gebhart/patrepeval huggingface dataset:
Entity disambiguation with hierarchical topic models (2011)

Disambiguating entity references by annotating them with unique ids from a catalog is a critical step in the enrichment of unstructured content. In this paper, we show that topic models, such as Latent Dirichlet Allocation (LDA) and its hierarchical variants, form a natural class of models for learning accurate entity disambiguation models from crowd-sourced knowledge bases such as Wikipedia. Our main contribution is a semi-supervised hierarchical model called Wikipedia-based Pachinko Allocation Model} (WPAM) that exploits: (1) All words in the Wikipedia corpus to learn word-entity associations (unlike existing approaches that only use words in a small fixed window around annotated entity references in Wikipedia pages), (2) Wikipedia annotations to appropriately bias the assignment of entity labels to annotated (and co-occurring unannotated) words during model learning, and (3) Wikipedia's category hierarchy to capture co-occurrence patterns among entities. We also propose a scheme for pruning spurious nodes from Wikipedia's crowd-sourced category hierarchy. In our experiments with multiple real-life datasets, we show that WPAM outperforms state-of-the-art baselines by as much as 16% in terms of disambiguation accuracy.
Design of a Laboratory Sampling System for Brake Wear Particle Measurements (2022)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Brake wear is one of the dominant sources of traffic-related particulate matter emissions and is associated with various adverse environmental and health hazards. To address this issue, the UNECE mandated the Particle Measurement Program to develop a harmonized methodology for sampling and measuring brake wear particles with a full-flow sampling tunnel on a brake dynamometer. Here we present the design of a novel, fully PMP compliant sampling tunnel. The dimensions and general layout of the tunnel are based on minimization of super-micron particle losses and consideration of space limitations in brake-dynamometer setups as well as the need for efficient utilization of the test facilities (reduced testing times). Numerical calculations suggested that the critical section of the system is the sampling train from the sample probes to the instrumentation inlet/filter holder. An optimal sampling train flow of ~10 l/min was identified and formed the basis for the design of a dedicated PM sampler. The developed sampling tunnel was subsequently used to test a reference brake system on a fully electric brake dynamometer. Dedicated tests verified that the produced brake-wear particles are properly mixed and the flow profile stabilized at the sampling plane. Measured PM and PN emissions were found to agree within ±20 % to levels determined in two previous campaigns where the same brake system was tested with the same instrumentation. Considering the vastly different enclosure and sampling tunnel designs employed at these test facilities, the good agreement observed further verifies the findings of the numerical analysis indicating the sampling train as the most critical section in brake-wear particle measurements.&lt;/div&gt;&lt;/div&gt;
Analysis, Estimation, and Control for Perturbed and Singular Systems and for Systems Subject to Discrete Events (1988)

30, 1990. The basic scope of this program is the analysis, estimation, and control of complex systems with particular emphasis on (a) multiresolution modeling and signal processing; (b) the investigation of theoretical questions related to singular systems; and (c) the analysis of complex systems subject to or characterized by sequences of discrete events.These three topics are described in the next three sections of this report.
Testing the therapeutic effects of transcranial direct current stimulation (tDCS) in semantic dementia: A double blind, sham controlled, randomized clinical trial (2019)

