gebhart/patrepeval huggingface dataset:
General Sequence Teacher–Student Learning (2019)

In automatic speech recognition, performance gains can often be obtained by combining an ensemble of multiple models. However, this can be computationally expensive when performing recognition. Teacher-student learning alleviates this cost by training a single student model to emulate the combined ensemble behaviour. Only this student needs to be used for recognition. Previously investigated teacher-student criteria often limit the forms of diversity allowed in the ensemble, and only propagate information from the teachers to the student at the frame level. This paper addresses both of these issues by examining teacher-student learning within a sequence-level framework, and assessing the flexibility that these approaches offer. Various sequence-level teacher-student criteria are examined in this work, to propagate sequence posterior information. A training criterion based on the Kullback-Leibler (KL)-divergence between context-dependent state sequence posteriors is proposed that allows for a diversity of state cluster sets to be present in the ensemble. This criterion is shown to be an upper bound to a more general KL-divergence between word sequence posteriors, which places even fewer restrictions on the ensemble diversity, but whose gradient can be expensive to compute. These methods are evaluated on the augmented multi-party interaction (AMI) meeting transcription and MGB-3 television broadcast audio tasks.
Reply (2010)

using Ca D = 1.25, a diffusive D CMB that is slightly negative (-86.08) corresponds to a positive one in blood (62.6); this last being underestimated.The convective B CMB is more negative, as a consequence of higher weight gain related to the session with Ca D = 1.25 (2.7 kg) in comparison with that with Ca D = 1.5 (1.4 kg).The resulting global D CMB is slightly positive (31.64), indicating a little calcium transfer from blood to dialysate mainly for convective component, and near neutral diffusive CMB when using our lower dialysate calcium concentration.
Remote Monitoring and Diagnostics of Blade Health in Commercial MW-Scale Wind Turbines Using Electrical Signature Analysis (ESA) (2020)

Rotor blade damage and/or failure is a common occurrence in wind turbines that is very costly and can lead to substantial downtime. If a remote monitoring technology is developed, it can give an early warning about blade anomalies before catastrophic failures occur, maintenance process can be largely improved, and downtime and losses can be minimized. In this paper, an condition-based blade health remote monitoring and diagnostics (RM&D) solution using Electrical Signature Analysis (ESA) is proposed, where an electrical signature, pitch motor current obtained from existing pitch control platform, is used, and a natural-frequency-based blade health index is introduced. This solution can be directly applied to both existing and new wind turbine fleets and give wind farm operators an early warning before catastrophic failure occurs. It is hardware-free, zero added-cost, and has minimum impacts on turbine normal operation, and has been demonstrated by both simulation and field data from North America MW-scale wind farms. This approach turns out to be the first ESA-based effort to remotely monitor and diagnose blade defects for commercial MW-scale wind turbines.
ChemInform Abstract: A Mild Preparation of Vinyl Iodides from Vinylsilanes. (1997)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
On-Chip Multimode Photonics (2012)

We design and demonstrate an integrated multimode waveguide platform with minimal inter-modal crosstalk on silicon. This platform is designed using computer-optimized transformation optics and fabricated using high aspect ratio grayscale lithography with ultra high precision.
Supplementary Figure 1 from Complete Regression of Metastatic Renal Cell Carcinoma by Multiple Injections of Engineered Mesenchymal Stem Cells Expressing Dodecameric TRAIL and HSV-TK (2023)

&lt;p&gt;PDF file - 122K, Phenotype of na�ve and engineered MSCs&lt;/p&gt;
Effect of Fabric Patterns on Electrotextile Patch Antennas (2005)

Two different electrotextile antennas made of the same e-textile material, but of different structure, are compared. Details of the fabric construction of the electrotextiles and their effect on the efficiency of the e-textile patch antennas are discussed. Finally, one fully-fabric patch antenna is demonstrated for potential WLAN applications. This fabric antenna with measured gain of 6.59 dB and impedance bandwidth of 3.4% is comparable to a standard rigid patch antenna of similar structure and dimension.
Diagnosis, Classification and Management of Mast Cell Activation Syndromes (MCAS) in the Era of Personalized Medicine (2020)

