gebhart/patrepeval huggingface dataset:
Effect of Li[sup +] on the Luminescence Properties of Gd[sub 2]O[sub 3]:Eu Phosphor (2004)

-activated phosphor was synthesized by a combinatorial polymerized-complex method, which was based on the polymeric complex using citric acid and ethylene glycol. The incorporation of divalent metal ion in is not effective for enhancing the luminescence quantum yield. Co-doping with ion leads to an increase of the quantum yield because substitution in the lattice led to a decrease in interstitial oxygen and hence increase in hole concentration. It is indicated that the decrease in interstitial oxygens led to a decrease in the competitive absorption and hence yielded a higher quantum yield. Also, it can be expected that the ions are introduced into the site with higher population in the lattice so that the doped has a higher quantum yield. © 2004 The Electrochemical Society. All rights reserved.
Designing Message-Dependent Deadlock Free Networks on Chips for Application-Specific Systems on Chips (2006)

Networks on chip (NoC) has emerged as the paradigm for designing scalable communication architecture for systems on chips (SoCs). Avoiding the conditions that can lead to deadlocks in the network is critical for using NoCs in real designs. Methods that can lead to deadlock-free operation with minimum power and area overhead are important for designing application-specific NoCs. A major class of deadlocks that occur in NoCs are due to the dependencies among the resources shared by different message types. In this work, we consider the problem of avoiding message-dependent deadlocks during the NoC topology synthesis phase. We show that by considering this issue during topology synthesis, we can obtain a significantly better NoC design than traditional methods, where the deadlock avoidance issue is dealt with separately. Our experiments on several SoC benchmarks show that our proposed scheme provides large reduction in NoC power consumption (an average of 38.5%) and NoC area (an average of 30.7%) when compared to traditional approaches
Multiple VH gene segments encode murine antistreptococcal antibodies. (1984)

Most mouse strains are able to mount a diverse antibody response against group A streptococcal carbohydrate (GAC). We have previously reported that murine anti-GAC antibodies are for the most part restricted to IgM and IgG3 subclasses. In addition, despite extensive heterogeneity in their isoelectric focusing patterns, greater than 50% of A/J anti-GAC antibodies share a common light chain defined by spectrotypic and idiotypic (VK1GAC) criteria. We have used protein and DNA sequencing strategies to examine the genetic basis of diversity in murine anti-GAC antibodies. In particular, we report that, (a) multiple, closely homologous VH gene segments contribute to the generation of anti-GAC antibodies, (b) a common framework sequence, related to the VK27 subgroup, probably defines VK1GAC, and (c) the A/J anti-GAC VH regions and BALB/c anti-inulin VH sequences are 95% homologous at the protein level and are likely encoded by overlapping VH gene families. Lastly, we discuss the genetic mechanisms that might permit the evolution of multiple, closely homologous germline VH gene segments in the context of highly divergent flanking region sequences.
Reaction mechanisms of gaseous organic cations. 20. Reactivity of ionized 3-phenylisoxazol-5(4H)-one (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReaction mechanisms of gaseous organic cations. 20. Reactivity of ionized 3-phenylisoxazol-5(4H)-oneAngelo Liguori, Giovanni Sindona, and Nicola UccellaCite this: J. Org. Chem. 1981, 46, 22, 4450–4453Publication Date (Print):October 1, 1981Publication History Published online1 May 2002Published inissue 1 October 1981https://pubs.acs.org/doi/10.1021/jo00335a025https://doi.org/10.1021/jo00335a025research-articleACS PublicationsRequest reuse permissionsArticle Views171Altmetric-Citations5LEARN 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
NexFET generation 2, new way to power (2011)

In this paper, an integrated NexFET power module is presented to meet requirements on next-generation, high efficiency and high current density DC-DC converters for computer applications. The new power module uses an innovative stacked-die package technology, implements low V <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> power MOSFET in the low-side position, and introduces monolithically integrated components to avoid shoot-through and minimize voltage ringing at the switch node. In synchronous buck application, this power module achieves over 90% efficiency and low switch node ringing at high output current rating (25A) and high operation frequency (1MHz) under 12V input and 1.3V output condition.
The power of spectral density analysis for mapping endogenous BOLD signal fluctuations (2008)

