Miracle-dz/UniFAR-FTUs huggingface dataset:
6D proximity servoing for preshaping and haptic exploration using capacitive tactile proximity sensors

In this paper we present applications for a robot system whose gripper is equipped with distributed capacitive tactile proximity sensors (CTPS). Firstly, we introduce and evaluate a closed loop control scheme by which it is possible to align the gripper to objects or features of the environment using proximity values alone. We call this control method proximity servoing. It is implemented by equilibrating the sensor signals, resulting in a robust preshape in all 6DOF of the object pose. Objects can then be grasped with virtually no displacement. Secondly, also based on proximity servoing, we demonstrate and evaluate novel ideas for combined haptic and proximity-based exploration. Without any cues from an external camera the system is capable of detecting and exploring features such as curvatures, edges or corners of objects. It is also shown that tactile and proximity exploration steps can be used complementarily to increase efficiency in exploration while delivering accurate object measurements.
Removing Biases in Computed Returns: An Analysis of Bias in Equally-Weighted Return Indexes of REITs

In this paper, we apply the method for removing the upward bias in returns in equally-weighted return indexes developed by Fisher, Weaver, and Webb (2010) to real estate investment trust (REIT) stocks in the US. While we find significant bias in this index, two trends are evident: first, there is less overall bias than in non-REIT stocks, and second, the bias of REIT stocks has declined over time. These trends are consistent with growing listings of REIT stocks on the New York Stock Exchange (NYSE), as well as with increasingly higher stock prices. They also support the hypothesis that there have been significant improvements in the market micro-structure environment of REIT stocks since the early 1970s. We further apply our methodology to REIT stocks listed in the two countries with the largest number of REITs outside the US: Germany and Australia. The results support the hypothesized relationship between index bias and market micro-structure environment.
Engaging Stakeholders in Security Design: An Assumption-Driven Approach

System stakeholders fail to engage with security until comparatively late in the design and development process. User Experience artefacts like personas and scenarios create this engagement, but creating and contextualising them is difficult without real-world, empirical data; such data cannot be easily elicited from disengaged stakeholders. This paper presents an approach for engaging stakeholders in the elicitation and specification of security requirements at a late-stage of a system's design; this approach relies on assumption-based personas and scenarios, which are aligned with security and requirements analysis activities. We demonstrate this approach by describing how it was used to elicit security requirements for a medical research portal.
An approach to prediction of spatio-temporal patterns based on binary neural networks and cellular automata

This paper studies application of binary neural networks (BNN) to prediction for spatio-temporal patterns. In the approach, we assume that the objective spatio-temporal patterns can be approximated by a cellular automaton (CA). Teacher signals are extracted from a part of objective pattern and are used for learning of the BNN. The BNN is used to govern dynamics of CA that outputs prediction patterns. Performing basic numerical experiments, we have investigated relation among the number of teacher signals, the number of hidden neurons and prediction performance. The results provide basic information for development of robust prediction method for digital spatio-temporal patterns.
Frame Selected Approach for Hiding Data within MPEG Video Using Bit Plane Complexity Segmentation

Bit Plane Complexity Segmentation (BPCS) digital picture steganography is a technique to hide data inside an image file. BPCS achieves high embedding rates with low distortion based on the theory that noise-like regions in an image's bit-planes can be replaced with noise-like secret data without significant loss in image quality. In this framework we will propose a collaborate approach for select frame for Hiding Data within MPEG Video Using Bit Plane Complexity Segmentation. This approach will invent high secure data hidden using select frame form MPEG Video and furthermore we will assign the well-built of the approach; during this review the author will answer the question why they used select frame steganography. In additional to the security issues we will use the digital video as a cover to the data hidden. The reason behind opt the video cover in this approach is the huge amount of single frames image per sec which in turn overcome the problem of the data hiding quantity, as the experiment result shows the success of the hidden data within select frame, extract data from the frames sequence. These function without affecting the quality of the video.
Efficient resource allocation scheduling for MIMO-OFDMA-CR downlink systems

