Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Linked Open Data to Improve Recommending on E-Commerce

In this paper, we present our work in progress on using LOD data to enhance recommending on existing e-commerce sites. We imagine a situation of e-commerce website employing content-based or hybrid recommendation. Such recommending algorithms need relevant object attributes to produce useful recommendations. However, on some domains, usable attributes may be difficult to fill in manually and yet accessible from LOD cloud. For our pilot study, we selected the domain of secondhand bookshops, where recommending is extraordinary difficult because of high ratio of objects/users, lack of significant attributes and small number of the same items in stock. Those difficulties prevents us from successfully apply both collaborative and common content based recommenders. We have queried Czech language mutation of DBPedia in order to receive additional information about objects (books) and use them as Boolean attributes for hybrid matrix factorization method. Our approach is general and can be applied on other domains as well. Proposed methods were successfully tested in an off-line experiment; however we needed to cope with several technical difficulties and obstructions described in the paper, which may hinder widespread of such approaches.
Least-square approximation of second-order nonlinear systems using quasi-perfect periodic sequences

We consider the identification of nonlinear filters using periodic sequences. Perfect periodic sequences have already been proposed for this purpose. A periodic sequence is called perfect for a nonlinear filter if it causes the basis functions to be orthogonal and the autocorrelation matrix to be diagonal. In this paper, we introduce for the same purpose the quasi-perfect periodic sequences. We define a periodic sequence as quasi-perfect for a nonlinear filter if the resulting auto-correlation matrix is highly sparse. The sequence is obtained by means of a simple combinatorial rule and is formed by samples having few discrete levels. These characteristics allow an efficient implementation of the least-squares method for the approximation of certain linear-in-the-parameters nonlinear filters. A real-world experiment shows the good performance obtained.
Can gene flow have negative demographic consequences? Mixed evidence from stream threespine stickleback

Dispersal and gene flow can have both positive and negative effects on population size, but little empirical support from nature exists for the negative effects. We test for such effects in a stream population of threespine stickleback (Gasterosteus aculeatus L.) that is subject to high gene flow from a lake and is thus maladapted to stream conditions. In this system, maladaptation increases with distance along the stream, and this increase is associated with decreasing population densities until stickleback are no longer present (2.5 km from the lake). We conducted field experiments to inform whether this association might reflect a negative role for gene flow in constraining population size and therefore causing a local range limit. We specifically tested predictions deriving from theory: peripheral populations should show partial local adaptation, be under strong selection and not simply be maintained by dispersal. First, a transplant experiment suggested a weak home-site advantage in the peripheral population. Second, a mark–recapture study showed directional selection for a stream-adapted phenotype in 1 of 2 years. Third, another mark–recapture experiment showed that dispersal is limited to the point that positive demographic effects of dispersal are probably minimal. We conclude that, although gene flow does constrain morphological maladaptation in the outlet stream population, the evidence for its contribution to population size and range limits is mixed. We discuss the implications of our work for the study of factors influencing the evolution of species' ranges.
The Impact of Technical Domain Expertise on Search Behavior and Task Outcome

Domain expertise is regarded as one of the key factors impacting search success: experts are known to write more effective queries, to select the right results on the result page, and to find answers satisfying their information needs. Search transaction logs play the crucial role in the result ranking. Yet despite the variety in expertise levels of users, all prior interactions are treated alike, suggesting that weighting in expertise can improve the ranking for informational tasks. The main aim of this paper is to investigate the impact of high levels of technical domain expertise on both search behavior and task outcome. We conduct an online user study with searchers proficient in programming languages. We focus on Java and Javascript, yet we believe that our study and results are applicable for other expertise-sensitive search tasks. The main findings are three-fold: First, we constructed expertise tests that effectively measure technical domain expertise and correlate well with the self-reported expertise. Second, we showed that there is a clear position bias, but technical domain experts were less affected by position bias. Third, we found that general expertise helped finding the correct answers, but the domain experts were more successful as they managed to detect better answers. Our work is using explicit tests to determine user expertise levels, which is an important step toward fully automatic detection of expertise levels based on interaction behavior. A deeper understanding of the impact of expertise on search behavior and task outcome can enable more effective use of expert behavior in search logs - essentially make everyone search as an expert.
On the homogenization of orthotropic elastic composites by the strong-property-fluctuation theory

