Miracle-dz/UniFAR-FTUs huggingface dataset:
Browsing System for Weblog Articles based on Automated Folksonomy

Folksonomy is a new manual classification scheme based on tagging eorts of users with freely chosen keywords. In folk- sonomy, a user puts an item (i.e. a photo, a book mark) on a server and shares it with other users. The owner and even the other users can attach tags to this item for their own classification, and they reflect many one's viewpoints. Since tags are chosen from users' vocabulary and contain many one's viewpoints, classification results are easy to un- derstand for ordinary users. As a result, folksonomy serves as an ecient browsing method, because users can grasp the essence of items by looking at the tags. Even though the scalability of folksonomy is much higher than the other manual classification schemes, the method cannot deal with tremendous number of items such as whole weblog articles on the Internet. For the purpose of solving this problem, we try to auto- mate folksonomy to enhance weblog browsing. We create a "tagger" which is a program to determine whether a par- ticular tag should be attached to an item. In addition, we propose a method to create a candidate tag set, which is a list of tags that may be attached to items, from weblog cat- egory names. We achieved around 95% precision compared to a candidate tag set created manually.
A Fast Implementation of MPC-KSA Side-Channel Distinguisher

MPC-KSA, a generic side-channel distinguisher based on Kolmogorov-Smirnov Test, turns out to be a promising alternative to its original counterpart MIA. However, current implementations of MPC-KSA are undesirably slow in practice. In light of this, we present a fast implementation for MPC-KSA distinguisher. The main idea of the proposed method is based on an essential observation that one of the two samples used in Kolmogorov-Smirnov Test for MPC-KSA is always a true subset of the other. Using this inherent relationship between these two leakage samples, we reduce sorting times and accelerate the counting operations in Kolmogorov-Smirnov Test. In this way, the time complexity of Kolmogorov-Smirnov Test for MPC-KSA is reduced from O(n^2) to O(n), and that of MPC-KSA is reduced from O(n^2) to O(n log n). Besides this, we present another optimization technique that further improves the performance of MPC-KSA. In order to verify the efficiency of the proposed method, we have performed MPC-KSA against real power traces published in DPA Contest V2. The result shows that an attack against 15,000 traces takes only 3.4 ms per trace by our optimized method while 85.5 ms per trace by the naive method.
Solution of inverse kinematic problem for serial robot using quaterninons

A new inverse kinematic solution for serial robot manipulators is represented in this paper. Major aims of this paper are to obtain singularity avoiding inverse kinematic solutions and formulize kinematic problems in a compact closed form. Our solution method is based on screw theory and it uses quaternions as a screw motion operator. Screw theory methods based on line transformation. All screw motions are represented as a rotation about a line together with a translation along the line with respect to base frame. Thus screw theory methods do not suffer from singularities. Two quaterninos are used to represent screw motion. First one is for orientation and second one is for translation. Thus we formulize kinematic problems in a compact closed form. 6R-DOF industrial robot manipulators forward and inverse kinematic equations are derived using this new formulation and also it compared with D-H convention that is the most common method in robot kinematic.
Nonparametrically estimated diffusion with Poisson jumps: Theory and application on exchange rate

PCT No. PCT/GB86/00090 Sec. 371 Date Nov. 24, 1986 Sec. 102(e) Date Nov. 24, 1986 PCT Filed Feb. 21, 1986 PCT Pub. No. WO86/05045 PCT Pub. Date Aug. 28, 1986.A frequency synthesizer of the fractional N type comprising a voltage controlled oscillator for producing an output signal which is afforded to a phase detector via a variable divider to provide a control signal for the voltage controlled oscillator in the presence of a phase difference between a reference signal from a reference source and the signal afforded thereto from the variable divider wherein the division ratio of the variable divider is set in dependence upon the output of an interpolator arrangement comprising combiner means for receiving a digital input, digital controller means for receiving an output from the combiner means, digital slicer means for receiving an output from the digital controller means, feedback means for affording the output of the digital slicer means to a component for varying the division ratio of the variable divider.
Layer-Based Dome Contents Creation Using Scenario Description Language

