gebhart/patrepeval huggingface dataset:
Mussel-Inspired Direct Immobilization of Nanoparticles and Application for Oil–Water Separation (2014)

Immobilization of various nanoparticles onto complex 2D or 3D macroscopic surface is an important issue for nanotechnology, but the challenge remains to explore a facile, general and environmentally friendly method for achieving this goal. Taking inspiration from the adhesion of marine mussels, we reported here that oxide nanoparticles of different compositions and sizes were directly and robustly anchored on the surface of monolithic foams ranging from polymer to metals in an aqueous solution of dopamine. The effective immobilization of the nanoparticles was strongly dependent on the oxidation of dopamine, which could be tuned by either pH or by adding n-dodecanethiol. Interestingly, the thiol addition not only allowed the immobilization to take place in a wide pH range, but also led to superhydrophobicity of the resulting foams. Application of the superhydrophobic foams was illustrated by fast and selective collecting oils from water surface. Because catecholic derivatives exhibit high affinity to a variety of substances, the present strategy might be extendable to fabricate hybrid nanomaterials desirable for self-cleaning, environmental protection, sensors and catalysts, and so forth.
Locating sources of forced oscillations using transfer functions (2017)

This paper proposes a transfer function method to locate sources of forced oscillations using phasor measurement unit (PMU) data. Forced oscillations herald problematic controls and device failure. They also incur stability concerns of power grid operators. To mitigate the negative impacts of forced oscillations, it is essential to locate their sources in time. This paper proposes a method to locate oscillation sources by building transfer functions between bus frequencies using PMU data. It is shown through analytical and simulation studies that the relative location of an oscillation source with respect to measurement points can be determined using the magnitude responses and phase responses of transfer functions. The proposed method does not heavily rely on a dynamic model and therefore is easy to implement and apply.
Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 1: Theory (2004)

Different on-line submicron particle sizing techniques report different “equivalent diameters.” For example, differential mobility analyzers (DMAs) report electrical mobility diameter (dm ), while a number of recently developed instruments (such as the Aerodyne aerosol mass spectrometer, or AMS) measure vacuum aerodynamic diameter (dva ). Particle density and physical morphology (shape) have important effects on diameter measurements. Here a framework is presented for combining the information content of different equivalent diameter measurements into a single coherent mathematical description of the particles. We first present a review of the mathematical formulations used in the literature and their relationships. We then show that combining dm and dva measurements for the same particle population allows the placing of constraints on particle density, dynamic shape factor (x), and fraction of internal void space. The amount of information that can be deduced from the combination of dm and dm measurement...
Outstanding Reviewers for Metallomics in 2016 (2017)

Graphical AbstractOpen in new tabDownload slideWe would like to take this opportunity to highlight the Outstanding Reviewers for Metallomics in 2016, as selected by the editorial team for their significant contribution to the journal.
Application of Cybernetics and Control Theory for a New Paradigm in Cybersecurity (2013)

A significant limitation of current cyber security research and techniques is its reactive and applied nature. This leads to a continuous 'cyber cycle' of attackers scanning networks, developing exploits and attacking systems, with defenders detecting attacks, analyzing exploits and patching systems. This reactive nature leaves sensitive systems highly vulnerable to attack due to un-patched systems and undetected exploits. Some current research attempts to address this major limitation by introducing systems that implement moving target defense. However, these ideas are typically based on the intuition that a moving target defense will make it much harder for attackers to find and scan vulnerable systems, and not on theoretical mathematical foundations. The continuing lack of fundamental science and principles for developing more secure systems has drawn increased interest into establishing a 'science of cyber security'. This paper introduces the concept of using cybernetics, an interdisciplinary approach of control theory, systems theory, information theory and game theory applied to regulatory systems, as a foundational approach for developing cyber security principles. It explores potential applications of cybernetics to cyber security from a defensive perspective, while suggesting the potential use for offensive applications. Additionally, this paper introduces the fundamental principles for building non-stationary systems, which is a more general solution than moving target defenses. Lastly, the paper discusses related works concerning the limitations of moving target defense and one implementation based on non-stationary principles.
Pore water and solid phase sulfur, carbon and iron data from samples collected in the Argentine Basin during expedition M78 (2016)

