Miracle-dz/UniFAR-FTUs huggingface dataset:
[Polish adaptation and validation of the Agoraphobic Cognitions Questionnaire and the Body Sensations Questionnaire].

AIM The present study aimed at the adaptation and validation of two questionnaires assessing fear of bodily sensations (BSQ; suggested Polish name: Kwestionariusz Doznań Cielesnych [KDC]) and concerns specific to agoraphobics (ACQ; suggested Polish name: Kwestionariusz Myśli Towarzyszacych Agorafobii [KMTA]). METHOD The study included a total of 82 patients diagnosed with agoraphobia or panic disorder with agoraphobia according to the diagnostic criteria of the DSM-IV as well as 100 control subjects who did not show the presence of mental disorders. RESULTS The results showed that both adapted questionnaires meet basic psychometric criteria. The Polish-language versions of the ACQ and BSQ are characterized by a high content validity, internal consistency and showed to be stable over a period of 28 days. Moreover, the factor structure of the Polish version of the ACQ showed to be highly similar to the original version. CONCLUSIONS Polish-language versions of the ACQ and BSQ have been found to be reliable and valid research and diagnostic instruments for the assessment of fear for bodily sensations and agoraphobic cognitions. Due to their high efficiency and adequate psychometric characteristics these measures might be very useful in research as well as in the diagnosis and evaluation of therapeutic effects.
Cash Flow , Consumption Risk and Cross Section of Stock Returns

This paper directly links the risk premium on an asset to two characteristics of its underlying cash flow: cash flow covariance with aggregate consumption; and cash flow duration, which measures the temporal pattern of the cash flow. Their impact on the cross-sectional variation of risk premia can be largely captured by a two-factor cash flow model. While cash flow covariance is of firstorder importance in explaining the cross-sectional variation of risk premia, cash flow duration still provides additional explanatory power through a second-order interaction term. Cash flow duration is particularly important in explaining the value premium given as value and growth stocks have significantly different durations. Empirically, I measure both cash flow characteristics using only consumption and accounting data. I show that the two-factor cash flow model is able to explain 82% of the cross-sectional variation in returns on size or book-to-market sorted stock portfolios. ∗Kellogg School of Management, Northwestern University, 2001 Sheridan Rd, Evanston IL 60208. E-mail: zda@kellogg.northwestern. edu. I wish to thank Ravi Jagannathan for his continuing guidance and support. I also received helpful comments and suggestions from Torben Andersen, Ravi Bansal, Kent Daniel, Martin Eichenbaum, Paul Gao, Robert Korajczyk, Arvind Krishnamurthy, Deborah Lucas, Christian Lundblad, Robert McDonald, Christopher Polk, Ernst Schaumburg, George Skoulakis and Yong Wang. I am responsible for any errors or omissions.
A decomposition and reconstruction scheme for broadband modeling of on-chip passive components using the modified T-equivalent circuit topology

This paper presents a state-of-the-art technique for broadband modeling of on-chip passive components. The proposed decomposition and reconstruction methodology can efficiently and accurately establish the broadband SPICE model for an arbitrary multi-port reciprocal component over an extremely large bandwidth. The idea is to decompose a multi-port network into a number of one-port networks which can be lumped modeled simply and easily. Then a reconstruction process, based on the modified T-equivalent circuit topology, is invented to combine these one-port lumped models into a broadband multi-port model. In this modeling study, the S parameters for a series of passive components including spiral inductors, MIM capacitors, bifilar transformers and baluns, fabricated using a 0.18 /spl mu/m RF-CMOS foundry process, have been measured up to 20 GHz. The modeled S parameters agree quite satisfactorily with the measured results over the entire measurement frequency range.
Multiaccess Fading Channels–Part II: Delay-Limited Capacities

— In multiaccess wireless systems, dynamic allocation of resources such as transmit power, bandwidths, and rates is an important means to deal with the time-varying nature of the environment. In this two-part paper, we consider the problem of optimal resource allocation from an information-theoretic point of view. We focus on the multiaccess fading channel with Gaussian noise, and deﬁne two notions of capacity depending on whether the trafﬁc is delay-sensitive or not. In Part I, we have analyzed the throughput capacity region which characterizes the long-term achievable rates through the time-varying channel. However, the delay experienced depends on how fast the channel varies. In the present paper, Part II, we introduce a notion of delay-limited capacity which is the maximum rate achievable with delay independent of how slow the fading is. We characterize the delay-limited capacity region of the multiaccess fading channel and the associated optimal resource allocation schemes. We show that successive decoding is optimal, and the optimal decoding order and power allocation can be found explicitly as a function of the fading states; this is a consequence of an underlying polymatroid structure that we exploit.
Plan Repair as an Extension of Planning

