gebhart/patrepeval huggingface dataset:
Experiments in automatic meeting transcription using JRTK (2002)

We describe our early exploration of automatic recognition of conversational speech in meetings for use in automatic summarizers and browsers to produce meeting minutes effectively and rapidly. To achieve optimal performance we started from two different baseline English recognizers adapted to meeting conditions and tested the resulting performance. The data were found to be highly disfluent (conversational human to human speech), noisy (due to lapel microphones and environment), and overlapped with background noise, resulting in error rates comparable so far to those on the CallHome conversational database (40-50% WER). A meeting browser is presented that allows the user to search and skim through highlights from a meeting efficiently despite the recognition errors.
Changes in Serum Cytokine Levels in Active Tuberculosis With Treatment (2005)

It has been reported that IFN‐ γ , TNF‐ α , and IL‐12 stimulate, and that IL‐10, TGF‐ β , and IL‐4 suppress the protective immune response against tuberculosis. We aim to evaluate changes in the serum levels of pro and antiinflammatory cytokines in active pulmonary tuberculosis (APTB) and the possible effects of treatment on these changes. Serum IL‐12p40, IL‐4, IL‐10, TNF‐ α , IFN‐ γ , and TGF‐ β 1 levels were determined in 20 APTB cases (group 1) before and 2, 4, and 6 months after therapy. The same parameters were also determined in 9 inactive pulmonary tuberculosis (IPTB) cases (group 2) and 9 healthy controls (HC, group 3). Before treatment, the mean serum IFN‐ γ , TNF‐ α , and IL‐10 levels in group 1 were statistically higher than those in group 2 ( P = .001, P = .024, P = .016, resp) or group 3 ( P = .003, P = .002, P = .011, resp). The levels in group 1 decreased significantly after treatment ( P = .001 for IFN‐ γ , P = .004 for TNF‐ α , P = .000 for IL‐10). The serum levels of IL‐12p40 were significantly higher in group 1 than in group 3 ( P = .012) and decreased insignificantly after treatment. There was no difference in serum IL‐4 and TGF‐ β 1 levels among the groups ( P > .05). Because the serum IL‐12p40, IL‐10, TNF‐ α , and IFN‐ γ levels were high in APTB, we believe that these cytokines have important roles in the immune response to Mycobacterium tuberculosis ( M tuberculosis ). These parameters could be used in follow‐up as indicators of the success of APTB therapy.
Polymer‐Induced incompatibility in the mixed micelle formation of cationic surfactants with bulky polar head groups (2001)

Abstract The conductances of tetradecyltrimethylammonium bromide (TTAB)+tetradecyl triphenylphosphonium bromide (TTPB) mixtures over the entire mole fraction range were measured in aqueous poly(vinyl pyrrolidone) (PVP) containing 1 to 10 wt% of PVP at 30°C. Each conductivity (κ) curve showed a single break corresponding to the mixed micelle formation in the presence of PVP over the whole mole fraction range. From the conductivity data, various micellar parameters in the presence of PVP were computed and discussed in terms of micelle‐polymer interactions. The mixing behavior of TTAB+TTPB in pure water was close to ideal, whereas in the presence of PVP a significant degree of nonideality was sobserved that was evaluated by computing the mole fraction of TTAB in the mixed micelle state ( x 1 ) and the interanction parameter (β) by using the regular solution approach. The former is less than the value in the ideal state, and the latter is much greater, indicating the enhancement in the antagonistic mixing behavior of TTAB+TTPB in the presence of PVP. The results have been explained on the basis of an increase in the incompatibility between the monomers of TTAB and TTPB in the mixed state due to the steric hindrances created by the PVP upon adsorption at the micelle‐solution interface. The results have also been further supported by comparing with those of structurally similar cationic binary combinations in the presence of PVP.
(Inter)national Naming: Heritage, Conflict and Diaspora (2015)

Not available
Freak waves: clues for prediction in ship accidents? (2003)

