gebhart/patrepeval huggingface dataset:
Serialization-Aware Mini-Graphs: Performance with Fewer Resources (2006)

Instruction aggregation - the grouping of multiple operations into a single processing unit - is a technique that has recently been used to amplify the bandwidth and capacity of critical processor structures. This amplification can be used to improve IPC or to maintain IPC while reducing physical resources. Mini-graph processing is a particular instruction aggregation technique that targets dynamically-scheduled superscalar processors and achieves bandwidth and capacity amplification throughout the pipeline. The dark side of aggregation is serialization. External serialization is an effect common to many aggregation schemes. An aggregate cannot issue until all of its external inputs are ready. If the last-arriving input to an aggregate feeds what is not the first instruction, the entire aggregate can be delayed. Mini-graphs additionally suffer from internal serialization. Serialization can degrade performance, sometimes to the point of overwhelming the benefits of aggregation. This paper examines the problem of serialization and serialization-aware aggregation in the context of mini-graphs. An aggressive mini-graph selection scheme that seeks to maximize amplification, produces amplification rates of 38% but, due to serialization, cannot use them to compensate for a 33% reduction in physical resources (i.e., a reduction from 4-way issue to 3-way issue). A conservative selection scheme that avoids serialization by static inspection produces amplification rates of only 20%, making a performance neutral reduction in resources virtually impossible. To reconcile the seemingly conflicting goals of resource amplification and serialization avoidance, this paper develops three schemes that identify and reject mini-graphs with harmful serialization. The most effective of these, slack-profile, uses local slack profiles to reject mini-graphs whose estimated delay cannot be absorbed by the rest of the program. Slack-profile virtually eliminates serialization-induced slowdowns while providing 34% amplification rates. A 3-way issue processor augmented with slack-profile mini-graphs outperforms a 4-way issue processor by an average of 2%
Probing the Mycobacterial Trehalome with Bioorthogonal Chemistry (2012)

Mycobacteria, including the pathogen Mycobacterium tuberculosis, use the non-mammalian disaccharide trehalose as a precursor for essential cell-wall glycolipids and other metabolites. Here we describe a strategy for exploiting trehalose metabolic pathways to label glycolipids in mycobacteria with azide-modified trehalose (TreAz) analogues. Subsequent bioorthogonal ligation with alkyne-functionalized probes enabled detection and visualization of cell-surface glycolipids. Characterization of the metabolic fates of four TreAz analogues revealed unique labeling routes that can be harnessed for pathway-targeted investigation of the mycobacterial trehalome.
Technologies in Multihop Cellular Networks [Guest Editorial] (2007)

The six papers in this special section are devoted to technologies in multi-hop communications services.
Ferromagnetic brachytherapy seed motion in soft tissue: models, measurements and ultrasound detection (2003)

We have previously reported a technique for identifying modified prostate brachytherapy seeds. In this method, an alternating magnetic field is used to vibrate the seeds in situ with micron amplitudes. These vibrations are detected with Power Doppler or other ultrasound signal processing techniques to highlight the seeds in the image. Here we report results of finite-element simulations of seed and tissue motion in response to the magnetically induced forces. Good agreement with measured displacements in a tissue-mimicking phantom is found. Simulated (Field II) Power Doppler ultrasound images based on the finite-element simulations show good agreement with in vitro Power Doppler images. Images of multiple seeds in a single field of view are presented and demonstrate good resolution with the technique.
Role of water in the surface relaxation of the fluorapatite (100) surface by grazing incidence x-ray diffraction (2007)

The structure of the fluorapatite (100) surface in humid ambient ${\mathrm{N}}_{2}$ with grazing incidence x-ray diffraction is investigated and compared with results on the same surface in dry ambient conditions. Measurement of specular and nonspecular crystal truncation rods provided atomic scale information about the surface structure and the adsorption sites of the water molecules. In humid environment (75% relative humidity), a laterally ordered monolayer of four water molecules per unit cell is formed at about 1.8 $(1)\phantom{\rule{0.3em}{0ex}}\mathrm{\AA{}}$ above the relaxed surface reducing the magnitude of atomic relaxations observed on surface in dry conditions.
Liver tumorigenicity promoted by microRNA-221 in a mouse transgenic model (2012)

