gebhart/patrepeval huggingface dataset:
Experience Building a Prototype 5G Testbed (2018)

While experimental work in the context of 5G has gained significant traction over the past few years, the focus has mainly been on testing the features and capabilities of novel designs and architectures using very simple testbed setups. However, with the emergence of network slicing as a key feature of 5G, creating larger scale infrastructures capable of supporting virtualized end-to-end mobile network services is of paramount importance for experimentation. In this work, we describe our experience in building such a prototype cross-domain testbed targeting 5G use cases, by enabling multi-tenancy through the virtualization of the underlying infrastructure. The capabilities of the testbed are demonstrated through the use case of neutral-host indoor small-cell deployments, followed by a discussion on the challenges we faced while building the testbed, which open up new research opportunities in this space.
Gaussian Process Models for HRTF based Sound-Source Localization and Active-Learning (2015)

From a machine learning perspective, the human ability localize sounds can be modeled as a non-parametric and non-linear regression problem between binaural spectral features of sound received at the ears (input) and their sound-source directions (output). The input features can be summarized in terms of the individual's head-related transfer functions (HRTFs) which measure the spectral response between the listener's eardrum and an external point in $3$D. Based on these viewpoints, two related problems are considered: how can one achieve an optimal sampling of measurements for training sound-source localization (SSL) models, and how can SSL models be used to infer the subject's HRTFs in listening tests. First, we develop a class of binaural SSL models based on Gaussian process regression and solve a \emph{forward selection} problem that finds a subset of input-output samples that best generalize to all SSL directions. Second, we use an \emph{active-learning} approach that updates an online SSL model for inferring the subject's SSL errors via headphones and a graphical user interface. Experiments show that only a small fraction of HRTFs are required for $5^{\circ}$ localization accuracy and that the learned HRTFs are localized closer to their intended directions than non-individualized HRTFs.
CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (2021)

Cameras currently allow access to two image states: (i) a minimally processed linear raw-RGB image state (i.e., raw sensor data); or (ii) a highly-processed nonlinear image state (e.g., sRGB). There are many computer vision tasks that work best with a linear image state, such as image deblurring and image dehazing. Unfortunately, the vast majority of images are saved in the nonlinear image state. Because of this, a number of methods have been proposed to "unprocess" nonlinear images back to a raw-RGB state. However, existing unprocessing methods have a drawback because raw-RGB images are sensor-specific. As a result, it is necessary to know which camera produced the sRGB output and use a method or network tailored for that sensor to properly unprocess it. This paper addresses this limitation by exploiting another camera image state that is not available as an output, but it is available inside the camera pipeline. In particular, cameras apply a colorimetric conversion step to convert the raw-RGB image to a device-independent space based on the CIE XYZ color space before they apply the nonlinear photo-finishing. Leveraging this canonical image state, we propose a deep learning framework, CIE XYZ Net, that can unprocess a nonlinear image back to the canonical CIE XYZ image. This image can then be processed by any low-level computer vision operator and re-rendered back to the nonlinear image. We demonstrate the usefulness of the CIE XYZ Net on several low-level vision tasks and show significant gains that can be obtained by this processing framework. Code and dataset are publicly available at https://github.com/mahmoudnafifi/CIE_XYZ_NET.
Molecular immune pathogenesis and diagnosis of COVID-19 (2020)

Coronavirus disease 2019 (COVID-19) is a kind of viral pneumonia which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The emergence of SARS-CoV-2 has been marked as the third introduction of a highly pathogenic coronavirus into the human population after the severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syndrome coronavirus (MERS-CoV) in the twenty-first century. In this minireview, we provide a brief introduction of the general features of SARS-CoV-2 and discuss current knowledge of molecular immune pathogenesis, diagnosis and treatment of COVID-19 on the base of the present understanding of SARS-CoV and MERS-CoV infections, which may be helpful in offering novel insights and potential therapeutic targets for combating the SARS-CoV-2 infection.
The Potential of Acousto-Ultrasonic Techniques for Inspection of Baked Carbon Anodes (2016)

