gebhart/patrepeval huggingface dataset:
Development of Redox-Active Optical Mesostructures at Chemically Modified Electrode Interfaces (1995)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDevelopment of Redox-Active Optical Mesostructures at Chemically Modified Electrode InterfacesYing Wu, Brian W. Pfennig, Andrew B. Bocarsly, and Edward P. VicenziCite this: Inorg. Chem. 1995, 34, 16, 4262–4267Publication Date (Print):August 1, 1995Publication History Published online1 May 2002Published inissue 1 August 1995https://pubs.acs.org/doi/10.1021/ic00120a036https://doi.org/10.1021/ic00120a036research-articleACS PublicationsRequest reuse permissionsArticle Views112Altmetric-Citations28LEARN 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-Alertsclose Get e-Alerts
Properties of atomic-layer-deposited Al 2 O 3 /ZnO dielectric films grown at low temperature for RF MEMS (2005)

Al<sub>2</sub>O<sub>3</sub>/ZnO alloy films were grown at 100°C using atomic layer deposition (ALD) techniques. It has been previously established that the resistivity of these films can be tuned over a wide range by varying the amount of Zn in the film. Al<sub>2</sub>O<sub>3</sub>/ZnO ALD alloy films can therefore be designed with a dielectric constant high enough to provide a large down-state capacitance and a resistivity low enough to promote the dissipation of trapped charges. The material and electrical properties of the Al<sub>2</sub>O<sub>3</sub>/ZnO ALD films were investigated using Auger electron spectroscopy (AES), nanoindentation, and mercury probe measurements. Chemical analysis using AES confirmed the presence of both Al and Zn in the alloys. The nanoindentation measurements were used to calculate the Young's modulus and hardness of the films. Pure Al<sub>2</sub>O<sub>3</sub> ALD was determined to have a modulus between 150 and 155 GPa and a hardness of ~8 GPa, while the results for pure ZnO ALD indicated a modulus between 120 and 140 GPa and a hardness of ~5 GPa. An Al<sub>2</sub>O<sub>3</sub>/ZnO ALD alloy displayed a modulus of 140-145 GPa, which falls between the two pure films, and a hardness of ~8 GPa, which is similar to the pure Al<sub>2</sub>O<sub>3</sub> film. The dielectric constants of the ALD films were calculated from the mercury probe measurements and were determined to be around 6.8. These properties indicate that the Al<sub>2</sub>O<sub>3</sub>/ZnO ALD films can be engineered as a property specific dielectric layer for RF MEMS devices.
Automatic circuit design and modelling for heterogeneous FPGAs (2017)

Contemporary FPGAs are composed of a mix of full custom and standard cell-based circuitry, organized into many heterogeneous blocks and the programmable routing. To explore new FPGA architectures, in particular those incorporating new hard blocks, we must estimate the area, power and delay of any new block of interest, and would like to do so efficiently so that many ideas can be evaluated. Unfortunately, existing open source academic FPGA circuit modelling tools cannot target such a wide range of blocks and cannot mix custom and standard cell circuitry. In this work, we present an enhanced (hybrid) COFFE flow that automatically optimizes and models a wide variety of blocks using an intelligent mix of full custom transistor sizing and standard cell flows. Hybrid COFFE can generate models for both advanced logic blocks enriched with hard arithmetic and fracturable LUTs using its full custom flow and arbitrary hard blocks (such as DSP blocks) described in standard Hardware Description Languages (HDLs) that are fabricated using a mix of standard cell and full custom flows. To validate this hybrid flow we model a Stratix-III like DSP block in 65 nm CMOS and find good agreement with published commercial data. The resulting block and routing models are output in the Verilog-To-Routing (VTR) architecture format to facilitate architectural exploration of advanced FPGA blocks.
Development of the high sensitive MEMS accelerometer for the seismic exploration system (2009)