In this paper, we consider the resource allocation problem in a Cognitive Radio (CR) downlink system employing both Orthogonal Frequency Division Multiple Access (OFDMA) and Multiple-Input Multiple-Output (MIMO) technologies. We aim at maximizing the total cognitive system throughput subject to the interference power constraint at the Primary Receiver (PR), the total transmission power constraint at the Secondary Base Station (SBS), and the Quality of Service (QoS) requirement for each SU in terms of the data rate and Bit Error Rate (BER). This joint resource allocation problem integrates subcarrier assignment, power allocation, bit loading, and interference management, and can be formulated as a Binary Linear Programming (BLP) framework. Although the Branch and Bound (BnB) algorithm is a general approach to obtain the optimal solution for a BLP problem, it is impractical in this joint resource allocation problem due to the high computational complexity. In order to provide a good balance between performance and computational complexity, a Novel Two-Step based (NTS) algorithm is proposed in this paper. Numerical results show that the NTS algorithm can reduce the computational complexity significantly with only marginal performance degradation.
Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Country Portfolios in Open Economy Macro Models

This paper develops a simple approximation method for computing equilibrium portfolios in dynamic general equilibrium open economy macro models. The method is widely applicable, simple to implement, and gives analytical solutions for equilibrium portfolio positions in any combination or types of asset. It can be used in models with any number of assets, whether markets are complete or incomplete, and can be applied to stochastic dynamic general equilibrium models of any dimension, so long as the model is amenable to a solution using standard approximation methods. We first illustrate the approach using a simple two-asset endowment economy model, and then show how the results extend to the case of any number of assets and general economic structure. Devereux also thanks SSHRC, the Bank of Canada, and the Royal Bank of Canada for financial support. The views in this paper are those of the authors and do not necessarily reflect the views of the Federal Reserve Bank of Dallas or the Federal Reserve System.
LEAST-SQUARES RATIONAL FILTERS FOR THE SOLUTION OF INTERIOR EIGENVALUE PROBLEMS

This paper presents a method for computing partial spectra of Hermitian matrices, based on a subspace iteration method combined with rational filtering. While the general approach is the same as that of the FEAST package, the emphasis of this paper is on the selection of the filter. Specifically, the goal is to show the appeal of a least-squares viewpoint for designing filters. In particular, the paper shows how to define filters with repeated poles and demonstrates that this option can be attractive when iterative methods are used.
Fe b 20 08 Production of X ( 3872 ) at PANDA

The recently discovered X(3872) has many possible interpretations. We study the production of X(3872) with PANDA at GSI for the antiproton-proton collision with two possible interpretations of X(3872). One is as a loosely-bound molecule of D-mesons, while another is a 2P charmonium state χ c1 (2P). Using effective couplings we are able to give numerical predictions for the production near the threshold and the production associated with π 0. The produced X(3872) can be identified with its decay J/ψπ + π −. We also study the possible background near the threshold production for X(3872) → J/ψπ + π −. With the designed luminosity 1.5 −1 fb/year of PANDA we find that the event number of p¯ p → J/ψπ + π − near the threshold is at the order of 10 6 ∼ 10 8 , where the large uncertainty comes from the total decay width of X(3872). Our study shows that at the threshold more than about 60% events come from the decay of X(3872) and two interpretations are distinguishable from the line-shape of the production. With our results we except that the PANDA experiments will shed light on the property of X(3872). X(3872) has been first discovered by Belle collaboration[1] in the decays B → KX(3872) → KJ/ψπ + π −. Later, its existence has been confirmed by experiments of Babar[2], CDF[3] and D0[4]. The word average mass of X(3872) now is m X = (3871.2 ± 0.5)MeV and the total width is Γ X < 2.3MeV at 90% C.L. [5]. The angular distribution analysis made by Belle [6] favors J P C = 1 ++. A similar analysis by CDF [7] collaboration allow J P C = 1 ++ and J P C = 2 −+ as well. The dipion mass distribution in the decay into J/ψπ + π − suggests that the π + π − may come from a ρ resonance, this is supported by the CDF analysis[7]. Many interpretations of X(3872) exist. In [8] it is interpreted as a loosely-bound molecule of D 0 ¯ D * 0 − c.c. In [9, 10] it is suggested that X(3872) is the first existed state of the conventional charmonium χ c1 , i.e., χ c1 (2P). Other possible interpretations are also possible, like the S-wave threshold effect of D 0 ¯ D * 0 [11], a cusp effect[12], a diquark anti-diquark bound state[13], a hybrid charmonium state[14] …
Robust TS Fuzzy Design for Uncertain Nonlinear Systems with State Delays Based on Sliding Mode Control

