gebhart/patrepeval huggingface dataset:
Adaptive PID feedback control for the longitudinal dynamics of driver-assisted vehicles in mixed traffic (2016)

Vehicles equipped with varying levels of automation and connection are starting to share the road with conventional vehicles. This provides new opportunities to design and test systems to control the acceleration dynamics of those equipped vehicles in mixed traffic environment contexts, with the global aim to globally reduce traffic congestion and increase traffic safety. Recent work has been focusing on proposing solutions to this problem by applying modern control theory, such as optimal control, ℋ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control. However, such approaches tend to be computationally expensive or do not take into account the actuators limitations and the safety constraints. For this reason, as well as for the sake of simplicity, in this paper we investigate the design of classic PID controllers to control the acceleration of vehicles equipped with Automated Driving Systems. We consider that each vehicle updates its acceleration according to a car-following model with specific behavioural parameters, thereby accounting for the variability of drivers' behaviours, and we assume that the longitudinal acceleration dynamics of only a proportion of vehicles can be controlled. After linearising the system about its equilibrium state, we show that each vehicle speed to acceleration transfer function reduces to a second order system written as a function of the equilibrium state and the behavioural parameters of the vehicle. We validate this formulation in simulation considering PBRS acceleration inputs. Selecting the set point as the equilibrium speed, an adaptive PID controller is then derived for each vehicle, considering the behavioural parameters. We then discuss set point weighting to avoid propagation of measurement errors, integrator wind-up to consider limitations of the actuators and safety constraints, and tuning of the controllers. Simulations highlight that the designed controllers are able to remove traffic flow instabilities even with a low proportion of equipped vehicles in the traffic flow.
Speaker Diarization with LSTM (2017)

For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications. However, mirroring the rise of deep learning in various domains, neural network based audio embeddings, also known as d-vectors, have consistently demonstrated superior speaker verification performance. In this paper, we build on the success of d-vector based speaker verification systems to develop a new d-vector based approach to speaker diarization. Specifically, we combine LSTM-based d-vector audio embeddings with recent work in non-parametric clustering to obtain a state-of-the-art speaker diarization system. Our system is evaluated on three standard public datasets, suggesting that d-vector based diarization systems offer significant advantages over traditional i-vector based systems. We achieved a 12.0% diarization error rate on NIST SRE 2000 CALLHOME, while our model is trained with out-of-domain data from voice search logs.
LAMBERT: Layout-Aware language Modeling using BERT for information extraction. (2020)

In this paper we introduce a novel approach to the problem of understanding documents where the local semantics is influenced by non-trivial layout. Namely, we modify the Transformer architecture in a way that allows it to use the graphical features defined by the layout, without the need to re-learn the language semantics from scratch, thanks to starting the training process from a model pretrained on classical language modeling tasks.
Plasmonic optical antennas excited by resonant guided mode for SERS applications (2010)

We report a numerical study on the frequency property of a system composed of an optical antenna array placed on the surface of a dielectric grating. Such a periodic structure is designed for Raman spectroscopy application because of its advantages over the conventional rough-surface based surface enhanced Raman spectroscopy: the position of the high field intensity and the exact field magnitude is well controlled by the design, and the constructive interference from the elements placed in periodic array may form a collective resonance and provide a further enhancement to the field intensity. By integrating and weakly coupling the guided mode resonance (GMR) of a dielectric grating with optical nano-antennas made of plasmonic materials that are also field-enhancing devices, it provides a further enhanced local field around the antenna. We specifically studied the behavior of the device under oblique incidence, and show that multiple resonant peaks are observed in the spectrum. The application of the device in a Raman process is discussed in details.
DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods (2019)

