gebhart/patrepeval huggingface dataset:
Dielectric function tensor (1.5 eV to 9.0 eV), anisotropy, and band to band transitions of monoclinic β -(AlxGa1–x)2O3 (x ≤ 0.21) films (2019)

A set of monoclinic β-(AlxGa1–x)2O3 films coherently grown by plasma-assisted molecular beam epitaxy onto (010)-oriented β-Ga2O3 substrates for compositions x ≤ 0.21 is investigated by generalized spectroscopic ellipsometry at room temperature in the spectral range of 1.5 eV–9.0 eV. We present the composition dependence of the excitonic and band to band transition energy parameters using a previously described eigendielectric summation approach for β-Ga2O3 from the study by Mock et al. All energies shift to a shorter wavelength with the increasing Al content in accordance with the much larger fundamental band to band transition energies of Al2O3 regardless of crystal symmetry. The observed increase in the lowest band to band transition energy is in excellent agreement with recent theoretical predictions. The most important observation is that charge confinement in heterostructures will strongly depend on the growth condition due to the strongly anisotropic properties of the band to band transitions.
Prognostic Value of DNA Ploidy and Proliferative Activity in Hodgkin’s Disease (1988)

To investigate the occurrence and the prognostic significance of DNA aneuploidy in Hodgkin's disease, the nuclear DNA content of 70 patients with Hodgkin's disease was determined from paraffin-embedded tissue by flow cytometry. DNA aneuploidy was found in eight (11%) cases. None of the five lymphomas of the lymphocytic depletion type was aneuploid, and DNA aneuploidy was not associated with any of the histologic subtypes. DNA ploidy did not have significant association with prognosis, but the two patients with aneuploid lymphoma who died had the largest DNA indices measured (1.63 and 2.03). Patients with lymphoma with greater than 10% S phase cells had poorer crude survival rate (P = 0.01) and survival rate corrected for known intercurrent deaths (P = 0.002) than patients with lymphoma with less than 10% S phase cells. In multivariate analysis, age at diagnosis, sex, histologic subtype, and S phase fraction had independent prognostic value.
Active Learning for Delineation of Curvilinear Structures (2016)

Many recent delineation techniques owe much of their increased effectiveness to path classification algorithms that make it possible to distinguish promising paths from others. The downside of this development is that they require annotated training data, which is tedious to produce. In this paper, we propose an Active Learning approach that considerably speeds up the annotation process. Unlike standard ones, it takes advantage of the specificities of the delineation problem. It operates on a graph and can reduce the training set size by up to 80% without compromising the reconstruction quality. We will show that our approach outperforms conventional ones on various biomedical and natural image datasets, thus showing that it is broadly applicable.
Correlation between kinetics of soluble CD4 interactions with HIV-1-Env-expressing cells and inhibition of syncytia formation (1992)

The lack of syncytia inhibition seen after removal of unbound sCD4, even after pre-incubation of cells under saturation and gp120 shedding conditions, indicated that sufficient numbers of fusogenic molecules remained on the sCD4-treated cells. In addition, fast dissociation of pre-bound sCD4 occurred in culture. These results are important for understanding HIV-1-Env-mediated cell fusion and AIDS therapy.
Learning to Detect Carried Objects with Minimal Supervision (2013)

We propose a learning-based method for detecting carried objects that generates candidate image regions from protrusion, color contrast and occlusion boundary cues, and uses a classifier to filter out the regions unlikely to be carried objects. The method achieves higher accuracy than state of the art, which can only detect protrusions from the human shape, and the discriminative model it builds for the silhouette context-based region features generalizes well. To reduce annotation effort, we investigate training the model in a Multiple Instance Learning framework where the only available supervision is "walk" and "carry" labels associated with intervals of human tracks, i.e., the spatial extent of carried objects is not annotated. We present an extension to the miSVM algorithm that uses knowledge of the fraction of positive instances in positive bags and that scales to training sets of hundreds of thousands of instances.
Data from The Novel Bromodomain and Extraterminal Domain Inhibitor INCB054329 Induces Vulnerabilities in Myeloma Cells That Inform Rational Combination Strategies (2023)

