Miracle-dz/UniFAR-FTUs huggingface dataset:
Gentamicin-Adenylyltransferase Activity as a Cause of Gentamicin Resistance in Clinical Isolates of Pseudomonas aeruginosa

Gentamicin adenylyltransferase activity was found in extracts of clinical isolates of gentamicin-resistant Pseudomonas aeruginosa. Extracts of one of these isolates, P. aeruginosa POW, inactivated gentamicin in the presence of adenosine 5′-triphosphate. Extracts of strain POW catalyzed the binding of radioactivity from [14C]adenine adenosine 5′-triphosphate to gentamicin components, tobramycin, sisomicin, kanamycin A and B and, to a variable degree, streptomycin and spectinomycin. The substrate profile with these agents and other aminocyclitols was similar to that obtained with R factor-mediated gentamicin adenylyltransferase found in Enterobacteriaceae. Adenylylating activity was absent in gentamicin-susceptible mutants of strain POW. Adenylylation may be added to acetylation as an enzymatic mechanism responsible for gentamicin resistance among strains of P. aeruginosa.
An Enhanced Scheme for Hiding Text in Wave Files

Steganography is a term applied to any number of processes that embed an object into another object in order to deceive any observer or adversary. An embedding algorithm for hiding messages into wave files or audio signals is proposed here. It a spatial domain type that implement least significant bit (LSB) process and represents a jumping algorithm technique.
Price Matching Guarantees and Collusion: Theory and Evidence from Germany

On May 27, 2015, the Shell network of gas stations in Germany introduced a Price Matching Guarantee (PMG) available to its card-carrying members. In the ensuing weeks, a series of attempts at tacit collusion took place, typically with stations increasing prices at around 12 noon by 3 cents. In this paper, we argue that the juxtaposition of these two events is not a mere coincidence. We first present a theoretical model to argue that a PMG can be a collusion enacting practice. We then test various predictions of our theoretical model. Our source of identification is geographical variation in the presence of Shell stations (the chain that enacted the PMG) as well consumer demographics. Our empirical tests are consistent with the theoretical predictions, showing effects that are both statistically and economically significant.
Alcohol abuse disorder prevalence and its distribution across Portugal. A disease mapping approach

• Disease mapping is linked to two other scientific areas: small area estimation and ecological-spatial regression. This paper reviews similarities and differences among them. Bayesian hierarchical models are typically used in this context, using a combination of covariate data and a set of spatial random effects to represent the risk surface. The random effects are typically modeled by a conditional autoregressive prior distribution, and a number of alternative specifications have been proposed in the literature. The four models assessed here are applied to a study on alcohol abuse in Portugal, using data collected by the World Mental Health Survey Initiative.
Microgrid Resource Management System using Fuzzy Logic Controller ( FLC )

In this paper, an intelligent and efficient Fuzzy logic controller (FLC) based algorithm is developed for the islanded Micro grid comprising of solar, wind, fuel cell and battery. The intermittent nature of the renewable sources in the microgrid makes the system as dependent with the conventional grid. The algorithm is developed for the optimum usage of the sources that can satisfy the load demand in an efficient manner and reducing the usage of grid operation. The fuzzy logic controller (FLC) is used to maintain the DC bus link voltage at the required level. Keywords—Microgrid, Power Management, Fuzzy logic controller (FLC), optimum utilization.
Spring 5-29-2015 Generating Domain-Specific Dictionaries using Bayesian Learning

This paper aims to operationalize subjective information processing in financial news disclosures. In order to measure news tone, previous research commonly utilizes manually-selected positive and negative word lists, such as the Harvard-IV psychological dictionary. However, such dictionaries may not be suitable for the domain of financial news because positive and negative entries could have different connotations in a financial context. To overcome the problem of words that are selected ex ante, we incorporate several Bayesian variable selection methods to select the relevant positive and negative words from financial news disclosures. These domain-specific dictionaries outperform existing dictionaries in terms of both their explanatory power and predictive performance, resulting in an improvement of up to 93.25 % in the correlation between news sentiment and stock market returns. According to our findings, the interpretation of words strongly depends on the context and managers need to be cautious when framing negative content using positive words.
Simulation optimization for an age-based vaccines distribution strategy against the spread of influenza epidemic