Description of freak waves is not only important for design work but also for operational purposes it would be of benefit if warnings could be given to mariners. Meteo-centers already provide wave forecast based on spectral wave model. Although a spectrum gives some average description of the sea-state, it might contain additional information indicating an increased probability of occurrence of exceptional waves. To this end a database with 650 ship accidents was extracted from Lloyd’s Marine Information Service database. Their study may help in identifying the ocean areas more prone to bad weather in general and abnormal waves in particular.
Neural networks processing systems in recognition and control problems (1992)

The construction principles and architecture of neural network processing systems (NPSs) are considered. Attention is given to mechatronic system adaptation using NPS-based control, an NPS-based robot adaptive control architecture, threshold-polynomial training algorithms for recognition, and probabilistic training algorithms of logical NPSs for recognition.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Immunology and Molecular Biology of Parasitic Infections (1993)

Section 1: Immune responses to parasitic infections Section 2: Protozoa Section 3: Helminths Section 4: Synopsis of Parasitology
A new type of gallium arsenide field-effect phototransistor (1971)

A gallium-arsenide field-effect phototransistor, which responds to infrared radiation at a wavelength of 1.5 μ will be covered. The device is fabricated from chromium-doped semi-insulating GaAs with a thin epitaxial N-type surface layer.
Safety and efficacy of a novel anti-CD20/CD19 bi-specific CAR T-cell therapy (C-CAR039) in relapsed or refractory (r/r) B-cell non-Hodgkin lymphoma (B-NHL). (2021)

2507 Background: C-CAR039 has been developed as a novel 2nd generation 4-1BB bi-specific CAR-T targeting both CD19 and CD20 antigens with an optimized bi-specific antigen binding domain. C-CAR039 can eradicate CD19/CD20 single or double positive tumor cells in vitro and in vivo. The tissue cross reactivity and whole genome membrane proteome array studies further confirmed the specificity of C-CAR039. Methods: GMP manufacturing of C-CAR039 was carried out in a serum free and fully closed semi-automatic system. Dose escalation and expansion studies were conducted to evaluate the safety and efficacy of C-CAR039 in r/r B-NHL patients. C-CAR039 was administered as a single intravenous dose after a 3-day cyclophosphamide plus fludarabine conditioning regimen. Results: As of 1/31/2021, 28 patients were infused and 25 (DLBCL, n = 22; PMBCL, n = 1; tFL, n = 1; FL, n = 1) were evaluable for safety and efficacy at dose ranges of 1.0 x 10 6 to 5.0x10 6 CAR-T cells/kg. The median age was 54 (range, 28-71) years, median number of prior lines of therapy was 3 (range, 1–5), 76% (19/25) of patients were in Ann Arbor Stage III/IV, and 80% (20/25) were refractory to their last treatment. 5 patients (20%) received bridging therapy. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) were graded according to ASTCT 2019 criteria. Of the 25 patients, 24 (96%) experienced CRS, 23 (92%) were grade 1 or 2, 1 patient was grade 3. Median time to onset of CRS was 3 days (range, 0-10), with median duration of 4 days (range, 1-25). 2 patients had a grade 1 ICANS. Grade≥3 neutropenia, anemia, thrombocytopenia and infection were reported in 88%, 40%, 16% and 0% of patients, respectively. The best overall response rate was 92%, complete response (CR) rate was 84% and median time to response was 1.0 month (range, 0.9-1.2). With a median follow-up of 5.3 months, 76% remained in CR. Kaplan Meyer estimation of PFS at 6 months was 87.3% (95% CI, 71.2 to 100.0). Median duration of response has not been reached. Furthermore, C-CAR039 showed an encouraging cellular kinetic profile. In 25 evaluable patients, the median T max was 11 day, the median C max was 139,497 copies/mg gDNA, and the median AUC 0̃28DAY of 1,673,844 day*copies/μg gDNA. Conclusions: C-CAR039 demonstrated a favorable safety profile and promising efficacy in this early clinical trial in patients with r/r B-NHL that might allow it to differentiate from existing therapies. The early clinical efficacy signal is encouraging and compares favorably to anti-CD19 CAR-T and peer therapies. These findings will be evaluated in more patients with longer follow-up to confirm safety, efficacy and duration of response. Clinical trial information: NCT04317885 , NCT04655677 , NCT04696432 , NCT04693676 .
Selectivity in .beta.-enamino ketone anion generation and alkylation (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSelectivity in .beta.-enamino ketone anion generation and alkylationYuhpyng Liang Chen, Patrick S. Mariano, Garrick M. Little, Daniel O'Brien, and Peter L. HuesmannCite this: J. Org. Chem. 1981, 46, 23, 4643–4654Publication Date (Print):November 1, 1981Publication History Published online1 May 2002Published inissue 1 November 1981https://pubs.acs.org/doi/10.1021/jo00336a002https://doi.org/10.1021/jo00336a002research-articleACS PublicationsRequest reuse permissionsArticle Views873Altmetric-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-Alertsclose Get e-Alerts
Planning-Based Reasoning for Automated Large-Scale Data Analysis (2015)

