize Study (2021)

The aim of the present study was to evaluate the association between television viewing/physical activity (TVV/PA) interactions and cardiometabolic risk in an adult European population. A total of 2,155 subjects (25-64 years) (45.2% males), a random population-based sample were evaluated in Brno, Czechia. TVV was classified as low (&amp;amp;lt;2hours/day), moderate (2-4), and high (&amp;ge;4). PA was classified as insufficient, moderate, and high. To assess the independent association of TVV/PA categories with cardiometabolic variables, multiple linear regression was used. After adjustments, significant associations were: high TVV/insufficient PA with body mass index (BMI) (&amp;beta;=2.61,SE=0.63), waist circumference (WC) (&amp;beta;=7.52,SE=1.58), body fat percent (%BF) (&amp;beta;=6.24,SE=1.02), glucose (&amp;beta;=0.25,SE=0.12), triglycerides (&amp;beta;=0.18,SE=0.05), and HDL-C (&amp;beta;=-0.10,SE=0.04); high TVV/moderate PA with BMI (&amp;beta;=1.98,SE=0.45), WC (&amp;beta;=5.43,SE=1.12), %BF (&amp;beta; =5.15,SE=0.72), triglycerides (&amp;beta; =0.08,SE=0.04), total cholesterol (&amp;beta;=0.21,SE=0.10), LDL-c (&amp;beta;=0.19,SE=0.08), and HDL-c (&amp;beta;=-0.07,SE=0.03); and moderate TVV/insufficient PA with WC (&amp;beta;=2.68,SE=1.25), %BF (&amp;beta;=3.80,SE=0.81), LDL-c (&amp;beta;=0.18,SE=0.09), and HDL-c (&amp;beta;=-0.07,SE=0.03). Independent of PA levels, higher TVV was associated with higher amounts of adipose tissue. Higher blood glucose and triglycerides were present in subjects with high TVV and insufficient PA, but not in those with high PA alone. These results affirm the independent cardiometabolic risk of sedentary routines even in subjects with high-levels of PA.
Approximate Dynamic Programming (2018)

This approach at deriving control strategies is successful under the assumption that the system dynamics can be modeled and are not changing over time. Optimal controllers fall in this category as they are generally determined considering a fixed given model of the system. The goal of an optimal control strategy is the minimization of a cost index, which reflects the amount of energy used for control purposes and the distance between the present and desired performance of the controlled system. Though they have good robustness properties relative to possible changes in the system dynamics, optimal controllers are neither adaptive nor are they determined considering possible unmodeled dynamics. From this perspective one can generally say that an optimal controller is just as close to optimality as the model of the system, used during the design phase, is close to the real plant to be controlled.
Cardiac magnetic resonance T2 relaxometry in acute myocarditis correlations with myocardial function and cardiac biomarkers (2015)

Background Myocarditis is a common inflammation of the myocardium with variable symptoms, which is in daily clinical routine quite difficult to diagnose. Cardiac magnetic resonance imaging assumes an increasingly important role in the diagnosis of myocarditis by their exact functional analysis and the possibility of representation of tissue changes. The aim of this clinical trial consists in the examination of the validity of cardiac biomarkers and cardiac function parameters in the context of magnetic resonance T2 signal intensity in myocarditis. Methods This retrospective study includes the collection of data from 39 patients (n = 39) with a confirmed myocarditis by magnetic resonance imaging (MRI). In addition, next to the main criterion of radiologically diagnosed myocarditis, elevated cardiac biomarkers (troponin or creatine kinase), increased CRP or increased NT-proBNP were regarded as an inclusion criterion. Results The maximum deflection of cardiac biomarkers showed a significant correlation with the T2 relaxation times in patients with myocarditis in the acute stage (CK: p> 0.034, r = 0.463; kTnT: p> 0.048, r = 0.384). The correlations between myocardial functional parameters and T2 relaxation times missed the statistical correlation level. Conclusions In summary, the obtained results show that calculated T2 relaxation times in MRI are directly related to the biochemical severity of myocarditis. T2-mapping in MRI
Joint Adaptive GOP and SCD Coding for Improving H.264 Scalable Video Coding (2007)

In order to concurrently provide different video services for diverse access devices, the scalable quality and complexity services in a single bit stream offered by H.264-based scalable video coding (H.264/SVC) has gained a lot of attentions recently. However, the motion-compensated temporal filtering (MCTF) structure consumes a large amount of operation time when combined with Core Experiment 2 (CE2), which implements adaptive GOP detection (AGD). Besides, a simple scene change detection (SCD) method is required to decrease the mis-position motion estimation and yield robust AGD. In this paper, we suggest a video content variation (VCV) feature to implement simple AGD and SCD methods by using block-based classification before executing MCTF. Based on the JSVM 7.0 software, the simulation results show that the proposed method not only reduces about 67% of the operation time consumed but also improves about 0.1 dB PSNR on average as compared to the CE2, where the proposed SCD can attain a detection rate of 89% to help for performance improvement.
Supplementary Figure 7 from The HER2- and Heregulin β1 (HRG)–Inducible TNFR Superfamily Member Fn14 Promotes HRG-Driven Breast Cancer Cell Migration, Invasion, and MMP9 Expression (2023)

