Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple Decomposition of Ciphertexts

In this paper, we introduce a new cryptographic model, the encryption scheme with decomposition of ciphertexts which is related to the notion of the secret sharing scheme and additively homomorphism. The model is described as follows: Let R be a receiver, S1, . ,Su be senders, and V1, . ,Vy be servers. By using servers V1, . ,Vy as mediators between servers and the receiver, senders S1, . ,Su want to send information on R(m1, m2, . . . , mu) without providing each messages mi, where R is a operation (for example, R(m1, m2, . . . , mu) = m1 + m2 + · · · + mu). In addition, by using receiver’s public key pk, each sender Si wants to divide a message mi to y shares, and then to distribute a part of y shares to each servers. Furthermore we develop with a variant of the Paillier encryption function which has several properties related to homomorphism [3]. In fact, we construct our scheme by using homomorphic properties of the encryption function and decomposition of (cyclotomic) polynomials.
Meaning transfer in celebrity endorsements: an explanation using metaphors

Abstract The concept of meaning transfer is relevant in the context of celebrity endorsements but rarely tested because of its complexity. This study integrates the basic tenets of meaning transfer model in celebrity endorsements and metaphor theory in marketing. The study builds on the literature on the various streams in celebrity endorsements and notes the contradictions in each. Thereby, it presents a conceptual model of meaning transfer using metaphors as the explaining thread. The model is validated using empirical data collected through a metaphor elicitation method. Based on the results, four propositions are developed related to celebrity metaphors and metaphor transfer in celebrity endorsements. The findings suggest that celebrity meaning(s) could be explained through metaphors and the metaphors may be transferred to a brand from a celebrity endorser via an endorsement. The propositions developed in the study have important implications for researchers and practitioners in celebrity endorsement.
High-Rate Full-Diversity Space-Time-Frequency Code for Multiuser

Abstract In this paper, we have proposed a new space-time-frequency (STF) code for multiuser multipleinput-multiple-output orthogonal-frequency-division-multiplexing (MIMO-OFDM) systems to increase the spectral efficiency. For each user, the proposed code can achieve high symbol rate (rate) with full diversity ( ), where denotes the number of transmit antenna for each user, denotes number of receive antenna at the receiver, represents the number of independent fading block in the codeword and L denotes the number of independent channel taps. This STF code has been constructed from a threaded algebraic layering concept, which combines the space-frequency layering with algebraic component codes. The component code is considered to be an algebraic number theoretic constellation. Each component code is assigned to a “thread” and interleaved over space time and frequency. Diophantine approximation theory is then used to make the threads transparent to each other. In addition, another approximation is used so that the users become transparent to each other. Our STF code does not require the cooperation among the users in uplink process and also does not require zero-padding, which always ensures high symbol rate. The proposed coding schemes are bandwidth efficient as the data streams of all the users are sent simultaneously through all the OFDM sub-channels. Simulation results show that our proposed coding schemes achieve higher coding and diversity gain over recently proposed space-frequency codes.
A Hybrid Particle-Continuum Method for Hydrodynamics of Complex Fluids

A previously developed hybrid particle-continuum method [J. B. Bell, A. Garcia, and S. A. Williams, Multiscale Model. Simul. , 6 (2008), pp. 1256–1280] is generalized to dense fluids and two- and three-dimensional flows. The scheme couples an explicit fluctuating compressible Navier–Stokes solver with the isotropic direct simulation Monte Carlo (DSMC) particle method [A. Donev, A. L. Garcia, and B. J. Alder, J. Stat. Mech. Theory Exp. , 2009 (2009), article P11008]. To achieve bidirectional dynamic coupling between the particle (microscale) and continuum (macroscale) regions, the continuum solver provides state-based boundary conditions to the particle subdomain, while the particle solver provides flux-based boundary conditions for the continuum subdomain. This type of coupling ensures both state and flux continuity across the particle-continuum interface analogous to coupling approaches for deterministic parabolic partial differential equations; here, when fluctuations are included, a small ($<1\%$) mismat.
Fast and robust detection of a known pattern in an image

Many image processing applications require to detect a known pattern buried under noise. While maximum correlation can be implemented efficiently using fast Fourier transforms, detection criteria that are robust to the presence of outliers are typically slower by several orders of magnitude. We derive the general expression of a robust detection criterion based on the theory of locally optimal detectors. The expression of the criterion is attractive because it offers a fast implementation based on correlations. Application of this criterion to Cauchy likelihood gives good detection performance in the presence of outliers, as shown in our numerical experiments. Special attention is given to proper normalization of the criterion in order to account for truncation at the image borders and noise with a non-stationary dispersion.
D 5 -Androstenediol is a natural hormone with androgenic activity in human prostate cancer cells (ARA70yhydroxyf lutamideycasodexytestosteroney7-oxo-DHEA)

