gebhart/patrepeval huggingface dataset:
Teaching NeuroImages: Sulcal artery syndrome (2018)

A 59-year-old man with a history of smoking presented with acute right hemiparesis, pain, and temperature loss on the left below T4 and impaired left-sided abdominal reflexes. Proprioception and vibration were normal. MRI (day 3) showed a short segment of T2 hyperintensity at the right half of C5 spinal cord (figure 1); diffusion-weighted MRI (day 5) demonstrated restricted diffusion (figure 2), confirming hemicord infarct. Sulcal artery occlusion presents with incomplete Brown-Sequard syndrome and is uncommon, unlike the more common anterior spinal artery syndrome.1 It preferentially involves the cervical cord.2 With physiotherapy, aspirin, and statins, this patient recovered well.
Pad-printed thick-film transducers for high-frequency and high-power applications (2011)

High-frequency-ultrasound transducers are widely used but are typically based either on planar piezoceramic sections that are lapped down to smaller thicknesses or on piezopolymers that may be deformed into more complex geometries. Piezoceramics then require dicing to obtain arrays or can be fractured into spherical geometries to achieve focusing. Piezopolymers are not as efficient for very small element sizes and are normally available only in discrete thicknesses. Thick-film (TF) transducers provide a means of overcoming these limits because the piezoelectric film is deposited with the required thickness, size and geometry, thus avoiding any subsequent machining. Thick-film transducers offer the potential of a wide range of geometries such as single-elements and annular or linear arrays. Here, a single-element focused transducer was developed using a piezoceramic composition adapted to high-power operation which is commonly used at standard MHz frequencies. After fabrication, the transducer was characterized. Using specific transmit-receive electronics and a water tank adapted to high-frequency devices, the transducer was excited using a short pulse to evaluate its bandwidth and imaging capabilities. Finally, it was excited by a one-period sine wave using several power levels to evaluate its capacity to produce high-intensity focused ultrasound at frequencies over 20 MHz.
Controller Tuning for Active Queue Management Using a Parameter Space Method (2020)

In recent years, different mathematical models have been proposed for widely used internet control mechanisms. Simple low order controllers (such as PID, and Smith predictor based linear controllers that are easy to implement) are desired for network traffic management. In order to design such simple controllers for Active Queue Management (AQM), delay based linear models have been considered. In this paper we discuss tuning of the PID controllers by using a parameter space method, which computes stability regions of a class of quasi-polynomials in terms of free controller parameters.
Pharmacokinetics of teicoplanin during continuous hemofiltration with a new and a 24-h used highly permeable membrane: rationale for therapeutic drug monitoring-guided dosage (2004)

The results suggest that daily adjustment of the dosage is necessary to achieve sufficient teicoplanin concentrations and a fixed dosage recommendation is not suitable for this drug.
Gene Expression Data for DLBCL Cancer Survival Prediction with A Combination of Machine Learning Technologies (2005)

Gene expression profiles have become an important and promising way for cancer prognosis and treatment. In addition to their application in cancer class prediction and discovery, gene expression data can be used for the prediction of patient survival. Here, we use particle swarm optimization (PSO) to address one of the major challenges in gene expression data analysis, the curse of dimensionality, in order to discriminate high risk patients from low risk patients. A discrete binary version of PSO is used for gene selection and dimensionality reduction, and a probabilistic neural network (PNN) is implemented as the classifier. The experimental results on the diffuse large B-cell lymphoma data set demonstrate the effectiveness of PSO/PNN system in survival prediction.
Interoperability study of fast wireless charging and normal wireless charging of electric vehicles with a shared receiver (2019)