The interplay between sediment deposition patterns, organic matter type and the quantity and quality of reactive mineral phases determines the accumulation, speciation and isotope composition of pore water and solid phase sulfur constituents in marine sediments. Here, we present the sulfur geochemistry of siliciclastic sediments from two sites along the Argentine continental slope--a system characterized by dynamic deposition and reworking, which result in non-steady state conditions. The two investigated sites have different depositional histories but have in common that reactive iron phases are abundant and that organic matter is refractory--conditions that result in low organoclastic sulfate reduction rates. Deposition of reworked, isotopically light pyrite and sulfurized organic matter appear to be important contributors to the sulfur inventory, with only minor addition of pyrite from organoclastic sulfate reduction above the sulfate-methane transition (SMT). Pore-water sulfide is limited to a narrow zone at the SMT. The core of that zone is dominated by pyrite accumulation. Iron monosulfide and elemental sulfur accumulate above and below this zone. Iron monosulfide precipitation is driven by the reaction of low amounts of hydrogen sulfide with ferrous iron and is in competition with the oxidation of sulfide by iron (oxyhydr)oxides to form elemental sulfur. The intervals marked by precipitation of intermediate sulfur phases at the margin of the zone with free sulfide are bordered by two distinct peaks in total organic sulfur. Organic matter sulfurization appears to precede pyrite formation in the iron-dominated margins of the sulfide zone, potentially linked to the presence of polysulfides formed by reaction between dissolved sulfide and elemental sulfur. Thus, SMTs can be hotspots for organic matter sulfurization in sulfide-limited, reactive iron-rich marine sedimentary systems. Furthermore, existence of elemental sulfur and iron monosulfide phases meters below the SMT demonstrates that in sulfide-limited systems metastable sulfur constituents are not readily converted to pyrite but can be buried to deeper sediment depths. Our data show that in non-steady state systems, redox zones do not occur in sequence but can reappear or proceed in inverse sequence throughout the sediment column, causing similar mineral alteration processes to occur at the same time at different sediment depths.
Crystallization-Induced Fluid Flow in Polymer Melts Undergoing Solidification (2007)

ADVERTISEMENT RETURN TO ISSUEPREVCommunication to the...Communication to the EditorNEXTCrystallization-Induced Fluid Flow in Polymer Melts Undergoing SolidificationDonghua Xu, Zhigang Wang, and Jack F. DouglasView Author Information CAS Key Laboratory of Engineering Plastics, Joint Laboratory of Polymer Science and Materials, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100080, China Polymers Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899 Cite this: Macromolecules 2007, 40, 6, 1799–1802Publication Date (Web):February 17, 2007Publication History Received8 December 2006Revised18 January 2007Published online17 February 2007Published inissue 1 March 2007https://pubs.acs.org/doi/10.1021/ma0628174https://doi.org/10.1021/ma0628174rapid-communicationACS PublicationsCopyright © 2007 American Chemical SocietyRequest reuse permissionsArticle Views595Altmetric-Citations17LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (3)»Supporting Information Supporting Information SUBJECTS:Crystallization,Fluid dynamics,Polymer particles,Polymers,Stress Get e-Alerts
Ammonothermal crystal growth of gallium nitride using ZnCl2 as mineralizer (2011)

Ammonothermal crystal growth of GaN on a HVPE grown GaN seed is realized using ZnCl2 as a novel acidic mineralizer. Compared with other NH4X acidic mineralizers (X: Cl, Br and I), ZnCl2 provides significantly increased crystal growth speed and improved crystal quality under milder operating conditions.
Fabrication of 3-D alumina photonic bandgap structures by laser rapid prototyping. application to the design of three dimensional photonic crystal resonator antenna (2004)

This paper is concerned with improving antenna performance by using photonic bandgap (PBG) structures and their design by laser rapid prototyping method. A solution is to use high dielectric constant to reduce the thickness of these antennas. The fabrication of 1-D, 2-D and 3-D PBG structures was achieved using the laser rapid prototyping technique and a sintering stage of densification with alumina as high permittivity materials. Laser rapid prototyping has proven to be an efficient and flexible tool to realize PBG structures. The electromagnetic measurements made on the 3-D alumina structures use a free space microwave measurement system to permit a nondestructive and in situ testing method over a wide frequency range to characterize the bandgap. These materials are used for their frequency properties and their ability to enhance the behaviour of a single patch antenna in order to create a directive antenna.
(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment (2022)

Insufficient Social Cost of Carbon (SCC) estimation methods and short-term decision-making horizons have hindered the ability of carbon emitters to properly correct for the negative externalities of climate change, as well as the capacity of nations to balance economic and climate policy. To overcome these limitations, we introduce Retrospective Social Cost of Carbon Updating (ReSCCU), a novel mechanism that corrects for these limitations as empirically measured evidence is collected. To implement ReSCCU in the context of carbon taxation, we propose Retroactive Carbon Pricing (ReCaP), a market mechanism in which polluters offload the payment of ReSCCU adjustments to insurers. To alleviate systematic risks and minimize government involvement, we introduce the Private ReCaP (PReCaP) prediction market, which could see real-world implementation based on the engagement of a few high net-worth individuals or independent institutions.
IT Value Network Measurement (2012)