Mast cell activation (MCA) is seen in a variety of clinical contexts and pathologies, including IgE-dependent allergic inflammation, other immunologic and inflammatory reactions, primary mast cell (MC) disorders, and hereditary alpha tryptasemia (HAT). MCA-related symptoms range from mild to severe to life-threatening. The severity of MCA-related symptoms depends on a number of factors, including genetic predisposition, the number and releasability of MCs, organs affected, and the type and consequences of comorbid conditions. In severe systemic reactions, MCA is demonstrable by a substantial increase of basal serum tryptase levels above the individual's baseline. When, in addition, the symptoms are recurrent, involve more than one organ system, and are responsive to therapy with MC-stabilizing or mediator-targeting drugs, the consensus criteria for the diagnosis of MCA syndrome (MCAS) are met. Based on the etiology of MCA, patients can further be classified as having i) primary MCAS where <i>KIT</i>-mutated, clonal, MCs are detected; ii) secondary MCAS where an underlying IgE-dependent allergy or other reactive MCA-triggering pathology is found; or iii) idiopathic MCAS, where neither a triggering reactive state nor <i>KIT</i>-mutated MCs are identified. Most severe MCA events occur in combined forms of MCAS, where <i>KIT</i>-mutated MCs, IgE-dependent allergies and sometimes HAT are detected. These patients may suffer from life-threatening anaphylaxis and are candidates for combined treatment with various types of drugs, including IgE-blocking antibodies, anti-mediator-type drugs and MC-targeting therapy. In conclusion, detailed knowledge about the etiology, underlying pathologies and co-morbidities is important to establish the diagnosis and develop an optimal management plan for MCAS, following the principles of personalized medicine.
Direct Sampling for Extreme Events Generation and Spatial Variability Enhancement of Weather Generators (2022)

Weather generators based on resampling simulate new time series of weather variables by reordering the observed values such that the statistics of the simulated data are coherent with the observed ones. These weather generators are fully data-driven and simple to implement, do not rely on parametric distributions, and can reproduce the dynamics among the weather variables under analysis. However, although the simulated time series is new, the produced weather fields at arbitrary timesteps are copies of the weather fields found in the training dataset. Consequently, the spatial variability of simulations is restricted. Furthermore, these weather generators cannot create weather fields with out-of-sample extreme values because the scope of the resampling method is constrained to the observed values. In this work, we embedd the Direct Sampling algorithm — a data-driven method for producing simulations — into resampling-based weather generators to improve the spatial variability of the produced weather fields, and for generating extreme weather fields. We increase the spatial variability by applying Direct Sampling as a post-processing step on the weather generator outputs. Furthermore, we produce out-of-sample extreme weather fields using Direct Sampling in two ways: 1) applying quantile mappings on the Direct Sampling simulations for a given return period, and 2) using a set of control points jointly with Direct Sampling with values informed by return period analysis. We validate our approach using precipitation, temperature, and cloud cover weather-fields time series datasets, for a region in northwest India. The results are analyzed using a set of statistical and connectivity metrics.
Tin Silsesquioxanes as Models for the “Open” Site in Tin‐Containing Zeolite Beta (2015)

Abstract The use of biomass as a resource to produce value‐added products has garnered significant interest as a means of reducing reliance on fossil fuels. This task is complicated by the complex, highly functionalized nature of abundant biomass derivatives, such as glucose. Tin‐containing zeolite Beta (Sn‐Beta) can selectively isomerize glucose to fructose through a 1,2‐intramolecular hydride shift (1,2‐HS) or selectively produce mannose through a 1,2‐intramolecular carbon shift (1,2‐CS) by titration of the silanol groups with sodium (Na‐Sn‐Beta). To understand the structure–activity relationships between the conditions of the active sites in the zeolite, two molecular models (tin silsesquioxanes) of the tin sites in the zeolite were synthesized. Tin silsesquioxanes that contain an octahedral tin site with and without an adjacent silanol group selectively form fructose through a 1,2‐HS and mannose through a 1,2‐CS, respectively, and provide further evidence for the nature of the active sites in Sn‐Beta.
ChemInform Abstract: Direct Epoxidation of Fluorinated Olefins Using the F2‐H2O‐CH3CN System. (1991)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Fixed-Point Model Development Assistant Tool (2016)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Development of the software using fixed-point arithmetic is known to be tedious and error-prone. Difficulty of selecting the correct data type can outwear software developers. The common retreats often sought after include manual calculation of the approximate ranges, exhaustive simulations with extreme input values and conservative development approach by using excessive word length. The first two retreats - manual calculation and exhaustive simulations - increase the software development time, and the third retreat - conservative development - leads to the excessive memory (RAM and ROM) utilization by the software. The model-based development environment such as the Simulink has graphical nature to the software with flow of data defined by connecting signal lines. The model-based software therefore gives an opportunity to trace signal flow in the software. Input-tracing method is presented to trace the flow of the input signals of the user selected block in the software model. Input signals are traced up to the point where data is having well defined range and resolution. Software developers often use data dictionary to define range and resolution of parameters, input signals and output signals of the software models. The interval arithmetic is then performed along the traced input signal paths to determine range and resolution of the output of the user selected block. Equations of &lt;i&gt;QI&lt;/i&gt; - number bits for integer and &lt;i&gt;QF&lt;/i&gt; - number of bits for fraction are then used to determine data type of the output signal of the user selected block. This process of determining data type of the output of a block can be repeated for several blocks in the model. The process is automated by using MATLAB m-script to simplify software development. Application of the assistant tool is demonstrated to give error-free software models with extremely high time and cost savings.&lt;/div&gt;&lt;/div&gt;
Integrated treatment using intraperitoneal radioimmunotherapy and positron emission tomography-guided surgery with 64Cu-labeled cetuximab to treat early- and late-phase peritoneal dissemination in human gastrointestinal cancer xenografts (2018)