Through a small world complex network simulation epidemic lifespan of the influenza virus outbreak is analyzed considering an age-based vaccines distribution preference. Mexico ́s City population was divided in three different groups: • all children aged 4-12 years; • persons aged 2-64 with underlying chronic medical conditions; • adults aged 65 years and
Algorithm for solving fluid-structure interaction problem numerically : application to cerebral aneurysm

This paper deals with a inconditional semi-implicit algori thm for solving fluid-structure interaction problem numerically holding in cerebral aneurysm. At e ach time step, an optimization problem is solved by partitioned procedure, in order to get the conti nuity of stress as well as the continuity of velocity at the interface. Numerical results are presented .
Secrecy in the two-way untrusted relay channel with compute-and-forward

We consider the problem of secure communications in a Gaussian two-way relay channel applying the compute-and-forward scheme using nested lattice codes. Two nodes employ half-duplex operation and can exchange confidential messages only via an untrusted relay. The relay is assumed to be honest but curious, i.e., an eavesdropper that conforms to the system rules and applies the intended relaying scheme. We provide an achievable secrecy rate region under a weak secrecy criterion and provide the proof. We show that the achievable sum secrecy rate is equivalent to the difference between the computation rate and the multiple access channel (MAC) capacity. Particularly, we show that both the nodes must encode their messages such that the common computation rate pair falls outside the MAC capacity region of the relay.
1 OROGRAPHIC EFFECTS ON TRACK DEFLECTION OF IDEALIZED TROPICAL CYCLONES

The interactions between tropical cyclones (TCs) and mesoscale mountain ranges have been studied extensively in the past 2-3 decades. Examples are like typhoons interacting with Taiwan’s Central Mountain Range and the Cordillera Central of northern Luzon in Philippines (e.g., Chang 1982; Yeh and Elsberry 1993a,b; Lin et al. 2005; see Ch. 5 of Lin 2007 for a brief review) and hurricanes interacting with the southern-central Appalachians (Harville 2009), the Cordillera Central of Hispaniola (Bender et al. 1987), and the Sierra Madre of Mexico (Zehnder 1993; Zehnder and Reeder 1997). However, some fundamental dynamics of TCs over mesoscale mountain ranges are still not well understood. This study uses idealized simulations to improve our understanding of dynamical and physical processes influenced by orography, similar to those of Lin et al. (1999, 2005) and Lin and Savage (2011) but with the inclusion of moisture and planetary boundary layer.
FDTD analysis of several terahertz devices using surface plasmon polariton waves

Two terahertz (THz) devices are analyzed using the FDTD method. One is a THz surface wave splitter using a metal disc with radially placed gratings. It is shown that the disc acts as a bi-directional frequency splitter, the frequency of which depends on grating structures. The other is a surface plasmon resonance (SPR) waveguide sensor in the THz regime, in which an InSb layer is adopted for the sensing section. The SPR response versus frequency is calculated and discussed.
Detective Mining: Selfish Mining Becomes Unrealistic under Mining Pool Environment

One of Bitcoins core security guarantees is that, for an attacker to be able to successfully interfere with the Bitcoin network and reverse transactions, they need to control 51% of total hash power. Eyal et al., however, significantly reduces Bitcoins security guarantee by introducing another type of attack, called “Selfish Mining”. The key idea behind selfish mining is for a miner to keep its discovered blocks private, thereby intentionally forking the chain. As a result of a selfish mining attack, even a miner with 25% of the computation power can bias the agreed chain with its blocks. After Eyal’s original paper, the concept of selfish mining has been actively studied within the Bitcoin community for several years. This paper studies a fundamental problem regarding the selfish mining strategy under the existence of mining pools. For this, we propose a new attack strategy, called “Detective Mining”, and show that selfish mining pool is not profitable anymore when other miners use our strategy. Keywords—Blockchain, Bitcoin, Selfish mining, Mining pool, Security analysis
Incorporation of Site-Specific Attenuation Model using Kappa in Broadband Simulations