It is known that androst-5-ene-3b,17b-diol (Adiol), a precursor of testosterone (T), can activate estrogen target genes. The androgenic activity of Adiol itself, however, is poorly understood. Using a transient transfection assay, we here demonstrate in human prostate cancer cells that Adiol can activate androgen receptor (AR) target genes in the presence of AR, and that AR coactivator ARA70 can further enhance this Adiol-induced AR transcriptional activity. In contrast to this finding, an active metabolite of dehydroepi- androsterone, 7-oxo-dehydroepiandrosterone, does not acti- vate AR target gene in the absence or presence of ARA70. Thin layer chromatography analysis reveals that T, dihydrotestos- terone, and 17b-estradiol are undetectable in human prostate cancer DU145 cells after treatment with Adiol. Additionally, a proteolysis assay shows that a distinct ligand-receptor conformational difference exists between T-AR and Adiol-AR. Together, the above findings and the fact that T, but not Adiol, can induce transcriptional activity in a mutant AR (mtAR708), suggest that, without being metabolized into T, Adiol itself may represent a natural hormone with androgenic activity in human prostate cancer cells. Because two potent antiandrogens, hydroxyf lutamide (Eulexin), and bicaluta- mide (casodex), that are widely used for the treatment of prostate cancer, fail to block Adiol-mediated induction of AR transcriptional activity in prostate cancer cells, the effective- ness of so-called ''total androgen blockage,'' a standard treatment for prostate cancer, may need to be reevaluated.
Factoring past exposure in display advertising targeting

Online advertising is becoming more and more performance oriented where the decision to show an advertisement to a user is made based on the user's propensity to respond to the ad in a positive manner, (e.g., purchasing a product, subscribing to an email list). The user response depends on how well the ad campaign matches to the user's interest, as well as the amount of user's past exposure to the campaign - a factor shown to be impactful in controlled experimental studies. Past exposure builds brand-awareness and familiarity with the user, which in turn leads to a higher propensity of the user to buy/convert on the ad impression. In this paper we propose a model of the user response to an ad campaign as a function of both the interest match and the past exposure, where the interest match is estimated using historical search/browse activities of the user. The goal of this paper is two-fold. First, we demonstrate the role played by the user interest and the past exposure in modeling user response by jointly estimating the parameters of these factors. We test this response model over hundreds of real ad campaigns. Second, we use the findings from this joint model to identify more relevant target users for ad campaigns. In particular, we show that on real advertising data this model combines past exposure together with the user profile to identify better target users over the conventional targeting models.
Link traversal querying for a diverse Web of Data

Traditional approaches for querying the Web of Data often involve centralised warehouses that replicate remote data. Conversely, Linked Data principles allow for answering queries live over the Web by dereferencing URIs to traverse remote data sources at runtime. A number of authors have looked at answering SPARQL queries in such a manner; these link-traversal based query execution (LTBQE) approaches for Linked Data offer up-to-date results and decentralised (i.e., client-side) execution, but must operate over incomplete dereferenceable knowledge available in remote documents, thus affecting response times and “recall” for query answers. In this paper, we study the recall and effectiveness of LTBQE, in practice, for the Web of Data. Furthermore, to integrate data from diverse sources, we propose lightweight reasoning extensions to help find additional answers. From the state-of-the-art which (1) considers only dereferenceable information and (2) follows rdfs:seeAlso links, we propose extensions to consider (3) owl:sameAs links and reasoning, and (4) lightweight RDFS reasoning. We then estimate the recall of link-traversal query techniques in practice: we analyse a large crawl of the Web of Data (the BTC’11 dataset), looking at the ratio of raw data contained in dereferenceable documents vs. the corpus as a whole and determining how much more raw data our extensions make available for query answering. We then stress-test LTBQE (and our extensions) in real-world settings using the FedBench and DBpedia SPARQL Benchmark frameworks, and propose a novel benchmark called QWalk based on random walks through diverse data. We show that link-traversal query approaches often work well in uncontrolled environments for simple queries, but need to retrieve an unfeasible number of sources for more complex queries. We also show that our reasoning extensions increase recall at the cost of slower execution, often increasing the rate at which results return; conversely, we show that reasoning aggravates performance issues for complex queries.
Source (or Part of the following Source): Type Article Title Positive Affect Modulates Flexibility and Evaluative Control Author(s) Positive Affect Modulates Flexibility and Evaluative Control