&lt;p&gt;PDF file - 177K, Figure S7. HRG1-β1 stimulation increases MCF7/HER2-18 cell migration and invasion.&lt;/p&gt;
Bandgap control through reduction of bond length alternation in bridged poly(diethienylethylene)s (1997)

International audience
Three Methods for Training on Bandit Feedback (2019)

There are three quite distinct ways to train a machine learning model on recommender system logs. The first method is to model the reward prediction for each possible recommendation to the user, at the scoring time the best recommendation is found by computing an argmax over the personalized recommendations. This method obeys principles such as the conditionality principle and the likelihood principle. A second method is useful when the model does not fit reality and underfits. In this case, we can use the fact that we know the distribution of historical recommendations (concentrated on previously identified good actions with some exploration) to adjust the errors in the fit to be evenly distributed over all actions. Finally, the inverse propensity score can be used to produce an estimate of the decision rules expected performance. The latter two methods violate the conditionality and likelihood principle but are shown to have good performance in certain settings. In this paper we review the literature around this fundamental, yet often overlooked choice and do some experiments using the RecoGym simulation environment.
Power from marine currents (2002)

This paper describes the rationale and the engineering approach adopted for the development of technology for converting the kinetic energy in marine currents for large-scale electricity generation. Although the basic principles involved are relatively straightforward and well understood, being similar to those of a wind turbine, a practical and cost-effective large-scale system designed to extract the kinetic energy of flowing water has yet to be developed. This paper describes the research and development being undertaken through an industrial consortium with the aim of achieving this goal for the first time, i.e. to achieve the world's first commercially viable systems for delivering power from marine currents.
Atomically sharp non-classical ripples in graphene (2019)

A fundamental property of a material is the measure of its deformation under applied stress. After studying the mechanical properties of bulk materials for the past several centuries, with the discovery of graphene and other two-dimensional materials, we are now poised to study the mechanical properties of single atom thick materials at the nanoscale. Despite a large number of theoretical investigations of the mechanical properties and rippling of single layer graphene, direct controlled experimental measurements of the same have been limited, due in part to the difficulty of engineering reproducible ripples such that relevant physical parameters like wavelength, amplitude, sheet length and curvature can be systematically varied. Here we report extreme (>10%) strain engineering of monolayer graphene by a novel technique of draping it over large Cu step edges. Nanoscale periodic ripples are formed as graphene is pinned and pulled by substrate contact forces. We use a scanning tunneling microscope to study these ripples to find that classical scaling laws fail to explain their shape. Unlike a classical fabric that forms sinusoidal ripples in the transverse direction when stressed in the longitudinal direction, graphene forms triangular ripples, where bending is limited to a narrow region on the order of unit cell dimensions at the apex of each ripple. This non-classical bending profile results in graphene behaving like a bizarre fabric, which regardless of how it is pulled, always buckles at the same angle. Using a phenomenological model, we argue that our observations can be accounted for by assuming that unlike a thin classical fabric, graphene undergoes significant stretching when bent. Our results provide insights into the atomic-scale bending mechanisms of 2D materials under traditionally inaccessible strain magnitudes and demonstrate a path forward for their strain engineering.
Arnold Tongues in a Microfluidic Drop Emitter (2006)

The Letter reports an experimental study of microfluidic droplets produced in T junctions and subjected to a local periodic forcing. Synchronized and quasiperiodic regimes--organized into Arnold tongues and devil staircases--are reported for the first time for a system dedicated to drop emission. The nature of the dynamical regime controls the droplet characteristics. These phenomena are mostly controlled by the characteristics of the forcing and the flow conditions.
Reduction of nitro- and nitroso-compounds by tervalent phosphorus reagents. Part III. Kinetic study of the triethyl phosphite reduction of 2-nitrosobiphenyl to carbazole (1969)

The triethyl phosphite reduction of 2-nitrosobiphenyl to carbazole in triethyl phosphate as solvent is of the first order in both reactants; the activation energy is 11·56 kcal. mole–1, and the entropy of activation ΔS*, at 25° is –29 e.u. The similarity of these data to those obtained for the Menshutkin and Arbusov reactions indicates that the rate-determining step involves the formation of an intermediate complex involving both reagents, possibly (EtO)3P+–O––NAr, which then decomposes rapidly to give products. The possible intermediacy of a nitrene is neither proved or disproved.
A planar inductively coupled radio-frequency magnetic neutral loop discharge (2007)