In recent years, dome display has become popular, and it is desired to establish a method to create dome image contents easily. In this study, psychophysical experiment was conducted to measure the three-dimensional sensation that was felt in the dome environment quantitatively. Based on the result of this experiment, the layered image representation method was developed. In this method, dome image is generated by placing the two-dimensional layered images in the three-dimensional space. The user can feel the three-dimensional sensation from the image by moving the layers or view position effectively. In addition, the scenario description language and the renderer were developed so that the usual creator can produce the dome image contents easily without the programming. This method was applied to produce some dome image contents and the effectiveness of this method was evaluated.
The Extent of Price Misalignment in Prediction Markets

We study misaligned prices for logically related contracts in prediction markets. First, we uncover persistent arbitrage opportunities for risk-neutral investors between identical contracts on different exchanges. Examining the impact of several thousand dollars of transactions on the exchanges themselves in a randomized field trial, we document that price support extends well beyond what is seen in the published order book and that arbitrage opportunities are significantly larger than purely observational measurements indicate. Second, we demonstrate misalignment among identical and logically related contracts listed on the same exchange that cluster around moments of high information flow, when related contracts systemically shut down or fail to respond efficiently. Third, we document bounded rationality in prediction markets; examples include: consistent asymmetry between buying and selling, leaving the average return for selling higher than for buying; and persistent price lags between exchanges. Despite these signs of departure from theoretical optimality, the markets studied function well on balance, considering the sometimes complex and subtle relationships among contracts. Yet, we detail how to improve prediction markets by moving the burden of finding and fixing logical contradictions into the exchange and providing flexible trading interfaces, both of which free traders to focus on providing meaningful information in the form they find most natural.
Characterization of VuMATE1 Expression in Response to Iron Nutrition and Aluminum Stress Reveals Adaptation of Rice Bean (Vigna umbellata) to Acid Soils through Cis Regulation

Rice bean (Vigna umbellata) VuMATE1 appears to be constitutively expressed at vascular system but root apex, and Al stress extends its expression to root apex. Whether VuMATE1 participates in both Al tolerance and Fe nutrition, and how VuMATE1 expression is regulated is of great interest. In this study, the role of VuMATE1 in Fe nutrition was characterized through in planta complementation assays. The transcriptional regulation of VuMATE1 was investigated through promoter analysis and promoter-GUS reporter assays. The results showed that the expression of VuMATE1 was regulated by Al stress but not Fe status. Complementation of frd3-1 with VuMATE1 under VuMATE1 promoter could not restore phenotype, but restored with 35SCaMV promoter. Immunostaining of VuMATE1 revealed abnormal localization of VuMATE1 in vasculature. In planta GUS reporter assay identified Al-responsive cis-acting elements resided between -1228 and -574 bp. Promoter analysis revealed several cis-acting elements, but transcription is not simply regulated by one of these elements. We demonstrated that cis regulation of VuMATE1 expression is involved in Al tolerance mechanism, while not involved in Fe nutrition. These results reveal the evolution of VuMATE1 expression for better adaptation of rice bean to acid soils where Al stress imposed but Fe deficiency pressure released.
Leadership behaviours that nurture organizational trust: Re-examining the fundamentals

This study examines the variable of trust in organizational relationships and found six leadership behaviors that foster trust. Using a confirmatory factor analysis, these leadership behaviors were examined to see the nature of the relationships among latent variables. The goal of the research was to establish whether there were some fundamental qualities that characterized trust-producing leadership behaviours. The study used data that were gathered from a survey among teachers in Jamaica. The participants work at various levels of the Jamaican education system and they were selected using a convenience sampling technique. The research is timely given the growing evidence of mistrust among leaders and followers in organizations and its findings are significant in that it offers a new and more nuanced perspective on the kinds of leadership behaviours that nurture organizational trust. The instrument used to collect the data was designed by the researcher and tested for reliability using Cronbach’s Alpha and produced a result of . 938. e study proposes recommendations for improving organizational trust.
Efficient and Authenticated Key Agreement Mechanism in Low-Rate WPAN Environment

