gebhart/patrepeval huggingface dataset:
Mechanism of magnetic recovery in the disorder-order transformation ofFe70Al30mechanically deformed alloys (2005)

The degree of order in $\mathrm{Fe}\text{\ensuremath{-}}\mathrm{Al}$ intermetallic alloys has an important influence on their magnetic properties. Moreover, the deformation of ordered alloys causes a dramatic increase of magnetization. If deformed alloys are heated, their magnetic properties decrease again. The reordering process was monitored by neutron diffraction, M\"ossbauer spectroscopy, and calorimetric measurements on the ${\mathrm{Fe}}_{70}{\mathrm{Al}}_{30}$ crushed alloy. This indicates that the reordering process occurs in two stages. In the first $(150--200\phantom{\rule{0.2em}{0ex}}\ifmmode^\circ\else\textdegree\fi{}\mathrm{C})$ new small B2 phase domains are nucleated due to vacancy migration. A second reordering stage occurs between 300 and $450\phantom{\rule{0.2em}{0ex}}\ifmmode^\circ\else\textdegree\fi{}\mathrm{C}$, where dislocation motion induces B2 domain growth and A2 phase elimination. The main mechanism responsible for this decrease of magnetization during the reordering process is the decrease of the disordered A2 phase content in the alloy.
Time-series forecasting with deep learning: a survey (2021)

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs used in both one-step-ahead and multi-horizon time-series forecasting-describing how temporal information is incorporated into predictions by each model. Next, we highlight recent developments in hybrid deep learning models, which combine well-studied statistical models with neural network components to improve pure methods in either category. Lastly, we outline some ways in which deep learning can also facilitate decision support with time-series data. This article is part of the theme issue 'Machine learning for weather and climate modelling'.
A Short-Term Forecasting Method for Photovoltaic Power Based on Ensemble Adaptive Boosting Random Forests (2020)

Accurate and reliable forecast of Photovoltaic (PV) power is crucial for power system dispatch and control. In this paper, a novel short-term PV generation forecast approach based on ensemble adaptive boosting random forests (EABRF) is proposed. The approach sets the weight distribution for training samples and bootstrap sampling is applied. By this means, different sub-training data sets with weights are generated to train the decision trees. The output of random forests is that the average value of each decision tree. Further, by calculating the error rate and assigning corresponding weight to each random forests, the weighted result of random forests can be obtained. The distinguishing features of the proposed approach are as follows: (a) The approach reduces the risk of overfitting by using the idea of ensemble learning; (b) The proposed approach can plenty mine the information in multidimensional features; (c) It has good generalization and robustness by combining adaptive boosting with random forests. PV power forecasting has been conducted in four PV plants using the proposed approach with the historical PV power and numerical weather prediction (NWP) as the inputs. The results illustrate that the proposed method is effective for forecasting of PV power generation with satisfactory forecast accuracy.
Empirical comparison of two least-squares methods for computing image shift with application to correlation tracking (2004)

Many trackers make use of correlation techniques to provide an estimate of the shift between incoming imagery and a stored reference image. One efficient method for estimating this shift is based on a least squares approach that makes use of gradient and difference imagery to avoid the computationally expensive construction of a correlation surface. A problem with this method is that it tends to underestimate image shifts when there is significant noise in the reference image-which is often the case. An alternative method makes use of a generalized least squares approach that takes the noise in the reference image into account when estimating the image shift. This paper describes these two correlation algorithms and presents the results of an empirical comparison of their performance under varying noise conditions for a variety of test imagery.
Reagentless glucose biosensor based on the directelectrochemistry of glucose oxidase on carbonnanotube-modified electrodes (2006)

The direct electrochemistry of glucose oxidase (GOD) was revealed at a carbon nanotube (CNT)-modified glassy carbon electrode, where the enzyme was immobilized with a chitosan film containing gold nanoparticles. The immobilized GOD displays a pair of redox peaks in pH 7.4 phosphate buffer solutions (PBS) with the formal potential of about -455 mV (vs. Ag/AgCl) and shows a surface-controlled electrode process. Bioactivity remains good, along with effective catalysis of the reduction of oxygen. In the presence of dissolved oxygen, the reduction peak current decreased gradually with the addition of glucose, which could be used for reagentless detection of glucose with a linear range from 0.04 to 1.0 mM. The proposed glucose biosensor exhibited high sensitivity, good stability and reproducibility, and was also insensitive to common interferences such as ascorbic and uric acid. The excellent performance of the reagentless biosensor is attributed to the effective enhancement of electron transfer between enzyme and electrode surface by CNTs, and the biocompatible environment that the chitosan film containing gold nanoparticles provides for immobilized GOD.
Molecular Interfaces of the Galactose-binding Protein Tectonin Domains in Host-Pathogen Interaction (2010)