The strong-property-fluctuation theory (SPFT) provides a general framework for estimating the constitutive parameters of a homogenized composite material (HCM). We developed the elastodynamic SPFT for orthotropic HCMs in order to undertake numerical studies. A specific choice of two-point covariance function―which characterizes the distributional statistics of the generally ellipsoidal particles that constitute the component materials―was implemented. Representative numerical examples revealed that the lowest-order SPFT estimate of the HCM stiffness tensor is qualitatively similar to the estimate provided by the Mori-Tanaka mean-field formalism, but the differences between the two estimates vary as the orthotropic nature of the HCM is accentuated. The second-order SPFT provides a correction to the lowest-order estimate of the HCM stiffness tensor and density. The correction, indicating effective dissipation due to scattering loss, increases as the HCM becomes less orthotropic but decreases as the correlation length becomes smaller.
Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures

Nested loops represent a significant portion of application runtime in multimedia and DSP applications, an important domain of applications for coarse-grained reconfigurable architectures (CGRAs). While conventional approaches to mapping nested loops utilize only a single-dimensional pipelining, which is either along the innermost loop or along an outer loop, in this paper, we explore an orthogonal approach of pipelining along multiple loop dimensions by first flattening the loop nest. To remedy the inevitable problem of repetitive outer-loop computation in flattened loops, we present a small set of special operations that can effectively reduce the number and frequency of micro-operations in the pipelined loop. We also present a loop transformation technique that can make our special operations applicable to a broader range of loops, including those with triangular iteration spaces. Our experimental results using imperfect loops from StreamIt benchmarks demonstrate that our special operations can cover a large portion of operations in flattened loops, improve performance of nested loops by nearly 30% over using loop flattening only, and achieve near-ideal executions on CGRAs for imperfect loops.
Resampling‐Based Empirical Bayes Multiple Testing Procedures for Controlling Generalized Tail Probability and Expected Value Error Rates: Focus on the False Discovery Rate and Simulation Study

This article proposes resampling‐based empirical Bayes multiple testing procedures for controlling a broad class of Type I error rates, defined as generalized tail probability (gTP) error rates, gTP (q,g) = Pr(g (Vn,Sn) > q), and generalized expected value (gEV) error rates, gEV (g) = E [g (Vn,Sn)], for arbitrary functions g (Vn,Sn) of the numbers of false positives Vn and true positives Sn. Of particular interest are error rates based on the proportion g (Vn,Sn) = Vn /(Vn + Sn) of Type I errors among the rejected hypotheses, such as the false discovery rate (FDR), FDR = E [Vn /(Vn + Sn)]. The proposed procedures offer several advantages over existing methods. They provide Type I error control for general data generating distributions, with arbitrary dependence structures among variables. Gains in power are achieved by deriving rejection regions based on guessed sets of true null hypotheses and null test statistics randomly sampled from joint distributions that account for the dependence structure of the data. The Type I error and power properties of an FDR‐controlling version of the resampling‐based empirical Bayes approach are investigated and compared to those of widely‐used FDR‐controlling linear step‐up procedures in a simulation study. The Type I error and power trade‐off achieved by the empirical Bayes procedures under a variety of testing scenarios allows this approach to be competitive with or outperform the Storey and Tibshirani (2003) linear step‐up procedure, as an alternative to the classical Benjamini and Hochberg (1995) procedure. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
High Resolution Traffic Measurement

