gebhart/patrepeval huggingface dataset:
The intranuclear prolactin/cyclophilin B complex as a transcriptional inducer (2002)

The nuclear translocation of peptide hormones, such as the somatolactogenic hormone prolactin, after receptor internalization has been widely reported. Prolactin has been demonstrated to interact with cyclophilin B, a member of the immunophilin family of proteins. Cyclophilin B interaction with prolactin potentiated prolactin-induced proliferation, cell growth, and the nuclear retrotransport of prolactin. These effects could be abrogated by the removal of the peptidyl-prolyl isomerase activity of cyclophilin B. Our findings indicate that the intranuclear prolactin/cyclophilin B complex acts as a transcriptional inducer by interacting directly with Stat5, resulting in the removal of the Stat-repressor protein inhibitor of activated Stat 3 (PIAS3), thereby enhancing Stat5 DNA-binding activity and prolactin-induced, Stat5-mediated gene expression.
Logical gates on trapped modes in photonic crystals with nonlinear coating (2008)

We propose two principal schemes of all-optical adders and logical gates based on the dependence of electromagnetic spectra in photonic bandgap materials containing optically nonlinear layers on the light signal intensity. The photonic structure behavior with changing intensity is investigated for system consisting of periodical layered structure covered with optically nonlinear material. The theory of photonic band and local states dynamics is developed for linear 1D and 2D Si-SiO<sub>2</sub> and Ge-Se photonic crystals coated with the nonlinear doped glass. It is shown that the beam angular-frequency diagrams contain extremely sensitive areas inside the total reflection range, where the weak nonlinearity leads to dramatic change in light reflection and transmission. An overview of suitable nonlinear materials and PBG structures is made to evaluate logical device parameters for different frequencies of laser sources.
BqR‐Tree: A Data Structure for Flights and Walkthroughs in Urban Scenes with Mobile Elements (2010)

Abstract BqR‐Tree, the data structure presented in this paper is an improved R‐Tree data structure based on a quadtree spatial partitioning which improves the rendering speed of the usual R‐trees when view‐culling is implemented, especially in urban scenes. The city is split by means of a spatial quadtree partition and the block is adopted as the basic urban unit. One advantage of blocks is that they can be easily identified in any urban environment, regardless of the origins and structure of the input data. The aim of the structure is to accelerate the visualization of complex scenes containing not only static but dynamic elements. The usefulness of the structure has been tested with low structured data, which makes its application appropriate to almost all city data. The results of the tests show that when using the BqR‐Tree structure to perform walkthroughs and flights, rendering times vastly improve in comparison to the data structures which have yielded best results to date, with average improvements of around 30%.
Interferon regulatory factor 8 and the regulation of neutrophil, monocyte, and dendritic cell production (2015)

These studies have emphasized the importance of IRF8 in the regulation of myelopoiesis and are revealing novel therapeutic targets.
Current based PUF Exploiting Random Variations in SRAM Cells (2016)

Physical Unclonable Function (PUF) is a security primitive that has been proven to be effective in diverse security solutions ranging from hardware authentication to on-die entropy generation. PUFs can be implemented in a design in two possible ways: (1) adding a separate dedicated circuit; and (2) reusing an existing on-chip structure for generating random signatures. A large percentage of existing PUFs falls into the first category, which suffers from the important drawback of often unacceptable hardware and design overhead. Moreover, they cannot be applied to legacy designs, which do not allow insertion of additional circuit structures. Intrinsic PUFs, that rely on pre-existing circuit structures, such as static random-access memory (SRAM), fall into the second category. They, however, typically suffer from poor entropy as well as lack of robustness. In this paper, we introduce a novel PUF implementation of the second category that exploits the effect of manufacturing process variations in SRAM read access current. In particular, we note that transistor level variations in SRAM cells cause significant variations in the read current and the variation changes with the stored content in a SRAM cell. We propose a method to transform the analog read current value for an SRAM array into robust binary signatures. The proposed PUF can be easily employed for authentication of commercial SRAM chips without any design modification. Furthermore, it can be realized, with minor hardware modification, into chips with embedded memory, e.g., a processor, for on-die entropy generation. Simulation results at 45nm CMOS process for 1000 chips as well as measurement results based on 30 commercial SRAM chips, show promising randomness, uniqueness and robustness under environmental fluctuations.
Molecular Dynamics Study of Mechanical Properties and Inelastic Deformation Mechanism of Nanocrystalline Materials under Tensile Loading. (2000)

