gebhart/patrepeval huggingface dataset:
Allosteric Modulation of Ionotropic Glutamate Receptors Special Issue (2019)

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTAllosteric Modulation of Ionotropic Glutamate Receptors Special IssueNicholas I. CarruthersNicholas I. CarruthersJanssen Research & Development, LLC, La Jolla, California 92121, United StatesMore by Nicholas I. Carruthers, Timothy W. LovenbergTimothy W. LovenbergJanssen Research & Development, LLC, La Jolla, California 92121, United StatesMore by Timothy W. Lovenberg, and Stephen F. Traynelis*Stephen F. TraynelisDepartment of Pharmacology, Emory University School of Medicine, Atlanta, Georgia 30322, United StatesMore by Stephen F. Traynelishttp://orcid.org/0000-0002-3750-9615Cite this: ACS Med. Chem. Lett. 2019, 10, 3, 226Publication Date (Web):March 14, 2019Publication History Published online14 March 2019Published inissue 14 March 2019https://pubs.acs.org/doi/10.1021/acsmedchemlett.9b00047https://doi.org/10.1021/acsmedchemlett.9b00047editorialACS PublicationsCopyright © 2019 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views879Altmetric-Citations1LEARN 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 PDF (233 KB) Get e-AlertscloseSUBJECTS:Modulators,Monomers,Peptides and proteins,Receptors Get e-Alerts
LDM in Wireless In-Band Distribution Link and In-Band Inter-Tower Communication Networks for Backhaul, IoT and Datacasting (2020)

Last year the authors presented a paper on full backward compatible ATSC 3.0 in-band backhaul for SingleFrequency-Network (SFN) using Layered-Division-Multiplexing (LDM) [1]. A complete in-band approach that provides backhaul for both robust mobile and high-data-rate fixed services was proposed. This paper continues the study with detailed analysis of the backhaul issues and implementation considerations. The field measurement results that support the viability of the inband backhaul system implementation using full-duplex transmission are presented. A full duplex Inter-Tower Communication (ITC) System - a scalable and re-configurable wireless network for SFN broadcasting, in-band inter-tower communications, and IoT/datacasting applications, is proposed. The ITC network uses LDM transmission to carry STL data alongside broadcast data intended for public reception. It offers the possibility of delivering backhaul data for future applications over the DTV infrastructure, such as IoT and connected vehicles. It is one enabling technology to achieve convergence of broadcast services with broadband and other wireless services.
Chapter 2. Forecasting Public Library E-content Costs (2015)

In chapter 2 of Library Technology Reports (vol. 51, no. 8), “E-Content in Libraries: Marketplace Perspectives,” Joseph Sanchez delves into how publishers’ shift toward digital formats will affect public library budgets. He shares the forecasting methods and findings for the Mesa County Public Library in Colorado.
Chemically tailored molecular surface modifiers for efficient and stable perovskite photovoltaics (2021)

Abstract Perovskite solar cells (PSCs) have attracted intense attention based on their high power conversion efficiency and low production cost. However, due to the polycrystalline nature and the intrinsic hydrophilicity of the metal halide perovskite moieties, the photovoltaic performance of PSCs is largely limited by defects within the polycrystalline perovskites and the sensitivity to moisture. In this perspective, we focus on the chemically tailored interface materials to passivate the defects and improve the moisture stability of PSCs. First, we provide a brief overview of various molecular interface modifiers. Thereafter we provide examples from our recent work on organic ammonium halide‐based passivation materials as representatives to illustrate the design strategies and the modification effects. In the end, we shed light on the future development of organic ammonium halides for applications in PSCs.
High crystalline-quality III-V layer transfer onto Si substrate (2008)

In this study, an approach combining ion cutting and selective chemical etch for the transfer of high crystalline-quality III-V layers on SiO2∕Si substrate has been investigated. This layer transfer scheme takes advantage of the ion-cutting process by conserving III-V substrates for reuse and simultaneously improving the transferred layer quality and surface condition without using chemical and mechanical polishing. The relocation of the ion-implantation damage maximum enables the transfer of relatively defect-free InP-based layers onto a Si substrate coated with an oxide layer and results in structures ready for further optoelectronic device fabrication or epitaxial growth.
Flow artifact reduction in MRI: A review of the roles of gradient moment nulling and spatial presaturation (1990)

