gebhart/patrepeval huggingface dataset:
President Malcolm Moos's Invitation to 64th Annual Meeting (1969)

The Land of i0,000 Lakes is also a land of over a million dairy cows on some 50,000 dairy farms, and the University, as the state's land-grant institution, has a high degree of involvement in the dairy industry, both in education and research. We are eager that you see some of our dairy plants and dairy farms, and arrangements are being made so that you may do so either before or after the meeting.
An Assessment of QR Code as a User Interface Enabler for Mobile Payment Apps on Smartphones (2015)

Mobile enabled payment technologies have seen an upsurge with advancement in smartphone technology. Several companies, including Google, Paypal, Amazon, Facebook have launched mobile payment solutions. Easy to adopt user interfaces play a pivotal role in wider adoption of such solutions. Typically, existing mobile payment solutions are designed for the user to type in the details of a transaction, like recipient id, amount, authorization code. Use of a pictorial mode to capture the transaction information can make the user interaction easier and faster during a transaction. We use a popular pictorial encoding format, called Quick-Response (QR) code, to auto-fill necessary details during a transaction, thus relieving the user from typing in the details. In this study using 48 participants from different literacy levels, we have compared the use of standard typing based system against inputs using pictorial format for enabling mobile payments. Our study indicates the benefits of QR code in designing UIs for mobile payment applications.
Behavioral modeling of MIMO transmitters exhibiting nonlinear distortion and hardware impairements (2011)

In this paper we propose a novel behavioral model for multiple input, multiple output (MIMO) nonlinear transmitters in the presence of I/Q modulator's imperfections. A joint model is proposed for hardware impairments and distortion of MIMO wireless transmitters. These imperfections originate from the modulator's I/Q imbalance, DC offset, PA's nonlinearity and the crosstalk or coupling effects induced by the interference between the different paths of the transmitter. The performance of the proposed model was evaluated for different cases of modulator's impairments and distortion.
Graph fuzzy homomorphism interpreted as fuzzy association graphs (2002)

A new generic definition of graph fuzzy morphism is introduced that includes classical graph related problem definitions as sub-cases. Two practical interpretations as well as some properties are discussed. This definition is a first attempt towards a unified theoretic framework for graph morphism.
Noise Reduction to Decrease Radiation Dose and Improve Conspicuity of Hepatic Lesions at Contrast-Enhanced 80-kV Hepatic CT Using Projection Space Denoising (2012)

Eighty-kilovolt imaging with noise reduction can simultaneously increase lesion conspicuity and facilitate radiation dose reduction and image quality improvement at contrast-enhanced hepatic CT.
MODELAGEM MATEMÁTICA DO PROCESSO DE EXTRAÇÃO DE ÓLEOS ESSENCIAIS Schinus terebintifolius Raddi UTILIZANDO FLUIDOS SUPERCRÍTICOS (2019)

Schinus terebinthifolius Raddi é uma planta rica em nutrientes e é utilizadatanto de forma medicinal como na área industrial. O interesse comercial na extraçãodo óleo da S. terebinthifolius, faz com que métodos de extração mais baratos como osupercrítico sejam vistos como promissores na indústria na atualidade. Os modelosmatemáticos como Sovová (1994) e Esquivel (1999) são utilizados para descrever ocomportamento de extrações supercriticas. Nesse trabalho, o objetivo foi compararesses modelos e dados experimentais para pressão 223 bar e a temperatura 50 ° C,e verificar rendimentos e qual modelo mais adequado. E a partir do estudo, observousebons rendimentos para essa pressao e temperatura e verificou-se que o Sovová(1994) proporcionou boa reprodutibilidade e representatividade.
Machine Learning with Blind Imbalanced Domains (2022)