{PG,1 A chrysanthemum plant having flat capitulum form and pompon capitulum type, bronze ray floret color; upright branching habit and relatively tall plant height; permanence of inflorescence of 14{14 21 days, and good tolerance of inflorescence to frost damage.
Transmitter Waveform and Widely Linear Receiver Design: Noncooperative Games for Wireless Multiple-Access Networks

The issue of noncooperative transceiver optimization in the uplink of a multiuser wireless code division multiple access data network with widely linear detection at the receiver is considered. While previous work in this area has focused on a simple real signal model, in this paper, a baseband complex representation of the data is used so as to properly take into account the I and Q components of the received signal. For the case in which the received signal is improper, a widely linear reception structure, processing separately the data and their complex conjugates, is considered. Several noncooperative resource allocation games are considered for this new scenario, and the performance gains granted by the use of widely linear detection are assessed through theoretical analysis. Numerical results confirm the validity of the theoretical findings and show that exploiting the improper nature of the data in noncooperative resource allocation brings remarkable performance improvements in multiuser wireless systems.
Interplay of secondary pre-service teacher content knowledge (CK), pedagogical content knowledge (PCK) and attitudes regarding scientific inquiry teaching within teacher training

Abstract Background Beginning teachers encounter several constraints with respect to scientific inquiry. Depending on their prior beliefs, knowledge and understanding, these constraints affect their teaching of inquiry. Purpose To investigate quantitatively the longitudinal relationship between pre-service teachers’ knowledge and attitudes on scientific inquiry teaching as part of a short teacher training. Sample N = 121 pre-service teachers for teaching biology at the secondary level in Germany and Switzerland. Design and methods We applied a pre–post-research design. As part of the teachers’ attitudes we measured cognitive beliefs, affective states and self-efficacy. In addition, the teachers completed a test on content knowledge (CK) and pedagogical content knowledge (PCK). To examine the relationship between the different measurements, we applied structure equation modelling. Results There was no significant relation between CK and PCK at both time points. The analysis further demonstrates that the PCK acquired after the training on teaching scientific inquiry predicts subsequent attitudes. Prior CK does not affect subsequent attitudes regarding teaching scientific inquiry. Moreover, prior attitudes do not substantially predict subsequent PCK and CK. In addition, prior teaching experience in biology explains individual differences, and self-efficacy attitudes predict changes in attitudes with respect to teaching scientific inquiry by the end of training. Conclusions It appears that even short PCK training seminars may affect pre-service teacher attitudes towards scientific inquiry. Hence, teaching education programmes should be designed to broaden PCK.
A NEW FAMILY OF 3-DOF PARALLEL ROBOT MANIPULATORS FOR PICK-AND-PLACE OPERATIONS

In the past recent years, parallel kinematic structures have attracted a lot of attention from academic and industrial communities due to their potential applications not only as robot manipulators but also as machine tools. In general, they demonstrate higher performance than serial mechanisms, once parallel mechanisms are much more rigid, accurate and have higher load capacity and, therefore, can be lighter. This work introduces a new family of 3- dof parallel robot manipulator for pick-and-place operations. Its feasible topologies are described in accordance with possible forms of actuation. Important issues such as the position kinematics and workspace evaluation regarding the motion range allowed by installed actuators and joints are analysed.
REGULATION OF VIMENTIN GENE EXPRESSION Preparation of Nuclear Extracts and Partial Protein Purification

The intermediate filament protein, vimentin, is differentially expressed in various tissues and stages of development and in metastatic versus nonmetastatic breast cancer cell lines Previously,we have shown vimen tin expression to be regulated at least in part by a silencer element which binds a Mr 95,000 protein and an overriding, antisilencer element which binds a Mr 148,Â°Â°Â° protein. Southwestern blot (DNA-protein) analyses indicate that silencer protein binding activity is missing in the metastatic breast cancer cell line (MDA-MB-231), where vimentin is highly cx pressed, but is present In the nonmetastatic breast cancer cell line, MCF-7, where vimentin is not expressed. This suggests that the absence of a functional silencer protein may lead to expression of vimentin as well as other genes which contribute to the metastatic state.
Effects of Feedback on Self‐Evaluations and Self‐Regulation in Elementary School

