gebhart/patrepeval huggingface dataset:
Multi-class connection admission control policy for high speed ATM switches (2002)

Broadband networks based on ATM have to support multiple classes of services with widely different traffic characteristics and quality of services. We propose and develop a multi-class connection admission control (CAC) policy that supports cell loss and delay requirements. In this model-based CAC, the source traffic is described in terms of the usage parameter control (UPC) parameters. Through careful analysis and approximations, we derive simple closed-form formulas to calculate the bandwidth required to meet guarantees on quality of service (QoS). While being robust, the CAC achieves a high level of resource utilization and can be easily implemented for real-time admission control.
Safety and Tolerability Results From the DECIDE Study: A Phase 3 Active-Comparator Study of Daclizumab HYP in Relapsing-Remitting Multiple Sclerosis (P7.230) (2015)

OBJECTIVE: To evaluate the safety and tolerability of daclizumab high-yield process (DAC HYP) in patients with relapsing-remitting multiple sclerosis (RRMS) over a 2-3 year treatment period. BACKGROUND: DAC HYP is a humanized monoclonal antibody specific for the α subunit (CD25) of the interleukin-2 receptor that reversibly modulates interleukin-2 signaling. DESIGN/METHODS: DECIDE was a randomized, double-blind, double-dummy, active-controlled Phase 3 study comparing subcutaneous DAC HYP 150mg once every 4 weeks with intramuscular interferon beta-1a (IFNβ-1a) 30mcg once weekly for 96 to 144 weeks. RESULTS: 1841 patients were randomized and treated (DAC HYP, n=919; IFNβ-1a, n=922). The overall incidence of adverse events (AEs) was similar in both treatment groups (91[percnt]). Excluding MS relapse, there was a higher incidence of serious AEs (15[percnt] and 10[percnt]) and discontinuations due to AEs (14[percnt] and 9[percnt]) in the DAC HYP group versus the IFNβ-1a group, respectively. The most common AEs (蠅10[percnt] excluding MS relapse) in the DAC HYP and IFNβ-1a groups, respectively, were nasopharyngitis (25[percnt] and 21[percnt]), headache (17[percnt] and 19[percnt]), upper respiratory tract infection (16[percnt] and 13[percnt]), pyrexia (11[percnt] and 15[percnt]), urinary tract infection (10[percnt] and 11[percnt]), injection site pain (10[percnt] and 11[percnt]) and influenza-like illness (10[percnt] and 37[percnt]). There were 5 deaths (1 DAC HYP; 4 IFNβ-1a); none were related to study treatment. There was an increased incidence of serious infections (4[percnt] and 2[percnt]), serious cutaneous events (2[percnt] and <1[percnt]), and ALT or AST >5 times the ULN (6[percnt] and 3[percnt]) in the DAC HYP group versus the IFNβ-1a group, respectively. CONCLUSIONS: DAC HYP over a 2-3 year treatment period was associated with an increased risk of infection, cutaneous events, and liver function test elevations that were manageable with standard monitoring and medical care. Study Supported by: Biogen Idec and AbbVie Biotherapeutics.
Automatic video to stereoscopic video conversion (2005)

In this paper a method to convert a monoscopic video movie to a stereoscopic video movie is presented. This method is based on passively acquired video images using a single camera and may be applied in PC based real time system. Current methods for generating single camera stereoscopic videos and ad-hoc standards are based on creating a depth map. The depth map calculation is based on structure from motion methods. In order to work properly the depth map should be very dense and accurate. Otherwise, local deformations may occur. Our proposed method is based on calculating a planar transformation between images in the sequence and relies on the human capability to sense the residual parallax. Therefore it does not depend on calculation of the depth map. This advantage is of great importance when deformation of even small objects is forbidden as in reconnaissance and medical systems. The proposed method generates stereoscopic image pairs. Each pair consists of the original image and a transformed image. The transformed image is generated from another image of the original sequence. That image is selected by the algorithm such that a considerable parallax is developed between the two original frames. The chosen image is then warped using the planar transformation. Our algorithm assumes a good planar transformation approximation between the images. Thus, residual disparities are related to the distance from the average plane. As such, zooming and rotation are eliminated after the warping process, and the eyes integrate the images to 3D scene based on the disparity. The algorithm has been tested and is demonstrated on aerial scenes as well as terrestrial using a hand held camera.
Oriented MFI Membranes by Gel‐Less Secondary Growth of Sub‐100 nm MFI‐Nanosheet Seed Layers (2015)