In the past, flow artifacts and inconsistent depiction of vascular anatomy have represented significant problems in clinical MRI. These difficulties are now generally well addressed by the techniques of gradient moment nulling and spatial presaturation. Gradient moment nulling (GMN) is an effective method for eliminating flow artifacts in gradient echo images, while presaturation is more applicable to the same task in spin echo acquisitions. The GMN technique also has useful applications in spin echo imaging such as combating the effects of tissue and CSF motion in long TE sequences. In contrast to presaturation, however, GMN is not suitable for suppressing artifacts due to pulsatile blood flow in spin echo images.
Application of Electrochemical Treatment Technology of Produced Water of a Heavy Oil Field, via Boron Doped Diamond BDD Electrode (2016)

Abstract Electrochemical technologies are a promising alternative for the Oil Industry, for the treatment of formation water containing organic and inorganic contaminants. The main advantages of these technologies include environmental compatibility, versatility, energy efficiency, health &amp; safety and selectivity. However, the effectiveness of the electrochemical approaches depends significantly on the electrode material and the cell parameters. Recently, BDD electrodes have shown a growing interest due to their unique ultra-wide electrochemical window with highest O2 and H2 over-potentials. The current approach based on the application of boron doped diamond (BDD) electrode to treat electrochemically production water (PW) coming from a heavy oil field, was investigated in one-compartment electrolytic batch cell. Formation water is increasing more and more with the depletion of pressure and the age of many oil and gas fields. This formation water is characterized by high initial chemical oxygen demand (COD) due to their high level of organic content. Proper elimination of the high COD content from PW to be re-usable water streams for beneficial purposes such as irrigation water or correct disposal is becoming increasingly important for an environmental and human health in the Oil Industry. The influence of primary settling treatment step and several operating parameters such as applied current density, supporting electrolyte (NaCl or Na2SO4), agitation and temperature on the COD removal efficiency from PW were investigated and the corresponding energy consumption value was also evaluated. The estimated COD removal efficiency was achieved with and without settling step between 90 and 100 % within treatment time of 5h - 7h by using applied current in the range of 5 - 12.5 mA/cm2, but the minimum absolute value of COD for the resulting water with and without settling step was achieved to be less than 0.09 mg/l and 75 mg/l, respectively by adding 3.5 g/l NaCl. However, the energy requirement for high removal efficiency without adding NaCl was 2.5 more than with NaCl into PW. Adding NaCl into PW decreases the energy consumption and increases the oxidation efficiency by promoting the electro-generation of active chlorine species in addition to hydroxyl radical. On the other hand, only 67 % removal efficiency of COD was achieved by adding 5.1 g/l Na2SO4 into PW which affect negatively the COD removal efficiency compared to PW without any supporting electrolyte. The integration of electrochemical treatment step based on BDD electrodes after settling primary step, which is commonly used in industry, as a novel secondary treatment step will create a hybrid stable electrochemical system combining different electrochemical removal mechanism by BDD electrode as anode and cathode such as electro-oxidation, - reduction [1], -flotation, - coagulation and -disinfection simultaneously.
Implementation and evaluation of a 2400 bit/s mixed excitation LPC vocoder (1993)

The authors present an LPC (linear predictive coding) vocoder model with four features: mixed pulse and noise excitation, periodic or aperiodic pulses, pulse dispersion filter, and adaptive spectral enhancement. A 2400-bit/s speech coder based on this model has been implemented, as well as a 4800-bit/s coder which also includes Fourier series spectral information. Formal subjective test results show that this 2400-bit/s vocoder performs better than the government standard at the same bit rate, for both clean and noisy input speech. The quality of this coder approaches that of the higher-rate CELP (code-excited linear prediction) standard. The addition of Fourier magnitudes to the 4800-bit/s coder provides significant improvement, but both the bit rate and the computational requirements of the 4800-bit/s coder are much higher than for the 2400-bit/s vocoder. Therefore, this 4800-bit/s coder may not be as useful, but its performance does serve as a target for possible improvements to the parametric model.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Training in ureteroscopy: a critical appraisal of the literature (2011)

The aim of the present review was to study factors influencing training and the maintenance of skills in performing ureteroscopy (URS). We searched on the following keywords in the Medline, Embase and Cochrane databases: renal or ureteric stone; ureteroscopy; endourology; educational; training; learning curve; expertise; skill; residency; practice; simulator; and robotics. We have defined, when possible, levels and grades of evidence, based on 2009 recommendations of the Oxford Centre for Evidence-Based Medicine. We found that technological advancement and surgeon experience is a predictive factor for success or complications of URS. Experience may be related to special endourology training, time passed after basic training and the number of procedures performed. Studies suggest that a resident must perform a certain amount of cases to gain proficiency with URS, but there is still a need for well designed studies for the learning curve of URS to be accurately defined. Training models may be useful for training in URS and stone disintegration. Stone centres that provide all the endoscopic treatment options seem to provide the best conditions to ensure a sufficient volume of patients required. Defining minimum requirements for training in URS and for maintaining certification is a major challenge, as is defining the learning curve in URS. Careful curriculum design in high-volume stone centres may be the key to optimizing URS training.
STABILITY OF CHARGED ATOMIC CLUSTERS (2007)