Abstract Background Semantic dementia is a neurodegenerative disease that primarily affects the left anterior temporal lobe, resulting in a gradual loss of conceptual knowledge. There is currently no validated treatment. Transcranial stimulation has provided evidence for long-lasting language effects presumably linked to stimulation-induced neuroplasticity in post-stroke aphasia. However, studies evaluating its effects in neurodegenerative diseases as semantic dementia are still rare and evidence from double blind prospective therapeutic trials is required. Objective The primary objective of the present clinical trial (STIM-SD) is to evaluate the therapeutic efficacy of a multiday transcranial direct current stimulation (tDCS) regime on language impairment in patients with semantic dementia. The study also explores the time course of potential tDCS-driven improvements and uses imaging biomarkers which could reflect stimulation-induced neuroplasticity. Methods Double-blind sham-controlled randomized study using tDCS applied daily during 10 days, and language/semantic and imaging assessments at 4 time-points: baseline, 3 days, 2 weeks and 4 months after the 10 stimulation sessions. Language/semantic assessments will be applied at the 4 time-points. Fluorodeoxyglucose Positron Emission tomography (FDG-PET), resting-state functional Magnetic Resonance Imaging (rs-fMRI), T1-weighted images and white matter diffusion tensor imaging (DTI) will be applied at baseline and the two-weeks’ time-point. According to the principle of inter-hemispheric inhibition between left (language-related) and right homotopic regions we will use two stimulation modalities: left-anodal and right-cathodal tDCS over the anterior temporal lobes. Accordingly, the patient population (n=60) will be subdivided into 3 subgroups: left-anodal tDCS (n=20), right-cathodal tDCS (n=20) and sham tDCS (n=20). The stimulation duration will be sustained for 20 minutes at an intensity of 1.59 mA. It will be delivered through 25cm2 round stimulation electrodes (current density of 0.06 mA/cm2) placed over the left and right anterior temporal lobes for anodal and cathodal stimulation, respectively. A group of age, gender and education-matched healthy participants (n=20) will also be recruited and tested to provide normative values for the language/semantic tasks and imaging measures. Discussion The study aims at assessing the efficacy of tDCS for language/semantic disorders in semantic dementia. A potential treatment would be easily applicable, inexpensive, and renewable when therapeutic effects disappear due to disease progression.
Towards table-top time-resolved extreme ultraviolet Fourier holography (2011)

We present the first results obtained with a time-resolved high resolution Fourier holographic imaging system realized with a compact table-top extreme ultraviolet laser.
Table S4 from CRISPR Editing of Mutant IDH1 R132H Induces a CpG Methylation-Low State in Patient-Derived Glioma Models of G-CIMP (2023)

&lt;p&gt;Oligonucleotides Used in Study&lt;/p&gt;
ARM: XSACRCFRCWRHI (2018)

xsacr
Diode pumped, single-mode, narrow linewidth tunable vertical surface emitting organic laser (VECSOL) controlled by a chirped volume Bragg grating (Conference Presentation) (2020)

We report on the realization of a narrow-linewidth diode-pumped solution-processed solid-sate vertically emitting surface organic laser (VECSOL) using a Volume Bragg Grating as an output coupler. The diode pumped VECSOL used a commercial dye molecule (DCM) embedded in a polymer matrix leading to a laser emission at 610 nm. The ultimate linewidth achievable under that configuration as well as the broadening mechanisms have been investigated under different pumping conditions. An optimal laser linewidth of 40 MHz has been achieved for pump pulse duration of 50 ns.
High-Quality Fault Resiliency in Fat Trees (2019)

Coupling regular topologies with optimized routing algorithms is key in pushing the performance of interconnection networks of supercomputers. In this article, we present Dmodc, a fast deterministic routing algorithm for parallel generalized fat trees (PGFTs), which minimizes congestion risk even under massive network degradation caused by equipment failure. Dmodc computes forwarding tables with a closed-form arithmetic formula by relying on a fast preprocessing phase. This allows complete rerouting of networks with tens of thousands of nodes in less than a second. In turn, this greatly helps centralized fabric management react to faults with high-quality routing tables and has no impact on running applications in current and future very large scale high-performance computing clusters.
Open Review Process [From the Editor] (2017)

Presents the introductory editorial for this issue of the publication.
Bile Acid Malabsorption in Cystic Fibrosis With and Without Pancreatic Insufficiency (1984)

