gebhart/patrepeval huggingface dataset:
Simple method for evaluation of l used for kinetic calculations of one point reactor model. (1985)

"Simple Method for Evaluation of [lbar] Used for Kinetic Calculations of One Point Reactor Model." Journal of Nuclear Science and Technology, 22(7), pp. 589–590
Evolution of the nucleoprotein gene of influenza A virus (1990)

Nucleotide sequences of 24 nucleoprotein (NP) genes isolated from a wide range of hosts, geographic regions, and influenza A virus serotypes and 18 published NP gene sequences were analyzed to determine evolutionary relationships. The phylogeny of NP genes was determined by a maximum-parsimony analysis of nucleotide sequences. Phylogenetic analysis showed that NP genes have evolved into five host-specific lineages, including (i) Equine/Prague/56 (EQPR56), (ii) recent equine strains, (iii) classic swine (H1N1 swine, e.g., A/Swine/Iowa/15/30) and human strains, (iv) gull H13 viruses, and (v) avian strains (including North American, Australian, and Old World subgroups). These NP lineages match the five RNA hybridization groups identified by W. J. Bean (Virology 133:438-442, 1984). Maximum nucleotide differences among the NPs was 18.5%, but maximum amino acid differences reached only 10.8%, reflecting the conservative nature of the NP protein. Evolutionary rates varied among lineages; the human lineage showed the highest rate (2.54 nucleotide changes per year), followed by the Old World avian lineage (2.17 changes per year) and the recent equine lineage (1.22 changes per year). The per-nucleotide rates of human and avian NP gene evolution (1.62 x 10(-3) to 1.39 x 10(-3) changes per year) are lower than that reported for human NS genes (2.0 x 10(-3) changes per year; D. A. Buonagurio, S. Nakada, J. D. Parvin, M. Krystal, P. Palese, and W. M. Fitch, Science 232:980-982, 1986). Of the five NP lineages, the human lineage showed the greatest evolution at the amino acid level; over a period of 50 years, human NPs have accumulated 39 amino acid changes. In contrast, the avian lineage showed remarkable conservatism; over the same period, avian NP proteins changed by 0 to 10 amino acids. The specificity of the H13 NP in gulls and its distinct evolutionary separation from the classic avian lineage suggests that H13 NPs may have a large degree of adaptation to gulls. The presence of avian and human NPs in some swine isolates demonstrates the susceptibility of swine to different virus strains and supports the hypothesis that swine may serve as intermediates for the introduction of avian influenza virus genes into the human virus gene pool. EQPR56 is relatively distantly related to all other NP lineages, which suggests that this NP is rooted closest to the ancestor of all contemporary NPs. On the basis of estimation of evolutionary rates from nucleotide branch distances, current NP lineages are at least 100 years old, and the EQPR56 NP is much older.(ABSTRACT TRUNCATED AT 400 WORDS)
Performance analysis of LTE system with different transmission time interval (2016)

Long Term Evolution (LTE) system is the major milestone in stepping towards 4G evolution. Further evolution which is named 4.5G (also called as LTE-Advanced Pro) targeting for lower latency and other enhancements is on the way. Many companies put forward that shortening transmission time interval (TTI) length is a possible way to decrease latency in the system in 3GPP meetings. It is known that by shortening the TTI length, throughput gain can be expected. However, how much gain can LTE system obtain is unknown. Moreover, whether there is negative is ambiguous when TTI length is too small. This paper intends to introduce the performance brought by different TTI length in LTE system. The performance is displayed by comparing with legacy TTI length. It presents in different criterions with figures and data, including advantages and disadvantages. This paper also explain why shortening TTI length can affect LTE system's performance.
Engine knock prediction using multi zone model for spark ignition engines (2006)

