Miracle-dz/UniFAR-FTUs huggingface dataset:
On Non-Existence of a One Factor Interest Rate Model for Volatility Averaged Generalized Fong-Vasicek Term Structures

The purpose of this paper is to study the generalized Fong--Vasicek two-factor interest rate model with stochastic volatility. In this model the dispersion of the stochastic short rate (square of volatility) is assumed to be stochastic as well and it follows a non-negative process with volatility proportional to the square root of dispersion. The drift of the stochastic process for the dispersion is assumed to be in a rather general form including, in particular, linear function having one root (yielding the original Fong--Vasicek model or a cubic like function having three roots (yielding a generalized Fong--Vasicek model for description of the volatility clustering). We consider averaged bond prices with respect to the limiting distribution of stochastic dispersion. The averaged bond prices depend on time and current level of the short rate like it is the case in many popular one-factor interest rate model including in particular the Vasicek and Cox--Ingersoll-Ross model. However, as a main result of this paper we show that there is no such one-factor model yielding the same bond prices as the averaged values described above.
Persistent naming for P2P Web hosting

The peer-to-peer paradigm has great potential of contributing to the next generation web-hosting infrastructure. Profound advancements in P2P technologies in the last decade have proven their capability to provide the same functionality as traditional client-server systems at a much larger scale and much lower cost. Existing centralized website hosting technology has a number of inherent deficiencies, including: scalability issues; single point of failure; administrative overhead; and hosting expenses. P2P Web hosting can effectively address these problems and open a new era for the next generation web technology. Unlike the current web however, peer availability and content placement are highly dynamic in P2P networks. This dynamism raises a number of research challenges related to naming, indexing, searching and hosting in P2P environments. In this paper we identify the practical requirements for devising a persistent naming scheme for P2P web-hosting on top of highly dynamic non-persistent P2P networks and present a novel naming architecture for satisfying these requirements.
Robust Covariate Shift Regression

In many learning settings, the source data available to train a regression model dif-fers from the target data it encounters when making predictions due to input distribution shift. Appropriately dealing with this situ-ation remains an important challenge. Existing methods attempt to “reweight” the source data samples to better represent the target domain, but this introduces strong in-ductive biases that are highly extrapolative and can often err greatly in practice. We propose a robust approach for regression under covariate shift that embraces the uncertainty resulting from sample selection bias by pro-ducing regression models that are explicitly robust to it. We demonstrate the beneﬁts of our approach on a number of regression tasks.
Detection of Web Subsites: Concepts, Algorithms, and Evaluation Issues

Web sites are often organized into several regions, each dedicated to a specific topic or serving a particular function. From a user's perspective, these regions typically form coherent sets of pages characterized by a distinct navigation structure and page layout-we refer to them as subsites. In this paper we propose to characterize Web site structure as a collection of subsites and devise a method for detecting subsites and entry points for subsite navigation. In our approach we use a new model for representing Web site structure called Link Structure Graph (LSG). The LSG captures a complete hyperlink structure of a Web site and models link associations reflected in the page layout. We analyze a sample of Web sites and compare the LSG based approach to commonly used statistics for Web graph analysis. We demonstrate that LSG approach reveals site properties that are beyond the reach of standard site models. Furthermore, we devise a method for evaluating the performance of subsite detection algorithms and provide evaluation guidelines.
Detection and location of malicious nodes based on source coding and multi-path transmission in WSN

There are many security threats in WSN, such as malicious nodes on the transmission paths dropping, fabricating or tampering the forwarded messages. Most of the existing security methods relied on special hardware facilities, mechanism of node monitoring, encryption and authentication technology, which greatly increase the sensor’s price or computing and communicating cost in WSN. In this paper, we propose a new method, named as DESCM, which is based on source coding and multi-path transmission. Theoretical analysis shows that DESCM can detect and locate malicious nodes with high probability. Comparing with other methods, DESCM does not need special hardware, encryption or authentication technology, which can detect the malicious nodes with lower cost.
Nonpertubative Effects of Extreme Localization in Noncommutative Geometry