This study not only establishes that miR-221 can promote liver tumorigenicity, but it also establishes a valuable animal model to perform preclinical investigations for the use of anti-miRNA approaches aimed at liver cancer therapy.
Synthesis of Tetrahydropyrido[2,3‐b]pyrazine Scaffolds from 2,3,5,6‐Tetrafluoropyridine Derivatives. (2007)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Integrative analysis of a phase 2 trial combining lenalidomide with CHOP in angioimmunoblastic T-cell lymphoma (2021)

Angioimmunoblastic T-cell lymphoma (AITL) is a frequent T-cell lymphoma in the elderly population that has a poor prognosis when treated with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) therapy. Lenalidomide, which has been safely combined with CHOP to treat B-cell lymphoma, has shown efficacy as a single agent in AITL treatment. We performed a multicentric phase 2 trial combining 25 mg lenalidomide daily for 14 days per cycle with 8 cycles of CHOP21 in previously untreated AITL patients aged 60 to 80 years. The primary objective was the complete metabolic response (CMR) rate at the end of treatment. Seventy-eight of the 80 patients enrolled were included in the efficacy and safety analysis. CMR was achieved in 32 (41%; 95% confidence interval [CI], 30%-52.7%) patients, which was below the prespecified CMR rate of 55% defined as success in the study. The 2-year progression-free survival (PFS) was 42.1% (95% CI, 30.9%-52.8%), and the 2-year overall survival was 59.2% (95% CI, 47.3%-69.3%). The most common toxicities were hematologic and led to treatment discontinuation in 15% of patients. This large prospective and uniform series of AITL treatment data was used to perform an integrative analysis of clinical, pathologic, biologic, and molecular data. TET2, RHOA, DNMT3A, and IDH2 mutations were present in 78%, 54%, 32%, and 22% of patients, respectively. IDH2 mutations were associated with distinct pathologic and clinical features and DNMT3A was associated with shorter PFS. In conclusion, the combination of lenalidomide and CHOP did not improve the CMR in AITL patients. This trial clarified the clinical impact of recurrent mutations in AITL. This trial was registered at www.clincialtrials.gov as #NCT01553786.
The Role of Intestinal C‐type Regenerating Islet Derived‐3 Lectins for Nonalcoholic Steatohepatitis (2018)

C-type regenerating islet derived-3 (Reg3) lectins defend against pathogens and keep commensal bacteria at a distance. Deficiency of <i>Reg3g</i> and <i>Reg3b</i> facilitates alcohol-induced bacterial translocation and alcoholic liver disease. Intestinal <i>Reg3g</i> is down-regulated in animal models of diet-induced obesity, but the functional consequences for nonalcoholic steatohepatitis (NASH) are unknown. The aim of this study was to investigate the role of Reg3 lectins in NASH. NASH was induced by a Western-style fast-food diet in mice deficient for <i>Reg3g</i> or <i>Reg3b</i> and in transgenic mice overexpressing <i>Reg3g</i> in intestinal epithelial cells (<i>Reg3g</i>Tg). Glucose tolerance was assessed after 18 weeks and insulin resistance after 19 weeks of feeding. After 20 weeks, mice were assessed for features of the metabolic syndrome. Obesity was not different in genetically modified mice compared with their respective wild-type littermates. Glucose intolerance, liver injury, hepatic inflammation, steatosis, fibrosis, and bacterial translocation to mesenteric lymph nodes and to the liver were not different in <i>Reg3g</i>-deficient mice compared with wild-type littermates. Plasma endotoxin levels were higher in <i>Reg3g</i>-deficient mice. <i>Reg3b</i> deficiency protected against glucose intolerance, but liver disease, bacterial translocation, and plasma endotoxin levels were similar to wild-type littermates. Absence of either REG3G or REG3B protein in the ileum was not compensated for by up-regulation of the respective other REG3 protein. Transgenic <i>Reg3g</i> mice also developed liver injury, steatosis, and fibrosis similar to their wild-type littermates. <i>Conclusion:</i> In contrast to alcoholic liver disease, loss of intestinal Reg3 lectins is not sufficient to aggravate diet-induced obesity and NASH. This supports a multi-hit pathogenesis in NASH. Only glucose metabolism is affected by <i>Reg3b</i> deficiency. (<i>Hepatology Communications</i> 2018;2:393-406).
Immersed Boundary Models for Quantifying Flow-Induced Mechanical Stimuli on Stem Cells Seeded on 3D Scaffolds in Perfusion Bioreactors (2016)

