cssi/SciSciGPT-SciSciNet huggingface dataset:
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations

We present a method for estimating articulated human pose from a single static image based on a graphical model with novel pairwise relations that make adaptive use of local image measurements. More precisely, we specify a graphical model for human pose which exploits the fact the local image measurements can be used both to detect parts (or joints) and also to predict the spatial relationships between them (Image Dependent Pairwise Relations). These spatial relationships are represented by a mixture model. We use Deep Convolutional Neural Networks (DCNNs) to learn conditional probabilities for the presence of parts and their spatial relationships within image patches. Hence our model combines the representational flexibility of graphical models with the efficiency and statistical power of DCNNs. Our method significantly outperforms the state of the art methods on the LSP and FLIC datasets and also performs very well on the Buffy dataset without any training.
High-gain observers in the presence of measurement noise: A switched-gain approach

This paper considers output feedback control using high-gain observers in the presence of measurement noise for a class of nonlinear systems. We study stability in the presence of measurement noise and illustrate the tradeoff when selecting the observer gain between state reconstruction speed and robustness to model uncertainty on the one hand versus amplification of noise on the other. Based on this tradeoff we propose a high-gain observer that switches between two gain values. This scheme is able to quickly recover the system states during large estimation error and reduce the effect of measurement noise in a neighborhood of the origin of the estimation error. We argue boundedness and ultimate boundedness of the closed-loop system under switched-gain output feedback.
AN ANALYSIS OF STRAKE VORTEX BREAKDOWN CHARACTERISTICS IN RELATION TO DESIGN FEATURES

This paper describes a water-tunnel study of the vortex breakdown characteristics of a large number of analytically designed vortex strakes tested in combination with a moderate-aspect-ratio trapezoidal wing. A wide range of strake sizes and slenderness ratios are covered, and examples of the effects of the primary design parameters of size, span, and slenderness on the vortex breakdown characteristics are presented and analyzed in relation to the three-dimensional leading-edge suction distributions. Several examples of detailed planform shaping on strakes of the same general size and slenderness are shown. From these it is demonstrated that vortex stability can be improved by satisfying the design criterion. The criterion states that those shapes having leadingedge suction distributions which increase more rapidly near, and have a higher value at, the spanwise tip of the strake promote vortex stability. A AD b C c cr ( cr ) w cs ED Kv / p
Genome Engineering with CRISPR-Cas9 in the Mosquito Aedes aegypti

The mosquito Aedes aegypti is a potent vector of the chikungunya, yellow fever, and dengue viruses, responsible for hundreds of millions of infections and over 50,000 human deaths per year. Mutagenesis in Ae. aegypti has been established with TALENs, ZFNs, and homing endonucleases, which require the engineering of DNA-binding protein domains to provide genomic target sequence specificity. Here, we describe the use of the CRISPR-Cas9 system to generate site-specific mutations in Ae. aegypti. This system relies on RNA-DNA base-pairing to generate targeting specificity, resulting in efficient and flexible genome-editing reagents. We investigate the efficiency of injection mix compositions, demonstrate the ability of CRISPR-Cas9 to generate different types of mutations via disparate repair mechanisms, and report stable germline mutations in several genomic loci. This work offers a detailed exploration into the use of CRISPR-Cas9 in Ae. aegypti that should be applicable to non-model organisms previously out of reach of genetic modification.
Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks

We propose a cross-layer-model based adaptive resource-allocation scheme for the diverse quality-of-service (QoS) guarantees over downlink mobile wireless networks. Our proposed scheme dynamically assigns power-levels and time- slots for heterogeneous real-time mobile users to satisfy the variation of statistical delay-bound QoS requirements. To achieve this goal, we apply Wu and Negi's effective capacity approach to derive the admission-control and power/time-slot allocation algorithms, guaranteeing the statistical delay-bound for heterogeneous mobile users. When designing such an algorithm, we study the impact of physical-layer issues such as adaptive power-control and channel-state information (CSI) feedback delay on the QoS provisioning performance. Through numerical and simulation results, we observe that the adaptive power adaptation has a significant impact on statistical QoS-guarantees. In addition, the analyses indicate that our proposed resource-allocation algorithms are shown to be able to efficiently support the diverse QoS requirements for various real-time mobile users over different wireless channels. Also, in an in-door mobile environment, e.g., the widely used wireless local-area networks (WLAN), our proposed algorithm is shown to be robust to the CSI feedback delay.
Versatile Synthesis of Fused Tricyclic 1,2,4-Triazole Derivatives

Abstract The synthesis of a small series of fused tricyclic 1,2,4-triazoles is described. The key reaction is an intramolecular two-stage, one-pot reduction/cyclization sequence of a nitropyridine/oxadiazole substrate to give the key tricyclic triazole. Further standard transformations convert this template into a series of final target compounds.
Finding biclusters by random projections