Autoignition in SI engines is an abnormal combustion mode and may lead to engine knock in SI engines. Knock may cause damage and it is a source of noise in engines. It limits the compression ratio of the engine and a low compression ratio means low fuel conversion efficiency of the engine. In this paper a multi zone model based on an existing two zone model Hajireza et al., [1 and 12] and Stenlaas et al., [30] is developed and validated against the experimental results. The validation is done by using the same detailed chemical mechanism consisting of 141 species and about 1405 reactions under the same conditions. The model is a zero dimensional model capable of simulating a full engine cycle. The two zone combustion model consists of a burned and an unburned zone, separated by a thin adiabatic flame front. The multi zone model differs in the handling of the burned gas. In the multi zone case a number of burned zones are present. The number of zones is decided by the temperature difference between the flame front and the last generated burned zone. The detailed chemical mechanism is taken into account in each zone, while the propagating flame front is calculated from the Wiebe function. Each zone is assumed to be a homogeneous mixture with a uniform temperature, mole and mass fractions of species. The spatial variation of the pressure is neglected, i.e., it is assumed to be the same in the whole combustion chamber at every instant of time. Autoignition is handled by the chemical kinetic model. As the unburned zone is assumed homogeneous the effect of auto ignition is a single pressure peak. The model is not designed to predict the pressure oscillations seen in engine knock. Copyright
Cathodoluminescence study of luminescence centers in hexagonal and cubic phase GaN hetero-integrated on Si(100) (2016)

Hexagonal and cubic GaN—integrated on on-axis Si(100) substrate by metalorganic chemical vapor deposition via selective epitaxy and hexagonal-to-cubic-phase transition, respectively—are studied by temperature- and injection-intensity-dependent cathodoluminescence to explore the origins of their respective luminescence centers. In hexagonal (cubic) GaN integrated on Si, we identify at room temperature the near band edge luminescence at 3.43 eV (3.22 eV), and a defect peak at 2.21 eV (2.72 eV). At low temperature, we report additional hexagonal (cubic) GaN bound exciton transition at 3.49 eV (3.28 eV), and a donor-to-acceptor transition at 3.31 eV (3.18 eV and 2.95 eV). In cubic GaN, two defect-related acceptor energies are identified as 110 and 360 meV. For hexagonal (cubic) GaN (using Debye Temperature (β) of 600 K), Varshni coefficients of α=7.37±0.13×10−4 (6.83±0.22×10−4)eV/K and E0=3.51±0.01 (3.31±0.01) eV are extracted. Hexagonal and cubic GaN integrated on CMOS compatible on-axis Si(100) are shown to be promising materials for next generation devices.
Optimized two-layer motheye structures for MgAl2O4 spinel ceramic windows (2021)

We computationally study two-layer motheye nanostructures fabricated on MgAl 2 O 4 spinel ceramic windows. We investigated the parameters of the structure, including height, width, and shape, in order to optimize its power transmission efficiency over a broad bandwidth. We found a two-layer motheye structure in which the cones of the upper structure have a concave shape that can theoretically achieve more than 99.8% transmission at normal incidence in the wavelength range between 0.4 μm and 5.0 μm.
Characterization of Plasma Process-Induced Low-Density Defect Creation by Lateral Junction Leakage (2022)

In the design of ultralow leakage devices such as image sensors, it is necessary to understand the influence of low-density defects during plasma processing-plasma-induced physical damage (PPD)-on device performance. Defects created by plasma exposure act as carrier conduction sites and induce an increase in leakage (e.g., dark) current. This study proposes a PPD evaluation scheme for low-density defect assessments, specifically defects created in the lateral direction due to lateral stochastic straggling (lateral PPD). Two test structures were designed: a single device with a leakage current (Ileak) and a complementary metal-oxide-semiconductor image sensor (CIS) circuit with a dark current (Idark). The energy level and density of defects distributed in the lateral direction were estimated using the Shockley-Read-Hall (SRH) model. The energy level (Et) was derived using the SRH model from the temperature dependence of Ileak and Idark defined as the activation energy Ea. The trap density (Nt) was also determined. A comprehensive comparison of these parameters was conducted. Both Ileak and Idark are dependent on the contact opening diameter after plasma exposure, which implies the presence of defects in the lateral direction via lateral PPD. From the analysis of the temperature dependence of Ileak and Idark, the lateral PPD influenced the mean value of Ea. Moreover, we confirmed that an increase in Idark indicates an increase in the number of trap sites, and more specifically, an increase in defects at shallow levels. The derived trap site density in the CIS circuit was consistent with that of a single device. The proposed evaluation scheme is useful for PPD evaluation in the presence of low-density defects, and is critical for the design of future low-leakage devices.
Potential Metabolic Biomarkers to Identify Interstitial Lung Abnormalities (2016)

