gebhart/patrepeval huggingface dataset:
Mitochondrial Multiplex Real-Time PCR as a Source Tracking Method in Fecal-Contaminated Effluents (2007)

Multiplex real-time PCR amplifying fecal mitochondrial DNA (mtDNA) combined with rapid, crude DNA preparations are promising additions to surface water source tracking methods. Amplification of eukaryotic mitochondrial DNA identifies the fecal source directly and can be used in conjunction with other intestinal microbial methods to characterize effluents. Species-specific primers and dual-labeled probes for human, swine, and bovine NADH dehydrogenase subunit 5 (ND5) genes were created for multiplex real-time PCR in feces and effluent slurries. The linear range of the multiplex assay was 10(2)-10(7) mtDNA copies for human, bovine, and swine effluent in combination (equal volumes). PCR amplification efficiencies for bovine, human, and swine mtDNA when assayed in combination were 93, 107, and 92% respectively. Linear regression correlation coefficients (r2) were 0.99 for all standard curves except for human mtDNA in combination (r2 = 0.95). Multiplex amplification of bovine, human, and swine mtDNA (ND5) exhibited no cross-reactions between the effluents from three species of interest. Also, no cross-reactions were observed with effluents of other vertebrates: sheep, goat, horse, dog, cat, Canada goose, broiler, layer, turkey, and tilapia. Performed as a blind test, the PCR operator was able to correctly identify all but two effluent challenge samples (10/12 or 83% correct) with no false positives (22/22 or 100% correct). The multiplex assay had a tendency to detect the species of highest mtDNA concentration only. Better detection of all three species in a combination of human, bovine, and swine effluents was accomplished by running each real-time PCR primer/ probe set singly. Real-time PCR detection limit was calculated as 2.0 x 10(6) mitochondrial copies or 0.2 g of human feces per 100 mL effluent. Some carry-over mtDNA PCR signal from consumed beef, but not pork, was found in feces of human volunteers.
The immunosuppressive molecule HLA-G and its clinical implications (2012)

Human leukocyte antigen G (HLA-G) is a non-classical major histocompatibility complex (MHC) class I molecule that, through interaction with its receptors, exerts important tolerogenic functions. Its main physiological expression occurs in placenta where it seems to participate in the maternal tolerance toward the fetus. HLA-G has been studied as a marker of pregnancy complications such as abortion or pre-eclapmsia. Although HLA-G is not expressed in most adult tissues, its ectopic expression has been observed in some diseases such as viral infections, autoimmune disorders, and especially cancer. HLA-G neo-expression in cancer is associated with the capability of tumor cells to evade the immune control. In this review, we will summarize HLA-G biology and how it participates in these physiopathological processes. Special attention will be paid to its role as a diagnostic tool and also as a therapeutic target.
Self-Limited versus Delayed Resolution of Acute Inflammation: Temporal Regulation of Pro-Resolving Mediators and MicroRNA (2012)

Mechanisms underlying delays in resolution programs of inflammation are of interest for many diseases. Here, we addressed delayed resolution of inflammation and identified specific microRNA (miR)-metabolipidomic signatures. Delayed resolution initiated by high-dose challenges decreased miR-219-5p expression along with increased leukotriene B(4) (5-fold) and decreased (~3-fold) specialized pro-resolving mediators, e.g. protectin D1. Resolvin (Rv)E1 and RvD1 (1 nM) reduced miR-219-5p in human macrophages, not shared by RvD2 or PD1. Since mature miR-219-5p is produced from pre-miRs miR-219-1 and miR-219-2, we co-expressed in human macrophages a 5-lipoxygenase (LOX) 3'UTR-luciferase reporter vector together with either miR-219-1 or miR-219-2. Only miR-219-2 reduced luciferase activity. Apoptotic neutrophils administered into inflamed exudates in vivo increased miR-219-2-3p expression and PD1/NPD1 levels as well as decreased leukotriene B(4). These results demonstrate that delayed resolution undermines endogenous resolution programs, altering miR-219-2 expression, increasing pro-inflammatory mediators and compromising SPM production that contribute to failed catabasis and homeostasis.
Rayleigh fading channels in mobile digital communication systems .I. Characterization (1997)