&lt;div&gt;AbstractPurpose:&lt;p&gt;Bromodomain and extraterminal domain (BET) proteins regulate the expression of many cancer-associated genes and pathways; BET inhibitors have demonstrated activity in diverse models of hematologic and solid tumors. We report the preclinical characterization of INCB054329, a structurally distinct BET inhibitor that has been investigated in phase I clinical trials.&lt;/p&gt;Experimental Design:&lt;p&gt;We used multiple myeloma models to investigate vulnerabilities created by INCB054329 treatment that could inform rational combinations.&lt;/p&gt;Results:&lt;p&gt;In addition to c-MYC, INCB054329 decreased expression of oncogenes &lt;i&gt;FGFR3&lt;/i&gt; and &lt;i&gt;NSD2/MMSET/WHSC1,&lt;/i&gt; which are deregulated in t(4;14)-rearranged cell lines. The profound suppression of &lt;i&gt;FGFR3&lt;/i&gt; sensitized the t(4;14)-positive cell line OPM-2 to combined treatment with a fibroblast growth factor receptor inhibitor &lt;i&gt;in vivo&lt;/i&gt;. In addition, we show that BET inhibition across multiple myeloma cell lines resulted in suppressed interleukin (IL)-6 Janus kinase–signal transducers and activators of transcription (JAK–STAT) signaling. INCB054329 displaced binding of BRD4 to the promoter of IL6 receptor (IL6R) leading to reduced levels of IL6R and diminished signaling through STAT3. Combination with JAK inhibitors (ruxolitinib or itacitinib) further reduced JAK–STAT signaling and synergized to inhibit myeloma cell growth &lt;i&gt;in vitro&lt;/i&gt; and &lt;i&gt;in vivo&lt;/i&gt;. This combination potentiated tumor growth inhibition &lt;i&gt;in vivo&lt;/i&gt;, even in the MM1.S model of myeloma that is not intrinsically sensitive to JAK inhibition alone.&lt;/p&gt;Conclusions:&lt;p&gt;Preclinical data reveal insights into vulnerabilities created in myeloma cells by BET protein inhibition and potential strategies that can be leveraged in clinical studies to enhance the activity of INCB054329.&lt;/p&gt;&lt;/div&gt;
Novel Fluorine Doped Transition Metal Oxide (RuxSn1-xO2:F) Oxygen Evolution Electro-Catalysts for Hydrogen Generation from PEM Based Water Electrolysis (2012)

Abstract not Available.
HARVEST (2010)

We present an intelligent visual analytic system called HARVEST. It combines three key technologies to support a complex, exploratory visual analytic process for non-experts: (1) a set of smart visual analytic widgets, (2) a visualization recommendation engine, and (3) an insight provenance mechanism. Study results show that HARVEST helped users analyze a corpus of text documents from a corporate wiki.
Probing the Structural Dynamics of a Bacterial Chaperone in Its Native Environment by Nitroxide‐Based EPR Spectroscopy (2022)

One of the greatest current challenges in structural biology is to study protein dynamics over a wide range of timescales in complex environments, such as the cell. Among magnetic resonances suitable for this approach, electron paramagnetic resonance spectroscopy coupled to site-directed spin labeling (SDSL-EPR) has emerged as a promising tool to study protein local dynamics and conformational ensembles. In this work, we exploit the sensitivity of nitroxide labels to report protein local dynamics at room temperature. We demonstrate that such studies can be performed while preserving both the integrity of the cells and the activity of the protein under investigation. Using this approach, we studied the structural dynamics of the chaperone NarJ in its natural host, Escherichia coli. We established that spin-labeled NarJ is active inside the cell. We showed that the cellular medium affects NarJ structural dynamics in a site-specific way, while the structural flexibility of the protein is maintained. Finally, we present and discuss data on the time-resolved dynamics of NarJ in cellular context.
Porphyrin Based neuton capture agents for cancer therapy (2023)

