gebhart/patrepeval huggingface dataset:
Influence of atmospheric and sea-surface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: a case study in Kaneohe Bay, Hawaii (2008)

Hyperspectral instruments provide the spectral detail necessary for extracting multiple layers of information from inherently complex coastal environments. We evaluate the performance of a semi-analytical optimization model for deriving bathymetry, benthic reflectance, and water optical properties using hyperspectral AVIRIS imagery of Kaneohe Bay, Hawaii. We examine the relative impacts on model performance using two different atmospheric correction algorithms and two different methods for reducing the effects of sunglint. We also examine the impact of varying view and illumination geometry, changing the default bottom reflectance, and using a kernel processing scheme to normalize water properties over small areas. Results indicate robust model performance for most model formulations, with the most significant impact on model output being generated by differences in the atmospheric and deglint algorithms used for preprocessing.
Coupling Influence Analysis on the Secondary Regulation Servo Loading System of Axial Plunger Pump/Motor (2010)

The mathematical model was presented for the servo loading system with secondary regulation. Control performance under the disturbance of hydraulic and mechanical coupling was simulated with MATLAB. Simulation reveals that increasing of load pressure, output torque and rotational speed may deteriorate control precision. Load pressure fluctuation causes more influence on torque control system than on speed control system, while torque fluctuation causes more influence on speed control system than speed fluctuation does on torque control system.
Content Delivery Network Interconnection (CDNI) Control Interface / Triggers (2016)

This document describes the part of the Content Delivery Network
Interconnection (CDNI) Control interface that allows a CDN to trigger
activity in an interconnected CDN that is configured to deliver
content on its behalf. The upstream CDN can use this mechanism to
request that the downstream CDN pre-position metadata or content or to
request that it invalidate or purge metadata or content. The upstream
CDN can monitor the status of activity that it has triggered in the
downstream CDN.
SARS-CoV-2 triggers inflammatory responses and cell death through caspase-8 activation (2020)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can lead to respiratory illness and multi-organ failure in critically ill patients. Although the virus-induced lung damage and inflammatory cytokine storm are believed to be directly associated with coronavirus disease 2019 (COVID-19) clinical manifestations, the underlying mechanisms of virus-triggered inflammatory responses are currently unknown. Here we report that SARS-CoV-2 infection activates caspase-8 to trigger cell apoptosis and inflammatory cytokine processing in the lung epithelial cells. The processed inflammatory cytokines are released through the virus-induced necroptosis pathway. Virus-induced apoptosis, necroptosis, and inflammation activation were also observed in the lung sections of SARS-CoV-2-infected HFH4-hACE2 transgenic mouse model, a valid model for studying SARS-CoV-2 pathogenesis. Furthermore, analysis of the postmortem lung sections of fatal COVID-19 patients revealed not only apoptosis and necroptosis but also massive inflammatory cell infiltration, necrotic cell debris, and pulmonary interstitial fibrosis, typical of immune pathogenesis in the lung. The SARS-CoV-2 infection triggered a dual mode of cell death pathways and caspase-8-dependent inflammatory responses may lead to the lung damage in the COVID-19 patients. These discoveries might assist the development of therapeutic strategies to treat COVID-19.
A Geographically Weighted Regression Model for Health Improvement: Insights from the Extension of Life Expectancy in China (2021)

Health improvement is an important social development goal for every country. By using a geographical weighted regression (GWR) model on the 5th and 6th censuses data, this paper analyzes the spatially varied influencing factors of the change in life expectancy of residents in Chinses cities. The results indicate that: (1) The initial level of life expectancy may have a negative correlation with its increase, indicating that life expectancy in different areas may eventually converge to a higher level; moreover, the degree of convergence of life expectancy in cities with different economic development levels is variant. (2) Results of geographically weighted regression model demonstrate significant spatial heterogeneity in the effects of the level of economic development, medical conditions, demographic structure, and natural environment on health improvement. Natural conditions, such as topography, dictate the change in life expectancy in most cities in the middle eastern region of China. Change of educational level is the leading factor in the vast western region while the change in birth rate is the most critical in Xinjiang. Thus, local-based strategies are critical for solving health problems, especially with a focus on promoting health conditions in middle-income and low-income areas.
Overexpression of p16<sup>INK4A</sup> in liquid‐based specimens (SurePath™) as marker of cervical dysplasia and neoplasia (2002)