``Extremely'' localized wavefunctions in noncommutative geometry have disturbances that are localized to distances smaller than $\sqrt{\theta}$, where $\theta$ is the ``area'' parameter that measures noncommutativity. In particular, distributions such as the sign function or the Dirac delta function are limiting cases of extremely localized wavefunctions. It is shown that Moyal star products of extremely localized wavefunctions cannot be correctly computed perturbatively in powers of $\theta$. Nonperturbative effects as a function of $\theta$ are explicitly displayed through exact computations in several examples. In particular, for distributions, star products end up being functions of $\theta ^{-1}$ and have no expansion in positive powers of $\theta$. This result provides a warning for computations in noncommutative space that often are performed with perturbative methods. Furthermore, the result may have interesting applications that could help elucidate the role of noncommutative geometry in several areas of physics.
Routing and Spectrum Assignment in Spectrum Sliced Elastic Optical Path Network

A spectrum-sliced elastic optical path network (SLICE) architecture has been recently proposed as an efficient solution for a flexible bandwidth allocation in optical networks. In SLICE, the problem of Routing and Spectrum Assignment (RSA) emerges. In this letter, we both formulate RSA as an Integer Linear Programming (ILP) problem and propose an effective heuristic to be used if the solution of ILP is not attainable.
Broth versus Surface-Grown Cells: Differential Regulation of RsmY/Z Small RNAs in Pseudomonas aeruginosa by the Gac/HptB System

Two-component systems are capable of profoundly affecting genetic regulation in bacteria by detecting environmental stimuli, allowing them to quickly adapt. In Pseudomonas aeruginosa, the small RNAs (sRNAs) RsmY and RsmZ are under the control of the GacS/A system. They have been described as ones of the major key players in the control of planktonic and surface-associated behaviors. Genetic regulation by these sRNAs is achieved by the titration of the negative post-transcriptional regulator RsmA which affects the expression of over 500 genes. There is increasing evidence pinpointing the importance of RsmY and RsmZ in the planktonic-sessile P. aeruginosa lifestyles switch control. Using swarming motility as a model, we show here that these sRNA are differentially regulated depending on the selected growth conditions (i.e., planktonic versus surface grown-cells). Also, we report that opposite to planktonically grown cells, rsmZ regulation does not implicate the response regulator GacA in swarming cells. Furthermore, we present data indicating that RsmY/Z expression influence swarming motility via the protein HptB which acts as a negative regulator of these sRNAs and that they do not strictly converge to RsmA as previously reported.
Hypocretin and insomnia Polymorphisms in hypocretin receptors and insomnia

Study carried out at Department of Psychobiology, Universidade Federal de São Paulo, São Paulo SP. Brazil. 1 Department of Psychobiology, Universidade Federal de São Paulo, Sao Paulo SP. Brazil. 2 School of Arts, Sciences and Humanities, Universidade de São Paulo, Sao Paulo, Brazil Corresponding author: Mario Pedrazzoli. EACH/USP. Rua Arlindo Betio, no 1000. São Paulo SP. Brazil. CEP: 03828-000. E-mail: pedrazzo@usp.br Received: October 3, 2012; Accepted: April 29, 2013. ABSTRACT
The Santa Fe Bar Problem: a Study in Multiagent Learning

We study the process of multiagent learning in the context of the \Santa Fe Bar Problem" (Arthur 1994). We imagine a system of bounded rational agents taking decisions within a repeated game. Each agent has a nite number of decision procedures with which to reason, and access to the entire history of outcomes of the game. We rst allow the agents to use only deterministic decision procedures. We show that an eecient solution emerges, without central coordination or explicit coordination, through the dynamics and diversity of the agents. We then introduce randomized decision procedures and demonstrate that good coordination emerges more quickly, and that the long term equilibrium is more stable and less bursty.
Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis

