gebhart/patrepeval huggingface dataset:
System performance of LTE and IEEE 802.11 coexisting on a shared frequency band (2013)

This paper presents the system performance analysis of 3GPP Long-Term Evolution (LTE) and IEEE 802.11 Wireless Local Area Networks (WLAN) in a situation where LTE downlink (DL) has been expanded over to unlicensed frequency band usually used by WLAN. Simple fractional bandwidth sharing mechanism is used to allow both technologies to transmit. The system performance is evaluated by means of fully dynamic network simulations.
Generation and Characterization of Phenylsulfanylcarbene (2004)

A photosensitive precursor (1) to phenylsulfanylcarbene 2 has been synthesized. Laser flash photolysis (308 nm) of 1 and chemical trapping studies of 2 are reported. [structure: see text]
NOMA: From concept to standardization (2015)

As a promising downlink multiple access scheme for LTE enhancements and 5G, non-orthogonal multiple access (NOMA) has been attracting a lot of attention in recent years. This paper introduces an overview of the concept, performance evaluation gains, our ongoing experimental trials and current standardization status. The goal is to clarify the benefits of NOMA over orthogonal multiple access (OMA) such as OFDMA adopted by Long-Term Evolution (LTE), also its combination with MIMO is discussed. Using computer simulations, NOMA performance gains are assessed from both link-level and system-level perspectives. Also, our NOMA testbed and the measurement results are explained. Finally, we summarize the current status of ongoing standardization of downlink NOMA, which is currently under study in 3GPP LTE Release 13.
Reluctance Force Magnetic Suspension Characteristics and Control for Cylindrical Rotor Bearingless Motors (2016)

In this paper, the modeling and control of reluctance-force-based magnetic suspension in cylindrical rotor, smooth air-gap bearingless motors are presented. The full suspension system dynamics, including both the destabilizing forces due to the motor field and the active magnetic suspension control forces, are modeled, and a transfer function of the bearingless motor suspension plant is derived. It is shown that the suspension system dynamics in a bearingless motor depend on the motor winding current amplitude. This requires the magnetic suspension controllers to address the changing system dynamics and to stabilize the suspension under different driving conditions. A controller design with its gains changing with the motor winding current amplitude is proposed. The derived model and the proposed controller design are verified by experiments with a hybrid hysteresis–induction type bearingless motor. It is shown that the derived mathematical model provides an effective basis for loop-shaping control design for the reluctance-force-based magnetic suspension systems in bearingless motors, and the proposed controller design can stabilize the rotor's suspension under varying excitation conditions.
Inverter Dead Time Compensation Method using On-Line tuning (2020)

In this paper, a method for dead time voltage compensation is proposed. The dead time is a period for preventing short circuits in the semiconductor power devices incorporated in inverters. Owing to this dead time, an error occurs in the output voltage of the inverter with respect to the voltage command. To suppress this error, a dead time compensation signal is generally added to the voltage command. However, the accuracy of the above-mentioned compensation control may be reduced because of the switching characteristics of the power device, transmission delay of the switching command, and so on. In the proposed method, to achieve highly accurate dead time compensation, the waveform of the compensation signal is formed based on a circuit model that assumes a virtual capacitor is connected to the semiconductor power device in parallel. In addition, an automatic adjustment method was proposed for parameters such as the capacitance of the virtual capacitor. The proposed method is validated experimentally.
Isocyanurate formation during rigid polyurethane foam assembly: a mechanistic study based on in situ IR and NMR spectroscopy (2018)

Unravelling the role and working principle of the catalyst.
All-optical switching in KTP with second order nonlinearities (1994)

Experimental results demonstrate the potential of all-optical switching using χ(2) nonlinearities. The switching irradiance scales as [χ(2)]-2, so that new organic crystals with χ(2) more than ten times that of KTP will significantly reduce switching irradiances. In addition, waveguide geometries will lead to further reductions in the switching irradiance. Considered here is an arrangement where an input 2ω wave having a phase, Δφ, with respect to the fundamental are both weakly focused into a KTP crystal.
Template Recognition by an RNA-Dependent RNA-Polymerase: Identification and Characterization of Two RNA Binding Sites on Q.beta. Replicase (1995)

