gebhart/patrepeval huggingface dataset:
UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection (2013)

In this paper, we extend our previously proposed line detection method to line segmentation using a so-called unite-and-divide (UND) approach. The methodology includes two phases, namely the union of spectra in the frequency domain, and the division of the sinogram in Radon space. In the union phase, given an image, its sinogram is obtained by parallel 2D multilayer Fourier transforms, Cartesian-to-polar mapping and 1D inverse Fourier transform. In the division phase, the edges of butterfly wings in the neighborhood of every sinogram peak are firstly specified, with each neighborhood area corresponding to a window in image space. By applying the separated sinogram of each such windowed image, we can extract the line segments. The division Phase identifies the edges of butterfly wings in the neighborhood of every sinogram peak such that each neighborhood area corresponds to a window in image space. Line segments are extracted by applying the separated sinogram of each windowed image. Our experiments are conducted on benchmark images and the results reveal that the UND method yields higher accuracy, has lower computational cost and is more robust to noise, compared to existing state-of-the-art methods.
Tumor Induced Inactivation of Natural Killer Cell Cytotoxic Function; Implication in Growth, Expansion and Differentiation of Cancer Stem Cells (2011)

Accumulated evidence indicates that cytotoxic function of immune effectors is largely suppressed in the tumor microenvironment by a number of distinct effectors and their secreted factors. The aims of this review are to provide a rationale and a potential mechanism for immunosuppression in cancer and to demonstrate the significance of such immunosuppression in cellular differentiation and progression of cancer. To that end, we have recently shown that NK cells mediate significant cytotoxicity against primary oral squamous carcinoma stem cells (OSCSCs) as compared to their more differentiated oral squamous carcinoma cells (OSCCs). In addition, human embryonic stem cells (hESCs), Mesenchymal Stem Cells (hMSCs), dental pulp stem cells (hDPSCs) and induced pluripotent stem cells (hiPSCs) were all significantly more susceptible to NK cell mediated cytotoxicity than their differentiated counterparts or parental cells from which they were derived. We have also reported that inhibition of differentiation or reversion of cells to a less-differentiated phenotype by blocking NFκB or targeted knock down of COX2 in primary monocytes in vivo significantly augmented NK cell function. Total population of monocytes and those depleted of CD16(+) subsets were able to substantially prevent NK cell mediated lysis of OSCSCs, MSCs and DPSCs. Taken together, our results suggest that stem cells are significant targets of the NK cell cytotoxicity. The concept of split anergy in NK cells and its contribution to tissue repair and regeneration and in tumor resistance and progression will be discussed in this review.
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections (2020)

In this paper, we study zero-shot learning in audio classification through factored linear and nonlinear acoustic-semantic projections between audio instances and sound classes. Zero-shot learning in audio classification refers to classification problems that aim at recognizing audio instances of sound classes, which have no available training data but only semantic side information. In this paper, we address zero-shot learning by employing factored linear and nonlinear acoustic-semantic projections. We develop factored linear projections by applying rank decomposition to a bilinear model, and use nonlinear activation functions, such as tanh, to model the non-linearity between acoustic embeddings and semantic embeddings. Compared with the prior bilinear model, experimental results show that the proposed projection methods are effective for improving classification performance of zero-shot learning in audio classification.
Locking of Helicity and Shape Complementarity in Diarylethene Dimers on Graphite (2007)

Upon deposition of an achiral solution of diarylethene 1 on the achiral surface of graphite, a highly ordered monolayer with large homochiral domains is formed by self-assembly. Scanning tunneling microscopy and molecular dynamics show that the building blocks forming this monolayer are chiral dimers. We suggest that the mechanism of formation of these chiral dimers is first, surface-induced atropoisomerism, which provides diarylethene 1 with a fixed helicity, and second, shape recognition between atropoisomers having similar helicities.
Bloodborne pathogen exposures and prevention in the perioperative environment. (2003)