Deals with adaptive control of a class of nonlinear dynamic systems preceded by unknown backlash-like hysteresis nonlinearities, where the hysteresis is modeled by a differential equation. By exploiting solution properties of the differential equation and combining those properties with adaptive control techniques, a robust adaptive control algorithm is developed without constructing a hysteresis inverse. The new control law ensures global stability of the adaptive system and achieves both stabilization and tracking to within a desired precision. Simulations performed on a nonlinear system illustrate and clarify the approach.
Dynamic properties of QT intervals

Five dynamic models of QT/RR coupling are tested on measurements of tilt table test at 19 healthy individuals. RMS of error signal (difference between measured and computed QT) and correlation coefficient (R) between error signal and RR are analyzed. Four models were based on weighted average of RR intervals - constant weighting, exponential weighting with linear dependency and nonlinear dependency and the new model given by exponential weighting, linear dependency and direct coupling with RR - MDCEXP. The fifth model was based on transfer function - MTRF. According to both parameters, RMS (P≪0.001), R (P≪10–7) MDCEXP and MTRF are the best. Between MDCEXP and MTRF does not exist significant differences.
Social Alienation in Schizophrenia Patients: Association with Insula Responsiveness to Facial Expressions of Disgust

Introduction Among the functional neuroimaging studies on emotional face processing in schizophrenia, few have used paradigms with facial expressions of disgust. In this study, we investigated whether schizophrenia patients show less insula activation to macro-expressions (overt, clearly visible expressions) and micro-expressions (covert, very brief expressions) of disgust than healthy controls. Furthermore, departing from the assumption that disgust faces signal social rejection, we examined whether perceptual sensitivity to disgust is related to social alienation in patients and controls. We hypothesized that high insula responsiveness to facial disgust predicts social alienation. Methods We used functional magnetic resonance imaging to measure insula activation in 36 schizophrenia patients and 40 healthy controls. During scanning, subjects passively viewed covert and overt presentations of disgust and neutral faces. To measure social alienation, a social loneliness scale and an agreeableness scale were administered. Results Schizophrenia patients exhibited reduced insula activation in response to covert facial expressions of disgust. With respect to macro-expressions of disgust, no between-group differences emerged. In patients, insula responsiveness to covert faces of disgust was positively correlated with social loneliness. Furthermore, patients' insula responsiveness to covert and overt faces of disgust was negatively correlated with agreeableness. In controls, insula responsiveness to covert expressions of disgust correlated negatively with agreeableness. Discussion Schizophrenia patients show reduced insula responsiveness to micro-expressions but not macro-expressions of disgust compared to healthy controls. In patients, low agreeableness was associated with stronger insula response to micro- and macro-expressions of disgust. Patients with a strong tendency to feel uncomfortable with social interactions appear to be characterized by a high sensitivity for facial expression signaling social rejection. Given the associations of insula responsiveness to covert disgust expression with low agreeableness in healthy individuals, insula responsiveness to expressions of disgust might be in general a neural marker of the personality trait of agreeableness.
Giesbrecht's Algorithm, The HFE Cryptosystem and ORE's ps-Polynomials

We report on a recent implementation of Giesbrecht's algorithm for factoring polynomials in a skew-polynomial ring. We also discuss the equivalence between factoring polynomials in a skew-polynomial ring and decomposing $p^s$-polynomials over a finite field, and how Giesbrecht's algorithm is outlined in some detail by Ore in the 1930's. We end with some observations on the security of the Hidden Field Equation (HFE) cryptosystem, where $p$-polynomials play a central role.
DRAFT For Public Review Public Health Goal for TCDD In Drinking Water