Given a matrix X composed of symbols, a bicluster is a submatrix of X obtained by removing some of the rows and some of the columns of X in such a way that each row of what is left reads the same string. In this paper, we are concerned with the problem of finding the bicluster with the largest area in a large matrix X. The problem is first proved to be NP-complete. We present a fast and efficient randomized algorithm that discovers the largest bicluster by random projections. A detailed probabilistic analysis of the algorithm and an asymptotic study of the statistical significance of the solutions are given. We report results of extensive simulations on synthetic data.
Practical P‐Chiral Phosphane Ligand for Rh‐Catalyzed Asymmetric Hydrogenation

A highly electron-donating and conformationally rigid P-chiral bis(trialkylphospholane) ligand 2 (DuanPhos) has been prepared in both enantiomeric forms through a concise syn-thesis. Rh-2 complex has exhibited remarkably high enantio-selectivities (up to >99% ee) and reactivities (up to 10,000 TON) for the hydrogenation of a wide variety of functionalized prochiral alkenes (5 different types), which provides a very practical catalytic system for the preparation of various synthetically useful chiral compounds. (© Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2005)
Asymmetric Diels-Alder reactions in ionic liquids

Abstract Recent interest in ionic liquids has developed various uses for them, including some applications by synthetic chemists. Ionic liquids have joined the potential list of non-traditional solvents for Diels–Alder reactions. We report here our own efforts to examine the rates and selectivities of carbon Diels–Alder reactions. Our investigations show that excellent diastereoselective and enantioselective carbon Diels–Alder reactions can be achieved in imidazolium ionic solvents at room temperature.
Resolution of kinematic redundancy using optimization techniques

Path planning techniques for kinematically redundant manipulators are developed which involve the optimization of integral cost criteria. For a variety of such criteria, the necessary condition consists of n+l first-order differential equations, where n is the number of manipulator degrees of freedom and l is the degree of the redundancy. This necessary condition is essentially equivalent to the system of 2n equations announced by Y. Nakamura, H. Hanafusa (Int. J. Robotics Res., vol.6, no.1, pp.32-42, 1987). Refinements to these basic necessary conditions involve various boundary conditions. Numerical examples highlight the advantages of optimally resolving kinematic redundancy according to an integral cost criterion (compared with the more common approach of optimizing an instantaneous criterion). It is seen, however, that care must be taken regarding trajectories which meet the necessary conditions yet fail to be optimal. It is concluded that any sufficiency conditions for such optimization will involve explicit consideration of the topology of liftings of workspace paths. >
Controllability of the semilinear parabolic equation governed by a multiplicative control in the reaction term: a qualitative approach

We study the global "non-negative" approximate controllability property of a general semilinear heat equation with superlinear term, governed in a bounded domain by a multiplicative control in the reaction term. We show that any non-negative target state in L/sup 2/(/spl Omega/) can approximately be reached from any non-negative, nonzero initial state by applying at most three static bilinear L/sup /spl infin//(/spl Omega/)-controls subsequently in time. Our approach is based on an asymptotic technique allowing us to distinguish and make use of the pure diffusion and/or pure reaction parts of the dynamics of the system at hand, while suppressing the effect of nonlinear term.
AN N-BODY INTEGRATOR FOR GRAVITATING PLANETARY RINGS, AND THE OUTER EDGE OF SATURN'S B RING

A new symplectic N-body integrator is introduced, one designed to calculate the global 360 Degree-Sign evolution of a self-gravitating planetary ring that is in orbit about an oblate planet. This freely available code is called epi{sub i}nt, and it is distinct from other such codes in its use of streamlines to calculate the effects of ring self-gravity. The great advantage of this approach is that the perturbing forces arise from smooth wires of ring matter rather than discreet particles, so there is very little gravitational scattering and so only a modest number of particles are needed to simulate, say, the scalloped edge of a resonantly confined ring or the propagation of spiral density waves. The code is applied to the outer edge of Saturn's B ring, and a comparison of Cassini measurements of the ring's forced response to simulations of Mimas's resonant perturbations reveals that the B ring's surface density at its outer edge is {sigma}{sub 0} = 195 {+-} 60 g cm{sup -2}, which, if the same everywhere across the ring, would mean that the B ring's mass is about 90% of Mimas's mass. Cassini observations show that the B ring-edge has several free normal modes, which are long-livedmore » disturbances of the ring-edge that are not driven by any known satellite resonances. Although the mechanism that excites or sustains these normal modes is unknown, we can plant such a disturbance at a simulated ring's edge and find that these modes persist without any damping for more than {approx}10{sup 5} orbits or {approx}100 yr despite the simulated ring's viscosity {nu}{sub s} = 100 cm{sup 2} s{sup -1}. These simulations also indicate that impulsive disturbances at a ring can excite long-lived normal modes, which suggests that an impact in the recent past by perhaps a cloud of cometary debris might have excited these disturbances, which are quite common to many of Saturn's sharp-edged rings.« less
Computer-assisted selection of importance factors in inverse planning