Two different SELEX protocols were used to generate two classes of RNA ligands that bound Q beta replicase with nanomolar equilibrium dissociation constants. One set of RNAs appeared to exist as pseudoknots with conserved loop sequences. These ligands bound Q beta replicase and ribosomal protein S1 with equal affinities, indicating that the RNAs bind the replicase through its S1 subunit. The second class of ligands bound the replicase via a pyrimidine rich region. The two sets of ligands did not compete for binding to Q beta replicase, demonstrating that the two RNA families bind unique sites on the phage polymerase. Because the second class of ligands bound ribosomal protein S1 very poorly, it is likely that the second RNA binding site is located on one of the three remaining replicase subunits. Published sequences of RNAs replicated by Q beta replicase possess similarities to the two classes of RNA ligands, providing a possible solution to the question of template recognition by the phage polymerase.
Gaussian process with physical laws for 3D cardiac modeling (2020)

This paper introduces some physical laws into a Gaussian process for a statistical three-dimensional (3D) cardiac computational model. The 3D cardiac shape modeling is still challenging, since it involves personality and diversity. However, in spite of such variety, the heart shape must be ruled by some physical laws, which should be an important clue for the statistical shape estimation. Specifically, we introduce the Frank-Starling laws into the Gaussian process as a linear constraint, whose resulting process also follows a Gaussian process. For demonstration, we apply our model into the pipeline that estimates the heart shape from cardiovascular magnetic resonance (CMR) imaging, by combining it with the deep neural networks-based anatomical segmentation of CMR imaging.
Citywide traffic congestion estimation with social media (2015)

Conventional traffic congestion estimation approaches require the deployment of traffic sensors or large-scale probe vehicles. The high cost of deploying and maintaining these equipments largely limits their spatial-temporal coverage. This paper proposes an alternative solution with lower cost and wider spatial coverage by exploring traffic related information from Twitter. By regarding each Twitter user as a traffic monitoring sensor, various real-time traffic information can be collected freely from each corner of the city. However, there are two major challenges for this problem. Firstly, the congestion related information extracted directly from real-time tweets are very sparse due both to the low resolution of geographic location mentioned in the tweets and the inherent sparsity nature of Twitter data. Secondly, the traffic event information coming from Twitter can be multi-typed including congestion, accident, road construction, etc. It is non-trivial to model the potential impacts of diverse traffic events on traffic congestion. We propose to enrich the sparse real-time tweets from two directions: 1) mining the spatial and temporal correlations of the road segments in congestion from historical data, and 2) applying auxiliary information including social events and road features for help. We finally propose a coupled matrix and tensor factorization model to effectively integrate rich information for Citywide Traffic Congestion Eestimation (CTCE). Extensive evaluations on Twitter data and 500 million public passenger buses GPS data on nearly 700 mile roads of Chicago demonstrate the efficiency and effectiveness of the proposed approach.
A 16 MHz CMOS RC Frequency Reference With ±90 ppm Inaccuracy From −45 °C to 85 °C (2022)

This article presents a 16-MHz <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RC</i> frequency reference implemented in a standard 180-nm CMOS process. It consists of a frequency-locked loop (FLL) in which the output frequency of a digitally controlled oscillator (DCO) is locked to the frequency-phase characteristic of a Wien bridge <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RC</i> filter. Since it is made from on-chip resistors and capacitors, the filter’s characteristic is temperature dependent. To compensate for this, the control signal of the DCO is derived by digitizing the filter’s output phase and combining it with the digital output of a Wheatstone bridge temperature sensor. After a two-point trim, this digital temperature compensation scheme achieves an inaccuracy of ±90 ppm from −45 °C to 85 °C. The frequency reference draws 220 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula> from a 1.8-V supply, with a supply sensitivity of 0.12%/V and a 320-ppb Allan Deviation floor for a 10-s stride.
Improved Separating Agent for Roller Fusing (2005)

A release agent, in particular silicon oil, is applied to the surface of a fuser roller of a digital printer using dry toner to reduce contamination. Contamination of the surfaces is reduced or even prevented when the separating agent is diluted with a solvent having a boiling point in the range 60&#xB0;C to 160&#xB0;C.As the temperature of the fuser roller is significantly above the boiling point of the solvent it evaporates immediately after application resulting in a thin and smooth layer of fuser oil on the fuser rollers.Due the viscosity reduction by the addition of solvent, silicone oil with higher viscosity can be used and can be diluted by the solvent to the viscosity necessary for application. Thus the viscosity of the oil applied to the roller is higher after evaporation of the solvent compared to application of lower viscosity oil without dilution. That reduces volatilization of the oil off the roller that may cause oil pollution of other parts of the printer.The solvents reduce the viscosity of the oil that much that it maybe applied to the fuser roller point wise by e.g. an ink jet application device. The image data allow controlling the quantity of oil depending on the amount of toner.The evaporated solvent has to be removed from the exhaust air of printer by suitable filtering means before the air leaves the printer. Beside the solvent, ozone from the corona charger in the electrophotographic process has to be removed. This can be done in a special environment by first reaction the evaporated solvent - preferably a halogen containing solvent - with the ozone and then extracting the reaction product from the exhaust air by suitable filter e.g. charcoal filter.
Optical tensor core architecture for neural network training based on dual-layer waveguide topology and homodyne detection (2021)

