gebhart/patrepeval huggingface dataset:
PRECLINICAL MODELS OF SHOCK AND SEPSIS: WHAT CAN THEY TELL US? (2005)

The goal of translational research is to transform biologic knowledge into new treatments for human disease. Although preclinical models replicate some of the features of the disease process modeled, they invariably fail to reproduce the complexity of human illness, and by their very experimental nature, they are readily manipulated to maximize evidence of efficacy. The result is that successful translation from preclinical models to clinically effective therapy is uncommon, and that clinical trials are often undertaken without a comprehensive and realistic preclinical portfolio of studies to optimize their design. The lethal and morbid human conditions of sepsis and shock are attractive targets for new therapies and enormously challenging processes to translate because they entail considerable clinical heterogeneity, require emergent effective intervention, and are shaped not only by the initial insult, but by approaches to subsequent resuscitation and support. A colloquium jointly sponsored by the Shock Society and the International Sepsis Forum in June 2004 addressed the challenges of translational research in shock and sepsis. Through a comprehensive review of a broad variety of model approaches, and vigorous debate about the merits of differing strategies, a series of common themes emerged. We concluded that there is no single ideal model of shock or sepsis, but rather a large number of complementary models that recapitulate some discrete features of the disorders while minimizing others. Consequently, successful preclinical investigation mandates the use of a panel of preclinical studies consciously designed to address specific questions of relevance to the clinical setting. A corollary of this conclusion is that preclinical studies can shape concepts of disease and can be used to refine decisions regarding optimal patient populations for therapeutic interventional trials. We further recognized that the design and reporting of preclinical studies is highly variable, thereby limiting effective data interpretation and integration between studies. Hence, greater model standardization would aid in interpreting data and in pooling results into systematic data syntheses: such efforts should be promoted and undertaken.
On the joint design of compressed sensing and network coding for wireless communications (2019)

Abstract Compressed sensing and network coding techniques have seen a widespread interest in many disciplines during the last decade. Recently, a novel idea emerged for the combination of these areas in wireless communications to leverage the benefits from network coding while taking advantage of the correlations in the (sensory) data. The potential gains, such as lower latency for large‐scale sensing scenarios, reduced energy consumption, and a decrease in the amount of data during transmissions, are alluring to many use‐cases. However, a common issue one faces when joining both techniques is encountered in the fact that network coding is designed to operate over finite fields, whereas compressed sensing is mainly concerned with real numbers. This paper studies the impact of compressed sensing on network coding to enable one step decoding for the reconstruction of compressed data. We emphasize and discuss the design of the sensing and coding matrices, as well as the algorithms that enable accurate reconstructions. We employ the KL1p compressed sensing library and the NS3 simulator to evaluate this joint design. Our simulations show that using normalized coefficient matrices drawn from Gaussian distributions has higher efficiency and scalability including, but not limited to, multi‐hop networks, where the recoding feature of network coding can be exploited. Furthermore, the Subspace Pursuit algorithm outperforms the state‐of‐the‐art reconstruction algorithms, with respect to the reconstruction signal‐to‐noise ratio, by more than two folds compared to the other benchmark algorithms in cluster‐based Wireless Sensor Networks, where recoding using real network codes are involved.
ChemInform Abstract: Enantioselective Synthesis of anti‐ and syn‐β‐Hydroxy‐α‐phenyl Carboxylates via Boron‐Mediated Asymmetric Aldol Reaction. (2013)

Abstract The presented approach is the first boron‐mediated asymmetric aldol reaction of phenyl acetates.
SELECTIVE R.T.L.P.C.V.D. OF TUNGSTEN BY SILANE REDUCTION ONPATTERNED PPQ/Si WAFERS (1991)

Organic dielectrics are an attractive alternative to silicon oxide commonly used in multilevel metallization schemes. In this work, tungsten films are selectively deposited on substrates covered by patterned organic dielectric through a Rapid Thermal Low Pressure Chemical Vapor Deposition system by using the WF6-SiH4-H2 gas phase. In the entire range of parameters, α-W is the only phase obtained. The resistivity of the films is about 20 µΩ.cm. The SiH4/WF6 ratio and the deposition temperature appear to be the decisive parameters. With determined optimal experimental conditions (SiH4/WF6 ratio of 3/4 and deposition temperature of 350°C) W films are deposited with a good selectivity at 400 nm/min. These characteristics are improved when the etched area/wafer area ratio (called "load ratio") decreases. Adherence problems limit the thickness of the deposited W films. The maximum thickness is higher when deposition occurs on chromium covered silicon rather than on bare silicon.
Radiation Awareness in Three-Dimensional Wireless Sensor Networks (2012)