The clinical objectives are usually multifaceted and incommensurable. A set of importance factors (IFs) is often incorporated in the objective function in inverse planning to parameterize tradeoff strategies and to prioritize the dose conformality in different structures. Whereas the general formalism remains the same, different sets of IFs characterize plans of obviously different flavor and critically influence the final plan. Up to now, the determination of these parameters has been a "guessing" game based on empirical knowledge because the influence of these parameters on the plan is not known until the optimization is completed. To compromise properly the conflicting requirements of the target and sensitive structures, the parameters are usually adjusted through trial-and-error. Here, the authors report a computational algorithm to automate the selection of the parameters. The plan selection is done in two steps. First, a set of IFs are chosen and the corresponding beam parameters are optimized under the guidance of an objective function using an iterative algorithm. The "optimal" plan is then evaluated by an additional scoring function. The IFs in the objective function are adjusted accordingly to improve the ranking of the plan. For every change in the IFs, the beam parameters need to be re-optimized. This process continues in an iterative fashion until the scoring function is saturated. The algorithm was applied to two clinical cases and the results demonstrated that it has the potential to improve significantly the existing method of inverse planning.
A series resonant AC-to-DC rectifier with high-frequency isolation

In this paper, a new series resonant AC-to-DC rectifier with high-frequency isolation is introduced. The proposed approach employs a PWM controlled AC controller, a series resonant tank and a high-frequency isolation transformer. With this approach, the single phase input AC is directly processed via the AC-to-AC converter eliminating the AC-to-DC rectification stage present in the conventional system. The output of the HF transformer is rectified and processed via a filtering stage to obtain a DC output. With the addition of an input filter, the input current is near sinusoidal at unity power factor. Simulation and experiment results are presented to verify the basic concept. >
Urbanization and housing investment

This paper provides the first systematic empirical assessment of the pace at which housing investment has responded to rising demand from urbanization. The assessment used National Accounts Statistics to build a data set of residential housing investment for more than 90 countries. The data set explicitly accounts for investment by households, the government, and the private sector. The analysis finds that housing investment follows an S-shaped trajectory taking off around per capita GDP of about $3,000 (US$2005) and tapering down at per capita GDP around $36,000 (US$2005). The analysis also finds that between 2001 and 2011, housing investment in low-income economies averaged 4.56 percent of gross domestic product and 9.12 percent in upper-middle-income economies. An important finding is that countries in Sub-Saharan Africa have housing elasticities similar to comparable low-income and lower-middle-income economies. In financing housing investment, the paper finds that developing countries tend to rely much more on domestic savings and government debt, whereas high-income Organisation for Economic Co-operation and Development countries lever capital markets by tapping foreign savings. Not only does excessive reliance on domestic savings and government debt increase the sensitivity of housing investment to the cyclicality of growth of gross domestic product, it also can potentially crowd out investments in health and education.
Induced roll computations for conventional missiles

The ZEUS program, which solves Euler's equations by spatial marching, is applied to conventional missiles characterized by circular cross-sectional bodies, canard control surfaces, and a cruciform tail. ZEUS incorporates a multiple-zone gridding technique and a second-order extension of Godunov's method. The Godunov method is an upwind scheme based on the Riemann problem for steady supersonic flow and cast in a control volume form. Second-order accuracy is obtained by computing local slopes and adding a predictor step. The scheme fits the bow shock and captures imbedded shocks. The ZEUS code is applied to two canard-controlled missiles with cruciform tails to predict longitudinal and lateral-directional (e.g., induced rolling moment) aerodynamic characteristics.
Performance Evaluation for ML Sequence Detection in ISI Channels with Gauss Markov Noise

Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to model read channels in magnetic recording and other data storage systems. The Viterbi algorithm can be adapted for performing maximum likelihood sequence detection in such channels. However, the problem of finding an analytical upper bound on the bit error rate of the Viterbi detector in this case has not been fully investigated. Current techniques rely on an exhaustive enumeration of short error events and determine the BER using a union bound. In this work, we consider a subset of the class of ISI channels with data dependent Gauss-Markov noise. We derive an upper bound on the pairwise error probability (PEP) between the transmitted bit sequence and the decoded bit sequence that can be expressed as a product of functions depending on current and previous states in the (incorrect) decoded sequence and the (correct) transmitted sequence. In general, the PEP is asymmetric. The average BER over all possible bit sequences is then determined using a pairwise state diagram. Simulations results which corroborate the analysis of upper bound, demonstrate that analytic bound on BER is tight in high SNR regime. In the high SNR regime, our proposed upper bound obviates the need for computationally expensive simulation.
Existence and Stability of Viscoelastic Shock Profiles

We investigate existence and stability of viscoelastic shock profiles for a class of planar models including the incompressible shear case studied by Antman and Malek-Madani. We establish that the resulting equations fall into the class of symmetrizable hyperbolic–parabolic systems, hence spectral stability implies linearized and nonlinear stability with sharp rates of decay. The new contributions are treatment of the compressible case, formulation of a rigorous nonlinear stability theory, including verification of stability of small-amplitude Lax shocks, and the systematic incorporation in our investigations of numerical Evans function computations determining stability of large-amplitude and nonclassical type shock profiles.
Adaptive Regret Minimization in Bounded-Memory Games