This research aims to develop a physics-based, source-to-site simulation of ground motions for the site response matching both surface and downhole seismograms at the Wildlife Liquefaction Array (WLA) in Southern California. Since attenuation parameters are an essential part of the continuum model and greatly affect the response of an earthquake, this study is focused on determining a site-specific Q profile at WLA. The exponential decay observed at high frequencies in the Fourier spectrum of a seismic record is characterized with the parameter kappa. The spatial variation of kappa, consistent with spatial variation of Q, estimated from ground motion records at different depths at the WLA site, allows us to estimate lateral and vertical Q profiles. The final profiles, evaluated for Qp and Qs separately, are used in synthetic ground motion simulations based on Composite Source Model since this model retains a full wave propagation solution at high frequencies. Finally, we compare the simulation results obtained using site specific attenuation as well as a generic Q-model, with observed records, note the difference in responses, and discuss the results. Graduate Student Researcher, Dept. of Civil Engineering, University of Nevada, Reno NV-89557 (email: swasti@nevada.unr.edu) Professor, Dept. of Geological Sciences and Engineering, University of Nevada, Reno NV-89557 (email: jga@seismo.unr.edu) Assistant Professor, Dept. of Civil and Environmental Engineering, University of Nevada, Reno NV-89557 (email: motamed@unr.edu) Saxena S, Anderson J, Motamed R. Incorporation of site-specific attenuation model using kappa in Broadband Simulations. Proceedings of the 11 National Conference in Earthquake Engineering, Earthquake Engineering Research Institute, Los Angeles, CA. 2018. Eleventh U.S. National Conference on Earthquake Engineering Integrating Science, Engineering & Policy June 25-29, 2018 Los Angeles, California Incorporation of Site-Specific Attenuation Model using Kappa in Broadband Simulations S. Saxena, J. Anderson, R. Motamed
Long Non-Coding RNA NONHSAT076754 Promotes Invasion and Metastasis in Epithelial Ovarian Cancer

Although accumulating evidence suggests that long non-coding RNAs (lncRNAs) are critical determinants of ovarian cancer development and progression, reports of metastasis-associated lncRNAs are limited. Here, we focused on NONHSAT076754 and explored its expression level, clinical value, biological behavior and molecular basis in epithelial ovarian cancer (EOC) metastasis. The results showed that NONHSAT076754 expression was increased in EOC tissues and cell lines and that this expression was closely related with FIGO stage, high tumor grade and lymph node metastasis. Furthermore, NONHSAT076754 knockdown markedly inhibited EOC cell migration and invasion in vitro. Consistently, the in vivo data from both the bioluminescence imaging and tumor dissection revealed that depletion of NONHSAT076754 reduced EOC metastasis. Mechanically, the pro-metastatic activities of NONHSAT076754 were partially regulated by PTEN and HTATIP2. Further rescue assays validated that knockdown of HTATIP2 remarkably reversed NONHSAT076754 silencer-induced inhibition of EOC cell metastasis. These data indicate that NONHSAT076754 is a vital regulator of EOC metastasis, laying the foundation for lncRNA-based clinical management of EOC aggressiveness and metastasis.
Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks

