gebhart/patrepeval huggingface dataset:
Measuring Multiresolution Surface Roughness Using V-System (2017)

Surface roughness is a land-surface parameter that is widely used in terrain analysis. Some typical roughness details, which have important effects on surface analysis, fail to be characterized on previous roughness maps. The objective of this paper is to provide a more accurate small-to-large scale roughness overview. The new roughness method is designed based on a complete orthogonal system called the V-system. The V-system roughness utilizes the special functions to detect and extract the roughness characteristics from high-resolution digital elevation models (DEMs). In this paper, Lunar Orbiter Laser Altimeter-derived DEMs are used as the source data for the roughness calculation. Compared with the global root-mean-square slope and Fourier-based roughness maps, the V-system roughness maps show that more typical roughness details have been added to clearly indicate the small roughness variations on the large map. Furthermore, the reliability and practicability of V-system roughness are demonstrated based on the multiresolution DEMs. As an example, the statistical parameters of the roughness characteristics in the lunar Maria and highlands identify the fact that the highlands are rougher at all scales than the Maria. And this difference corresponds to the basic roughness property.
Production of synthetic diesel fuel from light olefins (1984)

Mobil Research and Development Corporation has developed a catalytic process for converting light olefinic compounds to high quality gasoline and distillate. The process has been named Mobil Olefin to Gasoline and Distillate (MOGD) Process. This process is based on a synthetic zeolite catalyst which shapes selectively oligomerized light olefins to higher molecular weight iso-olefins. In the gasoline boiling range, these olefins have a high octane number and for the diesel fuel range product a high cetane number following hydrogenation. The process is highly flexible, and a commercial plant can be designed to produce distillate/gasoline ratios of 0/100 to 90/10 depending on market requirements. Though normally designed to process propylene or butylene, MOGD is applicable to a wide range of feed streams ranging from ethylene to 400/sup 0/F end point olefinic naphtha. The process has been tested using commercially-produced catalyst in refinery scale equipment.
SIP Call Control - Recording Extensions (2010)

This document defines SIP extensions for session recording to meet the
requirements in the Requirements for SIP-based Media Recording
(SIPREC) document. In particular, mechanisms to allow SIP elements to
distinguish between the Recording Session and the Communication
Session. Also a mechanism for a UA to learn that the communication
session is being recorded is proposed. The Metadata about the session
is not covered by this document. SIP feature tags 'srs',
'src', and 'recorded' are defined to identify the Session
Recording Server, Session Recording Client, and the presence of
recording in the communication session.
Robust time-delay and amplitude estimation for CDMA location finding (1999)

Wireless location finding is gaining considerable attention in the field of wireless communications. This is due to a recent USA government mandate for wireless service providers to locate users in emergency situations within a high precision. In this paper, we introduce a new estimation scheme for the time and amplitude of arrival of a code division multiple access signal transmitted over a single-path Rayleigh fading channel for location finding applications. Optimum choices of the estimation scheme parameters are derived. The paper also presents a new noise and fading bias equalization technique for amplitude of arrival estimation that enhances its estimation precision significantly. The paper gives simulation and field trial results that show significant robustness of the proposed scheme to high noise levels and fast channel fading.
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior (2018)

We address two challenges of probabilistic topic modelling in order to better estimate the probability of a word in a given context, i.e., P(word|context): (1) No Language Structure in Context: Probabilistic topic models ignore word order by summarizing a given context as a "bag-of-word" and consequently the semantics of words in the context is lost. The LSTM-LM learns a vector-space representation of each word by accounting for word order in local collocation patterns and models complex characteristics of language (e.g., syntax and semantics), while the TM simultaneously learns a latent representation from the entire document and discovers the underlying thematic structure. We unite two complementary paradigms of learning the meaning of word occurrences by combining a TM (e.g., DocNADE) and a LM in a unified probabilistic framework, named as ctx-DocNADE. (2) Limited Context and/or Smaller training corpus of documents: In settings with a small number of word occurrences (i.e., lack of context) in short text or data sparsity in a corpus of few documents, the application of TMs is challenging. We address this challenge by incorporating external knowledge into neural autoregressive topic models via a language modelling approach: we use word embeddings as input of a LSTM-LM with the aim to improve the word-topic mapping on a smaller and/or short-text corpus. The proposed DocNADE extension is named as ctx-DocNADEe. We present novel neural autoregressive topic model variants coupled with neural LMs and embeddings priors that consistently outperform state-of-the-art generative TMs in terms of generalization (perplexity), interpretability (topic coherence) and applicability (retrieval and classification) over 6 long-text and 8 short-text datasets from diverse domains.
A unified approach to coordinated energy-management in data centers (2011)