The fear of exposure to bloodborne pathogens and disease transmission from patients to health care professionals or health care professional to patients is real. Perioperative nurses and other surgical personnel should be aware of the dangers and risks of exposure to these viruses. Patients may be infected with one of the currently recognized bloodborne viruses including Hepatitis B (HBV), Hepatitis C (HCV) and the Human Immunodeficiency Virus (HIV). It is imperative that accidental exposure during surgical procedures be avoided. The most common means of exposure are percutaneous and mucous membrane routes. The persistence of HBV, HCV and HIV infections, long incubation periods, and the likelihood of frequent asymptomatic carrier states remain continuing threats to the surgical team and makes it difficult to rely on a diagnosis. Infection prevention and control strategies to reduce the risk of exposures and prevent transmission are based on a number of approaches including engineering, administrative and works practice controls and the proper selection and use of personal protective equipment.
Biconnectivity approximations and graph carvings (1994)

A spanning tree in a graph is the smallest connected spanning subgraph. Given a graph, how does one find the smallest (i.e., least number of edges) 2-connected spanning subgraph (connectivity refers to both edge and vertex connectivity, if not specified)? Unfortunately, the problem is known to be NP-hard. We consider the problem of finding a better approximation to the smallest 2-connected subgraph, by an efficient algorithm. For 2-edge connectivity, our algorithm guarantees a solution that is no more than 3/2 times the optimal. For 2-vertex connectivity, our algorithm guarantees a solution that is no more than 5/3 times the optimal. The previous best approximation factor is 2 for each of these problems. The new algorithms (and their analyses) depend upon a structure called a carving of a graph, which is of independent interest. We show that approximating the optimal solution to within an additive constant is NP-hard as well. We also consider the case where the graph has edge weights. For this case, we show that an approximation factor of 2 is possible in polynomial time for finding a k -edge connected spanning subgraph. This improves an approximation factor of 3 for k = 2, due to Frederickson and Ja´Ja´ [1981], and extends it for any k (with an increased running time though).
Oxidatively Damaged DNA in Rats Exposed by Oral Gavage to C 60 Fullerenes and Single-Walled Carbon Nanotubes (2008)

Oral exposure to low doses of C60 fullerenes and SWCNT is associated with elevated levels of 8-oxodG in the liver and lung, which is likely to be caused by a direct genotoxic ability rather than an inhibition of the DNA repair system.
Service Oriented D2D Efficient Communication for Post-Disaster Management (2020)

In a post-disaster situation, the construction of replacement communication infrastructure is crucial for the success of rescue operations. LTE Device-to-Device Proximity Services and IoT are considered as key enabling technologies for the construction of such replacement networks. Existing techniques rely on smartphones as relay stations to build a replacement broadcast-based network that connects available devices. In many cases, the using of such networks require querying a given type of IoT devices (e.g, surveillance cameras, heart-rate monitors, temperature sensors) depending on network users and service requirements. In such scenarios, incorporating all relays in the broadcast is inefficient and may lead to poor network performance. In this paper, we propose constructing for each service type a sub-network of relay stations that ensure connectivity among IoT devices providing the same service type. The resulting sub-networks ensure an efficient and robust message dissemination, avoiding transmission redundancy, and resulting in higher energy savings as well as high coverage. These properties have been validated by implementing our solution in NS-3 by extending the LTE D2D ProSe module provided by NIST. Obtained results show significant improvements in terms of energy consumption, and packet delivery ratio.
Ground Moving Radar Targets Classification Based on Spectrogram Images Using Convolutional Neural Networks (2018)

In this paper, a new approach for classifying ground moving targets captured by Pulsed Doppler Radars is proposed. Radar echo signals express the doppler effect produced by the movement of targets. Those signals can be processed in different domains to attain distinctive characteristics of targets that can be used for target classification. Our proposed approach is based on utilizing a pre-trained Convolutional Neural Network (CNN), VGG16 and VGG19, as feature extractors whereas the output features were used to train a multiclass support vector machine (SVM) classifier. To evaluate our approach, we used RadEch database of 8 ground moving targets classes. Our approach outperformed the state of the art methods, using the same database, with an accuracy of 96.56%.
Summary report of Working Group 6: Laser-plasma acceleration of ions (2012)

