gebhart/patrepeval huggingface dataset:
Design of survivable VPN based VoIP networks (2006)

This paper addresses the issue of survivable voice over IP (VoIP) network design. In the applied model the whole VoIP network is divided into two logical components: the access network and the transport network. The access network consists of VoIP end-points, which connect to the transport network through edge routers serving as gateways. Thus, one task of the design process is to assign gateways to the VoIP end-points. To assure security and availability for the VoIP traffic, a virtual private network (VPN) is assumed as transport network in this paper; therefore, the other task is to specify the transport VPN in the most economical way, while also taking the possible failures of transport network elements into consideration. Assuming a single failure at a time, the survivability of the VoIP network can be assured by assigning two gateways, namely a primary and a backup one, to each VoIP end-point, and calculating two disjoint paths between each pair of gateways. The two tasks of survivable VoIP network design can be solved separately; however, in this paper, a novel solution is proposed in which the edge router assignment process takes both the objective function of VPN specification and the issues of survivability into consideration. Multiple methods realizing the novel approach are presented, which are based on the paradigms of evolutionary algorithms and simulated annealing. The performance of the presented methods is evaluated with the help of simulations, using a well-known greedy algorithm as reference. It is shown that the proposed methods outperform the reference algorithm significantly in the simulation scenarios investigated.
Selective nature of phorbol 12-myristate 13-acetate-induced neoplastic transformation in NIH 3T3 cells. (1994)

The ability of phorbol 12-myristate 13-acetate (PMA) at 0.02 microgram/ml to induce neoplastic transformation in NIH 3T3 cells is highly dependent on the culture conditions. Optimal transformation, indicated by the saturation density and extent of focus formation in transferred cultures raised under standard conditions, was observed when the original cells were grown in 2% calf serum (CS) and exposed continually to PMA for at least 4 weeks before transfer into the assay. Transformation of stationary cultures in 10% CS occurred later and to a lesser degree than in 2% CS. The same cells subjected to thrice-weekly transfer in 2% or 10% CS at low cell density so that they were in a constant state of exponential growth exhibited no evidence of transformation in response to PMA. This strong condition-dependence of PMA-enhanced transformation is indicative of a selection process similar to that described for spontaneous transformation. In both cases, transformation is promoted by inhibiting multiplication and prevented by maximizing multiplication. Therefore, it has the earmarks of an epigenetic rather than a mutational process and requires phenotypic rather than genotypic variation to supply the states for selection. The concept of "progressive state selection," originally proposed to account for spontaneous transformation, can also account for PMA-enhanced transformation.
Microsurgical Technique for 1mm Vessel End to End Anastomosis (2014)

Watch this full-length, narrated surgical video of a Microsurgical Technique for 1mm Vessel End to End Anastomosis by Dr. Yelena Akelina at Columbia University Microsurgery Research and Training Laboratory.
Effect of nisin on the growth ofStaphylococcus aureus determined by a microcalorimetric method (2005)

A novel microcalorimetric technique based on the bacterial heat output was applied to evaluate the biological effect of nisin on the growth of Staphylococcus aureus. The thermogenic curves of S. aureus in the presence of nisin were studied by an LKB-2277 Thermal Activity Monitor. The thermokinetic parameters, such as the growth rate constant (k), the generation times (G), the inhibitory ratio (I), and the half inhibitory concentration (IC50), for the growth of S. aureus at different nisin concentrations were determined. The relationship between the growth rate constant (k) and the concentration of nisin (c) is nearly linear, which can be modeled by the formula k = 0.03794 - 4.005 x 10(-4) x c, with a correlation coefficient of -0.9971. Based on this model, we obtained the critical inhibitory concentration of nisin on the growth of S. aureus at 94.73 IU/mL. We proposed that this microcalorimetric method could be a useful tool in monitoring the biological effect of nisin on microorganisms, and providing valuable information on the study of microorganism metabolisms.
Effect of Exercise Intensity on Relationship between &OV0312;O2max and Cardiac Output (2004)