In dynamic environments, agents have to deal with changing situations. In these cases, repairing a plan is often more efficient than planning from scratch, but existing planning techniques are more advanced than existing plan repair techniques. Therefore, we propose a straightforward method to extend planning techniques such that they are able to repair plans. This is possible, because plan repair consists of two different operations: (i) removing obstructing constraints (such as actions) from the plan, and (ii) adding actions to achieve the goals. Adding actions is similar to planning, but as we demonstrate, planning heuristics can also be used for removing constraints, which we call unrefinement. We present a plan repair template that reflects these two operations, and we present a heuristic for unrefinement that can make use of an arbitrary existing planning technique. We apply this method to an existing planning system (VHPOP) resulting in POPR, a plan repair system that performs much better than replanning from scratch, and also significantly better than another recent plan repair method (GPG). Furthermore, we show that the plan repair template is a generalisation of existing plan repair methods.
Modeling and Simulation Optimization Using Evolutionary Computation

Evolutionary computation (EC) is a general term applied to a group of global optimization techniques whose main characteristics are inspired by biological evolution. Instead of working with one possible solution at a time, they usually start with a population of random solutions. The initial population evolves into a better set of solutions through three main processes: selection, recombination, and mutation. Those solutions having greater fitness are preferentially selected for recombination to produce a new set of possible solutions. Mutation is also used to maintain diversity within the newly created solutions. Through these processes, the fittest solutions transfer their characteristics to a new generation of solutions. By iterating over many generations, EC can find solutions to many complex problems. Models and simulations, especially those working as a federation, can serve as the fitness function to determine the value or adequacy of particular solutions. In such federations, genetic programming (GP) or other EC techniques can quickly find optimal or near-optimal solutions for particular problems or situations. The user is not required to systematically search for the optimal solution; the computer accomplishes that task. The tradeoff for accepting this advantage is the requirement for the use of high performance computing resources. In this paper we briefly describe the fundamental characteristics of EC. We also show some of the results obtained during our research and development efforts on different problems like image noise reduction and discrimination of buried unexploded ordnance. We also provide examples of how EC can be used with models and simulations to find optimum solutions to many complicated problems. This technique has great potential for use with models and simulations in a federated environment. The modeling and simulation community needs to become more aware of these powerful EC techniques so they may be applied in a wide range of fields to quickly provide solutions to the warfighter. Distribution A. Approved for public release; distribution unlimited.
The Effect of Tour Leaders’ Emotional Intelligence on Tourists’ Consequences

There has been little discussion on the impact of tour leaders’ emotional intelligence on tourists’ consequences although the study of emotional intelligence has gained attention in the tourism industry. Empirical data to assess emotional intelligence, affect, rapport, and customer satisfaction were collected from 54 tour leaders and 526 tour members participating in group package tours in Taiwan. Cross-level analysis with hierarchical linear models revealed that a tour leaders’ emotional intelligence could cultivate tour members’ positive affect and tour leader–member rapport, and lead to tourists’ satisfaction. Furthermore, the study discusses management implications and suggestions for future research.
RNA association and nucleocytoplasmic shuttling by ataxin-1

Spinocerebellar ataxia type 1 (SCA1) is a dominant neurodegenerative disease caused by the expression of mutant ataxin-1 containing an expanded polyglutamine tract. Ataxin-1 is a nuclear protein that localizes to punctate inclusions similar to neuronal nuclear inclusions seen in many polyglutamine expansion disease proteins. We demonstrate that ataxin-1 localization to inclusions and inclusion dynamics within the nucleus are RNA and transcription dependent, but not dependent on the polyglutamine tract. Ataxin-1 nuclear inclusions are distinct from other described nuclear bodies but recruit the mRNA export factor, TAP/NXF1, in a manner that is enhanced by cell heat shock. By FRAP protein dynamic studies in live cells, we found that wild-type, but not mutant, ataxin-1 was capable of nuclear export. These results suggest that the normal role of ataxin-1 may be in RNA processing, perhaps nuclear RNA export. Thus, nuclear retention of mutant ataxin-1 may be an important toxic gain of function in SCA1 disease.
Origin of orientation-selective EPSPs in simple cells of cat visual cortex

According to current theory, orientation selectivity in cortical simple cells is critically dependent on intracortical synaptic inhibition. In particular, it is thought that IPSPs evoked by stimuli of the nonpreferred orientation are required to prevent a neuron from responding to a broadly tuned excitatory input at any but the preferred orientation. Yet EPSPs recorded in simple cells are in themselves highly orientation-selective. How is this possible, when excitation arises primarily from relay cells of the lateral geniculate nucleus (LGN), which are largely insensitive to orientation? In this paper, the properties of EPSPs are compared with the predictions of a model of geniculate excitation of simple cells. The model, which is derived from the suggestions of Hubel and Wiesel (1962), relies on the now familiar arrangement of the receptive fields of presynaptic geniculate cells into lines parallel to the axis of orientation of the postsynaptic cell. Several properties of the EPSPs observed in simple cells, and the orientation tuning of simple cells observed in extracellular experiments, can be accounted for without resorting to intracortical inhibition.
Spatially greedy scheduling in multi-user MIMO wireless systems

