gebhart/patrepeval huggingface dataset:
Sour Service Limits of 13% Cr and Super 13% Cr Stainless Steels for OCTG: Effect of Environmental Factors (2009)

Abstract For the last 25 years, the use of 13% Cr seamless steel tubing has been a cost effective solution for preventing sweet CO2 corrosion. More recently, Super 13% Cr alloys with low carbon and Ni-Mo additions were introduced for improving the resistance to specific forms of corrosion. This paper summarizes the SSC results of both conventional 13% Cr and super 13% Cr stainless steels. NACE Uniaxial Tensile tests were performed according to the Fitness-For-Purpose approach recommended in the new edition of NACE MR0175/ISO 15156. The role of chloride content was investigated when combined with PH2S and pH in environments where SSC is likely to occur. These mappings enable the definition of usage domains for Super 13% Cr stainless steel in sour service.
Action-based graphical password: &#x201C;Click-a-Secret&#x201D; (2011)

This paper relates to a novel graphical system named “Click-a-Secret” that allows entering a secret through interactions with an image. Seamless modifications of the image will create a new image and derive corresponding secret. In this article, we will focus on access control related applications. However, other usages are possible in various cryptographic systems (e.g.: secret key to encrypt data, etc.). It is well known that humans use long-term memory for storing pictures therefore leading to better recall of images compared to text. This leads to improved memorization of graphical passwords.
Signal shaping optimization with /sup 3/He tubes in high rate neutron counting (1999)

A high rate neutron counting is achieved while minimizing the dead-time of the counting chain. The paper shows that too short a shaping time constant gives rise to double pulses at the output of the discriminator for a single neutron. Therefore, the shaping time must be optimized in order to minimize the dead-time while also avoiding counting errors. Simulations and experimental results for a /sup 3/He chain at different shaping time constants are presented and discussed.
Use of Gel Filtration to Monitor Ribosome-Membrane Interaction (1975)

Conference Article| February 01 1975 Use of Gel Filtration to Monitor Ribosome-Membrane Interaction ALAN L. IBBETSON; ALAN L. IBBETSON 1Biological Laboratory, University of Kent at Canterbury, Canterbury CT2 7NJ, U.K. Search for other works by this author on: This Site PubMed Google Scholar ROBERT B. FREEDMAN ROBERT B. FREEDMAN 1Biological Laboratory, University of Kent at Canterbury, Canterbury CT2 7NJ, U.K. Search for other works by this author on: This Site PubMed Google Scholar Biochem Soc Trans (1975) 3 (1): 197–198. https://doi.org/10.1042/bst0030197 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Cite Icon Cite Get Permissions Citation ALAN L. IBBETSON, ROBERT B. FREEDMAN; Use of Gel Filtration to Monitor Ribosome-Membrane Interaction. Biochem Soc Trans 1 February 1975; 3 (1): 197–198. doi: https://doi.org/10.1042/bst0030197 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsBiochemical Society Transactions Search Advanced Search This content is only available as a PDF. © 1975 Biochemical Society1975 Article PDF first page preview Close Modal You do not currently have access to this content.
Adaptive Learning Algorithm for Cerebellar Model Articulation Controller: Neural Network Based Hybrid-Type Controller—Part I (2000)

Abstract Cerebellar model articulation controller (CMAC) is a useful neural network learning technique. It was developed two decades ago but yet lacks an adequate learning algorithm, especially when it is used in a hybrid- type controller. This work is intended to introduce a simulation study for examining the performance of a hybrid-type control system based on the conventional learning algorithm of CMAC neural network. This study showed that the control system is unstable. Then a new adaptive learning algorithm of a CMAC based hybrid- type controller is proposed. The main features of the proposed learning algorithm, as well as the effects of the newly introduced parameters of this algorithm have been studied extensively via simulation case studies. The simulation results showed that the proposed learning algorithm is a robust in stabilizing the control system. Also, this proposed learning algorithm preserved all the known advantages of the CMAC neural network. Part II of this work is dedicated to validate the effectiveness of the proposed CMAC learning algorithm experimentally.
The importance of L1 ORF2p cryptic sequence to ORF2p fragment-mediated cytotoxicity (2016)