We propose an optical tensor core (OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units (DPUs). The homodyne-detection-based DPUs can conduct the essential computational work of neural network training, i.e., matrix-matrix multiplication. Dual-layer waveguide topology is adopted to feed data into these DPUs with ultra-low insertion loss and cross talk. Therefore, the OTC architecture allows a large-scale dot-product array and can be integrated into a photonic chip. The feasibility of the OTC and its effectiveness on neural network training are verified with numerical simulations.
Workshop on job scheduling strategies for parallel processing - JSSPP (2010)

Note that the proceedings for this workshop are not included in the regular IPDPSW 2010 volume. Interim proceedings containing a collection of the papers presented will be distributed at the workshop. It is planned to also publish a post-workshop proceedings in the Springer-Verlag Lecture Notes on Computer Science series, as was done in previous years.
Mutation in the LPS outer core biosynthesis gene, galU, affects LPS interaction with the RTX toxins ApxI and ApxII and cytolytic activity of Actinobacillus pleuropneumoniae serotype 1 (2008)

Lipopolysaccharides (LPS) and Apx toxins are major virulence factors of Actinobacillus pleuropneumoniae, a pathogen of the respiratory tract of pigs. Here, we evaluated the effect of LPS core truncation in haemolytic and cytotoxic activities of this microorganism. We previously generated a highly attenuated galU mutant of A. pleuropneumoniae serotype 1 that has an LPS molecule lacking the GalNAc-Gal II-Gal I outer core residues. Our results demonstrate that this mutant exhibits wild-type haemolytic activity but is significantly less cytotoxic to porcine alveolar macrophages. However, no differences were found in gene expression and secretion of the haemolytic and cytotoxic toxins ApxI and ApxII, both secreted by A. pleuropneumoniae serotype 1. This suggests that the outer core truncation mediated by the galU mutation affects the toxins in their cytotoxic activities. Using both ELISA and surface plasmon resonance binding assays, we demonstrate a novel interaction between LPS and the ApxI and ApxII toxins via the core oligosaccharide. Our results indicate that the GalNAc-Gal II-Gal I trisaccharide of the outer core is fundamental to mediating LPS/Apx interactions. The present study suggests that a lack of binding between LPS and ApxI/II affects the cytotoxicity and virulence of A. pleuropneumoniae.
Early Life Exposure to Human Milk Oligosaccharides Reduces Allergic Response in a Murine Asthma Model (2023)

We propose a model in which orally administered HMOs delivered during early life shift the microbiota toward increased production of SCFAs, which dampens the allergic immune responses behind allergy and asthma. Overall, these data suggest the potential for HMO supplementation to protect infants against asthma development later in life, with possible benefits against additional atopic diseases such as eczema and food allergies.
Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation (2022)

Obtaining accurate channel state estimates at reasonable training overheads remains a big challenge for the applicability of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM). Recently, the exploitation of channel sparsity has led to sub-Nyquist channel sampling thereby reducing the channel training overhead. Still, there is a growing belief in channel sparsity appearance in many dimensions; time, frequency, angle, and space. Accordingly, this paper proposes an algorithm for channel estimation where sparsity in multidimensions is simultaneously exploited. Also, the applicability of sparse coding relies on the validity of a signal sparsity assumption and knowing the exact sparsity level. However, this assumption is not valid in practice, especially when applying learned dictionaries as sparsifying transforms. The problem is more strongly pronounced with multidimensional sparsity. In this paper, we also propose an algorithm for estimating the composite sparsity lying in multiple domains defined by learned dictionaries. Simulations validate a substantial channel estimation quality attained by the proposed algorithm as compared to the existing algorithms. The simulations also validate a high quality of sparsity estimation leading to performances close to the impractical case of assuming known sparsity.
Autism-like behaviors and enhanced memory formation and synaptic plasticity in Lrfn2/SALM1-deficient mice (2018)