VO2max was not attained with the same central and peripheral factors in exhaustive exercises, and tlimDelta50 did not elicit the maximal Q. This might be taken into account if the training aim is to enhance the central factors of VO2max using exercise intensities eliciting VO2max but not necessarily Qmax.
Forensic devices for activism: Metadata tracking and public proof (2015)

The central topic of this paper is a mobile phone application, ‘InformaCam’, which turns metadata from a surveillance risk into a method for the production of public proof. InformaCam allows one to manage and delete metadata from images and videos in order to diminish surveillance risks related to online tracking. Furthermore, it structures and stores the metadata in such a way that the documentary material becomes better accommodated to evidentiary settings, if needed. In this paper I propose InformaCam should be interpreted as a ‘forensic device’. By using the conceptualization of forensics and work on socio-technical devices the paper discusses how InformaCam, through a range of interventions, rearranges metadata into a technology of evidence. InformaCam explicitly recognizes mobile phones as context aware, uses their sensors, and structures metadata in order to facilitate data analysis after images are captured. Through these modifications it invents a form of ‘sensory data forensics'. By treating data in this particular way, surveillance resistance does more than seeking awareness. It becomes engaged with investigatory practices. Considering the extent by which states conduct metadata surveillance, the project can be seen as a timely response to the unequal distribution of power over data.
A reconstituted, apolipoprotein A-I containing lipoprotein reduces tumor necrosis factor release and attenuates shock in endotoxemic rabbits. (1993)

A reconstituted lipoprotein, containing human apolipoprotein A-I and phosphatidylcholine (1:200, molar ratio), referred to as ApoLipo, was used prophylactically in an endotoxin shock model in anesthetized rabbits. ApoLipo was administered at a dose of 75 mg protein/kg body weight 15 min before the beginning of a slow, continuous lipopolysaccharide (LPS, endotoxin) infusion (4.17 micrograms LPS/kg/hr). During the 6 hr LPS infusion, the Control-LPS group manifested a marked increase in serum tumor necrosis factor (TNF, peak value 7.82 [2.7-11.2] ng/ml at 1 hr), and many of the pathophysiologic sequelae of endotoxin shock, including hypotension (MAP: 59 +/- 7 mmHg) and metabolic acidosis (BE: -9.9 +/- 2.7) at 3 hr, and a severe neutropenia developed rapidly (PMN count: 5 +/- 3% of baseline at 30 min). In the ApoLipo treated group, serum TNF levels did not rise during the course of LPS infusion (0.1 [0.06-0.64] ng/ml at 1 hr). Hypotension (77 +/- 2 mmHg) and acidosis (-2.7 +/- 0.4) were also significantly attenuated, and the appearance of leukopenia was delayed by 1 hr (110 +/- 12% at 30 min, but 9 +/- 2% at 2 hr). Endotoxemia in the ApoLipo treated group was reduced in comparison to controls, albeit nonsignificantly. The infusion of the same dose of phosphatidylcholine without apoA-I was significantly less efficacious.
Challenges and directions of ultra low energy wireless sensor nodes for biosignal monitoring (2012)

This paper discusses design challenges and strategies for aggressively increasing energy efficiency of biosignal monitoring sensors. For the holistic understanding of energy efficiency, we introduce Energy Efficiency metric for all sensor communication blocks which include not only Rx/Tx RF&Analog, PLL and DSP/Modem but also Antenna and Power Management. Based on the metric, an ultra-low energy sensor node design at 2.36~2.5GHz is addressed from RFIC, DSP/Modem to Antenna. To tackle the stringent power requirements, we theoretically revisit the technology, circuits, architecture and system and explore the cross-layer power minimization algorithm.
Tracking the evolution of the bacterial choline-binding domain: molecular characterization of the Clostridium acetobutylicum NCIB 8052 cspA gene (1995)