Fast charging of electric vehicles (EVs) has been the trend recently. For conductive charging, normal charging can be realised by an on‐board charger, while fast charging can be realised by a DC charger which is usually off‐board the vehicle. However, for wireless charging, there is a need of a transmitter on the ground and a receiver on the EV side. Therefore, there will be a high‐power receiver and a low‐power receiver in one EV to achieve dual charging capabilities. To reduce the EV‐side cost, weight, and volume, this paper proposes a wireless charging system with a shared receiver compatible of fast wireless charging (FWC) at a small air gap and normal wireless charging (NWC) at a large air gap. The relationship between the coil size and the power level is investigated and a suitable receiver coil size is selected for FWC. The LCC‐LCC topology is selected due to its characteristic of output power proportional to the coupling coefficient. Design procedures of the receiver and transmitters are investigated. The simulations and the experimental results obtained from the downscaled prototype verified the effectiveness of the compatibility design.
SiGe HBTs for application in BiCMOS technology: I. Stability, reliability and material parameters (2001)

Extensive work has been done on the SiGe HBTs for BiCMOS applications recently. The work on stability, reliability, simulation and material parameters is critically examined and reviewed in this part of the review. The work on the design, technology and performance of the HBTs will be discussed in part II of the review.
Global Barriers to the Diagnosis of Multiple Sclerosis (2023)

This study finds pervasive consistent global barriers to early diagnosis of MS. While these barriers reflected a lack of resources in many countries, data also suggest that interventions designed to develop and implement accessible education and training can provide cost-effective opportunities to improve access to early MS diagnosis.
The chromatin remodeling factor SRCAP modulates expression of prostate specific antigen and cellular proliferation in prostate cancer cells (2010)

The SNF2-related CBP activator protein (SRCAP) serves as a coactivator for several nuclear receptors including the androgen receptor (AR). SRCAP is an ATPase that is the core subunit of a large multiprotein complex and was shown to incorporate the histone variant H2A.Z into nucleosomes. In this report, we demonstrate that SRCAP is expressed in the epithelium of normal prostate and in prostate carcinoma cells, and is associated with AR in the nucleus. Using transient transfection assays we demonstrate that SRCAP activates hormone-dependent transcription of the androgen responsive, prostate specific antigen (PSA)-Luciferase reporter gene in human prostate cells. The in vivo occupancy of SRCAP at the endogenous PSA promoter is demonstrated using chromatin immunoprecipitation assays. ShRNA mediated knockdown of SRCAP resulted in decreased H2A.Z binding at the enhancer region of the PSA promoter and decreased expression of PSA in prostate cancer cells. Furthermore, inhibition of SRCAP expression significantly inhibited androgen dependent prostate cancer cell growth. These data identify SRCAP as a physiologically relevant mediator of PSA expression, and demonstrate that SRCAP plays a role in prostate cancer cell proliferation.
Commentary: prognostication of chronic hepatitis B ‐ are Fibrotest and Fibroscan the final answers? (2013)

One of the main jobs of hepatologists is to predict the prognosis of patients with chronic liver diseases. With this knowledge, we determine the need for therapy, hepatocellular carcinoma (HCC) surveillance and screening for varices. Cirrhosis is the most important prognostic factor. In a recent report, de Lédinghen et al. performed fibroscan, fibrotest, FIB-4 and aspartate aminotransferase-to-platelet ratio index in 600 patients with chronic hepatitis B and prospectively studied their clinical outcomes.1 At a median follow-up of 50 months, 25 patients died (13 liver-related) and 4 received liver transplantation. Overall, fibrotest and fibroscan achieved the highest accuracy in prognostication; 97% of patients with liver stiffness below 9 kPa or fibrotest ≤0.73 survived at 5 years. This article adds to the authors’ previous work on the use of non-invasive tests of fibrosis for prognostication in chronic hepatitis C.2 Increased liver stiffness by fibroscan also predicts HCC in patients with viral hepatitis.3, 4 In comparison, although the study by de Lédinghen et al. had reasonable sample size, the small number of clinical events limited accurate estimation of survival data.1 Their findings should be confirmed by studies with larger sample size and longer follow-up. The role of serial non-invasive tests should also be explored. Furthermore, cirrhosis is the most important but not the sole prognostic factor. In chronic hepatitis B patients, high hepatitis B virus (HBV) DNA level is strongly associated with HCC,5 and viral suppression by antiviral therapy can reduce adverse outcomes.6 A few clinical scores have also incorporated cirrhosis, HBV DNA and other clinical factors in predicting the risk of HCC.7-9 It would be interesting to assess whether non-invasive tests of fibrosis could replace radiological cirrhosis in these risk scores. Through refining the predictive role of each clinical parameter, we may eventually achieve accurate prognostication for chronic hepatitis B. Declaration of personal interests: Vincent Wong was an advisory board member of and received paid lecture fee from Gilead. He was also a consultant of Otsuka and Merck, and received travel support from Bristol-Myers Squibb. Declaration of funding interests: None.
Selective Caveolin-1–dependent Endocytosis of Glycosphingolipids (2003)