When the mechanisms of fading channels were first modeled in the 1950s and 1960s, the ideas were primarily applied to over-the-horizon communications covering a wide range of frequency bands. The 3-30 MHz high-frequency (HF) band is used for ionospheric communications, and the 300 MHz-3 GHz ultra-high-frequency (UHF) and 3-30 GHz super-high-frequency (SHF) bands are used for tropospheric scatter. Although the fading effects in a mobile radio system are somewhat different than those in ionospheric and tropospheric channels, the early models are still quite useful to help characterize fading effects in mobile digital communication systems. This tutorial addresses Rayleigh fading primarily in the UHF band. That affects mobile systems such as cellular and personal communication systems (PCS). Part I of the tutorial itemizes the fundamental fading manifestations and types of degradation.
Edge-centric Computing (2015)

In many aspects of human activity, there has been a continuous struggle between the forces of centralization and decentralization. Computing exhibits the same phenomenon; we have gone from mainframes to PCs and local networks in the past, and over the last decade we have seen a centralization and consolidation of services and applications in data centers and clouds. We position that a new shift is necessary. Technological advances such as powerful dedicated connection boxes deployed in most homes, high capacity mobile end-user devices and powerful wireless networks, along with growing user concerns about trust, privacy, and autonomy requires taking the control of computing applications, data, and services away from some central nodes (the "core") to the other logical extreme (the "edge") of the Internet. We also position that this development can help blurring the boundary between man and machine, and embrace social computing in which humans are part of the computation and decision making loop, resulting in a human-centered system design. We refer to this vision of human-centered edge-device based computing as Edge-centric Computing . We elaborate in this position paper on this vision and present the research challenges associated with its implementation.
ADP-ribosylation of Rhizobium meliloti Glutamine Synthetase III in Vivo (1995)

The control of glutamine synthetase (GS), the first enzyme in the main pathway used by Rhizobium meliloti to assimilate ammonia, is central to cellular nitrogen metabolism. R. meliloti is unusual in having three distinct types of GS, including a unique GS, GSIII, that differs considerably from both GSI, which resembles other bacterial GS proteins and GSII, which resembles the GS found in eukaryotes. We show here that GSIII can be post-translationally modified in vivo by ADP-ribosylation at an arginine residue. 32PO4 attached to GSIII during bacterial growth as part of the modifying group could be removed by treatment with snake venom phosphodiesterase or by turkey erythrocyte ADP-ribosylarginine hydrolase. Treatment of modified GSIII with hydroxylamine at neutral pH releases a chromophore that has the retention time of ADP-ribose when analyzed by reversed-phase high performance liquid chromatography. ADP-ribosylation inhibits GSIII activity.
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks (2016)

In this paper, we propose DeepCut, a method to obtain pixelwise object segmentations given an image dataset labelled with bounding box annotations. It extends the approach of the well-known GrabCut method to include machine learning by training a neural network classifier from bounding box annotations. We formulate the problem as an energy minimisation problem over a densely-connected conditional random field and iteratively update the training targets to obtain pixelwise object segmentations. Additionally, we propose variants of the DeepCut method and compare those to a naive approach to CNN training under weak supervision. We test its applicability to solve brain and lung segmentation problems on a challenging fetal magnetic resonance dataset and obtain encouraging results in terms of accuracy.
Error-Correcting Output Codes: A General Method for Improving (1991)

Multiclass learning problems involve finding a definition for an unknown function f(x) whose range is a discrete set containing k < 2 values (i.e., k classes). The definition is acquired by studying large collections of training examples of the form [xi, f(xi)]. Existing approaches to this problem include (a) direct application of multiclass algorithms such as the decision-tree algorithms ID3 and CART, (b) application of binary concept learning algorithms to learn individual binary functions for each of the k classes, and (c) application of binary concept learning algorithms with distributed output codes such as those employed by Sejnowski and Rosenberg in the NETtalk system. This paper compares these three approaches to a new technique in which BCH error-correcting codes are employed as a distributed output representation. We show that these output representations improve the performance of ID3 on the NETtalk task and of back propagation on an isolated-letter speech-recognition task. These results demonstrate that error-correcting output codes provide a general-purpose method for improving the performance of inductive learning programs on multiclass problems.
Frequency-Dependent Electromechanics of Aqueous Liquids:  Electrowetting and Dielectrophoresis (2004)