Serum conjugated cholic acid (CCA) and conjugated chenodeoxycholic acid (CCDCA) fasting levels were measured in 30 children with cystic fibrosis (CF) without liver involvement, and mean levels were not significantly different from control values. In seven children (four with partially corrected pancreatic insufficiency and three without pancreatic insufficiency) serum levels of both primary bile acids (BAs) were also measured after the ingestion of a standard liquid meal; the values were then compared with those for total and fractional fecal BA excretion. The CCA mean peak increase was significantly reduced in patients with pancreatic insufficiency (p less than 0.01), as well as in those without pancreatic insufficiency (p less than 0.05), as compared to controls. The CCDCA mean peak increase was reduced only in patients with pancreatic insufficiency (p less than 0.01). Fecal results confirmed serum data, showing a significantly increased excretion of cholic and deoxycholic acids in patients without pancreatic insufficiency as compared to controls (p less than 0.02), despite a similar total BA excretion. In patients with pancreatic insufficiency, total fecal BA levels were markedly increased compared to control values (p less than 0.001); the fecal percentage of chenodeoxycholic and lithocholic acids was greater than that recorded in patients without pancreatic insufficiency (p less than 0.05), in agreement with the different behaviour of serum CCDCA postprandial curves for the two groups of patients. The results are consistent with selective malabsorption of cholic acid in CF, independent of the presence of pancreatic insufficiency; they confirm the usefulness of serum BA postprandial determinations in measuring BA malabsorption.
Static and Dynamic Software Quality Metric Tools (1990)

Recently, alterations in dopamine signaling have been implicated in Huntington's disease. In this work, dopamine release and uptake was measured in striatal slices from the R6/2 transgenic mouse model of Huntington's disease using fast-scan cyclic voltammetry at carbon-fiber microelectrodes. Dopamine release in brain slices from 6-week-old R6/2 mice is substantially reduced (53% of wild type), while dopamine uptake is unaffected. In agreement with this, R6/2 mice injected with the dopamine uptake inhibitor cocaine exhibited a blunted motor activity response (54% of wild type). At 10 weeks of age, an even more dramatic motor activity decrease in response to cocaine injection (21% of wild type) was observed. Moreover, the pre-drug activity of 10-week-old R6/2 mice was significantly reduced (by 37%) compared with 6-week-old R6/2 mice. Striatal dopamine release decreased with age, indicating that progressive alterations in dopaminergic pathways may affect motor activity. The inhibition constants of cocaine and methamphetamine (METH) determined in brain slices differed little between genotype or age group, suggesting that the decreased responses to cocaine and METH arise from compromised dopamine release rather than differences in uptake or drug action. Collectively, these data demonstrate (i) a reduction in the ability of dopamine terminals to release dopamine and (ii) the importance of this attenuation of release on the motor symptoms of Huntington's disease.
Asymptotic Justification of Bandlimited Interpolation of Graph signals for Semi-Supervised Learning (2015)

Graph-based methods play an important role in unsupervised and semi-supervised learning tasks by taking into account the underlying geometry of the data set. In this paper, we consider a statistical setting for semi-supervised learning and provide a formal justification of the recently introduced framework of bandlimited interpolation of graph signals. Our analysis leads to the interpretation that, given enough labeled data, this method is very closely related to a constrained low density separation problem as the number of data points tends to infinity. We demonstrate the practical utility of our results through simple experiments.
Isolation and Localization ofN-Methylasparagine in Phycobiliproteins from the CyanobacteriumMastigocladus laminosus (1987)

The occurrence of post-translationally methylated asparagine residues in beta AP from Anabaena variabilis, Synechococcus PCC 6301 and Porphyridium cruentum has recently been reported (Klotz, A.V., Leary, J.A. & Glazer, A.N. (1986) J. Biol. Chem. 261, 15891-15894). We reinvestigated the amino-acid compositions of all phycobiliproteins from Mastigocladus laminosus. During total hydrolysis of beta AP, beta 16.2 and beta PC one mol methylamine per mol protein was released. These proteins were chemically and enzymatically fragmented and the sequences of the fragments containing the modified asparagine residue were determined by automated Edman degradation. Residues beta AP72, beta 16.2 72 and beta PC 72 were identified as N4-methylasparagine. This derivative of asparagine was also found at a homologous position in beta PE of Calothrix. In the x-ray structure model of C-phycocyanin (PC) the residue beta PC 72 points towards the chromophore beta 84, presumably having an effect on the spectroscopic characteristics of this light harvesting pigment protein complex.
Systematic Shape Optimization of Symmetric MIMO Antennas Using Characteristic Modes (2015)