Nano-polycrystalline material that consists of many minute (nanometer order) grains shows some interesting mechanical properties;e.g.opposite Hall-Petch relationship, superplasticity, and elastic modulus softening. To clarify the origin of these properties, we study the behavior of 3-dimensional nano-polycrystalline model under uniaxial tensile loading. The model consists of 48 aluminum grains and the dynamics of total 551011 atoms are simulated by using a large scale parallel molecular dynamics (MD). First, it is shown that the elastic moduli is located on intermediate value between the overall properties estimated by Voigt and Reuss models. Then, it is shown that crystalline slips caused by dislocations emitted from grain boundaries are one of main mechanisms of its deformation. Finally, the technique of the stereographic projection which is used to investigate the rotation of each grains in usual polycrystalline material, is applied to this atomistic simulation to elucidate a mechanism of slip. As the result, it is concluded that the crystal slip and grain rotation which are often observed in usual polycrystalline material appear during the atomistic deformation and they play an important role of the mechanism of inelastic deformation in nano-polycrystalline material.
Radioprotection of mice by recombinant rat stem cell factor. (1992)

Treatment with recombinant rat stem cell factor (rSCF) protects mice from the lethal effects of irradiation. Mice treated with a single dose of rSCF prior to irradiation of up to 1150 rads [given as a split dose (1 rad = 0.01 Gy)] resulted in > 80% long-term survival, whereas a single injection given after the last dose of irradiation was not radioprotective. The combination of pre- and posttreatment (-20 h, -2 h, and +4 h) with rSCF resulted in 100% survival of otherwise lethally irradiated mice. Using this optimum schedule of rSCF administration, a radioprotective factor of 1.3-1.35 was achieved. The major cause of death in the control animals was massive bacteremia consisting of enteric organisms. The rSCF-treated animals had a much lower frequency of septicemia, due primarily to a rapid hematopoietic recovery of bone marrow function not evident in control animals.
Progress Toward Malaria Preerythrocytic Vaccines (1991)

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Pulmonary artery denervation improves pulmonary arterial hypertension induced right ventricular dysfunction by modulating the local renin-angiotensin-aldosterone system (2016)

PADN improves hemodynamics and relieves RV dysfunction in dogs with PAH, which can be associated with the downregulating RAAS activity in local tissue.
An Application of Out-of-Distribution Detection for Two-Stage Object Detection Networks (2020)

Recently, much research has been published for detecting when a classification neural network is presented with data that does not fit into one of the class labels the network learned at train time. These so-called out-of-distribution (OOD) detection techniques hold promise for improving safety in systems where unusual or novel inputs may results in errors that endanger human lives. Autonomous vehicles could specifically benefit from the use of these techniques if they could be adapted to detect and localize unusual objects in a driving environment, allowing for such objects to be treated with a high degree of caution. \n\nThis thesis explores the modification of a selection of existing OOD detection methods from the image classification literature for use in a two-stage object detection network. It is found that the task of detecting objects as being OOD is difficult to define for object detection networks that include a high-variance background class label, but that these methods can instead be adapted for detecting when background regions are incorrectly classified as foreground and when foreground objects of interest are incorrectly classified as background in the final layers of the network. It is found that some methods provide a slight improvement over the baseline method that uses softmax confidence scores for detecting these kinds of errors.
Electrochemically linking TEMPO to carbon via amine bridges (2004)

The immobilization of amino-containing compounds onto a graphite felt electrode is achieved by anodic oxidation in water. At high potentials, the specific surface of the felt increases during the grafting process, leading to high volume concentrations. The electrochemical reaction can also proceed at low potentials, giving rise to the successful covalent attachment of TEMPO onto the electrode.
Spin dynamics in InAs nanowire quantum dots coupled to a transmission line (2008)

We study theoretically electron spins in nanowire quantum dots placed inside a transmission line resonator. Because of the spin-orbit interaction, the spins couple to the electric component of the resonator electromagnetic field and enable coherent manipulation, storage, and readout of quantum information in an all-electrical fashion. Coupling between distant quantum-dot spins, in one and the same or different nanowires, can be efficiently performed via the resonator mode either in real time or through virtual processes. For the latter case, we derive an effective spin-entangling interaction and suggest means to turn it on and off. We consider both transverse and longitudinal types of nanowire quantum dots and compare their manipulation time scales against the spin relaxation times. For this, we evaluate the rates for spin relaxation induced by the nanowire vibrations (phonons) and show that, as a result of phonon confinement in the nanowire, this rate is a strongly varying function of the spin operation frequency and thus can be drastically reduced compared to lateral quantum dots in GaAs. Our scheme is a step forward to the formation of hybrid structures where qubits of different nature can be integrated in a single device.
Neurodegenerative diseases (2002)

