Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliable and secure communication over adversarial multipath networks: A survey

We consider the problem of reliable and information theoretically secure communication over adversarial multi-path networks. The adversary, hidden in the multi-path network, is able to eavesdrop on and jam (possibly distinct) subsets of links. We study three types of problems - communication in the presence of non-causal adversaries, causal adversaries, and causal adversaries with passive feedback to the transmitter. For each of these problems, we further consider two types of jamming - additive jamming (modeling wireless communication) and overwrite jamming (modeling communication over wired networks). We survey recent results, and present new results for the setting with passive feedback available to the encoder - thus providing a "complete characterization" for the problem. For each variation of the problem, our results provide information theoretically optimal rates and computationally efficient codes asymptotically achieving these rates for both reliable as well as secure transmission.
Design of Double-F Metamaterial Structure for Enhancing Bandwidth of Patch Antenna with Negative μ and e

In this paper a rectangular micro strip patch antenna along with a metamaterial structure is proposed at a height of 3.2mm from the ground plane, which consists of a Double F Shaped Resonator (DFR) with Horizontal Rectangular Strips. This work is mainly focused on increasing the bandwidth of low profile micro strip patch antennas. The patch antenna along with the proposed metamaterial structure is designed to resonate at 1.45GHz. The impedance bandwidth of the patch antenna along with the proposed metamaterial structure is improved by 19.7MHz. All the simulation work is done by using CST-MWS Software. Double-Negative properties (Negative Permeability and Permittivity) of the proposed metamaterial structure have also been verified using Nicolson-Ross-Weir method (NRW).
Feeling a Bit Chilly? Exploring the Climate for Female Community College Faculty.

This paper presents results of a study that examined the current climate for female community college faculty. Two decades ago, Hall and Sandler coined the phrase "chilly climate" symbolically to embody a pervasive and negative climate reported by girls and women in their educational surroundings. Research literature continues to report on the chilly climate for female college students, faculty, and administrators. This report addresses the dearth of information specifically regarding female faculty at community colleges. The authors designed analyses of the community college faculty set consisting of responses of 743 and 740 female faculty. Using the literature as a guide, the study isolated constructs measuring: (1) overall assessment of the, climate; (2) satisfaction with salary; (3) satisfaction with students; (4) propensity to leave the college; (5) desire for more interaction with colleagues; and (6) discrimination. In 1974, 28% of full professors at two-year colleges were female, compared with 10% in all other institutions. In 1997-98, 38% of full professors at two-year colleges were female, compared with 19% at all other institutions. This indicates that there is still evidence of a chilly climate in two-year colleges, but that female faculty there fare better than their counterparts at four-year institutions. (Contains 43 references, 5 tables, and 2 figures.) (NB) . Reproductions supplied by EDRS are the best that can be made from the original document.
Face Lift with Reposition Malarplasty

Background: The malar highlight should be considered when performing face lifts in the midface area to restore young and attractive facial contour. The young, attractive face has malar highlights in the superior portion and a malar fat pad that provides fullness in the zygomatic area. Actually effective facial rejuvenation cannot be achieved by simply tightening soft tissue, especially in patients with a wide and descending mala. Furthermore, in patients with wide faces and a strong malar eminence, a face lift alone tends to make the face look wider. Therefore, the authors combined face lift with repositioning malarplasty to change the facial skeleton. Methods: From March of 1989 to February of 2005, the authors performed malar repositioning to a more attractive position (usually superiorly and medially) and a simultaneous subperiosteal midface lift and forehead lift in 96 patients with aging faces and prominent, wide malar complexes. The subcutaneous face lift with superficial musculoaponeurotic system procedure has been added as a standard procedure for patients with lower face and neck problems. Results: Postoperatively, malar highlights were moved to a more attractive position, and all patients were satisfied with their results. No serious complications, such as facial nerve injury or flap necrosis, were reported. Conclusion: Reposition malarplasty and face lift in combination proved to be an effective, long-lasting, and satisfactory method of facial rejuvenation, especially in patients with wide faces and a strong malar eminence.
OF GENERдLIZдTION IN ТНЕ SUPERCOMPILER

The central proЬlem of supercompilation is to fi.nd а finite set of configurations (gener~lized states) of the computing sysLem which is, for а given initial configuration, self-suГ:ficient in the sense that the process of computation can Ье defined Ьу а finile graph of statP.s and transitions using only these configurations as nodes. Generalization over configurations is neces~ary for this. 'Гhе paper describes an algorithm of generali? ation in the process of outside-in driving (forced unfolding of function calls ;n the l~zy evaluation semantics) which always tP.rminatP. s and produce~ а finite graph of states and transitions with а self sufficient set of basic configurations.
Metabolic Imaging of Cerebral Gliomas: Spatial Correlation of Changes in O-(2-18F-Fluoroethyl)-l-Tyrosine PET and Proton Magnetic Resonance Spectroscopic Imaging