Human papillomavirus (HPV) is recognized as a causal agent for cervical carcinomas. Assimilation of HPV oncogenes E6 and E7 into the host DNA promotes upregulation of cyclin dependent kinase inhibitor (CDKI) p16(INK4A), detectable by monoclonal antibody in the developing cervical cancer cells. The aim of this study was to 1) develop a protocol for p16(INK4A) immunocytochemical staining on SurePath preparations, and 2) determine its utility as an HPV marker on a spectrum of cervical reactive and neoplastic lesions. Seventy-two specimens consisting of 28 nonneoplastic/nondysplastic cases (NN), one reactive glandular cells (RGC), 27 low-grade squamous intraepithelial lesions (LSIL), 10 high-grade squamous intraepithelial lesions (HSIL), one squamous cell carcinoma (SCCA), four atypical glandular cells (AGUS), and two adenocarcinomas (ADCA) were reprepped by SurePath and antibody to p16(INK4A) applied at 1:100 dilution using the Dako Envision + System on the Dako Autostainer. Expression of p16(INK4A) within the nucleus principally and cytoplasm of at least 10-15 cells was considered positive. All initial Papanicolaou-stained discrepant cases (p16(INK4A) positivity of NN and RGC cases and lack of reactivity in LSIL, HSIL, and AGUS) were reviewed. Nine of ten (90%) HSIL, one (100%) SCCA, 21/27 (78%) LSIL, and some reactive and inflammatory specimens demonstrated the presence of p16(INK4A). Reevaluation of discrepant cases revealed that several were underinterpreted (four NN were LSIL, one RGC was AGUS) or overinterpreted (one LSIL was NN). Following reassessment, false-positive staining was present in only 1/25 (1.4%) NN. Six of 30 (20%) LSIL lacked p16(INK4A) positivity. One of 10 (10%) HSIL had no staining. Two of four AGUS did not react with p16(INK4A) antibody. Both SCCA (1) and ADCA (2) had positive expression. This study confirms the intimate relationship between p16(INK4A) and HPV cytopathic effect. The p16(INK4A) immunocytochemical stain can be applied to liquid-based cervical preparations. This technique offers a more objective approach to deciphering "gray areas" of gynecologic cytopathology.
Restoration of useful hearing after microvascular decompression of the cochlear nerve. (1993)

This report describes a patient with sudden sensorineural hearing loss who was found to have a megadolichoectasia vertebrobasilar system that appeared to be causing compression of the ipsilateral facial and vestibulocochlear nerves. The patient was treated conservatively for 4 months, during which time no hearing returned. He then underwent microvascular decompression of the affected nerves. At surgery, marked compression of the cranial nerves VII-VIII complex and the pons was observed. Postoperatively, the patient experienced a gradual return of useful hearing. We suggest that vascular compression may be a rare, but treatable, cause of sensorineural hearing loss.
Adaptive Multi-Path Routing with Guaranteed Target-Delivery Ratio of Critical Events in Wireless Sensor Networks (2010)

Wireless sensor networks are subject to node and link failures for a variety of reasons. This paper proposes a k-disjoint-path routing algorithm that varies the number of disjoint paths (k) in order to meet a target-delivery ratio of critical events and to reduce energy consumption. The proposed algorithm sends packets to the base station through a single path without the occurrence of critical events, however, it sends packets to the base station through k disjoint paths (k > 1) under the occurrence of critical events, where k is computed from a well-defined fault model. The proposed algorithm detects the occurrence of critical events by monitoring collected data patterns. The simulation results reveal that the proposed algorithm is more resilient to random node failure and patterned failure than other routing algorithms, and it also decreases energy consumption much more than the multi-path and path-repair algorithms.
Combining software and hardware monitoring for improved power and performance tuning (2003)

By anticipating when resources will be idle, it is possible to reconfigure the hardware to reduce power consumption without significantly reducing performance. This requires predicting what the resource requirements will be for an application. In the past, researchers have taken one of two approaches: design hardware monitors that can measure recent performance, or profile the application to determine the most likely behavior for each block of code. This paper explores a third option which is to combine hardware monitoring with software profiling to achieve lower power utilization than either method alone. We demonstrate the potential for this approach in two ways. First, we compare hardware monitoring and software profiling of IPC for code blocks and show that they capture different information. By combining them, we can control issue width and ALU usage more effectively to save more power. Second, we show that anticipating stalls due to critical load misses in the L2 cache can enable fetch halting. Again, hardware monitoring and software profiling must be used together to effectively predict misses and criticality of loads.
A microfluidic technique for generating monodisperse submicron-sized drops (2012)

We present a route for producing monodisperse micro and nanodrops that is based on a liquid–gas phase transition occurring within a microfluidic device. A gas which is soluble in water is mixed with an insoluble one and injected into an aqueous surfactant solution, using a microfluidic device that produces monodisperse bubbles. As the soluble gas diffuses out of the bubbles, they shrink and the remaining insoluble gas condenses into drops. Their radius can be tuned over a wide range by changing the initial gas mixing ratio.
Evaluating 3D‐Printed Biomaterials as Scaffolds for Vascularized Bone Tissue Engineering (2014)