The Long Interspersed Element 1 (LINE1 or L1) ORF2 protein (ORF2p) can cause DNA damage through the activity of its endonuclease domain (EN). The DNA double-strand breaks (DSB) introduced by the ORF2p EN have the potential to be mutagenic. Previously, our lab has shown that ORF2p fragments containing the EN domain could be expressed in mammalian cells and have variable cytotoxicity. Inclusion of the ORF2p sequence C-terminal to the EN domain in these fragments both reduced the cytotoxicity of these fragments and increased their presence in the nucleus as detected by Western blot analysis. Here, we identify the amino acids (aa 270-274) in the newly-identified ORF2p Cryptic region (Cry) that may be important to the subcellular localization and cytotoxic potential of these EN-containing ORF2p fragments.
Cephalometric landmark identification using fuzzy wavelet edge detector (2011)

Cephalometric analysis is essential in acquiring medical measurement for analysis prior to treatment of orthognatic surgery, dentofacial growth and malocclusion. Manual tracing based on the visual assessment of radiographic image is a task that requires specially trained clinicians. We have proposed an automatic landmark identification technique which eliminates operator's subjectivity, thereby improving the accuracy and efficiency of landmark identification. It is based on finer segmentation using template matching followed by fuzzy wavelet edge detection which determines the true edge. Finally the landmarks are marked on the edge on the basis of their geometric definitions. The landmarks identified were verified by orthodontists and the errors were found to be within the tolerance limit.
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports (2018)

Despite the digital nature of magnetic resonance imaging, the resulting observations are most frequently reported and stored in text documents. There is a trove of information untapped in medical health records, case reports, and medical publications. In this paper, we propose to mine brain medical publications to learn the spatial distribution associated with anatomical terms. The problem is formulated in terms of minimization of a risk on distributions which leads to a least-deviation cost function. An efficient algorithm in the dual then learns the mapping from documents to brain structures. Empirical results using coordinates extracted from the brain-imaging literature show that i) models must adapt to semantic variation in the terms used to describe a given anatomical structure, ii) voxel-wise parameterization leads to higher likelihood of locations reported in unseen documents, iii) least-deviation cost outperforms least-square. As a proof of concept for our method, we use our model of spatial distributions to predict the distribution of specific neurological conditions from text-only reports.
Reduced charge fluctuations in individual SnO2 nanowires by suppressed surface reactions (2012)

The interactions between metal oxide nanowires and molecular species can significantly affect the electrical properties of metal oxide nanowires. A passivation process is needed to stabilize the electrical characteristics, regardless of the environmental changes. Herein, we investigated the passivation effects of a polymethyl methacrylate (PMMA) layer on SnO2 nanowire (NW) field-effect transistors (FETs). As a result of the PMMA coating, the electrical properties of the SnO2 NW FETs improved. The electrical noise behavior in both non-passivated and passivated devices can be described with the carrier number fluctuation model associated with the trapping and the release of charge carriers at the surface. The non-passivated devices exhibited higher noise levels than those of the passivated devices. These results demonstrate that surface passivation can lead to the suppression of dynamic responses (electron trapping/release events and scattering fluctuations).
Bridging the Gap for Tokenizer-Free Language Models (2019)

Purely character-based language models (LMs) have been lagging in quality on large scale datasets, and current state-of-the-art LMs rely on word tokenization. It has been assumed that injecting the prior knowledge of a tokenizer into the model is essential to achieving competitive results. In this paper, we show that contrary to this conventional wisdom, tokenizer-free LMs with sufficient capacity can achieve competitive performance on a large scale dataset. We train a vanilla transformer network with 40 self-attention layers on the One Billion Word (lm1b) benchmark and achieve a new state of the art for tokenizer-free LMs, pushing these models to be on par with their word-based counterparts.
Enhancing hit discovery in virtual screening through accurate calculation of absolute protein-ligand binding free energies (2022)

