gebhart/patrepeval huggingface dataset:
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos (2021)

The ability to localize and segment objects from unseen classes would open the door to new applications, such as autonomous object learning in active vision. Nonetheless, improving the performance on unseen classes requires additional training data, while manually annotating the objects of the unseen classes can be labor-extensive and expensive. In this paper, we explore the use of unlabeled video sequences to automatically generate training data for objects of unseen classes. It is in principle possible to apply existing video segmentation methods to unlabeled videos and automatically obtain object masks, which can then be used as a training set even for classes with no manual labels available. However, our experiments show that these methods do not perform well enough for this purpose. We therefore introduce a Bayesian method that is specifically designed to automatically create such a training set: Our method starts from a set of object proposals and relies on (non-realistic) analysis-by-synthesis to select the correct ones by performing an efficient optimization over all the frames simultaneously. Through extensive experiments, we show that our method can generate a high-quality training set which significantly boosts the performance of segmenting objects of unseen classes. We thus believe that our method could open the door for open-world instance segmentation by exploiting abundant Internet videos.
Intraaortic Balloon Pumping for Control of Recurrent Myocardial Ischemia (1973)

Eleven patients were studied because of recurrent angina at rest. In five cases ischemic pain developed 3-10 days after acute myocardial infarction. Pain recurred in all cases despite therapy with bedrest, oxygen, heparin anticoagulation, nitrates, and whenever possible, beta blockade. Intraaortic balloon pumping with a 30-cc balloon prevented ischemia in nine patients and markedly reduced the frequency of ischemic attacks in two. Coronary angiograms were obtained during circulatory assistance without complication and confirmed proximal coronary artery obstructions in all patients. Saphenous vein aortocoronary bypass grafting was then performed. Intraaortic balloon pumping will effectively control myocardial ischemia resistant to medical therapy.
Inducible Expression of Agrobacterium Virulence Gene VirE2 for Stringent Regulation of T-DNA Transfer in Plant Transient Expression Systems (2015)

Agrotransfection with viral vectors is an effective solution for the transient production of valuable proteins in plants grown in contained facilities. Transfection methods suitable for field applications are desirable for the production of high-volume products and for the transient molecular reprogramming of plants. The use of genetically modified (GM) Agrobacterium strains for plant transfections faces substantial biosafety issues. The environmental biosafety of GM Agrobacterium strains could be improved by regulating their T-DNA transfer via chemically inducible expression of virE2, one of the essential Agrobacterium virulence genes. In order to identify strong and stringently regulated promoters in Agrobacterium strains, we evaluated isopropyl-β-d-thiogalactoside-inducible promoters Plac, Ptac, PT7/lacO, and PT5/lacOlacO and cumic acid-inducible promoters PlacUV5/CuO, Ptac/CuO, PT5/CuO, and PvirE/CuO. Nicotiana benthamiana plants were transfected with a virE2-deficient A. tumefaciens strain containing transient expression vectors harboring inducible virE2 expression cassettes and containing a marker green fluorescent protein (GFP) gene in their T-DNA region. Evaluation of T-DNA transfer was achieved by counting GFP expression foci on plant leaves. The virE2 expression from cumic acid-induced promoters resulted in 47 to 72% of wild-type T-DNA transfer. Here, we present efficient and tightly regulated promoters for gene expression in A. tumefaciens and a novel approach to address environmental biosafety concerns in agrobiotechnology.
Anwendungen der gleichläufigen Doppelwellenschnecke (2016)

No AccessDer gleichläufige DoppelschneckenextruderOct 2016Anwendungen der gleichläufigen DoppelwellenschneckeKlemens KohlgrüberKlemens KohlgrüberSearch for more papers by this authorhttps://doi.org/10.3139/9783446435971.008SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2016Pages: 675-806Print ISBN: 978-3-446-43361-8eISBN: 978-3-446-43597-1 Copyright & Permissions© 2016 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
A novel open-transistor fault detection method in symmetric cascaded H-bridge multilevel inverter (2016)