Twenty-five years ago, there was little understanding of the causes of neurodegeneration. In fact, the term degenerative disease was used as a wastebasket for illnesses of unknown etiology. But progress over the past quarter of a century in research focused on degenerative disorders of the central nervous system (CNS) has been impressive. It is now clear that neurodegenerative diseases are caused by the misprocessing of proteins. In each disease, one or more specific proteins have been identified that are misprocessed; this results in the accumulation of one or more particular proteins.
Language learning impairment: Integrating research and remediation (1998)

Timing cues present in the acoustic waveform of speech provide critical information for the recognition and segmentation of the ongoing speech signal. Research has demonstrated that deficient temporal perception rates, that have been shown to specifically disrupt acoustic processing of speech, are related to specific language-based learning impairments (LLI). Temporal processing deficits correlate highly with the phonological discrimination and processing deficits of these children. Electrophysiological single cell mapping studies of sensory cortex in brains of primates have shown that neural circuitry can be remapped after specific, temporally cohesive training regimens, demonstrating the dynamic plasticity of the brain. Recently, we combined these two lines of research in a series of studies that addressed whether the temporal processing deficits seen in LLIs can be significantly modified through adaptive training aimed at reducing temporal integration thresholds. Simultaneously, we developed a computer algorithm that expanded and enhanced the brief, rapidly changing acoustic segments within ongoing speech and used this to provide intensive speech and language training exercises to these children. Results to date from two independent laboratory experiments, as well as a large national clinical efficacy trial, demonstrate that dramatic improvements in temporal integration thresholds, together with speech and language comprehension abilities of LLI children, results from training with these new computer-based training procedures.
Performances of wire harness assembly systems (2002)

Due to expanding electronic features in most equipment, the role of the wire harness is becoming more and more prominent in many manufacturing fields. Furthermore, wire harness assembly is certainly one of the most difficult and time consuming assembly phases in manufacturing. This article presents an economic performance analysis of harness assembly methods. It is hoped that this will aid the designer to select the most economical assembly method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Discovery of Substituted Maleimides as Liver X Receptor Agonists and Determination of a Ligand-Bound Crystal Structure (2005)

Substituted 3-(phenylamino)-1H-pyrrole-2,5-diones were identified from a high throughput screen as inducers of human ATP binding cassette transporter A1 expression. Mechanism of action studies led to the identification of GSK3987 as an LXR ligand. GSK3987 recruits the steroid receptor coactivator-1 to human LXRalpha and LXRbeta with EC(50)s of 40 nM, profiles as an LXR agonist in functional assays, and activates LXR though a mechanism that is similar to first generation LXR agonists.
Alkylated perepoxides: peroxonium versus phenonium intermediates from .beta.-haloalkyl tert-butyl peroxides and silver trifluoroacetate (1986)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAlkylated perepoxides: peroxonium versus phenonium intermediates from .beta.-haloalkyl tert-butyl peroxides and silver trifluoroacetateA. J. Bloodworth, Kevin J. Bowyer, and John C. MitchellCite this: J. Org. Chem. 1986, 51, 10, 1790–1793Publication Date (Print):May 1, 1986Publication History Published online1 May 2002Published inissue 1 May 1986https://pubs.acs.org/doi/10.1021/jo00360a027https://doi.org/10.1021/jo00360a027research-articleACS PublicationsRequest reuse permissionsArticle Views219Altmetric-Citations11LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
The Management of the Failed Renal Allograft: An Enigma with Potential Consequences (2005)

The number of patients returning to dialysis after their renal allograft fails is increasing in absolute numbers year after year. The management of the failed allograft that is not immediately symptomatic remains controversial. Surgical mortality and morbidity, a rising number of circulating antibodies, reduced erythropoietin, and diuresis are among the arguments to support simply observing the failed allograft. Chronic inflammation, potential for malignancy, infection, and the need for low-dose immunosuppression are concerns that might goad one into performing a preemptive nephrectomy. Based on the current literature and our own clinical experience, we believe allograft nephrectomies should not be routinely performed. They should be reserved for those patients who develop particular symptoms attributable to the allograft or those who require space for retransplantation. Future studies that address this issue in addition to testing various immunosuppression attrition rates may be able to discern a protocol that minimizes drug exposure while leading to reduced nephrectomy rates after returning to dialysis.
PROLONGED REMISSION IN FLORID CUSHING'S SYNDROME FOLLOWING METYRAPONE TREATMENT (1981)