This is a summary of presentations and discussions in the Laser-Plasma Acceleration of Ions Working Group at the 2012 Advanced Accelerator Concepts Workshop. Presentations on various topics of laser-driven ion acceleration in plasma are reviewed, and the status and future directions of research in this area are presented.
[(1,2,3,4,5-η)-2-[(Diphenylphosphino)-methyl]-3,4-dimethyl-1H-phosphol-1-yl][(1,2,3,4,5-η)-1,2,3,4,5-pentamethyl-2,4-cyclopentadien-1-yl]iron (2002)

[209669-90-9] C29H34FeP2 (MW 500.90) InChI = 1S/C19H19P2.C10H15.Fe/c1-15-13-20-19(16(15)2)14-21(17-9-5-3-6-10-17)18-11-7-4-8-12-18;1-6-7(2)9(4)10(5)8(6)3;/h3-13H,14H2,1-2H3;1-5H3; InChIKey = ULNXHLNIWVVXMY-UHFFFAOYSA-N (chiral ligand for rhodium-catalyzed enantioselective hydrogenation of dehydroamino acids and for rhodium-catalyzed enantioselective isomerization of allylic alcohols to aldehydes) Solubility: soluble in organic solvents. Form Supplied in: yellow oil. Handling, Storage, and Precautions: can be handled briefly in air; should be stored under an inert atmosphere.
Trishomoaromatische Dianionen von 1,3,5-Triboracyclohexanen (2000)

Ein neues Trishomoaren wird durch Reduktion von Hexamethyl-1,3,5-triboracyclohexan mit Lithium in Donor-Lösungsmitteln erhalten. Mit Tetrahydropyran (THP) und [12]Krone-4 entstehen kristalline Tetramere (die Struktur des mit [12]Krone-4 erhaltenen tetrameren Anions ist gezeigt). Die B3-Ringe sind aromatisch.
LSTM-Based Electrical Load Forecasting for Chattogram City of Bangladesh (2020)

Load forecasting is one of the necessary tools for the modern energy management system. In the smart grid, electric load forecasting offers a useful duty in decision making for power system companies to ease the decision-making action of electricity production and consumption. Short-term load forecasting is the most practicable kinds of load forecasting method as it can match an unsteady growth of power demand with the increasing population and reliance on electric power. Due to the chaotic nature of the electric power demand, an artificial neural network (ANN) is the favored method for load prediction purposes. In this paper, an electrical load forecasting technique based on recurrent neural network (RNN-based model): Long Short-Term Memory Network (LSTM) is proposed for a planned smart grid system in Chattogram city, the commercial capital of Bangladesh. The suggested method is tested on the freely accessible dataset for load forecasting purposes in the Chattogram city. In addition, the method is compared with other traditional load forecasting techniques, such as support vector machine (SVM). The proposed LSTM method outperforms the SVM method with the least RMSE and MAE error rate of 127.682 and 92.448 respectively, which results in 52.24% and 21.67% error reduction in both MAE and RMSE respectively.
RAI1 Regulates Activity-Dependent Nascent Transcription and Synaptic Scaling (2019)

Abstract Long-lasting forms of synaptic plasticity such as synaptic scaling are critically dependent on transcription. Activity-dependent transcriptional dynamics in neurons, however, have not been fully characterized, because most previous efforts relied on measurement of steady-state mRNAs. Here, we profiled transcriptional dynamics of primary neuronal cultures undergoing network activity shifts using nascent RNA sequencing. We found pervasive transcriptional changes, in which ~45% of expressed genes respond to network activity shifts. Notably, the majority of these genes respond to increases or decreases of network activity uniquely, rather than reciprocally. We further linked the chromatin regulator Retinoic acid induced 1 (RAI1), the Smith-Magenis Syndrome gene, to the specific transcriptional program driven by reduced network activity. Finally, we show that RAI1 is essential for homeostatic synaptic upscaling but not downscaling. These results demonstrate the utility of bona fide transcription profiling to discover mechanisms of activity-dependent chromatin remodeling that underlie normal and pathological synaptic plasticity.
ChemInform Abstract: Synthesis and SAR of Novel 1,1‐Dialkyl‐2(1H)‐naphthalenones as Potent HCV Polymerase Inhibitors. (2008)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 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.
The management of infantile spasms (2008)