The invention describes the synthesis of a panel of novel carbon-carbon linked carboranyl-containing 5,10,15,20-tetraphenylporphyrins bearing 25&#x2013;44% boron by weight. In certain embodiments, a phenyl porphyrin compound has a carboranyl group attached to the phenyl group by a carbon-carbon linkage, wherein the phenyl group corresponds to the following formula <chemistry id="CHEM-US-00001" num="00001"><img id="EMI-C00001" he="24.21mm" wi="24.38mm" file="US07067653-20060627-C00001.TIF" alt="embedded image" img-content="chem" img-format="tif"/></chemistry><br/>where R7 through R11 are hydrogen, a carboranyl group, or are selected from the group consisting of hydroxyl, NMe<sub>3</sub><sup>+</sup>, PMePh<sub>2</sub><sup>+</sup>, PO(OH)<sub>2</sub>, SO<sub>3</sub>H, COOH, and NH<sub>2</sub>. In this embodiment, the carboranyl group is attached to the phenyl group by a carbon-carbon linkage, either one or two of R7 through R11 are other than hydrogen; and the phenyl porphyrin compound contains at least one phenyl group having at least one of said carboranyl groups.
SGM3D: Stereo Guided Monocular 3D Object Detection (2021)

Monocular 3D object detection aims to predict the object location, dimension and orientation in 3D space alongside the object category given only a monocular image. It poses a great challenge due to its ill-posed property which is critically lack of depth information in the 2D image plane. While there exist approaches leveraging off-the-shelve depth estimation or relying on LiDAR sensors to mitigate this problem, the dependence on the additional depth model or expensive equipment severely limits their scalability to generic 3D perception. In this paper, we propose a stereo-guided monocular 3D object detection framework, dubbed SGM3D, adapting the robust 3D features learned from stereo inputs to enhance the feature for monocular detection. We innovatively present a multi-granularity domain adaptation (MG-DA) mechanism to exploit the network's ability to generate stereo-mimicking features given only on monocular cues. Coarse BEV feature-level, as well as the fine anchor-level domain adaptation, are both leveraged for guidance in the monocular domain.In addition, we introduce an IoU matching-based alignment (IoU-MA) method for object-level domain adaptation between the stereo and monocular predictions to alleviate the mismatches while adopting the MG-DA. Extensive experiments demonstrate state-of-the-art results on KITTI and Lyft datasets.
Theory and measurements of speed-of-light effects in long cavity fiber Fabry-Perot scanning interferometers (1993)

Analytical and experimental results for high-resolution, long-cavity, fiber Fabry-Perot scanning interferometers show an inverse square-root dependence of bandwidth on cavity length when the scan time per fringe approaches the inverse bandwidth of the interferometer. In this regime transmission fringe distortions due to the finite speed of light occur even at moderate scanning rates of 2 to 10 ms per free spectral range for cavity lengths of 5 to 25 m, respectively. A numerical model incorporating propagation and mirror losses in a Fabry-Perot cavity demonstrates good agreement with experimentally observed rise-time increase, fall-time ringing, and overall attenuation of the bandpass function for very long cavity interferometers.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
A New Family of Modular Chiral Ligands for the Catalytic Enantioselective Reduction of Prochiral Ketones (1999)

A family of enantiomerically pure (4R,5R)-2-alkyl-4-phenyl-5-(R-oxymethyl)-1,3,2-oxazaborolidines (5) [boron substituent: H, CH3, n-C4H9; R-oxy group: CH3O, CH3OCH2CH2O, CH3(OCH2CH2)2O, PhCH2O, Ph2CHO, Ph3CO] has been prepared from (2S,3S)-2,3-epoxy-3-phenylpropanol (2) through a four-step sequence involving protection of the alcohol, regioselective ring-opening of the epoxide with sodium azide in acetonitrile in the presence of LiClO4, reduction of the azido group (H2/Pd−C/MeOH or NaBH4/THF−MeOH), and formation of the oxazaborolidine ring with the appropriate boron reagent. Both the boron substituent and the R-oxy group have been optimized for maximal enantioselectivity in the reduction of prochiral ketones with borane. The optimal oxazaborolidine (5a-Me) [boron substituent: CH3; R-oxy group: CH3O] has been employed (10% molar amount, THF, 0 °C to room temperature) in the reduction of a representative family of 10 substrates comprising alkyl aryl ketones and dialkyl ketones. In these reductions, 5a-Me induces the formation of secondary alcohols of S configuration with high enantioselectivity (93% mean enantiomeric excess). The origin of the enantioselectivity in the reduction has been rationalized by means of semiempirical AM1 calculations.
Influence of the ship hull and superstructure on the on board measurement of wind and turbulence (2002)

