gebhart/patrepeval huggingface dataset:
Searching for the Optimal Well Spacing in the Eagle Ford Shale: A Practical Tool-Kit (2013)

Summary URTeC 1581750 Four years after the “discovery” of the Eagle Ford shale play, most operators have shifted their efforts from appraisal and delineation, to full-field development. This commonly involves drilling multiple (three to four) horizontal wells, simultaneously from one common surface location (or pad). Inter-well spacing ranges from 330 – 1000 feet across the trend as industry searches for the optimism well spacing for a range Eagle Ford shale thickness, rock-quality, pressure and thermal maturity windows. Pioneer Natural Resources (PXD) has followed this same transition and routinely drills three well pads with approximately 500 foot spacing between wells, which are completed with “zipper-frac” treatments. This paper presents a tool-kit designed in-house and currently employed to monitor well interference, communication and pad performance/drainage efficiency. The ultimate goal of this project is to better understand the reservoir response during hydraulic fracture treatments (at 500 foot. spacing) and use these learnings to positively impact the full field development and by achieving an optimum well spacing. A multidisciplinary technical team has designed an integrated data acquisition “tool-kit” to address the above issues. Essential to the tool-kit are chemical and radioactive tracers, pumped during the stimulation of one or more wells in a given pad. These data help our interpretation of fracture generation, fracture growth and fluid flow/ proppant placement (i.e. proppant distances, fluid distances, and fracture geometry). Several microseismic surveys also assist in the recognition, quantification and distribution of stimulated rock volume. A major portion of this tool-kit includes the monitoring of pressure communication in offset wells during fracture stimulation and flowback/production. Subsequent interference tests over a period of several months allow for a better understanding of the changes in fracture conductivity and effectively propped fractures. Collectively, these data are helping refine our geologic model and confirming the significance of attributes extracted from our 3D seismic data-set. We detail design parameters and practical applications of these tools, while discussing pitfalls and learning from project to date. Our findings have implications for development well planning, well spacing and frac-design.
R-Group reversal of isomer stability for RuH(X)L2(CCHR) vs. Ru(X)L2(CCH2R): access to four-coordinate ruthenium carbenes and carbynes (2000)

NaOPh converts equimolar RuHClL2(CCHR) (L = PPr3i and PCy3) first to RuH(OPh)L2(CCHR), but then, only for R = H, these isomerize to the more stable carbynes Ru(OPh)L2(C–CH3); the rate of isomerization is slowed considerably by THF. RuH(OPh)L2(CCHR) can also be synthesized by reaction of RuCl2L2[CH(CH2R)] with 2 NaOPh; again, only when R = H does the hydrido vinylidene isomerize to the carbyne. While phenoxide converts RuCl2L2(CHPh) to Ru(OPh)L2(CPh), ia the observable intermediates RuCl2−n(OPh)nL2(CHPh), alkoxides OBut and OAdamantyl cause phosphine displacement to give the four-coordinate carbenes Ru(OR)2L(CHPh). DFT (B3PW91) calculations show these d6 species have a traditional cis-divacant octahedral structure with trans OR groups.
Spatial Methods for Multispectral Pansharpening: Multiresolution Analysis Demystified (2016)

The majority of multispectral (MS) pansharpening methods may be labeled as spectral or spatial, depending on whether the geometric details that shall be injected into the interpolated MS bands are extracted from the panchromatic (P) image by means of a spectral transformation of MS pixels or a spatial transformation of the P image, achieved by means of linear shift-invariant digital filters. Spectral methods are known as component substitution; spatial methods are based on multiresolution analysis (MRA). In this paper, the authors show that, under the most general conditions, MRA-based pansharpening is characterized by a unique separable low-pass filter, which can be parametrically optimized based on the modulation transfer function (MTF) of the MS instrument, possibly followed by decimation and interpolation stages. This happens for the discrete wavelet transform (DWT) and its undecimated version (UDWT), for the “à-trous” wavelet (ATW) transform and its decimated version, i.e., the generalized Laplacian pyramid (GLP), and for nonseparable wavelet transforms, such as the nonsubsampled contourlet transform (NSCT). Hybrid methods, in which MRA fusion is performed on the intensity component derived from a spectral transformation, are equivalent to MRA fusion with a specific detail injection model. ATW and GLP are preferable to DWT, UDWT, and NSCT, because of computational benefits and of a looser choice of the low-pass filter, unconstrained from the requirement of generating a perfect reconstruction filter bank. Ultimately, GLP outperforms ATW, because its decimation and interpolation stages allow the aliasing impairments intrinsically present in the original MS bands to be removed from the pansharpened product.
The design and clinical development of inhibitors of glycosphingolipid synthesis: will invention be the mother of necessity? (2013)