Recently machine learning is used in various applications and has shown success. Machine learning is good at learning the overall characteristics of massive training data. However, for real-world applications, training data often include multiple domains, and some domains have higher importance or risks. In this paper, we first propose a new problem setting: machine learning with blind imbalanced domains. In the proposed problem, the domain assignment of samples is unknown and imbalanced in the training data, and the performance is evaluated for each domain in the test data. Second, we propose an approach for that problem in classification tasks. The proposed approach combines center loss and weighted mini-batch sampling based on distances between samples and centroids in the deep feature space. Experiments on one minor domain and two minor domain settings using three handwritten digit databases (MNIST, EMNIST, and USPS) show that our proposed approach outperforms possible solutions using related methods. Remarkably our approach improves the accuracy in the minor domain by more than 1% on average. Furthermore, it can be inductively estimated that our proposed approach works on multiple domains given the successful results on one and two minor domains.
Cyclic Tetrasaccharide in Sake Lees (2004)

We searched for a cyclic tetrasaccharide, cyclo-{→6)-α-D-Glcp-(1→3)-α-D-Glcp-(1→6)-α-D-Glcp-(1→3)-α-D-Glcp-(1→} (abbreviated as CTS) in various foods. GLC analysis revealed that sake lees and sake contained CTS in ranges of 61 to 378 μg/g and 0.23 to 7.05 μg/g, respectively. CTS isolated from sake lees, showed 1H- and 13C-NMR spectra completely identical to those of CTS enzymatically synthesized from starch. We examined CTS formation in the cells of Saccharomyces cerevisiae ATCC9763. Fed with additional sucrose on the 25th day of culture, cells (8.4 g) from a 39-day culture gave a significant amount of CTS (25.2 mg).
The major source of endogenous prostaglandin D2 production is likely antigen-presenting cells. Localization of glutathione-requiring prostaglandin D synthetase in histiocytes, dendritic, and Kupffer cells in various rat tissues. (1989)

The cellular localization of glutathione-requiring PGD synthetase, which catalyzes the predominant formation of PGD2 in various peripheral tissues, was investigated in adult rats by immunoperoxidase-staining with a polyclonal antibody specific for this enzyme. Although the 25 N-terminal amino acid residues of synthetase are 56% identical and 76% similar to those of several rat glutathione S-transferase subunits, the antibody cross-reacted only with synthetase in dot blotting and was nearly completely inactive with all transferase isozymes thus far purified. In Western blotting after SDS-PAGE of crude extracts of rat spleen, the antibody showed a single positive band at the same position as that of the purified enzyme (Mr = 26,000). The positive immunocytochemical stain was found in a number of histiocytes and/or dendritic cells in spleen, thymus, and Peyer's patch of intestine. The immunostain was also observed in such cells in lamina propria of the villus in small intestine and colon, in submucosal layer of stomach, and in Kupffer cells in liver. Immunoelectron microscopy confirmed that immunoreactivity of this enzyme was distributed in cytoplasm of those cells. Such immunoreactive cells were not observed in brain, spinal cord, kidney, heart, testis, and skeletal muscle. These observations suggest that PGD2 is produced by glutathione-requiring PGD synthetase localized in these types of APC in various tissues and may play a critical role in dictating the progression of immune responses.
In Situ Ultra-Small- and Small-Angle X-ray Scattering Study of ZnO Nanoparticle Formation and Growth through Chemical Bath Deposition in the Presence of Polyvinylpyrrolidone (2023)

ZnO inverse opals combine the outstanding properties of the semiconductor ZnO with the high surface area of the open-porous framework, making them valuable photonic and catalysis support materials. One route to produce inverse opals is to mineralize the voids of close-packed polymer nanoparticle templates by chemical bath deposition (CBD) using a ZnO precursor solution, followed by template removal. To ensure synthesis control, the formation and growth of ZnO nanoparticles in a precursor solution containing the organic additive polyvinylpyrrolidone (PVP) was investigated by in situ ultra-small- and small-angle X-ray scattering (USAXS/SAXS). Before that, we studied the precursor solution by in-house SAXS at <i>T</i> = 25 °C, revealing the presence of a PVP network with semiflexible chain behavior. Heating the precursor solution to 58 °C or 63 °C initiates the formation of small ZnO nanoparticles that cluster together, as shown by complementary transmission electron microscopy images (TEM) taken after synthesis. The underlying kinetics of this process could be deciphered by quantitatively analyzing the USAXS/SAXS data considering the scattering contributions of particles, clusters, and the PVP network. A nearly quantitative description of both the nucleation and growth period could be achieved using the two-step Finke-Watzky model with slow, continuous nucleation followed by autocatalytic growth.
Ultrastrong magnetic light-matter interaction with cavity mode engineering (2021)