Electrowetting on dielectric and dielectrophoretic electromechanical mechanisms dominate microfluidic actuation in the low- and high-frequency limits, respectively. The frequency-dependent relationship between these two mechanisms has been clarified by the Maxwell stress tensor and a simple RC circuit model. In this paper, we report extensive height-of-rise measurements obtained with vertical, parallel, dielectrically coated electrodes to test this relationship using deionized water and solutions containing sugar and salt. For DC and AC (20 Hz to 20 kHz) voltage magnitudes up to approximately 150 V-rms, the data are highly reproducible and, within experimental error, consistent with the square-law predictions of the model. Eventually as voltage is increased, a saturation phenomenon is observed which exhibits a weak dependence on frequency and is probably correlated to contact angle saturation.
NMR Methods for the Determination of Protein- Ligand Dissociation Constants (2003)

This article is a review with 83 references of the application of NMR to the measurement of the dissociation constants of protein-ligand complexes. After briefly discussing some general concepts of molecular stability, the text turns to consider which NMR parameters are reporters of complex formation. The available data treatments required to translate observed NMR effects into quantitative measurements of the stability of the complex in the form of the dissociation constant (KD) are introduced. Linearisation methods and curve fitting methods are explained in detail and are illustrated with examples drawn from recent reports of protein-small molecule interactions. Throughout the text examples of the commonly observed NMR parameters , 1 / T1 and 1 / T2 are drawn from biological studies of 1H, 31P, 19F 15N (and other nuclei). The advantages of NMR diffusion experiments as a measure of KD are considered. Some less frequently used NMR approaches, some new ideas and some non-general methods are grouped together in a miscellaneous section. The major sources of errors in the determination of KD are identified. This allows recommendations for optimal experimental set up. Options for dealing with strong binding are reviewed. Finally, the implications of abstracting KD data from high throughput screening experiments are considered and several different approaches to generate this data are discussed.
Pentafluorosulfanyl-Substituted Benzopyran Analogues As New Cyclooxygenase-2 Inhibitors with Excellent Pharmacokinetics and Efficacy in Blocking Inflammation (2017)

In this report, we disclose the design and synthesis of a series of pentafluorosulfanyl (SF<sub>5</sub>) benzopyran derivatives as novel COX-2 inhibitors with improved pharmacokinetic and pharmacodynamic properties. The pentafluorosulfanyl compounds showed both potency and selectivity for COX-2 and demonstrated efficacy in several murine models of inflammation and pain. More interestingly, one of the compounds, R,S-3a, revealed exceptional efficacy in the adjuvant induced arthritis (AIA) model, achieving an ED<sub>50</sub> as low as 0.094 mg/kg. In addition, the pharmacokinetics of compound R,S-3a in rat revealed a half-life in excess of 12 h and plasma drug concentrations well above its IC<sub>90</sub> for up to 40 h. When R,S-3a was dosed just two times a week in the AIA model, efficacy was still maintained. Overall, drug R,S-3a and other analogues are suitable candidates that merit further investigation for the treatment of inflammation and pain as well as other diseases where COX-2 and PGE<sub>2</sub> play a role in their etiology.
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge (2017)