Organizations that collect and use large volumes of personal information often use security audits to protect data subjects from inappropriate uses of this information by authorized insiders. In face of unknown incentives of employees, a reasonable audit strategy for the organization is one that minimizes its regret. While regret minimization has been extensively studied in repeated games, the standard notion of regret for repeated games cannot capture the complexity of the interaction between the organization (defender) and an adversary, which arises from dependence of rewards and actions on history. To account for this generality, we introduce a richer class of games called bounded-memory games, which can provide a more accurate model of the audit process. We introduce the notion of k-adaptive regret, which compares the reward obtained by playing actions prescribed by the algorithm against a hypothetical k-adaptive adversary with the reward obtained by the best expert in hindsight against the same adversary. Roughly, a hypothetical k-adaptive adversary adapts her strategy to the defender's actions exactly as the real adversary would within each window of karounds. A k-adaptive adversary is a natural model for temporary adversaries (e.g., company employees) who stay for a certain number of audit cycles and are then replaced by a different person. Our definition is parameterized by a set of experts, which can include both fixed and adaptive defender strategies. We investigate the inherent complexity of and design algorithms for adaptive regret minimization in bounded-memory games of perfect and imperfect information. We prove a hardness result showing that, with imperfect information, any k-adaptive regret minimizing algorithm (with fixed strategies as experts) must be inefficient unless NP = RP even when playing against an oblivious adversary. In contrast, for bounded-memory games of perfect and imperfect information we present approximate 0-adaptive regret minimization algorithms against an oblivious adversary running in time $n^{O\left(1\right)}$ .
VLF Emissions Associated with Enhanced Magnetospheric Electrons.

VLF emissions and enhancements of low-energy electrons have been simultaneously observed during periods of geomagnetic disturbances by the equatorial orbiting Explorer 45 satellite. These events are characterized by the following: (1) the VLF emissions occur outside the plasmasphere in the nightside of the magnetosphere, (2) the emissions consist of two frequency regimes, one below the local electron gyrofrequency, and the other above it, (3) the emissions below the gyrofrequency are relatively broadband whistler waves characteristic of chorus, (4) the emissions above the gyrofrequency are electrostatic and typically have components near 3/2 the gyrofrequency, (5) the onset of emissions coincides with abrupt increases outside the plasmasphere in 1-10 keV electrons to intensities of the order of 10 to the 8th el/sq cm/s/sr/keV, and (6) the cessation of the emissions coincides with a drop in the electron intensities to their preenhancement levels, which are of the order of 10 to the 6th el/sq cm/s/sr/keV or less.
CrowdInside: automatic construction of indoor floorplans

The existence of a worldwide indoor floorplans database can lead to significant growth in location-based applications, especially for indoor environments. In this paper, we present CrowdInside: a crowdsourcing-based system for the automatic construction of buildings floorplans. CrowdInside leverages the smart phones sensors that are ubiquitously available with humans who use a building to automatically and transparently construct accurate motion traces. These accurate traces are generated based on a novel technique for reducing the errors in the inertial motion traces by using the points of interest in the indoor environment, such as elevators and stairs, for error resetting. The collected traces are then processed to detect the overall floorplan shape as well as higher level semantics such as detecting rooms and corridors shapes along with a variety of points of interest in the environment.Implementation of the system in two testbeds, using different Android phones, shows that CrowdInside can detect the points of interest accurately with 0.2% false positive rate and 1.3% false negative rate. In addition, the proposed error resetting technique leads to more than 12 times enhancement in the median distance error compared to the state-of-the-art. Moreover, the detailed floorplan can be accurately estimated with a relatively small number of traces. This number is amortized over the number of users of the building. We also discuss possible extensions to CrowdInside for inferring even higher level semantics about the discovered floorplans.
Random-field models for relaxor ferroelectric behavior

Heat bath Monte Carlo simulations have been used to study a four-state clock model with a type of random field on simple cubic lattices. The model has the standard nonrandom two-spin exchange term with coupling energy J and a random field that consists of adding an energy D to one of the four-spin states, chosen randomly at each site. This Ashkin-Teller-like model does not separate; the two random-field Ising model components are coupled. When $D/J=3,$ the ground states of the model remain fully aligned. When $D/Jg~4,$ a different type of ground state is found, in which the occupation of two of the four-spin states is close to 50%, and the other two are nearly absent. This means that one of the Ising components is almost completely ordered, while the other one has only short-range correlations. A large peak in the structure factor $S(k)$ appears at small k for temperatures well above the transition to long-range order, and the appearance of this peak is associated with slow, ``glassy'' dynamics. The phase transition into the state where one Ising component is long-range ordered appears to be first order, but the latent heat is very small.
Orbits and Masses of the Satellites of the Dwarf Planet Haumea (2003 EL61)

