gebhart/patrepeval huggingface dataset:
Synaptotagmin–Ca2+ triggers two sequential steps in regulated exocytosis in rat PC12 cells: fusion pore opening and fusion pore dilation (2005)

Synaptotagmin I (Syt I), the putative Ca(2+) sensor in regulated exocytosis, has two Ca(2+)-binding modules, the C2A and C2B domains, and a number of putative effectors to which Syt I binds in a Ca(2+)-dependent fashion. The role of Ca(2+) binding to these domains remains unclear, as efforts to address questions about Ca(2+)-triggered effector interactions have led to conflicting results. We have studied the effects of Ca(2+) on fusion pores using amperometry to follow the exocytosis of single vesicles in real time and analyse the kinetics of fusion pore transitions. Elevating [Ca(2+)] in permeabilized cells reduced the fusion pore lifetime, indicating an action of Ca(2+) during the actual fusion process. Analysing the Ca(2+) dependence of the fusion pore lifetime, together with the frequency of pore openings and the proportion of openings that close without dilating (kiss-and-run events) enabled us to resolve exocytosis into a sequence of kinetic steps representing functional transitions in the fusion pore. Fusion pore opening and dilation were both accelerated by Ca(2+), indicating separate Ca(2+) control over each of these steps. Ca(2+) ligand mutations in either the C2A or C2B domains of Syt I reduced fusion pore opening, but had opposite actions on the rate of fusion pore closure. These studies resolve two separate and distinct Ca(2+)-triggered steps during regulated exocytosis. The C2A and C2B domains of Syt I have different actions during these steps, and these actions may be linked to their distinctive effector interactions.
Optical characterization of the Sandia fog facility (2017)

Degraded visual environments are a serious concern for modern sensing and surveillance systems. Fog is of interest due to the frequency of its formation along our coastlines disrupting border security and surveillance. Fog presents hurdles in intelligence and reconnaissance by preventing data collection with optical systems for extended periods. We will present recent results from our work in operating optical systems in our controlled fog experimental chamber. This facility is a 180-foot-long, 10-foot-wide, and 10-foot-tall structure that has over 60 spray nozzles to achieve uniform aerosol coverage with various particle size, distributions, and densities. We will discuss the physical formation of fog in nature and how our generated fog compares. In addition, we will discuss fog distributions and characterization techniques. We will investigate the biases of different methods and discuss the different techniques that are appropriate for realistic environments. Finally, we will compare the data obtained from our characterization studies against accepted models (e.g., MODTRAN) and validate the usage of this unique capability as a controlled experimental realization of natural fog formations. By proving the capability, we will enable the testing and validation of future fog penetrating optical systems and providing a platform for performing optical propagation experimentation in a known, stable, and controlled environment.
Characteristics and Health Care Utilization of Different Segments of a Multiethnic Asian Population in Singapore (2019)

Different population segments displayed heterogeneity in sociodemographic characteristics, health conditions, health care utilization, and health care cost patterns. This critical health information can be used as baseline data to inform regional and national health priorities for health services research and policy.
La Hispania de Cn. Pompeyo Magno y C. Julio César: modelos de gestión territorial y clientelar (2009)