The field of Automatic Facial Expression Analysis has grown rapidly in recent years. However, despite progress in new approaches as well as benchmarking efforts, most evaluations still focus on either posed expressions, near-frontal recordings, or both. This makes it hard to tell how existing expression recognition approaches perform under conditions where faces appear in a wide range of poses (or camera views), displaying ecologically valid expressions. The main obstacle for assessing this is the availability of suitable data, and the challenge proposed here addresses this limitation. The FG 2017 Facial Expression Recognition and Analysis challenge (FERA 2017) extends FERA 2015 to the estimation of Action Units occurrence and intensity under different camera views. In this paper we present the third challenge in automatic recognition of facial expressions, to be held in conjunction with the 12th IEEE conference on Face and Gesture Recognition, May 2017, in Washington, United States. Two sub-challenges are defined: the detection of AU occurrence, and the estimation of AU intensity. In this work we outline the evaluation protocol, the data used, and the results of a baseline method for both sub-challenges.
Hot sheet metal forming of high-performance steel : Proceedings of the 1st International Conference, Kassel, Germany, October 22-24, 2008 (2008)

Hot sheet metal forming of high-performance steel : Proceedings of the 1st International Conference, Kassel, Germany, October 22-24, 2008
Thin-film compound semiconductor photovoltaics : symposium held March 29-April 1, 2005, San Francisco, California, U.S.A. (2005)

This book examines the advances in materials science, chemistry, processing and device issues of thin-film compound semiconductor materials that are used, or have potential use, in photovoltaic solar cells and related applications. In particular, the book focuses on transparent conducting oxides, on chalcogenide semiconductors such as Cu(InGa)(SeS)2, CdTe and CdS, and on photovoltaic devices using these materials. The application of recent advances in materials characterization to compound semiconductor thin films is a theme throughout. Particular highlights include results obtained with photoelectron spectroscopy, high-resolution transmission electron microscopy, atomic probe techniques, and spectroscopic ellipsometry. These provide new insights into surface, grain boundary and bulk properties. Results on new materials including different alloys of CuInSe2 and CdTe are also featured. Topics include: optical characterization; electronic structure; defects and impurities; structural characterization; interfaces; TCOs and window layers; back contacts; grain boundaries and inhomogeneities; performance of solar cells; electrical characterization; solar-cell technology; and wide-gap chalcopyrites.
OMG Systems Modeling Language (OMG SysML™) Tutorial (2008)

The INCOSE Proceedings are drawn from the annual International Symposium. These high quality papers provide usable information or insight to enable systems engineering researchers and professionals to improve their application of systems engineering; provide innovative and novel techniques that enhance the execution and effectiveness of systems engineering in multiple industries and domains.
Anti-Inflammatory Effects of Synthetic Retinoids May Be Related to Their Immunomodulatory Action (1987)

The effects of retinoids have been studied in a model of delayed-type hypersensitivity using the T-cell-dependent antigen, methylated bovine serum albumin to elicit inflammation in the hind paws of mice. A number of synthetic retinoids, including etretinate and arotinoids, showed a marked anti-inflammatory action in this model. Using differential dosing schedules, the anti-inflammatory effect of retinoids was clearly distinguished from conventional cyclooxygenase inhibitors. By screening a number of synthetic retinoids, structure-activity relationships for this effect can be deduced.
Analysis of optical amplification due to tunneling of electrons in a quantum-well semiconductor heterostructure (1988)

A theoretical investigation is made of the optical properties of quantum-well tunnel semiconductor structures. It is shown that resonant tunneling accompanied by the absorption and emission of electromagnetic radiation quanta makes it possible, in particular, to amplify light in such structures and the gain profile may be tunable by the application of a voltage.
Database challenges in global information systems (1993)

Article Free Access Share on Database challenges in global information systems Authors: Joann J. Ordille Computer Sciences Department, University of Wisconsin-Madison, 1210 W. Dayton Street, Madison, Wisconsin Computer Sciences Department, University of Wisconsin-Madison, 1210 W. Dayton Street, Madison, WisconsinView Profile , Barton P. Miller Computer Sciences Department, University of Wisconsin-Madison, 1210 W. Dayton Street, Madison, Wisconsin Computer Sciences Department, University of Wisconsin-Madison, 1210 W. Dayton Street, Madison, WisconsinView Profile Authors Info & Claims SIGMOD '93: Proceedings of the 1993 ACM SIGMOD international conference on Management of dataJune 1993Pages 403–407https://doi.org/10.1145/170035.170099Published:01 June 1993Publication History 8citation635DownloadsMetricsTotal Citations8Total Downloads635Last 12 Months19Last 6 weeks3 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 SiteeReaderPDF
A Palladium Sulfide Catalyst for Electrolytic Plating (1996)