In this paper, we apply planning-based reasoning to orchestrate the data analysis process automatically, with a focus on two applications: early detection of health complications in critical care, and detection of anomalous behaviors of network hosts in enterprise networks. Our system uses expert knowledge and AI planning to reason about possibly incomplete, noisy, or inconsistent observations, derived from data by deploying an open set of analytics, to generate plausible and consistent hypotheses about the state of the world. From these hypotheses, relevant actions are triggered leading to the deployment of additional analytics, or adaptation of existing analytics, that produce new observations for further reasoning. Planning-based reasoning is enabled by knowledge models obtained from domain experts that describe entities in the world, their states, and relationship to observations. To address the associated knowledge engineering challenges, we propose a modeling language named LTS++ and build an Integrated Development Environment. We also develop a process that provides support and guidance to domain experts, with no planning expertise, in defining and constructing models. We use this modeling process to capture knowledge for the two applications and to collect user feedback. Furthermore, we conduct empirical evaluation to demonstrate the feasibility of our approach and the benefits of using planning-based reasoning in these applications, at large real-world scales. Specifically, in the network monitoring scenario, we show that the system can dynamically deploy and manage analytics for the effective detection of anomalies and malicious behaviors with lead times of over 15 minutes, in an enterprise network with over 2 million hosts (entities).
Multi-view latent variable discriminative models for action recognition (2012)

Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over time, providing important cues to understanding the action. We present multi-view latent variable discriminative models that jointly learn both view-shared and view-specific sub-structures to capture the interaction between views. Knowledge about the underlying structure of the data is formulated as a multi-chain structured latent conditional model, explicitly learning the interaction between multiple views using disjoint sets of hidden variables in a discriminative manner. The chains are tied using a predetermined topology that repeats over time. We present three topologies - linked, coupled, and linked-coupled - that differ in the type of interaction between views that they model. We evaluate our approach on both segmented and unsegmented human action recognition tasks, using the ArmGesture, the NATOPS, and the ArmGesture-Continuous data. Experimental results show that our approach outperforms previous state-of-the-art action recognition models.
Nitric Oxide Inhibition of Adenylyl Cyclase Type 6 Activity Is Dependent upon Lipid Rafts and Caveolin Signaling Complexes (2004)