Abstract: This paper presents the fuzzy design of sliding mode control (SMC) for nonlinear systems with state delay, which can be represented by a Takagi-Sugeno (TS) model with uncertainties. There exist the parameter uncertainties in both the state and input matrices, as well as the unmatched external disturbance. The key feature of this work is the integration of SMC method with H∞ technique such that the robust asymptotically stability with a prescribed disturbance attenuation level γ can be achieved. A sufficient condition for the existence of the desired SMC is obtained by solving a set of linear matrix inequalities (LMIs). The reachability of the specified switching surface is proven. Simulation results show the validity of the proposed method.
Construction of Chromosome Segment Substitution Lines in Peanut (Arachis hypogaea L.) Using a Wild Synthetic and QTL Mapping for Plant Morphology

Chromosome segment substitution lines (CSSLs) are powerful QTL mapping populations that have been used to elucidate the molecular basis of interesting traits of wild species. Cultivated peanut is an allotetraploid with limited genetic diversity. Capturing the genetic diversity from peanut wild relatives is an important objective in many peanut breeding programs. In this study, we used a marker-assisted backcrossing strategy to produce a population of 122 CSSLs from the cross between the wild synthetic allotetraploid (A. ipaënsis×A. duranensis)4x and the cultivated Fleur11 variety. The 122 CSSLs offered a broad coverage of the peanut genome, with target wild chromosome segments averaging 39.2 cM in length. As a demonstration of the utility of these lines, four traits were evaluated in a subset of 80 CSSLs. A total of 28 lines showed significant differences from Fleur11. The line×trait significant associations were assigned to 42 QTLs: 14 for plant growth habit, 15 for height of the main stem, 12 for plant spread and one for flower color. Among the 42 QTLs, 37 were assigned to genomic regions and three QTL positions were considered putative. One important finding arising from this QTL analysis is that peanut growth habit is a complex trait that is governed by several QTLs with different effects. The CSSL population developed in this study has proved efficient for deciphering the molecular basis of trait variations and will be useful to the peanut scientific community for future QTL mapping studies.
Contagious Currency Crises: First Tests

The authors address the fact that the incidence of speculative attacks tends to be temporally correlated; that is, currency crises appear to pass 'contagiously' from one country to another. The paper provides a survey of the theoretical literature. The authors also provide empirical evidence consistent with the contagious nature of currency crises. They estimate that the existence of a currency crisis elsewhere in the world (whether successful or not) raises the probability of an attack on the domestic currency by 8 percent, even after taking account of a variety of domestic political and economic factors. Copyright 1996 by The editors of the Scandinavian Journal of Economics.
An extended vector space model for information retrieval with generalized similarity measures : theory and applications.