A zeolite membrane fabrication process combining 2D-zeolite nanosheet seeding and gel-free secondary growth is described. This process produces selective molecular sieve films that are as thin as 100 nm and exhibit record high permeances for xylene- and butane-isomers.
NTSC interframe direct coding scheme by composite motion compensation on hadamard transform (1995)

Abstract As a highly efficient coding scheme for the TV signal, the component coding based on the motion‐compensation DCT is employed widely because of its high coding efficiency. On the other hand, the TV signals in the studio in the broadcast station, etc., are based mostly on the composite TV signal configuration including NTSC. In the composite TV signal, the subcarriers modulated by the chrominance signal are superposed on the luminance signal. Consequently, the algorithm for the component coding cannot be apolied directly. With such a situation as the background, this paper proposes an NTSC direct interframe coding scheme in which the motion compensation can be applied directly to the composite TV signal. the direct coding is realired in the proposed scheme using the composite motion compensation that compensates the phase errors of the color subcarrier component and the chrominance component on the Hadamard transform. It is shown as a result of computer simulation that the motion compensation, with the same efficiency as that of the original luminance/chrominance separated motion compensation DCT, can be realized by directly applying the proposed scheme to the composite TV signal. It is shown also that the generated information content, when there is no distortion, is reduced by approximately 30 percent compared to the original scheme.
MicroRNAs as specific biomarkers for distinguishing between primary and metastatic brain tumors (2008)

13002 Background: A recurring challenge for brain pathologists is to diagnose whether a brain malignancy is a primary tumor or a metastasis from some other origin. The accurate diagnosis of brain malignancies is essential for selection of proper treatment. MicroRNAs are a class of small non-coding RNA species that regulate gene expression; many exhibit tissue-specific expression and are involved in oncogenesis. In this study we examined whether the specific expression of microRNAs may be utilized in the identification and diagnosis of brain malignancies. Methods: We studied the expression profile of human microRNAs in 260 FFPE tumor samples including brain primary tumor samples, non-brain primary tumors, and 50 brain metastases from various tissue origins. We used proprietary protocols for RNA extraction that preserve the microRNA fraction, and profiled microRNA expression on proprietary microRNA microarrays. Results: We identified microRNAs that are differentially expressed specifically in brain primary tumors, as compared to primary tumors from other tissues and their metastases to the brain. By considering the expression of only two of these microRNAs, previously linked to brain development, it was possible to distinguish between primary and metastatic brain tumors with very high accuracy. Conclusions: We identified microRNAs that represent excellent biomarkers for brain primary tumors. Previous reports have found these microRNAs expressed more strongly in developing neurons and brain than in adult brain. Thus, their specific over-expression in brain primary tumors supports a mechanistic role for these microRNAs or a link between neuronal stem cells and brain tumorigenesis. Author Disclosure Employment or Leadership Consultant or Advisory Role Stock Ownership Honoraria Research Expert Testimony Other Remuneration Rosetta Genomics Ltd Rosetta Genomics Ltd
Factors affecting the normal and branched-chain acyl moieties of teicoplanin components produced by Actinoplanes teichomyceticus (1991)