Determining sensitive biomarkers in the peripheral blood to identify interstitial lung abnormalities (ILAs) is essential for the simple early diagnosis of ILAs. This study aimed to determine serum metabolic biomarkers of ILAs and the corresponding pathogenesis. Three groups of subjects undergoing health screening, including healthy subjects, subjects with ILAs, and subjects who were healthy initially and with ILAs one year later (Healthy→ILAs), were recruited for this study. The metabolic profiles of all of the subjects' serum were analyzed by liquid chromatography quadruple time-of-flight mass spectrometry. The metabolic characteristics of the ILAs subjects were discovered, and the corresponding biomarkers were predicted. The metabolomic data from the Healthy→ILAs subjects were collected for further verification. The results indicated that five serum metabolite alterations (up-regulated phosphatidylcholine, phosphatidic acid, betaine aldehyde and phosphatidylethanolamine, as well as down-regulated 1-acylglycerophosphocholine) were sensitive and reliable biomarkers for identifying ILAs. Perturbation of the corresponding biological pathways (RhoA signaling, mTOR/P70S6K signaling and phospholipase C signaling) might be at least partially responsible for the pathogenesis of ILAs. This study may provide a good template for determining the early diagnostic markers of subclinical disease status and for obtaining a better understanding of their pathogenesis.
Scaling data-driven robotics with reward sketching and batch reinforcement learning (2020)

We present a framework for data-driven robotics that makes use of a large dataset of recorded robot experience and scales to several tasks using learned reward functions. We show how to apply this framework to accomplish three different object manipulation tasks on a real robot platform. Given demonstrations of a task together with task-agnostic recorded experience, we use a special form of human annotation as supervision to learn a reward function, which enables us to deal with real-world tasks where the reward signal cannot be acquired directly. Learned rewards are used in combination with a large dataset of experience from different tasks to learn a robot policy offline using batch RL. We show that using our approach it is possible to train agents to perform a variety of challenging manipulation tasks including stacking rigid objects and handling cloth.
Learning-Based, Distributed Spectrum Observation System for Dynamic Spectrum Sharing in the 5G Era and Beyond (2019)

Dynamic sharing of limited radio spectrum resources is expected to satisfy the increasing demand for spectrum resources in the upcoming 5th generation mobile communication system (5G) era and beyond. Distributed real-time spectrum sensing is a key enabler of dynamic spectrum sharing, but the costs incurred in observed-data transmission are a critical problem, especially when massive numbers of spectrum sensors are deployed. To cope with this issue, the proposed spectrum sensors learn the ambient radio environment in real-time and create a time-spectral model whose parameters are shared with servers operating in the edge-computing layer. This process makes it possible to significantly reduce the communication cost of the sensors because frequent data transmission is no longer needed while enabling the edge servers to keep up on the current status of the radio environment. On the basis of the created time-spectral model, sharable spectrum resources are dynamically harvested and allocated in terms of geospatial, temporal, and frequency-spectral domains when accepting an application for secondary-spectrum use. A web-based prototype spectrum management system has been implemented using ten servers and dozens of sensors. Measured results show that the proposed approach can reduce data traffic between the sensors and servers by 97%, achieving an average data rate of 10 kilobits per second (kbps). In addition, the basic operation flow of the prototype has been verified through a field experiment conducted at a manufacturing facility and a proof-of-concept experiment of dynamic-spectrum sharing using wireless local-area-network equipment.
High spectral-efficiency multiple-antenna wireless using single-antenna terminals (2005)

