gebhart/patrepeval huggingface dataset:
Link prediction in multiplex online social networks (2017)

Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.
Isomerization of Tri-alkyl Phosphites (1944)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIsomerization of Tri-alkyl PhosphitesGennady M. KosolapoffCite this: J. Am. Chem. Soc. 1944, 66, 1, 109–111Publication Date (Print):January 1, 1944Publication History Published online1 May 2002Published inissue 1 January 1944https://doi.org/10.1021/ja01229a031RIGHTS & PERMISSIONSArticle Views329Altmetric-Citations21LEARN 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 PDF (349 KB) Get e-Alertsclose Get e-Alerts
Plasma MBE growth conditions of AlGaN/GaN high-electron-mobility transistors on silicon and their device characteristics with epitaxially regrown ohmic contacts (2014)

Silicon substrates offer an attractive substrate platform for GaN RF and power electronics. In this work, we address the key challenges and provide solutions for the RF-MBE growth of GaN high-electron-mobility transistors (HEMTs) on Si(111). Moreover, by developing low-leakage buffer layers and employing raised source/drain regrown ohmic contacts, high-performance HEMTs are realized at a significantly lower process temperature by plasma MBE than by MOCVD. This is expected to motivate further ideas for the integration of GaN with silicon that go beyond RF and power electronics into the regime of low-power digital logic by exploiting the unique polarization properties of GaN.
Inclusion of serum marker measurements from a previous pregnancy improves Down syndrome screening performance (1998)

A predisposition for high or low levels of serum marker concentrations in second trimester Down syndrome screening reflecting itself in consecutive pregnancies in the same woman has been demonstrated, but hitherto the possible effect of including previous marker results in a current risk evaluation has been considered negligible. Using published data on correlations between the markers AFP, hCG and uE3 in different normal pregnancies in the same women and age-related a priori probabilities we found, that in triple marker screening the inclusion of results from a previous pregnancy in a likelihood ratio based risk calculation could increase the detection rate for women having had an earlier pregnancy from 68·0 per cent to 70·2 per cent at a risk cut-off=1:250. The screen positive rate for normals for the same population of women, being on average older than the total population, fell from 7·1 per cent to 6·8 per cent. These figures, that are based on an assumption of the same correlations between one normal and one Down syndrome pregnancy as between two normal pregnancies, corresponds to an expected reduction, in the population considered, of the number of children born with Down syndrome of 6·7 per cent and of the number of screen positive normals of 4·7 per cent. Considering that this can be achieved at no extra cost, it is concluded that implementation of a procedure for taking information from previous pregnancies into account in second trimester screening should be considered at centres that can handle the software problems involved in doing so. However, better data on the correlations between a normal and a subsequent Down syndrome pregnancy in the same woman should probably be awaited before this is done. © 1998 John Wiley & Sons, Ltd.
Dynamic Change Management for Fast-Tracking Construction Projects (2002)

Dynamic Change Management for Fast-Tracking Construction Projects M. Park Pages 81-89 (2002 Proceedings of the 19th ISARC, Washington, USA, ISSN 2413-5844) Abstract: Uncertainties make construction dynamic and unstable, mostly by creating non value-adding change iterations among construction processes. Particularly, when a project is fast-tracked without proper planning, those change iterations can cause the disruption of the construction process. For this reason, to effectively handle fast-tracking change iterations involved in fast-tracking need to be identified, and the dynamic behavior of construction resulting from those change iterations must be dealt with in a systematic manner. As an effort to address some of these challenging issues in fast-tracking construction, this research paper identifies different change iteration cycles involved in fast-tracking construction and observes the characteristics and behavior patterns of change. All of research findings are incorporated into a cohesive system dynamics model and the model simulation confirms that managerial decisions on change or rework should be made based on the proper assessment of their tradeoff. In addition, a case study of highway and bridge construction projects shows the potential of how fast-tracking construction can benefit from dynamic change management in real world settings. Keywords: Change, Fast-tracking, Feedback, Rework, Simulation, System Dynamics DOI: https://doi.org/10.22260/ISARC2002/0013 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Detoxification of olive mill wastewater using superabsorbent polymers (2004)