The treatment of glycosphingolipid storage diseases by synthesis inhibition was first proposed 40 years ago as an alternative approach to enzyme replacement therapy. We have pursued this strategy through the rational design of potent and selective inhibitors of glucosylceramide synthase, the first step in glycosphingolipid synthesis. Eliglustat tartrate was the result of these efforts and is currently the focus of phase 3 trials for type 1 Gaucher disease. Phase 2 studies showed a reduction in splenomegaly and hepatomegaly and improvements of anemia and thrombocytopenia at levels equivalent to or exceeding the historic response to imiglucerase. Structural analogues of eliglustat have also been designed that lack pgp-1 recognition and cross the blood brain barrier. These may have utility for central nervous system- based sphingolipidoses. Because glycosphingolipids are important regulators of receptor tyrosine kinases, glucosylceramide synthase inhibitors may also be beneficial for disorders such as type 2 diabetes mellitus and polycystic kidney disease.
Aggregated Structures of Rhodamine 6G Intercalated in a Fluor-Taeniolite Thin Film (2002)

To clarify the structure and species of rhodamine 6G (R6G) aggregates formed in taeniolite (TN) interlayer spaces, the oriented thin films of R6G−TN hybrid materials were prepared and analyzed. XRD investigations of these films indicated that the R6G molecules were intercalated in the TN interlayers and that the TN layers were parallel to the glass plate in the thin films. Most of the intercalated R6G molecules were assumed to form various kinds of H-type aggregates in the TN interlayer spaces, since the R6G−TN hybrid films exhibited no emission spectrum by excitation at λ = 530 nm. The peak-deconvolution results of the UV/vis absorption spectra of the hybrid films indicated that there was one kind of H-type R6G dimer in the thin film. Moreover, polarized UV/vis spectroscopy revealed the existence of high-order aggregates in addition to these dimers. The high-order aggregates, but not the dimers, were found to be aligned perpendicularly to the TN surface in the TN interlayer spaces.
Layer-Specific Adaptive Learning Rates for Deep Networks (2015)

The increasing complexity of deep learning architectures is resulting in training time requiring weeks or even months. This slow training is due in part to "vanishing gradients," in which the gradients used by back-propagation are extremely large for weights connecting deep layers (layers near the output layer), and extremely small for shallow layers (near the input layer), this results in slow learning in the shallow layers. Additionally, it has also been shown that in highly non-convex problems, such as deep neural networks, there is a proliferation of high-error low curvature saddle points, which slows down learning dramatically [1]. In this paper, we attempt to overcome the two above problems by proposing an optimization method for training deep neural networks which uses learning rates which are both specific to each layer in the network and adaptive to the curvature of the function, increasing the learning rate at low curvature points. This enables us to speed up learning in the shallow layers of the network and quickly escape high-error low curvature saddle points. We test our method on standard image classification datasets such as MNIST, CIFAR10 and ImageNet, and demonstrate that our method increases accuracy as well as reduces the required training time over standard algorithms.
Differential affine motion estimation for medical image registration (2000)

We have applied techniques from differential motion estimation in the context of automatic registration of medical images. This method uses optical-flow and Fourier technique for local/global registration. A six parameter affine model is used to estimate shear, rotation, scale and translation. We show the efficacy of this method with images of similar and different contrasts.
Growth of bacteria in inoculated platelets: implications for bacteria detection and the extension of platelet storage (2000)

These experiments suggest that an assay capable of detecting 10(2) CFU per mL on Day 3 of storage would detect the vast majority of bacterially contaminated platelet units, prevent many cases of platelet-associated bacterial sepsis, and provide a scientific basis for the extension of the current platelet storage time. It would be expected that a rare, slow-growing organism could escape such a detection scheme.
Maternal sodium butyrate supplement elevates the lipolysis in adipose tissue and leads to lipid accumulation in offspring liver of weaning-age rats (2016)

These results indicate that a maternal SB supplement during pregnancy and the lactation period promotes maternal fat mobilization, which may result in fatty acid uptake and lipid accumulation in the liver of the offspring.
Concurrency analysis in the presence of procedures using a data-flow framework (1991)