Infantile spasms (IS) is the most frequent epilepsy syndrome in infancy. Although the consensus triad of spasms in clusters with hypsarrhythmia adversely affecting psychomotor development1 seems quite straightforward, the great variability of each component is a challenge not only to the clinician involved in management of the condition but also to the methodologist designing trials for treatment issues.

Indeed, the spasms may be symmetrical, asymmetrical or mixed, and florid and easy to identify or reduced to eye movements with crying that require video polygraphy including muscular recording for identification as ictal events.2 For weeks the diagnosis may be misdiagnosed as gastrointestinal disturbance until an EEG is performed. Ictal EEG may consist of a diffuse high amplitude slow wave, electrodecrement or low amplitude fast activity, or even be combined with focal discharge. The distinction between spasms and myoclonic or brief tonic seizures may be difficult, particularly in very young infants. The interictal tracing, instead of showing a continuous and asynchronous high amplitude delta theta slow wave with spike activity indicating hypsarrhythmia, may demonstrate asymmetry, periodic flattening reminiscent of the suppression burst pattern, high amplitude fast or slow activity with few spikes, or even single or multifocal spike focus.3 Psychomotor delay may have preceded the onset of spasms or appear to be absent even after several weeks of seizures, and may range from speech delay to autistic behaviour.

Such diversity corresponds to the long list of possible causes that range from focal or multifocal, pre-, peri- or postnatal brain damage, to apparent lack of any structural lesion. Nevertheless, some correspondence has been established, for instance the high amplitude fast activity associated with lissencephaly4 or the “split-brain” pattern of Aicardi syndrome. However, although the clinical and EEG pattern is determined in part by the aetiology, the correspondence is far …
Neural Network Prediction of Air Stripping KLa (2002)

Design of air stripping packed towers used to remove volatile organic compounds requires an estimate of the overall mass transfer coefficient (KLa), which is frequently obtained via physically based parametric correlations. Parametric correlations have some shortcomings and produce predictions with relatively large deviations for full-scale, modern application of air stripping towers. In this study, neural network (NN) technology, a powerful new nonparametric approach, is used to analyze mass transfer characteristics in air stripping towers and to simulate KLa. A large database that is representative of current applications of air stripping towers was assembled for this analysis. The KLa predictions by neural networks were superior to both the Onda model [Onda, K., Takeuchi, H., and Okumoto, Y. (1968). “Mass transfer between gas and liquid phases in packed columns.” J. Chem. Eng. Jpn., 1, 56–62.] and an improved Onda model [Djebber, Y. and Narbaitz, R. M. (unpublished)], the best existing parametric models for air stripping applications. The average absolute error for the validation, as well as for the development data, were found to be less than 19%. The NN model was able to simulate the sudden increase in KLa at high gas loading rates. Also, it simulated more realistically the effect of the packing depth and liquid flow.
Transient Absorption Spectra and Reaction Kinetics of Singlet Phenylnitrene and Its 2,4,6-Tribromo Derivative in Solution (1997)

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTTransient Absorption Spectra and Reaction Kinetics of Singlet Phenylnitrene and Its 2,4,6-Tribromo Derivative in SolutionReto Born, Clemens Burda, Paul Senn, and Jakob WirzView Author Information Institut für Physikalische Chemie der Universität Basel, Klingelbergstrasse 80 CH-4056 Basel, Switzerland Cite this: J. Am. Chem. Soc. 1997, 119, 21, 5061–5062Publication Date (Web):May 28, 1997Publication History Received22 January 1997Published online28 May 1997Published inissue 1 May 1997https://doi.org/10.1021/ja970205gCopyright © 1997 American Chemical SocietyRequest reuse permissionsArticle Views529Altmetric-Citations55LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit Read OnlinePDF (73 KB) Get e-AlertscloseSUBJECTS:Absorption,Azides,Kinetic parameters,Light absorption,Photodissociation Get e-Alerts
Thermoanaerobacter ethanolicus Growth and Product Yield from Elevated Levels of Xylose or Glucose in Continuous Cultures (1991)