In the hit identification stage of drug discovery, a diverse chemical space needs to be explored to identify initial hits. Contrary to empirical scoring functions, absolute protein-ligand binding free energy perturbation (ABFEP) provides a theoretically more rigorous and accurate description of protein-ligand binding thermodynamics and could in principle greatly improve the hit rates in virtual screening. In this work, we describe an implementation of an accurate and reliable ABFEP method in FEP+. We validated the ABFEP method on eight congeneric compound series binding to eight protein receptors including both neutral and charged ligands. For ligands with net charges, the alchemical ion approach is adopted to avoid artifacts in electrostatic potential energy calculations. The calculated binding free energies are highly correlated with experimental results with the weighted average of R2 of 0.55 for the entire dataset and an overall RMSE of 1.1 kcal/mol when protein reorganization effect upon ligand binding was accounted for. Through ABFEP calculations using apo versus holo protein structures, we demonstrated that the protein conformational and protonation state changes between the apo and holo proteins are the main physical factors contributing to the protein reorganization free energy manifested by the overestimation of raw ABFEP calculated binding free energies using the holo structures of the proteins. Furthermore, we performed ABFEP calculations in three virtual screening applications for hit enrichment. ABFEP greatly improves the hit rates as compared to docking scores or other methods like metadynamics. The highly accurate ABFEP results demonstrated in this work position it as a useful tool to improve the hit rates in virtual screening, thus facilitate hit discovery.
Design study of Corrugated Waveguide Slow-Wave Structure for THz amplification (2009)

THz Vacuum devices require high precision technological processes, but fabrication tolerances could highly affect the overall performances. Therefore a statistical analysis is fundamental for a reliable design. In this abstract, it is proposed a study on a Corrugated Waveguide Slow-Wave Structure for Traveling Wave Tubes in the THz region. An analytical model is validated by three dimensional electromagnetic softwares, both for cold and hot parameters. The proved accuracy and fast computation time make the model suitable for the sensitivity analysis of the structure.
The use of radiation in the elderly (2007)

Despite the fact that breast cancer is predominantly a disease of postmenopausal women, there have been no uniform recommendations for both locoregional and systemic therapy for women over 70. Until recently, older women have been excluded from clinical trials. This study is the first randomized trial that addresses the use of radiation therapy following lumpectomy in a favorable cohort of elderly women.
Des macro-nutriments alimentaires à la santé de l'homme (1995)

National audience
Para repensar la deconstrucción y los estudios culturales (2015)

Ressenya de: Roberto A. FOLLARI, Teorías débiles: para una crítica de la deconstrucción y de los estudios culturales. Rosario (Argentina): Editorial Homo Sapiens, Serie Estudios Sociales, 2002
Risk factors for acute graft-versus-host disease in patients undergoing transplantation with CD34+ selected blood cells from HLA-identical siblings (2002)

A study on 315 patients undergoing transplantation with CD34+ selected blood cells from HLA-identical siblings was performed to determine risk factors for acute GVHD (aGVHD). Recipients of a dose of CD34+ cells (x 10(6)/kg) of 2 or less, more than 2 to 4, and more than 4 had a cumulative incidence of aGVHD grades I-IV of 21%, 35%, and 43%, respectively (log-rank P =.01); similarly, recipients of a dose of CD3+ cells (x 10(6)/kg) of 0.05 or less, more than 0.05 to 0.1, and more than 0.1 had a cumulative incidence of aGVHD grades I-IV of 18%, 35%, and 44%, respectively (log-rank P =.007). Using a Cox regression model, 4 independent factors for aGVHD I-IV were identified: increased CD34+ cell dose (P =.02), increased CD3+ cell dose (P =.02), female patients (P =.01), and higher patient age (> 42 years) (P =.007). This study shows, for the first time in T-cell-depleted transplantations, a positive correlation between the number of CD34+ cells and aGVHD and, also, that the number of CD3+ cells necessary to initiate aGVHD is lower than previously reported.
Inhibition of CCR5 expression by IL-12 through induction of beta-chemokines in human T lymphocytes. (1999)