Teicoplanin, a glycopeptide antibiotic produced by Actinoplanes teichomyceticus, comprises five main components, denoted T-A2-1 to T-A2-5, differing in the structure of their acyl side chain, which is linear in T-A2-1 and T-A2-3 and branched in the other components. Production of T-A2-1, characterized by a linear C10:1 acyl moiety, is entirely dependent on the presence of linoleate in the fermentation medium. Addition to the medium of oleic acid esters at 2 g l-1 increases the yields of T-A2-3, characterized by a linear C10:0 acyl chain, about threefold. The antibiotic linear side chains thus appear to originate from C18 unsaturated acid by beta-oxidation degradation. The percentage of T-A2-2, T-A2-4 and T-A2-5, bearing the iso-C10:0, anteiso-C11:0 and iso-C11:0 acyl moieties, respectively, is strongly influenced by the presence in the medium of the amino acids known to be precursors of branched-chain fatty acids. Thus, valine increases the production of T-A2-2 whereas isoleucine or leucine increase the relative yields of T-A2-4 or T-A2-5, respectively. Analysis of the total cell lipids upon addition of the same amino acid shows corresponding increases in the proportion of the iso-C16:0, iso-C15:0 or anteiso-C17:0. A mutant A. teichomyceticus strain, which produces a novel teicoplanin with a linear C9:0 chain, differs from the wild strain in the presence of the linear C17:1 acid in its lipids.(ABSTRACT TRUNCATED AT 250 WORDS)
Effect of Temperature on Firmness of Thermally Processed Fruits and Vegetables (1986)

ABSTRACT The firmness of many commercially canned fruits and vegetables was measured by puncture, extrusion and Texture Press over the temperature range3–48°C. The firmness almost always decreased with increasing temperature and the firmness‐temperature plots were rectilinear. The firmness‐temperature coefficient (FT) is defined as the percent change in firmness per degree temperature increase. It ranged from close to zero to about ‐1.0% for most of the samples tested. The temperature should be kept within narrow limits when making firmness measurements on thermally processed fruits and vegetables, otherwise significant errors can be introduced.
Creation of Nano–Macro‐Interconnected Porosity in a Bioactive Glass–Ceramic by the Melt‐Quench‐Heat‐Etch Method (2007)

We demonstrate that suitable thermal treatment of biocompatible CaO–Na 2 O–P 2 O 5 –SiO 2 glasses prepared by the usual melt‐quench results in spinodal phase separation and crystallization of phases at very different length scales. Selective chemical leaching of these phases allows the formation of interconnected multi‐modal porosity, with pore size ranging from several nanometers to tens of micrometers. Such novel nano–macroporous glasses have potential applications as superior bioscaffolds.
TWO-PHASE TURBINE ENGINES (1979)

A description is given of a two-phase turbine which utilizes a uniform mixture of gas and liquid accelerated in nozzles of the types reported by Elliott and Weinberg (1968). The mixture acts directly on an axial flow or tangential impulse turbine or is separated into gas and liquid streams which operate separately on a gas turbine and a hydraulic turbine. The basic two-phase cycles are examined, taking into account working fluids, aspects of nozzle expansion, details of turbine cycle operation, and the effect of mixture ratio variation. Attention is also given to two-phase nozzle efficiency, two-phase turbine operating characteristics and efficiencies, separator turbines, and impulse turbine experiments.
Resource Allocation in Breeding for Fatty Acid Composition of Soybean Oil<sup>1</sup> (1983)

The objective of this study was to determine the allocation of testing resources that would provide the greatest genetic improvement for fatty acid composition in soybean [ Glycine max (L.) Merr.] oil. Twenty random lines of maturity groups I to III were evaluated in two replications at seven environments in Iowa and Puerto Rico. The percentages of palmitic, stearic, oleic, linoleic, and linolenic acid were determined for two consecutive injections (analyses) of oil into a gas chromatograph from two 20‐seed samples from each of two plants per plot. Heritability estimate averages across fatty acids were 49% on a seed‐sample basis, 55% for plants, 63% for plots, and 93% for entry means. Two consecutive analyses were of little or no value for increasing the heritability of the five fatty acids compared with one analysis of an oil sample. The heritabilities for individual plant evaluation were effectively increased by analyzing more than one seed sample per plant. Evaluation of one sample from multiple plants in a plot was more effective than multiple samples from one plant when evaluating a pure line. Plot‐to‐plot variation was so small that evaluation of multiple plants in one plot was as effective as evaluation of multiple replications. The use of multiple environments was effective for increasing the heritabilities of the five fatty acids.
Satisfying Network Slicing Constraints via 5G MAC Scheduling (2019)