Excitatory synapses have a fundamental role for maintenance of normal brain function, and dysfunctions of the synaptic molecules lead to several neuropsychiatric disorders. Lrfn2/SALM1, a PSD-95-interacting synapse adhesion molecule, is implicated as a causative gene for learning disabilities (LDs) and antisocial personal disorders (ASPD). However, its role in higher brain function and underlying mechanisms remain unknown. Here we show that Lrfn2 knockout mice exhibited autism-like behavioral abnormalities, including social withdrawal, decreased vocal communications, increased stereotyped activities, and prepulse inhibition deficits, together with enhanced learning and memory. In the KO hippocampus, the protein levels of PSD-95 and synaptic GluA1 were decreased whereas GluN2A was increased, and the LTP was enhanced with reduction of AMPA/NMDA ratio, suggesting that Lrfn2 impacts on synaptic localization of glutamate receptors. We also detected functionally defective LRFN2 missense mutations in autism and schizophrenia patients. These findings indicate that Lrfn2/LRFN2 is required for proper synaptic expression of glutamatergic signal components and their dysfunction causes immature synapses with pathophysiological state.
Reduction of the Feedback Delay Impact on the Performance of Scheduling in OFDMA Systems (2009)

Most of the existing scheduling algorithms in OFDMA and TDMA systems assume the availability of perfect channel quality indicator (CQI) at the transmitter. Unfortunately, this is unrealistic since the receiver (e.g. mobile users) estimates the CQI at time t - ¿ and feed back this CQI estimate to the transmitter (e.g. base station). The scheduler uses then this outdated CQI at time t to make the allocation. In this paper, we analyze the impact of outdated CQI on the performance of MPF (multi carrier proportional fair) scheduler in the context of downlink OFDMA system. We propose thus improvement of this algorithm in order to reduce the impact of outdated CQI. The idea consists in analyzing the probability distribution function (pdf) of the CQI with respect to an estimated CQI and using this pdf in the scheduling rule. The improvement method proposed in this paper can be applied to other scheduling rules. Simulation results show improvement of the system performance.
Modulation of QCSE in InGaN-based LEDs with truncated- hexagonal-pyramid patterned-sapphire substrates (2020)

A method for the modulation of QCSE inside multiple-quantum wells of InGaN-based LEDs is proposed and confirmed with photoluminescence, Raman spectra, and electroluminescence using an integrating sphere.
Zebrafish bioassay-guided isolation of the anticonvulsant compounds from Cyperus articulatus (2017)

Epilepsy is a common CNS disorder usually treated by commercial antiepileptic drugs (AEDs) in western countries. A large number of AEDs are available and preferentially used according to the type of seizures. However, 30% of patients suffering from epilepsy remain pharmaco-resistant to the current treatments. Medicinal plants are also widely used in low and middle-income countries to treat epilepsy and the decoction of Cyperus articulatus roots is a known and traditional remedy to heal epilepsy in Cameroon. Previous studies have demonstrated its in-vivo activity in a mice model [1]. In order to identify the active principles, a zebrafish epilepsy model well suited for bioguided-assay fractionation was chosen [2]. Extraction of the roots by solvents of increasing polarity indicated a high anticonvulsant activity in the hexanic extract (HE). Microfractionation of the HE by normal phase flash chromatography combined with a zebrafish bioguided-assay enable to localize LC-peaks responsible for the bioactivity. The isolation of these compounds at larger scale was targeted based on their physico-chemical profiles and resulted in the isolation of four bioactive terpenoids reducing drastically zebrafish induced seizures up to 81%. Their chemical structures were characterized by classical spectroscopic methods including HRMS and NMR. Additionally, the parallel artificial membrane permeability (PAMPA) absorption of the HE has been performed and confirmed the passive permeation of major active compounds in the gastrointestinal tract (GIT) as well as in the blood brain barrier (BBB). This study provides further proof supporting the traditional use of this plant in the treatment of epilepsy.
Microbial exposure, interferon gamma gene demethylation in naïve T‐cells, and the risk of allergic disease (2009)

The period of immune programming during early life presents a critical window of opportunity for the prevention of allergic diseases. There is mounting evidence that inappropriate immune programming may involve disruption of specific epigenetic modifications (switches) at immune-related genes. This novel area of research has great potential, as epigenetic changes are known to be sensitive to environmental factors and may therefore provide a mechanistic link for the observed association between specific environmental cues, faulty immune development, and the risk of allergic disease. In addition, the dynamic and potentially reversible nature of epigenetic modifications offers potentially novel targets for therapeutic and/or preventative interventions. We review the evidence that (1) failure to up-regulate the interferon gamma (IFNgamma) response during infancy is an important determinant of the risk of allergic disease, (2) expression of the IFNgamma gene in naïve T-cells is regulated by epigenetic mechanisms, and (3) failure to up-regulate IFNgamma gene expression of naïve T-cells associated with low early life microbial exposure. Taken together, these lines of evidence suggest that low microbial exposure during early life increases the risk of allergic disease by reducing demethylation (activation) of the IFNgamma gene of naive T-cells.