We present the first open release of the DCA++ project, a high-performance research software framework to solve quantum many-body problems with cutting edge quantum cluster algorithms. DCA++ implements the dynamical cluster approximation (DCA) and its DCA+ extension with a continuous self-energy. The algorithms capture nonlocal correlations in strongly correlated electron systems, thereby giving insight into high-Tc superconductivity. The code’s scalability allows efficient usage of systems at all scales, from workstations to leadership computers. With regard to the increasing heterogeneity of modern computing machines, DCA++ provides portable performance on conventional and emerging new architectures, such as hybrid CPU–GPU, sustaining multiple petaflops on ORNL’s Titan and CSCS’ Piz Daint supercomputers. Moreover, we show how sustainable and scalable development of the code base has been achieved by adopting standard techniques of the software industry. These include employing a distributed version control system, applying test-driven development and following continuous integration. Program Title: DCA++ Program Files doi: http://dx.doi.org/10.17632/482jm5cv77.1 Licensing provisions: BSD-3-Clause Programming language: C++14 and CUDA Nature of problem: Understanding the fascinating physics of strongly correlated electron systems requires the development of sophisticated algorithms and their implementation on leadership computing systems. Solution method: The DCA++ code provides a highly scalable and efficient implementation of the dynamical cluster approximation (DCA) and its DCA+ extension.
Rapid 3D MAS NMR Spectroscopy at Critical Sensitivity (2010)

Sensitive SIFTing: Multidimensional non-uniform sampling (NUS) NMR spectroscopy is extended to the severely sensitivity-limited regime typical of MAS NMR of biomacromolecules by the use of spectroscopy by the integration of frequency and time domain information (SIFT). A three-dimensional MAS NMR experiment is expedited (here 3.4-fold) without losing sensitivity or resolution.
The Relationship Between Endoscopic and Clinical Recurrence in Postoperative Crohn’s Disease: A Systematic Review and Meta-analysis (2021)

The associations between endoscopic recurrence and subsequent clinical recurrence lend support to the choice of endoscopic recurrence to monitor postoperative disease activity and as a primary endpoint in clinical trials of postoperative Crohn's disease.
mTORC 1 activation decreases autophagy in aging and idiopathic pulmonary fibrosis and contributes to apoptosis resistance in IPF fibroblasts (2016)

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, and usually lethal disease associated with aging. However, the molecular mechanisms of the aging process that contribute to the pathogenesis of IPF have not been elucidated. IPF is characterized by abundant foci of highly active fibroblasts and myofibroblasts resistant to apoptosis. Remarkably, the role of aging in the autophagy activity of lung fibroblasts and its relationship with apoptosis, as adaptive responses, has not been evaluated previously in this disease. In the present study, we analyzed the dynamics of autophagy in primary lung fibroblasts from IPF compared to young and age-matched normal lung fibroblasts. Our results showed that aging contributes for a lower induction of autophagy on basal conditions and under starvation which is mediated by mTOR pathway activation. Treatment with rapamycin and PP242, that target the PI3K/AKT/mTOR signaling pathway, modified starvation-induced autophagy and apoptosis in IPF fibroblasts. Interestingly, we found a persistent activation of this pathway under starvation that contributes to the apoptosis resistance in IPF fibroblasts. These findings indicate that aging affects adaptive responses to stress decreasing autophagy through activation of mTORC1 in lung fibroblasts. The activation of this pathway also contributes to the resistance to cell death in IPF lung fibroblasts.
Subresolution Assist Feature Generation With Supervised Data Learning (2017)

Subresolution assist feature (SRAF) generation is a very important resolution enhancement technique to improve yield in modern semiconductor manufacturing process. Model-based and rule-based approaches are widely adopted in the semiconductor industry. The model-based SRAF generation can achieve a high accuracy but it is known to be time-consuming and it is hard to obtain consistent SRAFs on the same layout pattern configurations. The rule-based SRAF generation is highly technology dependent and it is becoming extremely difficult to render high-quality results in advanced technology nodes. This paper proposes supervised data learning techniques for fast yet consistent SRAF generation with high-quality results. We first propose the constrained concentric circle with area sampling scheme for feature extraction. Illumination source symmetry-based feature compaction technique is further invented to reduce the training data set size and achieve consistent SRAF predictions. Using accurate model-based SRAFs as training data, classification models based on logistic regression (LGR) and support vector machine are calibrated for SRAF predictions. Moreover, the probability maximum prediction is proposed to generate manufacturing-friendly SRAFs with a greedy simplification scheme. We compare support vector machine and LGR models by embedding into an entire mask optimization flow, where the support vector machine model obtains better lithographic performance. Experimental results demonstrate that, compared with the commercial Calibre tool, supervised data learning techniques for SRAF generation obtain significant speed up (>3X for a 100 um <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> layout clip) and comparable lithographic performance in terms of edge placement error and process variation band.
Reaction kinetics on diamond: Measurement of H atom destruction rates (1993)