Article Concurrency analysis in the presence of procedures using a data-flow framework Share on Authors: Evelyn Duesterwald Department of Computer Science, University of Pittsburgh, Pittsburgh, PA Department of Computer Science, University of Pittsburgh, Pittsburgh, PAView Profile , Mary Lou Soffa Department of Computer Science, University of Pittsburgh, Pittsburgh, PA Department of Computer Science, University of Pittsburgh, Pittsburgh, PAView Profile Authors Info & Claims TAV4: Proceedings of the symposium on Testing, analysis, and verificationOctober 1991 Pages 36–48https://doi.org/10.1145/120807.120811Online:01 October 1991Publication History 61citation481DownloadsMetricsTotal Citations61Total Downloads481Last 12 Months15Last 6 weeks2 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 AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
T cell growth factors from adult T cell leukemia virus‐transformed cell lines (1984)

Some characteristics of T cell growth factors derived from adult T cell leukemia virus (ATLV)-transformed cell lines, MT 1 and MT 2 were analyzed. MT 1 cells release significant interleukin 2 (IL 2) activity into the culture medium, which showed the same elution pattern of gel filtration and isoelectric focusing of IL 2 from lectin-stimulated normal human lymphocytes. This activity was also detected in the cell extract of MT 1. In contrast, MT 2 cell line did not produce IL 2 activity, but non-IL 2 type growth factor was observed. The significance of these factors from MT cell lines is discussed from the viewpoint of 'autokine' in ATLV-transformed cells.
Class Attendance Generation through Multiple Facial Detection and Recognition Using Artificial Neural Network (2018)

This paper aims to implement a facial detection and recognition system through artificial neural network using a video recording as the input. The system will be used to generate a class attendance report that labels the status as either present, late, or absent to the correct student. The system will utilize the raspberry pi module to communicate with the pi camera, which takes the video recording of the class, this recording will be used as an input to the facial detection and recognition in order to determine the student statuses and eventually generate the class attendance. Confusion matrix will be used to measure and visualize the performance of the classifier and the algorithms. The researchers were able to obtain an accuracy of 87.70% for the attendance accuracy.
Phytanic Acid Accumulation Is Associated with Conduction Delay and Sudden Cardiac Death in Sterol Carrier Protein‐2/Sterol Carrier Protein‐x Deficient Mice (2004)

Accumulation of phytanic acid in myocardial phospholipid membranes is associated with bradycardia and impaired AV nodal and intraventricular impulse conduction, which could provide an explanation for sudden cardiac death in this model.
Growth Factors as Targets in Tumor Therapy (1995)

Sustained growth of solid tumors and their metastasis requires paracrine signals between the tumor cells and the normal surrounding host tissue. One crucial function of these signals is to recruit endothelial cells and thus new blood vessels for the nourishment of the expanding tumor mass. In addition, the newly recruited blood vessels serve as routes for metastasis of the primary tumor. The proliferation and migration of endothelial cells in the vicinity of progressing tumors contrasts with a low turn-over rate of endothelial cells in the healthy adult. The only physiologic exception to this rule is the female reproductive cycle. Based on the selective angiogenesis in tumors in contrast to normal tissues, a blockade of this process should be feasible with few adverse effects. We present data on angiogenesis factor gene expression in tumors and discuss different methods of targeting these gene products. Furthermore, we discuss the potential to combine conventional cytotoxic treatments with this new therapeutic approach.
High frequency performance of vertical InAs nanowire MOSFET (2010)

We report on RF characterization of vertical, 100-nm-gate length InAs nanowire MOSFETs, utilizing wrap-gate technology and Al <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> high-K gate oxide. The transistors show f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</sub> =5.6 GHz and f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">max</sub> =22 GHz, mainly limited by parasitic capacitances. The RF device performance is described using a hybrid-π model taking hole generation at the drain into account. Electrostatic modeling of the parasitic capacitances for arrays of vertical nanowires indicates that a strong reduction in extrinsic capacitances can be achieved for devices with a small inter-wire separation.
Capturing Acoustic Speech Signals with Coherent MIMO Phase-OTDR (2020)

We demonstrate the identification of an acoustic perturbation made of a 6kHz bandwidth speech signature reaching a 1km long SMF. The fiber is probed with a phase-OTDR over two orthogonal polarization axes and the backscattered signal is received by a polarization-diversity coherent mixer (MIMO sensing) which mitigate fading effects.
REVIEW ARTICLE: Neurotransmitters regulate cell migration in the telencephalon (2007)