Copyright It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content licence (like Creative Commons). UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) Abstract ■ The ability to interact with a constantly changing environment requires a balance between maintaining the currently relevant working memory content and being sensitive to potentially relevant new information that should be given priority access to working memory. Mesocortical dopamine projections to frontal brain areas modulate working memory maintenance and flexibility. Recent neurocognitive and neurocomputational work suggests that dopamine release is transiently enhanced by induced positive affect. This ERP study investigated the role of positive affect in different aspects of information processing: in proactive control (context maintenance and updating), reactive control (flexible adaptation to incoming task-relevant information), and evaluative control in an AX-CPT task. Subjects responded to a target probe if it was preceded by a specific cue. Induced positive affect influenced the reactive and evaluative components of control (indexed by the N2 elicited by the target and by the error-related negativity elicited after incorrect responses, respectively), whereas cue-induced proactive preparation and maintenance processes remained largely unaffected (as reflected in the P3b and the contingent negative variation components of the ERP). ■
Fulfilling Their Dreams: Marginalized Urban Youths' Perspectives on a Culturally Sensitive Social and Emotional Learning Program

ABSTRACT A growing body of research suggests educators need to focus on cultivating social and emotional competencies that youth will need to thrive in the new knowledge economy (Durlak, Weissberg, Dymnicki, Taylor, & Schellinger, 2011). For marginalized urban youth, in particular, few have derived programs and interventions to assist with these competencies. This study illuminates the perspectives of 9 African American youth at risk for academic failure taking part in the Fulfill the Dream (FTD) program. FTD is a social and emotional learning curriculum emphasizing social justice and critical consciousness through the utilization of hip-hop culture. Information regarding the nature of the collaboration of this research project and recommendations for education professionals working with marginalized youth are discussed.
Notes on Low-rank Matrix Factorization

Low-rank matrix factorization (MF) is an important technique in data science. The key idea of MF is that there exists latent structures in the data, by uncovering which we could obtain a compressed representation of the data. By factorizing an original matrix to low-rank matrices, MF provides a unified method for dimension reduction, clustering, and matrix completion. In this article we review several important variants of MF, including: Basic MF, Non-negative MF, Orthogonal non-negative MF. As can be told from their names, non-negative MF and orthogonal non-negative MF are variants of basic MF with non-negativity and/or orthogonality constraints. Such constraints are useful in specific senarios. In the first part of this article, we introduce, for each of these models, the application scenarios, the distinctive properties, and the optimizing method. By properly adapting MF, we can go beyond the problem of clustering and matrix completion. In the second part of this article, we will extend MF to sparse matrix compeletion, enhance matrix compeletion using various regularization methods, and make use of MF for (semi-)supervised learning by introducing latent space reinforcement and transformation. We will see that MF is not only a useful model but also as a flexible framework that is applicable for various prediction problems.
Ecophysiology of Brown Ring Disease in the Manila clam Ruditapes philippinarum, experimental and modelling approaches

A bioenergetics model of the Manila clam ( Ruditapes philippinarum) was built to simulate growth, reproduction and spawning in culture an d fishery field sites in Marennes–Oléron Bay (French Atlantic coast). The model i s dr ven by two environmental variables: temperature and food supply. The food supply and the clam’s filtration rate determine soft tissue conditi on index, which in turn drives clam growth and reproduction. The model was cali br ted and then validated using two independent data sets. This paper discusses the difficulty of comparing experiment al data and individual model outputs when asynchronous spawning events o ccur in the studied population. In spite of this difficulty, the simulations reproduce the typical pattern of growth and reproduction of the Manila clam. Simulations showed that water column chlorophyll a concentration is not a perfect estimator of food resources for a near bottom suspe nsion feeder such as the Manila clam and emphasize the lack of knowledge about Ruditapes philippinarumnutrition. The individual growth model presented in this paper will be i ntegrated into a numerical population model describing the host-para site-environment relationship in Brown Ring Disease, caused by the bacterium Vibrio tapetis.
Fe ( III ) mineral precipitated by nitrate-dependent Fe ( II )-oxidizers Fe ( III ) mineral formation and cell encrustation by the nitrate-dependent Fe ( II )-oxidizer strain BoFeN 1