The detoxification of agro-industrial effluents using superabsorbent polymers is a new and innovative process. Olive mill wastewater constitutes a major environmental problem in Mediterranean countries due to the large volumes generated, the seasonality of the industry, and the high content of polyphenols and organic matter. The application of superabsorbent polymers allows olive mill wastewater to be used as a fertilizer, as it is immobilized, increasing the biological activity that decreases its phytotoxicity, thus making its water, organic matter and mineral content usable for plant nutrition. Various parameters that characterise olive mill wastewater were evaluated after absorption in 2 different superabsorbent polymers (SAP1 and SAP2). The organic matter was equally distributed in both phases, while there was a concentration of protein and sodium in solution. The K:Na ratio decreased from 70:1 to 2:1. The polyphenol desorption from the gel into solution was found to follow Fick's law. The mass transfer coefficients were 0.147 min(-1) and 0.0085 min(-1) for SAP1 and SAP2, respectively. Phytotoxicity tests were carried out with SAP2. Olive mill wastewater in SAP2 with polyphenol concentrations up to 200 mg l(-1) revealed no phytotoxicity, and even stimulated Lepidium sativum growth, while olive mill wastewater without superabsorbent polymer revealed growth inhibition for all concentrations tested. Caffeic acid degradation by the immobilised biomass followed zero order kinetics. Degradation constants of 0.087 mg l(-1) min(-1) gSAP2(-1) and 1.156 mg l(-1) min(-1) gSAP2(-1) were found. Fungi that developed in the plant growth medium were identified as Aspergillus sp. and Penicillium sp.
Synthesis of 1-N-ethylsisomicin: a broad-spectrum semisynthetic aminoglycoside antibiotic (1976)

Site-selective reductive N-alkylation of aminoglycoside antibiotics related to gentamicin is described and the structure of the products and of related compounds is unambiguously established using circular dichroism and mass spectrometry.
Contralateral Neuropathic Pain and Neuropathology in Dorsal Root Ganglion and Spinal Cord Following Hemilateral Nerve Injury in Rats (2008)

These results suggest that contralateral mechanical allodynia induced by hemilateral spinal nerve injury is associated with upregulation of satellite cells and TNF-alpha in the contralateral DRG. In addition, our results suggest that spinal astrocytes play an important role in these contralateral changes.
What You Mark is What Apps See (2016)

Users are increasingly vulnerable to inadvertently leaking sensitive information through cameras. In this paper, we investigate an approach to mitigating the risk of such inadvertent leaks called privacy markers. Privacy markers give users fine-grained control of what visual information an app can access through a device's camera. We present two examples of this approach: PrivateEye, which allows a user to mark regions of a two-dimensional surface as safe to release to an app, and WaveOff, which does the same for three-dimensional objects. We have integrated both systems with Android's camera subsystem. Experiments with our prototype show that a Nexus 5 smartphone can deliver near realtime frame rates while protecting secret information, and a 26-person user study elicited positive feedback on our prototype's speed and ease-of-use.
Interpolation Consistency Training for Semi-supervised Learning (2019)

We introduce Interpolation Consistency Training (ICT), a simple and computation efficient algorithm for training Deep Neural Networks in the semi-supervised learning paradigm. ICT encourages the prediction at an interpolation of unlabeled points to be consistent with the interpolation of the predictions at those points. In classification problems, ICT moves the decision boundary to low-density regions of the data distribution. Our experiments show that ICT achieves state-of-the-art performance when applied to standard neural network architectures on the CIFAR-10 and SVHN benchmark datasets. Our theoretical analysis shows that ICT corresponds to a certain type of data-adaptive regularization with unlabeled points which reduces overfitting to labeled points under high confidence values.
Segmentedk-space fast cardiac imaging using an echo-train readout (1999)

A segmented k-space fast gradient-echo pulse sequence with an echo-train readout (FGRE-ET) was developed for high-quality cine imaging of the heart in reduced scan times. Using segmented FGRE-ET, cine images of the heart can be acquired in as few as 1-5 heart beats and do not display the geometric distortion and flow-related artifacts typically associated with cardiac echoplanar imaging (EPI). Segmented FGRE-ET was compared with conventional segmented FGRE and with conventional multi-phase EPI in normal volunteers. Segmented FGRE-ET was found to have reduced temporal blurring compared with segmented FGRE for cine imaging in 4 heart beats (P<0.05). Also, segmented FGRE-ET did not display geometric distortion characteristic of conventional EPI (P<0.05). Segmented FGRE-ET may be particularly applicable to functional cardiac stress testing because it allows versatile cine imaging in very short breath-holds.
OPTIMIZING THE OIL EXTRACTION/WATER ADSORPTION STEP IN SEQUENTIAL EXTRACTION PROCESSING OF CORN (2002)