null La presente tesis doctoral ofrece algunos elementos de respuesta y de reflexion a la presencia y gestion pompeyana y cesariana en la peninsula Iberica, territorio de pruebas donde poner en practica la eficacia de los diversos modelos de gestion polit ica, administrativa, militar y socioeconomica, sometiendo a analisis y critica los testimonios literarios, materiales y fuentes de diversa indole. Se tienen en consideracion varios elementos como la composicion de las oligarquias locales de las prov incias hispanas, las relaciones de amicitia-clientela, el concepto de la situacion social, politica y economica por parte de los provinciales, y no menos importante resulta el analisis del grado de aplicacion de los modelos de gestion politica y de p romocion estatutaria. Es decir, se abordan los procesos de clientela, colonizacion, municipalizacion y organizacion politico-administrativa emprendidos por Pompeyo y Cesar en la peninsula Iberica, analizando la repercusion y significado de la gestion de la gens Pompeia y de Cesar en Hispania. El analisis de la informacion y de los hechos permite confirmar que durante el Bellum Hispaniense ni la Hispania Citerior fue totalmente propompeyana ni la Hispania Ulterior fue plenamente procesariana. Est a tesis doctoral sugiere que si bien Pompeyo inicio en cierto sentido la integracion politico-administrativa de las diversas comunidades hispanas utilizando para ello la clientela y la latinidad, en realidad fue Cesar el verdadero innovador de un sis tema de integracion politico-administrativo a gran escala en la peninsula Iberica empleando la promocion juridica y la concesion de privilegios a varias comunidades, aplicando, paralelamente, los patrones de la civitas romana. Asi, fue Cesar quien re almente asento las bases y los cimientos del futuro sistema imperial que Augusto llevaria a su maximo esplendor.
Detecting and Tracking Cells using Network Flow Programming (2015)

We propose a novel approach to automatically detecting and tracking cell populations in time-lapse images. Unlike earlier ones that rely on linking a predetermined and potentially under-complete set of detections, we generate an overcomplete set of competing detection hypotheses. We then perform detection and tracking simultaneously by solving an integer program to find an optimal and consistent subset. This eliminates the need for heuristics to handle missed detections due to occlusions and complex morphology. We demonstrate the effectiveness of our approach on a range of challenging image sequences consisting of clumped cells and show that it outperforms state-of-the-art techniques.
PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation (2012)

PatchMatch is a simple, yet very powerful and successful method for optimizing continuous labelling problems.The algorithm has two main ingredients: the update of the solution space by sampling and the use of the spatial neighbourhood to propagate samples.We show how these ingredients are related to steps in a specific form of belief propagation in the continuous space, called Particle Belief Propagation (PBP).However, PBP has thus far been too slow to allow complex state spaces.We show that unifying the two approaches yields a new algorithm, PMBP, which is more accurate than PatchMatch and orders of magnitude faster than PBP.To illustrate the benefits of our PMBP method we have built a new stereo matching algorithm with unary terms which are borrowed from the recent PatchMatch Stereo work and novel realistic pairwise terms that provide smoothness.We have experimentally verified that our method is an improvement over state-of-the-art techniques at sub-pixel accuracy level. IntroductionThis paper draws a new connection between two existing algorithms for estimation of correspondence fields between images: Belief Propagation [15,19] and PatchMatch [1, 2].Correspondence fields arise in problems such as dense stereo reconstruction, optical flow estimation, and a variety of computational photography applications such as recoloring, deblurring, high dynamic range imaging, and inpainting.By analysing the connection between the methods, we obtain a new algorithm which has performance superior to both its antecedents, and in the case of stereo matching, represents the current state of the art on the Middlebury benchmark at sub-pixel accuracy.The first contribution of our work is a detailed description of PatchMatch and belief propagation in terms that allow the connection between the two to be clearly described.This analysis is largely self-contained, and comprises the first major section of the paper.Our second contribution is in the use of this analysis to define a new algorithm: PatchMatch Belief Propagation (PMBP) which, despite its relative simplicity, is more accurate than PatchMatch and orders of magnitude faster than PBP.
ChemInform Abstract: High Oxidation State Coordination Chemistry with Triamidoamine Tungsten and Molybdenum Complexes (1998)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Electrical safety (2014)

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A monolithic 56 Gb/s CMOS integrated nanophotonic PAM-4 transmitter (2015)

We report a demonstration of four-level pulse amplitude modulation (PAM-4) using a segmented traveling-wave silicon photonic Mach-Zehnder modulator with monolithically integrated CMOS drivers. The PAM-4 transmitter shows clear eye openings up to 28 Gbaud.
Comparison of photoselective vaporization and standard transurethral resection of the prostate on urodynamics in patients with benign prostatic hyperplasia (2009)

The 12-month outcome after PVP is similar to that of TURP with an effective relief from BOO and detrusor overactivity and minimal change in detrusor contractility.
Performance improvements in distributed estimation and fusion induced by a trusted core (2009)