The increased components requirement to realize multilevel inverters (MLIs) fallout in a higher prospect of fault due to power semiconductor switches. Efficient fault detection and diagnosis (FDD) strategies have to be implemented to guarantee protection as well as the reliable operation of MLIs. This paper presents a novel open-transistor fault detection method in a charge balanced symmetric cascaded H-bridge (CHB) MLI. The method has been formulated based on the simulations and experiments on a charge balanced 5-level CHB-MLI. The proposed method uses the mean value of the bridge voltages as the diagnostic variable. The simulation and experimental results prove that this approach can detect the open-transistor fault and identify the faulty switch pair.
Aerodynamic flight research using the Pegasus air-launched space booster (1992)

Completed and planned flight research using the Pegasus as a research vehicle and booster for other hypersonic research vehicles is reviewed. Highlights from flights 1 and 2 are discussed and compared with some analytical results. In particular, attention is given to total vehicle aerodynamics (performance and trim), local aerodynamics (pressure and heat flux distributions), and response of the thermal protection system. Future programs will include a metallic wing test section for laminar flow studies and the use of the Pegasus to boost a research vehicle to hypersonic speeds. The proposed concepts for a dedicated hypersonic research vehicle project are also discussed.
Solving Problems with Visual Analytics (2011)

Visual analytics is an emerging research discipline aiming at making the best possible use of huge information loads in a wide variety of applications by appropriately combining the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user. The major goal of visual analytics is the integration of these disciplines into visual analytics to acquire well-established and agreed upon concepts and theories, combining scientific breakthroughs in a single discipline to have a potential impact on visual analytics and vice versa. In a session at FET’11, the leaders of the thematic working groups of the recently finalised FET Open coordination action VisMaster CA presented the scientific challenges that were identified in the visual analytics research roadmap, and the connection between the various disciplines and the broader vision of visual analytics. This article contains excerpts from this research roadmap to motivate further research in this direction within FET.
Contemporary Aspects of Discrete Peak-Detection Algorithms. I. The Paradigm of the Luteinizing Hormone Pulse Signal in Men* (1988)

WITH THE advent of RIAs to measure low concentrations of circulating hormones in the early 1970s, endocrine investigators were able to recognize that many hormones are secreted in an episodic fashion. The methodology of the RIA permitted repeated measures of a particular hormone in individual subjects over extended intervals, e.g. 24 h. When serial hormone concentrations are plotted over time, the resultant time series exhibits visually distinct regions in which a relative increase is followed by a subsequent decrease in hormone concentrations. These discrete events have been termed pulses. The pulsatile secretion of endocrine products is based upon a complex interaction of peptides, glycoproteins, and steroid hormones termed the neuroendocrine axis. This merging of the neural and endocrine systems begins in the brain where neurons located in the hypothalamus, under the influence of largely unknown suprahypothalamic neurons, secrete peptides termed hypothalamic releasing factors (e.g. GnRH and TRH), which travel to the pituitary gland via the hypophyseal-portal microvascular system. Such releasing factors stimulate specific pituitary cells to release one or more (glyco)protein hormones (e.g. LH and FSH) into the bloodstream. The circulatory compartment then conveys this pituitary signal to the various target sites; viz. cells of the respective endocrine end organs (e.g. ovary, thyroid, adrenal gland). The end organ responds to the trophic signal by secreting its relevant hormone (e.g. estrogen, T4, cortisol) into the bloodstream. The glandular products in turn act through feedback mechanisms to modulate secretion of (neuro)hormones at the hypothalamic and pituitary levels.
Mid-infrared quantum dot emitters utilizing planar photonic crystal technology. (2008)