Several cell types, including cardiac myocytes and vascular endothelial cells, produce nitric oxide (NO) via both constitutive and inducible isoforms of NO synthase. NO attenuates cardiac contractility and contributes to contractile dysfunction in heart failure, although the precise molecular mechanisms for these effects are poorly defined. Adenylyl cyclase (AC) isoforms type 5 and 6, which are preferentially expressed in cardiac myocytes, may be inhibited via a direct nitrosylation by NO. Because endothelial NO synthase (eNOS and NOS3), beta-adrenergic (betaAR) receptors, and AC6 all can localize in lipid raft/caveolin-rich microdomains, we sought to understand the role of lipid rafts in organizing components of betaAR-G(s)-AC signal transduction together with eNOS. Using neonatal rat cardiac myocytes, we found that disruption of lipid rafts with beta-cyclodextrin inhibited forskolin-stimulated AC activity and cAMP production, eliminated caveolin-3-eNOS interaction, and increased NO production. betaAR- and G(s)-mediated activation of AC activity were inhibited by beta-cyclodextrin treatment, but prostanoid receptor-stimulated AC activity, which appears to occur outside caveolin-rich microdomains, was unaffected unless eNOS was overexpressed and lipid rafts were disrupted. An NO donor, SNAP, inhibited basal and forskolin-stimulated cAMP production in both native cardiac myocytes and cardiac myocytes and pulmonary artery endothelial cells engineered to overexpress AC6. These effects of SNAP were independent of guanylyl cyclase activity and were mimicked by overexpression of eNOS. The juxtaposition of eNOS with betaAR and AC types 5 and 6 results in selective regulation of betaAR by eNOS activity in lipid raft domains over other G(s)-coupled receptors localized in nonraft domains. Thus co-localization of multiple signaling components in lipid rafts provides key spatial regulation of AC activity.
Ueber zwei Disulfosäuren des Naphtalins und einige ihrer Derivate (1876)

die Formel I
Selecting programmable space compactors for BIST using genetic algorithms (2002)

With the increasing complexity of modern VLSI circuits, achieving high duality (off-line) built-in self-test requires monitoring an increasingly large number of internal nodes. Due to the limitations in observing large numbers of nodes, it has become increasingly necessary to compact the output from a large number of lines to a small number of lines in a process known as space compaction. Recently, a class of circuit-specific space compactors, known as programmable space compactors (PSCs), has been proposed. Circuit-specific information such as the fault-free and expected faulty behaviour of a circuit can be used to choose PSCs that have better fault coverage and/or lower area costs than the parity function. A drawback of PSCs is the difficulty involved in finding optimal PSCs for a circuit, since the space of possible PSC functions is extremely large and grows exponentially with the number of lines to be compacted. This paper proposes a method for searching for combinational PSCs based upon genetic algorithms. The factors used to assess the effectiveness, or fitness, of a PSC are its fault coverage (estimated by the probability of aliasing) and area. Searches based upon genetic algorithms can find PSCs with better fault coverage and cost characteristics than the parity function using modest computing resources. PSCs with equal or greater fault coverage than the parity function for as little as 20% of the cost (in terms of gate count) were found with an investment of only a few hours of workstation computing time.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Rationale and Design of a Spanish Mulicenter Randomized Controlled Trial of Use of Preoperative Levosimendan to Reduce Low Cardiac Output Syndrome (LCOS) in Low Ejection Fraction (? 35%) Cardiac Surgery Patients Spanish Randomized Clinical Trial on Sindax (Spartans Study) (2020)

Background: Low Cardiac Output Syndrome (LCOS) is a complication that appears in approximately 20%of cardiac surgeries
 with extracorporeal circulation. This is associated with increased mortality, delayed recovery and prolonged hospital stay. The
 Spanish Randomized Clinical Trial on Sindax (SPARTANS) aims to demonstrate the effectiveness of the preoperative use of
 levosimendan in reducing LCOS in patients with poor Left Ventricle Ejection Fraction (LVEF) undergoing elective cardiac
 surgery.
Methods: SPARTANS study is a multicenter, randomized triple-blind, placebo-controlled trial. 300 patients with LVEF ≤ 35%,
 undergoing elective cardiac surgery will be recruited from 9 Spanish hospitals and randomized into two groups: Preoperative
 administration of levosimendan or placebo for 24 hours. The study drug will be started as a continuous infusion (0.1 μg/kg/
 min) at least 8 hours before surgery.
The primary endpoint will be 30-day LCOS. It will be evaluated using any of the following criteria:
1) Postoperated cardiac index ≤ 2.0 L/min/m2, 2) Need to implant a intra-aortic balloon pump/left ventricular assist device,
 3) Vasoactive inotropic scale (VIS) >5.5.
The secondary end-point will be composite event rate at one year including the following events: death from any cause, need
 for renal replacement therapy or dialysis and LCOS.
The sample size is based on the assumption that levosimendan reduces LCOS by 50%.
Conclusion: The effectiveness of levosimendan has not yet been reported with a good evidence in cardiac surgery. We will test
 the hypothesis that levosimendan reduces LCOS in patients with compromised left ventricular function.
Trial registration number: NCT04179604 (ClinicalTrials.gov).
Rationale and Design of a Spanish Mulicenter Randomized Controlled Trial of Use of Preoperative Levosimendan to Reduce Low Cardiac Output Syndrome (LCOS) in Low Ejection Fraction (≤ 35%) Cardiac Surgery Patients Spanish Randomized Clinical Trial on Sindax (Spartans Study)
Simple switching technique for fast PLL frequency synthesisers (1981)