This paper considers the benefit of opportunistic channel state dependent scheduling in a multi-user MIMO wireless system. Channel state dependent scheduling can provide significant performance gains for wireless networks by exploiting the independence of fading statistics across the user population. While opportunistic schedulers typically pick the single "best" user for transmission, MIMO systems can support transmissions to multiple users simultaneously. Consequently, greedy schedulers in MIMO systems can either transmit only to a single-user transmission or allow multiple users to transmit simultaneously. This paper analytically characterizes the performance gains achieved by both single-user and multi-user MIMO schedulers in a dynamic scenario with a time-varying number of users. In particular, the relation between throughput (or equivalently, ergodic capacity) and user experienced file-transfer delay for both single-user and multi-user MIMO schedulers are evaluated. Our main result indicates that multi-user greedy MIMO scheduling lead to lower average user experienced delays compared to single- user greedy scheduling.
Dispositional Flow State among Open Skill Athletes: A Predictor and Quantification of Sport Performance

The present study was aimed to identify the role of Dispositional Flow Scale-2 (DFS-2) among open skill athletes. In order to achieve the objective of the study, Sixty (N=60) male university level open skill athletes of 19 to 25 years of age were selected to act as a subject. A prior consent was sought from all the subjects after being informed about the objective and protocol of a study. The sixty (N=60) subjects were segregated into three groups i.e. N 1 = 20 Basketball, N 2 =20 Handball, N 3 =20 Football. To measure the level of Flow of the subjects, the Dispositional Flow Scale-2 (DFS-2) Questionnaire constructed by Jackson and Eklund (2004) was administered. One way Analysis of Variance (ANOVA) was employed to compare various sports groups i.e. open skill athletes. Where ‘F’ values were found significant, LSD (Least Significant Difference) Post-hoc test was applied to find out the direction and degree of differences. For testing the hypothesis, the level of significance was set at 0.05. Significant differences were found among various sport groups (basketball, handball, and football) on the sub-variables of DFS-2 i.e. unambiguous feedback, sense of control, loss of self-consciousness and overall dispositional flow scale-2. However, no significant differences were found on the sub-variables of DFS-2 i.e. challenge-skill balance, action-awareness merging, clear goals, concentration on the task at hand, transformation of time and autotelic experience.
Focus Groups

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A look into SIMON from a side-channel perspective

SIMON is a lightweight block cipher, specially designed for resource constrained devices that was recently presented by the National Security Agency (NSA). This paper deals with a hardware implementation of this algorithm from a side-channel point of view as it is a prime concern for embedded systems. We present the implementation of SIMON on a Xilinx Virtex-5 FPGA and propose a low-overhead countermeasure using first-order Boolean masking exploiting the simplistic construction of SIMON. Finally we evaluate the side-channel resistance of both implementations.
Effects of Knowledge Representation on Knowledge Acquisition and Problem Solving

The way knowledge is represented influences the effectiveness with which that knowledge can be shared and reconstructed. Of particular interest to this study is the hypertext knowledge representation. Based on the schema theory, we propose a model explaining the effect of the hypertext knowledge representation on the user’s problem solving performance. The sophistication of the knowledge structure that the user can construct from the hypertext knowledge representation is proposed as an intervening variable mediating the effect of hypertext on the problem solving performance. According to our model, the hypertext representation of the “collective schemata” of a group of experts allows the user to acquire a more complex and better integrated knowledge structure that is more similar to the experts’ than does a linear representation. The model further hypothesizes that the complexity, integration and degree of similarity of an individual’s schemata to that of domain experts in turn improves significantly the individual’s problem solving performance. Compared to the linear representation, the hypertext representation of expert knowledge is expected to improve the quality of problem solving in the organization through the facilitation of the acquisition of more sophisticated knowledge structures by the users. A field experiment was used to verify the hypotheses of our model. This research demonstrates the important role of hypertext knowledge representation in supporting knowledge construction and problem solving.
MPCS: A mobility/popularity-based caching strategy for information-centric networks

Information-Centric Networking (ICN) has a great potential to better support the content distribution over the future Internet. Meanwhile, users with mobile devices will also access ICN, introducing a new challenge to ICN providers to handle such mobile content requests. In this paper, a mobility and popularity-based caching strategy is proposed to increase the cache hit rate through WiFi while people are moving from one WiFi hotspot to another. It thus lowers the network traffic from the local ICN to the outside Internet. Specifically, a precise derivation on the content request rate is provided based on the content popularity and user mobility. A novel caching strategy is further developed based on this derivation for both the mobility-oblivious and mobility-aware scenarios. We evaluate different caching strategies with a trace-driven simulation and our new approach can achieve a 33.84% reduction on the network traffic when compared with the caching strategies only considering the content popularity.
Check-in Location Prediction Using Wavelets and Conditional Random Fields