Generally sensor network and wireless ad hoc network use a symmetric key agreement scheme, although this mechanism has some problems, such as key management, complex network deployment and configuration. This is because the devices of sensor network have limitations such as power, memory, processor speed and implementation cost. The public key algorithms are considered to be too expensive in term of memory and processing requirements. In Low-Rate Wireless Personal Area Network (WPAN), we propose a new key agreement mechanism using the Security Manager (SM) for public key management based on the EC-MQV algorithm. And also, we define two security levels by means of device's power and security policies in the network. We have measured the performance of this mechanism and at the same time meeting the low implementation cost and low power.
Regularized constrained maximum likelihood linear regression for speech recognition

The use of a graph embedding framework is investigated as a regularization technique in the expectation-maximization (EM) algorithm applied to automatic speech recognition (ASR). The technique is motivated by the fact that graph em-beddings of feature vectors have been shown to provide useful characterizations of the underlying manifolds on which these features lie. Incorporating intrinsic graphs that describe these manifolds in the optimization criteria for the EM algorithm has the effect of constraining the solution space in a way that preserves the local structure of the data. Graph embedding based regularization is applied here to estimating parameters in constrained maximum likelihood linear regression (CMLLR) speaker adaptation in continuous density hidden Markov model (CDHMM) based ASR. CMLLR adaptation has been widely used as a maximum likelihood procedure for reducing mismatch between a given HMM model and utterances from an unknown speaker through a linear feature space transformation. However, there is no guarantee that CMLLR transformations will preserve the relationships of the feature vectors along this manifold. It is argued here that graph embedding based regularization will preserve this structure. The impact of this approach on ASR performance is evaluated for unsupervised speaker adaptation on two large vocabulary speech corpora.
Recombinant Interleukin-24 Lacks Apoptosis-Inducing Properties in Melanoma Cells

IL-24, also known as melanoma differentiation antigen 7 (mda-7), is a member of the IL-10 family of cytokines and is mainly produced by Th2 cells as well as by activated monocytes. Binding of IL-24 to either of its two possible heterodimeric receptors IL-20R1/IL-20R2 and IL-22R/IL-20R2 activates STAT3 and/or STAT1 in target tissues such as lung, testis, ovary, keratinocytes and skin. To date, the physiological properties of IL-24 are still not well understood but available data suggest that IL-24 affects epidermal functions by increasing proliferation of dermal cells. In stark contrast to its “normal” and physiological behaviour, IL-24 has been reported to selectively and efficiently kill a vast variety of cancer cells, especially melanoma cells, independent of receptor expression and Jak-STAT signalling. These intriguing properties have led to the development of adenovirally-expressed IL-24, which is currently being evaluated in clinical trials. Using three different methods, we have analysed a large panel of melanoma cell lines with respect to IL-24 and IL-24 receptor expression and found that none of the investigated cell lines expressed sufficient amounts of functional receptor pairs and therefore did not react to IL-24 stimulation with Jak/STAT activation. Results for three cell lines contrasted with previous studies, which reported presence of IL-24 receptors and activation of STAT3 following IL-24 stimulation. Furthermore, evaluating four different sources and modes of IL-24 administration (commercial recombinant IL-24, bacterially expressed GST-IL-24 fusion protein, IL-24 produced from transfected Hek cells, transiently over-expressed IL-24) no induction or increase in cell death was detected when compared to appropriate control treatments. Thus, we conclude that the cytokine IL-24 itself has no cancer-specific apoptosis-inducing properties in melanoma cells.
microRNA-33 Regulates ApoE Lipidation and Amyloid-β Metabolism in the Brain