The activation function used to transform the activation level of a unit (neuron) into an output signal. There are a number of common activation functions in use with artificial neural networks (ANN). The most common choice of activation functions for multi layered perceptron (MLP) is used as transfer functions in research and engineering. Among the reasons for this popularity are its boundedness in the unit interval, the function’s and its derivative’s fast computability, and a number of amenable mathematical properties in the realm of approximation theory. However, considering the huge variety of problem domains MLP is applied in, it is intriguing to suspect that specific problems call for single or a set of specific activation functions. The aim of this study is to analyze the performance of generalized MLP architectures which has back-propagation algorithm using various different activation functions for the neurons of hidden and output layers. For experimental comparisons, Bi-polar sigmoid, Uni-polar sigmoid, Tanh, Conic Section, and Radial Bases Function (RBF) were used.
Title and Subtitle Identifying Sensitive Structural and Hydraulic Parameters in a Bridge-Stream Network Under Flood Conditions 5

The interactions between rivers, surrounding hydrogeological features, and hydraulic structures such as bridges are not well-established or understood at the network scale, especially under transient conditions. The cascading effects of local perturbations upand downstream of hydraulic structures may have significant and far-reaching consequences, and therefore often cause concern among stakeholders. Tropical Storm Irene resulted in hundreds of millions of dollars in losses to infrastructure and property in Vermont, including damage to or failure of over 300 bridges, and considerable stream restoration efforts thereafter. Climate data show that the state is experiencing more frequent and persistent precipitation events, a trend that is predicted to continue. The replacement or re-design needed for hundreds of existing bridges to meet the rigorous hydraulic standards imposed by extreme flood events is likely not a viable proposition. Moreover, the upand downstream impacts of modification of a single structure may extend much farther than anticipated, especially in extreme events. This work presents a framework and methodology to perform such a network-level bridge resiliency analysis beyond detailed characterization of site-specific bridge-stream interactions. The stretch of the Otter Creek from Rutland to Middlebury, VT is used as a test bed for this analysis. A two-dimensional hydraulic model is used to elucidate the impact of individual structures on the bridge-stream network, as well as potential sensitivity to those impacts, during extreme flood events. Depending on their characteristics, bridges and roadways may either attenuate or amplify peak flood flows upand downstream, or have little to no impact at all. Likewise, bridges may or may not be sensitive to any changes in discharge that result from perturbation of existing structures. Alterations to structures that induce substantial backwaters may result in the most dramatic impacts to the network, which can be either positive or negative. Structures that do not experience relief (e.g., roadway overtopping) may be most sensitive to any network perturbations.
Using Neural Network Control Policies For Rapid Switching Between Beam Parameters in a Free Electron Laser

Free Electron Laser (FEL) facilities often must accommodate requests for a variety of electron beam parameters in order to supply scientific users with appropriate photon beam characteristics. This usually requires skilled human operators to tune the machine. In principle, a neural network control policy that is trained on a broad range of machine operating states could be used to quickly switch between these requests without substantial need for human intervention. We present preliminary results from an ongoing simulation study in which a neural network control policy is investigated for rapid switching between beam parameters in a compact THz FEL that exhibits nonlinear electron beam dynamics. To accomplish this, we first train a feed-forward neural network to mimic a physics-based simulation of the FEL. We then train a neural network control policy by first pre-training it as an inverse model (using supervised learning with a subset of the simulation data) and then training it more extensively with reinforcement learning. In this case, the reinforcement learning component consists of letting the policy network interact with the learned system model and backpropagating the cost through the model network to the controller network.
AssociationBetweentheProbabilityofAutismSpectrumDisorder andNormativeSex-RelatedPhenotypicDiversityinBrainStructure

Christine Ecker, PhD; Derek S. Andrews, MSc; Christina M. Gudbrandsen, MSc; Andre F. Marquand, PhD; Cedric E. Ginestet, PhD; EileenM. Daly, PhD; ClodaghM. Murphy, PhD; Meng-Chuan Lai, PhD; Michael V. Lombardo, PhD; Amber N. V. Ruigrok, PhD; Edward T. Bullmore, PhD, FRCPsych; John Suckling, PhD; Steven C. R. Williams, PhD; Simon Baron-Cohen, PhD; Michael C. Craig, PhD; Declan G. M. Murphy, FRCPsych; for theMedical Research Council Autism ImagingMulticentre Study (MRC AIMS) Consortium
Modelling of Spark Ignition in Turbulent Reacting Droplet-laden Temporally Evolving Jet using LES