FMRI has revealed the presence of correlated low-frequency cerebro-vascular oscillations within functional brain systems, which are thought to reflect an intrinsic feature of large-scale neural activity. The spatial correlations shown by these fluctuations has been their identifying feature, distinguishing them from fluctuations associated with other processes. Major analysis methods characterize these correlations, identifying networks and their interactions with various factors. However, other analysis approaches are required to fully characterize the regional signal dynamics contributing to these correlations between regions. In this study we show that analysis of the power spectral density (PSD) of regional signals can identify changes in oscillatory dynamics across conditions, and is able to characterize the nature and spatial extent of signal changes underlying changes in measures of connectivity. We analyzed spectral density changes in sessions consisting of both resting-state scans and scans recording 2 min blocks of continuous unilateral finger tapping and rest. We assessed the relationship of PSD and connectivity measures by additionally tracking correlations between selected motor regions. Spectral density gradually increased in gray and white matter during the experiment. Finger tapping produced widespread decreases in low-frequency spectral density. This change was symmetric across the cortex, and extended beyond both the lateralized task-related signal increases, and the established "resting-state" motor network. Correlations between motor regions also reduced with task performance. In conclusion, analysis of PSD is a sensitive method for detecting and characterizing BOLD signal oscillations that can enhance the analysis of network connectivity.
Security implications of adaptive multimedia distribution (2003)

We discuss the security implications of different techniques used in adaptive audio and video distribution. Several sources of variability in the network make it necessary for applications to adapt. Ideally, each receiver should receive media quality commensurate with the capacity of the path leading to it from each sender. Several different techniques have been proposed to provide such adaptation. We discuss the implications of each technique for confidentiality, authentication, integrity, and anonymity. By coincidence, the techniques with better performance also have better security properties.
Infiltrated Photonic Crystal Fibers for Sensing Applications (2018)

Photonic crystal fibers (PCFs) are a special class of optical fibers with a periodic arrangement of microstructured holes located in the fiber's cladding. Light confinement is achieved by means of either index-guiding, or the photonic bandgap effect in a low-index core. Ever since PCFs were first demonstrated in 1995, their special characteristics, such as potentially high birefringence, very small or high nonlinearity, low propagation losses, and controllable dispersion parameters, have rendered them unique for many applications, such as sensors, high-power pulse transmission, and biomedical studies. When the holes of PCFs are filled with solids, liquids or gases, unprecedented opportunities for applications emerge. These include, but are not limited in, supercontinuum generation, propulsion of atoms through a hollow fiber core, fiber-loaded Bose⁻Einstein condensates, as well as enhanced sensing and measurement devices. For this reason, infiltrated PCF have been the focus of intensive research in recent years. In this review, the fundamentals and fabrication of PCF infiltrated with different materials are discussed. In addition, potential applications of infiltrated PCF sensors are reviewed, identifying the challenges and limitations to scale up and commercialize this novel technology.
Geometric feature‐based multimodal image registration of contrast‐enhanced cardiac CT with gated myocardial perfusion SPECT (2009)

The authors have developed a fast and fully automated method for registration of contrast cardiac CT with gated MPS which includes nonlinear cardiac phase matching and is capable of registering these modalities with accuracy <10 mm in 87% of the cases.
F‐Wave (2006)

Abstract F‐waves are recorded responses evoked by antidromic activation of motor neurons. F‐waves play a critical role in the functional evaluation of the peripheral nerve system as well as the central nerve system. Demonstrated clinical diagnostic applications include diabetic neuropathy and lumbosacal radiculopathy. Commonly used F‐wave features are introduced and their clinical application is discussed. A signal processing model for the F‐wave is examined and a framework for automated F‐wave analysis is established. A detailed discussion on using F‐waves for lumbosacral nerve root compression detection is presented. Finally, future biomedical engineering research directions for F‐waves are suggested.
3 - Dimensional Body Measurement Technology (2002)

3 - dimensional body measurement technology, the basis of developing high technology in industry, accelerates digital development of aplparel industry. This paper briefly introduces the history of 3 - dimensional body measurement technology, and recounts the principle and primary structure of some types of 3 - dimensional automatic body measurement system. With this understanding, it discusses prospect of 3- dimensional CAD and virtual technology used in apparel industry.
Chrysophanol Inhibits NALP3 Inflammasome Activation and Ameliorates Cerebral Ischemia/Reperfusion in Mice (2014)