High quality baked carbon anodes contribute to the optimal performance of aluminum reduction cells. However, the currently decreasing quality and increasing variability of anode raw materials (coke and pitch) make it challenging to manufacture the anodes with consistent overall quality. Intercepting faulty anodes (e.g., presence of cracks and pores) before they are set in reduction cells and deteriorate their performance is therefore important. This is a difficult task, even in modern and well-instrumented anode plants, because lab testing using core samples can only characterize a small proportion of the anode production due to the costly, time-consuming, and destructive nature of the analytical methods. In addition, these results are not necessarily representative of the whole anode block. The objective of this work is to develop a rapid and non-destructive method for quality control of baked anodes using acousto-ultrasonic (AU) techniques. The acoustic responses of anode samples (sliced sections) were analyzed using a combination of temporal features computed from AU signals and principal component analysis (PCA). The AU signals were found sensitive to pores and cracks and were able to discriminate the two types of defects. The results were validated qualitatively by submitting the samples to X-ray Computed Tomography (CT scan).
Deletion of a splice donor site ablates expression of the following exon and produces an unphosphorylated RB protein unable to bind SV40 T antigen. (1990)

Studies of mutated retinoblastoma (RB) proteins in human tumor cells potentially reveal regions of the normal RB gene product that are required for its cancer suppression function. We here characterize a mutated RB protein of Mr 104,000 (p104) from a primary small-cell lung carcinoma. Unlike normal RB protein (pp110RB), p104 was unphosphorylated and unable to bind T antigen of SV40 both in vivo and in vitro. On the other hand, nuclear localization and DNA binding activity were preserved in the mutated protein. p104 was immunoprecipitable with four separate polyclonal antibodies recognizing different epitopes of the RB polypeptide, suggesting the presence of most exons in their correct reading frame. Following reverse transcription and in vitro amplification, RB mRNA from this tumor was shown to lack nucleotides encoded by exon 16. Analysis of genomic DNA from this tumor showed that exon 16 and its flanking splice donor and acceptor sequences were present and entirely normal; however, a 43-base pair (bp) region containing the splice donor site of intron 15 was deleted instead. Exon 15 was joined directly to exon 17 during mRNA processing via a cryptic splice donor site; exon 16 was presumably skipped because the preceding mutated intron was of insufficient length (less than 80 bp) for normal RB mRNA processing. These results demonstrate that loss of a single small exon disrupts several important biochemical properties of RB protein. In addition, sequence features of the 43-bp depletion suggest involvement of a novel deletional mechanism.
A Novel Colour Hessian and its Applications (2017)

The idea of contrast at a pixel, including contrast in colour or higher-dimensional image data, has traditionally been associated with the Structure Tensor, also named the di Zenzo matrix or Harris matrix. This 2 &#xD7; 2 array encapsulates how colour-channel first-derivatives give rise to change in any spatial direction in x, y. The di Zenzo or Harris matrix Z has been put to use in several different applications. For one, the Spectral Edge method for image fusion uses Z for a putative colour image, along with the Z for higher-dimensional data, to produce an altered RGB image which properly has exactly the same Z as that of high-D data. So e.g. the contrast from RGB + NIR images can be fused such that Z in RGB takes on the same values as Z for 4-D data. As well, Z has been used as the foundation for the Harris interest-point or corner-point detector. However, a competing definition for Z is the 2 &#xD7; 2 Hessian matrix, formed from second-derivative values rather than first derivatives. In this paper we develop a novel Z which in the first place utilizes the Harris Z, but then goes on to modify Z by adding some information from the Hessian. Moreover, here we consider an extension to a Hessian for colour or higher-D image data which treats colour channels not as simply to be added, but in a colour formulation that generates the Hessian from a colour vector. For image fusion, experiments are carried out on three datasets of 50 images each. Using the modified version of Z that includes Hessian information, results are shown to retain more details and also generate fused images that have smaller CIELAB errors from the original RGB. Using the new Z in corner-detection, the novel colour Hessian produces interest points that are more accurate, and as well generates fewer mistake points.
Synthesis and structural assessment of ammonium and caesium difluorodioxoperoxouranates(VI), A2[UO2(O2)F2](A = NH4or Cs), and alkali-metal difluorodioxoperoxouranate(VI) monohydrates, A2[UO2(O2)F2]·H2O (A = K or Rb) (1985)