There is presently a considerable effort to understand the chemistry of diamond film growth by chemical-vapor deposition. The first measurements of reaction kinetics between diamond and a gas-phase species—H atoms—involved in its formation are described. A remarkably simple method to measure H atom concentrations is developed and the method is used to measure γd, the destruction probability of H atoms on diamond at 20 Torr and 1200 K. It is found that γd=0.12, with an estimated uncertainty of a factor of 2. This value is about half that estimated from gas-phase alkane rate constants and very close to that predicted by molecular-dynamics/Monte Carlo calculations. The agreement to within the estimated uncertainty supports the assumption that gas-phase alkane rate constants are essentially transferable to reactions between a diamond surface and gas-phase species. The H atom measurement technique could be useful for studying growth in other chemical-vapor-deposition systems in which hydrogen is in high concentration.
Capacity Theorems for Broadcast Channels With Two Channel State Components Known at the Receivers (2016)

We establish the capacity region of several classes of broadcast channels with random state in which the channel to each user is selected from two possible channel state components and the state is known only at the receivers. When the channel components are deterministic, we show that the capacity region is achieved via Marton coding. This channel model does not belong to any class of broadcast channels for which the capacity region was previously known and is useful in studying wireless communication channels when the fading state is known only at the receivers. We then establish the capacity region when the channel components are ordered, e.g., degraded. In particular, we show that the capacity region for the broadcast channel with degraded Gaussian vector channel components is attained via Gaussian input distribution. Finally, we extend the results on ordered channels to two broadcast channel examples with more than two channel components, but show that these extensions do not hold in general.
Occurrence of longicaudatine, a new type of bis(indole) base and dinor-C-alkaloid H in Strychnos species (1983)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOccurrence of longicaudatine, a new type of bis(indole) base and dinor-C-alkaloid H in Strychnos speciesG. Massiot, M. Zeches, C. Mirand, L. Le Men-Olivier, C. Delaude, K. H. C. Baser, R. Bavovada, N. G. Bisset, P. J. Hylands, and Cite this: J. Org. Chem. 1983, 48, 11, 1869–1872Publication Date (Print):June 1, 1983Publication History Published online1 May 2002Published inissue 1 June 1983https://doi.org/10.1021/jo00159a015RIGHTS & PERMISSIONSArticle Views121Altmetric-Citations19LEARN 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 InReddit PDF (452 KB) Get e-Alertsclose Get e-Alerts
Synthesis and Structure‐Activity Relationship Studies of Pyrazole‐based Heterocycles as Antitumor Agents (2010)

Several 4-cyano-1,5-diphenylpyrazoles attached to different heterocyclic ring systems at position 3 were synthesized starting from ethyl 4-cyano-1,5-diphenyl-1H-pyrazole-3-carboxylate 1. The newly synthesized compounds were tested in vivo for their anti-estrogenic effects and evaluated in vitro for their cytotoxic properties against estrogen-dependent tumors. 3-(5-Mercapto-1,3,4-oxadiazole-2-yl)-1,5-diphenyl-1H-pyrazole-4-carbonitrile 13 revealed the highest cytotoxic activity with a GI(50) value equal to 40 nM against the IGROVI ovarian tumor cell line. It also showed an anti-estrogen activity 1.6 more effective than the reference drug, in addition to a high tolerable dose. 3-(5-(Methylthio)-4-phenyl-4H-1,2,4-triazol-3-yl)-1,5-diphenyl-1H-pyrazole-4-carbonitrile 7 was found to have the highest anti-estrogenic activity, while 1,5-diphenyl-3-[5-(phenylamino)-1,3,4-thiadiazol-2-yl]-1H-pyrazole-4-carbonitrile 11 showed the lowest activity. The oral LD(50) values revealed that most of the tested compounds are relatively nontoxic.
Demonstration of Fowler–Nordheim Tunneling in Simple Solution-Processed Thin Films (2018)