Perfusion bioreactors regulate flow conditions in order to provide cells with oxygen, nutrients and flow-associated mechanical stimuli. Locally, these flow conditions can vary depending on the scaffold geometry, cellular confluency and amount of extra cellular matrix deposition. In this study, a novel application of the immersed boundary method was introduced in order to represent a detailed deformable cell attached to a 3D scaffold inside a perfusion bioreactor and exposed to microscopic flow. The immersed boundary model permits the prediction of mechanical effects of the local flow conditions on the cell. Incorporating stiffness values measured with atomic force microscopy and micro-flow boundary conditions obtained from computational fluid dynamics simulations on the entire scaffold, we compared cell deformation, cortical tension, normal and shear pressure between different cell shapes and locations. We observed a large effect of the precise cell location on the local shear stress and we predicted flow-induced cortical tensions in the order of 5 pN/μm, at the lower end of the range reported in literature. The proposed method provides an interesting tool to study perfusion bioreactors processes down to the level of the individual cell's micro-environment, which can further aid in the achievement of robust bioprocess control for regenerative medicine applications.
Unique Challenges Faced by a Child with Standard Risk Leukemia in Post-COVID Era: A Case Report (2022)

Bhayana S, Kalra M, Sachdeva P, Sachdev A, Sachdeva A. Unique Challenges Faced by a Child with Standard Risk Leukemia in Post-COVID Era: A Case Report. Indian J Crit Care Med 2022;26(6):733-735.
Adverse Event Profiles of Platinum Agents: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations (2011)

The results obtained herein were consistent with clinical observations, suggesting the usefulness of the FDA's adverse event reporting system, AERS, and the data mining method used herein.
Research on the Concept of Logistics Volume (2009)

Aiming at the defects of logistics volume study at the present stage, the assumption conditions of logistics volume is proposed in this paper. According to different understandings, this paper explains their meanings and calculation methods separately. This paper compared them from principle, calculation difficulty, application scope, calculation cost etc by tabulation, and has drawn the corresponding conclusion.
Robust 3D Object Tracking from Monocular Images Using Stable Parts (2017)

We present an algorithm for estimating the pose of a rigid object in real-time under challenging conditions. Our method effectively handles poorly textured objects in cluttered, changing environments, even when their appearance is corrupted by large occlusions, and it relies on grayscale images to handle metallic environments on which depth cameras would fail. As a result, our method is suitable for practical Augmented Reality applications including industrial environments. At the core of our approach is a novel representation for the 3D pose of object parts: We predict the 3D pose of each part in the form of the 2D projections of a few control points. The advantages of this representation is three-fold: We can predict the 3D pose of the object even when only one part is visible; when several parts are visible, we can easily combine them to compute a better pose of the object; the 3D pose we obtain is usually very accurate, even when only few parts are visible. We show how to use this representation in a robust 3D tracking framework. In addition to extensive comparisons with the state-of-the-art, we demonstrate our method on a practical Augmented Reality application for maintenance assistance in the ATLAS particle detector at CERN.
A 2.5GHz delay-based wideband OFDM outphasing modulator in 45nm-LP CMOS (2011)

A 2.5 GHz delay-based CMOS outphasing transmitter for wideband OFDM is presented in 45nm LP CMOS. It dynamically delays LO edges to modulate the phase of two outphasing signals. A Tapped-Delay-Line coarse delay modulator allows delay modulation at the LO rate with no glitches. This is used to implement a 11-bit ΣΔ-dithered θ modulator with phase-domain filtering, and a 9-bit open-loop ϕ modulator. The system meets EVM and ACPR requirements for 802.11g at 2.5GHz.
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling (2021)