The complex cytoarchitectonic organization of the adult mammalian telencephalon reflects the elaborate patterns of cell migration that contribute to its generation. The migration by neurons in the CNS can broadly be divided into two categories: radial and tangential. Experimental observations in the telencephalon have shown that glutamatergic projection neurons are born in the progenitor compartment of the dorsal telencephalon and migrate radially to integrate the cortical plate, whereas most gamma-aminobutyric acid (GABA)ergic interneurons are generated in the ganglionic eminences and navigate through multiple tangential paths to settle into distinct telencephalic structures. Despite progress towards the understanding of the genetic determinants that specify the fate of neuronal progenitors, much remains unknown about the mechanisms that direct their migration into specific regions of the telencephalon. Interestingly, besides their function in synaptic transmission, neurotransmitters have been shown to promote several developmental processes that contribute to the establishment and maintenance of the CNS. In this respect, recent studies have highlighted a role for neurotransmitters through activation of their receptors in regulating cell migration in the telencephalon. This review summarizes and discusses the growing body of literature implicating neurotransmitters and their cognate receptors as part of a complex molecular machinery that regulate the migration of immature neurons in the telencephalon during development and in adulthood.
Segmentation of 3D meshes through spectral clustering (2004)

We formulate and apply spectral clustering to 3D mesh segmentation for the first time and report our preliminary findings. Given a set of mesh faces, an affinity matrix which encodes the likelihood of each pair of faces belonging to the same group is first constructed. Spectral methods then use selected eigenvectors of the affinity matrix or its closely related graph Laplacian to obtain data representations that can be more easily clustered. We develop an algorithm that favors segmentation along concave regions, which is inspired by human perception. Our algorithm is theoretically sound, efficient, simple to implement, andean achieve high-quality segmentation results on 3D meshes.
Low latency digital beamforming radar using aperture coding (2016)

A binary phase shift keying, space time coding approach to digital beamforming radar is considered for low latency estimation of range, velocity, and bearing angles of scatterers. Scattering information from all angles within the field of view is gathered during a single range/velocity acquisition and subsequent processing produces a range/velocity matrix for each beam direction. This coded aperture radar (CAR) approach provides range, velocity, and bearing angle estimates with low latency and requires only a single transceiver. These advantages are accompanied by a decrease in SNR as compared to conventional phased array and digital beamforming radars due to the fact that CAR receives less total energy. Furthermore, obtaining a sufficient number of measurements within an acquisition period to provide unambiguous estimation for a large number of bins may be impractical. Utilizing a reduced measurement set gives rise to "residual ambiguity," whose level is shown to be proportional to total received energy.
?-Poly-l-lysine and nisin A act synergistically against Gram-positive food-borne pathogens Bacillus cereus and Listeria monocytogenes (2007)

The application of nisin A and epsilon-poly-L-lysine is a promising all-natural method of controlling Gram-positive food-borne pathogens, spores and spoilage organisms.
Towards Interest And Engagement, A Framework For Adaptive Storytelling (2012)

A storyteller builds a narrative that captivates the audience, immersing them in the story. Storytelling is an interactive process. Though the listeners cannot affect what happens in the story, a good narrator observes the audience's responses and adjusts his/her storytelling accordingly. We present an automated storytelling agent that is aimed at achieving the same effect. While presenting a story, the user is given chances to give comments or ask questions. The agent estimates the user's preferences towards various topics from these responses and weighs the factors of novelty, current interest, and consistency for generating the next part of the narration. We describe the components of the agent, and an example of applying it for narrating a Chinese fantasy story.
Internet Based Morphable Model (2013)

In this paper we present a new concept of building a morphable model directly from photos on the Internet. Morphable models have shown very impressive results more than a decade ago, and could potentially have a huge impact on all aspects of face modeling and recognition. One of the challenges, however, is to capture and register 3D laser scans of large number of people and facial expressions. Nowadays, there are enormous amounts of face photos on the Internet, large portion of which has semantic labels. We propose a framework to build a morph able model directly from photos, the framework includes dense registration of Internet photos, as well as, new single view shape reconstruction and modification algorithms.
An algebraic approach to practical and scalable overlay network monitoring (2004)

Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay network with n end hosts, existing systems either require O(n2) measurements, and thus lack scalability, or can only estimate the latency but not congestion or failures. Our earlier extended abstract [1] briefly proposes an algebraic approach that selectively monitors k linearly independent paths that can fully describe all the O(n2) paths. The loss rates and latency of these k paths can be used to estimate the loss rates and latency of all other paths. Our scheme only assumes knowledge of the underlying IP topology, with links dynamically varying between lossy and normal.In this paper, we improve, implement and extensively evaluate such a monitoring system. We further make the following contributions: i) scalability analysis indicating that for reasonably large n (e.g., 100), the growth of k is bounded as O(n log n), ii) efficient adaptation algorithms for topology changes, such as the addition or removal of end hosts and routing changes, iii) measurement load balancing schemes, and iv) topology measurement error handling. Both simulation and Internet experiments demonstrate we obtain highly accurate path loss rate estimation while adapting to topology changes within seconds and handling topology errors.