We present an Extended Vector Space Model (EVSM) for information retrieval, endowed with a new set of similarity functions. Our model considers records as multisets of tokens. A token weight function maps records into a real vectors. Using this vector representation we define a p-norm of a record and pairwise conjunction and disjunction operations on records. These operations prompt consistent extensions of published set-based similarity functions and yield new `p distance-based similarities. We demonstrate that some well-known similarities form a subset of the new functions resulting from particular choices of token weights and p-values. In so doing,
Dopamine in the history of the schizophrenic brain: recent contributions of brain-imaging studies

Recent developments in positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging have enabled functional measurements of dopamine (DA) transmission at dopamine D2 receptors in the living human brain. Studies using these techniques have demonstrated that, in schizophrenia, increased DA stimulation of striatal D2 receptors is associated with the first episode of illness and subsequent episodes of illness exacerbation. While this dysregulation of DA function is not associated with the severity of positive symptoms per se, increased synaptic DA activity is predictive of good therapeutic response to antipsychotic treatment. Abnormalities of DA function were not detected during periods of illness remission. These findings are integrated into a clinical model proposing that, in schizophrenia, neurodevelopmental abnormalities of cortico-subcortical connectivity result in a vulnerability of the mesolimbic DA system to the development of a process of endogenous sensitization, and that the resulting sustained hyperstimulation of D2 receptors induces neuroplastic changes within corticostriatal-thalamocortical loops, perturbing information processing and underlying the psychotic experience.
Analysis of brushless DC motor in operation with magnetic saturation using FE method

In general, a brushless dc (BLDC) motor is designed to operate in an unsaturated operating area of the laminated steels under the rated current. In some applications, however, it needs to utilize the BLDC motor in an overload operation within a certain period, for example, using in an electric-bicycle. This operation leads to nonlinear behavior in the saturation region. This paper presents a study on effects of magnetic saturation in the BLDC motor when the overload operation is concerned. In this work, the outer rotor BLDC motor was used. The finite element (FE) analysis is applied to study torque and flux density in air-gap according to rotor positions. The relationship between torque and current is deduced to indicate the unsaturated- and saturated area.
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection

Adding examples of the majority class to the training set can have a detrimental e(cid:11)ect on the learner's behavior: noisy or otherwise unreliable examples from the majority class can overwhelm the minority class. The paper discusses criteria to evaluate the utility of classi(cid:12)ers induced from such imbalanced training sets, gives explanation of the poor behavior of some learners under these circumstances, and suggests as a solution a simple technique called one-sided selection of examples
A Powerdomain Construction

We develop a powerdomain construction, $\mathcal{P}[ \cdot ]$, which is analogous to the powerset construction and also fits in with the usual sum, product and exponentiation constructions on domains. The desire for such a construction arises when considering programming languages with nondeterministic features or parallel features treated in a nondeterministic way. We hope to achieve a natural, fully abstract semantics in which such equivalences as $(p\textit{ par } p) = (q\textit{ par }p)$ hold. The domain ($D \to $ Truthvalues) is not the right one, and instead we take the (finitely) generable subsets of D. When D is discrete they are ordered in an elementwise fashion. In the general case they are given the coarsest ordering consistent, in an appropriate sense, with the ordering given in the discrete case. We then find a restricted class of algebraic inductive partial orders which is closed under $\mathcal{P}[ \cdot ]$ as well as the sum, product and exponentiation constructions. This class permits the.
On quantum tunneling in real time

A detailed real time description of quantum tunneling in the semiclassical limit is given, using complex classical trajectories. This picture connects naturally with the ideas of post-selection and weak measurement introduced by Aharonov and collaborators. I show that one can precisely identify the complex classical trajectory which a post-selected tunneling particle has followed, and which dominates the path integral in the limit as Planck's constant ℏ ? > tends to zero. Detailed analytical calculations are presented for tunneling in cubic and quartic potentials. For a long post-selected tunneling time, the imaginary part of the tunneling coordinate is found to achieve very large values just before the particle tunnels. I discuss how the real and imaginary parts of the particle's coordinate may, in principle, be independently measured using weak measurements. It would be very interesting to observe this effect, which would demonstrate the essential role of complex numbers in our closest possible classical description of reality. Extensions to quantum field theory and general relativity are briefly discussed.
Decreased Neuronal Death in Na+/H+ Exchanger Isoform 1-Null Mice after In Vitro and In Vivo Ischemia