Two patients presenting with diabetes mellitus and hypokalaemia resulting from markedly increased ACTH and cortisol secretion are described. Neither patient showed any evidence of a tumour and both responded dramatically to treatment with metyrapone in that all abnormal clinical features disappeared, ACTH concentrations returned to normal and both patients showed prolonged remission after metyrapone treatment was stopped. One patient relapsed after a severe viral illness and the administration of dexamethasone and cortisone. It is suggested that these cases may represent an unusual form of Cushing's syndrome in which ACTH secretion is stimulated by increasing concentrations of cortisol. When these are reduced by metyrapone administration ACTH secretion falls in parallel and prolonged remission of disease may result.
Formation of fossil fuels (2013)

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Effects of Feeding Dairy Cows Protein Supplements of Varying Ruminal Degradability (2003)

Twenty-five (10 ruminally cannulated) Holstein cows averaging 82 +/- 34 d in milk were assigned to 5 x 5 Latin squares (21-d periods) and fed diets supplemented with one of four different proteins to assess effects on production, ruminal metabolism, omasal flow of N fractions, and degradation rates of protein supplements. Total mixed diets contained (dry matter basis) 44% corn silage, 22% alfalfa silage, 2% urea, and 31% concentrate. Five concentrate mixes were fed: 31% high-moisture shelled corn (HMSC; basal); 9% solvent soybean meal (SSBM), 22% HMSC; 10% expeller soybean meal (ESBM), 21% HMSC; 5.5% blood meal (BM), 25.5% HMSC; and 7% corn gluten meal (CGM), 24% HMSC. Diets averaged, respectively, 15.8, 19.1, 19.7, 20.3, and 19.3% crude protein. Feeding the basal diet reduced intake and yield of milk, fat-corrected milk (FCM), and all milk components compared to the protein-supplemented diets. Milk yield was higher for cows fed ESBM and CGM, fat yield was higher for cows fed SSBM and CGM, but FCM and protein yields were not different among cows fed supplemental protein. Based on omasal sampling, mean in vivo estimates of ruminal degradation rate for the crude protein in SSBM, ESBM, BM, and CGM was, respectively, 0.417, 0.179, 0.098, and 0.051/h (computed using passage rates observed for the small particle phase; mean = 0.14/h), and 0.179, 0.077, 0.042, and 0.026/h (computed using a passage rate of 0.06/h). The in vivo degradation rate computed for SSBM at a passage rate = 0.06/h was similar to that estimated using the inhibitor in vitro method. However, in vivo degradation rates computed at passage rate = 0.06/h for ESBM, BM, and CGM were about two, four, and three times more rapid than those estimated by inhibitor in vitro. Experimental proteins fed in this trial will be used as standards for developing in vitro methods for predicting rates of ruminal protein degradation.
Neural Scene De-rendering (2017)

We study the problem of holistic scene understanding. We would like to obtain a compact, expressive, and interpretable representation of scenes that encodes information such as the number of objects and their categories, poses, positions, etc. Such a representation would allow us to reason about and even reconstruct or manipulate elements of the scene. Previous works have used encoder-decoder based neural architectures to learn image representations, however, representations obtained in this way are typically uninterpretable, or only explain a single object in the scene. In this work, we propose a new approach to learn an interpretable distributed representation of scenes. Our approach employs a deterministic rendering function as the decoder, mapping a naturally structured and disentangled scene description, which we named scene XML, to an image. By doing so, the encoder is forced to perform the inverse of the rendering operation (a.k.a. de-rendering) to transform an input image to the structured scene XML that the decoder used to produce the image. We use a object proposal based encoder that is trained by minimizing both the supervised prediction and the unsupervised reconstruction errors. Experiments demonstrate that our approach works well on scene de-rendering with two different graphics engines, and our learned representation can be easily adapted for a wide range of applications like image editing, inpainting, visual analogy-making, and image captioning.
A predication-based approach for effective resource, discovery in topical web (2004)

Due to enormous growth of the World Wide Web in recent years, crawling specific topical portions quickly without having to explore all Web pages has become a new challenge for resource discovery. A new idea is to predicate the URL's relevance degree to the topic by related properties of the URL, then crawl the URLs with high probability. In this paper, we do further study on the topic resource and introduce some new properties helpful for more effective relevance predication. We also improve the evaluation algorithm and add two rules to adjust the weights of factors dynamically, which lead to better predication precision. These new issues improve the system performance due to higher topic harvest rate and lower sensitivity to various kinds of initial URL seeds.