Beta-propeller proteins function in catalysis, protein-protein interaction, cell cycle regulation, and innate immunity. The galactose-binding protein (GBP) from the plasma of the horseshoe crab, Carcinoscorpius rotundicauda, is a beta-propeller protein that functions in antimicrobial defense. Studies have shown that upon binding to Gram-negative bacterial lipopolysaccharide (LPS), GBP interacts with C-reactive protein (CRP) to form a pathogen-recognition complex, which helps to eliminate invading microbes. However, the molecular basis of interactions between GBP and LPS and how it interplays with CRP remain largely unknown. By homology modeling, we showed that GBP contains six beta-propeller/Tectonin domains. Ligand docking indicated that Tectonin domains 6 to 1 likely contain the LPS binding sites. Protein-protein interaction studies demonstrated that Tectonin domain 4 interacts most strongly with CRP. Hydrogen-deuterium exchange mass spectrometry mapped distinct sites of GBP that interact with LPS and with CRP, consistent with in silico predictions. Furthermore, infection condition (lowered Ca(2+) level) increases GBP-CRP affinity by 1000-fold. Resupplementing the system with a physiological level of Ca(2+) did not reverse the protein-protein affinity to the basal state, suggesting that the infection-induced complex had undergone irreversible conformational change. We propose that GBP serves as a bridging molecule, participating in molecular interactions, GBP-LPS and GBP-CRP, to form a stable pathogen-recognition complex. The interaction interfaces in these two partners suggest that Tectonin domains can differentiate self/nonself, crucial to frontline defense against infection. In addition, GBP shares architectural and functional homologies to a human protein, hTectonin, suggesting its evolutionarily conservation for approximately 500 million years, from horseshoe crab to human.
Surface cleaning of copper by thermal and plasma treatment in reducing and inert ambients (1998)

The effects of surface cleaning procedures on the subsequent reactivity of a pure copper thin film to silane was investigated. Ex situ, wet etching and in situ dry, plasma etching using inert and reducing chemistries were employed. A few seconds low power (50 W) plasma exposure using a 3 vol% hydrogen in argon gas mixture was found to be the most beneficial technique for subsequent silicide formation by the silane exposure technique.
Downsizing Visualization Platforms: From Crays to Indigos and Beyond (1996)

Despite its increasingly negative connotation in other domains, downsizing is a positive trend as it applies to the computer hardware necessary to perform scientific visualization. In this talk, we will consider how the visualization of a particular data set, the Digital Terrain Model (DTM) derived from the Viking Orbiter imagery, has been realized in three distinct projects over the past decade. These examples serve to demonstrate how the vast improvements in computational performance both decrease the cost of such visualization efforts, and permit an increasing level of interactivity. We then consider how even today's graphical systems require the visualization designer to make intelligent choices and trade-offs in database rendering. Finally, we discuss how insights from an understanding of human visual perception can guide these design decisions, and suggest new options for visualization hardware and software.
DESIGN AND OPERATION OF A RADIATING LENS FED BY A GOUBAU BEAM-WAVEGUIDE. (1964)

The Goubau electromagnetic beam waveguide has given rise to the interesting problem of coupling energy between the guiding system and free space in an efficient manner. In this report, a coupler consisting of dielectric lenses is considered. The Goubau electromagnetic beam waveguide is used as a feed line. The coupler modifies the field distribution so as to illuminate a large radiating lens. The method of approach to the design of such a coupler is that of geometrical optics. This approach is justified as a first approximation since the dimensions of the elements in the guiding section as well as those in the coupling system are very large compared to a wavelength. (Author)
Two isoforms of the catalytic subunit of protein phosphatase 2A identified by cDNA cloning are the products of separate genes (1989)

Conference Article| February 01 1989 Two isoforms of the catalytic subunit of protein phosphatase 2A identified by cDNA cloning are the products of separate genes ODETE B. DA CRUZ E SILVA; ODETE B. DA CRUZ E SILVA 1Department of Biochemistry, Medical Sciences Institute, University of Dundee, Dundee DD1 4HN, Scotland Search for other works by this author on: This Site PubMed Google Scholar PATRICIA T. W. COHEN PATRICIA T. W. COHEN 1Department of Biochemistry, Medical Sciences Institute, University of Dundee, Dundee DD1 4HN, Scotland Search for other works by this author on: This Site PubMed Google Scholar Biochem Soc Trans (1989) 17 (1): 196–197. https://doi.org/10.1042/bst0170196 Article history Received: July 20 1988 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Cite Icon Cite Get Permissions Citation ODETE B. DA CRUZ E SILVA, PATRICIA T. W. COHEN; Two isoforms of the catalytic subunit of protein phosphatase 2A identified by cDNA cloning are the products of separate genes. Biochem Soc Trans 1 February 1989; 17 (1): 196–197. doi: https://doi.org/10.1042/bst0170196 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 Keywords: 1 × SSC is 0.15 m-NaCl/0.015 m-sodium citrate, pH 7.0 This content is only available as a PDF. © 1989 Biochemical Society1989 Article PDF first page preview Close Modal You do not currently have access to this content.
Efficacy and safety of linagliptin as add‐on therapy to insulin in Chinese patients with type 2 diabetes mellitus: A randomized, double‐blind, placebo‐controlled trial (2020)