The aim of this study was to determine the spatial correlation of O-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) uptake and the concentrations of choline (Cho), creatine (Cr), and total N-acetylaspartate (tNAA) determined with proton magnetic resonance spectroscopic imaging (1H MRSI) in cerebral gliomas for the multimodal evaluation of metabolic changes. Methods: 18F-FET PET and 2-dimensional 1H MRSI were performed in 15 patients with cerebral gliomas of World Health Organization (WHO) grades II–IV. PET and 1H MRSI datasets were coregistered by use of mutual information. On the basis of their levels of 18F-FET uptake, 4 different areas in a tumor (maximum, strong, moderate, and low 18F-FET uptake) were defined on PET slices as being congruent with the volume of interest in the 1H MRSI experiment. 18F-FET uptake in lesions was evaluated as tumor-to-brain ratios. Metabolite concentrations for Cho, Cr, and tNAA and Cho/tNAA ratios were computed for these 4 areas in the tumor and for the contralateral normal brain. Results: In the area with maximum 18F-FET uptake, the concentration of tNAA (R = −0.588) and the Cho/tNAA ratio (R = 0.945) correlated significantly with 18F-FET uptake. In the areas with strong and moderate 18F-FET uptake, only the Cho/tNAA ratios (R = 0.811 and R = 0.531, respectively) were significantly associated with amino acid transport. At low 18F-FET uptake, analysis of the correlations of amino acid uptake and metabolite concentrations yielded a significant result only for the concentration of Cr (R = 0.626). No correlation was found for metabolite concentrations determined with 1H MRSI and 18F-FET uptake in normal brain tissue. Maximum 18F-FET uptake and the tNAA concentration were significantly different between gliomas of WHO grades II and IV, with P values of 0.032 and 0.016, respectively. Conclusion: High 18F-FET uptake, which is indicative of tumor cell infiltration, associates with neuronal cell loss (tNAA) and changes in ratios between parameters representing membrane proliferation and those of neuronal loss (Cho/tNAA ratio), which can be measured by 1H MRSI. The significant correlation coefficients detected for Cr in regions with low 18F-FET uptake suggests an association between the mechanism governing amino acid transport and energy metabolism in areas that are infiltrated by tumor cells to a lesser extent. These findings motivate further research directed at investigating the potential of 1H MRSI to define tumor boundaries in a manner analogous to that of amino acid PET.
Realization of biped walking on soft ground with stabilization control based on gait analysis

This paper describes a walking stabilization control on a soft ground based on gait analysis for a humanoid robot. There are many researches on gait analysis on a hard ground, but few scientists analyze the walking ability of human beings on a soft ground. Therefore, we conducted anthropometric measurement using a motion capture system on a soft ground. By analyzing experimental data, we obtained two findings. The first finding is that although there are no significant differences in step width and step length, step height tends to increase to avoid the collision between the feet and a soft ground. The second finding is that there are no significant differences in the lateral CoM trajectories but the vertical CoM amplitude increases when walking on a soft ground. Based on these findings, we developed a walking stabilization control to stabilize the CoM motion in the lateral direction on a soft ground. Verification of the proposed control is conducted through experiments with a human-sized humanoid robot WABIAN-2R. The experimental videos are supplemented.
Financial Valuation and Risk Management Working Paper No . 362 Background Filtrations and Canonical Loss Processes for Top-Down Models of Portfolio Credit Risk

In single-obligor default risk modelling, using a background filtration in conjunction with a suitable embedding hypothesis (generally known as H-hypothesis or immersion property) has proven a very successful tool to separate the actual default event from the model for the default arrival intensity. In this paper we analyze the conditions under which this approach can be extended to the situation of a portfolio of several obligors, with a particular focus on the so-called top-down approach. We introduce the natural H-hypothesis of this setup (the successive H-hypothesis) and show that it is equivalent to a seemingly weaker one-step H-hypothesis. Furthermore, we provide a canonical construction of a loss process in this setup and provide closed-form solutions for some generic pricing problems.
Explorer bcl-2 acts early to restrict Semliki Forest virus replication and delays virus-induced programmed cell death

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A Pattern Recognition Neural Network Using Many Sets of Weights and Biases