Using precise relative astrometry from the Hubble Space Telescope and the W. M. Keck Telescope, we have determined the orbits and masses of the two dynamically interacting satellites of the dwarf planet (136108) Haumea, formerly 2003 EL61. The orbital parameters of Hi'iaka, the outer, brighter satellite, match well the previously derived orbit. On timescales longer than a few weeks, no Keplerian orbit is sufficient to describe the motion of the inner, fainter satellite Namaka. Using a fully interacting three-point-mass model, we have recovered the orbital parameters of both orbits and the mass of Haumea and Hi'iaka; Namaka's mass is marginally detected. The data are not sufficient to uniquely determine the gravitational quadrupole of the nonspherical primary (described by J_2). The nearly coplanar nature of the satellites, as well as an inferred density similar to water ice, strengthen the hypothesis that Haumea experienced a giant collision billions of years ago. The excited eccentricities and mutual inclination point to an intriguing tidal history of significant semimajor axis evolution through satellite mean-motion resonances. The orbital solution indicates that Namaka and Haumea are currently undergoing mutual events and that the mutual event season will last for next several years.
Beyond the elliptic genus

Abstract Given a Riemann surface Σ and a Riemannian manifold M with certain restrictions, we construct a cobordism invariant of M. This invariant is a generalization of the elliptic genus and it shares some similar properties.
Shell Buckling Design Criteria Based on Manufacturing Imperfection Signatures

An analysis-based approach for developing shell-buckling design criteria for laminated-composite cylindrical shells that accurately account for the effects of initial geometric imperfections is presented. With this approach, measured initial geometric imperfection data from six graphite-epoxy shells are used to determine a manufacturing-process-specific imperfection signature for these shells. This imperfection signature is then used as input into nonlinear finite element analyses. The imperfection signature represents a first-approximation mean imperfection shape that is suitable for developing preliminary-design data. Comparisons of test data and analytical results obtained by using several different imperfection shapes are presented for selected shells. These shapes include the actual measured imperfection shape of the test specimens, a first-approximation mean imperfection shape, with and without plus or minus one standard deviation, and the linear-bifurcation-mode imperfection shape. In addition, buckling interaction curves for composite shells subjected to combined axial compression and torsion loading are presented that were obtained by using the various imperfection shapes in the analyses. A discussion of the nonlinear finite element analyses is also presented. Overall, the results indicate that the analysis-based approach presented for developing reliable preliminary-design criteria has the potential to provide improved, less conservative buckling-load estimates and to reduce the weight and cost of developing buckling-resistant shell structures.
Catalytic coupling of haloolefins with anilides.

A strategy in which C−H activation reactions promoted by Pd(II) have been combined with β-heteroatom elimination to create a catalytic cycle achieving the arylation of haloacrylates is reported. The catalytic cycle can be subdivided into four parts: (1) C−H activation; (2) the functionalization step, migratory insertion of the olefin into a metal−carbon bond; (3) β-heteroatom elimination; and (4) exchange of metal halide (if X = halogen) for a less coordinating anion. In this catalytic cycle, the oxidation state of the metal does not change, and an oxidant is not required. The method is more functional group tolerant compared with the existing alkene−arene coupling methods based on electrophilic C−H activation.
NASA structure and evolution of the universe theme: science overview

The NASA Office of Space Science Structure and Evolution of the Universe (SEU) theme covers a wide variety of scientific investigations, from the nearest bodies to the farthest observable distances just after the time of the Big Bang. SEU supports experiments that sense radiation of all wavelengths, together with particle and gravitational wave detection. Recently completed road mapping and strategic planning exercises have identified a number of near- and medium-term space initiatives for the 2003-2023 time frame. Each of these experiments pushes the state of the art technically, but will return incredible new insights on the formation and evolution of the universe, as well as probe fundamental laws of physics in regimes never before tested. The scientific goals and technological highlights of each mission are described.
The Search for Life on Mars

Mars appears to have no life on its surface today. However, the presence of fluvial features provides evidence that liquid water was once present on the martian surface. By analogy with Earth, life may have originated on Mars early in its history, possibly during the end of the late heavy bombardment. Analysis of the one meteorite from Mars which dates to this early time appears to contain evidence of this early environment and possibly life. As the climate cooled and liquid water became unavailable, life would have eventually died out. The cold deserts of Antarctica provide a glimpse of what martian ecosystems might have been like as conditions worsened. The search for fossil evidence of past life on Mars may provide the first direct indication of life beyond Earth.
GRADED UNIFICATION: A FRAMEWORK FOR INTERACTIVE PROCESSING

An extension to classical unification, called graded unification is presented. It is capable of combining contradictory information. An interactive processing paradigm and parser based on this new operator are also presented.
Explaining persistence in mutual fund performance

