gebhart/patrepeval huggingface dataset:
Microglial P2X4R-evoked pain hypersensitivity is sexually dimorphic in rats (2018)

Microglia-neuron signalling in the spinal cord is a key mediator of mechanical allodynia caused by peripheral nerve injury. We recently reported sex differences in microglia in pain signalling in mice: spinal mechanisms underlying nerve injury-induced allodynia are microglial dependent in male but not female mice. Whether this sex difference in pain hypersensitivity mechanisms is conserved in other species is unknown. Here, we show that in rats, the spinal mechanisms of nerve injury-induced hypersensitivity in males differ from those in females, with microglial P2X4 receptors (P2X4Rs) being a key point of divergence. In rats, nerve injury produced comparable allodynia and reactive microgliosis in both sexes. However, inhibiting microglia in the spinal cord reversed allodynia in male rats but not female rats. In addition, pharmacological blockade of P2X4Rs, by an intrathecally administered antagonist, attenuated pain hypersensitivity in male rats only. Consistent with the behavioural findings, nerve injury increased cell surface expression and function of P2X4Rs in acutely isolated spinal microglia from male rats but not from female rats. Moreover, in microglia cultured from male rats, but not in those from female rats, stimulating P2X4Rs drove intracellular signalling through p38 mitogen-activated protein kinase. Furthermore, chromatin immunoprecipitation-qPCR revealed that the transcription factor IRF5 differentially binds to the P2rx4 promoter region in female rats vs male rats. Finally, mechanical allodynia was produced in otherwise naive rats by intrathecally administering P2X4R-stimulated microglia from male rats but not those from female rats. Together, our findings demonstrate the existence of sexually dimorphic pain signalling in rats, suggesting that this sex difference is evolutionarily conserved, at least across rodent species.
Effect of a Chikungunya Virus–Like Particle Vaccine on Safety and Tolerability Outcomes (2020)

ClinicalTrials.gov Identifier: NCT02562482.
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion (2016)

We introduce a new method for location recovery from pair-wise directions that leverages an efficient convex program that comes with exact recovery guarantees, even in the presence of adversarial outliers. When pairwise directions represent scaled relative positions between pairs of views (estimated for instance with epipolar geometry) our method can be used for location recovery, that is the determination of relative pose up to a single unknown scale. For this task, our method yields performance comparable to the state-of-the-art with an order of magnitude speed-up. Our proposed numerical framework is flexible in that it accommodates other approaches to location recovery and can be used to speed up other methods. These properties are demonstrated by extensively testing against state-of-the-art methods for location recovery on 13 large, irregular collections of images of real scenes in addition to simulated data with ground truth.
Fabrication of Fiber Reinforced Metal by Squeeze Casting : Pressurized Infiltration Process of Molten Aluminum in to Continuous Glass Fiber Bundle (1983)

高圧凝固鋳造法を用いて繊維強化金属を製造するときの製造条件と浸透長さの関係を基礎的に明らかにするため,加圧圧力,繊維温度およびラム速度を変えて,一方向ガラス繊維束への溶融A1の浸透長さを実験的に求めた。つぎに浸透過程のモデルを考え,浸透停止条件を仮定し,ダルシーの法則を適用して浸透長さを予測したところ,実験値とよく一致した。これによって,一般的に浸透長さを予測する方法を提案した。
Precoding design and user selection for multibeam satellite channels (2015)

Precoding for the downlink of a multibeam satellite system has been recently shown, under ideal conditions, to be promising technique towards employing aggressive frequency reuse gainfully. However, time varying phase uncertainties imposed by the components and the channel, combined with delayed feedback perturbs the channel state information at the transmitter (CSIT). In this paper, we consider a power constrained robust formulation of the downlink precoding problem to counter the phase uncertainties. In particular it considers imposing conditions on the average signal to interference plus noise ratio (SINR), to deal with imperfect CSIT. In addition to the robust formulation, the primacy of user selection is highlighted and a new approach exploiting the satellite system design is proposed. Performance of the derived robust precoder in conjunction with the proposed location based user selection is then evaluated and the gains are tabulated.
Loss of Hematopoietic Cell–Derived Oncostatin M Worsens Diet-Induced Dysmetabolism in Mice (2023)