Summary Elementary school learners are typically highly confident when judging accuracy of their test responses, relatively independent of whether these are correct. While feedback has been shown to improve accuracy of adults' and adolescents' self-evaluations and subsequent self-regulation, little is known about beneficial effects for elementary school children. We investigated effects of fine-grained feedback on fourth and sixth graders' self-evaluations and restudy selections by presenting them the ideas they were meant to bring up in their test responses. One group received full-definition feedback standards, whereas the other group received idea-unit feedback standards. The two types of feedback strongly improved fourth and sixth graders' self-evaluations for commission errors and for partially correct responses. While restudy selections before feedback were more adaptive for sixth than fourth graders, age differences disappeared after receiving feedback. Findings imply that feedback standards are a suitable tool to calibrate elementary school learners and to support effective self-regulation.Copyright © 2017 John Wiley & Sons, Ltd.
Approximate Slack Stealing Algorithms for Fixed Priority Pre-emptive Systems

Recent research into the problem of jointly scheduling tasks with both hard and soft time constraints has focused on the development of optimal slack stealing algorithms. Theoretically, these optimal algorithms offer significant performance improvements over previous bandwidth preserving algorithms such as the Sporadic Server or Extended Priority Exchange algorithm. However, there are problems associated with the practical application of both static and dynamic variants of optimal slack stealing algorithms. In this report, we address these problems by providing approximate slack stealing algorithms which offer close to optimal performance with practical utility.
Vrednotenje govornih vmesnikov z ogrodjem PARADISE Melita Hajdinjak , France Miheli č

Povzetek Opišemo potencialno splo šno metodologijo vrednotenja u činkovitosti sistemov za dialog, imenovano ogrodje PARADISE (PARAdigm for DIalogue System Evaluation). Ogrodje PARADISE omogo ča izpeljavo ocene ǔ cinkovitosti sistema kot utě zeno linearno kombinacijo od domene odvisnih parametrov uspe ˇnosti naloge in cen dialoga, zajema pa model u činkovitosti sistema, katerega osnovni cilj je maksimirati zadovoljstvo uporabnikov. Model u činkovitosti sistema, ki ga zajema ogrodje PARADISE, trdi, da lahko funkcijo učinkovitosti sistema dolǒ cimo z multiplo linearno regresijo. Osredoto čimo se na nekatere pomanjkljivosti, te žave in nerě sena vprǎ sanja ogrodja PARADISE – opi šemo vpliv normalizacije na natan č ost napovedovanja zadovoljstva uporabnikov, navedemo regresijske predpostavke in poudarimo pomembnost dobre izbire regresijskih parametrov. Naka žemo tudi morebitne ǔ cinke razpoznavanja govora na rezultate vrednotenja in analiziramo vpra šalnik, na podlagi katerega ogrodje PARADISE dolo ča zadovoljstvo uporabnikov (tj. odvisno spremenljivko funkcije ǔ cinkovitosti). V dosedanjih raziskavah so bile nekatere izmed na štetih tǒck premalo poudarjene, zanemarjene ali celo napa čno interpretirane.
A Low-Cost DC-to-84-GHz Broadband Bondwire Interconnect for SoP Heterogeneous System Integration