Peritoneal dissemination is a common cause of death from gastrointestinal cancers and is difficult to treat using current therapeutic options, particularly late-phase disease. Here, we investigated the feasibility of integrated therapy using <sup>64</sup>Cu-intraperitoneal radioimmunotherapy (ipRIT), alone or in combination with positron emission tomography (PET)-guided surgery using a theranostic agent (<sup>64</sup>Cu-labeled anti-epidermal growth factor receptor antibody cetuximab) to treat early- and late-phase peritoneal dissemination in mouse models. In this study, we utilized the OpenPET system, which has open space for conducting surgery while monitoring objects at high resolution in real time, as a novel approach to make PET-guided surgery feasible. <sup>64</sup>Cu-ipRIT with cetuximab inhibited tumor growth and prolonged survival with little toxicity in mice with early-phase peritoneal dissemination of small lesions. For late-phase peritoneal dissemination, a combination of <sup>64</sup>Cu-ipRIT for down-staging and subsequent OpenPET-guided surgery for resecting large tumor masses effectively prolonged survival. OpenPET clearly detected tumors (≥3 mm in size) behind other organs in the peritoneal cavity and was useful for confirming the presence or absence of residual tumors during an operation. These findings suggest that integrated <sup>64</sup>Cu therapy can serve as a novel treatment strategy for peritoneal dissemination.
Observation of Point Defects in Niobium Oxides by High Resolution E.M. (1973)

Under highly controlled imaging condition, some structural information haso been obtained from some transition metal oxides at a resolution of about 3Å and also an unknown structure has been derived in some cases from the high resolution microscope images. Those images have been interpreted to some extent by using a weak phase object approximation. The fact that faulted regions can be imaged as well as ordered regions suggests that a dynamical scattering of electron can be treated by a column approximation. where effects of all diffracted beams are confined within a column of about 3-5Å diameter through the crystal. It can therefore be expected that point defects within lines of atoms along the incident beam direction will be imaged at this resolution.
Integrating wireless LAN and cellular data for the enterprise (2003)

The Internet Roaming solution for corporate wireless data users integrates mobile networking across private WLANs, public WLANs, and cellular data networks.
Metal ion binding sites composed of multiple nitrogenous heterocycles. Synthesis and spectral and structural study of bis(2,2',2''-tripyridylamine)copper(II) bis(trifluoromethanesulfonate) and its bis(acetonitrile) adduct (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMetal ion binding sites composed of multiple nitrogenous heterocycles. Synthesis and spectral and structural study of bis(2,2',2''-tripyridylamine)copper(II) bis(trifluoromethanesulfonate) and its bis(acetonitrile) adductPatricia L. Dedert, Jeffery S. Thompson, James A. Ibers, and Tobin J. MarksCite this: Inorg. Chem. 1982, 21, 3, 969–977Publication Date (Print):March 1, 1982Publication History Published online1 May 2002Published inissue 1 March 1982https://pubs.acs.org/doi/10.1021/ic00133a020https://doi.org/10.1021/ic00133a020research-articleACS PublicationsRequest reuse permissionsArticle Views220Altmetric-Citations46LEARN 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-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
Collaboration of Kras and Androgen Receptor Signaling Stimulates EZH2 Expression and Tumor-Propagating Cells in Prostate Cancer (2012)

Elevation of the chromatin repression factor enhancer of zeste homolog (EZH2) is associated with progression and poor prognosis in several human cancers including prostate cancer. However, the mechanisms driving EZH2 expression are not fully understood. In this study, we investigated the functional synergy in prostate cancers in mice resulting from activation of the androgen receptor, Kras, and Akt, which drives three of the most frequently activated oncogenic signaling pathways in prostate cancer. Although, any two of these three events were sufficient to promote the formation and progression of prostate cancer, only the synergy of androgen receptor and Kras signaling could elevate EZH2 expression and expand prostate cancer progenitor cells in vivo. Our findings have revealed a genetic mechanism resulting in enhanced EZH2 expression during the progression of aggressive prostate cancer, with important implications for understanding how to target advanced disease where cancer progenitor cells may be critical.
Establishing nonlinearity thresholds with ultraintense X-ray pulses (2016)