The product obtained by treating an aqueous solution of UO2(NO3)2·6H2O with NH4OH or KOH reacts with AF (A = NH4, Rb, or Cs) or KF, 30% H2O2, and a very small amount of 40% HF, in the mol ratio UO2(NO3)2·6H2O:AF:H2O2 of 1:4:110.8, at pH 6.5–7 to afford ammonium and caesium difluorodioxoperoxouranates(VI), A2[UO2(O2) F2](A = NH4 or Cs), and potassium and rubidium difluorodioxoperoxouranate(VI) monohydrates, A2[UO2(O2)F2]·H2O (A = K or Rb). The i.r. spectra suggest that the peroxo-ligand is bonded to the UO22+ centre in a triangular bidentate (C2v,) manner.
Living With Ambiguity: Pricing Mortality‐Linked Securities With Smooth Ambiguity Preferences (2013)

A BSTRACT Mortality is a stochastic process. We have imprecise knowledge about the probability distribution of mortality rates in the future. Mortality risk, therefore, can be defined in a broader term of ambiguity. In this article, we investigate the effects of ambiguity and ambiguity aversion on prices of mortality‐linked securities. Ambiguity may arise from parameter uncertainty due to a finite sample of data and inaccurate old‐age mortality rates. We compare the price of a mortality bond in three scenarios: (1) no parameter uncertainty, (2) parameter uncertainty with Bayesian updates, and (3) parameter uncertainty with the smooth ambiguity preference. We use the indifference pricing approach to derive the minimum ask price and the maximum bid price, and adopt the economic pricing method to compute the equilibrium price that clears the market. We reveal the connection between the indifference pricing approach and the economic pricing approach and find that ambiguity aversion has a much smaller effect on prices of mortality‐linked securities than risk aversion in our example.
Penicillium viticola, a new species isolated from a grape in Japan (2011)

A new monoverticillate Penicillium species (subgenus Aspergilloides Dierckx), Penicillium viticola, was isolated from a grape cultivated in Yamanashi Prefecture, Japan. Morphologically, P. viticola is characterized by the production of slightly roughened conidia, slightly roughened stipes, and rapid growth on 25% glycerol nitrate agar (G25N). This species is phylogenetically close to Penicillium angulare S.W. Peterson, E.M. Bayer & Wicklow, but differs with respect to colonial characteristics and conidia and penicilli morphology.
Degradation of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans by the white rot fungus Phanerochaete sordida YK-624 (1996)

A method for the degradation of dioxins by white rot fungi was developed. Degradation of a mixture of 10 kinds of tetra- to octachlorodibenzo-p-dioxins (polychlorinated dibenzo-p-dioxins [PCDDs]) and tetra- to octachlorodibenzofurans (polychlorinated dibenzofurans [PCDFs]), which were chlorinated at 2-, 3-, 7-, and 8-positions of the molecules, by the white rot fungus Phanerochaete sordida YK-624 was studied in a stationary low-nitrogen medium. The percent degradation values of PCDDs and PCDFs were approximately 40 (tetra-chloro-) to 76% (hexachloro-) and 45 (tetrachloro-) to 70% (hexachloro-), respectively. Metabolites of 2,3,7,8-tetra- and octaCDD formed by P. sordida YK-624 included 4,5-dichlorocatechol and tetrachlorocatechol, respectively. These results suggest that white rot fungus is able to substantially degrade both PCDDs and PCDFs. This is the first report of the degradation of highly chlorinated PCDDs and PCDFs by a microorganism.
CCDC 113994: Experimental Crystal Structure Determination (1999)

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Design and reactivity studies of mononuclear nickel(II) complexes with superoxide (2020)

A challenge that every chemist faces today is making a process environmentally friendly. Interest in bio-inspired catalytic systems has therefore increased because of their potential to reduce chemical waste. Enzymes serve as an inspiration in the development of new reaction pathways because of their ability to perform redox reactions at high efficiency, while employing a wide
Comparison of the ease of laryngeal mask airway ProSeal insertion and the fiberoptic scoring according to the head position and the presence of a difficult airway (2011)