The Sequential Extraction Process (SEP) uses ethanol to extract oil and protein from cracked, flaked, and driedcorn, and the corn simultaneously dehydrates the ethanol. The optimum conditions to reduce zein extraction in the oilextraction/water adsorption step of SEP involved a singlepass system using 15 length/diameter ratio extraction cells, 30%hexanes:70% ethanol, and 56C extraction temperature, which improved the efficiencies of oil extraction from the corn andmoisture adsorption from the ethanol. The extract contained only 0.1% protein in the desolventized solids. The moisturecontent of the solvent was reduced to 1.03%, and the residual oil content of the corn was 0.18%. Oil recovery was improvedfrom 90.8% to 95.5%. The countercurrent laboratory extraction system confirmed that using 30% hexanes:70% ethanol at56C in a singlepass system reduced zein coextraction with oil while increasing oil extraction and moisture adsorption.
Multiple-Frequency EPR Spectra of Two Aqueous Gd<sup>3+</sup>Polyamino Polypyridine Carboxylate Complexes:  A Study of High Field Effects (2007)

In the search for highly efficient magnetic resonance imaging contrast agents, polyamino polypyridine carboxylate complexes of Gd3+ have shown unusual properties with both very rapid and very slow electron spin relaxation in solution observed by electron paramagnetic resonance. Since the relationship between the molecular structure and the electron spin properties remains quite obscure at this point, detailed studies of such complexes may offer useful clues for the design of Gd3+ compounds with tailored electronic features. Furthermore, the availability of very high-frequency EPR spectrometers based on quasi-optical components provides us with an opportunity to test the existing relaxation theories at increasingly high magnetic fields and observation frequencies. We present a detailed EPR study of two gadolinium polyamino polypyridine carboxylate complexes, [Gd(tpaen)]- and [Gd(bpatcn)(H2O)], in liquid aqueous solutions at multiple temperatures and frequencies between 9.5 and 325 GHz. We analyze the results using the model of random zero-field splitting modulations through Brownian rotation and molecular deformations. We consider the effect of concentration on the line width, as well as the possible existence of an additional g-tensor modulation relaxation mechanism and its possible impact on future experiments. We use (17)O NMR to characterize the water exchange rate on [Gd(bpatcn)(H2O)] and find it to be slow (approximately 0.6 x 10(6) s-1).
Texture classification using dual-tree complex wavelet transform (1999)

A new texture feature extraction method utilizing the dual-tree complex wavelet transform (DT-CWT) is introduced. The complex wavelet transform is a tool that uses a dual tree of wavelet filters to find the real and imaginary parts of complex wavelet coefficients. The approximate shift invariance, good directional selectivity, and computational efficiency properties of the DT-CWT make it a good candidate for representing the texture features. We propose a method for efficiently using the properties of the DT-CWT in finding the directional and spatial/frequency characteristics of the patterns and classifying different texture patterns in terms of these characteristics. Experimental results show that the proposed feature extraction and classification method is efficient in terms of the computational speed and retrieval accuracy.
Remote meter reading, load control and distribution system automation utilising SWD technology (1990)

The authors discuss the application of sequential waveform distortion (SWD) technology and products in the power system. The main features of the SWD system are: remote meter reading and load control of individual customers; automatic electricity fraud detection; automatic customer load surveys; integration of remote water and gas meter reading; control and monitoring of distribution system automation devices, such as regulators, reclosers, shunt capacitor, and protection devices; and vast feeder and customer database management. Also covered is an indication of the economics of implementing distribution system automation (DSA), in terms of potential cost savings or new revenue sources possible. >
A rule driven bi-directional translation system for remapping queries and result sets between a mediated schema and heterogeneous data sources. (2002)

As the number of online biomedical data sources increases, so too do the number of ways to access such data. The research described herein focuses on creating a data access system that provides bi-directional translation and mapping of data between heterogeneous databases and a mediated schema. Semantic mapping rules stored in a knowledge base are used by our generalized software to convert XML query results obtained from each data source to a common schema representing a single ontology. We apply this approach to the domain of online genetic databases, demonstrating the system's scalability and integratability.
Face recognition in the presence of multiple illumination sources (2005)

Most existing face recognition algorithms work well for controlled images but are quite susceptible to changes in illumination and pose. This has led to the rise of analysis-by-synthesis approaches due to their inherent potential to handle these external factors. Though these approaches work quite well, most of them assume that the face is illuminated by a single light source which is usually not true in realistic conditions. In this paper, we propose an algorithm to recognize faces illuminated by arbitrarily placed, multiple light sources. The algorithm does not need to know the number of light sources and works extremely well even while recognizing faces illuminated by different number of light sources. Results using this algorithm are reported on multiple-illumination datasets generated from PIE by T. Sim, et al. (2003) and Yale Face Database B by W. Zhao, et al. (2003). We also highlight the importance of the hard non-linearity in the Lambert's law which is often ignored, probably to linearize the estimation process
Optical fiber temperature sensor based on wavelength-dependent detection (2004)