Dysregulation of amyloid-β (Aβ) metabolism is critical for Alzheimer's disease (AD) pathogenesis. Mounting evidence suggests that apolipoprotein E (ApoE) is involved in Aβ metabolism. ATP-binding cassette transporter A1 (ABCA1) is a key regulator of ApoE lipidation, which affects Aβ levels. Therefore, identifying regulatory mechanisms of ABCA1 expression in the brain may provide new therapeutic targets for AD. Here, we demonstrate that microRNA-33 (miR-33) regulates ABCA1 and Aβ levels in the brain. Overexpression of miR-33 impaired cellular cholesterol efflux and dramatically increased extracellular Aβ levels by promoting Aβ secretion and impairing Aβ clearance in neural cells. In contrast, genetic deletion of mir-33 in mice dramatically increased ABCA1 levels and ApoE lipidation, but it decreased endogenous Aβ levels in cortex. Most importantly, pharmacological inhibition of miR-33 via antisense oligonucleotide specifically in the brain markedly decreased Aβ levels in cortex of APP/PS1 mice, representing a potential therapeutic strategy for AD. SIGNIFICANCE STATEMENT Brain lipid metabolism, in particular Apolipoprotein E (ApoE) lipidation, is critical to Aβ metabolism and Alzheimer's disease (AD). Brain lipid metabolism is largely separated from the periphery due to blood–brain barrier and different repertoire of lipoproteins. Therefore, identifying the novel regulatory mechanism of brain lipid metabolism may provide a new therapeutic strategy for AD. Although there have been studies on brain lipid metabolism, its regulation, in particular by microRNAs, is relatively unknown. Here, we demonstrate that inhibition of microRNA-33 increases lipidation of brain ApoE and reduces Aβ levels by inducing ABCA1. We provide a unique approach for AD therapeutics to increase ApoE lipidation and reduce Aβ levels via pharmacological inhibition of microRNA in vivo.
A review of estimators for the fixed-effects ordered logit model

It is well-known that the dummy variable estimator for the fixed-effects ordered logit model is inconsistent when T, the dimension of the panel, is fixed. This talk will review a range of alternative fixed-effects ordered logit estimators that are based on Chamberlain's fixed-effects estimator for the binary logit model. The talk will present Stata code for the estimators and discuss the available evidence on their finite-sample performance. We will conclude by presenting an empirical example in which the estimators are used to model the relationship between commuting and life satisfaction.
Supporting Modeling of the Social Practices of other Users in Internet Communities

As the Internet has become widely accessible mailing list servers are being used increasingly to support collaborative discourse in scholarly communities. The majority of these communities are open and new users may join who have met few, if any, of the other list members, and come to know them primarily through email discourse. However, new members joining the discourse of an established group may have difficulty calibrating their constructs with those of the existing members, particularly since the disciplinary background of members may not be evident and may vary widely. Major misunderstandings can arise because members use the same term with different technical meanings, or use different terms for the same construct. This article provides a framework for modeling the conceptual structures of members in an Internet community and describes web-based tools that can be used by members to develop models of the social practices of other users in the community and to calibrate their own use of terminology and constructs against those of others.
On Semideenite Programming Relaxations of (2 + P)-sat

Recently, De Klerk, Van Maaren and Warners 7] investigated a relaxation of 3-SAT via semideenite programming. Thus a 3-SAT formula is relaxed to a semideenite feasibility problem. If the feasibility problem is infeasible then a certiicate of unsatissability of the formula is obtained. The authors proved that this approach is exact for several polynomially solvable classes of logical formulae, including 2-SAT, pigeonhole formulae and mutilated chessboard formulae. In this paper we further explore this approach, and investigate the strength of the relaxation on (2 + p)-SAT formulae, i.e. formulae with a fraction p of 3-clauses and a fraction (1 ? p) of 2-clauses. In the rst instance, we provide an empirical computational evaluation of our approach. Secondly, we establish approximation guarantees of randomized and deterministic rounding schemes when the semideenite feasibility problem is feasible.
Design of Concurrent Multiband Doherty Power Amplifiers for Wireless Applications