This research attempts a first step towards investigating the aspect of radiation awareness in environments with abundant heterogeneous wireless networking. We call radiation at a point of a 3D wireless network the total amount of electromagnetic quantity the point is exposed to, our definition incorporates the effect of topology as well as the time domain, data traffic and environment aspects. Even if the impact of radiation to human health remains largely unexplored and controversial, we believe it is worth trying to understand and control. We first analyze radiation in well known topologies (random and grids), randomness is meant to capture not only node placement but also uncertainty of the wireless propagation model. This initial understanding of how radiation adds (over space and time) can be useful in network design, to reduce health risks. We then focus on the minimum radiation path problem of finding the lowest radiation trajectory of a person moving from a source to a destination point of the network region. We propose three heuristics which provide low radiation paths while keeping path length low, one heuristic gets in fact quite close to the offline solution we compute by a shortest path algorithm. Finally, we investigate the interesting impact on the heuristics' performance of diverse node mobility.
Dermal wound healing-remodeling phase: A biological review (2010)

Though wound healing process is well-researched, this area is poorly known. One reason is that all interactions have not been discovered, the main reason, though, is that the involved processes interact in a very complicated manner with nonlinear feedback. Such complex feedback mechanisms can be easily addressed by mathematical modeling. This paper contains a review of the mathematical modeling of cell interaction with extracellular matrix components during the process of dermal wound healing with focusing on remodeling phase. The models are of partial differential equation type and solved by finite element method.
Recent Trends in the Synthesis of Benzimidazoles From o‐Phenylenediamine via Nanoparticles and Green Strategies Using Transition Metal Catalysts (2019)

Benzimidazole is a heterocyclic moiety of immense importance as it acts as a primary “biolinker” in diverse synthetic routes to obtain bioactive compounds. Substituted benzimidazoles are known to possess a varied range of pharmacological applications, namely, anti‐cancer, anti‐diabetic, anti‐inflammatory, and antiviral like anti‐HIV and anti‐fungal. A number of reviews covering the important aspects of benzimidazoles such as pharmacological activities, SAR studies, and well‐known methods of synthesis have appeared in the literature. However, green synthetic methods particularly using transition metal (TM) catalysts and their nanoparticles, although being more viable and extensively applied by researchers in the present scenario, have not been exclusively and expansively reviewed. Besides this, the vital precursors required for knitting the skeleton of benzimidazole are mainly o ‐aryldiamines. The conventional synthesis generally involved the condensation of these diamines with carbonyl/carboxylic acid derivatives either via high temperature heating or via adding strong acids, mostly resulting in poor yields or mixtures. However, recent trends are replacing these conditions by mild and green conditions through TM catalysts. Therefore, the current review emphasizes on the recent trends adopted in the synthesis of benzimidazoles using condensation reaction of o ‐phenylenediamines and various aldehydes/ester/amide/alcohols with TM in a catalytic role in nanoform and under environmentally benign green conditions.
Performance Evaluation of Cement-Based Surface Coatings (2000)

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Acivicin reduces tumor growth during total parenteral nutrition (TPN). (1987)

Glutamine appears to be an important substrate for tumor growth. Since tumor growth rate may be stimulated by total parenteral nutrition (TPN), we investigated the effect of the glutamine antimetabolite, acivicin, on methylcholanthrene sarcoma growth in rats maintained on TPN or on rat chow. Acivicin treatment significantly reduced tumor growth by 67% in rats receiving TPN and by 71% in rats maintained on chow. Carcass weights were significantly increased by TPN in both acivicin-treated and saline solution-treated tumor-bearing rats. Tumor-carcass ratios were significantly decreased in both groups of acivicin-treated tumor-bearing rats. Acivicin treatment or a similar approach may therefore be useful for stabilizing tumor growth in patients receiving TPN.
Improved Technique for Wireline Oil Sampling of a Tight Carbonate Reservoir in the Partitioned Zone (Kuwait/Saudi Arabia): A Case Study (2010)