Multiple-antenna wireless - also called MIMO provides order-of-magnitude improvements in throughput and it was originally conceived as a point-to-point scheme where the throughput increases linearly with the minimum of the number of transmit or receive antennas. Recent theoretical and practical developments in MIMO obviate the former need for equipping terminals with multiple-element receive arrays. Instead a basestation is equipped with a multiple-element transmit array sends multiple messages, simultaneously and selectively, to multiple autonomous terminals, where each terminal has only a single antenna. The major complication of multiple messaging is that it requires the basestation array to possess complete and timely knowledge of the complex forward-link propagation matrix. Time-division duplex (TDD) systems exploits reciprocity to obtain an effective transfer of the forward propagation matrix by having the terminals transmit pilots to the array over the reverse channel. Frequency-division duplex (FDD) systems require the terminals first to estimate the forward channel from pilots transmitted by the array over the forward channel, and then to transfer this channel state information (CSI) to the basestation array over the reverse link. The large amount of information to transmit, combined with the need to transmit the CSI in near real-time and the inherent delays associated with conventional channel coding, has inhibited the consideration of FDD for fast-changing propagation environments. We show that FDD CSI transfer can be accomplished simply and efficiently through uncoded analog linear modulation. Compared with TDD CSI transfer, the FDD CSI transfer provides the same quality of CSI using typically only two-to four-times the number of reverse link symbols that are used by TDD.
Iterative cycle of widely targeted metabolic profiling for the improvement of 1-butanol titer and productivity in Synechococcus elongatus (2018)

In this study, the iterative cycle of genetic modification based on insights from metabolomics successfully resulted in the highest reported 1-butanol productivity for engineered <i>Synechococcus elongatus</i> PCC 7942.
Improved Total-Body Irradiation Survival by Delivery of Two Radiation Mitigators that Target Distinct Cell Death Pathways (2017)

The acute lethality of total-body irradiation (TBI) involves damage to multiple organs, including bone marrow and intestine. Ionizing radiation mitigators that are effective when delivered 24 h or later after TBI include the anti-apoptotic drug, JP4-039 and the anti-necroptotic drug, necrostatin-1. In contrast to effective delivery of JP4-039 at 24 h after TBI, necrostatin-1 is most effective when delivery is delayed until 48 h, a time that correlates with the elevation of necroptosis-inducing inflammatory cytokines and necroptosis-induced serine phosphorylation of receptor-interacting serine/threonine-protein kinase-3 (RIP3) in tissues. The goal of this work was to determine whether administration of JP4-039 influenced the optimal delivery time for necrostatin-1. We measured daily levels of 33 proteins in plasma compared to intestine and bone marrow of C57BL/6NTac female mice over a 7-day time period after 9.25 Gy TBI (LD<sub>50/30</sub>). Protein responses to TBI in plasma were different from those measured in intestine or bone marrow. In mice that were given JP4-039 at 24 h after TBI, we delayed necrostatin-1 delivery for 72 h after TBI based on measured delay in RIP-3 kinase elevation in marrow and intestine. Sequential delivery of these two radiation mitigator drugs significantly increased survival compared to single drug administration.
An Operant Methodology to Handle BAW Design. Application to WCDMA/UMTS Duplexer. (2009)

International audience
MR‐derived cerebral blood volume maps: Issues regarding histological validation and assessment of tumor angiogenesis (2001)

In an effort to develop MRI methods for the evaluation of tumor angiogenesis (new blood vessel formation), MRI-derived cerebral blood volume (CBV) information has been compared to histologic measures of microvessel density (MVD). Although MVD is a standard marker of angiogenesis, it is not a direct correlate of the volume measurements made with MRI, and therefore inappropriate for the development and validation of the MR techniques. Therefore, the goal of this study was to develop an approach by which MR measurements of CBV can be directly correlated. To this end, dynamic susceptibility contrast (DSC) MRI experiments were performed in six Fisher rats implanted with 9L gliosarcoma brain tumors. Subsequently, the circulation was perfused with a latex compound (Microfil), after which 50-microm tissue sections were analyzed for vessel count, diameter, and the fraction of area comprised of vessels. The results demonstrate that while fractional area (FA) does not provide a good measure of CBV, FA corrected for section thickness effects does. Whereas the FA in normal brain was found to be 13.03 +/- 1.83% the corrected FA, or fractional volume (FV), was 1.89 +/- 0.39%, a value in agreement with those reported in the literature for normal brain. Furthermore, while no significant difference was found between normal brain and tumor FA (P = 0.55), the difference was significant for FV (P = 0.036), as would be expected. And only with FV does a correlation with the MRI-derived CBV become apparent (r(S) = 0.74). There was strong correlation (r(s) = 0.886) between the tumor / normal blood volume ratios as estimated by each technique, although the MR-ratio (1.56 +/- 0.29) underestimated the histologic-ratio (2.35 +/- 0.75). Thus, the correlation of MRI CBV methods requires a measurement of fractional vessel area and correction of this area for section thickness effects. This new independent correlative measure should enable efficient and accurate progress in the development of MRI methods to evaluate tumor angiogenesis.
Interactions of Nitric Oxide and Peroxynitrite with Low-Density Lipoprotein (2002)