Abstract – We consider distributed state estimation and fusion in autonomic adhoc sensor networks when some nodes are untrusted, corrupted or malicious. We provide rigorous graph models to capture both trust and network functionality relations. We propose a novel hierarchical scheme, inspired from socio-cognitive dynamics in economics and sociology, that utilizes a trusted core. We provide a component-based architecture to show the interplay between the trust and estimation schemes. As an explanatory example we consider the problem of distributed Kalman filtering. We show that trust-based schemes, implemented by a trusted core, result in significant improvement in the state estimation procedure. We also find that the interplay between estimation and trust updates quickly isolates malicious nodes and helps the observation limited nodes (corrupted sensor nodes).
Hematogenous Osteoarticular Infections of the Hand and the Wrist in Children With Sickle Cell Anemia (2013)

Level III.
Highly selective enrichment of phosphopeptides using poly(dibenzo‐18‐crown‐6) as a solid‐phase extraction material (2019)

A poly(dibenzo-18-crown-6) was used as a new solid-phase extraction material for the selective enrichment of phosphopeptides. Isolation of phosphopeptides was achieved based on specific ionic interactions between poly(dibenzo-18-crown-6) and the phosphate group of phosphopeptides. Thus, a method was developed and optimized, including loading, washing and elution steps, for the selective enrichment of phosphopeptides. To assess this potential, tryptic digest of three proteins (α- casein, β-casein and ovalbumin) was applied on poly(dibenzo-18-crown-6). The nonspecific products were removed by centrifugation and washing. The spectrometric analysis was performed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Highly selective enrichment of both mono- and multiphosphorylated peptides was achieved using poly(dibenzo-18-crown-6) as solid-phase extraction material with minimum interference from nonspecific compounds. Furthermore, evaluation of the efficiency of the poly(dibenzo-18-crown-6) was performed by applying the digest of egg white. Finally, quantum mechanical calculations were performed to calculate the binding energies to predict the affinity between poly(dibenzo-18-crown-6) and various ligands. The newly identified solid-phase extraction material was found to be a highly efficient tool for phosphopeptide recovery from tryptic digest of proteins.
Computer Simulation and Analysis of Three-Dimensional Tumor Geometry in Radiotherapy (2012)

Radiotherapy plays an important role in the treatment for patients with solid tumors. Recently, the advantages in high-precision radiotherapy enable focusing of higher radiation energy (dose) to the tumor region while minimizing unwanted radiation exposure to surrounding normal tissue to avoid radiation injury. Intensity-modulated radiation therapy (IMRT) varies the intensities and profiles of beams from various directions to fit the tumor size and shape. This technique greatly improves dose concentration on target region and normal tissue sparing. Image-guided radiation therapy (IGRT) uses advanced imaging technology such as on-board imaging system to achieve precise and accurate dose delivery. Many studies have reported inter-fractional organ motions and efficacy of IGRT in reducing targeting errors using daily CT images (Den et al. 2009, Wang et al. 2009, Houghton et al. 2009, Pawlowski et al. 2010, Varadhan et al. 2009, Greene et al. 2009). Owing to these techniques, errors in patient set-up and dose delivery can be reduced to some extent. However, as radiotherapy typically takes several weeks, tumor and normal tissues may deform due to therapeutic effect or loss of body weight during treatment period. Shapes and locations of the tumor and the surrounding organs would be quite different from those when the treatment was planned. This results in overdosage of surrounding normal tissue or underdosage of target region. To overcome this issue, it would be useful to precisely analyse and predict the changes in three-dimensional (3D) geometries of tumors and normal tissues through the treatment.
Contribution à la valorisation non énergétique de la biomasse : Apport de la RMN du carbone-13 à l'analyse d'huiles essentielles et d'oléorésines (2000)