A planar inductively coupled radio-frequency (rf) magnetic neutral loop discharge has been designed. It provides diagnostic access to both the main plasma production region as well as a remote plane for applications. Three coaxial coils are arranged to generate a specially designed inhomogeneous magnetic field structure with vanishing field along a ring in the discharge-the so-called neutral loop (NL). The plasma is generated by applying an oscillating rf electric field along the NL, induced through a four-turn, planar antenna operated at 13.56 MHz. Electron density and temperature measurements are performed under various parameter variations. Collisionless electron heating in the NL region allows plasma operation at comparatively low pressures, down to 10(-2) Pa, with a degree of ionization in the order of several per cent. Conventional plasma operation in inductive mode without applying the magnetic field is less efficient, in particular in the low pressure regime where the plasma cannot be sustained without magnetic fields.
Critical Communication: A Cross-sectional Study of Signout at the Prehospital and Hospital Interface (2020)

Introduction Miscommunication during patient handoff contributes to an estimated 80% of serious medical errors and, consequently, plays a key role in the estimated five million excess deaths annually from poor quality of care in low- and middle-income countries (LMICs). Objective The objective of this study was to assess signout communication during patient handoffs between prehospital personnel and hospital staff. Methods This is a cross-sectional study, with a convenience sample of 931 interfacility transfers for pregnant women across four states from November 7 to December 13, 2016. A complete signout, as defined for this study, contains all necessary signout elements for patient care exchanged verbally or in written form between an emergency medical technician (EMT) and a physician or nurse. Results Enrollment of 786 cases from 931 interfacility transfers resulted in 1572 opportunities for signout. EMTs and a physician or nurse signed out in 1549 cases (98.5%). Signout contained all elements in 135 cases (8.6%). The mean percentage of signout elements included was 45.2% (95% CI, 43.9-46.6). Physician involvement was correlated with a higher mean percent (63.4% [95% CI, 62-64.8]) compared to nurse involvement (23.6% [95% CI, 22.5-24.8]). With respect to the frequency of signout communication, 63.1% of EMTs reported often or always giving signout, and 60.5% reported often or always giving signout; they reported feeling moderately to very comfortable with signout (73.7%) and 34.1% requested further training. Conclusions Physicians, nurses, and the EMTs conducted signout 99% of the time but often fell short of including all elements required for optimal patient care. Interventions aimed at improving the quality of patient care must include strengthening signout communication.
A Case of Intracavernous Carotid Aneurysm Presenting with Visual Loss with No Oculomotor Disturbance (2012)

1 1 1 2 1 1 , 2 : .
Interval Type2 Fuzzy Logic-Based Power Sharing Strategy for Hybrid Energy Storage System in Solar Powered Charging Station (2021)

Energy storage systems in recent days are witnessing an increased trajectory of hybridization to decrease the burden on the single energy storage systems in renewable energy sources. The hybridization of energy storage imposes the need for an efficient power-sharing strategy. This article proposes the interval type2 fuzzy logic controller-based power-sharing strategy to utilize hybrid energy storages in the solar-powered charging station effectively. Under this study, the hybrid energy storage system consists of a battery and supercapacitor with solar power generation as a primary source. The battery supports the slow varying power and the supercapacitor supports the fast-varying power. Electric vehicles are connected as load and a multi-step constant current charging technique is proposed to charge its battery. In order to inject/absorb the power, the hybrid energy storage utilizes bidirectional DC-DC converters. The perturb and observe algorithm is used to track the maximum power from the solar panel. The proposed system is designed in MATLAB/Simulink platform and the real-time validation has been carried out through the dSPACE (DS1202) real-time processor. An obtained result demonstrates the performance of the interval type2 fuzzy logic controller-based power-sharing strategy under variable generation and load scenarios.
Microstructure–property relations of Mo- and W-alloyed super duplex stainless weld metals (1997)