Accurate estimation of the drag coefficient of sea-ice is very important for reliabile prediction of seaice behavior. For improving the accuracy of the drag coefficient, we have carried out a measurement of wind and turbulence on the sea of Okhotsk on board of the ice-breaking patroll ship Soya of Japan Coarst Guard.In this study, we evaluated the influence of the superstructure and the hull of ship on the measurement of wind and turbulence by numerical simulations using a commercial CFD code Fluent (Fluent Inc.). The simulations of wind flow around the full scale ship indicated that the measuring instruments should be located at least 6m above the front-deck or at least 4m away from the bridge-house towards the upwind direction.
Hybrid Cooperation Techniques (2011)

A major challenge in the design of next generation wireless communication systems is to achieve both reliable and spectral efficient communication with large coverage range. To tackle this problem, advanced diversity techniques combinedwith adaptive mechanisms have to be designed in order to combat or even exploit the variability of the radio propagation medium across time, frequency and space. Diversity techniques create signal redundancy, by repeating the information across multiple, independent channel realizations. This is accomplished by allowing the receiver to experience the average channel effect rather than an instantaneous fade. As a consequence diversity techniques improve the link reliability at the expense of the system spectral efficiency. By adjusting the transmission parameters to the momentary link quality, adaptive mechanisms aim at improving both spectral efficiency and link reliability. Nevertheless, in order to guarantee the Quality of Service (QoS) constraints from the upper layers, adaptive mechanisms implement a sub-optimal trade-off between link robustness and bandwidth efficiency (Calvanese Strinati E., 2006). Therefore in this chapter we propose and analyze a novel cooperation protocol, the hybrid cooperation protocol and we combine it with link adaptation techniques such as Adaptive Modulation and Coding (AMC) and power allocation. Our task is to minimize the outage probability and maximize the spectral efficiency of transmission, while limiting the cooperation cost in terms of MAC signalling overhead. The scientific content of this chapter is based on some innovative results presented in three conference papers (E. Calvanese Strinati and S. Yang and J-C. Belfiore, 2007) (E. Calvanese Strinati and Luc Maret, 2008) (M. Baydar and E. Calvanese Strinati and J. C. Belfiore, 2008) presented in 2007 and 2008. The goals of this chapter are for the reader to have an understanding of cooperative communication issues and challenges and, to be well informed of the state-of-the-art research development. Eventually, the chapter will present what we have done to improve the performance of currently proposed cooperation techniques, comparing performance of our proposed approaches with state-of-the-art one. A critical discussion on advantages and weakness of the proposed approaches, including future research axes, will conclude the chapter. The innovative contribution in this chapter is threefold. First, in this chapter we introduce and details challenges and possible solutions for the so-called cooperative diversity (E. Erkip A. Sendonaris and B. Aazhang: Part I, 2003; E. Erkip A. Sendonaris and B. Aazhang: Part II, 2003) techniques where a source terminal cooperates with several relays to exploited the spatial diversity in a distributed manner. From a physical 9
Display characterization by eye: contrast ratio and discrimination throughout the grayscale (2004)

We have measured the ability of observers to estimate the contrast ratio (maximum white luminance / minimum black or gray) of various displays and to assess luminous discrimination over the tonescale of the display. This was done using only the computer itself and easily-distributed devices such as neutral density filters. The ultimate goal of this work is to see how much of the characterization of a display can be performed by the ordinary user in situ, in a manner that takes advantage of the unique abilities of the human visual system and measures visually important aspects of the display. We discuss the relationship among contrast ratio, tone scale, display transfer function and room lighting. These results may contribute to the development of applications that allow optimization of displays for the situated viewer / display system without instrumentation and without indirect inferences from laboratory to workplace.
Investigation of generation of low-frequency fields produced by parametric acoustic array, located in the waveguides with rough surfaces (1999)

Under natural conditions the parametric acoustical arrays (PAA) work as a rule near the bottom or near the sea surface. If there are free surfaces in the area of interacting of the high-frequency waves (HFW) then the multi-lobe directivity pattern of the PAA is formed in the horizontal plane. However, these effects appear only in waveguides which are bordered smooth surfaces, because these boundaries do not violate conditions of coherence for interacting waves. If there is a rough surface in the area of interacting of HFW, it leads to limit the length of PAA. In this case a single-lobe directivity pattern on the low-frequency (LF) is formed [Gurbatov et al., Radiophys. Quantum Electron. 38, 82–86 (1995)]. In this paper the results of laboratory investigations of the LF fields angular distribution in waveguides with the rough surfaces are presented. It is shown that the rough boundaries leads to increasing of angular distributions width in composing with similar characteristics in boundless space, and the quality kind of field distribution in the horizontal plane depends not only on its mode structure, but on characteristics of rough waveguide boundaries. [Work supported by RFBR Grants No. 99-02-18354, No. 98-02-16402, INTAS Grant No. 11134.]
Extinction ratio improvement and negative BER penalty for 2R regeneration in Mach-Zehnder wavelength converter with pre-amplifiers (2005)