The three-dimensional confinement inherent in InAs self-assembled quantum dots (SAQDs) yields vastly different optical properties compared to one-dimensionally confined quantum well systems. Intersubband transitions in quantum dots can emit light normal to the growth surface, whereas transitions in quantum wells emit only parallel to the surface. This is a key difference that can be exploited to create a variety of quantum dot devices that have no quantum well analog. Two significant problems limit the utilization of the beneficial features of SAQDs as mid-infrared emitters. One is the lack of understanding concerning how to electrically inject carriers into electronic states that allow optical transitions to occur efficiently. Engineering of an injector stage leading into the dot can provide current injection into an upper dot state; however, to increase the likelihood of an optical transition, the lower dot states must be emptied faster than upper states are occupied. The second issue is that SAQDs have significant inhomogeneous broadening due to the random size distribution. While this may not be a problem in the long term, this issue can be circumvented by using planar photonic crystal or plasmonic approaches to provide wavelength selectivity or other useful functionality.
ENGINEERED MESENCHYMAL STEM CELLS (MSCS): A PLATFORM FOR LOCAL AND SYSTEMIC GENE THERAPY AND TISSUE ENGINEERING OF BONE (2002)

Mesenchymal Stem Cells (MSCs) are key regulators in senile osteoporosis and in bone formation and regeneration. MSCs are therefore suitable candidates for stem cells mediated gene therapy of bone. Recombinant human Bone Morphogenetic Protein-2 (rhBMP-2) is a highly osteoinductive cytokine, promoting osteogenic differentiation of MSCs. We hypothesized that genetically engineered MSCs, expressing rhBMP2, can be utilized for targeted cell mediated gene therapy for local and systemic bone disorders and for bone/cartilage tissue engineering. Engineered MSCs expressing rhBMP-2 have both autocrine and paracrine effects enabling the engineered cells to actively participate in bone formation. We conditionally expressed rhBMP2 (tet-controlled gene expression, tet-off system) in mouse and human mesenchymal stem cells. RhBMP2 expressing clones (tet-off and adeno-BMP2 infected MSCs), spontaneously differentiated into osteogenic cells in vitro and in vivo. Engineered MSCs were transplanted locally and tracked in vivo in radial segmental defects (regenerating site) and in ectopic muscular and subcutaneous sites (non-regenerating sites). In vitro and in vivo analysis revealed rhBMP2 expression and function, confirmed by RT-PCR, ELISA, western blot, immunohistochemistry and bioassays. Secretion of rhBMP2 in vitro was controlled by tetracycline and resulted in secretion of 1231 ng/24 hours/106 cells. Quantitative Micro-CT 3-Dimentional reconstruction revealed complete bone regeneration regulated by tetracycline in vivo, indicating the potential of this platform for bone and cartilage tissue engineering. Angiogenesis, a crucial element in tissue engineering, was increased by 10-folds in transplants of rhBMP2 expressing MSCs (tet-off), shown by histomorphometry and MRI analysis (p These engineered MSCs were genetically modified in order to achieve homing to the bone marrow. Systemic non invasive tracking of engineered MSCs was achieved by recording topographical bioluminescence derived from luciferase expression detected by a coupled charged CCD imaging camera. For clinical situations that require immuno-isolation of transplanted cells, we developed an additional platform utilizing cell encapsulation technique. Immuno-isolated engineered MSCs, with tet-controlled rhBMP-2 expression, encapsulated with sodium alginate induced bone formation by paracrine effect of secreted rhBMP-2. Finally, we have characterized a novel tissue-engineering platform composed of engineered MSCs and biodegradable polymeric scaffolds, creating a 3D bone tissue in rotating Bioreactors. Our results indicate that engineered MSCs and polymeric scaffolds can be utilized for ex vivo bone tissue engineering. We therefore conclude that genetically engineered MSCs expressing rhBMP-2 under tetracycline control are applicable for: a) local and systemic gene therapy to bone, and b) bone tissue engineering. Our studies should lead to the creation of gene therapy platforms for systemic and local bone diseases in humans and bone/cartilage tissue engineering.
Simultaneous enrichment and optical detection of low levels of stressedEscherichia coliO157:H7 in food matrices (2014)

The assay is promising for detecting E. coli O157:H7 at different steps of food and drink processing and during storage. SPRi appears to be a suitable and powerful detection method for routine quality controls in food industry with important economic and societal impact.
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms (2020)