Semiconductor fiber temperature sensors have been used widely in many fields, but most of them pick up temperature by measuring the optical intensity of certain fixed narrow-band in absorption spectrum. Furthermore, they are sensitive to the loss of optical intensity and the fluctuation of light source power. The novel temperature measurement system proposed in this paper is based on the semiconductor absorption theory and the spectral analysis of method. To measure temperature, the sensor model detects not the certain narrow-band spectrum but the most spectra of the optical absorption edge. Therefore the measurement accuracy and the stability can be improved greatly. Experimental results are in agreement with theoretical analysis results perfectly.
Lipid levels in sperm, eggs, and during fertilization in Xenopus laevis (2008)

Critical developmental periods, such as fertilization, involve metabolic activation, membrane fusion events such as sperm-egg or plasma membrane-cortical granule merger, and production and hydrolysis of phospholipids. However, there has been no large-scale quantification of phospholipid changes during fertilization. Using an enzymatic assay, traditional FA analysis by TLC and gas chromatography, along with a new method of phospholipid measurement involving HPLC separation and evaporative light-scattering detection, we report lipid levels in eggs, sperm, and during fertilization in Xenopus laevis. Sperm were found to contain different amounts of phospholipids as compared with eggs. During fertilization, total phosphatidylinositol, lysophosphatidylcholine, sphingomyelin, and phosphatidylserine decreased, and ceramide increased, whereas there was no change in phosphatidylcholine, cardiolipin, or phosphatidylethanolamine. FA analysis of phospholipids found numerous changes during fertilization. Because there is an increase in sn-1,2-diacylglycerol at fertilization, the FAs associated with this increase and the source of the increase in this neutral lipid were examined. Finally, activation of phospholipase C, phospholipase D, phospholipase A2, autotoxin, and sphingomyelinase at fertilization is discussed.
Finding aggregate proximity relationships and commonalities in spatial data mining (1996)

Studies two spatial knowledge discovery problems involving proximity relationships between clusters and features. The first problem is: given a cluster of points, how can we efficiently find features (represented as polygons) that are closest to the majority of points in the cluster? We measure proximity in an aggregate sense due to the nonuniform distribution of points in a cluster (e.g. houses on a map), and the different shapes and sizes of features (e.g. natural or man-made geographic features). The second problem is: given n clusters of points, how can we extract the aggregate proximity commonalities (i.e. features) that apply to most, if not all, of the n clusters? Regarding the first problem, the main contribution of the paper is the development of Algorithm CRH (Circle, Rectangle and Hull), which uses geometric approximations (i.e. encompassing circles, isothetic rectangles and convex hulls) to filter and select features. The highly scalable and incremental Algorithm CRH can examine over 50,000 features and their spatial relationships with a given cluster in approximately one second of CPU time. Regarding the second problem, the key contribution is the development of Algorithm GenCom (Generalization for Commonality extraction) that makes use of concept generalization to effectively derive many meaningful commonalities that cannot be found otherwise.
The role of MAPK in Kupffer cell toll‐like receptor (TLR) 2‐, TLR4‐, and TLR9‐mediated signaling following trauma‐hemorrhage (2006)

Severe injury deranges immune function and increases the risk of sepsis and multiple organ failure. Kupffer cells play a major role in mediating posttraumatic immune responses, in part via different Toll-like receptors (TLR). Although mitogen-activated protein kinases (MAPK) are key elements in the TLR signaling pathway, it remains unclear whether the activation of different MAPK are TLR specific. Male C3H/HeN mice underwent midline laparotomy (i.e., soft tissue injury), hemorrhagic shock (MAP approximately 35 mm Hg for 90 min), and resuscitation. Kupffer cells were isolated 2 h thereafter, lysed and immunoblotted with antibodies to p38, ERK1/2, or JNK proteins. In addition, cells were preincubated with specific inhibitors of p38, ERK1/2, or JNK MAPK followed by stimulation with the TLR2 agonist, zymosan; the TLR4 agonist, LPS; or the TLR9 agonist, CpG DNA. Cytokine (TNF-alpha, interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), and KC) production was determined by cytometric bead array after 24 h in culture. MAPK activity as well as TNF-alpha, MCP-1, and KC production by Kupffer cells were significantly increased following trauma-hemorrhage. TLR4 activation by LPS stimulation increased the levels of all measured cytokines. CpG-stimulated TLR9 signaling increased TNF-alpha and IL-6 levels; however, it had no effect on chemokine production. Selective MAPK inhibition demonstrated that chemokine production was mediated via p38 and JNK MAPK activation in TLR2, -4, and -9 signaling. In contrast, TNF-alpha and IL-6 production was differentially regulated by MAPK depending on the TLR pathway stimulated. Thus, Kupffer cell TLR signaling employs different MAPK pathways in eliciting cytokine and chemokine responses following trauma-hemorrhage.