We developed a new high-sensitive MEMS acceleration sensor for seismic exploration applying automotive control technology of MEMS acceleration sensor. Using the developed MEMS acceleration sensors, we build 100 pieces of the prototype sensor that detects 3-axial direction (x, y and z axes) acceleration for the seismic exploration system. The developed high-sensitive MEMS sensor is an electronic capacitance type using movable overhung silicon plate electrode that has gained achievements for automotive application. This detection system is high-sensitive and excellent in detecting temperature and DC characteristic detection. Under the theme of this study based on the technology of automotive MEMS acceleration sensor, we pursued development of achieving the required quality and performance for the reflection method seismic-exploration system aiming higher sensor sensitivity and more appropriateness of frequency characteristic, by reviewing structural analysis using Finite element method for simulation, reviewing Brownian noise and control of Squeeze film damping. The system of the trial built seismic-exploration system is configured focusing expected ultra-large scale measurements covering millions of channels foreseeable in near future, using automotive technologies.
Worst Month Tropospheric Attenuation Variability Analysis: ITU Model vs. Rain Gauge Data for Air-Satellite Links (2018)

An important unmanned aircraft system (UAS) application area is in rescue functions in remote areas, where ground station control may not be applicable. In such settings, an air-satellite (AS) communication link may be required. For transmissions in the millimeter wave (mmWave) frequency bands, rain attenuation can be a dominant fading component in the AS link, especially in so-called “worst month” conditions. Several models have been established by the International Telecommunications Union (ITV) to quantify rain attenuation. However, since the models are for global use, results are not always sufficiently accurate in local areas. Hence the use of local precipitation data can improve rain attenuation estimation accuracy. In this paper, we investigate attenuations in the AS channel in two frequency bands (30 and 45 GHz) for Columbia, SC. We use local rain gauge data from the National Oceanic and Atmospheric Administration (NOAA), along with the regional ITV data, as inputs to the ITV tropospheric time series attenuation model. Statistical results for attenuation distributions and time series are analyzed for the worst month. We show that use of local measured rain gauge data can yield rain fades significantly larger than those predicted by the regional ITV data-on the order of 20 dB larger, for probabilities (~ fractions of time) ranging from 0.001 to 0.04.
High-Efficient Generation of Induced Pluripotent Stem Cells from Human Astrocytes (2010)

The reprogramming of human somatic cells to induced pluripotent stem (hiPS) cells enables the possibility of generating patient-specific autologous cells for regenerative medicine. A number of human somatic cell types have been reported to generate hiPS cells, including fibroblasts, keratinocytes and peripheral blood cells, with variable reprogramming efficiencies and kinetics. Here, we show that human astrocytes can also be reprogrammed into hiPS (ASThiPS) cells, with similar efficiencies to keratinocytes, which are currently reported to have one of the highest somatic reprogramming efficiencies. ASThiPS lines were indistinguishable from human embryonic stem (ES) cells based on the expression of pluripotent markers and the ability to differentiate into the three embryonic germ layers in vitro by embryoid body generation and in vivo by teratoma formation after injection into immunodeficient mice. Our data demonstrates that a human differentiated neural cell type can be reprogrammed to pluripotency and is consistent with the universality of the somatic reprogramming procedure.
<title>Capturing wide-view images with uncalibrated cameras</title> (1998)

This paper describes a scheme to capture a wide-view image using a camera setup with uncalibrated cameras. The setup is such that the optical axes are pointed in divergent directions. The direction of view of the resulting image can be chosen freely in any direction between these two optical axes. The scheme uses eight-parameter perspective transformations to warp the images, the parameters of which are obtained by using a relative orientation algorithm. The focal length and scale factor of the two image are estimated by using Powell's multi-dimensional optimization technique. Experiments on real images show the accuracy of the scheme.
The Initial Course of IL1β, IL-6, IL-8, IL-10, IL-12, IFN-γ and TNF-α with Regard to Severity Grade in Acute Pancreatitis (2021)