In supervised training, we often try to find out a set of weights and biases for a pattern recognition neural network in order to classify all patterns in a training data set. However, it would be difficult if the neural network was not big enough for learning a large training data set. In this paper, we propose a training method and a design of pattern recognition neural network that is not big but still able to classify all the training patterns exactly. The neural network is designed with a reject output to separate the training data set into some parts for classifying more easily. The training method helps the neural network to find out not only one but many sets of weights and biases for classifying all the training patterns, controlling the recognizing rejection and reducing the error rate. On the other hand, with this design we can reduce the size of the neural network implemented on a FPGA chip in order to make fast smart sensors for the robots.
The Effect of Product Knowledge and Risk Perception on Consumers’ Online Word-of -Mouth Search Behavior for the Bio-Agricultural Products–in the Case of Ganoderma Dietary Supplements

Many consumers have adopted the food of dietary supplements. However, since the threshold of professional knowledge for dietary supplements is usually high, most of the consumers do not possess sufficient knowledge for making an appropriate purchase decisions as they concern buying the products of dietary supplements. As a result, many consumers rely on word-of-mouth as they need to make purchase decisions on buying dietary supplements. It causes health risk to consumers since the word-of-mouth may be wrong and thus to make consumers take wrong dietary supplements. To address this deficiency, this study explores how consumers’ knowledge for dietary supplements and risk perceptions influence their search behavior for word-of-mouth in the purchase of dietary supplements. With a two-stage cluster sampling strategy, 370 questionnaires were distributed to thecustomers of retail stores for selling Ganoderma dietary supplements, while 314 questionnaires were valid for statistical analysis. With the analysis of linear structural equation modeling, the causal structural relation among consumers’ product knowledge, risk perception and word-of-mouth search behavior was examined. According to the statistical results, consumers’ subjective product knowledge has greater overall impacts on the degree of word-of-mouth search behavior, compared with consumers’ objective product knowledge. Namely, if consumers have more subjective knowledge for products, they are less likely to rely on word-of-mouth for the purchase of dietary supplements. For promoting the concept of food safety to consumers, consumers should be prepared with more correct product knowledge, in order to develop trust in self product knowledge in the publicity of safe consumption of dietary supplements, and reduce their dependence on the reputation of the dietary supplements without clear sources.
A z = 3 Lyα BLOB ASSOCIATED WITH A DAMPED Lyα SYSTEM PROXIMATE TO ITS BACKGROUND QUASAR

We report on the discovery of a bright Lyα blob associated with the z = 3 quasar SDSS J124020.91+145535.6 which is also coincident with strong damped Lyα absorption from a foreground galaxy (a so-called proximate damped Lyα (PDLA) system). The one-dimensional spectrum acquired by the Sloan Digital Sky Survey (SDSS) shows a broad Lyα emission line with a FWHM ≃500 km s-1 and a luminosity of LLyα = 3.9 × 1043 erg s-1 superposed on the trough of the PDLA. Follow-up observations using the Keck/LRIS spectrometer confirm that this source has a Lyα nebula with spatial extent exceeding 5″, corresponding to a proper size >39 kpc. Mechanisms for powering the large Lyα luminosity in this nebula are discussed. We use a Monte Carlo radiative transfer simulation to investigate the possibility that the line emission is fluorescent recombination radiation from a kpc-scale PDLA galaxy powered by the ionizing flux of the quasar, but find that the predicted Lyα flux is several orders of magnitude lower than observed. We conclude that the Lyα emission is not associated with the PDLA galaxy at all, but instead is intrinsic to the quasar's host and similar to the extended Lyα “fuzz” which is detected around many active galactic nuclei. PDLAs are natural coronagraphs that block their background quasar at Lyα and we discuss how systems similar to SDSS J124020.91+145535.6 might be used to image the neutral hydrogen in the PDLA galaxy in silhouette against the screen of extended Lyα emission from the background quasar.
Current Research Efforts in Media ISA Development

This paper gives an overview of research efforts concentrating on developing ISA (Instruction Set Architecture) extensions on general-purpose workstation and desktop processors. Two major trends are increasing utilization of data-level parallelism in twodimensional data processing and increasing the number of operations executed per one instruction to obtain more complex functionality. Several studies show speed-ups ranging from 1.1 to 2.5 for complete applications compared to current ISA extensions.
Implicit control crosslinguistically

Abstract:In Landau 2015, it is proposed that the acceptability of implicit control (i.e. control by the implicit external argument of a passivized verb into complement clauses) is not only restricted by the revised Visser’s generalization (van Urk 2013), but also depends on the type of matrix predicate involved. While attitude matrix predicates allow implicit control (implicit logophoric control), nonattitude matrix predicates do not. Landau takes this bifurcation to support his two-tiered theory of control by assuming that in the case of nonattitude matrix predicates, the control relation is essentially a predication relation, from which implicit arguments are independently excluded. In this article, we subject these claims to empirical scrutiny, showing that Landau’s generalization on implicit control holds only in a subset of languages, while other languages license implicit control with both types of matrix predicates. We investigate and reject the hypothesis that this crosslinguistic split is the consequence of different types of implicit arguments, only some of which are syntactically represented in a way that allows them to enter a predication relation. Based on an investigation of the acceptability of agent-modifying depictives in passives, we conclude that, in principle, implicit external arguments of passives in all languages under consideration can enter predication. We show, however, that there is a different correlation: languages that allow implicit control with nonattitude verbs (implicit predicative control) are exactly those languages that allow impersonal passives of unergative predicates. To account for this correlation, we argue that implicit logophoric control, but not implicit predicative control, can be construed as a personal passive.
Inflation Targeting Turns 20