Cette etude est une contribution a la valorisation de la biomasse consideree comme source de produits naturels a forte valeur ajoutee. Ces derniers sont des melanges complexes dont la valorisation passe par une etape prealable d'analyse. Pour ce faire, nous avons developpe la methode d'analyse des melanges complexes par rmn 1 3c sans separation prealable des constituants et nous l'avons appliquee a trois types de melanges : les huiles essentielles (juniperus phoenicea ssp. Turbinata et pinus nigra ssp. Laricio), les oleoresines et les extraits methanoliques (pinus nigra ssp. Laricio). Ainsi, l'etude statistique des resultats analytiques (rmn 1 3c et cpg) d'un grand nombre d'echantillons d'huiles essentielles de ces deux vegetaux a revele la presence d'une variabilite chimique intraspecifique, les echantillons se repartissant en deux groupes suivant leur teneur en -pinene, -phellandrene et acetate d'-terpinyle (j. Phoenicea ssp. Turbinata) et en -pinene, oxyde de manoyle et germacrene-d (p. Nigra ssp. Laricio). De plus, nous avons montre que le sechage des aiguilles de pin laricio s'accompagne d'un accroissement du rendement se traduisant par une activation de la production d'oxyde de manoyle. Enfin, nous avons mis au point une methode d'identification et de quantification, par rmn 1 3c des diterpenes acides et neutres en melange sans separation ni derivatisation prealable. Apres avoir determine et optimise les parametres d'une sequence impulsionnelle garantissant justesse, linearite et precision des mesures, nous avons valide le protocole experimental par l'analyse de melanges artificiels avant de l'appliquer a plusieurs echantillons d'oleoresines et d'extraits de p. Nigra ssp. Laricio. Les resultats obtenus temoignent
A novel supervisory scheme for OXC based on different time-delay recognition (2005)

A novel supervising technique, based on different time-delay recognition scheme, for monitoring the switch fabric of optical cross-connects is proposed. This method features fast detection, high reliability, fault location, and actual routing information. The supervising of 4/spl times/4 switch fabric with a detecting time of less than 300 ns was achieved. It is also verified experimentally that the degradation of the system performance caused by this supervising approach is negligible.
High temperature reliable epitaxially grown quantum dot lasers on (001) Si with record performance (2021)

We report a novel solution to the high temperature reliability of InAs quantum dot lasers grown on (001) Si. Negligible degradation was observed after 1800 h aging, giving an extrapolated lifetime of two million hours.
The Hitchin connection in arbitrary characteristic (2020)

We give an algebro-geometric construction of the Hitchin connection, valid also in positive characteristic (with a few exceptions). A key ingredient is a substitute for the Narasimhan-Atiyah-Bott Kähler form that realizes the Chern class of the determinant-of-cohomology line bundle on the moduli space of bundles on a curve. As replacement we use an explicit realisation of the Atiyah class of this line bundle, based on the theory of the trace complex due to Beilinson-Schechtman and Bloch-Esnault.
Clinical activity of abemaciclib in patients with relapsed or refractory mantle cell lymphoma - a phase II study (2020)

International audience
OutMet: A new metric for prioritising intrusion alerts using correlation and outlier analysis (2014)

In a medium sized network, an Intrusion Detection System (IDS) could produce thousands of alerts a day many of which may be false positives. In the vast number of triggered intrusion alerts, identifying those to prioritise is highly challenging. Alert correlation and prioritisation are both viable analytical methods which are commonly used to understand and prioritise alerts. However, to the author's knowledge, very few dynamic prioritisation metrics exist. In this paper, a new prioritisation metric - OutMet, which is based on measuring the degree to which an alert belongs to anomalous behaviour is proposed. OutMet combines alert correlation and prioritisation analysis. We illustrate the effectiveness of OutMet by testing its ability to prioritise alerts generated from a 2012 red-team cyber-range experiment that was carried out as part of the BT Saturn programme. In one of the scenarios, OutMet significantly reduced the false-positives by 99.3%.
Cavitation controlled acoustic probe for fabric spot cleaning and moisture monitoring (2023)