The production of high-quality thin-film insulators is essential to develop advanced technologies based on electron tunneling. Current insulator deposition methods, however, suffer from a variety of limitations, including constrained substrate sizes, limited materials options, and complexity of patterning. Here, we report the deposition of large-area Al<sub>2</sub>O<sub>3</sub> films by a solution process and its integration in metal-insulator-metal devices that exhibit I- V signatures of Fowler-Nordheim electron tunneling. A unique, high-purity precursor based on an aqueous solution of the nanocluster flat-Al<sub>13</sub> transforms to thin Al<sub>2</sub>O<sub>3</sub> insulators free of the electron traps and emission states that commonly inhibit tunneling in other films. Tunneling is further confirmed by the temperature independence of device current.
New Methodologies for the Oxidation of Fischer Carbene Complexes:  Synthesis of Hydrazides (2002)

[reaction: see text] We report new, high-yield methodologies for oxidizing Fischer carbenes, particularly hydrazinocarbene complexes. The reagents traditionally used to oxidize Fischer carbenes have failed because of the stability of hydrazinocarbene complexes and the easy oxidation of formed hydrazides in the reaction conditions. The three newly developed methodologies are very mild, fast, efficient, and complementary. Differently functionalized hydrazinocarbene complexes can be oxidized to afford new hydrazides.
Eosinophilic Enterocolitis in a Patient With Rheumatoid Arthritis (2002)

Schwake, Lukas M.D.; Stremmel, Wolfgang Ph.D.; Sergi, Consolato M.D. Author Information
A novel miniaturization technique in microstrip feed network design (2009)

By the example of a feed network for four-feed circularly polarized antennas an original S-section based miniaturization technique in microstrip feed network design is proposed. The idea is to meander the layout using a raster consisting of ring shape segments.
Late removal of retrievable caval filters (2014)

The advent of retrievable caval filters was a game changer in the sense, that the previously irreversible act of implanting a medical device into the main venous blood stream of the body requiring careful evaluation of the pros and cons prior to execution suddenly became a "reversible" procedure where potential hazards in the late future of the patient lost most of their weight at the time of decision making. This review was designed to assess the rate of success with late retrieval of so called retrievable caval filters in order to get some indication about reasonable implant duration with respect to relatively "easy" implant removal with conventional means, i.e., catheters, hooks and lassos. A PubMed search (www.pubmed.gov) was performed with the search term "cava filter retrieval after 30 days clinical", and 20 reports between 1994 and 2013 dealing with late retrieval of caval filters were identified, covering approximately 7,000 devices with 600 removed filters. The maximal duration of implant reported is 2,599 days and the maximal implant duration of removed filters is also 2,599 days. The maximal duration reported with standard retrieval techniques, i.e., catheter, hook and/or lasso, is 475 days, whereas for the retrievals after this period more sophisticated techniques including lasers, etc. were required. The maximal implant duration for series with 100% retrieval accounts for 84 days, which is equivalent to 12 weeks or almost 3 months. We conclude that retrievable caval filters often become permanent despite the initial decision of temporary use. However, such "forgotten" retrievable devices can still be removed with a great chance of success up to three months after implantation. Conventional percutaneous removal techniques may be sufficient up to sixteen months after implantation whereas more sophisticated catheter techniques have been shown to be successful up to 83 months or more than seven years of implant duration. Tilting, migrating, or misplaced devices should be removed early on, and replaced if indicated with a device which is both, efficient and retrievable.
S-Nitrosylation of α1-Antitrypsin Triggers Macrophages Toward Inflammatory Phenotype and Enhances Intra-Cellular Bacteria Elimination (2019)