Abstract The South Fuwaris Field is located in the Partitioned Zone of Kuwait and Saudi Arabia. The main reservoir is the Lower Cretaceous Ratawi, which commenced production in 1963. The reservoir is an elongated anticlinal structure, with good porosity (15-20%) but low permeability (1-10 md). The Ratawi Oolite was historically ranked as a lower priority compared to Ratawi Limestone due to poor productivity from the vertical wells. In recent years, the well performance has improved significantly through the use of open hole horizontal wells and Electric Submersible Pumps (ESPs). The reservoir is currently undergoing further development, with critical reservoir inputs being reviewed to enhance the reservoir model. One of the key model uncertainties is related to oil properties, as no representative PVT samples had been available. Multiple attempts to collect downhole oil samples using Wireline Formation Tester (WFT) in this reservoir had failed due to low formation permeability, low fracture density and high pressure drawdown. A new technique was developed from comprehensive review of log and core data including: Nuclear Magnetic resonance (NMR) for identification of mobile hydrocarbons, presence or absence of bitumen, estimation of oil viscosity, pore size distribution and permeability with core data integration. Review of sonic and core data to optimise perforation design. Open hole perforation in the zone of interest to bypass the damaged zone, increase the area open to flow and intersect natural fractures. Reduction of perforation damage due to mud reinvasion, through reduction of hydrostatic overbalance (from WFT pressure data) and the replacement of the wellbore mud system with clean completion fluid, during perforation and sampling operations. This paper presents a case study of successful downhole oil sampling in a very tight carbonate reservoir through the use of innovative techniques and detailed job planning. The potential of applying this technique to heavy oil reservoirs within our asset portfolio is under evaluation.
Highly integrated KA-Band Tx frontend module including 8&#x00D7;8 antenna array (2009)

This paper presents the concept and design of a highly integrated KA-band frontend module. In detail, the integration and packaging techniques, which combine the antenna, the RF circuitry and the cooling system within one functional block are discussed. It will be shown that these system concepts can be applied for large antenna arrays as needed to fulfil link budget requirements for the intended satellite communication.
Resource management for scalable disconnected access to Web services (2001)

Article Share on Resource management for scalable disconnected access to Web services Authors: Bharat Chandra Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Mike Dahlin Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Lei Gao Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Amjad-Ali Khoja Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Amol Nayate Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Asim Razzaq Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile , Anil Sewani Department of Computer Sciences, The University of Texas at Austin Department of Computer Sciences, The University of Texas at AustinView Profile Authors Info & Claims WWW '01: Proceedings of the 10th international conference on World Wide WebMay 2001 Pages 245–256https://doi.org/10.1145/371920.372059Online:01 April 2001Publication History 11citation756DownloadsMetricsTotal Citations11Total Downloads756Last 12 Months7Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Smoothing Methods in Statistics (1997)

1. Introduction.- 1.1 Smoothing Methods: a Nonparametric/Parametric Compromise.- 1.2 Uses of Smoothing Methods.- 1.3 Outline of the Chapters.- Background material.- Computational issues.- Exercises.- 2. Simple Univariate Density Estimation.- 2.1 The Histogram.- 2.2 The Frequency Polygon.- 2.3 Varying the Bin Width.- 2.4 The Effectiveness of Simple Density Estimators.- Background material.- Computational issues.- Exercises.- 3. Smoother Univariate Density Estimation.- 3.1 Kernel Density Estimation.- 3.2 Problems with Kernel Density Estimation.- 3.3 Adjustments and Improvements to Kernel Density Estimation.- 3.4 Local Likelihood Estimation.- 3.5 Roughness Penalty and Spline-Based Methods.- 3.6 Comparison of Univariate Density Estimators.- Background material.- Computational issues.- Exercises.- 4. Multivariate Density Estimation.- 4.1 Simple Density Estimation Methods.- 4.2 Kernel Density Estimation.- 4.3 Other Estimators.- 4.4 Dimension Reduction and Projection Pursuit.- 4.5 The State of Multivariate Density Estimation.- Background material.- Computational issues.- Exercises.- 5. Nonparametrie Regression.- 5.1 Scatter Plot Smoothing and Kernel Regression.- 5.2 Local Polynomial Regression.- 5.3 Bandwidth Selection.- 5.4 Locally Varying the Bandwidth.- 5.5 Outliers and Autocorrelation.- 5.6 Spline Smoothing.- 5.7 Multiple Predictors and Additive Models.- 5.8 Comparing Nonparametric Regression Methods.- Background material.- Computational issues.- Exercises.- 6. Smoothing Ordered Categorical Data.- 6.1 Smoothing and Ordered Categorical Data.- 6.2 Smoothing Sparse Multinomials.- 6.3 Smoothing Sparse Contingency Tables.- 6.4 Categorical Data, Regression, and Density Estimation.- Background material.- Computational issues.- Exercises.- 7. Further Applications of Smoothing.- 7.1 Discriminant Analysis.- 7.2 Goodness-of-Fit Tests.- 7.3 Smoothing-Based Parametric Estimation.- 7.4 The Smoothed Bootstrap.- Background material.- Computational issues.- Exercises.- Appendices.- A. Descriptions of the Data Sets.- B. More on Computational Issues.- References.- Author Index.
Pelvic abscess after colon and rectal surgery — What is optimal management? (1993)