The major secreted protein of Clostridium acetobutylicum NCIB 8052, a choline-containing strain, is CspA (clostridial secreted protein). It appears to be a 115,000-M(r) glycoprotein that specifically recognizes the choline residues of the cell wall. Polyclonal antibodies raised against CspA detected the presence of the protein in the cell envelope and in the culture medium. The soluble CspA protein has been purified, and an oligonucleotide probe, prepared from the determined N-terminal sequence, has been used to clone the cspA gene which encodes a protein with 590 amino acids and an M(r) of 63,740. According to the predicted amino acid sequence, CspA is synthesized with an N-terminal segment of 26 amino acids characteristic of prokaryotic signal peptides. Expression of the cspA gene in Escherichia coli led to the production of a major anti-CspA-labeled protein of 80,000 Da which was purified by affinity chromatography on DEAE-cellulose. A comparison of CspA with other proteins in the EMBL database revealed that the C-terminal half of CspA is homologous to the choline-binding domains of the major pneumococcal autolysin (LytA amidase), the pneumococcal antigen PspA, and other cell wall-lytic enzymes of pneumococcal phages. This region, which is constructed of four repeating motifs, also displays a high similarity with the glucan-binding domains of several streptococcal glycosyltransferases and the toxins of Clostridium difficile.
Sulfostyrenes.<sup>1</sup> Preparation and Polymerization of Potassium p-Vinylbenzenesulfonate<sup>2</sup> (1954)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSulfostyrenes.1 Preparation and Polymerization of Potassium p-Vinylbenzenesulfonate2Richard H. Wiley, Newton R. Smith, and C. C. KettererCite this: J. Am. Chem. Soc. 1954, 76, 3, 720–723Publication Date (Print):February 1, 1954Publication History Published online1 May 2002Published inissue 1 February 1954https://doi.org/10.1021/ja01632a025RIGHTS & PERMISSIONSArticle Views363Altmetric-Citations22LEARN 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 (447 KB) Get e-Alerts Get e-Alerts
The Adipocyte Fatty Acid-binding Protein Binds to Membranes by Electrostatic Interactions (1999)

The adipocyte fatty acid-binding protein (AFABP) is believed to transfer unesterified fatty acids (FA) to phospholipid membranes via a collisional mechanism that involves ionic interactions between lysine residues on the protein surface and phospholipid headgroups. This hypothesis is derived largely from kinetic analysis of FA transfer from AFABP to membranes. In this study, we examined directly the binding of AFABP to large unilamellar vesicles (LUV) of differing phospholipid compositions. AFABP bound LUV containing either cardiolipin or phosphatidic acid, and the amount of protein bound depended upon the mol % anionic phospholipid. The K(a) for CL or PA in LUV containing 25 mol % of these anionic phospholipids was approximately 2 x 10(3) M(-1). No detectable binding occurred when AFABP was mixed with zwitterionic membranes, nor when acetylated AFABP in which surface lysines had been chemically neutralized was mixed with anionic membranes. The binding of AFABP to acidic membranes depended upon the ionic strength of the incubation buffer: >/=200 mM NaCl reduced protein-lipid complex formation in parallel with a decrease in the rate of FA transfer from AFABP to negatively charged membranes. It was further found that AFABP, but not acetylated AFABP, prevented cytochrome c, a well characterized peripheral membrane protein, from binding to membranes. These results directly demonstrate that AFABP binds to anionic phospholipid membranes and suggest that, although generally described as a cytosolic protein, AFABP may behave as a peripheral membrane protein to help target fatty acids to and/or from intracellular sites of utilization.
Effects of Second Step Curriculum on Behavioral and Academic Outcomes in 5th and 8th Grade Students: A Longitudinal Study on Character Development. (2016)

research
Estimation of Body Size by Combining Genetic Algorithm with Human Body Model (2017)