<b>Background:</b> Human α1-antitrypsin (hAAT) is a circulating anti-inflammatory serine-protease inhibitor that rises during acute phase responses. <i>in vivo</i>, hAAT reduces bacterial load, without directly inhibiting bacterial growth. In conditions of excess nitric-oxide (NO), hAAT undergoes S-nitrosylation (S-NO-hAAT) and gains antibacterial capacity. The impact of S-NO-hAAT on immune cells has yet to be explored. <b>Aim:</b> Study the effects of S-NO-hAAT on immune cells during bacterial infection. <b>Methods:</b> Clinical-grade hAAT was S-nitrosylated and then compared to unmodified hAAT, functionally, and structurally. Intracellular bacterial clearance by THP-1 macrophages was assessed using live <i>Salmonella typhi</i>. Murine peritoneal macrophages were examined, and signaling pathways were evaluated. S-NO-hAAT was also investigated after blocking free mambranal cysteine residues on cells. <b>Results:</b> S-NO-hAAT (27.5 uM) enhances intracellular bacteria elimination by immunocytes (up to 1-log reduction). S-NO-hAAT causes resting macrophages to exhibit a pro-inflammatory and antibacterial phenotype, including release of inflammatory cytokines and induction of inducible nitric oxide synthase (iNOS) and TLR2. These pro-inflammatory effects are dependent upon cell surface thiols and activation of MAPK pathways. <b>Conclusions:</b> hAAT duality appears to be context-specific, involving S-nitrosylation in a nitric oxide rich environment. Our results suggest that S-nitrosylation facilitates the antibacterial activity of hAAT by promoting its ability to activate innate immune cells. This pro-inflammatory effect may involve transferring of nitric oxide from S-NO-hAAT to a free cysteine residue on cellular targets.
The effects of antiretroviral therapy on viral and nonviral markers in cerebrospinal fluid (2005)

Abstract Potent antiretroviral therapy has improved the survival of people infected with HIV by reducing HIV replication and improving cell-mediated immunity. These direct benefits have led to reductions in the incidence of many HIV-related complications, including HIV-associated dementia (HAD; Sacktor et al. 2001). Other chapters in this text have reviewed the associations between HAD and markers of disease progression. The objective of this chapter is to expand on these chapters by reviewing research findings on the effects of antiretroviral drugs on viral and non-viral markers in cerebrospinal fluid (CSF). This chapter will not address the effects of antiretrovirals on neuropsychological, neuroimaging, or autopsy findings.
Characteristics of the Plasma Disappearance of [3H]-Thyrotropin-Releasing Hormone in the Rat (1974)

Thirty seconds after an intravenous injection of 0.5 ml of 2.5 × 10 −6 M [ 3 H]thyrotropin-releasing hormone (TRH) to male rats, the radioactivity was distributed in an apparent volume of 134 ml, thus reflecting its rapid disappearance from the blood. The pattern of plasma radioactivity after intravenous injection of [ 3 H]TRH could be represented by the sum of three exponentials, suggesting a three-compartment model of plasma disappearance of radioactivity. The half-life of TRH and of its metabolites calculated from the first exponential curve was 2.2 min. Thin-layer electrophoresis of methanol extracts of plasma collected 1, 7, 20, and 30 min after injection of [ 3 H]TRH showed that the neurohormone was transformed into TRH-free acid in proportions of 58, 58, 52, and 47%, respectively. The first 60 min seemed to be the most important period for elimination of the hormone and its metabolites by the kidney. In fact, 60 min after injection, 38% of the total radioactivity was found in the bladder. At 2, 15, and 30 min after injection of [ 3 H]TRH, high accumulation of radioactivity occurred in kidneys, pineal gland, and anterior and posterior (including intermediate) lobes of the pituitary. High levels of radioactivity were seen in kidneys and anterior pituitary gland at all time intervals studied.