We studied the endocytosis of fluorescent glycosphingolipid (GSL) analogs in various cell types using pathway-specific inhibitors and colocalization studies with endocytic markers and DsRed caveolin-1 (cav-1). Based on inhibitor studies, all GSLs tested were internalized predominantly (>80%) by a clathrin-independent, caveolar-related mechanism, regardless of cell type. In addition, fluorescent lactosylceramide (LacCer) colocalized with DsRed-cav-1 in vesicular structures upon endocytosis in rat fibroblasts. The internalization mechanism for GSLs was unaffected by varying the carbohydrate headgroup or sphingosine backbone chain length; however, a fluorescent phosphatidylcholine analog was not internalized via caveolae, suggesting that the GSL ceramide core may be important for caveolar uptake. Internalization of fluorescent LacCer was reduced 80-90% in cell types with low cav-1, but was dramatically stimulated by cav-1 overexpression. However, even in cells with low levels of cav-1, residual LacCer internalization was clathrin independent. In contrast, cholera toxin B subunit (CtxB), which binds endogenous GM1, was internalized via clathrin-independent endocytosis in cells with high cav-1 expression, whereas significant clathrin-dependent uptake occurred in cells with low cav-1. Fluorescent GM1, normally internalized by clathrin-independent endocytosis in HeLa cells with low cav-1, was induced to partially internalize via the clathrin pathway in the presence of CtxB. These results suggest that GSL analogs are selectively internalized via a caveolar-related mechanism in most cell types, whereas CtxB may undergo "pathway switching" when cav-1 levels are low.
Solving closely-spaced multipaths via extended Kalman filter in WCDMA downlink receivers (2003)

Delay estimation is an important task in wideband CDMA (WCDMA) receivers. This is a very challenging topic when the successive paths are spaced at less than one chip distance (closely-spaced paths). Traditional delay locked loops (DLLs) are not able to estimate closely-spaced path delays with good accuracy. We introduce an extended Kalman filter (EKF) based algorithm for the estimation of closely-spaced path delays in WCDMA environments. The EKF might be applied either at the sample or at symbol level and it can be also used for the estimation of the complex coefficients of the channel multipaths. The model parameters and the sensitivity to the initialization conditions are described for a practical downlink WCDMA scenario, employing root raised cosine pulse shapes. Simulation results show that EKF is fast convergent both when the estimation is done at symbol or at sample level, and the mean delay error is at most one sample for both cases of oversampling factors of 4 and 8. We show also the conditions when the convergence is not guaranteed.
Estimation of PDE Performance Using a Pulsed Limit Cycle Unsteady Combustion Calculation (2010)