The performance of Thermoanaerobacter ethanolicus was evaluated in continuous culture with media containing concentrations of xylose (8 to 20 g/liter) greater than those previously reported. The ethanol yield declined from to 0.42 to 0.29 g of ethanol per g of xylose consumed when input xylose was increased from 4 to 20 g/liter. Yields of both total C(2) and C(3) products from consumed xylose and of cell biomass from ATP produced declined as the input xylose concentration was increased, which was not the case when glucose was the substrate. This suggested that yeast extract functioned as a significant energy and carbon source for cells in fermentations of xylose but not of glucose. The feasibility of this interpretation was confirmed by (i) the calculation of the products theoretically obtainable from yeast extract and (ii) the observation of significant quantities of fermentation products in inoculated sugar-free media. Markedly different patterns of metabolism for the two sugar substrates were also evidenced by the cell yield for glucose being twice that of xylose at elevated sugar concentrations. It was noted that caution must be exerted when results obtained at low xylose concentrations are extrapolated to predict those which can be obtained at higher concentrations.
Significant strain dependence of piezoelectric constants inInxGa1−xN/GaNquantum wells (2001)

Using hydrostatic pressure to modify the strain in ${\mathrm{In}}_{x}{\mathrm{Ga}}_{1\ensuremath{-}x}\mathrm{N}/\mathrm{G}\mathrm{a}\mathrm{N}$ quantum wells we show an almost twofold increase of the built-in piezoelectric field in the wells from 1.4 MV/cm at atmospheric pressure to 2.6 MV/cm at 8.7 GPa. An analysis in terms of the total strain generated by the pressure suggests that the increase in the field arises from a significant dependence of the piezoelectric constants on strain.
Hydrogénation de l’acide succinique en phase aqueuse pour l’obtention sélective du 1,4-butanediol (2018)

SSCI-VIDE+CDFA+MOA:MBE:NPR:CPI
Development Of Mix Design And Testing Procedures For Cold Patching Mixtures (2006)

The objective of this study is to address the use and performance of homemade and containerized patching maintenance mixtures for repairs in cold and wet weather. The Texas Department of Transportation (TxDOT) reported problems relating to the durability, workability, and shelf life of homemade patching mixtures under these conditions. TxDOT requires an improved mix design procedure to develop patching mixtures with a durability of at least 6 months that accounts for traffic volume. Various failure mechanisms pertaining to the use of cold patch mixtures were identified and current mix design, materials, performance evaluation, and field application procedures were assessed. Based on results from screening experiments, a preliminary mixture design procedure was developed. A laboratory experiment was developed to evaluate the performance of patching materials by investigating the influence of pertinent material characteristics, including gradation, aggregate type, binder viscosity and content, compaction temperature, curing time, and use of admixture. The materials selected for homemade mix design in the laboratory are consistent with those used by the Lubbock district in its homemade mix design. The Cold Patch Slump Test (CPST), a slump-based laboratory workability test, was developed to quantify workability for cold patch materials. It is an inexpensive and quick test and shows correlation between laboratory and field values. The Hamburg Wheel Tracking Device (HWTD) was used for stability testing on cold patch mix, which was first cured and then compacted at elevated temperatures. Indirect Tensile Strength (ITS) and stripping tests will be conducted on the homemade mixes. The initial field evaluation included six containerized medium-curing products, three homemade mixes made by district maintenance yards in the Lubbock district, and one commercially produced stockpile mix in Lufkin. The study area for the field evaluations is the Lubbock and Lufkin districts of TxDOT. The results of the field evaluation are still being collected and will be reported in the coming year. A preliminary evaluation of the effectiveness of various cold patching mix containers was also conducted and guidelines for further durability testing in the laboratory were developed.