Using clinical judgment, if PA is amenable to computerized tomography-guided percutaneous or transperineal drainage, one of these techniques should be attempted initially in the hemodynamically stable nonseptic patient. Long-term functional disability is common after PA in rectosigmoid surgery in patients who undergo pelvic/intestinal anastomosis.
Timing Failure Debug Using Debug-Friendly Scan Patterns and TRE (2008)

Abstract In this paper, we describe a silicon debug flow that uses debug-friendly scan test patterns to improve the efficiency of physical fault isolation of timing failures using time-resolved emission (TRE) system. Several techniques have been developed to generate the debug-friendly test patterns. We further show a silicon debug case of a 90nm design based on the proposed debug flow.
Wards (1942)

Journal Article Wards Get access A. A. Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume 183, Issue 10, 7 November 1942, Page 289, https://doi.org/10.1093/nq/183.10.289 Published: 07 November 1942
Feedforward Transient Control for In-Motion Wireless Power Transfer Using Envelope Model (2019)

In in-motion wireless power transfer (WPT) application, large current overshoot comes into being if the power transmission starts suddenly. For the safety of the equipment, the transient property when the power transmission starts needs to be improved. However, few studies have proposed transient control using accurate circuit models. In this paper, precise envelope modeling of circuit considering the discontinuous current mode of diodes is introduced for transient control. Besides, its application to the voltage trajectory generation with offline calculation is also proposed. The experimental results demonstrate that the proposed method can track reference current trajectory and eliminate the overshoot.
Germanium Quantum Wells for High-Performance Modulators in Silicon Photonics (2007)

Silicon electronics dominates information processing, and offers a remarkable technology for making very complex systems for very little cost. Many of the waveguide passive optical components that we use today in telecommunications, such as wavelength splitters, use the same technology base – the silicon, silicon dioxide and silicon nitride that are the semiconductors and insulators of electronics become the waveguides of optics. The idea of one platform that could integrate everything – electronics, optics, and optoelectronics – is particularly attractive and could transform the applications of photonics. But silicon technology has a major weakness: it does not have strong optoelectronic effects we can use for emitting or modulating light. The mechanisms in silicon are very weak compared to those we use routinely in optoelectronic devices made from the III-V semiconductors like GaAs, InP, and InGaAs. This weakness makes it difficult to put information onto light beams using silicon structures, either for telecommunications applications, or for emerging applications like dense optical interconnects.
Fast three-dimensional random access multi-photon microscopy for functional recording of neuronal activity (2007)

The dendritic processes of neurons have been shown to possess active and dynamic properties that give them the ability to modulate synaptic integration and shape individual synaptic responses. Effectively studying these properties at multiple locations on a live neuron in highly light scattering brain tissue requires an imaging/recording mechanism with high spatio-temporal resolution as well as optical sectioning and random access site selection capabilities. Our lab has made significant steps in developing such a system by combining the spatial resolution and optical sectioning ability of advanced imaging techniques such as confocal and multi-photon microscopy with the temporal resolution and random access capability provided by acousto-optic laser scanning. However, all systems that have been developed to date restrict fast imaging to two-dimensional (2D) scan patterns. This severely limits the extent to which many neurons can be studied since they represent complex three-dimensional (3D) structures. We have previously demonstrated a scheme for fast 3D scanning which utilizes a unique arrangement of acoustooptic deflectors and does not require axial movements of the objective lens. We have also shown how, when used with the ultra-fast laser pulses needed in multi-photon microscopy, this scheme inherently compensates for the spatial dispersion which would otherwise significantly reduce the resolution of acousto-optic based multi-photon microscopy. We have now coupled this scanning scheme to a modified commercial research microscope and use the combined system to effectively image user-defined sites of interest on fluorescent 3D structures with positioning times that are in the low microsecond (&mu;s) range. The resulting random-access scanning mechanism allows for functional imaging of complex 3D structures such as neuronal dendrites at several thousand volumes per second.