Na+/H+ exchanger isoform 1 (NHE1) is a major acid extrusion mechanism after intracellular acidosis. We hypothesized that stimulation of NHE1 after cerebral ischemia contributes to the disruption of Na+ homeostasis and neuronal death. In the present study, expression of NHE1 was detected in cultured mouse cortical neurons. Three hours of oxygen and glucose deprivation (OGD) followed by 21 h of reoxygenation (REOX) led to 68 ± 10% cell death. Inhibition of NHE1 with the potent inhibitor cariporide (HOE 642) or genetic ablation of NHE1 reduced OGD-induced cell death by ∼40–50% (p < 0.05). In NHE1+/+ neurons, OGD caused a twofold increase in [Na+]i, and 60 min REOX triggered a sevenfold increase. Genetic ablation of NHE1 or HOE 642 treatment had no effects on the OGD-mediated initial Na+i rise but reduced the second phase of Na+i rise by ∼40–50%. In addition, 60 min REOX evoked a 1.5-fold increase in [Ca2+]i in NHE1+/+ neurons, which was abolished by inhibition of either NHE1 or reverse-mode operation of Na+/Ca2+ exchange. OGD/REOX-mediated mitochondrial Ca2+ accumulation and cytochrome c release were attenuated by inhibition of NHE1 activity. In an in vivo focal ischemic model, 2 h of left middle cerebral artery occlusion followed by 24 h of reperfusion induced 84.8 ± 8.0 mm3 infarction in NHE1+/+ mice. NHE1+/+ mice treated with HOE 642 or NHE1 heterozygous mice exhibited a ∼33% decrease in infarct size (p < 0.05). These results imply that NHE1 activity disrupts Na+ and Ca2+ homeostasis and contributes to ischemic neuronal damage.
CLASSIFICATION OF VARIOUS EDGE DETECTORS

Edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. This paper introduces a classification of most important and commonly used edge detection algorithms, namely Canny, Sobel, Laplacian.Different categories are included in our classification, and then advantages and disadvantages of some available algorithms within this category are discussed.
Time is of the essence: The causal effect of duration on support for war

It is often observed that public support for asymmetric wars diminishes over time, but the micro foundations of this observation are not fully understood. I present a modified war of attrition model for asymmetric wars which shows that as time passes, belligerents’ expectations for the remaining duration of war increase and they find fighting less favorable. Even when we keep the average rate of casualty accrual constant, the anticipated length of fighting into the future affects expected remaining costs of war. Therefore, in a cost-benefit calculation, observed duration causally affects expected remaining costs of war and, hence, leads to lower levels of support for war over time. The longer the war lasts, the more it will look like a never-ending war which may encourage the strong side to cut its losses short and stop the war. Because duration and aggregate costs are highly correlated in observational data, I use a randomized survey experiment to separate the effect of duration from the effect of costs on support for war. The result is that duration has a negative effect on public support which is independent of aggregate costs. This helps us better understand the limits of democratic states’ capabilities in fighting asymmetric wars and suggests that when military planners ignore the role of time, they deploy weaker-than-optimal forces.
A Business Rules Oriented Requirements Elicitation Method for the Development of Electronic Commerce Applications

This paper describes an action research study which focussed on requirements capture for a subscription-based business-to-consumer (B2C) electronic commerce (EC) system. The study used a recently developed approach to requirements elicitation, the Business Rules Diagram (BRD) Method. The BRD method was adapted somewhat during the study and was found to be helpful in addressing difficulties of requirements elicitation in the development of the EC system because it was able to integrate both business rules and system processing rules. The paper describes the action research conducted, the BRD method that was used, and gives examples of the BRD use on the EC system.