Network slicing provides a key functionality in emerging 5G networks, and offers flexibility in creating customized virtual networks and supporting different services on a common physical infrastructure. This capability critically relies on a MAC scheduler to deliver performance targets in terms of aggregate rates or resource shares for the various slices. A crucial challenge is to enforce such guarantees and performance isolation while allowing flexible sharing to avoid resource fragmentation and fully harness channel variations. In the present paper we propose a MAC scheduler which meets these objectives and preserves the basic structure of utility-based schedulers such as the Proportional Fair algorithm in terms of per-user scheduling metrics. Specifically, the proposed scheme involves counters tracking the aggregate rate or resource allocations for the various slices against pre-specified targets, and computes offsets to the scheduling metrics accordingly. This design provides transparency with respect to other scheduling modules, such as link adaptation and beam-forming. We analytically establish that the proposed scheme achieves optimal overall throughput utility subject to the various slicing constraints. In addition, extensive 3GPP-compliant simulation experiments are conducted to assess the impact on best-effort applications and demonstrate substantial gains in overall throughput utility over baseline approaches.
Antiviral Effects of Small Interfering RNA Simultaneously Inducing RNA Interference and Type 1 Interferon in Coxsackievirus Myocarditis (2012)

Antiviral therapeutics are currently unavailable for treatment of coxsackievirus B3, which can cause life-threatening myocarditis. A modified small interfering RNA (siRNA) containing 5'-triphosphate, 3p-siRNA, was shown to induce RNA interference and interferon activation. We aimed to develop a potent antiviral treatment using CVB3-specific 3p-siRNA and to understand its underlying mechanisms. Virus-specific 3p-siRNA was superior to both conventional virus-specific siRNA with an empty hydroxyl group at the 5' end (OH-siRNA) and nonspecific 3p-siRNA in decreasing viral replication and subsequent cytotoxicity. A single administration of 3p-siRNA dramatically attenuated virus-associated pathological symptoms in mice with no signs of toxicity, and their body weights eventually reached the normal range. Myocardial inflammation and fibrosis were rare, and virus production was greatly reduced. A nonspecific 3p-siRNA showed relatively less protective effect under identical conditions, and a virus-specific OH-siRNA showed no protective effects. We confirmed that virus-specific 3p-siRNA simultaneously activated target-specific gene silencing and type I interferon signaling. We provide a clear proof of concept that coxsackievirus B3-specific 3p-siRNA has 2 distinct modes of action, which significantly enhance antiviral activities with minimal organ damage. This is the first direct demonstration of improved antiviral effects with an immunostimulatory virus-specific siRNA in coxsackievirus myocarditis, and this method could be applied to many virus-related diseases.
Model Agnostic Time Series Analysis via Matrix Estimation (2018)

We propose an algorithm to impute and forecast a time series by transforming the observed time series into a matrix, utilizing matrix estimation to recover missing values and de-noise observed entries, and performing linear regression to make predictions. At the core of our analysis is a representation result, which states that for a large class of models, the transformed time series matrix is (approximately) low-rank. In effect, this generalizes the widely used Singular Spectrum Analysis (SSA) in the time series literature, and allows us to establish a rigorous link between time series analysis and matrix estimation. The key to establishing this link is constructing a Page matrix with non-overlapping entries rather than a Hankel matrix as is commonly done in the literature (e.g., SSA). This particular matrix structure allows us to provide finite sample analysis for imputation and prediction, and prove the asymptotic consistency of our method. Another salient feature of our algorithm is that it is model agnostic with respect to both the underlying time dynamics and the noise distribution in the observations. The noise agnostic property of our approach allows us to recover the latent states when only given access to noisy and partial observations a la a Hidden Markov Model; e.g., recovering the time-varying parameter of a Poisson process without knowing that the underlying process is Poisson. Furthermore, since our forecasting algorithm requires regression with noisy features, our approach suggests a matrix estimation based method-coupled with a novel, non-standard matrix estimation error metric-to solve the error-in-variable regression problem, which could be of interest in its own right. Through synthetic and real-world datasets, we demonstrate that our algorithm outperforms standard software packages (including R libraries) in the presence of missing data as well as high levels of noise.
A single supply DAC with calibrated voltage output (1980)

A DAC compatible with both microprocessor bus and +5V power supply will be described. Chip has 10mW, 25MHz output buffer affording input/output compliance to ground, a current source and switch cell for direct interface to I <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> L. logic, and merged bandgap reference and control amplifier.
Bayou (1996)