Magnetic interaction between photons and dipoles is essential in electronics, sensing, spectroscopy, and quantum computing. However, its weak strength often requires resonators to confine and store the photons. Here, we present mode engineering techniques to create resonators with ultrasmall mode volume and ultrahigh quality factor. In particular, we show that it is possible to achieve an arbitrarily small mode volume only limited by materials or fabrication with minimal quality-factor degradation. We compare mode-engineered cavities in a trade-off space and show that the magnetic interaction can be strengthened more than $10^{16}$ times compared to free space. Proof-of-principles experiments using an ensemble of diamond nitrogen-vacancy spins show good agreement with our theoretical predictions. These methods enable new applications from high-cooperativity microwave-spin coupling in quantum computing or compact electron paramagnetic resonance sensors to fundamental science such as dark matter searches.
The Role of Complement in Liver Injury, Regeneration, and Transplantation (2019)

The liver is both an immunologically complex and a privileged organ. The innate immune system is a central player, in which the complement system emerges as a pivotal part of liver homeostasis, immune responses, and crosstalk with other effector systems in both innate and adaptive immunity. The liver produces the majority of the complement proteins and is the home of important immune cells such as Kupffer cells. Liver immune responses are delicately tuned between tolerance to many antigens flowing in from the alimentary tract, a tolerance that likely makes the liver less prone to rejection than other solid organ transplants, and reaction to local injury, systemic inflammation, and regeneration. Notably, complement is a double-edged sword as activation is detrimental by inducing inflammatory tissue damage in, for example, ischemia-reperfusion injury and transplant rejection yet is beneficial for liver tissue regeneration. Therapeutic complement inhibition is rapidly developing for routine clinical treatment of several diseases. In the liver, targeted inhibition of damaged tissue may be a rational and promising approach to avoid further tissue destruction and simultaneously preserve beneficial effects of complement in areas of proliferation. Here, we argue that complement is a key system to manipulate in the liver in several clinical settings, including liver injury and regeneration after major surgery and preservation of the organ during transplantation.
HiSIM_GaN: Compact Model for GaN-HEMT With Accurate Dynamic Current-Collapse Reproduction (2018)

The compact model of HIroshima-University Starc Igfet Model (HiSIM)_GaN for GaN-HEMT devices is reported, which solves the Poisson equation iteratively, in a similar way as the industry-standard compact HiSIM models for other semiconductor devices. The model considers all possible charges induced within the device, including the dynamically varying trap density. It is verified that the model can reproduce the 2-D-device simulation results accurately. In particular, the operation frequency dependence of the current collapse can also be captured correctly based on the trap time constant.
Synaptic plasticity and learning (2014)

In the network models discussed in Parts III and IV, each synapse has so far been characterized by a single constant parameter wij, called the synaptic weight, synaptic strength, or synaptic efficacy. If wij is constant, the amplitude of the response of a postsynaptic neuron i to the arrival of action potentials from a presynaptic neuron j should always be the same. Electrophysiological experiments, however, show that the response amplitude is not fixed but can change over time. In experimental neuroscience, changes of the synaptic strength are called synaptic plasticity.
Focusing Light in a Curved-Space (2010)

We use transformation optics to demonstrate focusing of light. The lenses are designed and fabricated on silicon with dimensions ranging from 20μm × 20 μm to 5.0 μm × 5.0 μm. The numerical and experimental results show the focusing of light over a broad wavelength range, from 1.15 μm to 1.60 μm.
Can Postoperative Surveillance with Serial CEA Immunoscintigraphy Detect Resectable Rectal Cancer Recurrence and Potentially Improve Tumor-Free Survival? (2000)