Abstract This study investigates the determinants of persistence in mutual fund performance. Previous research that uses factor-mimicking portfolios and characteristic benchmarks to model fund performance fails to explain all the persistence in fund returns. This study employs a model that directly relates mutual fund returns to the characteristics of the stocks held by funds. Adjusting fund returns for the size of the stocks in which funds invest and financial ratios intended to capture fund manager investment styles explains all the persistence in mutual fund returns from 1976–1985, the period in which persistence is most prevalent.
Autoxidation of NO in aqueous solution

The reaction of NO with O2 has been investigated in aqueous solution. As demonstrated by ion chromatography, the sole product is NO2−. Kinetic studies of the reaction by stopped-flow methods with absorbance and conductivity detection are in agreement that the rate law is -d[O2]/dt=k[NO]2[O2] with k = 2.1 × 106 M−2 s−1 at 25°C. This rate law is unaffected by pH over the range from pH 1 to 13, and it holds with either NO or O2 in excess. By studying the reaction over the temperature range from 10 to 40°C, the following activation parameters were obtained: ΔH≠ = 4.6 ± 2.1 kJ mol−1 and ΔS≠=−96 plusmn; 4 J K−1 mol−1. © 1993 John Wiley & Sons, Inc.
Transarterial Embolization of a Cervical Dural Arteriovenous Fistula: Presenting with Subarachnoid Hemorrhage

We describe a case of a 75-year-old man who presented with acute onset of headache and subarachnoid hemorrhage and initial cerebral angiography was deemed "negative". In retrospect, a faint contrast collection was present adjacent to the right vertebral artery at the C1 level suspicious for a small dural arteriovenous fistula (dAVF). Follow-up angiography with selective microcatheter injections of the right vertebral artery and C1 radicular artery confirmed a complex dAVF with characteristically specific venous drainage patterns associated with a subarachnoid hemorrhage presentation. Subsequently, the cervical dAVF was treated with superselective glue embolization resulting in complete occlusion. Cervical dAVFs are extremely rare vascular causes of subarachnoid hemorrhage. Both diagnostic angiography and endovascular treatment of these lesions can be challenging, especially in an emergent setting, requiring selective evaluation of bilateral vertebral arteries and careful attention to their cervical segments. Although only a single prior case of a cervical dAVF presenting with subarachnoid hemorrhage has been successfully treated with embolization, modern selective transarterial techniques may allow easier detection and treatment of subtle pathologic arteriovenous connections.
Semi-supervised Sequence Learning

We present two approaches to use unlabeled data to improve Sequence Learning with recurrent networks. The first approach is to predict what comes next in a sequence, which is a language model in NLP. The second approach is to use a sequence autoencoder, which reads the input sequence into a vector and predicts the input sequence again. These two algorithms can be used as a "pretraining" algorithm for a later supervised sequence learning algorithm. In other words, the parameters obtained from the pretraining step can then be used as a starting point for other supervised training models. In our experiments, we find that long short term memory recurrent networks after pretrained with the two approaches become more stable to train and generalize better. With pretraining, we were able to achieve strong performance in many classification tasks, such as text classification with IMDB, DBpedia or image recognition in CIFAR-10.
A CONCISE SYNTHESIS OF CHIRAL 3-HYDROXYMETHYL-5-ISOPROPYL MORPHOLINES FROM VALINOL

(2002). A CONCISE SYNTHESIS OF CHIRAL 3-HYDROXYMETHYL-5-ISOPROPYL MORPHOLINES FROM VALINOL. Organic Preparations and Procedures International: Vol. 34, No. 5, pp. 521-524.
A Monolithically-Integrated Chip-to-Chip Optical Link in Bulk CMOS

Silicon-photonics is an emerging technology that can overcome the tradeoffs faced by traditional electrical I/O. Due to ballooning development costs for advanced CMOS nodes, however, widespread adoption necessitates seamless photonics integration into mainstream processes, with as few process changes as possible. In this work, we demonstrate a silicon-photonic link with optical devices and electronics integrated on the same chip in a 0.18 µm bulk CMOS memory periphery process. To enable waveguides and optics in process-native polysilicon, we introduce deep-trench isolation, placed underneath to prevent optical mode leakage into the bulk silicon substrate, and implant-amorphization to reduce polysilicon loss. A resonant defect-trap photodetector using polysilicon eliminates need for germanium integration and completes the fully polysilicon-based photonics platform. Transceiver circuits take advantage of photonic device integration, achieving 350 fJ/b transmit and 71 µA pp BER = 10 -12 receiver sensitivity at 5 Gb/s. We show high fabrication uniformity and high-Q resonators, enabling dense wavelength-division multiplexing with 9-wavelength 45 Gb/s transmit/receive data-rates per waveguide/fiber. To combat perturbations to variation- and thermally-sensitive resonant devices, we demonstrate an on-chip thermal tuning feedback loop that locks the resonance to the laser wavelength. A 5 m optical chip-to-chip link achieves 5 Gb/s while consuming 3 pJ/b and 12 pJ/bit of circuit and optical energy, respectively.
Effect of Herbicides for Leafy Spurge Control on the Western Prairie Fringed Orchid