Clinical reports on early immune dysregulation in acute pancreatitis (AP) are scarce. Herein we investigate the initial temporal development of selected biomarkers. Blood samples were taken at 0-24 and 25-48 h after onsets of AP were acquired. Mean values and temporal intermediate difference (delta-values) of IL-1β, IL-6, IL-8, IL-10, IL-12, IFN-γ and TNF-α were calculated. Differences between severity groups, predictive capacity of the biomarkers and association with severe disease were analyzed. Paired comparison of samples (n = 115) taken at 0-24 and 25-48 h after onsets of AP showed a change over time for IL-1β, IL-6, IL-8 and IL-10 (<i>p</i> < 0.05) and a significant difference between severity groups after 24 h. In ROC-analysis an IL-6 cut-off level of 196.6 pg/mL could differentiate severe AP (sensitivity 81.9, specificity 91.3). The delta-values of IL-1β and IL-6 were significantly associated with severe outcomes (odds ratios 1.085 and 1.002, respectively). Data of this work demonstrate a distinct change in IL-1β, IL-8, IL-10 and IL-6 over the first 48 h after onset of AP. The temporal development of biomarkers can assist in the early stratification of the disease. Herein IL-1β and IL-6 were associated with severe disease, however the prognostic capacity of investigated biomarkers is low.
Improved differential evolution‐based Elman neural network controller for squirrel‐cage induction generator system (2016)

An improved differential evolution (IDE) algorithm‐based Elman neural network (ENN) controller is proposed to control a squirrel‐cage induction generator (SCIG) system for grid‐connected wind power applications. First, the control characteristics of a wind turbine emulator are introduced. Then, an AC/DC converter and a DC/AC inverter are developed to convert the electric power generated by a three‐phase SCIG to the grid. Moreover, the dynamic model of the SCIG system is derived for the control of the square of DC‐link voltage according to the principle of power balance. Furthermore, in order to improve the transient and steady‐state responses of the square of DC‐link voltage of the SCIG system, an IDE‐based ENN controller is proposed for the control of the SCIG system. In addition, the network structure and the online learning algorithm of the ENN are described in detail. Additionally, according to the different wind speed variations, a lookup table built offline by the dynamic model of the SCIG system using the IDE is provided for the optimisation of the learning rates of ENN. Finally, to verify the control performance, some experimental results are provided to verify the feasibility and the effectiveness of the proposed SCIG system for grid‐connected wind power applications.
Calibration and Self‐Calibration of Smart Sensors (2014)

Calibration procedures are essential for establishing the accuracy of a sensor in relation to standards. This chapter discusses the basics of calibration and the specifics of smart-sensor calibration. Various calibration techniques are introduced, as well as trimming and correction techniques that can be used to adjust smart sensors after calibration. The chapter also explores the possibility of realizing self-calibrating smart sensors. Various forms of self-calibration are discussed, including the co-integration of additional sensors to compensate for cross-sensitivity, and the co-integration of an actuator to generate a calibration signal locally. Three case studies, of a smart temperature sensor, a smart wind sensor and a self-calibrating Hall sensor, are included to illustrate the various concepts discussed in this chapter.
Blockade of mineralocorticoid receptors improves salt-induced left-ventricular systolic dysfunction through attenuation of enhanced sympathetic drive in mice with pressure overload (2010)

These findings indicate that activation of brain alphaENaC and AT1R through mineralocorticoid receptors contributes to the acquisition of Na sensitivity to induce sympathoexcitation. Therefore, high salt intake accelerates sympathetic activation and LV systolic dysfunction in a pressure overload model.
Lachnumon and lachnumol A, new metabolites with nematicidal and antimicrobial activities from the ascomycete Lachnum papyraceum (Karst.) Karst. I. Producing organism, fermentation, isolation and biological activities. (1993)