The widespread adoption of ubiquitous devices does not only facilitate the connection of billions of people, but has also fuelled a culture of sharing rich, high resolution locations through check-ins. Despite the profusion of GPS and WiFi driven location prediction techniques, the sparse and random nature of check-in data generation have ushered diverse problems, which have prompted the prediction of future check-ins to be very challenging. In this paper, we propose a novel enhanced location predictor for check-in data that is crafted using Poisson distribution, Wavelets and Conditional Random Fields (CRF). Specifically, we show that check-in generation is governed by the Poisson distribution. In addition, among others, we utilize wavelets to rigorously analyze social influence and learn elusive underlying patterns, as well as human mobility behaviors embedded in check-in data. We utilize this knowledge to institute CRF features, which capture latent trends that govern users' mobility. These CRF features are employed to build a robust predictive model that predicts future locations with enhanced accuracy. We demonstrate the effectiveness of our predictive model on two real datasets. Furthermore, our experiments reveal that our approach outperforms a state-of-the-art work with an accuracy of 36%.
Testing in semiparametric models with interaction, with applications to gene–environment interactions

Summary. Motivated from the problem of testing for genetic effects on complex traits in the presence of gene–environment interaction, we develop score tests in general semiparametric regression problems that involves Tukey style 1 degree‐of‐freedom form of interaction between parametrically and non‐parametrically modelled covariates. We find that the score test in this type of model, as recently developed by Chatterjee and co‐workers in the fully parametric setting, is biased and requires undersmoothing to be valid in the presence of non‐parametric components. Moreover, in the presence of repeated outcomes, the asymptotic distribution of the score test depends on the estimation of functions which are defined as solutions of integral equations, making implementation difficult and computationally taxing. We develop profiled score statistics which are unbiased and asymptotically efficient and can be performed by using standard bandwidth selection methods. In addition, to overcome the difficulty of solving functional equations, we give easy interpretations of the target functions, which in turn allow us to develop estimation procedures that can be easily implemented by using standard computational methods. We present simulation studies to evaluate type I error and power of the method proposed compared with a naive test that does not consider interaction. Finally, we illustrate our methodology by analysing data from a case–control study of colorectal adenoma that was designed to investigate the association between colorectal adenoma and the candidate gene NAT2 in relation to smoking history.
Inhibition of Heat-Stable Toxin-Induced Intestinal Salt and Water Secretion by a Novel Class of Guanylyl Cyclase C Inhibitors.

BACKGROUND Many enterotoxigenic Escherichia coli strains produce the heat-stable toxin, STa, which, by activation of the intestinal receptor-enzyme guanylyl cyclase (GC) C, triggers an acute, watery diarrhea. We set out to identify GCC inhibitors that may be of benefit for the treatment of infectious diarrheal disease. METHODS Compounds that inhibit STa-induced cyclic guanosine 3',5'-monophosphate (cGMP) production were selected by performing cyclase assays on cells and membranes containing GCC, or the related GCA. The effect of leads on STa/GCC-dependent activation of the cystic fibrosis transmembrane conductance regulator anion channel was investigated in T84 cells, and in porcine and human intestinal tissue. Their effect on STa-provoked fluid transport was assessed in ligated intestinal loops in piglets. RESULTS Four N-2-(propylamino)-6-phenylpyrimidin-4-one-substituted piperidines were shown to inhibit GCC-mediated cellular cGMP production. The half maximal inhibitory concentrations were ≤ 5 × 10(-7) mol/L, whereas they were >10 times higher for GCA. In T84 monolayers, these leads blocked STa/GCC-dependent, but not forskolin/adenylyl cyclase-dependent, cystic fibrosis transmembrane conductance regulator activity. GCC inhibition reduced STa-provoked anion secretion in pig jejunal tissue, and fluid retention and cGMP levels in STa-exposed loops. These GCC inhibitors blocked STa-provoked anion secretion in rectal biopsy specimens. CONCLUSIONS We have identified a novel class of GCC inhibitors that may form the basis for development of future therapeutics for (infectious) diarrheal disease.
Handbook of Research on Examining Global Peacemaking in the Digital Age

The Handbook of Research on Examining Global Peacemaking in the Digital Age is a pivotal reference source for the latest research ndings on the utilization of peacemaking in media, leadership, and religion. Featuring extensive coverage on relevant areas such as human rights, spirituality, and the Summer of Peace, this publication is an ideal resource for policymakers, universities and colleges, graduate-level students, and organizations seeking current research on the application of con ict resolution and international negotiation.