Abstract Leafy spurge has invaded the habitat of the western prairie fringed orchid, a federally listed threatened species. Imazapic ([±]-2-[4,5-dihydro-4-methyl-4-{1-methylethyl}-5-oxo-1 H -imidazol-2-yl]-5-methyl-3-pyridinecarboxylic acid) and quinclorac (3,7-dichloroquinoline-8-carboxylic acid) are relatively new herbicides that control leafy spurge and can be used in the mesic areas where the orchid is found. Research was initiated to evaluate the effects of imazapic and quinclorac on the survival and fecundity of the western prairie fringed orchid. Herbicides were applied at the commonly used and maximum labeled rates in mid-September. This timing is optimum for leafy spurge control with quinclorac and imazapic and the orchid generally has senesced by mid-September, making injury less likely. Quinclorac applied at 840 and 1 120 g·ha −1 did not affect regrowth or fecundity of the western prairie fringed orchid 1 or 2 years after treatment. Orchids treated with quinclorac at 840 or 1 120 g·ha −1 generally were as tall, had racemes as long as, and produced as many flowers and seed capsules as untreated orchids. In contrast, orchids treated with imazapic at 140 or 210 g·ha −1 tended to regrow as vegetative plants and were shorter, had shorter racemes, and produced fewer flowers and seed capsules than untreated orchids. Orchids treated with imazapic averaged 21 cm in height and produced an average of 1 flower per plant 10 months after treatment, whereas untreated orchids and orchids treated with quinclorac were approximately 36 cm in height and produced 5 flowers per plant. Quinclorac could be a valuable tool to control leafy spurge in the habitat of the orchid because orchids treated with quinclorac regrew as vigorously and were as fecund as untreated orchids. However, the current quinclorac label prohibits grazing or haying for 309 days after application.
Build Your Mashup with Web Services

Mashup is presenting new kind of application in web 2.0 world. Mashup is not simply about the AJAX technologies, rather, it is typically related to reuse the data and other services from other web side and web applications. There are many ways to build up the mashup. This half-day tutorial will focus on using XML and JSON format of data and service and will introduce the following to the participants.
Students' Uses of and Reactions to Alternative Methods of Preparing for the SAT.

A variety of courses, procedures, and materials are available to students to help them prepare for the Scholastic Aptitude Test (SAT). The sometimes conflicting claims and opinions of test sponsors...
Probabilistic curve learning: Coulomb repulsion and the electrostatic Gaussian process

Learning of low dimensional structure in multidimensional data is a canonical problem in machine learning. One common approach is to suppose that the observed data are close to a lower-dimensional smooth manifold. There are a rich variety of manifold learning methods available, which allow mapping of data points to the manifold. However, there is a clear lack of probabilistic methods that allow learning of the manifold along with the generative distribution of the observed data. The best attempt is the Gaussian process latent variable model (GP-LVM), but identifiability issues lead to poor performance. We solve these issues by proposing a novel Coulomb repulsive process (Corp) for locations of points on the manifold, inspired by physical models of electrostatic interactions among particles. Combining this process with a GP prior for the mapping function yields a novel electrostatic GP (electroGP) process. Focusing on the simple case of a one-dimensional manifold, we develop efficient inference algorithms, and illustrate substantially improved performance in a variety of experiments including filling in missing frames in video.
Evaluation of a Community-Based Peer-to-Peer Support Program for Parents of At-Risk Youth with Emotional and Behavioral Difficulties

Parents of children with emotional and behavioral needs frequently experience difficulty navigating community-based services for their child, as well as experience increased stress and parental strain. Peer-to-peer support programs are an emerging approach to assist these parents, and evidence suggests that they are effective in increasing parents’ perceptions of social support, self-efficacy, and well-being. However, these programs often focus on parents of youth with diagnosed mental health disorders, despite the potential benefit for parents of youth who are at-risk for significant emotional and behavioral problems. In the current study, we used a pre-post design to evaluate a community-based, peer-to-peer support prevention program delivered via telephone to parents (N = 139) of youth with emerging behavioral and emotional difficulties. We evaluated (1) whether the intervention was delivered as designed, (2) the pre- and post-intervention gains in social support and concrete support, and (3) whether parents’ level of participation in the intervention and program adherence predicted outcomes. Results indicated that the intervention was delivered as intended and resulted in increased parental perceived social support and concrete support over time. Furthermore, higher levels of parental participation and intervention adherence were associated with increases in perceived social support. Thus, findings suggest that it may be beneficial for parents of at-risk youth with significant emotional and behavioral difficulties to engage in a peer-to-peer phone support prevention program.
Evaluation of a novel antimicrobial solution and its potential for control Escherichia coli O157:H7, non-O157:H7 shiga toxin-producing E. coli, Salmonella spp., and Listeria monocytogenes on beef