Innate immune cells infiltrate growing adipose tissue and propagate inflammatory clues to metabolically distant tissues, thereby promoting glucose intolerance and insulin resistance. Cytokines of the IL-6 family and gp130 ligands are among such signals. The role played by oncostatin M (OSM) in the metabolic consequences of overfeeding is debated, at least in part, because prior studies did not distinguish OSM sources and dynamics. Here, we explored the role of OSM in metabolic responses and used bone marrow transplantation to test the hypothesis that hematopoietic cells are major contributors to the metabolic effects of OSM. We show that OSM is required to adapt during the development of obesity because OSM concentrations are dynamically modulated during high-fat diet (HFD) and Osm−/− mice displayed early-onset glucose intolerance, impaired muscle glucose uptake, and worsened liver inflammation and damage. We found that OSM is mostly produced by blood cells and deletion of OSM in hematopoietic cells phenocopied glucose intolerance of whole-body Osm−/− mice fed a HFD and recapitulated liver damage with increased aminotransferase levels. We thus uncovered that modulation of OSM is involved in the metabolic response to overfeeding and that hematopoietic cell–derived OSM can regulate metabolism, likely via multiple effects in different tissues. ARTICLE HIGHLIGHTS
Blood Pressure and Inflammation in Apparently Healthy Men (2001)

Inflammation plays an important role in the development of atherosclerosis, but the specific stimuli governing cytokine release in atherogenesis are unknown. We examined the hypothesis that hypertension may increase the risk of atherosclerosis via proinflammatory effects. In a cross-sectional study involving 508 apparently healthy men, we studied the association between blood pressure and baseline plasma concentrations of 2 inflammatory markers, intercellular adhesion molecule-1 (sICAM-1) and interleukin-6 (IL-6). Increase in systolic blood pressure (SBP) (P=0.003), pulse pressure (PP) (P=0.019), and mean arterial pressure (P=0.014) was significantly associated with levels of sICAM-1. All of these measures of blood pressure, as well as diastolic blood pressure (DBP), were significantly associated with levels of IL-6 (all, P</=0.001). In multiple linear regression models controlled for age and other cardiac risk factors, SBP (7.6 ng/mL per 10 mm Hg, P=0.016) and PP (8.13 ng/mL per 10 mm Hg, P=0.038) were significantly associated with sICAM-1 levels, whereas SBP (0.11 pg/mL per 10 mm Hg, P<0.001), DBP (0.11 pg/mL per 10 mm Hg, P=0.008), PP (0.10 pg/mL per 10 mm Hg, P=0.009), and mean arterial pressure (0.15 pg/mL per 10 mm Hg, P<0.001) had similar strong relationships with log-transformed IL-6 levels. Therefore, in apparently healthy men, we observed significant graded relationships between blood pressure and levels of sICAM-1 as well as IL-6. These data suggest that increased blood pressure may be a stimulus for inflammation and that this is a possible mechanism underlying the well-established role of hypertension as a risk factor for atherosclerotic disease.
Differentiable graphics with TensorFlow 2.0 (2019)

course Share on Differentiable graphics with TensorFlow 2.0 Authors: Paige Bailey View Profile , Sofien Bouaziz View Profile , Shan Carter View Profile , Josh Gordon View Profile , Christian Häne View Profile , Alexander Mordvintsev View Profile , Julien Valentin View Profile , Martin Wicke View Profile Authors Info & Claims SIGGRAPH '19: ACM SIGGRAPH 2019 CoursesJuly 2019 Article No.: 10Pages 1–211https://doi.org/10.1145/3305366.3328041Published:28 July 2019Publication History 1citation837DownloadsMetricsTotal Citations1Total Downloads837Last 12 Months39Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Oxygen Ordering and Mobility in YBaCo4O7+δ (2009)