Understanding the mechanisms of anaerobic microbial iron cycling is necessary for a full appreciation of presentday biogeochemical cycling of iron and carbon and for drawing conclusions about these cycles on the ancient Earth. Towards that end, we isolated and characterized an anaerobic nitrate-dependent Fe(II)-oxidizing bacterium from a freshwater sediment. The 16SrRNA gene sequence of the isolated bacterium (strain BoFeN1) places it within the β -Proteobacteria, with Acidovorax sp. strain G8B1 as the closest known relative. During mixotrophic growth with acetate plus Fe(II) and nitrate as electron acceptor, strain BoFeN1 forms Fe(III) mineral crusts around the cells. The amount of the organic cosubstrate acetate present seems to control the rate and extent of Fe(II) oxidation and the viability of the cells. The crystallinity of the mineral products is influenced by nucleation by Fe minerals that are already present in the inoculum. Received 25 July 2005; accepted 14 December 2005 Corresponding author: A. Kappler, Tel. : +49-7071-2974992; fax: +49-7071-295139; e-mail: andreas.kappler@uni-tuebingen.de.
Experiments on the Validation of Sense Annotations Assisted by Lexical Chains

It is widely recognized that the annotation of texts with senses from a computational lexicon is a complex and often subjective task. We propose the use of lexical chains, specifically semantic interconnections, to support validators in the difficult task of assessing the quality of sense assignments. We provide a two-fold experimental evaluation of our approach applied to the validation of manual annotations from the SemCor corpus, and we further assess the method on automatic annotations from the English all-words Senseval 3 competition.
Orientation Behavior Using Registered Topographic Maps

Abstract : The ability to orient toward visual auditory or tactile stimuli is an important skill for systems intended to interact with and explore their environment. In the brain of mammalian vertebrates the Superior Colliculus is specialized for integrating multi-modal sensory information and for using this information to orient the animal to the source sensory stimuli such as noisy, moving objects. Within the Superior Colliculus this ability appears to be implemented using layers of registered, multi-modal topographic maps. Inspired by the structure, function, and plasticity of the Superior Colliculus, we are in the process of implementing multi-modal orientation behaviors on our humanoid robot using registered topographic maps. In this paper we explore integrating visual motion and oculomotor maps to study experience- based map registration mechanisms. Continuing work includes incorporating self- organizing feature map, including more sensory modalities such as auditory and somatorsensory maps and extending be motor repertoire to include the neck and body degrees of freedom for full-body orientation.
Iterative Sequential Decoding at High Spectral EÆciencies

In 1948, Shannon proved that error-free communication is possible over a large class of noisy channels, provided the transmission rate is less than a speci c value, characteristic of the channel, called channel capacity. Since then, much research has been done to nd classes of codes which can attain low error probabilities and yet are structured enough to be decoded with a ordable complexity. One such class is the class of convolutional codes, which is known to contain very powerful codes with large code memories. Unfortunately, an optimal decoding algorithm like the Viterbi algorithm is prohibitively complex when the code memory is large. Sequential decoding, on the other hand, has a complexity that doesn't depend on the code memory, and can therefore be used to decode long powerful codes. The number of computations needed to decode a frame of data is a random variable, however, which makes it necessary to bu er the incoming data. Furthermore, this random variable has an in nite mean for rates beyond the channel cut-o rate R0, a number always somewhat less than capacity, which makes R0 the practical upper limit for sequential decoding. Bootstrap Hybrid Decoding (BHD)[1] is an iterative decoding scheme using sequential decoding which effectively improves R0 by the addition of algebraic constraints across a set of codewords of a convolutional code. The extra redundancy is used to modify the metric used by the sequential decoder, thereby reducing the number of computations performed by the decoder and yielding signi cant performance improvement over ordinary sequential decoding. Trellis Coded Modulation (TCM) is a joint coding/modulation scheme, rst devised by Ungerboeck [2], which achieves signi cant coding gains over un-
Design Robust Backstepping on-line Tuning Feedback Linearization Control Applied to IC Engine

Design a nonlinear controller for second order nonlinear uncertain dynamical systems (e.g., Internal Combustion Engine) is one of the most important challenging works. This paper focuses on the design of a robust backstepping adaptive feedback linearization controller (FLC) for internal combustion (IC) engine in presence of uncertainties. In order to provide high performance nonlinear methodology, feedback linearization controller is selected. Pure feedback linearization controller can be used to control of partly unknown nonlinear dynamic parameters of IC engine. In order to solve the uncertain nonlinear dynamic parameters, implement easily and avoid mathematical model base controller, Mamdani’s performance/error-based fuzzy logic methodology with two inputs and one output and 49 rules is applied to pure feedback linearization controller. The results demonstrate that the error-based fuzzy feedback linearization controller is a model-free controllers which works well in certain and partly uncertain system. Pure feedback linearization controller and error-based feedback linearization like controller with have difficulty in handling unstructured model uncertainties. To solve this problem applied backstepping-based tuning method to error-based fuzzy feedback linearization controller for adjusting the feedback linearization controller gain ( ). This controller has acceptable performance in presence of uncertainty (e.g., overshoot=1%, rise time=0.48 second, steady state error = 1.3e-9 and RMS error=1.8e-11).