IL-12 induces initiation of the differentiation of naive CD4+ T lymphocytes into Th1 cells and is important for the control of cell-mediated immunity. beta-Chemokines serve to attract various types of blood leukocytes to sites of infection and inflammation. The specific receptor for the beta-chemokines (macrophage-inflammatory protein (MIP)-1alpha, MIP-1beta, and RANTES), CCR5, also functions as the primary coreceptor for macrophage-tropic isolates of HIV-1. IL-12, but not IL-4, IL-10, or IL-13, now has been shown to down-modulate the surface expression of CCR5 induced by IL-2 on both CD4+ and CD8+ T lymphocytes. Decreased CCR5 surface expression was not secondary to transcriptional inhibition, given that CCR5 mRNA was enhanced in cells cultured in IL-12/IL-2 compared with those cultured in IL-2 only. The effect of IL-12 in down-modulation of CCR5 surface expression was shown to be mediated by soluble factors secreted from the T cells. Rapid and transient intracellular Ca2+ mobilization was induced in monocytes by IL-12-induced supernatants, which desensitized the response of monocytes to MIP-1alpha, but not their response to stromal cell-derived factor-1alpha. Neutralization with specific Abs identified these factors as MIP-1alpha and MIP-1beta from most donors. IL-4, IL-10, IFN-gamma, and IL-18 primarily inhibited MIP-1beta secretion and also weakly suppressed MIP-1alpha secretion. HIV-1 replication was inhibited in IL-2/IL-12-containing cultures that correlated with chemokine and chemokine-receptor levels. These data suggest that the effects of IL-12 on beta-chemokine production and chemokine-receptor expression may contribute to the immunomodulatory activities of IL-12 and may have potential therapeutic relevance in controlling HIV-1 replication.
Antiestrogen Therapy Is Active in Selected Ovarian Cancer Cases: The Use of Letrozole in Estrogen Receptor–Positive Patients (2007)

This is the first study of a hormonal agent in a preselected group of ER-positive ovarian cancer patients. A signature of predictive markers, including low HER2 expression, predicts response.
Space flight research leading to the development of enhanced plant products: Results from STS-94 (1998)

Products derived from plants, such as foods, pharmaceuticals, lumber, paper, oils, etc., are pervasive in everyday life and generate revenues in the hundreds of billions of dollars. Research on space-grown plants has the potential to alter quantities, properties and types of plant-derived products in beneficial ways. Research on space grown plants may help expand the utilization of this resource for Earth based benefit to an even greater extent. The use of space flight conditions may help provide a greater understanding and ultimate manipulation of the metabolic and genetic control of commercially important plant products. Companies that derive and sell plant products could significantly benefit from investing in space research and development. A flight investigation was conducted on the Shuttle mission STS-94 to establish the initial experimental conditions necessary to test the hypothesis that the exposure of certain plant forms to an adequate period of microgravity may divert the cell metabolic expenditure on structural compounds such as lignin to alternative secondary metabolic compounds which are of commercial interest. Nine species of plants were grown for 16 days in the Astro/Plant Generic Bioprocessing Apparatus (Astro/PGBA) under well-controlled environmental conditions. Approximately half of the plant species exhibited significant growth comparable with synchronous ground controls. The other flight plant species were stunted and showed signs of stress with the cause still under investigation. For the plants that grew well, analyses are underway and are expected to demonstrate the potential for space flight biotechnology research.
The Magnola Demonstration Plant: A Valuable Investment in Technology Development and Improvement (2000)

This chapter contains sections titled: The History of Magnola The Magnola Process Demonstration Plant The Magnola Commercial Plant
Nanomaterials Can Dynamically Steer Cell Responses to Biological Ligands (2010)