Advances achieved during recent years in model and ab initio descriptions of fission of atomic clusters are reviewed. We focus on developments in ab initio treatment of the electronic subsystem within the jellium background model, as well as on applications of potential energy surface analysis to determining the characteristics of the fission process. We reiterate the main results obtained with the implementation of the Hartree-Fock and local density schemes for the two-center deformed jellium model.
Spraying Model PAHs on a Charged TiO2 Surface for High-Efficiency Degradation (2020)

The degradation of four model PAH compounds was studied by spraying from a micrometer-sized, grounded nozzle a solution of the PAH in a 1:1 solvent of toluene and isopropanol with a trace of water onto wetted TiO2 anatase nanoparticles, which were immobilized on an etched stainless-steel support charged at +2 kV. Rubrene was chosen because of its established degradation pathways, and 1-methylpyrene, 2-methylnapththalene, and bis(pyren-1-yl)ethane were chosen because of their molecular structure, containing aromatic islands with short aliphatic groups, representative of a thermally and catalytically processed heavy feed stream. The fractional reaction yield was measured using different support materials and by applying different external voltages to the metal substrate. The optimized method yielding 75% degradation was applied to the other three PAHs, resulting in higher-mass degradation products, apparently formed via radical polymerization.
Malignant disease and tracheobronchial epithelial multinucleation (1976)

Multinucleation of noncancerous ciliated tracheobronchial epithelial cells seen in smears from 412 patients suffering from malignant tumors originating from a wide variety of organs was found to be 2.03 times more frequent than in a control group without prediagnosed malignant disease, matched by age (decades), sex, and smoking habit (p less than 0.0005). Multinucleation involving at least 3% of cells was seen four times more frequently in patients with invasive tumors without known metastases than in controls. Excessive smoking habit in control females as well as site of origin and stage of tumor influenced statistical significance, otherwise unaffected by age, sex, and smoking habit in males. A prospective study is being planned in which incidence and degree of tracheobronchial epithelial multinucleation will be used in conjunction with biochemical tests for the diagnosis of occult cancer.
Getting an energy audit for my house (2006)

An energy auditor in Hyderabad, Andhra Pradesh, carries out an electricity consumption audit on his premises and finds out where he can easily save money
Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted\n Multi-User MISO Systems (2022)

We consider a multi-user multiple-input single-output (MISO) communications\nsystem which is assisted by a hybrid active-passive reconfigurable intelligent\nsurface (RIS). Unlike conventional passive RISs, hybrid RIS is equipped with a\nfew active elements with the ability to reflect and amplify incident signals to\nsignificantly improve the system performance. Towards a fairness-oriented\ndesign, we maximize the minimum rate among all users through jointly optimizing\nthe transmit beamforming vectors and RIS reflecting/amplifying coefficients.\nCombining tools from block coordinate ascent and successive convex\napproximation, the challenging nonconvex problem is efficiently solved by a\nlow-complexity iterative algorithm. The numerical results show that a hybrid\nRIS with 4 active elements out of a total of 50 elements with a power budget of\n-1 dBm offers an improvement of up to 80% to the considered system, while that\nachieved by a fully passive RIS is only 27%.\n
RoutedFusion: Learning Real-Time Depth Map Fusion (2020)

The efficient fusion of depth maps is a key part of most state-of-the-art 3D reconstruction methods. Besides requiring high accuracy, these depth fusion methods need to be scalable and real-time capable. To this end, we present a novel real-time capable machine learning-based method for depth map fusion. Similar to the seminal depth map fusion approach by Curless and Levoy, we only update a local group of voxels to ensure real-time capability. Instead of a simple linear fusion of depth information, we propose a neural network that predicts non-linear updates to better account for typical fusion errors. Our network is composed of a 2D depth routing network and a 3D depth fusion network which efficiently handle sensor-specific noise and outliers. This is especially useful for surface edges and thin objects for which the original approach suffers from thickening artifacts. Our method outperforms the traditional fusion approach and related learned approaches on both synthetic and real data. We demonstrate the performance of our method in reconstructing fine geometric details from noise and outlier contaminated data on various scenes.
Endoleak and thrombus characterization with dynamic elastography after endoleak embolization following aneurysm endovascular repair (2016)

Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and post-event exchanges. Whether an organizer or participant, make your event a Frontiers Event!
Seismic Responses of Two RC Buildings and One Wood Building Based on an Input Wave Field (2014)

A recently proposed three-dimensional (3D) linear method for examining soil-building interactions based on an input seismic wave field is, after some improvements, applied to estimate seismic building responses in the reclaimed zone of Tokyo Bay, where ground motions include a considerable amount of surface waves, thus reconfirming the effects of the method in a different situation. A seismic wave field involves seismic waves propagating in a 3D medium. The proposed method was developed with the goal of adequately treating seismic surface waves trapped by a (several-kilometers) deep underground structure in a soil-building interaction system. Two simulations were carried out. The first simulation successfully reproduced surface, downhole, and building accelerograms that were recorded at one borehole station during two medium-sized earthquakes. In the second simulation, seismic responses of a midrise RC model building and a wood model building were favorably calculated at the other borehole station for the 1923 Kanto earthquake. The building responses also were compared with those calculated by two standard response analyses, demonstrating the superiority of the proposed method.
To Join or Not to Join? (2016)

Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are not stored as single tables due to normalization. Thus, analysts often perform key-foreign key joins to obtain features from all base tables and apply a feature selection method, either explicitly or implicitly, with the aim of improving accuracy. In this work, we show that the features brought in by such joins can often be ignored without affecting ML accuracy significantly, i.e., we can "avoid joins safely." We identify the core technical issue that could cause accuracy to decrease in some cases and analyze this issue theoretically. Using simulations, we validate our analysis and measure the effects of various properties of normalized data on accuracy. We apply our analysis to design easy-to-understand decision rules to predict when it is safe to avoid joins in order to help analysts exploit this runtime-accuracy trade-off. Experiments with multiple real normalized datasets show that our rules are able to accurately predict when joins can be avoided safely, and in some cases, this led to significant reductions in the runtime of some popular feature selection methods.
Quantitative language features identify placebo responders in chronic back pain (2021)

Although placebo effect sizes in clinical trials of chronic pain treatments have been increasing, it remains unknown if characteristics of individuals' thoughts or previous experiences can reliably infer placebo pill responses. Research using language to investigate emotional and cognitive processes has recently gained momentum. Here, we quantified placebo responses in chronic back pain using more than 300 semantic and psycholinguistic features derived from patients' language. This speech content was collected in an exit interview as part of a clinical trial investigating placebo analgesia (62 patients, 42 treated; 20 not treated). Using a nested leave-one-out cross-validated approach, we distinguished placebo responders from nonresponders with 79% accuracy using language features alone; a subset of these features-semantic distances to identity and stigma and the number of achievement-related words-also explained 46% of the variance in placebo analgesia. Importantly, these language features were not due to generic treatment effects and were associated with patients' specific baseline psychological traits previously shown to be predictive of placebo including awareness and personality characteristics, explaining an additional 31% of the variance in placebo analgesia beyond that of personality. Initial interpretation of the features suggests that placebo responders differed in how they talked about negative emotions and the extent that they expressed awareness to various aspects of their experiences; differences were also seen in time spent talking about leisure activities. These results indicate that patients' language is sufficient to identify a placebo response and implie that specific speech features may be predictive of responders' previous treatment.
Dispersion-compensated 333-km 10-Gb/s transmission using mid-span spectral inversion in an injection-locked InGaAsP V-groove laser (1994)

We have demonstrated a 1.5-μm, 333-km, 10-Gb/s transmission system in conventional 1.3-μm zero-dispersion-wavelength single-mode fiber, using mid-span spectral inversion In a multi-mode semiconductor laser. The inverted spectrum was generated via cavity-enhanced highly-nondegenerate four-wave mixing, for which the resonant gain in the injection-locked V-groove laser yields higher conversion efficiencies relative to those of travelling-wave amplifiers. The bit-rate×distance product of 3330 Gb-km/s is more than an order of magnitude better than the best previous result employing a semiconductor conjugator.
The design and evaluation of selection techniques for 3D volumetric displays (2006)

Volumetric displays, which display imagery in true 3D space, are a promising platform for the display and manipulation of 3D data. To fully leverage their capabilities, appropriate user interfaces and interaction techniques must be designed. In this paper, we explore 3D selection techniques for volumetric displays. In a first experiment, we find a ray cursor to be superior to a 3D point cursor in a single target environment. To address the difficulties associated with dense target environments we design four new ray cursor techniques which provide disambiguation mechanisms for multiple intersected targets. Our techniques showed varied success in a second, dense target experiment. One of the new techniques, the depth ray, performed particularly well, significantly reducing movement time, error rate, and input device footprint in comparison to the 3D point cursor.