During the manufacture of circuit boards, a palladium‐tin colloid is adsorbed onto an epoxy substrate and serves as a catalyst for the subsequent electroless deposition of copper in nonconductive areas, viz., the drilled holes. This is normally followed by a thicker layer of electrolytically deposited copper. A simpler process has been developed which replaces the electroless step with a sulfide‐containing solution which alters the adsorbed palladium‐tin colloid and renders it resistant to acidic solutions and very effective for the subsequent electrolytic deposition of copper. Use of x‐ray absorption spectroscopy techniques (x‐ray absorption fine structures and x‐ray absorption of near‐edge structures) was conclusive in establishing that the altered catalytic film was a mixture of palladium sulfide, which remains stable for at least several months, and mixed valence sulfidized tin species, which begin to oxidize to stannic oxide within 24 h. Electrolytic copper plating characteristics are determined for this novel palladium sulfide activator and compared to those of a conventional palladium‐tin catalyst. A "stepwise propagation with continuous conduction" model is proposed, based in part on the results of scanning tunneling microscopy which reveals PdS particles in intimate contact with each other.
Ensemble pruning via individual contribution ordering (2010)

An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend to construct unnecessarily large ensembles, which increases the memory consumption and computational cost. Ensemble pruning tackles this problem by selecting a subset of ensemble members to form subensembles that are subject to less resource consumption and response time with accuracy that is similar to or better than the original ensemble. In this paper, we analyze the accuracy/diversity trade-off and prove that classifiers that are more accurate and make more predictions in the minority group are more important for subensemble construction. Based on the gained insights, a heuristic metric that considers both accuracy and diversity is proposed to explicitly evaluate each individual classifier's contribution to the whole ensemble. By incorporating ensemble members in decreasing order of their contributions, subensembles are formed such that users can select the top $p$ percent of ensemble members, depending on their resource availability and tolerable waiting time, for predictions. Experimental results on 26 UCI data sets show that subensembles formed by the proposed EPIC (Ensemble Pruning via Individual Contribution ordering) algorithm outperform the original ensemble and a state-of-the-art ensemble pruning method, Orientation Ordering (OO).
Flour rice husk as filler in block copolymer polypropylene: Effect of different coupling agents (2005)

Abstract Flour rice husk (FRH) was employed as a filler in block copolymer polypropylene (PPB) in order to prepare polymer‐based reinforced composites. Four coupling agents were selected to modify the surface of the rice husk in the composite materials, including two types of functionalized polymers [PP homopolymer grafted with maleic anhydride (MA‐PP) and an elastomer styrene–ethylene–butadiene–styrene triblock copolymer grafted with MA (MA‐SEBS)] and two bifunctional organometallic coupling agents (silane and titanate with linear low‐density polyethylene as a carrier). The influence of each type of coupling agent on the interfacial bonding strength was studied by dynamic mechanical analysis, scanning electronic microscopy, and rheological tests. The results showed that strong interactions were formed between the coupling agents and the filler surface. The addition of a coupling agent with an elastomeric carrier (MA‐SEBS) increased the loss tangent and reduced the storage modulus of the composite. A similar but less intense effect was observed for the titanate coupling agent. However, an antagonistic performance was obtained when MA‐PP and silane were employed as coupling agents. In addition, when the percentage of MA‐SEBS was increased, the impact properties of FRH/PPB blends were improved and the strength was reduced. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 99: 1823–1831, 2006
An automatic fault management model for distribution networks (2002)

An automatic computer model for power system fault location, fault isolation and supply restoration is presented. The model works as an integrated part of SCADA and distribution network automation systems. Three techniques are used for fault location, distance computation, fault indicators and statistical data of fault frequencies. Once the faulty section is identified, it is automatically isolated and the supply is restored to the remaining parts of the power network.