Abstract The goal of this study was to evaluate the efficacy of a novel antimicrobial solution made with chitosan, lauric arginate ester, and organic acids on Escherichia coli O157:H7, Salmonella spp., Listeria monocytogenes, and non-O157 shiga toxin-producing E. coli cocktails and to test its potential to be used as a marinade for raw beef. Fresh beef top round steaks were surface-inoculated with the pathogen cocktails at approximately 2.5 or 4.5 Log CFU/cm2, marinated with the antimicrobial solution (AMS), and then stored at 4 °C for 6, 24, and 48 h. Three commercially available marinades were used for comparison. Results revealed that AMS had the most antimicrobial effect regardless of the type or inoculation level of pathogens (P
Long-Term Sequela of Pediatric Bladder Reconstruction

Children with refractory neurogenic bladder (NGB) who have failed maximal medical management are presented with options for bladder reconstruction. It is critical to understand the long-term sequela of bladder augmentation and bladder neck reconstruction to properly counsel families regarding these procedures. Benefits may include preservation of renal function, continence, reduced risk of renal-related mortality, and potential improvements in quality of life (QOL). However, these advantages must be balanced with the risks of bladder calculi, perforation, need for additional surgery, acid/base disturbances, vitamin B12 deficiency, and malignancy. Therefore, careful patient selection and preoperative counseling are paramount for those undergoing bladder reconstruction which includes intestinal bladder augmentation, as these patients require lifelong vigilant follow-up.
Mixed-state quantum transport in correlated spin networks

Quantum spin networks can be used to transport information between separated registers in a quantum-information processor. To find a practical implementation, the strict requirements of ideal models for perfect state transfer need to be relaxed, allowing for complex coupling topologies and general initial states. Here we analyze transport in complex quantum spin networks in the maximally mixed state and derive explicit conditions that should be satisfied by propagators for perfect state transport. Using a description of the transport process as a quantum walk over the network, we show that it is necessary to phase-correlate the transport processes occurring along all the possible paths in the network. We provide a Hamiltonian that achieves this correlation and use it in a constructive method to derive engineered couplings for perfect transport in complicated network topologies.
Boundary value problems for first order elliptic wedge operators

We develop an elliptic theory based in $L^2$ of boundary value problems for general wedge differential operators of first order under only mild assumptions on the boundary spectrum. In particular, we do not require the indicial roots to be constant along the base of the boundary fibration. Our theory includes as a special case the classical theory of elliptic boundary value problems for first order operators with and without the Shapiro-Lopatinskii condition, and can be thought of as a natural extension of that theory to the geometrically and analytically relevant class of wedge operators. Wedge operators arise in the global analysis on manifolds with incomplete edge singularities. Our theory settles, in the first order case, the long-standing open problem to develop a robust elliptic theory of boundary value problems for such operators.
Prognostic interaction between ASXL1 and TET2 mutations in chronic myelomonocytic leukemia

Mutations involving epigenetic regulators (TET2~60% and ASXL1~40%) and splicing components (SRSF2~50%) are frequent in chronic myelomonocytic leukemia (CMML). On a 27-gene targeted capture panel performed on 175 CMML patients (66% males, median age 70 years), common mutations included: TET2 46%, ASXL1 47%, SRSF2 45% and SETBP1 19%. A total of 172 (98%) patients had at least one mutation, 21 (12%) had 2, 24 (14%) had 3 and 30 (17%) had >3 mutations. In a univariate analysis, the presence of ASXL1 mutations (P=0.02) and the absence of TET2 mutations (P=0.03), adversely impacted survival; while the number of concurrent mutations had no impact (P=0.3). In a multivariable analysis that included hemoglobin, platelet count, absolute monocyte count and circulating immature myeloid cells (Mayo model), the presence of ASXL1 mutations (P=0.01) and absence of TET2 mutations (P=0.003) retained prognostic significance. Patients were stratified into four categories: ASXL1wt/TET2wt (n=56), ASXL1mut/TET2wt (n=31), ASXL1mut/TET2mut (n=50) and ASXL1wt/TET2mut (n=38). Survival data demonstrated a significant difference in favor of ASXL1wt/TET2mut (38 months; P=0.016), compared with those with ASXL1wt/TET2wt (19 months), ASXL1mut/TET2wt (21 months) and ASXL1mut/TET2mut (16 months) (P=0.3). We confirm the negative prognostic impact imparted by ASXL1 mutations and suggest a favorable impact from TET2 mutations in the absence of ASXL1 mutations.
Initial Interaction Expectations with Robots: Testing the Human-To-Human Interaction Script

As social robotics becomes more utilized and routine in everyday situations, individuals will be interacting with social robots in a variety of contexts. Centered on the use of human-to-human interaction scripts, the current study hypothesized that individuals would be more uncertain, have less liking and anticipate less social presence when they are told that they will be interacting with a social robot as opposed to another person. Additionally, the current study utilized a two-time measurement model experiment to explore perceptions of interacting with either a robot or human. Data were consistent with hypotheses. Research questions examined perceptions from Time 1 to Time 2 for the robot condition on the dependent variables. Findings are discussed in light of future research studies.