We consider the model selection task in the stochastic contextual bandit setting. Suppose we are given a collection of base contextual bandit algorithms. We provide a master algorithm that combines them and achieves the same performance, up to constants, as the best base algorithm would, if it had been run on its own. Our approach only requires that each algorithm satisfy a high probability regret bound. Our procedure is very simple and essentially does the following: for a well chosen sequence of probabilities $(p_{t})_{t\geq 1}$, at each round $t$, it either chooses at random which candidate to follow (with probability $p_{t}$) or compares, at the same internal sample size for each candidate, the cumulative reward of each, and selects the one that wins the comparison (with probability $1-p_{t}$). To the best of our knowledge, our proposal is the first one to be rate-adaptive for a collection of general black-box contextual bandit algorithms: it achieves the same regret rate as the best candidate. We demonstrate the effectiveness of our method with simulation studies.
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences (2018)

Deep approaches to predict monocular depth and ego-motion have grown in recent years due to their ability to produce dense depth from monocular images. The main idea behind them is to optimize the photometric consistency over image sequences by warping one view into another, similar to direct visual odometry methods. One major drawback is that these methods infer depth from a single view, which might not effectively capture the relation between pixels. Moreover, simply minimizing the photometric loss does not ensure proper pixel correspondences, which is a key factor for accurate depth and pose estimations.
The Metalliclike Conductivity of a Two-Dimensional Hole System (1998)

We report on a zero magnetic field transport study of a two-dimensional, variable-density, hole system in GaAs. As the density is varied we observe, for the first time in GaAs-based materials, a crossover from an insulating behavior at low density, to a metalliclike behavior at high density, where the metallic behavior is characterized by a large drop in the resistivity as the temperature is lowered. These results are in agreement with recent experiments on Si-based two-dimensional systems. We show that, in the metallic region, the resistivity is dominated by an exponential temperature dependence with a characteristic temperature which is proportional to the hole density.
Radical Cyclization Reactions (1996)

Abstract Radical cyclization reactions are among the most powerful and versatile methods for the construction of mono‐ and polycyclic systems. The advantages these reactions offer to the synthetic organic chemist include high functional group tolerance and mild reaction conditions combined with high levels of regio‐ and stereochemistry. Furthermore, the recent progress in radical chemistry has led to the development of a broad range of very useful practical methods to conduct radical cyclization reactions. In general, radical cyclization reactions comprise three basic steps: selective radical generation, radical cyclization, and conversion of the cyclized radical to the product. For the generation of the initial radical a broad variety of suitable precursors can be employed, such as halides, thio‐ and selenoethers, alcohols, aldehydes and hydrocarbons. The cyclization step usually involves the intramolecular addition of a radical to a multiple bond. Most often carbon–carbon multiple bonds are employed; however, there are also examples known for the addition to carbon–oxygen and carbon–nitrogen bonds. Depending on the method employed, the cyclized radical is converted to the desired product by trapping with a radical scavenger, by a fragmentation reaction, or by an electron transfer reaction. The section Mechanism, Regio‐ and Stereochemistry provides an introduction to the key features of radical cyclization with a special emphasis on the factors controlling the regio‐ and stereochemistry. The section Scope and Limitations covers the different methods used to conduct radical cyclization. The basic principles of radical chemistry and general practical considerations when conducting radical cyclizations are not discussed in detail. Several excellent review articles and books dealing with these topics are available.
System Control (2010)

This textbook for advanced undergraduates and graduate students emphasizes algorithms for a range of strategies for locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. This edition includes advances in robotics and intelligent machines over the ten years prior to publication, including significant coverage of SLAM (simultaneous localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various mathematical techniques that were assumed in the first edition are now briefly introduced in appendices at the end of the text to make the book more self-contained. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.
Intramolecular Locked Dithioalkylbithiophene‐Based Semiconductors for High‐Performance Organic Field‐Effect Transistors (2017)