Extraordinary oxygen ordering and mobility have been found in an oxygen-nonstoichiometric mixed-valence cobalt oxide, YBaCo(4)O(8.5). The excess oxygen atoms appear to be incorporated in an orderly way into the YBaCo(4)O(7) parent lattice with different configurations as the oxygen content varies. Intense electron-beam irradiation was used to observe recurrent oxygen migration in the lattice, causing reversible structural modulation transitions. The oxygen migration can be attributed mainly to the electron-beam heating effect. This study highlights the high degree of freedom of surplus oxygen within the investigated structure and advances our understanding of the oxygen diffusion process in related transition-metal oxide systems.
Synthesis of PEGylated Magnetic Nanoparticles With Different Core Sizes (2012)

Tailoring the properties of superparamagnetic nanoparticles (MNPs) is essential for various nano-based biological applications. Having control over the properties of the MNPs permits a maximum flexibility. Starting from monodisperse iron oxide MNPs produced by thermal decomposition, we report on the optimization and characterization of a first and second seed mediated growth step by varying the surfactant amount and by optimizing the heating steps. We demonstrate the ability to gradually increase the size of crystalline MNPs from 6 over 9 to 12 nm with an improving monodispersity as demonstrated by Transmission Electron Microscopy, Dynamic Light Scattering and X-ray diffraction. The magnetic properties of the MNPs, studied by Vibrating Sample Magnetometry, were in concert with their size increase. We also show the functionalization of these particles with polyethylene glycolated silanes, to render the MNPs stable in water. Different characterization techniques, namely Transmission Electron Microscopy, Dynamic Light Scattering, Fourier-transform InfraRed, Thermo gravimetric analysis and X-ray Photoelectron Spectroscopy, confirmed the successful engraftment of the silanes on the MNP's surface. In conclusion, the proposed route of step-wise synthesis in combination with silane functionalization allows fine tuning the physical properties of iron oxide MNPs for applications in an aqueous environment.
Identification of a gene encoding a putative phosphotransferase system enzyme IIBC in Listeria welshimeri and its application for diagnostic PCR (2004)

The PCR employing L. welshimeri-specific primers shows promise as a useful method for differentiating L. welshimeri from other Listeria species and related bacteria.
UROTENSIN I, A CRF-LIKE NEUROPEPTIDE, STIMULATES ACTH. RELEASE FROM THE TELEOST PITUITARY (1983)

Intraperitoneal injections of urotensin I, a CRF-like neuropeptide isolated from the caudal neurosecretory system of the teleost Catostomus commersoni, ovine CRF and sauvagine all produced significant increases in circulating levels of plasma cortisol in goldfish in which endogenous ACTH secretion was suppressed with betamethasone. In vitro, urotensin I was 2-3 times more potent than CRF or sauvagine in stimulating ACTH release from a superfused goldfish anterior pituitary cell column. These results demonstrate that urotensin I stimulates ACTH release in the goldfish, which suggests that urotensin I or a urotensin I-like peptide may serve as a CRF in teleost fishes.
A new general tumor segmentation framework based on radial basis function energy minimization with a validation study on LIDC lung nodules (2007)

In this paper we describe a new general tumor segmentation approach, which combines energy minimization methods with radial basis function surface modelling techniques. A tumor is mathematically described by a superposition of radial basis functions. In order to find the optimal segmentation we minimize a certain energy functional. Similar to snake segmentation our energy functional is a weighted sum of an internal and an external energy. The internal energy is the bending energy of the surface and can be computed from the radial basis function coefficients directly. Unlike to snake segmentation we do not have to derive and solve Euler-Lagrange equations. We can solve the minimization problem by standard optimization techniques. Our approach is not restricted to one single imaging modality and it can be applied to 2D, 3D or even 4D data. In addition, our segmentation method makes several simple and intuitive user interactions possible. For instance, we can enforce interpolation of certain user defined points. We validate our new method with lung nodules on CT data. A validation on clinical data is carried out with the 91 publicly available CT lung images provided by the lung image database consortium (LIDC). The LIDC also provides ground truth lists by 4 different radiologists. We discuss the inter-observer variability of the 4 radiologists and compare their segmentations with the segmentation results of the presented algorithm.
The Outcome of WARC-92 (1992)

WARC-92 adopted new and changed radio spectrum allocations and associated regulatory measures affecting future telecommunications, broadcasting, and other services. The background and outcomes of the World Administrative Radio Conference are described and the significance of the changes for existing and future services is discussed.
CrossMDA: a Model-driven Approach for Aspect Management (2008)