Estimation of body size using related dataset is one of the challenging tasks in modeling and simulation area. It has a wide range of utilization in many aspects in society including body modeling, designing clothes etc. It is necessary to extract feature data in body size measurement. Except ordinary data such as the body height, weight and chest size, the body surface area and volume were made up B-Spline surface shape model by linear combined with these data in this paper. Several control points were selected after using Genetic Algorithm (GA) to select best points in theses dataset, and mathematical model of estimating human body size was created. Experimental results indicated that this model has advantages of high efficiency and low error rates in estimating human body size.
Mammalian Tolloid Metalloproteinase, and Not Matrix Metalloprotease 2 or Membrane Type 1 Metalloprotease, Processes Laminin-5 in Keratinocytes and Skin (2003)

Laminin-5, a major adhesive ligand for epithelial cells, undergoes processing of its gamma2 and alpha3 chains. This study investigated the mechanism of laminin-5 processing by keratinocytes. BI-1 (BMP-1 isoenzyme inhibitor-1), a selective inhibitor of a small group of astacin-like metalloproteinases, which includes bone morphogenetic protein 1 (BMP-1), mammalian Tolloid (mTLD), mammalian Tolloid-like 1 (mTLL-1), and mammalian Tolloid-like 2 (mTLL-2), inhibited the processing of laminin-5 gamma2 and alpha3 chains in keratinocyte cultures in a dose-dependent manner. In a proteinase survey, all BMP-1 isoenzymes processed human laminin-5 gamma2 and alpha3 chains to 105- and 165-kDa fragments, respectively. In contrast, MT1-MMP and MMP-2 did not cleave the gamma2 chain of human laminin-5 but processed the rat laminin gamma2 chain to an 80-kDa fragment. An immunoblot and quantitative PCR survey of the BMP-1 isoenzymes revealed expression of mTLD in primary keratinocyte cultures but little or no expression of BMP-1, mTLL-1, or mTLL-2. mTLD was shown to cleave the gamma2 chain at the same site as the previously identified BMP-1 cleavage site. In addition, mTLD/BMP-1 null mice were shown to have deficient laminin-5 processing. Together, these data identify laminin-5 as a substrate for mTLD, suggesting a role for laminin-5 processing by mTLD in the skin.
Phase transitions in intermetallic compounds Ni-Mn-Ga with shape memory effect (1999)

The effect of a magnetic field on the formation of structural domains at martensitic transition in the intermetallic system Ni/sub 2+x/Mn/sub 1-x/Ga was studied. For the compositions x whose temperatures of structural and magnetic transitions are close this effect is most pronounced. In the field of 0.2 to 1 T the increase in the transition temperature is linear with the coefficient of 0.015 K/T. Estimates of the transition temperature shift based on thermodynamic calculations are in good agreement with the experimental data. It is shown that the switching on the magnetic field at some critical temperature induces partial transformation of austenite into martensite.
Fusion Research (I): What Is the Program Buying the Country? (1976)

The generalizations that fusion would be safer than fission, involve no dangerous radioactive materials, and rely on a cheap and plentiful fuel are potentially true. But it is pointed out that the type of fusion machine that the U.S. program is developing will deliver only some of these advantages. A gap is developing between what the fusion program appears to promise and what it is most likely to deliver. Fusion power would not be infinitely abundant, because the present reactors rely on a fuel cycle that must have lithium, and lithium is not particularly more abundant than the /sup 238/U that would fuel the breeder reactor. Fusion power would not be free of radioactive gases because the lithium would be used to breed tritium--a gas more benign than fission products but one that is hard to contain. The fusion reactor would not be free of waste disposal problems, even though the ''spent fuel'' would be nonradioactive, because the burning of the fuel would produce approximately four times as many neutrons as a fission reactor, and such a neutron flux would make all the structural materials of the reactor intensely radioactive--one estimate of the waste disposal problem is at least 250more » tons of material every year from each reactor. Finally, fusion power would not be cheap. The greatest potential advantages of fusion occur with advanced fuel cycles which include deuterium with deuterium; deuterium with helium-3; helium-3 with helium-3; and hydrogen with boron. Fusion with these fuels could be a clean process, but most research is directed toward fusion of deuterium and tritium. The funding of the program in the U.S. has seen the magnetic fusion budget exploding from $38 million in 1973 to $279 million in 1977. A second article will clarify the properties of various types of fusion reactors. (MCW)« less
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. (2017)