New 3,3'-dithioalkyl-2,2'-bithiophene (SBT)-based small molecular and polymeric semiconductors are synthesized by end-capping or copolymerization with dithienothiophen-2-yl units. Single-crystal, molecular orbital computations, and optical/electrochemical data indicate that the SBT core is completely planar, likely via S(alkyl)⋯S(thiophene) intramolecular locks. Therefore, compared to semiconductors based on the conventional 3,3'-dialkyl-2,2'-bithiophene, the resulting SBT systems are planar (torsional angle <1°) and highly π-conjugated. Charge transport is investigated for solution-sheared films in field-effect transistors demonstrating that SBT can enable good semiconducting materials with hole mobilities ranging from ≈0.03 to 1.7 cm<sup>2</sup> V<sup>-1</sup> s<sup>-1</sup> . Transport difference within this family is rationalized by film morphology, as accessed by grazing incidence X-ray diffraction experiments.
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements (2014)

Compressive sensing of signals drawn from a Gaussian mixture model (GMM) admits closed-form minimum mean squared error reconstruction from incomplete linear measurements. An accurate GMM signal model is usually not available a priori, because it is difficult to obtain training signals that match the statistics of the signals being sensed. We propose to solve that problem by learning the signal model in situ, based directly on the compressive measurements of the signals, without resorting to other signals to train a model. A key feature of our method is that the signals being sensed are treated as random variables and are integrated out in the likelihood. We derive a maximum marginal likelihood estimator (MMLE) that maximizes the likelihood of the GMM of the underlying signals given only their linear compressive measurements. We extend the MMLE to a GMM with dominantly low-rank covariance matrices, to gain computational speedup. We report extensive experimental results on image inpainting, compressive sensing of high-speed video, and compressive hyperspectral imaging (the latter two based on real compressive cameras). The results demonstrate that the proposed methods outperform state-of-the-art methods by significant margins.
4-O-Benzyl-2,3-O-isopropylidene-α-L-rhamnopyranose (1999)

It is shown that the title compound, C 16 H 22 O 5 , has the α-anomeric configuration, a fact of interest for its use as an intermediate in oligosaccharide synthesis. One plausible intermolecular hydrogen-bond chain is found in the direction of the b axis.
Targeting Hypoxic Prostate Tumors Using the Novel Hypoxia-Activated Prodrug OCT1002 Inhibits Expression of Genes Associated with Malignant Progression (2016)

<b>Purpose:</b> To understand the role of hypoxia in prostate tumor progression and to evaluate the ability of the novel unidirectional hypoxia-activated prodrug OCT1002 to enhance the antitumor effect of bicalutamide.<b>Experimental Design:</b> The effect of OCT1002 on prostate cancer cells (LNCaP, 22Rv1, and PC3) was measured in normoxia and hypoxia <i>in vitro</i><i>In vivo</i>, tumor growth and lung metastases were measured in mice treated with bicalutamide, OCT1002, or a combination. Dorsal skin fold chambers were used to image tumor vasculature <i>in vivo</i> Longitudinal gene expression changes in tumors were analyzed using PCR.<b>Results:</b> Reduction of OCT1002 to its active form (OCT1001) decreased prostate cancer cell viability. In LNCaP-luc spheroids, OCT1002 caused increased apoptosis and decreased clonogenicity. <i>In vivo</i>, treatment with OCT1002 alone, or with bicalutamide, showed significantly greater tumor growth control and reduced lung metastases compared with controls. Reestablishment of the tumor microvasculature following bicalutamide-induced vascular collapse is inhibited by OCT1002. Significantly, the upregulation of <i>RUNX2</i> and its targets caused by bicalutamide alone was blocked by OCT1002.<b>Conclusions:</b> OCT1002 selectively targets hypoxic tumor cells and enhances the antitumor efficacy of bicalutamide. Furthermore, bicalutamide caused changes in gene expression, which indicated progression to a more malignant genotype; OCT1002 blocked these effects, emphasizing that more attention should be attached to understanding genetic changes that may occur during treatment. Early targeting of hypoxic cells with OCT1002 can provide a means of inhibiting prostate tumor growth and malignant progression. This is of importance for the design and refinement of existing androgen-deprivation regimens in the clinic. <i>Clin Cancer Res; 23(7); 1797-808. ©2016 AACR</i>.