Abstract: Nowadays, the complexity of software applications has brought new challenges to developers, having to deal with a large number of computational requirements. Among these requirements, those known as crosscutting concerns transpass components boundaries, leading to maintainability and comprehension problems. This paper presents CrossMDA, a framework that encompasses a transformation process to integrate crosscutting concerns in model-oriented systems. It uses the concepts of horizontal separation of concerns from AOP to create independent business and aspect models, integrating those models through MDA transformations (vertical separation of concerns). CrossMDA comprises a development process, a set of services and support tools. The main advantages of this approach are to raise the abstraction level of aspect modeling, to promote the reuse of crosscutting concerns modeled as PIM elements, besides automating the process of mapping the relationship of crosscutting concerns and business models through the process of MDA transformations.
Search for contact interactions and large extra dimensions in dilepton events fromppcollisions ats=7  TeVwith the ATLAS detector (2013)

A search for nonresonant new phenomena, originating from either contact interactions or large extra spatial dimensions, has been carried out using events with two isolated electrons or muons. These events, produced at the LHC in proton-proton collisions at ffiffi ffi s p 7 TeV, were recorded by the ATLAS detector.
High Oxidation State Organometallic Chemistry, A Challenge—the Example of Rhenium (1988)

Abstract Homogeneous catalysis as the major industrial outlet of organometallic basic research has been enjoying great benefit from organotransition metal species that promote bond forming between hydrocarbon fragments. Most of the commercially important processes that serve to produce large‐volume organic feedstock chemicals such as linear α‐olefins (Shell Higher Olefins Process), linear aldehydes (hydroformylation), acetaldehyde (Wacker‐Hoechst), acetic acid (Monsanto), adiponitrile (DuPont hydrocyanation of butadiene) operate at low‐valent metal centers. It is thus hardly surprising that by far the most part of organometallic research during the past few decades has been directed towards an understanding and the improvement of these catalytic reactions as well as towards the related stoichiometric chemistry. As a matter of consequence, our present knowledge on high‐valent organotransition metal compound is comparatively shallow, nor do we know much about the chemical relationship and interconvertability of high and low oxidation states within a given class of compounds. In this article I want to point out some ostensibly challenging perspectives of future organometallic research by describing a novel class of high oxidation state organorhenium compounds as well as by speculating on possible generalizations for other transition metals.
Failure analysis of shallow trench isolated ESD structures (1995)

Scanning-electron microscopes and atomic-force microscopes are used to analyze surface and sub-surface ESD-induced failure mechanisms in 0.25- and 0.5-/spl mu/m shallow trench isolated CMOS technology ESD structures and n-channel MOSFETs; ESD failure-mechanism types are characterized and classified; and additional failure-analysis techniques and tools are discussed.
Gastrointestinal Adenocarcinomas of the Esophagus, Stomach, and Colon Exhibit Distinct Patterns of Genome Instability and Oncogenesis (2012)

A more detailed understanding of the somatic genetic events that drive gastrointestinal adenocarcinomas is necessary to improve diagnosis and therapy. Using data from high-density genomic profiling arrays, we conducted an analysis of somatic copy-number aberrations in 486 gastrointestinal adenocarcinomas including 296 esophageal and gastric cancers. Focal amplifications were substantially more prevalent in gastric/esophageal adenocarcinomas than colorectal tumors. We identified 64 regions of significant recurrent amplification and deletion, some shared and others unique to the adenocarcinoma types examined. Amplified genes were noted in 37% of gastric/esophageal tumors, including in therapeutically targetable kinases such as ERBB2, FGFR1, FGFR2, EGFR, and MET, suggesting the potential use of genomic amplifications as biomarkers to guide therapy of gastric and esophageal cancers where targeted therapeutics have been less developed compared with colorectal cancers. Amplified loci implicated genes with known involvement in carcinogenesis but also pointed to regions harboring potentially novel cancer genes, including a recurrent deletion found in 15% of esophageal tumors where the Runt transcription factor subunit RUNX1 was implicated, including by functional experiments in tissue culture. Together, our results defined genomic features that were common and distinct to various gut-derived adenocarcinomas, potentially informing novel opportunities for targeted therapeutic interventions.
Dataflow representation of data analyses: Toward a platform for collaborative data science (2017)