Energy consumption has become a critical issue for data centers, triggered by the rise in energy costs, volatility in the supply and demand of energy and the widespread proliferation of power-hungry information technology (IT) equipment. In response, researchers are developing energy-efficient data centers by incorporating energy-aware systems both at the IT level (shutting down servers or temperature-aware workload placement) as well as at the facilities level (shutting down air-conditioning units, increasing temperature of air supplied to the plenum). In this work, we explore a novel approach to coordinated-management of IT systems and its cooling infrastructure to joint power and temperature objectives. In particular, for a given total IT workload, we present a method to determine the optimal settings of computer room air-conditioning units (CRACs) in a data center so as to minimize overall energy consumption in the data center while satisfying specified temperature constraints. Using potential fluid-flow theory, our approach identifies distinct thermal zones associated with each CRAC and then provisions cooling power to match the heat generated from the racks in that zone. We illustrate the resulting range in behavior and potential for energy savings in a large 10,000 sqft commercial data center with 10 CRACs and 186 racks.
Mucosal cytokine gene expression profiles as biomarkers of response to infliximab in ulcerative colitis (2012)

High expression of Th1- and Th17-related cytokines in the mucosa of UC patients can potentially predict a favorable outcome of IFX induction therapy. Th2 and Treg-related mediators do not appear useful as predictive markers.
Efficient phase separation and product recovery in organic‐aqueous bioprocessing using supercritical carbon dioxide (2010)

Biphasic hydrocarbon functionalizations catalyzed by recombinant microorganisms have been shown to be one of the most promising approaches for replacing common chemical synthesis routes on an industrial scale. However, the formation of stable emulsions complicates downstream processing, especially phase separation. This fact has turned out to be a major hurdle for industrial implementation. To overcome this limitation, we used supercritical carbon dioxide (scCO(2)) for both phase separation and product purification. The stable emulsion, originating from a stereospecific epoxidation of styrene to (S)-styrene oxide, a reaction catalyzed by recombinant Escherichia coli, could be destabilized efficiently and irreversibly, enabling complete phase separation within minutes. By further use of scCO(2) as extraction agent, the product (S)-styrene oxide could be obtained with a purity of 81% (w/w) in one single extraction step. By combining phase separation and product purification using scCO(2), the number of necessary workup steps can be reduced to one. This efficient and easy to use technique is generally applicable for the workup of biphasic biocatalytic hydrocarbon functionalizations and enables a cost effective downstream processing even on a large scale.
Peritoneal dialysis : new concepts and applications (1990)

Anatomy of the peritoneum pertoneal lymphatics and kinetics of ultrainfiltration pharmacologic manipulations of transport new cycler techniques and dialysis adequacy advances in peritoneal access - registry experiences prevention, diagnosis and treatment of peritonitis experiences with the Y-set bone metabolism in continuous ambulatory peritoneal dialysis peritoneal dialysis in diabetics peritoneal dialysis in children.
Analysis of Inverse Crosstalk Channel Estimation (2011)

Abstract— Digital subscriber line (DSL) data rates for shortloops are typically limited by crosstalk between adjacent linesrather than by background noise. Precoding can reduce crosstalkin the downstream from the access node to the customer premisesequipment signiﬁcantly if an accurate estimate of the inversecrosstalk channel is provided. Recently, a backward-compatiblemethod has been proposed for estimating downstream crosstalkchannels using standardized signal-to-noise ratio (SNR) reports.This paper develops a probabilistic model of the estimationprocess and, within this model, provides conditions under whichsuccessive updates of the precoder are guaranteed to converge tothe ideal inverse precoder. Bounds on estimator variance and con-vergence times are obtained and optimized with respect to systemparameters.Theanalysiscanbeappliedtothesituationinwhichanew line is being activated and added to a group of precoded linesseamlessly, that is, with controlled impact on the SNR of the activelines. Two phases are proposed to achieve seamless activation; theprotection phase is used to let the active lines learn the crosstalkfrom the activating line and the acquisition phase is used to let theactivating line learn the crosstalk from the active lines. Results ofthe analysis are illustrated by numerical simulations.
Interactive image-based rendering using feature globalization (2003)

Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user control. A significant challenge in such systems is to automatically compute image correspondences that enable accurate image warping.In this paper, we describe a new algorithm for computing a globally consistent set of image feature correspondences across a wide range of viewpoints suitable for IBR walkthroughs. We first detect point features in a dense set of omnidirectional images captured on an eye-height plane. Then, we track these features from image to image, identifying potential correspondences when two features track to the same position in the same image. Among the potential correspondences, we select the maximal consistent set using a greedy graph-labeling algorithm.A key feature of our approach is that it exploits the multiple paths that can be followed between images in order to increase the number of feature correspondences between distant images. We demonstrate the benefits of this approach in a real-time IBR walkthrough system where novel images are reconstructed as the user moves interactively.
A 10 kHz Short-Stroke Rotary Fast Tool Servo (2004)