There is an unmet need for a consistent set of tools for the evaluation of 3D-printed constructs. A toolbox developed to design, characterize, and evaluate 3D-printed poly(propylene fumarate) scaffolds is proposed for vascularized engineered tissues. This toolbox combines modular design and non-destructive fabricated design evaluation, evaluates biocompatibility and mechanical properties, and models angiogenesis.
Spatial topic modeling in online social media for location recommendation (2013)

Mobile networks enable users to post on social media services (e.g., Twitter) from anywhere. The activities of mobile users involve three major entities: user, post, and location. The interaction of these entities is the key to answer questions such as who will post a message where and on what topic? In this paper, we address the problem of profiling mobile users by modeling their activities, i.e., we explore topic modeling considering the spatial and textual aspects of user posts, and predict future user locations. We propose the first ST (Spatial Topic) model to capture the correlation between users' movements and between user interests and the function of locations. We employ the sparse coding technique which greatly speeds up the learning process. We perform experiments on two real life data sets from Twitter and Yelp. Through comprehensive experiments, we demonstrate that our proposed model consistently improves the average [email protected],5,10,15,20 for location recommendation by at least 50% (Twitter) and 300% (Yelp) against existing state-of-the-art recommendation algorithms and geographical topic models.
Intramolecular arylations of soft enolates catalyzed by zerovalent palladium (1988)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIntramolecular arylations of soft enolates catalyzed by zerovalent palladiumMarco A. Ciufolini, Hong Bo Qi, and Margaret E. BrowneCite this: J. Org. Chem. 1988, 53, 17, 4149–4151Publication Date (Print):August 1, 1988Publication History Published online1 May 2002Published inissue 1 August 1988https://pubs.acs.org/doi/10.1021/jo00252a064https://doi.org/10.1021/jo00252a064research-articleACS PublicationsRequest reuse permissionsArticle Views1556Altmetric-Citations93LEARN 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 (1)»Supporting Information Supporting Information Get e-Alerts
Evolving space-filling curves to distribute radial basis functions over an input space (1994)

An evolutionary neural network training algorithm is proposed for radial basis function (RBF) networks. The locations of basis function centers are not directly encoded in a genetic string, but are governed by space-filling curves whose parameters evolve genetically. This encoding causes each group of codetermined basis functions to evolve to fit a region of the input space. A network produced from this encoding is evaluated by training its output connections only. Networks produced by this evolutionary algorithm appear to have better generalization performance on the Mackey-Glass time series than corresponding networks whose centers are determined by k-means clustering.
High-Resolution Electronic Intermediate System for Motion-Picture Film (1991)

The production of motion-picture special effects can be a costly and time-consuming step in the production of motion-picture films. Although several electronic video systems have been proposed and demonstrated for use in special-effects generation, these lower-resolution video systems, including HDTV, do not operate transparently between film input and film output. They introduce a number of disturbing image artifacts to the final film element. This article defines the system requirements for a high-resolution digital image manipulation system that can be used to produce high-quality motion-picture special effects.
Solid Solution Phases in the Olivine-Type LiMnPO[sub 4]/MnPO[sub 4] System (2009)

Nonstoichiometry is reported in the system. As lithium is removed from crystalline by chemical or electrochemical methods, the resulting two-phase mixture consists of stoichiometric and a delithiated phase, , whose lattice parameters depend on the global extent of delithiation and on the crystalline domain size of the delithiated phase. This behavior is reproduced during electrochemical insertion of lithium. Again, no evidence for nonstoichiometry was found in the vicinity of . Attempts to create single-phase solid solutions by heating mixtures of the two phases failed due to the thermal instability of .
Evaluation of SVM Binary Classification with Nonparametric Stochastic Simulations (2001)

The quality of Support Vector Machines binary classification of spatial environmental data is evaluated with geostatistical nonparametrtic conditional stochastic simulations. Equally probable realizations are generated and compared with SVM. Case study is based on the classification of porosity data. Results obtained confirm the efficiency of the SVM binary classification of spatial data
Agreement in assessing optic discs with a digital stereoscopic optic disc camera (Discam) and Heidelberg retina tomograph (2002)

There is almost perfect intraobserver agreement in each system. The interobserver agreement was better with the HRT than the Discam. There was substantial variation in ACDR and RCDR agreement between the two systems measured by the two observers. The variation in ACDR and RCDR measurements between the two systems may be too large for interchangeable use in a clinical setting.
An underground system and a few developments (1912)