This Public Health Goal (PHG) technical support document provides information on health effects from contaminants in drinking water. PHGs are developed for chemical contaminants based on the best available toxicological data in the scientific literature. These documents and the analyses contained in them provide estimates of the levels of contaminants in drinking water that would pose no significant health risk to individuals consuming the water on a daily basis over a lifetime. perform risk assessments and adopt PHGs for contaminants in drinking water based exclusively on public health considerations. The Act requires that PHGs be set in accordance with the following criteria: 1. PHGs for acutely toxic substances shall be set at levels at which no known or anticipated adverse effects on health will occur, with an adequate margin of safety. 2. PHGs for carcinogens or other substances that may cause chronic disease shall be based solely on health effects and shall be set at levels that OEHHA has determined do not pose any significant risk to health. 3. To the extent the information is available, OEHHA shall consider possible synergistic effects resulting from exposure to two or more contaminants. 4. OEHHA shall consider potential adverse effects on members of subgroups that comprise a meaningful proportion of the population, including but not limited to infants, children, pregnant women, the elderly, and individuals with a history of serious illness. 5. OEHHA shall consider the contaminant exposure and body burden levels that alter physiological function or structure in a manner that may significantly increase the risk of illness. 6. OEHHA shall consider additive effects of exposure to contaminants in media other than drinking water, including food and air, and the resulting body burden. 7. In risk assessments that involve infants and children, OEHHA shall specifically assess exposure patterns, special susceptibility, multiple contaminants with toxic mechanisms in common, and the interactions of such contaminants. 8. In cases of insufficient data for OEHHA to determine a level that creates no significant risk, OEHHA shall set the PHG at a level that is protective of public health with an adequate margin of safety. 9. In cases where scientific evidence demonstrates that a safe dose response threshold for a contaminant exists, then the PHG should be set at that threshold. 10. The PHG may be set at zero if necessary to satisfy the requirements listed above in items seven and eight. 11. PHGs adopted by OEHHA …
Orthogonal waveform set design for netted radar

Orthogonal netted radar system requires the transmitted waveforms with a very low autocorrelation and cross-correlation sidelobe peak level. Pseudo-random Phase Coded Modulation (PCM) waveform is suitable for orthogonal design in this sense. In this paper, the correlation properties of Gold sequences as binary phase codes are discussed. Numerical examples are presented to demonstrate the desired orthogonal properties of the coded pulse signal. The effect of Doppler shift and computation cost are also discussed.
Physical placement driven by sequential timing analysis

Traditional timing-driven placement considers only combinational delays and does not take into account the potential of subsequent sequential optimization steps. As a result, the potential of re-balancing path delays through post-placement applications of clock skew scheduling and in-place retiming cannot be fully realized. In this paper we describe a new placement algorithm that is based on a tight integration of sequential timing analysis in the inner loop of an analytic solver. Instead of minimizing the maximum path delay, our approach minimizes the maximum mean delay on any circuit loop, thus enabling the full optimization potential of clock skew scheduling and in-place retiming. We present two versions of the new algorithm: one approximates sequential criticality and weights wires accordingly (Cong and Lim, 2000), the other extends this with the inclusion of explicit wire-length constraints for loops that limit the final clock period. Our algorithms are implemented using a hybrid, GORDlAN-style sequence of analytical placement steps interleaved with cell partitioning (Kleinhans et al., 1988). Our experiments on a set of large industrial designs demonstrate that the presented placement algorithm can minimize the contribution of interconnection delays to the clock period on average by 23.5% compared to a solution based on combinational delays.
Enhanced fuzzy sliding mode controller for a 3-DOF Parallel link manipulator

This paper presents an enhanced fuzzy sliding mode controller (EFSMC) for improving the tracking-performance of 3-DOF Parallel link manipulator, in which the fuzzy logic system is adopted as the adaptation mechanism to tune the gain of the sliding mode controller. The EFSMC can drive the state variables of 3-DOF Parallel link manipulator to hit a user-defined sliding surface quickly and slide along it. The sliding and global stability conditions are formulated and analyzed in terms of Lyapunov full quadratic form. To meet the real-time requirement of the parallel link manipulator, the region-wise linear technology is introduced to reduce the fuzzy rules of the EFSMC. The simulation results have shown that the proposed controller can achieve a higher performance with minimum reaching time and smooth control actions. In addition, it shows that the controller is effective and robust to the parametric variation and external disturbance.
2011 space odyssey: spatialization as a mechanism to code order allows a close encounter between memory expertise and classic immediate memory studies