This 24-week, double-blind, placebo-controlled, phase III trial evaluated the efficacy and safety of linagliptin in 206 Chinese patients with inadequately controlled (glycated haemoglobin [HbA1c] 7.5%-10.0%) type 2 diabetes mellitus (T2DM) receiving insulin (basal or premixed) ± metformin. Patients were randomized (1:1) to receive linagliptin 5 mg/d or placebo. The decrease from baseline in HbA1c (primary endpoint) was greater with linagliptin than with placebo (-0.61% vs. -0.20%, adjusted mean difference -0.40%; P = 0.0016). Linagliptin demonstrated significantly greater improvement in 2-hour postprandial glucose (-1.77 mmol/L [-31.95 mg/dL]; P < 0.001), and a numerical reduction in fasting plasma glucose (-0.34 mmol/L [-6.2 mg/dL]; P = 0.2241) versus placebo. Proportionally more patients on linagliptin achieved a HbA1c reduction of ≥0.5% versus those on placebo (odds ratio 2.293, P < 0.01). Adverse events in both groups were similar, with no new safety findings or clinically relevant changes in body weight. Among investigator-defined hypoglycaemic events (linagliptin: 17.3%; placebo: 12.7%; odds ratio 1.48, P = 0.337), none were severe. In Chinese patients with T2DM, linagliptin add-on to insulin improved glycaemic control and was well tolerated, without increased risk of hypoglycaemia or weight gain.
Privacy in the global e-village (2004)

Embed responsibility for privacy into radio-frequency identification tags and other information technology designed to network the physical world.
Adatome auf Festkörperoberflächen (1991)

Abstract Die Adatombewegung auf Oberflächen kovalenter Festkörper — allen voran Silizium — ist von großer Bedeutung für die Weiterentwicklung von Halbleiter‐Bauelementen. Mit Hilfe der Rastertunnelmikroskopie gelingt es zunehmend besser, die mikroskopischen Aspekte dieser Bewegung zu verstehen.
Multiplex PCR for the detection of Piscirickettsia salmonis, Vibrio anguillarum, Aeromonas salmonicida and Streptococcus phocae in Chilean marine farms (2011)

A multiplex (m-)PCR-based protocol was designed for the simultaneous detection of the main marine bacterial pathogens in Chilean salmon farms: Streptococcus phocae, Aeromonas salmonicida, Vibrio anguillarum and Piscirickettsia salmonis. Each of the 4 oligonucleotide primer pairs exclusively amplified the target gene of the specific bacterial pathogen. The detection limit of the m-PCR using purified total bacterial DNA was 50 pg microl(-1) for V anguillarum, 500 fg microl(-1) for P. salmonis, and 5 pg microl(-1) for S. phocae and A. salmonicida. This corresponded to average limits in the m-PCR sensitivity of 3.69 x 10(5) CFU ml(-1) of V anguillarum, 1.26 x 10(4) CFU m(-1) of S. phocae, and 5.33 x 10(4) CFU ml(-1) of A. salmonicida, while the detection limits for the spiked fish tissues, regardless of the sample (spleen, kidney, liver or muscle) were 2.64 +/- 0.54 x 10(7) CFU g(-1) for V. anguillarum, 9.03 +/- 1.84 x 10(5) CFU g(-1) for S. phocae, 3.8 +/- 0.78 x 10(3) CFU mg(-1) for A. salmonicida and 100 P. salmonis cells. However, high amounts of DNA from 3 bacterial species had a reduction of -1 log-unit on the amplification sensitivity of S. phocae or A. salmonicida when these were present in lower concentration in the multiplex reaction. The assay described in this study is a rapid, sensitive and efficient tool to detect the presence of S. phocae, A. salmonicida, V. anguillarum and P. salmonis simultaneously from pure cultures and tissues from clinically diseased fish. Therefore, it may be a useful alternative to culture-based methods for the diagnosis of infections in fish obtained from Chilean salmon farms.
Symptom onset and cellular pathology in facioscapulohumeral muscular dystrophy is accelerated by cigarette smoking (2023)