We introduce a systematic approach to the shape optimization of compact, single-aperture MIMO antennas. Because the characteristic modes of a radiator represent its complete set of possible responses to an excitation, any port on the antenna must display the properties of a combination of one or more of these characteristic modes. By restricting our consideration to a class of symmetric antennas, the lowest order characteristic modes of a structure can be separated with practical decoupling networks, studied, and excited independently. We show that the quality factor of each characteristic mode effectively bounds the performance of any individual port excitation, and can be used to evaluate the fitness of the antenna for multiport excitation. Under this framework, we apply a genetic algorithm (GA) to synthesize low Q MIMO antennas while minimizing conductor area. Feed locations are specified on the optimized shape based on the weighted excitation strength of the desired modes, and a two-port MIMO antenna is implemented and measured, verifying the proposed theory.
Ultrastructural autoradiographic localization of exogenous arachidonic acid in cultured endothelial and smooth muscle cells. (1988)

The uptake and intracellular localization of exogenous arachidonic acid (AA) were investigated in cultured endothelial (EC) and smooth muscle cells (SMC) isolated from bovine aorta. The [14C]AA uptake was assessed biochemically and by light and electron microscopic autoradiography. The highest values of silver grain surface density were associated with the mitochondria, lysosomes, and the Golgi apparatus of the EC. The grain linear density was greater on the nuclear envelope than on plasmalemma. On SMC, the grain density was highest on lipid droplets whereas the linear densities of the nuclear envelope and plasmalemma were similar. The share of each subcellular compartment in the AA distribution was estimated as the percentage of the individual silver grain count out of the total cell-associated radioactivity. The results showed that cytoplasm (including endoplasmic reticulum, ribosomes, and small vesicles) made the main contribution followed by the nucleus and at lower values by other organelles. These subcompartments may represent the intracellular sites from which AA could be mobilized for prostanoid synthesis by EC and SMC.
Performance analysis of delay-constrained wireless energy harvesting communication networks under jamming attacks (2015)

In wireless energy harvesting communication networks, a user receives wireless energy released by an ambient or dedicated energy source, and uses that energy for delay constrained data transmission. However, such data transmission can be susceptible to a jamming attack from a nearby attacker also harvesting from the wireless energy source. In this paper, we consider such a scenario and present performance analysis. In particular, we develop an analytical model for the network based on a Markov chain to obtain various performance measures for the user including throughput and delay distribution. The performance evaluation shows some interesting results. For example, under the jamming attack, there is a maximum achievable throughput of the user. We also validate the analytical model using simulation.
Following a Robot using a Haptic Interface without Visual Feedback (2014)

Abstract — Search and rescue operations are often undertaken in smoke filled and noisy environments in which rescue teams must rely on haptic feedback for navigation and safe exit. In this paper, we discuss designing and evaluating a haptic interface to enable a human being to follow a robot through an environment with no-visibility. We first briefly analyse the task at hand and discuss the considerations that have led to our current interface design. The second part of the paper describes our testing procedure and the results of our first informal tests. Based on these results we discuss future improvements of our design. Keywords-human robot interaction; haptic interface; support for no-visibility/visually impaired I.
Release Practices for Mobile Apps -- What do Users and Developers Think? (2016)