In October, 1908, the Portland Railway, Light & Power Co., after serious consideration of the relative merits of the alternating current and direct current underground distribution, adopted plans for the construction of a complete system of underground conduits and cables within certain limits, which included the principal business section of the city of Portland. The Edison three-wire, 120/240-volt system was adopted, with the exception of a 600-volt distribution system in some sections of the city where the company had at that time heavy 600-volt customers, for both power and light throughout.
Gene Expression within Cell‐Sized Lipid Vesicles (2003)

Functional protein synthesis was observed in cell-sized lipid vesicles following encapsulation of a gene-expression system. Expression of rsGFP (red-shifted green fluorescent protein) within individual vesicles was observed by fluorescence microscopy. Interestingly, at the early stage of the reaction, the expression efficiency inside the vesicle was remarkably higher than that in the solution outside. The synthesized rsGFP in individual vesicles is safe from attack by proteinase K added to the external aqueous solution. Studies on cell-sized vesicles expressing protein should contribute to a fundamental understanding of certain aspects of living systems and will be useful for practical applications, such as the construction of microreactors.
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator (2019)

Federated Learning is a new distributed learning mechanism which allows model training on a large corpus of decentralized data owned by different data providers, without sharing or leakage of raw data. According to the characteristics of data dis-tribution, it could be usually classified into three categories: horizontal federated learning, vertical federated learning, and federated transfer learning. In this paper we present a solution for parallel dis-tributed logistic regression for vertical federated learning. As compared with existing works, the role of third-party coordinator is removed in our proposed solution. The system is built on the pa-rameter server architecture and aims to speed up the model training via utilizing a cluster of servers in case of large volume of training data. We also evaluate the performance of the parallel distributed model training and the experimental results show the great scalability of the system.
A double-blind, randomized study on platelet aggregation in patients treated with a daily dose of 150 or 75 mg of clopidogrel for 30 days (2007)

Administration of a 150 mg oral maintenance dose of clopidogrel results in more intense inhibition of platelet aggregation than administration of the currently recommended 75 mg maintenance dose.
A survey of machine translation: its history, current status, and future prospects (1985)

Elements of the history, state of the art, and probable future of Machine Translation (MT) are discussed. The treatment is largely tutorial, based on the assumption that this audience is, for the most part, ignorant of matters pertaining to translation in general, and MT in particular. The paper covers some of the major MT R&D groups, the general techniques they employ(ed), and the roles they play(ed) in the development of the field. The conclusions concern the seeming permanence of the translation problem, and potential re-integration of MT with mainstream Computational Linguistics.
Role of γδ T lymphocytes in the development of Behc¸et's disease (1997)

Phenotypic and functional properties of gammadelta T cells, which play an important role in mucocutaneous immunity, were examined to elucidate whether immunological abnormality in Behcet's disease may be related to a specific T cell population. We found that CD45RA+ Vgamma9+ Vdelta2+ gammadelta T cells, which constitute a minor population of gammadelta T cells in healthy individuals, were increased in number in Behçet's disease irrespective of disease activity. This CD45RA+ subset of gammadelta T cells in the active, but not inactive, phase of this disease expressed IL-2Rbeta and HLA-DR, suggesting that they are activated in vivo in active Behçet's disease. In addition, the CD45RA+ gammadelta T cells produced extreme amounts of tumour necrosis factor and contained perforin granules. These data indicate that a phenotypically distinct subset of gammadelta T cells, CD45RA+ CD45RO- Vgamma9+ Vdelta2+, may contribute to immunological abnormalities which may lead to complexity of pathophysiology in Behçet's disease.
Mood Cloud : A Real-Time Music Mood Visualization Tool (2008)

Abstract. We present Mood Cloud, an application of automatic music mood prediction from audio content. While playing a song, we visualize in real-time the prediction probabilities of five mood categories: “happy”, “sad”, “aggressive”, “relax ” and “party”. Each mood is represented by a colored bar graph with text, dynamically resized according to the mood probability. The resulting application is a dynamic visualization of the mood predictions, demonstrating the performance of current state of the art techniques in Music Information Retrieval and especially in automatic mood classification. 1
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data (2019)

Corner cases are the main bottlenecks when applying Artificial Intelligence (AI) systems to safety-critical applications. An AI system should be intelligent enough to detect such situations so that system developers can prepare for subsequent planning. In this paper, we propose semi-supervised anomaly detection considering the imbalance of normal situations: In particular, driving data consists of multiple normal situations (e.g., right turn, going straight), some of which (e.g., U-turn) could be as rare as anomalous ones. Existing machine learning based anomaly detection approaches do not fare sufficiently well when applied to such imbalanced data. In this paper, we present a novel multi-task learning (LSTM autoencoder and predictor) based approach that leverages domain-knowledge (maneuver labels) for anomaly detection in driving data. We evaluate the proposed approach both quantitatively and qualitatively on 150 hours of real-world driving data and show improved performance over baseline/existing approaches.