Traditional tissue regeneration approaches to activate cell behaviors on biomaterials rely on the use of extracellular-matrix-based or soluble growth-factor cues. In this article, a novel approach is highlighted to dynamically steer cellular phenomena such as cell motility based on nanoscale substratum features of biological ligands. Albumin-derived nanocarriers (ANCs) with variable nanoscale-size features are functionalized with fibronectin III9-10 matrix ligands, and their effects on primary human keratinocyte activation are investigated. The presentation of fibronectin fragments from ANCs significantly enhances cell migration as compared to free ligands at equivalent concentrations. Notably, cell migration is influenced by the size of the underlying ANCs even for variably sized ANCs covered in comparable levels of fibronectin fragment. For equivalent ligand concentrations, cell migration on the smaller-sized ANCs (30 and 50 nm) is significantly enhanced as compared to that on larger-sized ANCs (75 and 100 nm). In contrast, the enhancement of cell migration on nanocarriers is abolished by the use of immobilized, biofunctionalized ANCs, indicating that "dynamic" nanocarrier internalization events underlie the role of nanocarrier geometry on the differential regulation of cell migration kinetics. Uptake studies using fluorescent ANCs indicate that larger-sized ANCs cause delayed endocytic kinetics and hence could present barriers for internalization during the cell adhesion and motility processes. Motile cells exhibit diminished migration upon exposure to clathrin inhibitors, but not caveolin inhibitors, suggesting the role of clathrin-mediated endocytosis in facilitating cell migratory responsiveness to the nanocarriers. Overall, a monotonic relationship is found between the nanocarrier cytointernalization rate and the cell migration rate, suggesting the possibility of designing biointerfacial features for the dynamic control of cell migration. Thus, the functionalization of a mobile nanocarrier by a biorelevant ligand can be used to sensitize cellular motility activation to the adhesion ligands, and such nanocarrier interfaces can dynamically attune cell migration kinetics by modulating the uptake of the ligand-nanocarrier complex via nanocarrier size.
Identification and localization of vegetative STORAGE PROTEINS IN LEGUME LEAVES (1996)

Leaves from 12 legume species representing two subtribes were examined by various techniques for the presence of vegetative storage proteins (VSPs) similar to the 27, 29, and 94 kD VSPs of soybean. Polyacrylamide gel electrophoresis (PAGE) of leaf protein followed by western immunoblotting using antibody that recognizes soybean VSP94, a lipoxygenase, demonstrated that this protein is present in six of the nine species tested. Blotting with antibody to soybean VSP27/29, which are glycoproteins, gave labelling in seven species and glycoprotein affino‐blots showed that glycosylated proteins ranging around 27 to 29 kD were present in all nine species examined. Immunocytochemical localization studies of eight species demonstrated that proteins antigenically similar to VSP94 and VSP27/29 are specifically accumulated in the vacuole of paraveinal mesophyll (PVM) cells. They were not detectable at significant levels in other mesophyll cells using this technique. Comparisons of protein compositions of isolated PVM and mesophyll protoplasts from seven species further confirmed the specialized nature of the PVM. VSP94 and proteins ranging from 25 to 35 kD molecular mass were the major proteins of PVM of all but one species while Rubisco was quite low in amount compared to mesophyll protoplasts. The results show that VSP synthesis and accumulation is a general feature of legume leaves containing a PVM layer and indicate that the PVM plays a specialized role in nitrogen metabolism and partitioning in these species.
High bootstrap current ICRH plasmas in JET (1993)

High poloidal beta plasmas with a correspondingly high bootstrap fraction of 70+or-15% have been produced using ion cyclotron resonance heating, in an ELM free H mode confinement regime. This regime is terminated by a large edge instability, causing a reversion to L mode confinement. Possible causes for this instability are discussed and the overall implications of the results for steady state bootstrap dominated operation are examined
A Content-Driven System Architecture for Tackling Automatic Cataloging of Animated Movie Databases (2012)

This article discusses content-based access to video information in large video databases and particularly, to retrieve animated movies. The authors examine temporal segmentation, and propose cut, fade and dissolve detection methods adapted to the constraints of this domain. Further, the authors discuss a fuzzy linguistic approach for deriving automatic symbolic/semantic content annotation in terms of color techniques and action content. The proposed content descriptions are then used with several data mining techniques (SVM, k-means) to automatically retrieve the animation genre and to classify animated movies according to some color techniques. The authors integrate all the previous techniques to constitute a prototype client-server architecture for a 3D virtual environment for interactive video retrieval.
The Relationship of Gasoline Diolefin Content to Deposits in Multiport Fuel Injectors (1988)

The diolefin content of unstable gasolines has been implicated in the restriction of multiport fuel injectors by deposits. Vehicle tests of the effect of adding a diolefin mixture to a stable (olefinic) gasoline indicated that a deposit-producing gasoline resulted. Laboratory oxidation tests showed that addition of a «dienophile» to an unstable gasoline significantly reduced deposit formation, increased oxidation stability, and reduced gum formation