In 2011 van Dijk and Fias with an innovative working memory paradigm showed for the first time that words to-beremembered, presented sequentially at the center of a screen acquired a new spatial dimension: the first words of the sequence acquired a left spatial value while the last words acquired a right spatial value. In this article, we argue that this spatialization which putatively underpins how order is coded in immediate memory 1 allows bridging the domain of memory expertise with classic immediate memory studies. After briefly reviewing the mechanisms for coding order in immediate memory and the recent studies pointing toward spatialization as an explanatory mechanism, we will pinpoint similar mechanisms that are known to exist in memory expertise, particularly in the method of loci. We will terminate by analyzing what these similarities can tell us about expertise.
Coordinate regulation of two opaque-phase-specific genes during white-opaque switching in Candida albicans

Cells of Candida albicans WO-1 switch spontaneously and frequently between a white and an opaque CFU. Recently, an opaque-phase-specific cDNA, PEP1, was cloned and was demonstrated to code for a pepsinogen. By using a differential hybridization screen, a second opaque-phase-specific cDNA, Op4, has been isolated and its corresponding gene has been cloned. Op4 is coordinately regulated with PEP1 but resides on a different chromosome. During temperature-induced mass conversion from opaque to white, transcription of PEP1 and Op4 is immediately inhibited by the increase in temperature, but transcription of both genes can be rapidly reestablished by a downshift in temperature prior to phenotypic commitment. However, the capacity to rapidly induce both PEP1 and Op4 is lost coincidentally with the second semisynchronous round of cell division and phenotypic commitment during mass conversion. Op4 shows no significant base or amino acid sequence homology with a known gene or protein, respectively. However, the deduced Op4 protein exhibits several interesting characteristics, including a hydrophobic amino terminus with 26 amino acids, a pI of 10.73 for the last 100 amino acids, two serine repeats adjacent to alanine repeats, and the potential for alpha-helical conformation within the alanine-rich sequences. No genomic reorganization was evident in the proximity of Op4 during transcriptional activation and deactivation accompanying the white-opaque transition.
Design and Impressions of a Multi-User Tabletop Interaction Device

TableMouse is a cursor manipulation device designed specifically for multiple users interacting on large tabletop surface. TableMouse tracks position, height, orientation, button state, and unique identification. It is designed using infrared light emitting diodes and computer vision to perform device tracking and identification. This paper explores the functional design of such a device. Insights into the inherent features enabled by this functionality - out of arms reach interaction, collaborative interaction - are described. The architecture, vision analysis process, and issues to consider are described. Finally two example applications utilising the TableMouse are described.
Novel feature generation and classification for a 2-state Self-paced Brain Computer Interface system

A two-state Self-paced Brain Computer Interface (SBCI) system enables users to control external devices at any time they desire by intentionally switching their mental states. In order to accurately control devices, distinguishing features representing different brain states must be present in the EEG signals. This paper introduces a novel feature generation method for EEG motor imagery data, based on Multivariate Empirical Mode Decomposition (MEMD), the Hilbert Transform and a phase synchronization index. Novelties of our approach are (1) MEMD is applied for decomposing an EEG signal into its narrow-band frequency components, from which features of the different brain states are calculated, and (2) a phase synchronization index is calculated without averaging over trials or time. We used a simple and fast classification scheme that employed an empirical threshold value obtained from the Receiver Operating Characteristic (ROC) curve of the training data. Applying the proposed method on only two mono-polar EEG channels, the SBCI system with the selected features yields a 93% True Positive rate, and a 5.8% False Positive rate using the BCI competition III data set Iva.