WO decades ago, New Zealand adopted a new approach to monetary policy, based on achieving a specific target for inflation. What made this approach new was the explicit public commitment to controlling inflation as the primary policy objective and the emphasis on policy transparency and accountability. Today 26 countries use inflation targeting, about half of them emerging market or low-income economies (see table). Moreover, a number of central banks in more advanced economies—including the european Central Bank, the U.S. Federal Reserve, the Bank of Japan, and the Swiss National Bank—have adopted many of the main elements of inflation targeting, and several others are in the process of moving toward it. This article examines how inflation targeters have performed over the past 20 years—includ-ing during the commodity price shocks of 2006–08 and the global financial crisis that began in 2007. The article also highlights some especially important issues inflation targeters are likely to face in the next few years. From the outset, inflation-targeting frameworks have included four main elements (Mishkin, 2004; and heenan, Peter, and Roger, 2006): • an explicit central bank mandate to pursue price stability as the primary objective of monetary policy and a high degree of operational autonomy; • explicit quantitative targets for inflation; • central bank accountability for performance in achieving the inflation objective, mainly through high-transparency requirements for policy strategy and implementation; and • a policy approach based on a forward-looking assessment of inflation pressures, taking into account a wide array of information. These elements reflect both theory and experience that suggest central banks cannot consistently pursue and achieve multiple goals, such as low inflation and low unemployment, with only one basic instrument—the policy interest rate (for example, the federal funds rate in the United States or the bank rate in the United Kingdom). These elements also recognize that over the long term monetary policy can influence nominal but not real (inflation-adjusted) variables ; high inflation harms growth and the equitable distribution of income; and expectations and credibility significantly influence the effectiveness of monetary policy. With experience, and as the inflation-targeting framework has been adopted by emerging market economies, it has tended to evolve in two particularly important respects. First, there has been a progressive increase in policy transparency and communication as the key means of providing public A growing number of countries are making a specific inflation rate the primary goal of monetary policy, with …
Solutions of Helmholtz and Schrödinger Equations with Side Condition and Nonregular Separation of Variables

Olver and Rosenau studied group-invariant solutions of (generally nonlinear) partial differential equations through the imposition of a side condition. We apply a similar idea to the special case of finite-dimensional Hamiltonian systems, namely Hamilton{Jacobi, Helmholtz and time-independent Schrodinger equations with potential on N-dimensional Riemannian and pseudo-Riemannian manifolds, but with a linear side condition, where more structure is available. We show that the requirement of N 1 commuting second-order symmetry operators, modulo a second-order linear side condition corresponds to nonregular separation of variables in an orthogonal coordinate system, characterized by a generalized Stackel matrix. The coordinates and solutions obtainable through true nonregular separation are distinct from those arising through regular separation of variables. We develop the theory for these systems and provide examples.
A novel deep learning architecture for sentiment classification

Evolution of plethora of e-commerce sites resulted in fierce competition among their providers. In order to acquire new and retain existing customers, various producers and market managers effectively employ online feedback analytics tools. Most of the online feedback analysis tools are built using sentiment analysis models. Sentiment analysis evolved in the last one and half decades for review mining process. An important sub-task of sentiment analysis called sentiment classification is used mainly to decide whether a written review is expressing either positive or negative sentiment towards a target entity. In order to have better sentiment classification accuracy, we proposed a hybrid deep learning architecture, which is a hybrid of a two layered Restricted Boltzmann Machine and a Probabilistic Neural Network. The proposed approach yielded better accuracy for five different datasets compared to the state-of-the-art.
Using Digital Watch Practices to Inform Smartwatch Design

Smartwatches have seen a recent resurgence with several manufacturers entering the market. While there has been research on technical feasibility and novel interactions for smartwatches, there has been little work on what user-centered values a smartwatch might offer to its wearer. We present a user study designed to uncover usage practices of traditional digital watches and report results from a qualitative survey of 50 everyday digital watch wearers. We discuss patterns found in perception of features, aesthetics, and patterns of wearing a watch. Using this data, we discuss possible applications and the implications these of these findings for designing smartwatches.