The most effective way to contain cerebral ischemic injury is reperfusion; however, reperfusion itself may result in tissue injury, for which inflammatory damage is one of the main causative factors. NALP3 inflammasome is a multiprotein complex. It consists of NALP3, ASC, and caspase-1, whose function is to switch on the inflammatory process. Chrysophanol is an extract from plants of Rheum genus and it possesses many pharmacological effects including its anti-inflammation activity. In this study, the effects of chrysophanol in cerebral ischemia/reperfusion and the potential mechanisms were investigated. Male CD1 mice were subject to transient middle cerebral artery occlusion (tMCAO). The NALP3 inflammasome activation status and its dynamic expression during the natural inflammatory response induced by tMCAO were first profiled. The neuroprotective effects of chrysophanol were then assessed and the potential mechanisms mediating the observed neuroprotection were then explored. Physical parameters including neurological deficit, infarct size, brain edema, and BBB permeability were measured at 24 h after tMCAO. Confocal microscopy, Western blotting, immunohistochemistry, and qRT-PCR techniques were utilized to analyze the expression of NALP3 inflammasome and IL-1 β . Our results indicated that the brain tissue damage during cerebral ischemia/reperfusion is accompanied by NALP3 inflammasome activation. Chrysophanol could inhibit the activation of NALP3 inflammasome and protect cerebral ischemic stroke.
Catedral de Tarragona: anàlisi material, posada en valor i proposta d’interpretació (2012)

Conferència a càrrec de Joan Gavaldà i Jordi Romera sobre la catedral de Tarragona des de l' anàlisi dels materials constructius, en el marc del Congrés Internacional 'Les catedrals catalanes en el context europeu (s. X-XII) : escenaris i escenografies', celebrat a Girona i a Vic els dies 7,8,9 i 10 de novembre de 2012
Framework for assessing the trustworthiness of cloud resources (2012)

Computing power is shifting from local computers to a globally distributed system of servers. Data that used to be stored on the user's machine as well as applications that process this data are now part of the “cloud”. While there are various advantages in doing so such as cost, performance and availability; security and trust relationships now become major issues. For instance, in the cloud, computations (i.e. data processing) are often distributed among multiple servers which are not necessarily controlled by the user or even a single entity. Therefore, the user needs to determine what part of the processing that produced the results can and cannot be trusted. In order to secure individual resources such as individual applications, operating systems and hypervisors in the cloud we have developed a new framework which embeds them in an armor that protects the resources. The armor works by constantly monitoring and evaluating the environment surrounding the armor and checking the resources it is protecting in order to assess the trustworthiness of cloud resources. Based on these assessments and trust relationships with other armor components it makes decisions such as redeployment or migration in the event that resources have been compromised. The framework provides mechanisms for extracting measurements from resources and derives a trustworthiness assessment for each measurement (of whether it has been compromised) based on a rich set of data and meta information from multiple resources and contexts. This includes a rigorous process of how to derive confidence intervals from data by evaluating history, expected behavior and context information. Furthermore, we present a flexible decision scheme which allows for the estimation of belief that a resource has been compromised based on the assessment and confidence intervals of the individual measurements, their meta information and context.
Toward Individualized Breast Cancer Therapy: Translating Biological Concepts to the Bedside (2012)

Abstract The management of breast cancer has changed dramatically over the past 20 years. Based on gene expression profiles, or proteomics of three or four biomarkers, it is apparent that there are multiple subtypes with different clinical characteristics, clinical courses, and sensitivities to existing therapies. This manuscript reviews the management of hormone receptor–positive, human epidermal growth factor receptor 2–positive, and triple-negative breast cancers, emphasizing changes that have occurred in recent years and focusing on potential mechanisms of drug resistance. I also highlight strategies to prevent or overcome resistance to specific therapeutic agents. As a result of enhanced biological understanding of the molecular anomalies that drive the development, progression, and dissemination of breast cancer, a number of novel, molecularly targeted agents have been added to standard therapies. Chemotherapy, endocrine therapy, and targeted treatments have markedly reduced the risk for recurrence and mortality after primary treatment of breast cancer and have increased the 5- and 10-year survival rates. The challenges with novel therapeutics include the absence of accurate predictive biomarkers to identify those patient who will derive substantial benefit and those patients whose tumors are resistant to specific antitumor agents. As we move forward with increasing molecular segmentation of breast cancer and develop new, highly targeted agents, molecular diagnostics must accompany molecular therapeutics to implement the concept of personalized cancer therapy.
Analyses of differential proteome of human synovial fibroblasts obtained from arthritis (2008)

There is mounting evidence indicating that the synovial fibroblasts (SFs) contribute to the pathogenesis of rheumatoid arthritis (RA). The present study showed the differential proteins expression pattern of SFs from patients with RA or osteoarthritis (OA) and healthy control. Cellular proteins of cultured SFs were subjected to 2-DE and visualized by silver nitrate staining. A total of 49 spots that were statistically and differentially overexpressed in RA or OA in comparison to healthy ones were identified by MALDI-TOF-MS, and 25 proteins were successfully identified. Western blot was used to further verify some of the differential proteins. These proteins included enzymatic and structural proteins, signal transduction proteins, calcium binding protein, etc. From all of the identified proteins, a number of proteins have been implicated that involved in the healthy or pathological SFs function (e.g., S100A4, S100A10, cathepsin D) or that have potential diagnostic and prognostic value for RA (alpha-enolase and TPI) or that may be the new therapeutic targets (Annexin, SOD, PRX).
Free radical scavenger effect of rebamipide in sperm processing and cryopreservation. (2003)