Abstract Facioscapulohumeral muscular dystrophy (FSHD) is an incurable skeletal myopathy. In absence of therapy, lifestyle factors impacting disease progression are important for clinical management. Monozygotic twins with FSHD often exhibit dramatically different disease progression, indicating existence of environmental disease modifiers. Here we analyse the USA National Registry for Myotonic Dystrophy &amp; Facioscapulohumeral Dystrophy, comprising 511 FSHD1 patients followed up annually for an average of 8 years. This multimodal, longitudinal dataset comprises 189 baseline and 37 annually assessed features. We developed a workflow for prospective cohort analysis and identify cigarette smoking as associated with a two-fold increase in risk of facial and lower limb involvement in FSHD1 patients. Our definition of lower limb involvement includes inability to run and climb steps unaided, important functional outcomes for FSHD patients. We then employed an assay to test the effects of cigarette smoke extract on human myoblasts in vitro. Cigarette smoke extract drove disproportionate defects in proliferation and myogenic differentiation of FSHD1 patient-derived myoblasts, compared to matched controls. Mitochondrial function was also inordinately affected in FSHD1 myoblasts exposed to cigarette smoke extract, with increased mitochondrial membrane potential and mitochondrial radical oxygen species (mitoROS) generation. Our findings support recommending smoking cessation in clinical management of FSHD.
Call for Papers Verification and Computational Logic Special Issue of Theory and Practice of Logic Programming (2001)

Submission deadline: January 10, 2002 The past decade has seen dramatic growth in the application of model checking techniques to the validation and verification of correctness properties of hardware, and more recently software systems. One of the methods is to model a hardware or software system as a finite, labelled transition system which is then exhaustively explored to decide whether a given temporal specification holds. Recently, there has been increasing interest in applying logic programming techniques to model checking in particular and verification in general. For example, table-based logic programming can be used as an efficient means of performing explicit model checking. Other research has successfully exploited set-based logic program analysis, constraint logic programming, and logic program transformation techniques. The aim of this special issue is to attract high-quality research papers on the interplay between verification techniques (e.g. model checking, reduction and abstraction) and logic programming techniques (e.g. constraints, abstract interpretation, program transformation).
Hybrid Indoor Positioning with Wi-Fi and Bluetooth: Architecture and Performance (2013)

Reliable indoor positioning is an important foundation for emerging indoor location based services. Most existing indoor positioning proposals rely on a single wireless technology, e.g., Wi-Fi, Bluetooth, or RFID. A hybrid positioning system combines such technologies and achieves better positioning accuracy by exploiting the different capabilities of the different technologies. In a hybrid system based on Wi-Fi and Bluetooth, the former works as the main infrastructure to enable fingerprint based positioning, while the latter (via hotspot devices) partitions the indoor space as well as a large Wi-Fi radio map. As a result, the Wi-Fi based online position estimation is improved in a divide-and-conquer manner. We study three aspects of such a hybrid indoor positioning system. First, to avoid large positioning errors caused by similar reference positions that are hard to distinguish, we design a deployment algorithm that identifies and separates such positions into different smaller radio maps by deploying Bluetooth hotspots at particular positions. Second, we design methods that improve the partition switching that occurs when a user leaves the detection range of a Bluetooth hotspot. Third, we propose three architectural options for placement of the computation workload. We evaluate all proposals using both simulation and walkthrough experiments in two indoor environments of different sizes. The results show that our proposals are effective and efficient in achieving very good indoor positioning performance.
Open automated demand response technologies for dynamic pricing and smart grid (2010)

We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into "building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.
Optical Information Processing (2009)

Information processing plays an important role in science and technology. As we have seen throughout this book, optical systems can perform a wide variety of transformations on signals that can be displayed over 2D planes. This is in contrast to electronic processors, where signals are presented only as a one-dimensional temporal signal. This chapter deals with a few examples of harnessing optical methods to the processing of images and other signals. An important field of optical image processing consists of pattern recognition, pattern localization and pattern tracking. Compared to digital methods, the atractivity of the optical correlator is rooted in its highly parallel operation and shift-invariance. This field was initiated by the work of VanderLugt [36] with the 4 f optical correlator as already discussed in chapter 5. However, the unavailability of proper optical-electronic-optical interfaces hindered the progress in this field until more advanced devices were fabricated. Unfortunately for optical scientists, the rapid advance of digital computers that occurred meanwhile did not leave much room for competition from optics. Nevertheless, there are various operations where the high parallelism of optics is still a significant advantage and there optical procedures can complement electronic processing rather than compete with it. The objective of this chapter is to introduce several procedures involving hybrid electro-optical signal processing. Specific applications to be addressed below are examples from which general procedures can be also deduced. In particular, some procedures and numerical algorithms will be reviewed that are useful for the design of DOEs. In addition to this main objective, this chapter provides several examples where the subjects studied in this book are put to work.