Most prior work on task-oriented dialogue systems are restricted to limited coverage of domain APIs. However, users oftentimes have requests that are out of the scope of these APIs. This work focuses on responding to these beyond-API-coverage user turns by incorporating external, unstructured knowledge sources. Our approach works in a pipelined manner with knowledge-seeking turn detection, knowledge selection, and response generation in sequence. We introduce novel data augmentation methods for the first two steps and demonstrate that the use of information extracted from dialogue context improves the knowledge selection and end-to-end performances. Through experiments, we achieve state-of-theart performance for both automatic and human evaluation metrics on the DSTC9 Track 1 benchmark dataset, validating the effectiveness of our contributions.
Epitaxially regrown gaas based photonic crystal surface emitting laser (2011)

An epitaxial regrowth process is used to realise photonic crystal surface emitting lasers emitting at 980nm. We optimise the growth process for void-free infill and demonstrate laser operation via coupling to photonic crystal bands.
Additive Manufacturing Technologies Compared: Morphology of Deposits of Silver Ink Using Inkjet and Aerosol Jet Printing (2015)

We report about a detailed comparison of the additive manufacturing methods inkjet printing (IJP) and aerosol jet printing (AJP). Both technologies are based on the direct-writing approach enabling the non-contact deposition of various materials in flexible patterns, e.g., for printed electronic applications. The deposited pattern elements were classified as (i) drops (IJP) or splats (AJP), (ii) lines, and (iii) squares. These elements can be considered as basic elements of the deposition systems and also of printed electronics. The pattern elements were deposited with IJP and AJP using the same silver nanoparticle ink. After printing, the layers were characterized regarding their morphology by optical and topographical measurement methods as well as regarding their electrical characteristics. It turned out that drops deposited with IJP and splats deposited with AJP can have similar dimensions. However, the shapes of the deposits differ widely. In the case of lines, AJP enables narrower line widths and thinner line thicknesses in comparison to IJP. In IJP, the line morphology varies depending on the direction of the deposition. Finally, the morphology of the deposited lines determines the electrical conductivity. For printed squares, the IJP layers show much higher layer thickness and a different layer topography compared with AJP as result of a higher volume per area deposition of materials.
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. (2018)

We consider an extension of the contextual bandit setting, motivated by several practical applications, where an unlabeled history of contexts can become available for pre-training before the online decision-making begins. We propose an approach for improving the performance of contextual bandit in such setting, via adaptive, dynamic representation learning, which combines offline pre-training on unlabeled history of contexts with online selection and modification of embedding functions. Our experiments on a variety of datasets and in different nonstationary environments demonstrate clear advantages of our approach over the standard contextual bandit.
Uptake of the prostate-specific membrane antigen-targeted PET radiotracer 18F-DCFPyL in elastofibroma dorsi (2017)

This study is the first to report uptake of a PSMA-targeted PET radiotracer in elastofibroma dorsi. Radiotracer uptake in these benign lesions should not be falsely mistaken as sites of metastatic PCa.
Towards Modeling Lean Blow Out in Gas Turbine Flameholder Applications (2004)

The objective of this study was to assess the accuracy of the Large-Eddy Simulation (LES) methodology, with a simple combustion closure based on equilibrium chemistry, for simulating turbulent reacting flows behind a bluff body flameholder. Specifically, the variation in recirculation zone length with change in equivalence ratio was calculated and compared to experimental measurements. It was found that the present LES modeling approach can reproduce this variation accurately. However, it understated the recirculation zone length at the stoichiometric condition. The approach was assessed at the lean blow out (LBO) condition to evaluate its behavior at the lean limit and to analyze the physics of combustion instability.
Neutron Damage and MAX Phase Ternary Compounds (2014)

The Demands of Gen IV nuclear power plants for long service life under neutron radiation at high temperature are severe. Advanced materials that would withstand high temperatures (up to 1000+ C) to high doses in a neutron field would be ideal for reactor internal structures and would add to the long service life and reliability of the reactors. The objective of this work is to investigate the response of a new class of machinable, conductive, layered, ternary transition metal carbides and nitrides - the so-called MAX phases - to low and moderate neutron dose levels.
Compression and fast retrieval of SNP data (2014)