Rebamipide is an effective free radical scavenger in semen in vitro.
Fiber Bragg grating sensors for spatially resolved measurements in ex-vivo pancreatic laser ablation (2016)

Laser ablation (LA) is an emerging technology for mini-invasive treatment of tumors, and operates by damaging cancer cells by means of focused light-induced selective heating. In-situ temperature monitoring, with micro-sensors, may be particularly beneficial for both estimating in real-time the LA efficacy, and build prediction and controls for LA procedures. In this paper, we present our latest results on spatially resolved temperature monitoring, based on fiber Bragg grating (FBG). We used in-line FBG arrays based on 6 and 35 FBGs to achieve spatially resolved thermal sensing in LA applied to porcine pancreas. The main experimental results and their implications are hereby discussed.
Brightness of fluorescent organic nanomaterials (2023)

Brightness is a fundamental property of fluorescent nanomaterials reflecting their capacity to absorb and emit light. In sensing materials, brightness is crucial for high-sensitivity (bio)molecular detection, while in optical bioimaging it ensures high spatial and temporal resolution. Fluorescent organic nanoparticles (NPs) are particularly attractive because of their superior brightness compared to organic dyes. With the ever-growing diversity of organic nanomaterials, it is important to establish universal principles for measuring and estimating their brightness. This tutorial review provides definitions of brightness and describes the major approaches to its analysis based on ensemble and single-particle techniques. We present the current chemical approaches to fight Aggregation-Caused Quenching (ACQ) of fluorophores, which is a major challenge in the design of bright organic nanomaterials. The main classes of fluorescent organic NPs are described, including conjugated polymer NPs, aggregation-induced emission NPs, and NPs based on neutral and ionic dyes. Their brightness and other properties are systematically compared. Some brightest examples of bulk solid-state emissive organic materials are also mentioned. Finally, we analyse the importance of brightness and other particle properties in biological applications, such as bioimaging and biosensing. This tutorial will provide guidelines for chemists on the design of fluorescent organic NPs with improved performance and help them to estimate and compare the brightness of new nanomaterials with literature reports. Moreover, it will help biologists to select appropriate materials for sensing and imaging applications.
2.6 A 16nm 3.5B+ Transistor >14TOPS 2-to-10W Multicore SoC Platform for Automotive and Embedded Applications with Integrated Safety MCU, 512b Vector VLIW DSP, Embedded Vision and Imaging Acceleration (2020)

The 7 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> generation Jacinto™ SoC platform is an evolution of prior architectures [1], [2] and integrates new capabilities to support a wide set of applications, including automotive, industrial, and broad market. This drives a diverse set of requirements which need IP innovation and new techniques across the entire SoC stack including: high-reliability techniques for automotive, including circuit analysis and screening; new IP development including new DSP, signal processing and data movement architectures; embedded vision, machine learning, and imaging and video acceleration; new security and safety innovations, including an integrated safety MCU; dedicated security controller, and hardware features to enable ASIL-D support. This SoC platform and first implementation also integrates techniques for simplified power-supply management and support for cost-sensitive systems through on-die micro-architecture solutions.
Corticosteroids in brain cancer patients: benefits and pitfalls (2011)

Glucocorticoids have been used for decades in the treatment of brain tumor patients and belong to the most powerful class of agents in reducing tumor-associated edema and minimizing side effects and the risk of encephalopathy in patients undergoing radiation therapy. Unfortunately, corticosteroids are associated with numerous and well-characterized adverse effects, constituting a major challenge in patients requiring long-term application of corticosteroids. Novel antiangiogenic agents, such as bevacizumab (Avastin®), which have been increasingly used in cancer patients, are associated with significant steroid-sparing effects, allowing neuro-oncologists to reduce the overall use of corticosteroids in patients with progressive malignant brain tumors. Recent experimental studies have revealed novel insights into the mechanisms and effects of corticosteroids in cancer patients, including modulation of tumor biology, angiogenesis and steroid-associated neurotoxicity. This article summarizes current concepts of using corticosteroids in brain cancer patients and highlights potential pitfalls in their effects on both tumor and neural progenitor cells.