Several chlorinated metabolites with nematicidal, antimicrobial, and cytotoxic activities were isolated from submerged cultures of the ascomycete Lachnum papyraceum. Three compounds were identified as (+)-mycorrhizin A (3), (+)-chloromycorrhizin A (4) and (+)-dechloromycorrhizin A (5). The occurrence of 5 as a natural product is new. Two compounds, lachnumon (1) and lachnumol A (2), were found to be new fungal metabolites with cytotoxic, nematicidal and antimicrobial activities.
Public policy research: deconstructing the French touch (2011)

This paper, written for the Forum section of Critical Policy Studies, is a personal account of public policy analysis in France which was first presented at the 2010 Grenoble Interpretive Policy Analysis conference. It aims to complement the piece published in this journal by Philippe Zittoun in 2010. It is not fully referenced, and only reflects the author's limited understanding and knowledge of different traditions of research in the French context. In contrast with many analyses in the social sciences that invent, or reinvent, some kind of ‘French touch’, I argue that there were always many contrasting intellectual traditions that were drawn on to analyze public policy in France, that none of them was dominant, and that many of them were not specifically French. Also, analysis of public policy was mainly developed within political science and sociology, where postmodern literature from Lyotard to Derrida was more or less non-existent The ‘French theory’ tradition, as invented in the United States, has had little or no influence on public policy analysis, with the important exceptions of Michel Foucault and Pierre Bourdieu. In other words, this short paper aims at rebutting the continuing external ‘intellectual commodification’ of French policy studies, while engaging with the unique sets of intellectual traditions that have emerged in France, with their cross-influences, in the study of public policy
A Transition Metal Containing Rotaxane in Motion: Electrochemically Induced Pirouetting of the Ring on the Threaded Dumbbell (1999)

Fast spinning motion is observed in a copper(I) rotaxane. This “motor-like” molecule consists of an axle, bearing two bulky stoppers at its ends, and a ring containing two differrent coordination sites, each of them corresponding to the preferred situation for copper(I) or copper(II). Thus, using electrochemistry, the axle can be forced to oscillate inside the wheel.
A paintable phosphorescent bandage for postoperative tissue oxygen assessment in DIEP flap reconstruction (2020)

Flaps are common in plastic surgery to reconstruct large tissue defects in cases such as trauma or cancer. However, most tissue oximeters used for monitoring ischemia in postoperative flaps are bulky, wired devices, which hinder direct flap observation. Here, we present the results of a clinical trial using a previously untried paintable transparent phosphorescent bandage to assess the tissue's partial pressure of oxygen (pO<sub>2</sub>). Statistical analysis revealed a strong relationship (<i>P</i> < 0.0001) between the rates of change of tissue oxygenation measured by the bandage and blood oxygen saturation (%stO<sub>2</sub>) readings from a standard-of-care ViOptix near-infrared spectroscopy oximeter. In addition, the oxygen-sensing bandage showed no adverse effects, proved easy handling, and yielded bright images across all skin tones with a digital single-lens reflex (DSLR) camera. This demonstrates the feasibility of using phosphorescent materials to monitor flaps postoperatively and lays the groundwork for future exploration in other tissue oxygen sensing applications.
Tuning of the interval in a nanohole array of anodic porous alumina through deformation of polymer templates (2017)

A new type of process for the fabrication of ideally ordered anodic porous alumina with the desired hole interval is demonstrated.
Single‐Material Graphene Thermocouples (2020)

Abstract On‐chip temperature sensing on a micro‐ to nanometer scale is becoming more desirable as the complexity of nanodevices keeps increasing and their downscaling continues. The continuation of this trend makes thermal probing and management more and more challenging. This highlights the need for scalable and reliable temperature sensors, which have the potential to be incorporated into current and future device structures. Here, it is shown that U‐shaped graphene stripes consisting of one wide and one narrow leg form a single material thermocouple that can function as a self‐powering temperature sensor. It is found that the graphene thermocouples increase in sensitivity with a decrease in leg width, due to a change in the Seebeck coefficient, which is in agreement with previous findings and report a maximum sensitivity of Δ S ≈ 39 μV K −1 .
Highly Selective Sorption of Small Unsaturated Hydrocarbons by Nonporous Flexible Framework with Silver Ion (2008)