Nitric oxide (*NO) is a free radical species that diffuses and concentrates in the hydrophobic core of low-density lipoprotein (LDL) to serve as a potent inhibitor of lipid oxidation processes. Peroxynitrite (PN), the product of the diffusion-limited reaction between *NO and superoxide (O2*-) represents a relevant mediator of oxidative modifications in LDL. The focus of this review is the analysis of interactions between *NO and PN and its secondary reactions with oxygen radicals on LDL oxidation, which are relevant in the development of the early steps as well as progression of atherosclerosis. We propose that the balance between rates of PN and *NO production, which greatly depends on oxidative stress processes within the vascular wall, will critically determine the final extent of oxidative LDL modifications leading or not to scavenger receptor-mediated LDL uptake and foam cell formation.
Polarization considerations in the multi-angle imager for aerosols (MAIA) (2018)

The significant effects of aerosols on public health and climate drive a growing necessity for the characterization of particulate matter in air pollutants. The earth-orbiting Multi-Angle Imager for Aerosols (MAIA) instrument will combine radiance and polarization measurements to derive features of ground-level particulate matter. The optical design requires an in-depth analysis of several key polarization factors in order to meet stringent requirements on radiometric and polarimetric accuracy. A simple two-layer optical coating, a pair of achromatic quarter-wave plates, and analysis of the polarization aberrations are used to minimize the effects of polarization errors and achieve high polarimetric accuracy.
The low density receptor-related protein 1 plays a significant role in ricin-mediated intoxication of lung cells (2020)

Ricin, a highly lethal plant-derived toxin, is a potential biological threat agent due to its high availability, ease of production and the lack of approved medical countermeasures for post-exposure treatment. To date, no specific ricin receptors were identified. Here we show for the first time, that the low density lipoprotein receptor-related protein-1 (LRP1) is a major target molecule for binding of ricin. Pretreating HEK293 acetylcholinesterase-producer cells with either anti-LRP1 antibodies or with Receptor-Associated Protein (a natural LRP1 antagonist), or using siRNA to knock-down LRP1 expression resulted in a marked reduction in their sensitivity towards ricin. Binding assays further demonstrated that ricin bound exclusively to the cluster II binding domain of LRP1, via the ricin B subunit. Ricin binding to the cluster II binding domain of LRP1 was significantly reduced by an anti-ricin monoclonal antibody, which confers high-level protection to ricin pulmonary-exposed mice. Finally, we tested the contribution of LRP1 receptor to ricin intoxication of lung cells derived from mice. Treating these cells with anti-LRP1 antibody prior to ricin exposure, prevented their intoxication. Taken together, our findings clearly demonstrate that the LRP1 receptor plays an important role in ricin-induced pulmonary intoxications.
Preparation of Inorganic / Polymer Composite Particles by Electrospray (2010)

Inorganic / polymer composite particles are widely used and have attractive applications such as inks and paints, cosmetic, drug delivery system etc. In this study, electrospray method was firstly used to prepare monodispersed SiO2 / Poly-methyl methacrylate (PMMA) composite particles. SiO2 particles and PMMA were used as model material. A field emission scanning electron microscopy (SEM) was used to characterize the particles. The SEM analysis revealed that the produced SiO2 / PMMA composite particles were non-agglomerated and monodispersed. It was found that the flow rate and concentration ratio of SiO2 particles to PMMA polymer, as well as the SiO2 particle size led to change morphology of the composite particles.