Large software organizations such as Facebook or Netflix, who otherwise make daily or even hourly releases of their web applications using continuous delivery, have had to invest heavily into a customized release strategy for their mobile apps, because the vetting process of app stores introduces lag and uncertainty into the release process. Amidst these large, resourceful organizations, it is unknown how the average mobile app developer organizes her app's releases, even though an incorrect strategy might bring a premature app update to the market that drives away customers towards the heavy market competition. To understand the common release strategies used for mobile apps, the rationale behind them and their perceived impact on users, we performed two surveys with users and developers. We found that half of the developers have a clear strategy for their mobile app releases, since especially the more experienced developers believe that it affects user feedback. We also found that users are aware of new app updates, yet only half of the surveyed users enables automatic updating of apps. While the release date and frequency is not a decisive factor to install an app, users prefer to install apps that were updated more recently and less frequently. Our study suggests that an app's release strategy is a factor that affects the ongoing success of mobile apps.
On the performance of averaged optimal routing (2012)

Traffic uncertainty makes designing optimal routing protocols for many networks a difficult problem. A good way to capture uncertainty is via an uncertainty set - a collection of traffic matrices with associated probabilities of occurrence. Averaged optimal routing, where the performance metric is averaged over the potential traffic matrices, allows us to incorporate an uncertainty set into an optimization framework. We derive bounds on the performance of averaged optimal routing where the objective is to minimize maximum channel load, a commonly used metric. Furthermore, we provide examples of networks and uncertainty sets where the bounds are tight. These bounds can be used to quickly check whether averaged optimal routing is an effective routing protocol for a given network and uncertainty set. Numerical evaluations of the performance of the bounds for uncertainty sets drawn from random graphs are presented and some interesting trends are noted. Also, simulations performed on a cycle level on-chip network simulator demonstrate that averaged optimal routing outperforms general-purpose routing algorithms.
Reproducibility of functional network metrics and network structure: A comparison of task-related BOLD, resting ASL with BOLD contrast, and resting cerebral blood flow (2013)

Network analysis is an emerging approach to functional connectivity in which the brain is construed as a graph and its connectivity and information processing estimated by mathematical characterizations of graphs. There has been little to no work examining the reproducibility of network metrics derived from different types of functional magnetic resonance imaging (fMRI) data (e.g., resting vs. task related, or pulse sequences other than standard blood oxygen level dependent [BOLD] data) or of measures of network structure at levels other than summary statistics. Here, we take up these questions, comparing the reproducibility of graphs derived from resting arterial spin-labeling perfusion fMRI with those derived from BOLD scans collected while the participant was performing a task. We also examine the reproducibility of the anatomical connectivity implied by the graph by investigating test-retest consistency of the graphs' edges. We compare two measures of graph-edge consistency both within versus between subjects and across data types. We find a dissociation in the reproducibility of network metrics, with metrics from resting data most reproducible at lower frequencies and metrics from task-related data most reproducible at higher frequencies; that same dissociation is not recapitulated, however, in network structure, for which the task-related data are most consistent at all frequencies. Implications for the practice of network analysis are discussed.
Exercise Rehabilitation Programs for the Treatment of Claudication Pain (1995)

The optimal exercise program for improving claudication pain distances in patients with peripheral arterial disease uses intermittent walking to near-maximal pain during a program of at least 6 months. Such a program should be part of the standard medical care for patients with intermittent claudication.
NFV service dynamicity with a DevOps approach: Insights from a use-case realization (2017)

This experience paper describes the process of leveraging the NFV orchestration platform built in the EU FP7 project UNIFY to deploy a dynamic network service exemplified by an elastic router. Elasticity is realized by scaling dataplane resources as a function of traffic load. To achieve this, the service includes a custom scaling logic and monitoring capabilities. An automated monitoring framework not only triggers elastic scaling, but also a troubleshooting process which detects and analyzes anomalies, pro-actively aiding both dev and ops personnel. Such a DevOps-inspired approach enables a shorter update cycle to the running service. We highlight multiple learnings yielded throughout the prototype realization, focussing on the functional areas of service decomposition and scaling; programmable monitoring; and automated troubleshooting. Such practical insights will contribute to solving challenges such as agile deployment and efficient resource usage in future NFV platforms.