Organizations need a new kind of IT investment evaluation approach, one designed to measure the IT value creation within the business network. In assessing the value of new IT investments, it is proposed that there are six stages of evaluation, through which certain techniques or measures should be applied. IT investments should be assessed at each stage, applying one or more primary or secondary measures or techniques per stage. IT investment evaluation assessment stages include identifying, justifying, prioritizing, selecting, performing, and realizing. IT value network measurement consists of selecting the right measures, for the right investment type, at the right time. The IT investment evaluation assessment stages provide the timing framework. The objective is to determine the projected value of the investment, within degrees of confidence or accuracy.
PRO: Patients With Acute‐on‐Chronic Liver Failure Should Receive Priority on the Liver Transplant Waiting List (2022)

Content available: Audio Recording.
A quantitative long-term cryobiological study of malarial parasites. (1977)

A study spanning 10 years indicates that the erythrocytic stages of malarial parasites can be stored indefinitely in the vapour phase of liquid nitrogen without significant loss of infectivity. The results also suggest that loss due to the recovery procedures exceeds any loss that may have occurred during freezing and thawing. When feasible, large pools of material should be divided into smaller aliquots before storing the organisms at a low temperature, since freezing a second time produces significant losses of infectivity. Sporozoites and exoerythrocytic stages may be treated similarly, but the optimum conditions for freezing these forms have yet to be determined.
190V N-channel lateral IGBT integration in SOI 0.35 &#x00B5;m BCD technology (2008)

The integration of 190 V N-Ch. ateral IGBT in SOI 0.35 mum shrunk BCD technology is described in this paper. LIGBT design optimization by simulation and silicon characterization data are here reported, highlighting the superior current capability of LIGBT with respect to equivalent power MOS. Behavior during high temperature reverse bias (HTRB) test was investigated and basic IGBT structure modified to minimize the stress induced effects. The novel device shows a very high saturation current (around 2.5 kA cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-2</sup> ) and excellent electrical parameter stability after HTRB stress test.
Serum Endotoxin Activity Measured with Endotoxin Activity Assay Is Associated with Serum Interleukin-6 Levels in Patients on Chronic Hemodialysis (2016)

A high percentage of PHD has intermediate or high EA. Intermediate-high EA is significantly associated with serum IL-6 levels.
Generalized approximate message passing for estimation with random linear mixing (2011)

We consider the estimation of a random vector observed through a linear transform followed by a componentwise probabilistic measurement channel. Although such linear mixing estimation problems are generally highly non-convex, Gaussian approximations of belief propagation (BP) have proven to be computationally attractive and highly effective in a range of applications. Recently, Bayati and Montanari have provided a rigorous and extremely general analysis of a large class of approximate message passing (AMP) algorithms that includes many Gaussian approximate BP methods. This paper extends their analysis to a larger class of algorithms to include what we call generalized AMP (G-AMP). G-AMP incorporates general (possibly non-AWGN) measurement channels. Similar to the AWGN output channel case, we show that the asymptotic behavior of the G-AMP algorithm under large i.i.d. Gaussian transform matrices is described by a simple set of state evolution (SE) equations. The general SE equations recover and extend several earlier results, including SE equations for approximate BP on general output channels by Guo and Wang.
Volumetric 3D-T2-weighted MRI for the prostate cancer at 3T with interactive multiplanar reformat imaging: Are there any additional values over 2D-T2-weighted images? (2012)

Poster: ECR 2012 / C-0980 / Volumetric 3D-T2-weighted MRI for the prostate cancer at 3T with interactive multiplanar reformat imaging: Are there any additional values over 2D-T2-weighted images? by: S. Takahashi, K. Kitajima, Y. Ueno, Y. Ohno, K. Sugimura; Kobe/JP
New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data (2016)

Bayesian network (BN) reconstruction is a prototypical systems biology data analysis approach that has been successfully used to reverse engineer and model networks reflecting different layers of biological organization (ranging from genetic to epigenetic to cellular pathway to metabolomic). It is especially relevant in the context of modern (ongoing and prospective) studies that generate heterogeneous high-throughput omics datasets. However, there are both theoretical and practical obstacles to the seamless application of BN modeling to such big data, including computational inefficiency of optimal BN structure search algorithms, ambiguity in data discretization, mixing data types, imputation and validation, and, in general, limited scalability in both reconstruction and visualization of BNs. To overcome these and other obstacles, we present BNOmics, an improved algorithm and software toolkit for inferring and analyzing BNs from omics datasets. BNOmics aims at comprehensive systems biology-type data exploration, including both generating new biological hypothesis and testing and validating the existing ones. Novel aspects of the algorithm center around increasing scalability and applicability to varying data types (with different explicit and implicit distributional assumptions) within the same analysis framework. An output and visualization interface to widely available graph-rendering software is also included. Three diverse applications are detailed. BNOmics was originally developed in the context of genetic epidemiology data and is being continuously optimized to keep pace with the ever-increasing inflow of available large-scale omics datasets. As such, the software scalability and usability on the less than exotic computer hardware are a priority, as well as the applicability of the algorithm and software to the heterogeneous datasets containing many data types-single-nucleotide polymorphisms and other genetic/epigenetic/transcriptome variables, metabolite levels, epidemiological variables, endpoints, and phenotypes, etc.
Speaker Recognition Based on Deep Learning: An Overview (2020)

Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of comprehensive reviews on the exciting progress. In this paper, we review several major subtasks of speaker recognition, including speaker verification, identification, diarization, and robust speaker recognition, with a focus on deep-learning-based methods. Because the major advantage of deep learning over conventional methods is its representation ability, which is able to produce highly abstract embedding features from utterances, we first pay close attention to deep-learning-based speaker feature extraction, including the inputs, network structures, temporal pooling strategies, and objective functions respectively, which are the fundamental components of many speaker recognition subtasks. Then, we make an overview of speaker diarization, with an emphasis of recent supervised, end-to-end, and online diarization. Finally, we survey robust speaker recognition from the perspectives of domain adaptation and speech enhancement, which are two major approaches of dealing with domain mismatch and noise problems. Popular and recently released corpora are listed at the end of the paper.
5G fronthaul-latency and jitter studies of CPRI over ethernet (2018)

Common Public Radio Interface (CPRI) is a successful industry cooperation defining the publicly available specification for the key internal interface of radio base stations between the radio equipment control (REC) and the radio equipment (RE) in the fronthaul of mobile networks. However, CPRI is expensive to deploy, consumes large bandwidth, and currently is statically configured. On the other hand, an Ethernet-based mobile fronthaul will be cost-efficient and more easily reconfigurable. Encapsulating CPRI over Ethernet (CoE) is an attractive solution, but stringent CPRI requirements such as delay and jitter are major challenges that need to be met to make CoE a reality. This study investigates whether CoE can meet delay and jitter requirements by performing FPGA-based Verilog experiments and simulations. Verilog experiments show that CoE encapsulation with fixed Ethernet frame size requires about tens of microseconds. Numerical experiments show that the proposed scheduling policy of CoE flows on Ethernet can reduce jitter when redundant Ethernet capacity is provided. The reduction in jitter can be as large as 1 μs, hence making Ethernet-based mobile fronthaul a credible technology.
Optimal wakeups clustering for highly-efficient operation of WSNs periodic applications (2014)

In this paper we present an efficient algorithm for clustering the system wakeups in Wireless Sensor Networks (WSNs), running periodic tasks from multiple heterogeneous sources. The clustering algorithm breaks the overall problem space of a system running periodic tasks in self-consistent sub problems, referred to as clusters, on which the optimal sequence of system wakeups can be found without loss of global optimality. Once a cluster is found through the presented algorithm, it is fed to the subsequent optimization phases for determining the optimal sequence of system wakeups. Experimental results show that the algorithm effectively reduces the problem sizes, strongly reducing the complexity of the subsequent task merging optimization phases.
Strukturbasierte Entwicklung von Protein‐Protein‐Interaktionsinhibitoren: Stabilisierung und Nachahmung von Peptidliganden (2015)

Abstract Protein‐Protein‐Interaktionen (PPIs) spielen auf allen Ebenen der Zellorganisation eine wichtige Rolle, was die Entwicklung von PPI‐Inhibitoren äußerst interessant macht. Die Herstellung von selektiven Inhibitoren ist wegen der relativ flachen und ausgedehnten Protein‐Protein‐Interaktionsflächen oftmals sehr aufwendig. Derartige Inhibitoren können beispielsweise durch das Nachahmen von Peptidliganden in deren bioaktiver Konformation generiert werden. Für die Entwicklung so genannter Peptidmimetika steht eine Reihe von Ansätzen zur Verfügung, die eine Ausrichtung der Seitenkettenfunktionalitäten in Analogie zu einer bestimmten Peptidsekundärstruktur ermöglichen. In diesem Aufsatz führen wir eine neue Klassifizierung von Peptidmimetika (Klasse A–D) ein, die eine klare Zuordnung der bestehenden Strategien erlaubt. Basierend auf dieser Klassifizierung werden Strategien erörtert, die bereits für ein strukturbasiertes Design von PPI‐Inhibitoren durch Stabilisierung oder Nachahmung von Kehren, β‐Faltblattstrukturen und Helices angewendet wurden.