A method and apparatus are provided for monitoring a fabric. An acoustic probe generates acoustic waves relative to the fabric. An acoustic sensor, such as an accelerometer is coupled to the acoustic probe for generating a signal representative of cavitation activity in the fabric. The generated cavitation activity representative signal is processed to indicate moisture content of the fabric. A feature of the invention is a feedback control signal is generated responsive to the generated cavitation activity representative signal. The feedback control signal can be used to control the energy level of the generated acoustic waves and to control the application of a cleaning solution to the fabric.
Activation Function Architectures for FPGAs (2018)

Machine Learning is now one of the most active application areas for FPGAs. The more complex recurrent neural network (RNN) topologies require multiple non-linear activation functions, mainly tanh and sigmoid, per iteration. In this paper we will examine the impact of activation function quality - in both area and (especially) latency - on RNN performance. We present a number of architectures for these functions, for both half precision (IEEE754-2008 FP16) and single precision (IEEE754 FP32) floating-point representations. We describe how the IEEE754 single precision hard floating point (HFP) blocks available in current FPGAs ease the implementation of these functions, and we also give an alternate method the tanh function based on integer arithmetic. With the combination of exceptional internal memory bandwidth, direct support of high performance floating point dot products, and the new activation functions, we show that FPGAs can be a highly effective vehicle for these type of neural networks.
Transport Gap in Dual-Gated Graphene Bilayers Using Oxides as Dielectrics (2012)

Graphene bilayers in Bernal stacking exhibit a transverse electric (E) field-dependent band gap, which can be used to increase the channel resistivity and enable higher on/off ratio devices. We provide a systematic investigation of transport characteristics in dual-gated graphene bilayer devices as a function of density and E field and at temperatures from room temperature down to 0.3 K. The sample conductivity shows finite threshold voltages along the electron and hole branches, which increase as the E field increases, similar to a gapped semiconductor. We extract the transport gap as a function of E field and discuss the impact of disorder. In addition, we show that beyond the threshold, the bilayer conductivity shows a highly linear dependence on density, which is largely insensitive to the applied E field and the temperature.
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution (2023)

The task of lane detection has garnered considerable attention in the field of autonomous driving due to its complexity. Lanes can present difficulties for detection, as they can be narrow, fragmented, and often obscured by heavy traffic. However, it has been observed that the lanes have a geometrical structure that resembles a straight line, leading to improved lane detection results when utilizing this characteristic. To address this challenge, we propose a hierarchical Deep Hough Transform (DHT) approach that combines all lane features in an image into the Hough parameter space. Additionally, we refine the point selection method and incorporate a Dynamic Convolution Module to effectively differentiate between lanes in the original image. Our network architecture comprises a backbone network, either a ResNet or Pyramid Vision Transformer, a Feature Pyramid Network as the neck to extract multi-scale features, and a hierarchical DHT-based feature aggregation head to accurately segment each lane. By utilizing the lane features in the Hough parameter space, the network learns dynamic convolution kernel parameters corresponding to each lane, allowing the Dynamic Convolution Module to effectively differentiate between lane features. Subsequently, the lane features are fed into the feature decoder, which predicts the final position of the lane. Our proposed network structure demonstrates improved performance in detecting heavily occluded or worn lane images, as evidenced by our extensive experimental results, which show that our method outperforms or is on par with state-of-the-art techniques.
Characterization of Semi-Float Axle Shaft Bending Fractures (1994)

&lt;div class="htmlview paragraph"&gt;Semi-float rear axles are used today throughout the world on most passenger cars, sport utility vehicles, and many light trucks. The axle shaft in the semi-float axle assembly serves two functions; to transmit torque, and to carry the vehicle weight. These shafts are typically conservative in design and extremely reliable. However, they will occasionally fracture by bending overload as a result of an accident such as side impact with another vehicle or obstacle, or a rollover situation. These fractures have been, on occasion, grossly mischaracterized leading to an erroneous conclusion as to the cause of an accident. It is the intent of this work to serve as a guide in recognizing the cause of bending fractures that may occur in this type axle shaft. Fortunately, these fractures are easy to identify and the information they provide is absolutely reliable.&lt;/div&gt;