The turbulent jet flames in fuel sprays are of a great importance and are used in many practical applications, e.g., aircraft and automotive direct fuel injection systems. In this work we analyse the process of spark ignition in two-phase temporally evolving jet which carries the fuel spray. We focus on a dependence of the ignition on local flow structures, spark parameters and fuel droplets size. The fuel (n-Heptane) spray evaporates and mixes with the co-flowing oxidizer (air) creating a flammable mixture. The spark is modelled as a source term added to the energy equation. The goal of the research is to investigate the forced ignition and subsequent flame propagation/extinction in the low Mach number turbulent flow. The computations are carried out using Implicit Large Eddy Simulation (ILES) method by the high-order in-house LES solver. Liquid droplets are modelled in Lagrangian reference frame as point sources of mass, momentum and energy. The results show that combined effect of local fuel concentration, strain rate and scalar dissipation rate plays a main role in ignition. On the other hand, high rates of strain at the spark position cause substantial flame stretching leading to its extinction.
Constrained RESTful Environments (CoRE) Link Format

This specification defines Web Linking using a link format for use by constrained web servers to describe hosted resources, their attributes, and other relationships between links. Based on the HTTP Link Header field defined in RFC 5988, the Constrained RESTful Environments (CoRE) Link Format is carried as a payload and is assigned an Internet media type. "RESTful" refers to the Representational State Transfer (REST) architecture. A well-known URI is defined as a default entry point for requesting the links hosted by a server. [STANDARDS-TRACK]
Cloning of PGC-1α from Grass Carp and Its Response to Cadmium-Induced Stress

Cadmium (Cd) is a demonstrated pollutant in the aquatic environment. The bioaccumulation of Cd in fish affects the mitochondrial viability such as free radicals generation and lipid peroxidation. Peroxisome proliferator-activated receptor (PPAR) γ co-activator α (PGC-1α) is crucial for mitochondrial biogenesis and metabolism. However, only a few PGC-1α s have been identified in fish, and their functions remain obscure. In the present study, PGC-1α gene was cloned from Ctenopharyngodon idellus (grass carp). Sequencing analysis revealed that grass carp PGC-1α also contained a PPARγ binding site, a RNA recognition motif and several serine-arginine repeats like other PGC-1α s, suggesting a similar function of PGC1α in grass carp compared with that in mammals. PGC-1α expression was mainly observed in tissues with high content of mitochondria such as kidney and red muscle, then heart>brain> white muscle> liver > adipose. When the fish were exposed to cadmium for 24h, 5 μM cadmium promoted mitochondrial succinate dehydrogenase activity and PGC-1α expression enhancement. While 20 μM cadmium slightly raised the enzyme activity, which was consistent with PGC-1α expression increment. These results suggested that grass carp PGC-1α was involved in cadmium induced stress and it may be associated with mitochondrial function.
CHAPTER 3 PROGRESS IN FULLY NONLINEAR POTENTIAL FLOW MODELING OF 3 D EXTREME OCEAN WAVES

SG and FE acknowledge the US National Science Foundation (NSF), under grant CMS0100223 of “the Engineering/Earthquake, Hazards and Mitigation Program”, and SG also acknowledges the US Office of Naval Research, under grant N000140510068, for supporting part of this work. Jeff Harris’ help is gratefully acknowledged for providing original data for the last two figures. Frederic.Dias@cmla.ens-cachan.fr. guyenne@math.udel. edu. PG acknowledges support from the University of Delaware Research Foundation and the US NSF under grant DMS-0625931. fochesat@cmla.ens-cachan.fr. enet@alkyon.nl.