Our compression and decompression algorithms are implemented in a C++ library, are released under the GNU General Public License and are freely downloadable from http://www.dei.unipd.it/~sambofra/snpack.html.
Universal Intelligent Small Cell (UnISCell) for next generation cellular networks (2016)

Exploring innovative cellular architectures to achieve enhanced system capacity and good coverage has become a critical issue towards realizing the next generation of wireless communications. In this context, this paper proposes a novel concept of Universal Intelligent Small Cell (UnISCell) for enabling the densification of the next generation of cellular networks. The proposed novel concept envisions an integrated platform of providing a strong linkage between different stakeholders such as street lighting networks, landline telephone networks and future wireless networks, and is universal in nature being independent of the operating frequency bands and traffic types. The main motivating factors for the proposed small cell concept are the need of public infrastructure re-engineering, and the recent advances in several enabling technologies. First, we highlight the main concepts of the proposed UnISCell platform. Subsequently, we present two deployment scenarios for the proposed UnISCell concept considering infrastructure sharing and service sharing as important aspects. We then describe the key future technologies for enabling the proposed UnISCell concept and present a use case example with the help of numerical results. Finally, we conclude this article by providing some interesting future recommendations.
Modeling, optimization, and validation of an extended-depth-of-field optical coherence tomography probe based on a mirror tunnel (2021)

The diagnostic capability of high-resolution optical coherence tomography (OCT) may be enhanced by using extended depth-of-field (EDOF) imaging that retains high transverse resolution over long depths. A recently developed mirror-tunnel optical probe design (single-mode fiber to multimode fiber to lens structure) that generates coaxially focused modes has been previously shown to enable EDOF for endoscopic OCT applications. Here, we present ray-tracing optical modeling of this optical configuration, which has the potential to guide performance improvement through optimization. The Huygens wave propagation of the field was traced through probe components with initial lengths. The irradiance along the <i>x</i>-<i>z</i> plane was analyzed, yielding an average full width at half-maximum (FWHM) of 9 µm over a 640 µm DOF (defined as the axial range over which the beam's transverse FWHM is maintained). A custom merit function was then defined, based on the focal region illumination intensity profile that yielded the maximum possible depth having a constrained FWHM size. An orthogonal gradient descent optimization algorithm was then applied using this merit function, using the multimode fiber, spacer, and lens lengths as variables. Optimization resulted in a modeled mean 6 µm FWHM spot diameter over an EDOF of 1 mm. Following optimization, a probe was fabricated, and was validated using a custom-built near-field scanning pinhole beam profiler. The experimental results (6 µm mean FWHM over 800 µm EDOF) showed reasonable correspondence to the simulated predictions, demonstrating the potential utility of optical modeling and optimization for improving EDOF performance in mirror-tunnel endoscopic OCT probes.
Role of the esophageal vagus neural pathway in ionizing irradiation-induced seizures in nitric oxide synthase-1 homologous recombinant negative NOS1-/- mice. (2012)

NOS1(-/-) mice represent a model system for dissecting the developmental abnormalities leading to esophageal-mediated TBI-induced seizures.
Reprograming of murine blastocoele formation (1986)

The present study shows that there is communication between reaggregated asynchronous cleavage stage blastomeres that regulates blastocoele formation. Individual blastomeres from eight-cell murine embryos were transferred to empty zonae pellucidae, intact two-cell embryos, or enucleated two-cell embryos, and were examined over a period of 75 hours for development of cavitation. It was found that the isolated blastomeres cavitated concurrently with intact control eight-cell embryos, while intact control two-cell embryos cavitated 24 hours later. However, the embryos resulting from combining a two-cell embryo and a blastomere from an eight-cell embryo cavitated at a time in between the eight- and two-cell controls.
A system for automatic text detection in video (1999)

Video indexing is an important problem that has occupied recent research efforts. The text appearing in video can provide semantic information about the scene content. Detecting and recognizing text events can provide indices into the video for content based querying. We describe a system for detecting, tracking, and extracting artificial and scene text in MPEG-1 video. Preliminary results are presented.