A difficult airway and the head position had no influence on the ease of PLMA insertion and the fiberopic score. Therefore, the head position can be selected according to the individual patient's situation.
An Empirical Evaluation of an Unpacking Method Implemented with Dynamic Binary Instrumentation (2011)

Many malicious programs we encounter these days are armed with their own custom encoding methods (i.e., they are packed) to deter static binary analysis. Thus, the initial step to deal with unknown (possibly malicious) binary samples obtained from malware collecting systems ordinarily involves the unpacking step. In this paper, we focus on empirical experimental evaluations on a generic unpacking method built on a dynamic binary instrumentation (DBI)framework to figure out the applicability of the DBI-based approach. First, we present yet another method of generic binary unpacking extending a conventional unpacking heuristic. Our architecture includes managing shadow states to measure code exposure according to a simple byte state model. Among available platforms, we built an unpacking implementation on PIN DBI framework. Second, we describe evaluation experiments, conducted on wild malware collections, to discuss workability as well as limitations of our tool. Without the prior knowledge of 6029 samples in the collections, we have identified at around 64% of those were analyzable with our DBI-based generic unpacking tool which is configured to operate in fully automatic batch processing. Purging corrupted and unworkable samples in native systems, it was 72%.
Modelling and experimental analysis of a six phase permanent magnet synchronous generator in a variable speed constant frequency generating system (2005)

International audience
Tgf-β1 transcriptionally promotes 90K expression: possible implications for cancer progression (2021)

The 90K protein, also known as Mac-2 BP or LGALS3BP, can activate the immune response in part by increasing major histocompatibility (MHC) class I levels. In studies on a non-immune cell model, the rat FRTL-5 cell line, we observed that transforming growth factor (TGF)-β1, like γ-interferon (IFN), increased 90K levels, despite its immunosuppressive functions and the ability to decrease MHC class I. To explain this paradoxical result, we investigated the mechanisms involved in the TGF-β1 regulation of 90K expression with the aim to demonstrate that TGF-β1 utilizes different molecular pathways to regulate the two genes. We found that TGF-β1 was able to increase the binding of Upstream Stimulatory Factors, USF1 and USF2, to an E-box element, CANNTG, at -1926 to -1921 bp, upstream of the interferon response element (IRE) in the 90K promoter. Thyrotropin (TSH) suppressed constitutive and γ-IFN-induced 90K expression by decreasing USF binding to the E-box. TGF-β1 was able to overcome TSH suppression at the transcriptional level by increasing USF binding to the E-box. We suggest that the ability of TGF-β1 to increase 90K did not result in an increase in MHC class I because of a separate suppressive action of TGF-β1 directly on the MHC class I gene. We propose that the increased levels of 90K may play a role, rather than in immune response, in the context of the TGF-β1-induced changing of the cellular microenvironment that predisposes to cell motility and cancer progression. Consistently, analyzing the publicly available cancer patient data sets cBioPortal, we found that 90K expression directly correlated with TGF-β1 and USFs and that high levels of 90K were significantly associated with increased mortality in patients affected by different types of cancer.
Growth of oriented lithium niobate on silicon by alternating gas flow chemical beam epitaxy with metalorganic precursors (2000)

We present the results of investigations of LiNbO3 film growth on Si by conventional chemical beam epitaxy (CBE) and by alternating gas flow deposition with alkoxide precursors. Both growth methods produced films with an intervening interface amorphous layer, whose thickness depends strongly on growth and annealing temperatures. While films grown by chemical beam epitaxy were always polycrystalline, the LiNbO3 films grown by alternating gas flow deposition were oriented materials. Based on our studies, we hypothesize that the alternating layer deposition technique enhances bulk interdiffusion efficiency of metal ions leading to a more controlled epitaxy of LiNbO3 on Si relative to conventional CBE growth.
NEAT: a domain duplicated in genes near the components of a putative Fe3+siderophore transporter from Gram-positive pathogenic bacteria (2002)