The Bayou architecture provides scalability, availability, extensibility, and adaptability features that address database storage needs of world-wide applications. In addition to discussing these features, this paper presents Bayou's mechanisms for permitting the replicas of a database to vary dynamically without global coordination. Key is the use of weak consistency replication among autonomous machines and strict adherence to the tenet that no operation should involve more than two machines.
A hybrid approach for core-based system-level power modeling (2002)

Reducing power consumption has become a key goal for system-on-a-chip (SOC) designs. Fast and accurate power estimation is needed early in the design process, since power reduction methods tend to have greater impact at higher abstraction levels. Unfortunately, current approaches to power estimation which concentrate on register-transfer-level models or lower are quite slow. Higher-level approaches, while faster, may suffer from inaccuracy. However the advent of cores enables a hybrid approach, described in this paper yielding both fast and accurate estimates from high-level models. In particular, we use power estimation data obtained from the gate-level for a core's representative input stimuli data (instructions), and we propagate this data to a higher (object-oriented) system-level model, which is parameterizable and executable. Depending on the kind of cores, various parameterizable equation or look-up table based techniques are used, resulting in self-analyzing core models. We have applied our technique to several cores of a digital camera SOC and have achieved simulation speedups of over 1000 with accuracies suitable for making reliable power-related system-level design decisions. Although we focus on power estimation, our approach can be used for estimating other metrics as well, such as performance and size.
NMR Flow Tube for Online NMR Reaction Monitoring (2014)

In this paper we describe the development of a 5 mm NMR flow tube that can be used in a standard 5 mm NMR probe, enabling the user to conduct experiments on flowing samples or, more specifically, on flowing reaction mixtures. This enables reaction monitoring or kinetic experiments to be conducted by flowing reaction mixtures from a reaction vessel to detection in the coil area of the NMR, without the need for a specialized flow NMR probe. One of the key benefits of this flow tube is that it provides flexibility to be used across a range of available spectrometers of varying magnetic field strengths with a standard 5 mm probe setup. The applicability of this flow tube to reaction monitoring is demonstrated using the reaction of p-phenylenediamine and isobutyraldehyde to form the diimine product.
A novel microRNA-based treatment approach for malignant pleural mesothelioma. (2013)

7586 Background: Malignant pleural mesothelioma (MPM) is recalcitrant to treatment and new approaches are needed. The microRNA miR-16 has been implicated as a tumor suppressor in a range of cancer types, and restoration of miR-16 expression has been shown to inhibit tumor cell proliferation. The miR-16 status in MPM is largely unknown. Methods: MicroRNA expression was analysed by TaqMan-based RT-qPCR in 10 MPM cell lines and 60 tumour specimens consisting of archival blocks from patients undergoing surgery. MicroRNA expression was restored in vitro using mimics corresponding to the sequence of the mature microRNA, and effects on proliferation and target genes were assessed with standard methods. Human xenograft-bearing mice were treated with miR-16 mimics packaged in minicells targeted with EGFR-specific antibodies. Results: Expression of miR-16 was consistently down-regulated in MPM cell lines and MPM tumor specimens as were the co-expressed miR-15a and miR-15b. A decrease of 2- to 5-fold in miR-16 expression was found when MPM cell lines were compared with the normal mesothelial cell line MeT-5A. When tumor specimens were compared with normal pleura, the down-regulation of miR-16 was in the order of 10-fold. Using synthetic miR-16 mimics to restore miR-16 expression in MPM cell lines led to time- and dose-dependent growth inhibition in a panel of MPM cell lines but did not affect growth of MeT-5A. Growth inhibition correlated with cell cycle arrest and concordant down-regulation of miR-16 target genes including Bcl-2 and CCND1. In a series of experiments with nude mice bearing MPM (MSTO-H211) xenografts, intravenous administration of miR-16 mimics packaged in minicells led to consistent and dose-dependent inhibition of tumor growth. Conclusions: Restoring miR-16 expression represents a novel approach to treatment for MPM. Preparations are being made to test miR-16 packaged in minicells as a new treatment approach for patients with recurrent MPM and NSCLC.