AbstractAbstractThe microstructure and resulting properties of manual metal arc super duplex weld metals deposited using three different filler metals and two heat inputs were investigated using various techniques. Analytical transmission electron microscopy, electron probe microanalysis, and scanning electron microscopy were used to study the microstructure and Charpy V notch impact energy and different corrosion test methods were used to characterise the weld metal properties. The fillers were of approximate composition (wt-%) Fe-25.5Cr-(3–4)Mo-9.5Ni-0.25N; one filler had additions of tungsten and one had additions of tungsten plus copper. The effect of composition and heat input on secondary austenite γ2 formation was evaluated experimentally and the results interpreted in terms of a theoretical model for diffusion controlled austenite growth. The equilibrium conditions were calculated using the Thermo-Calc database. The formation of γ2 in the as welded condition appears to be promoted by a low nitrogen and high copper content. Short time aging heat treatments in the temperature range 700–1050°C were performed to establish the tendency of intermetallic phase to form in the different weld metals. The kinetics for intermetallic formation, evaluated using metallographical techniques, was analysed using an Avrami type of expression. Tungsten favours the precipitation of χ phase which in turn serves as a nucleation site for σ phase, making the tungsten alloyed weld metals less resistant to short term thermal exposure such as higher heat inputs during multipass welding. Room temperature Charpy V notch impact energy tests were performed on as welded and aged specimens. The results could be correlated to the observed microstructural differences. Determination of the critical temperature for pitting was used to characterise the influence of alloying elements and microstructure on corrosion resistance. It was concluded that the γ2 fraction affects the corrosion resistance in the as welded and short term aged specimens but the effect is overridden by the subsequent precipitation of χ phase and the particularly detrimental σ phase on prolonged aging. The largest differences between the investigated fillers were in the as welded short term aged condition, i.e. in the technically most critical time-temperature range.
The characteristics of wet gate oxide device and nitride oxide (NO) device (2003)

In this paper we fabricated and tested the 0.26 /spl mu/m NMOSFET with wet gate oxide and nitride oxide gate to compare that the characteristics of hot carrier effect, charge to breakdown, transistor Id_Vg curve, charge trapping, and SILC (stress induced leakage current) using the HP4145 device tester. As a result we find that the characteristics of nitride oxide gate device are better than wet gate oxide device, especially hot carrier lifetime (nitride oxide gate device has a lifetime of 30 years, but the lifetime of wet gate oxide was only 0.1 year), variation of Vg, charge to breakdown and charge trapping.
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors (2021)

Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as "neuromorphic engineering". However, analog circuits are sensitive to process-induced variation among transistors in a chip ("device mismatch"). For neuromorphic implementation of Spiking Neural Networks (SNNs), mismatch causes parameter variation between identically-configured neurons and synapses. Each chip exhibits a different distribution of neural parameters, causing deployed networks to respond differently between chips. Current solutions to mitigate mismatch based on per-chip calibration or on-chip learning entail increased design complexity, area and cost, making deployment of neuromorphic devices expensive and difficult. Here we present a supervised learning approach that produces SNNs with high robustness to mismatch and other common sources of noise. Our method trains SNNs to perform temporal classification tasks by mimicking a pre-trained dynamical system, using a local learning rule from non-linear control theory. We demonstrate our method on two tasks requiring temporal memory, and measure the robustness of our approach to several forms of noise and mismatch. We show that our approach is more robust than common alternatives for training SNNs. Our method provides robust deployment of pre-trained networks on mixed-signal neuromorphic hardware, without requiring per-device training or calibration.
Hand-held fractional exhaled nitric oxide measurements as a non-invasive indicator of systemic inflammation in Crohn's disease (2012)

This pilot study suggests that hand-held FeNO measurements could be an attractive non-invasive indicator of systemic inflammation in Crohn's disease.
Robust and Sensitive iTRAQ Quantification on an LTQ Orbitrap Mass Spectrometer (2008)

Isobaric stable isotope tagging reagents such as tandem mass tags or isobaric tags for relative and absolute quantification enable multiplexed quantification of peptides via reporter ion signals in the low mass range of tandem mass spectra. Until recently, the poor recovery of low mass fragments observed in tandem mass spectra acquired on ion trap mass spectrometers precluded the use of these reagents on this widely available instrument platform. The Pulsed Q Dissociation (PQD) technique allows negotiating this limitation but suffers from poor fragmentation efficiency, which has raised doubts in the community as to its practical utility. Here we show that by carefully optimizing instrument parameters such as collision energy, activation Q, delay time, ion isolation width, number of microscans, and number of trapped ions, low m/z fragment ion intensities can be generated that enable accurate peptide quantification at the 100 amol level. Side by side comparison of PQD on an LTQ Orbitrap with CID on a five-year old Q-Tof Ultima using complex protein digests shows that whereas precision of quantification of 10-15% can be achieved by both approaches, PQD quantifies twice as many proteins. PQD on an LTQ Orbitrap also outperforms "higher energy collision induced dissociation" on the same instrument using the recently introduced octapole collision cell in terms of lower limit of quantification. Finally, we demonstrate the significant analytical potential of iTRAQ quantification using PQD on an LTQ Orbitrap by quantitatively measuring the kinase interaction profile of the small molecule drug imatinib in K-562 cells. This article gives practical guidance for the implementation of PQD, discusses its merits, and for the first time, compares its performance to higher energy collision-induced dissociation.
Antidiabetic effect of Oenanthe javanica flavone. (2000)

OjF possessed the hypoglycemic and hypotriglyceride actions, mainly concerned with promoting release of insulin from B-cells in islets of langerhans.