Ag2[Cr3O(OOCC2H5)6(H2O)3]2[alpha-SiW12O40] [1] is a nonporous flexible ionic crystal composed of 2D-layers of polyoxometalates ([alpha-SiW12O40](4-)) and macrocations ([Cr3O(OOCC2H5)6(H2O)3](+)) stacking along the b-axis. The silver ions are located in the vicinity of the oxygen atoms of the polyoxometalates. The sorption amounts of small unsaturated hydrocarbons such as ethylene, propylene, n-butene, acetylene, and methyl acetylene into 1 are comparable to or larger than 1.0 mol mol(-1) and large hystereses are observed, while those of paraffins and larger unsaturated hydrocarbons are smaller than the adsorption on the external surface (<0.2 mol mol(-1)). Fine crystals of 1 exhibit ethylene/ethane and propylene/propane sorption ratios over 100 at 298 K and 100 kPa, and the values are larger by 1 order of magnitude among those reported. The results of sorption kinetics, in situ IR spectroscopy, single crystal X-ray crystallography, and in situ powder XRD studies show that small unsaturated hydrocarbons penetrate into the solid bulk of 1 through the pi-complexation with Ag(+). The sorption property of 1 is successfully applied to the collection of ethylene from the gas mixture of ethane and ethylene.
IIncreasing ANN Accuracy, by Improving the Training Dataset Criteria. Case Study: Identify the Formation Density from The Drilling Surface Parameters in Real-Time (2018)

Abstract Objective The objective of this paper is to introduce a new methodology to increase the accuracy of the Artificial Neural Network (ANN) by improving the selection criteria of training dataset. Such approach will result in faster and better prediction models. Methods and Procedures The strength of ANN is its capability to find a correlation between input and output. This correlation consists of several connections called neurons that represent coefficients and weight factors. Developing such neurons requires a large number of internal iterations and data processing, which include a lot of randomness, starting from identifying the training and testing dataset. This paper introduces a methodology that ensures the training dataset in ANN has a wide range and a small size, which improves the training dataset criteria and leads to results that are more accurate. Results and Conclusions A case study is conducted to identify the formation density from the drilling surface parameters. Several ANN models, including the proposed method, are constructed on the same dataset. Results show that the new methodology can be 85% faster and 18% more accurate than the traditional ANN on average. It is as accurate as the best traditional ANN, while the former is 90% faster than the latter. Novel and Additive Information The novelty in this approach is its methodology which results in much faster ANN development with higher accuracy. It is worth mentioning that the new methodology is based on 50% training dataset, which reduces the training dataset size up to 25% compared to the traditional methods.
Adult Stem Cells and Diseases of Aging (2014)

Preservation of adult stem cells pools is critical for maintaining tissue homeostasis into old age. Exhaustion of adult stem cell pools as a result of deranged metabolic signaling, premature senescence as a response to oncogenic insults to the somatic genome, and other causes contribute to tissue degeneration with age. Both progeria, an extreme example of early-onset aging, and heritable longevity have provided avenues to study regulation of the aging program and its impact on adult stem cell compartments. In this review, we discuss recent findings concerning the effects of aging on stem cells, contributions of stem cells to age-related pathologies, examples of signaling pathways at work in these processes, and lessons about cellular aging gleaned from the development and refinement of cellular reprogramming technologies. We highlight emerging therapeutic approaches to manipulation of key signaling pathways corrupting or exhausting adult stem cells, as well as other approaches targeted at maintaining robust stem cell pools to extend not only lifespan but healthspan.