The NEAT domain might be functionally related to iron transport. The taxonomic specificity of this domain and its predicted extracellular position could make it an interesting target for designing new drugs against some highly pathogenic bacteria.
Thrombolytic therapy in older acute ischemic stroke patients with gastrointestinal malignancy or recent bleeding (2019)

In this observational cohort, we did not find increased risk of in-hospital mortality and bleeding in rtPA-treated patients with gastrointestinal malignancy or recent gastrointestinal bleeding.
RNA interference therapeutics for cancer: Challenges and opportunities (Review) (2012)

RNA interference (RNAi) is a sequence-specific, post-transcriptional gene silencing mechanism in animals and plants, which is mediated by double-stranded RNA (dsRNA). There has recently been an increasing interest in harnessing the gene silencing activity of dsRNA to develop novel drugs for the treatment of various diseases, such as cancer, neurological disorders, age-related macular degeneration and viral infections. Small interfering RNA (siRNA)-based drugs have distinct advantages over conventional small molecule or protein-based drugs, including high specificity, higher potency and reduced toxicity. However, there are several technical obstacles to overcome before siRNA-based drugs reach the clinic. Delivery of siRNA to the target tissues and stability in the serum remain a major challenge and are the main focus of current research and development efforts. This review focused primarily on the progress made in developing RNAi as therapeutics for cancer and the challenges associated with its clinical development. Use of ligands recognizing cell-specific receptors to achieve tumor-specific delivery of siRNA, methods for enhanced siRNA delivery, improving the bioavailability and pharmacokinetic properties of siRNA and reducing the off-target effects and non-specific gene silencing are discussed in the light of current evidence.
Chromosome mapping of the human mitochondrial acetoacetyl-coenzyme A thiolase gene to 11q22.3→q23.1 by fluorescence in situ hybridization (1992)

A plasmid clone of an 8.2-kb &lt;i&gt;Eco&lt;/i&gt;Rl genomic fragment of the gene for human mitochondrial acetoacetyl-CoA thiolase (ACAT; E.C.2.3.1.9), containing exon 9 to exon 12, was utilized in a fluorescence in situ hybridization study to assign the ACAT locus to chromosome 11q22.3→q23.1.
Cloning of the cDNA encoding mast cell tryptase of Mongolian gerbil, Meriones unguiculatus, and its preferential expression in the intestinal mucosa (1995)

By using the combination of reverse-transcription PCR and rapid amplification of cDNA ends methods, a cDNA encoding mast cell tryptase was successfully cloned from the small intestine of Mongolian gerbil, Meriones unguiculatus, infected with Nippostrongylus brasiliensis. The cDNA was 1219 bp long including 810 bp of an open reading frame. Based on the deduced amino acid sequences of known mast cell tryptases of other species, the gerbil mast cell tryptase (gMCT) was highly similar to mouse mast cell protease (mMCP)-7, and seems to be translated as a prepro-enzyme with 25 amino acids of signal and activation peptides and 245 amino acids of mature enzyme. The gMCT mRNA was preferentially transcribed in the intestinal mucosa and to a far lesser extent in the connective tissue such as skin and tongue. Moreover, kinetic study after infection revealed that the amount of gMCT mRNA in the small intestine correlated well with the degree of intestinal mastocytosis. Throughout the course of infection, enzyme-histochemically detectable tryptase activity was limited to mucosal mast cells. Since mucosal mast cells of other rodents, including mice and rats, do not express tryptases, this is the first report of rodent mast cell tryptase expressed in the intestinal mucosa.
A comparison of users' perceptions of and willingness to use Google, Facebook, and Google+ single-sign-on functionality (2013)

Identity providers such as Google and Facebook are increasingly used to sign in to third-party services like Flickr and USA Today. For users, this can increase convenience (e.g., fewer passwords to remember) and security (e.g., service providers need not keep passwords). At the same time, relying on identity providers that have rich information about users (e.g., all information in a Facebook profile) creates the risk that users will lose oversight or control over the access that service providers are given to this information. To address such concerns, identity providers show users consent interfaces at sign on and provide audit tools for post hoc review.