No abstract prepared.
Characteristics of novel monofilament sutures prepared by conjugate spinning (2007)

Abstract Compared with braided multifilament sutures, absorbable monofilaments are attractive suture materials as they exhibit less tissue drag and cause less tearing because of their smooth surfaces. However, monofilament sutures are less flexible and more difficult to tie a knot than multifilament ones, and their knots are more likely to loosen due to inferior knot security. Although various approaches have been reported to improve the flexibility of monofilament sutures, they still have limitations regarding poor knot security. To address this problem, we developed a novel technique to fabricate monofilament sutures by a conjugate spinning method, resulting in the formation of a sea/islands type of bicomponent monofilament suture. These sea/islands type bicomponent monofilament sutures, which can place many fine strands of a polymeric fiber within a matrix of another polymer, exhibited excellent knot security, flexibility, and low strain energy, compared with commercially available monofilament sutures. © 2007 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 2007
Novel PEMFC Cathodes Prepared by Pulse Deposition (2007)

A pulse electrodeposition method of preparing thin platinum catalyst layers for polymer electrolyte membrane fuel cell (PEMFC) cathodes has been developed through surface activation of the gas diffusion layer (GDL) by a wetting agent. The performance of the catalyst layer was optimized by wetting agent type, immersion time in the wetting agent, and pulse deposition parameters such as total charge density, peak current density, and duty cycle ratio. The time played a more important role than the time in determining the electrode characteristics such as high concentration of Pt, smaller particle size, and loading. Pt cathodes prepared using a peak current density of with a duty cycle of 10.7% and total charge density of resulted in a thin platinum catalyst layer and uniformly distributed platinum nanoparticles on the GDL surface. Novel cathodes with Pt loading of prepared in the present study exhibited at .
Anaerobic Production of Isoprene by Engineered <i>Methanosarcina</i> Species Archaea (2021)

Isoprene is a valuable petrochemical used for a wide variety of consumer goods, such as adhesives and synthetic rubber. We were able to achieve a high yield of renewable isoprene by taking advantage of the naturally high-flux mevalonate lipid synthesis pathway in anaerobic methane-producing archaea (methanogens). Our study illustrates that by genetically manipulating <i>Methanosarcina</i> species methanogens, it is possible to create organisms that grow by producing the hemiterpene isoprene. Mass balance measurements show that engineered methanogens direct up to 4% of total carbon flux to isoprene, demonstrating that methanogens produce higher isoprene yields than engineered yeast, bacteria, or cyanobacteria, and from inexpensive feedstocks. Expression of isoprene synthase resulted in increased biomass and changes in gene expression that indicate that isoprene synthesis depletes membrane precursors and redirects electron flux, enabling isoprene to be a major metabolic product. Our results demonstrate that methanogens are a promising engineering chassis for renewable isoprene synthesis.<b>IMPORTANCE</b> A significant barrier to implementing renewable chemical technologies is high production costs relative to those for petroleum-derived products. Existing technologies using engineered organisms have difficulty competing with petroleum-derived chemicals due to the cost of feedstocks (such as glucose), product extraction, and purification. The hemiterpene monomer isoprene is one such chemical that cannot currently be produced using cost-competitive renewable biotechnologies. To reduce the cost of renewable isoprene, we have engineered methanogens to synthesize it from inexpensive feedstocks such as methane, methanol, acetate, and carbon dioxide. The "isoprenogen" strains we developed have potential to be used for industrial production of inexpensive renewable isoprene.
<title>Machine precision assessment in 3D/2D digital subtracted angiography image registration</title> (1998)

During an interventional neuroradiology exam, knowing the exact location of the catheter tip with respect to the patient can dramatically help the physician. An image registration between digital subtracted angiography (DSA) images and a volumic pre-operative image (magnetic resonance or computed tomography volumes) is a way to infer this important information. This mono-patient multimodality matching can be reduced to finding the projection matrix that transforms any voxel of the volume onto the DSA image plane. This modelization is unfortunately not valid in the case of distorted images, which is the case for DSA images. A classical angiography room can now generate 3D X-ray angiography volumes (3DXA). Since the DSA images are obtained with the same machine, it should be possible to deduce the projection matrix from the sensor data indicating the current machine position. We propose an interpolation scheme, associated to a pre-operative calibration of the machine that allows us to correct the distortions in the image at any position used during the exam with a precision of one pixel. Thereafter, we describe some calibration procedures and an associated model of the machine that can provide us with a projection matrix at any position of the machine. Thus, we obtain a machine-based 2D DSA/3DXA registration. The misregistration error can be limited to 2.5 mm if the patient is well centered within the system. This error is confirmed by a validation on a phantom of the vascular tree. This validation also yields that the residual error is a translation in the 3D space. As a consequence, the registration method presented in this paper can be used as an initial guess to an iterative refining algorithm.
Synthesis of fully active biotinylated analogs of parathyroid hormone and parathyroid hormone-related protein as tools for the characterization of parathyroid hormone receptors (1992)