There is a pressing need to build an architecture that could subsume these networks undera unified framework that achieves both higher performance and less overhead. To this end, two fundamental issues are yet to be addressed. The first one is how to implement the back propagation when neuronal activations are discrete. The second one is how to remove the full-precision hidden weights in the training phase to break the bottlenecks of memory/computation consumption. To address the first issue, we present a multistep neuronal activation discretization method and a derivative approximation technique that enable the implementing the back propagation algorithm on discrete DNNs. While for the second issue, we propose a discrete state transition (DST) methodology to constrain the weights in a discrete space without saving the hidden weights. In this way, we build a unified framework that subsumes the binary or ternary networks as its special cases.More particularly, we find that when both the weights and activations become ternary values, the DNNs can be reduced to gated XNOR networks (or sparse binary networks) since only the event of non-zero weight and non-zero activation enables the control gate to start the XNOR logic operations in the original binary networks. This promises the event-driven hardware design for efficient mobile intelligence. We achieve advanced performance compared with state-of-the-art algorithms. Furthermore,the computational sparsity and the number of states in the discrete space can be flexibly modified to make it suitable for various hardware platforms.
Pathophysiology of Degenerative Disc Disease (2009)

The intervertebral disc is characterized by a tension-resisting annulus fibrosus and a compression-resisting nucleus pulposus composed largely of proteoglycan. The most important function of the annulus and nucleus is to provide mechanical stability to the disc. Degenerative disc disease in the lumbar spine is a serious health problem. Although the three joint complex model of the degenerative process is widely accepted, the etiological basis of this degeneration is poorly understood. With the recent progress in molecular biology and modern biological techniques, there has been dramatic improvement in the understanding of aging and degenerative changes of the disc. Knowledge of the pathophysiology of the disc degeneration can help in the appropriate choice of treatment and to develop tissue engineering for biological restoration of degenerated discs.
Answer set programming as the basis for a Homeland Security QAS (2005)

In this paper we discuss the applicability of the knowledge representation and reasoning language AnsProlog (Answer Set Programming) for the design and implementation of a query answering system (QAS) for homeland security. We discuss our work to date on using AnsProlog to axiomatize the travel domain. We illustrate how it can be used to represent defaults, causal relations, and other types of commonsense knowledge needed to properly answer non-trivial questions about this domain.
A new feedforward neural network hidden layer neuron pruning algorithm (2002)

This paper deals with a new approach to detect the structure (i.e. determination of the number of hidden units) of a feedforward neural network (FNN). This approach is based on the principle that any FNN could be represented by a Volterra series such as a nonlinear input-output model. The new proposed algorithm is based on the following three steps: first, we develop the nonlinear activation function of the hidden layer's neurons in a Taylor expansion, secondly we express the neural network output as a NARX (nonlinear autoregressive with exogenous input) model and finally, by appropriately using the nonlinear order selection algorithm proposed by Kortmann-Unbehauen (1988), we select the most relevant signals on the NARX model obtained. Starting from the output layer, this pruning procedure is performed on each node in each layer. Using this new algorithm with the standard backpropagation (SBP) and over various initial conditions, we perform Monte Carlo experiments leading to a drastic reduction in the nonsignificant network hidden layer neurons.
A visualization concept for hierarchical object models (2002)

Most current object modeling methods and tools have weaknesses both in the concepts of hierarchical decomposition and in the visualization of these hierarchies. Some methods do not support hierarchical decomposition at all. Those methods which do employ tools that provide explosive zoom as the only means for the visualization of hierarchies. The authors present an approach for the visualization of hierarchical object models based on the notion of fisheye views. This concept integrates local detail and global context of a view in the same diagram and eases navigation in hierarchical structures without offending the principle of abstraction. The work is part of an effort to create a method and language called ADORA that provides strong support for hierarchical decomposition.