This paper presents the design of concurrent multiband Doherty power amplifiers (MB-DPA) based on a newly developed multiband impedance inverter network (MB-IIN). The design concept can theoretically be applied to a large number of frequency bands. To support the design of MB-DPAs, a detailed realization of the MB-IIN is introduced for the first time. For verifying the proposed MB-IIN design technique, tri-band and quad-band DPAs for 950, 1500, 2140, and 2650 MHz are designed, implemented, and characterized. Measurement results show good performance in terms of efficiency, linearity, and especially the pronounced Doherty behavior in all targeted bands, demonstrating the prospective applications of the developed MB-IIN in the design of concurrent multiband Doherty power amplifiers for wireless communications.
Neoclassical growth theory

This chapter is an exposition, rather than a survey, of the one-sector neoclassical growth model. It describes how the model is constructed as a simplified description of the real side of a growing capitalist economy that happens to be free of fluctuations in aggregate demand. Once that is done, the emphasis is on the versatility of the model, in the sense that it can easily be adapted, without much complication, to allow for the analysis of important issues that are excluded from the basic model.Among the issues treated are: increasing returns to scale (but not to capital alone), human capital, renewable and non-renewable natural resources, endogenous population growth and technological progress. In each case, the purpose is to show how the model can be minimally extended to allow incorporation of something new, without making the analysis excessively complex.Toward the end, there is a brief exposition of the standard overlapping-generations model, to show how it admits qualitative behavior generally absent from the original model.The chapter concludes with brief mention of some continuing research questions within the framework of the simple model.
Observing Outcomes in Youth Development: An Analysis of Mixed Methods

Organizations such as park and recreation departments, not-for-profit youth groups, churches, and resident and day camps offer opportunities to promote positive youth development through structured recreation activities. Researchers involved with organized camp programs have documented some values of camp experiences relative to growth and development, yet more is to be learned about how camp structures and settings influence positive youth development and how the outcomes of youth development can be measured. The purpose of this analysis was to explore indicators of youth development outcomes through a comparison of two forms of data collected at six camps. The results of comparing quantitative and qualitative data sources to determine if indicators of positive youth development can be observed in a short period of time in the recreational and educational setting of summer camp is described. Quantitative data came from a study that sampled families representing American Camp Association (ACA) accredited camps from across the United States. The data included pre- and post-questionnaires given to campers to measure domains such as positive identity, social skills, positive values, and thinking and physical skills. The instrument used was called the Camper Growth Index-Children (CGI-C). Qualitative data came from on-site observations in six camps that had participated in the quantitative study the prior year. A guided outline was used as the basis for field observations and informal interviews. The observation rankings/ratings and the quantitative results were compared. Two of the three camps showing statistically positive developmental change in campers also were ranked higher in using the focused qualitative observation. Two of the three camps showing no statistically significant change were also identified as ranking lower through the observation process. Observing opportunities for adventure and exploration activities as well as leadership and independence displayed by campers were easiest to observe. Observing indicators for developmental outcomes, including environmental awareness, positive identity, and positive values, were more difficult. Although consistent agreement did not exist in this comparison of quantitative and qualitative data, the two approaches provided some convergence and complementary data. This study provided an opportunity to explore the measurement of camp experiences from an external view along with an internal self-report approach. We examined the micro data obtained from the individual campers in relation to the social environmental macro structure of the camp. Implications exist for triangulating data and validating methods in other recreation organizations to better understand how and why youth development programs in recreation and camp settings work. Given the complexity of the desired outcomes and the individual nature of growth and development, mixed methods and systematic multimeasure approaches offer information for supporting youth development.