For PLL frequency synthesisers a simple circuit for a deadbeat control strategy is given; with the loop damping removed the initial frequency error is measured over half a cycle of loop oscillation, and then a corrective step of half this is made and the damping replaced.
High Temperature AL-Nanocrystal Alloy Synthesis (2001)

Abstract : Aluminum-rich metallic glasses containing transition metals and rare earth elements have been found to yield finely mixed microstructures of Al nanocrystals embedded in an amorphous matrix and exhibit enhanced fracture strength with several percent strain. Upon primary crystallization of melt spun ribbons, this novel microstructure comprised of a high particle density (> 1020 m3) of Al nanocrystals (2Onm) in an amorphous matrix develops and offers exceptional strength (1500MPa) and high temperature stability (533K). Numerical modeling based upon the size distribution of the Al nanocrystals after isothermal annealing is applied to study the nucleation kinetics in the metallic glasses. In addition to the kinetic study of primary nanocrystallization, the glass transition temperature (T2) has been assessed in Al-7at%Y-5at%Fe and Al-8at%Sm alloys. In usual calorimetric measurements, the thermal response of the primary crystallization often obscures the observation of the signal corresponding to the glass transition. As a result, T2 is often assumed to be near the onset of the primary crystallization reaction (TxAl) However, it has been demonstrated by modulated-temperature calorimetry that this assumption does not apply strictly to the metallic glasses under study. The thermal stabilization of the microstructure by the occurrence of diffusion field impingement allows for the observation of the glass transition of the remaining amorphous phase in the matrix by modulated DSC. The reliable assessment of the glass transition temperature provides not only a ftindamental basis for the kinetics analysis, but also an important parameter in designing suitable annealing treatments that allow for the development of desired microstructures to yield optimized properties.
A web based environment for learning to program (2003)

The purpose of this paper is to describe in detail the current development status of the innovative Environment for Learning to Program (ELP) which provides an interactive web-based environment for teaching programming to the first year Information Technology students at Queensland University of Technology (QUT). ELP allows students to program at the early stages of their course without the need to familiarize themselves with a program development environment. Most importantly, it eliminates all the difficulties associated with installing and running a Java compiler. Using ELP, students learn and develop their problem solving skills by working with program template exercises on the web. ELP provides a learning environment which meets the diverse needs of students.
The processing of antigens delivered as DNA vaccines (2004)

The ability of DNA vaccines to provide effective immunological protection against infection and tumors depends on their ability to generate good CD4+ and CD8+ T-cell responses. Priming of these responses is a property of dendritic cells (DCs), and so the efficacy of DNA-encoded vaccines is likely to depend on the way in which the antigens they encode are processed by DCs. This processing could either be via the synthesis of the vaccine-encoded antigen by the DCs themselves or via its uptake by DCs following its synthesis in bystander cells that are unable to prime T cells. These different sources of antigen are likely to engage different antigen-processing pathways, which are the subject of this review. Understanding how to access different processing pathways in DCs may ultimately aid the rational development of plasmid-based vaccines to pathogens and to cancer.