The objective of many research groups around the world is to establish whether Pulse Detonation Engines (PDE’s) can achieve higher operating efficiency than conventional propulsion systems (i.e., gas turbines, ramjets, etc.) In the present study, propulsive performance estimates of a pulsed limit cycle unsteady combustion calculation (PLUCC) are compared with experimental measurements and prior numeric estimates. Comparisons of the model predictions with test measurements from a three-tube experimental PDE rig. Three different configurations were compared, two with a straight tube nozzle and one with a converging nozzle. For these cases, the difference between measured and predicted thrust was within 7%. PLUCC estimates were compared to three external codes. Estimates of fuel specific impulse and specific thrust were compared at two specific Mach numbers of the flight conditions. Results are in agreement within ± 8% for each parameter, for the cases investigated. Fuel specific impulse estimates which are calculated using PLUCC are compared to the GE-GRC Q1D code and DECADE code, for a range of flight Mach numbers (0.75-3.0). The results indicated a good agreement between the codes as the estimates were within ± 6.5% for the flight speeds considered. This greatest difference in results was expected at the highest Mach number where PLUCC is most limited. However, results were more consistent between the codes at lower Mach numbers, as agreement was within 5%. Overall, the results indicate PLUCC is consistent with prior codes at estimating the propulsive performance of a PDE.
Readily Dispersible Chemically Functionalized Reduced Graphene Oxide Nanosheets for Solution-Processable Electrodes and Conductive Coatings (2020)

Reduced graphene oxides (rGO) are a promising class of materials for scalable electrodes and performance enhancing additives; however, commercial deployment of these materials is challenged by their poor solubility and tendency to aggregate. This research demonstrates the grafting of alkyl functional groups onto rGO nanoparticles—an approach that enhances their processability and requires only simple purification processes. Extended reaction times are shown to increase the extent of functionalization as measured by XPS and thermogravimetric analysis. The chemically functionalized rGOs exhibit an enhanced dispersion in numerous solvents, some of which are low boiling point and provide opportunities for solution processing. The alkyl functional groups confer a slight reduction in electrical conductivity from 750 to ≈400 S/cm. This conductivity is sufficient for applications including static charge dissipation, ohmic heating, and electron capacitance tomography. As a demonstration, electrically conductive thin films of the chemically modified rGO nanoparticles are fabricated via solution casting from chloroform. These films exhibit low sheet resistances of 30 Ω/sq and appear tolerant to simulated space radiation generated at the NASA Space Radiation Laboratory.
Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression (2017)

This paper presents novel machine-learning-based methods for estimating the state of charge (SoC) of lithium-ion batteries, which use the Gaussian process regression (GPR) framework. The measured battery parameters, such as voltage, current, and temperature, are used as inputs for regular GPR, whereas the SoC estimate at the previous sample is fed back and incorporated into the input vector for recurrent GPR. The proposed methods consist of two parts. In the first part, training is performed wherein the optimal hyperparameters of a chosen kernel function are determined to model data properties. In the second part, online SoC estimation is carried out according to the trained model. One of the practical advantages of a GPR framework is to quantify estimation uncertainty and, hence, to enable reliability assessment of the battery SoC estimate. The performance of the proposed methods is evaluated by using a simulated dataset and two experimental datasets, one with constant and the other with dynamic charge and discharge currents. The simulations and experimental results show the superiority of the proposed methods in comparison to state-of-the-art techniques including a support vector machine, a relevance vector machine, and a neural network.
Structure, bonding, and chemistry of closo-tetraphosphorus hexakis(methylimide), P4(NCH3)6, and its derivatives. 2. Polymorphs of the monothio derivative (1978)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStructure, bonding, and chemistry of closo-tetraphosphorus hexakis(methylimide), P4(NCH3)6, and its derivatives. 2. Polymorphs of the monothio derivativeF. Albert Cotton, Jean G. Riess, Catherine E. Rice, and B. Ray StultsCite this: Inorg. Chem. 1978, 17, 12, 3521–3525Publication Date (Print):December 1, 1978Publication History Published online1 May 2002Published inissue 1 December 1978https://doi.org/10.1021/ic50190a038Request reuse permissionsArticle Views60Altmetric-Citations12LEARN 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 InReddit PDF (645 KB) Get e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
Cloning and sequencing of the Lactococcus lactis subsp. lactis gene using a PCR-based approach (1994)