The synthesis, purification, and characterization of biotinylated analogues of parathyroid hormone (PTH) and PTH-related protein (PTHrP) are described. A novel methodology was developed which allowed the selective biotinylation during solid-phase synthesis of either the Lys13 or Lys26 residue in PTH/PTHrP sequences. Incorporation of orthogonally protected N alpha-Boc-Lys(N epsilon-Fmoc) at a selected position in the sequence, followed by selective side-chain deprotection and biotinylation of the epsilon-amino group, permitted modification of the specific lysine only. Biotinylated analogues of [Nle8,18,Tyr34]bPTH(1-34)NH2 (analogue 1a) were prepared by modification of Lys13 with a biotinyl group (analogue 1) or a biotinyl-epsilon-aminohexanoyl group (analogue 2) or at Lys26 with a biotinyl-epsilon-aminohexanoyl group (analogue 3). A biotinylated PTHrP antagonist [Leu11,D-Trp12,Lys13(N epsilon-(biotinyl-beta-Ala))]PTHrP(7-34)NH2 (analogue 5), was also prepared. In a different synthetic approach, selective modification of the thiol group of [Cys35]PTHrP(1-35)NH2, in solution, with N-biotinyl-N'-(6-maleimidohexanoyl)hydrazide, resulted in analogue 4. The high affinities of the biotinylated analogues for PTH receptors present in human osteosarcoma B-10 cells or in porcine renal cortical membranes (PRCM), were comparable to those of the underivatized parent peptides. The analogues were also highly potent in stimulation of cAMP formation (analogues 1-4) or inhibition of PTH-stimulated adenylyl cyclase (analogue 5) in B-10 cells. The most potent analogue (analogue 1) had potencies in B-10 cells (Kb = 1.5 nM, Km = 0.35 nM) and in porcine renal membranes (Kb = 0.70 nM) identical or similar to those of its parent peptide, respectively.(ABSTRACT TRUNCATED AT 250 WORDS)
Anti-desmoglein 3 (Dsg3) Monoclonal Antibodies Deplete Desmosomes of Dsg3 and Differ in Their Dsg3-depleting Activities Related to Pathogenicity (2007)

Pemphigus vulgaris (PV) is an autoimmune blistering disease, characterized by the loss of cell-cell adhesion between epidermal keratinocytes and the presence of autoantibody against desmoglein 3 (Dsg3), which provides adhesive integrity to desmosomes between adjacent keratinocytes. We have previously shown that PV-IgG purified from patients depletes desmosomes of Dsg3. However, PV-IgG contains not only antibodies against a variety of different epitopes of Dsg3 but also against other unknown antigens. Therefore, we examined whether the Dsg3-depleting activity of PV-IgG is generated specifically by anti-Dsg3 activity in a human squamous cell carcinoma cell line (DJM-1) and normal human keratinocytes by using four different pathogenic and nonpathogenic monoclonal antibodies against Dsg3. We demonstrate that these monoclonal antibodies deplete cells and desmosomes of Dsg3, as PV-IgG does. Individual monoclonal anti-Dsg3 antibodies display characteristic limits to their Dsg3-depleting activity, which correlates with their pathogenic activities. In combination, these antibodies exert a cumulative or synergistic effect, which may explain the potent Dsg3-depleting capability of PV-IgG, which is polyclonal. Finally, although Dsg3-depletion activity correlated with AK-monoclonal antibody pathogenicity in mouse models, the residual level of Dsg3, when below approximately 50%, does not correlate with the adhesive strength index in the present study. This may suggest that although the Dsg3 depletion is not indicative for adhesive strength, the level of Dsg3 can be used as a read-out of pathogenic changes within the cell and that the Dsg3 depletion from desmosomes plays an important role in skin fragility or susceptibility to blister formation in PV patients.
Design of Second Generation HIV-1 Integrase Inhibitors (2006)

The prospect of HIV-1 integrase (IN) as a therapeutically viable retroviral drug target is on the verge of realization. The observed preclinical and clinical performance of beta-diketo containing and naphthyridine carboxamide compounds provides direct proof for the clinical application of IN inhibition. These validated lead compounds are useful in the design and development of second generation IN inhibitors. The results from preclinical and clinical studies on the first generation IN inhibitors reiterate a demand for novel second generation inhibitors with improved pharmacokinetic and metabolic properties. Pharmacophore-based drug design techniques facilitate the discovery of novel compounds on the basis of validated lead compounds specific for a drug target. In this article we have comprehensively reviewed the application of pharmacophore-based drug design methods in the field of IN inhibitor discovery.