Data science plays an increasingly important role in solving today's scientific and social challenges. To promote progress toward a cure for multiple sclerosis, the Accelerated Cure Project has created an open repository of biological and survey data on patients with multiple sclerosis. Similar large-scale repositories are being created in other domains. As the open, data-driven model of science proliferates, the research community faces a growing need for a cloud platform for collaborative data science. Such a platform should facilitate collaboration between domain experts and data scientists and possess artificial intelligence capabilities for organizing, recommending, and manipulating data analyses. In this paper, we present some foundational technologies motivated by this vision. Our system automatically extracts a high-level dataflow graph from a data analysis. This graph describes how data flows through an analysis pipeline, including which statistical methods are used and how they fit together. The system requires no special annotations from the data analyst and consumes analyses written in Python using standard tools, such as Scikit-learn and Statsmodels. In this paper, we explain how our system works and how it fits into our larger vision for a collaborative data science platform.
How multiple scattering simulations help for EELS compositional analysis of hard metals and ceramics (2016)

In the manufacturing process of hard metals and ceramics used as tooling materials, there is strong interest to determine the phases formed within the sintered bulk material or the thin coating of this sintered substrate. A compositional analysis of these, frequently sub‐stoichiometric, phases based on electron energy‐loss spectroscopy (EELS) is challenging and requires ‐ besides the knowledge of other parameters ‐ accurate ionization cross‐sections. Most commonly, EELS ionization cross‐sections are derived from analytical models (hydrogenic approximation) or from Hartree Slater oszillator strengths, and hence lack EELS fine‐structure details (ELNES). Since fine‐structures, however, can be indicative of chemical phases, a proper calculation of cross‐sections around the ELNES regime can be beneficial for a more reliable analysis. For this, an alternative route was followed, trying to obtain detailed differential cross‐sections from ab initio multiple scattering calculations, as implemented in the FEFF9 code [1]. With this tool one can calculate EEL spectra (and energy differential cross‐sections) based on Green's functions theory when fed with crystal structure data. One point of interest first of all is how integrated cross‐sections for K‐shell ionization edges between the hydrogenic model, calculated with the SIGMAK3 program [2] and FEFF9 [1] simulations compare with each other (Conditions for calculations were: E 0 = 200 eV; β= 5 mrad, integration window (Δ)= 200 eV starting at the edge's threshold) (Fig.1). This is also interesting in the light of the fact that, over the past decades, hydrogenic calculations have been adjusted to better match experimental data for instance by adjusting the inner‐shell screening constant (s) for non hydrogen‐like atoms [e.g. 3, 4] (Fig.1). Secondly, structural data, needed as input for FEFF, for known phases can be taken from data bases (e.g. FIZ Karlsruhe). Alternate, for materials with unknown structure or undefined phases the atomic positions can be determined by electron diffraction tomography experiments directly from single nano crystalline domains, as shown by Kolb et al. [e.g. 5,6]. In certain cases selected area electron diffraction (SAED) along with diffraction pattern (DP) simulations can help for phase determination of potential EELS reference samples as the example of Ti x SiC 1‐x shows (Fig. 2): three different structures of Ti x SiC 1‐x are described in literature [7]. The different stoichiometries can be distinguished by the length of the c‐axis as there are a different numbers of Ti‐layers between the Si‐layers (Fig. 2.a). SAED does not only reveal epitactic growth of the carbide coating on the corundum substrate (Fig. 2(b, d, e)) but also, when compared to a diffraction simulation (JEMS) the stoichiometry of the coating can be clearly determined as Ti 3 SiC 2 as the distances and intensities of the reflexions match the simulation (Fig. 2(c, f)). The paper will discuss new possibilities in quantification and findings with this approach.
Human dose confirmation for self-expanding intra-abdominal foam (2015)

The use of recently deceased humans demonstrates a novel approach to device evaluation in representative human anatomy, particularly when tissue compliance is critical. Sixty-five milliliters was determined to be the clinically appropriate dose for foam treatment in bleeding human patients.