X-ray techniques have evolved over decades to become highly refined tools for a broad range of investigations. Importantly, these approaches rely on X-ray measurements that depend linearly on the number of incident X-ray photons. The advent of X-ray free electron lasers (XFELs) is opening the ability to reach extremely high photon numbers within ultrashort X-ray pulse durations and is leading to a paradigm shift in our ability to explore nonlinear X-ray signals. However, the enormous increase in X-ray peak power is a double-edged sword with new and exciting methods being developed but at the same time well-established techniques proving unreliable. Consequently, accurate knowledge about the threshold for nonlinear X-ray signals is essential. Herein we report an X-ray spectroscopic study that reveals important details on the thresholds for nonlinear X-ray interactions. By varying both the incident X-ray intensity and photon energy, we establish the regimes at which the simplest nonlinear process, two-photon X-ray absorption (TPA), can be observed. From these measurements we can extract the probability of this process as a function of photon energy and confirm both the nature and sub-femtosecond lifetime of the virtual intermediate electronic state.
Micro loop heat pipe for mobile electronics applications (2015)

This study demonstrates a new cooling solution for the thermal management of mobile electronics. It uses a micro loop heat pipe (μLHP) with a thickness of 0.6 mm for the evaporator and 1.0 mm for the vapor line, and is designed to fit in the casing of a smartphone. We fabricated a prototype model of the μLHP by a chemical-etching and diffusionbonding process for thin copper plates. Heat from the heatgenerating components was successfully transferred by optimizing the pressure drop in the vapor and condenser lines. Thermal resistance between the μLHP's evaporator and condenser of 0.8 K/W was achieved at 5 W with an evaporator temperature of 50.5 °C for horizontal operation. We confirmed that the orientation does not significantly affect the operation of the μLHP, which is capable of transferring a heat load of up to 15 W despite different orientations.
Neuroendocrine-Related Biochemistry in the Spectrum of Human Lung Cancers (1982)

(1982). Neuroendocrine-Related Biochemistry in the Spectrum of Human Lung Cancers. Experimental Lung Research: Vol. 3, No. 3-4, pp. 209-223.
HIV-1 Tat exacerbates lipopolysaccharide-induced cytokine release via TLR4 signaling in the enteric nervous system (2016)

The loss of gut epithelium integrity leads to translocation of microbes and microbial products resulting in immune activation and drives systemic inflammation in acquired immunodeficiency syndrome (AIDS) patients. Although viral loads in HIV patients are significantly reduced in the post-cART era, inflammation and immune activation persist and can lead to morbidity. Here, we determined the interactive effects of the viral protein HIV-1 Tat and lipopolysaccharide (LPS) on enteric neurons and glia. Bacterial translocation was significantly enhanced in Tat-expressing (Tat+) mice. Exposure to HIV-1 Tat in combination with LPS enhanced the expression and release of the pro-inflammatory cytokines IL-6, IL-1β and TNF-α in the ilea of Tat+ mice and by enteric glia. This coincided with enhanced NF-κB activation in enteric glia that was abrogated in glia from TLR4 knockout mice and by knockdown (siRNA) of MyD88 siRNA in wild type glia. The synergistic effects of Tat and LPS resulted in a reduced rate of colonic propulsion in Tat+ mice treated with LPS. These results show that HIV-1 Tat interacts with the TLR4 receptor to enhance the pro-inflammatory effects of LPS leading to gastrointestinal dysmotility and enhanced immune activation.
Image reconstruction for echo planar imaging with nonequidistant k‐space sampling (1992)

Echo planar imaging is characterized by scanning the 2D k-space after a single excitation. Different sampling patterns have been proposed. A technically feasible method uses a sinusoidal readout gradient resulting is measured data that does not sample k-space in an equidistant manner. In order to employ a conventional 2D-FFT image reconstruction, the data have to be converted to a cartesian grid. This can be done either by interpolation or alternatively by a generalized transformation. Filtering methods are described to minimize ghosting artifact that is typical in echo planar imaging. Results both from computer simulation and from experiments will be presented. Experimental images were obtained using a 2-T whole-body research system.
Using IoT technologies to develop a low-cost smart medicine box (2019)

Internet of Things (IoT) is a paradigm that has provided improvements for the day-to-day of society. This paradigm has been applied in several domains such as ambient assisted living (AAL), energy, transportation, environmental, urban monitoring, and healthcare. In the healthcare domain, IoT offers many advantages, such as enable continuous health monitoring, improve quality life and comfort, among others. A kind of IoT application in this domain is smart medicine box, a device that provides medicines treatment monitoring of users. It allows health professionals to verify users’ treatment compliance and supports decision-making. Most of the smart medicine box projects found in the literature are still expensive and do not address some characteristics of IoT systems such as scalability, latency, time to response, among others. Taking into account this scenario, this work proposes a low-cost IoT system prototype to support users during their medicines manipulation. The proposal employs edge-computing concept to add intermediate layer improving the communication among devices and services.