Arcitumomab inclusion in intensive surveillance of patients with resected rectal cancer can disclose tumor recurrence at a stage that allowed surgical salvage therapy in 37.5% of the 16 patients with recurrence who had second-look surgery, and in 19% the patients were free of disease during longterm followup. This pilot study suggests that a randomized prospective trial comparing standard surveillance procedures to the use of CEA imaging added thereto should be undertaken.
<title>Progress in organic multilayer electroluminescent devices</title> (1993)

Survey of dye materials for the emission layer in the multilayer organic electroluminescent (EL) device is discussed in terms of emission color and fluorescent efficiency. Organic semiconductors for the electron or the hole transport layer in the EL device are proposed for preparing stable homogeneous thin layer. Requirement of accomplishing the confinement of the singlet excitons generated by the recombinations of injected electrons and holes is discussed by using three layer EL devices with extremely thin bimolecular emission layer. Then the emphasis is laid on the size effects in three layer EL device with double heterojunctions on the spontaneous emission. Variations of the intensity and pattern of outer emission through semitransparent ITO glass substrate with the spacing between the emission layer and the metallic electrode are discussed theoretically and experimentally. And variation of the fluorescent lifetime or the radiative decay rate with the spacing is also discussed theoretically and experimentally.
Dynamic subcellular localization of the mono-ADP-ribosyltransferase ARTD10 and interaction with the ubiquitin receptor p62 (2012)

Our findings demonstrate that ARTD10 is a highly dynamic protein. It shuttles between the nuclear and cytosolic compartments dependent on a classical nuclear export sequence and a domain that mediates nuclear uptake. Moreover ARTD10 forms discrete bodies that exchange subunits rapidly. These bodies associate at least in part with the poly-ubiquitin receptor p62. Because this protein is involved in the uptake of cargo into autophagosomes, our results suggest a link between the formation of ARTD10 bodies and autophagy. LAY Post-translational modifications refer to changes in the chemical appearance of proteins and occur, as the name implies, after proteins have been synthesized. These modifications frequently affect the behavior of proteins, including alterations in their activity or their subcellular localization. One of these modifications is the addition of ADP-ribose to a substrate from the cofactor NAD+. The enzymes responsible for this reaction are ADP-ribosyltransferases (ARTDs or previously named PARPs). Presently we know very little about the role of mono-ADP-ribosylation of proteins that occurs in cells. We identified ARTD10, a mono-ADP-ribosyltransferase, as an interaction partner of the oncoprotein MYC. In this study we have analyzed how ARTD10 moves within a cell. By using different live-cell imaging technologies that allow us to follow the position of ARTD10 molecules over time, we found that ARTD10 shuttles constantly in and out of the nucleus. In the cytosol ARTD10 forms distinct structures or bodies that themselves are moving within the cell and that exchange ARTD10 subunits rapidly. We have identified the regions within ARTD10 that are required for these movements. Moreover we defined these bodies as structures that interact with p62. This protein is known to play a role in bringing other proteins to a structure referred to as the autophagosome, which is involved in eliminating debris in cells. Thus our work suggests that ARTD10 might be involved in and is regulated by ADP-riboslyation autophagosomal processes.
On the impact of D2D traffic offloading on energy efficiency in green LTE‐A HetNets (2014)

Abstract In this paper, the interplay between cooperative device‐to‐device (D2D) communications and green cellular communications in the long term evolution (LTE) and LTE‐advanced (LTE‐A) cellular systems is investigated. An efficient approach for grouping mobile terminals (MTs) into cooperative clusters is described. In each cluster, MTs cooperate via D2D communications to share content of common interest. In addition, an energy‐efficient approach for putting base stations in sleep mode in an LTE‐A heterogeneous network is presented. Finally, both methods are combined in order to ensure green communications for both the users' MTs and the operator's base stations. The presented techniques are investigated in the framework of orthogonal frequency division multiple access‐based state‐of‐the‐art LTE cellular networks, while taking resource allocation and intercell interference into account. Results show that the proposed approach leads to energy savings for both the operator and the MTs, while leading to enhanced quality of service for mobile users. Copyright © 2014 John Wiley &amp; Sons, Ltd.
Influence of V/III Ratio of Carbon-Doped p-GaAs on Current Gain and Its Thermal Stability in InGaP/GaAs Heterojunction Bipolar Transistors (2006)