Extinction ratio (ER) improvement and BER penalty were measured in Mach-Zehnder wavelength converter with preamplifiers at 10 Gbit/s. For the input with smaller ER, the ER was more improved and BER showed larger negative penalty. (2 pages)
Frequency conversion through spontaneous degenerate four wave mixing in large mode area hybrid photonic crystal fibers (2014)

Frequency conversion through spontaneous degenerate four wave mixing (FWM) is investigated in large mode area hybrid photonic crystal fibers. Different FWM processes are observed, phasematching between fiber modes of orthogonal polarization, intermodal phasematching across bandgaps, and intramodal phasematching within the same transmission band as the one containing the pump laser. Furthermore first and second order Ra- man scattering is observed. The interplay between the different FWM processes and Raman scattering are investigated.
TGR5 reduces macrophage migration through mTOR-induced C/EBPβ differential translation (2014)

The bile acid-responsive G protein-coupled receptor TGR5 is involved in several metabolic processes, and recent studies suggest that TGR5 activation may promote pathways that are protective against diet-induced diabetes. Here, we investigated the role of macrophage-specific TGR5 signaling in protecting adipose tissue from inflammation and associated insulin resistance. Examination of adipose tissue from obese mice lacking macrophage Tgr5 revealed enhanced inflammation, increased chemokine expression, and higher macrophage numbers compared with control obese animals. Moreover, macrophage-specific deletion of Tgr5 exacerbated insulin resistance in obese animals. Conversely, pharmacological activation of TGR5 markedly decreased LPS-induced chemokine expression in primary macrophages. This reduction was mediated by AKT-dependent activation of mTOR complex 1, which in turn induced the differential translation of the dominant-negative C/EBPβ isoform, liver inhibitory protein (LIP). Overall, these studies reveal a signaling pathway downstream of TGR5 that modulates chemokine expression in response to high-fat diet and suggest that targeting this pathway has the potential to be therapeutically exploited for prevention of chronic inflammatory diseases and type 2 diabetes mellitus.
Detecting topological order with ribbon operators (2016)

We introduce a numerical method for identifying topological order in two-dimensional models based on one-dimensional bulk operators. The idea is to identify approximate symmetries supported on thin strips through the bulk that behave as string operators associated to an anyon model. We can express these ribbon operators in a matrix product form and define a cost function that allows us to efficiently optimize over this ansatz class. We test this method on spin models with Abelian topological order by finding ribbon operators for ${\mathbb{Z}}_{d}$ quantum double models with local fields and Ising-like terms. In addition, we identify ribbons in the Abelian phase of Kitaev's honeycomb model which serve as the logical operators of the encoded qubit for the quantum error-correcting code. We further identify the topologically encoded qubit in the quantum compass model, and show that despite this qubit, the model does not support topological order. Finally, we discuss how the method supports generalizations for detecting non-Abelian topological order.
Generating document summaries from user annotations (2010)

In this paper we analyze tweets that share the same link as another form of social annotation. By extracting all tweets that contain the same link over a period of time, we can generate a summary of what the crowd is writing about that particular link.
A Multicore Path to Connectomics-on-Demand (2016)

Connectomics is an emerging field of neurobiology that uses cutting edge machine learning and image processing to extract brain connectivity graphs from electron microscopy images. It has long been assumed that the processing of connectomics data will require mass storage and farms of CPUs and GPUs and will take months if not years. This talk shows the feasibility of designing a high-throughput connectomics-on-demand system that runs on a multicore machine with less than 100 cores and extracts connectomes at the terabyte per hour pace of modern electron microscopes. Building this system required solving algorithmic and performance engineering issues related to scaling machine learning on multicore architectures, and may have important lessons for other problem spaces in the natural sciences, where until now large distributed server or GPU farms seemed to be the only way to go.