A low-cost broadband bondwire interconnect is proposed for heterogeneous system integration. Transmission lines are incorporated with bondwires to form a two-path structure, which can effectively reduce the bondwire effect. Theoretical analysis is provided using a graphical method and it shows that the interconnect can give widest operation bandwidth from dc up to a maximum frequency fmax if the length of the transmission lines is designed at an optimal electrical length θmax. In particular, θmax only depends on the characteristic impedance of the transmission lines. The achievable fmax is limited by the bondwire inductance, i.e., smaller bondwire inductance is preferred to have wider operation bandwidth. An interconnect from a 0.18-μm CMOS chip to a glass-integrated-passive-device carrier is designed to verify the proposed concept. Measured results show that the insertion loss and the return loss can be better than 3.0 and 13.4 dB, respectively, from dc to 84 GHz. The proposed interconnect shows around 3.2 times bandwidth of a single bondwire alone. To the best of authors' knowledge, this work demonstrates the bondwire interconnect with the widest operation bandwidth for heterogeneous system integration by using system-on-package reported thus far.
Passive optical interconnects based on cascading wavelength routing devices for datacenters: A cross-layer perspective

A general passive optical interconnect (POI) architecture based on cascading wavelength routing devices is proposed for datacenters. An analysis shows that with a proper port configuration, the logic topology of the proposed POI is equivalent to a DCell network, which has rich connectivity, leading to a high fault tolerance. Compared with the existing arrayed waveguide grating (AWG)-based architecture, such as H-LION, the proposed architecture has a higher AWG port utilization and lower cabling complexity that result in better scalability. Meanwhile, an impairment-aware scalability analysis is carried out to estimate the impact of in-band crosstalk on the size of the POI. Furthermore, a cross-layer investigation of the proposed POI provides a guideline to select proper physical-layer implementations, including optical interface structure and design of the transceiver, for acceptable network performance. The numerical results reveal that, with a moderate number of shortest paths K and degrees of node D, (a) the bidirectional optical interface is more suitable for large-scale datacenter networks than the unidirectional one, (b) an array of fixed receivers can be replaced by just a small number of tunable receivers with negligible degradation in network performance, and (c) decreasing 50% of the tuning range of the receivers causes only a minor increase of blocking probability, which demonstrates a good balance between the complexity of the transceiver design and network performance.
Differential processing of natural scenes in posterior cortical atrophy and in Alzheimer’s disease, as measured with a saccade choice task

Atrophy of the medial temporal lobe structures that support scene perception and the binding of an object to its context (i.e., the hippocampus and the parahippocampal cortex) appears early in the course of Alzheimer’s disease (AD). However, few studies have investigated scene perception in people with AD. Here, we assessed the ability to find a target object within a natural scene in people with AD and in people with posterior cortical atrophy (PCA, a variant of AD). Pairs of color photographs were displayed on the left and right of a fixation cross for 1 s. In separate blocks of trials, participants were asked to categorize the target (an animal) by either moving their eyes toward the photograph containing the target (the saccadic choice task) or pressing a key corresponding to the target’s location (the manual choice task). Isolated objects and objects within scenes were studied in both tasks. Participants with PCA were more impaired in detection of a target within a scene than participants with AD. The latter’s performance pattern was more similar to that of age-matched controls in terms of accuracy, saccade latencies and the benefit gained from contextual information. Participants with PCA benefited less from contextual information in both the saccade and the manual choice tasks—suggesting that people with posterior brain lesions have impairments in figure/ground segregation and are more sensitive to object crowding.
Chunk-Based Statistical Translation

This paper describes an alternative translation model based on a text chunk under the framework of statistical machine translation. The translation model suggested here first performs chunking. Then, each word in a chunk is translated. Finally, translated chunks are reordered. Under this scenario of translation modeling, we have experimented on a broad-coverage Japanese-English traveling corpus and achieved improved performance.
EFFICIENCY OPTIMIZATION IN A RAINBOW QUANTUM DOT SOLAR CELL A .

In this paper, we have calculated the efficiency and I-V characteristic of a Quantum Dot (QD) Solar Cell (SC) based on multi-stacked different-sized InGaN QDs on GaN substrate. In order to engineering the confinement states of QDs, we have inserted differentsized QDs in i-region of a p-i-n structure which includes different layers. This leads to Rainbow SCs.