The coding region for the dnaK gene from Lactococcus lactis subsp. lactis LM0230 was isolated and sequenced. An internal 789-bp fragment was amplified by the polymerase chain reaction (PCR) using a pair of degenerate oligodeoxyribonucleotide primers designed on the basis of amino acid (aa) sequences conserved in a number of DnaK. This PCR product was cloned, sequenced and used as a Southern hybridization probe to locate the flanking regions of the gene. The sequence of this central region from dnaK was also used to design two sets of inverse PCR primers to amplify, separately, the upstream and downstream regions. The inverse PCR products were then cloned and partially sequenced. The complete nucleotide sequence was obtained from overlapping cloned fragments of the gene and found to consist of a single 1824-bp open reading frame coding for a 602-aa protein. Alignment of the deduced aa sequence with those of other bacterial DnaK showed a high degree of homology and is most similar to the Bacillus megaterium DnaK.
Volatility and High Thermal Stability in Mid-to-Late First-Row Transition-Metal Complexes Containing 1,2,5-Triazapentadienyl Ligands (2013)

Treatment of first-row transition-metal MCl(2) (M = Ni, Co, Fe, Mn, Cr) with 2 equiv of the potassium 1,2,5-triazapentadienyl salts K(tBuNNCHCHNR) (R = tBu, NMe(2)) afforded M(tBuNNCHCHNR)(2) in 18-73% isolated yields after sublimation. The X-ray crystal structures of these compounds show monomeric, tetrahedral molecular geometries, and magnetic moment measurements are consistent with high-spin electronic configurations. Complexes with R = tBu sublime between 155 and 175 °C at 0.05 Torr and have decomposition temperatures that range from 280 to 310 °C, whereas complexes with R = NMe(2) sublime at 105 °C at 0.05 Torr but decompose between 181 and 225 °C. This work offers new nitrogen-rich ligands that are related to widely used β-diketiminate and 1,3,5-triazapentadienyl ligands and demonstrates new complexes with properties suitable for use in atomic-layer deposition.
Using AOP to Monitor and Administer Software for Grid Computing Environments (2006)

Monitoring is a task of collecting measurements that reflect the state of a system. Administration is a collection of tasks for control and manipulation of computer systems. Monitoring and Administering computer Resources (MARS) in a distributed grid computing environment (i.e. a distributed environment for coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations) is an important, expensive, and critical task. We present a novel solution based on applying crosscuts using binary rewriters and an event-based model that allows developers to create non-trivial MARS programs easily and uniformly. Our approach converts low-level API resource calls into system-wide events that MARS programs can monitor. This is accomplished by introducing advice that contains event-generating code at join points in programs that represent computer resources. We categorize low-level resource APIs by imposing a transactional metaphor to simplify the complexity of interactions between resources and to enable reasoning about MARS programs. We report both a case study and simulation that supports the viability of our approach.
Biocatalysis in ionic liquids: batchwise and continuous flow processes using supercritical carbon dioxide as the mobile phase (2002)

A new and environmentally benign protocol for enzymatic reactions in ionic liquids is described using supercritical CO2 as the mobile phase; the products are obtained in solvent-free form and the enzyme/ionic liquid mixture can be recycled in batchwise or continuous flow operations.
Eye-position detection system (2000)

For tracking based autostereoscopic displays an eye position detection system is needed. We built a real-time image processing unit that not only achieves a high level of detection reliability but also is cost effective and can be integrated in a display housing. The device is able to autonomously find the eyes of the user and track them without the need of any markers or special lighting. The system consists of a stereo camera and proprietary DSP-based hardware and software. We describe determination of parameters of the optical system and correction of image distortion as well as algorithmic details. Performance results and future developments are discussed.
Sensing for cents: Low-cost, instrument-free medical diagnostics for the developing world (2013)

Electrochemical sensing coupled with mobile phone technology has the potential to make medical diagnostics accessible to those people who need it most.
Remote Protection Prevents Unwanted Cyclizations with 2‐Aminopyridines. (2006)

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