The influence of the V/III ratio of carbon-doped p-GaAs on current gain and its thermal stability in InGaP/GaAs heterojunction bipolar transistors (HBTs) was studied. We have grown p-GaAs bulk layers and InGaP/GaAs HBTs at a growth temperature of 620 °C with V/III ratios between 0.35 and 25 employing CBrCl3 as a carbon source using a mass production metal–organic chemical vapor deposition instrument. We have found that a V/III ratio of 0.7 showed high current gain; however, the V/III ratio of 0.7 degrades under thermal annealing. On the other hand, a V/III ratio of 25 represents a significant improvement in thermal stability. Time resolved photo-luminescence revealed that the lifetime for the V/III ratio of 0.7 decreased with increasing annealing time, while the lifetime for the V/III ratio of 25 remained unchanged. These results suggest that current gain degradation for the V/III ratio of 0.7 is caused by the creation of recombination centers in the base layer.
Modelo de aerogenerador de velocidad variable DFIG con control LVRT (2014)

The rapid growth of wind power generation brings new requirements for the integration of wind turbines generators to the grid. Among these requirements is the Low Voltage Ride Through (LVRT) requisite which demands wind turbines generators to remain connected to the grid during grid voltage sags at certain conditions, as well as the contribution of reactive current during the voltage sag so as to help supporting the system voltage. In this paper, a model of Doubly Fed Induction Generator (DFIG) based wind turbine with LVRT capability is presented. The model allows conducting an analysis of the power system and satisfying the requirements of a specific grid code. Simulations show the wind turbine's operation with and without LVRT control.
Electrical and Optical Properties and Electronic Structures of LnCuOS (Ln: La—Nd). (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Effects of interface properties in SiC MOSFETs on reliability (2015)

Based on the experience with silicon (Si) devices, some characteristics of silicon carbide (SiC) devices are likely to be misunderstood. In this paper, studies on channel mobility, time dependent dielectric breakdown (TDDB), and negative bias temperature instability (NBTI) in 4H-SiC MOSFETs are reviewed. Through the discussions, it is indicated that SiC-based models, such as local band gap modulation, and models for the relationship between defect energy state and SiC band gap are effective to understand the above characteristics.
Molecular Beam Epitaxy of Nonstoichiometric Semiconductors and Multiphase Material Systems (1996)

Abstract When arsenides are grown by molecular beam epitaxy at low substrate temperatures, as much as 2% excess arsenic can be incorporated into the epilayer. This excess arsenic is in the form of antisites, but there is also a substantial concentration of gallium vacancies. With anneal, there is a significant decrease in the arsenic antisite and gallium vancancy concentrations as the excess arsenic precipitates. With further anneal, the arsenic precipitates coarsen. This combination of low substrate temperature molecular beam epitaxy and a subsequent anneal results in a broad spectrum of materials, from highly defected epilayers to a two-phase system of semimetallic arsenic precipitates in an arsenide semiconductor matrix. These materials exhibit some very interesting and useful electrical and optical properties.
Daha İnandırıcı Oyun Karakterleri İçin Bayes ve Q-Learning Tabanlı Yaklaşım (2018)

One of the goals of modern game programming is adapting the life-like&#13;\ncharacteristics and concepts into games. This approach is adopted to offer game&#13;\nagents that exhibit more engaging behavior. Methods that prioritize reward&#13;\nmaximization cause the game agent to go into same patterns and lead to repetitive&#13;\ngaming experience, as well as reduced playability. In order to prevent such&#13;\nrepetitive patterns, we explore a behavior algorithm based on Q-learning with a&#13;\nNaïve Bayes approach. The algorithm is validated in a formal user study in&#13;\ncontrast to a benchmark. The results of the study demonstrate that the algorithm&#13;\noutperforms the benchmark and the game agent becomes more engaging as the&#13;\namount of gameplay data, from which the algorithm learns, increases.