Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic description and matching of services for pervasive environments

With the evolution of the World Wide Web and the advancement of the electronic world, the diversity of available services is increasing rapidly.This raises new demands for the efficient discovery and location of heterogeneous services and resources in dynamically changing environments. The traditional approaches for service discovery such as UDDI, Salutation, SLP etc. characterise the services by using predefined service categories and fixed attribute value pairs and the matching techniques in these approaches are limited to syntactic comparisons based on attributes or interfaces. More recently with the popularity of Semantic Web technologies, there has been an increased interest in the application of reasoning mechanisms to support discovery and matching. These approaches provide important directions in overcoming the limitations present in the traditional approaches to service discovery. However, these still have limitations and have overlooked issues that need to be addressed; particularly these approaches do not have an effective ranking criterion to facilitate the ordering of the potential matches, according to their suitability to satisfy the request under concern. This thesis presents a semantic matching framework to facilitate effective discovery of device based services in pervasive environments. This offers a ranking mechanism that will order the available services in the order of their suitability and also considers priorities placed on individual requirements in a request during the matching process. The proposed approach has been implemented in a pervasive scenario for matching device-based services. The Device Ontology which has been developed as part of this research, has been used to describe the devices and their services. The retrieval effectiveness of this semantic matching approach has been formally investigated through the use of human participant studies and the experimental results have indicated that the results correlate well with human perception. The performance of the solution has also been evaluated, to explore the effects of employing reasoning mechanisms on the efficiency of the matching process. Specifically the scalability of the solution has been investigated with respect to the request size and the number of advertisements involved in matching.
Characterization of verotoxigenic Escherichia coli (VTEC) isolates from faeces of small ruminants and environmental samples in southern Jordan

This study was conducted to determine the prevalence rate of VTEC in slaughtered sheep and goats and to evaluate the contamination rate of VTEC in slaughterhouses and butchers' shops in southern Jordan. 201 E. coli isolates from animals' faecal samples and 33 E. coli isolates from slaughterhouse/butcher shop samples were characterized by multiplex PCR (mPCR) reaction for detection of stx1, stx2, eae A and E‐hly A virulent genes. Twenty‐six virulent E. coli isolates were characterized by mPCR to seven different virulent patterns: stx1, stx1+stx2, stx1+eae A, stx1+E‐hly A, stx1+eae A+E‐hly A, eae A and E‐hly A. It was found that VTEC comprised 6.4% and 21% of the total E. coli isolates from slaughtered small ruminants and slaughterhouses/ butchers' shops, respectively. The VTEC comprised 76.2% of the virulent isolates. The proportion of stx1:stx1+stx2 patterns was 19:1. It was found that the characterized complex VTEC (containing eae A and/or E‐hly A) possessed three virulence patterns, including (VTEC) stx1 +eae A, (VTEC/EHEC) stx1 +E‐hly A and (VTEC/EHEC) stx1 +eae A +E‐hly A in percentages of 30%, 25% and 10%, respectively, in relation to the total VTEC isolates. Only two VTEC isolates were characterized as E. coli O157 and O26 serotypes, as highly pathogenic strains. Each of the O157 and O26 VTEC isolates was in a percentage of 0.4% in relation to the total E. coli isolates with virulent patterns stx1, eae A and E‐hly A. The rest of the VTEC isolates were non‐O157 VTEC. The antibiotic sensitivity test showed that the isolated VTEC was highly sensitive to gentamicin and co‐trimoxazole and highly resistant to tetracycline and ampicillin. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
An adaptive optimal-kernel time-frequency representation

Signal-dependent time-frequency representations perform well for a much wider range of signals than any fixed-kernel distribution. The time-frequency representation presented here, based on a signal-dependent radially Gaussian kernel that adapts over time, tracks signal component variations over time and supports online implementation for signals of arbitrary length. The method uses a short-time ambiguity function for kernel optimization and as an intermediate step in computing constant-time slices of the time-frequency representation. While somewhat more expensive than fixed-kernel representation, this technique often provides much better performance. <<ETX>>
DyML: Dynamic Multi-Level flow control for Networks on Chip

A novel hybrid Dynamic Multi-Level (DyML) flow control scheme for Networks-on-Chip is proposed. DyML uses a buffer fluidity flow monitor for real-time monitoring the incoming traffic volume. Instead of buffering as many flits as a router can afford, DyML dynamically adjusts the proper number of buffering flits. Accordingly, DyML causes less in-transit packets in the network, thus improves packet latency and mitigates traffic congestion. Experiments indicated that DyML averagely improves the latency performance of a state-of-the-art routing algorithm (Odd-Even) by 25.43% in synthetic traffics and by 0.90% in real traffics.
Solving “The Retardation Problem” in Primary Education: The Case of South Australia

Historical study of the age-grade efficiency movement which took firm root in North America and the Antipodes during the early 1900s, in particular the preoccupation of education authorities with “the retardation problem” (the number of scholars over-aged for grade in consequence of their failure to make “normal” annual progress through the course of instruction), importantly contributes to understanding the age-grade homogeneity of modern elementary schools. The following account of mid-twentieth century developments in South Australia seeks to provide comparative insights into measures adopted to reduce retardation in the interests of preserving school order, enhancing pedagogical and bureaucratic “efficiency,” improving access to secondary courses, and alleviating the costs of “laggards” to the state.
Taking a new look at the latent semantic analysis approach to information retrieval

Latent Semantic Analysis (LSA) [4] is a mathematical approach to the discovery ofsimilarity relationships among documents, fragments of documents, and the wordsthat occur within collections of documents. Although LSA was originally appliedin the context of information retrieval [4], it has since been successfully applied toa wide variety of text-based tasks [16]. LSA is a variant of the vector space model for information retrieval that usesa reduced-rank approximation to the term-document matrix. In the informationretrieval domain, rank reduction is applied in an e ort to remove the \noise" thatobscures the semantic content of the data [4]. In this context, two claims aretypically made for LSA: that it provides a substantial improvement in retrievalperformanceoverthestandardvectorspacemodelandthatthisimprovementresultsfrom LSA’s ability to solve what is known as the synonymy problem.Despite the many successful applications of LSA, there are a large numberof unanswered questions that bear on where, and in what manner, LSA should beapplied. The purpose of this paper is to begin to investigate these issues in LSA’soriginal context of information retrieval and to pose new directions for future work.Among the more critical questions that we address in this paper are the following: Does LSA reliably improve retrieval performance as compared to the vectorspace model?  Does LSA improve retrieval performance by addressing the synonymy prob-lem?  How can the optimal rank be chosen?  How can relevant and irrelevant documents be distinguished?  And are there alternative matrix techniques that can be used to discoverreduced representations? This paper is organized as follows. In Sections 0.2{0.3, we review the details of thevector space model and LSA. In Section 0.4, we outline our empirical methods. InSection 0.5, we compare the retrieval performances of LSA and the full-rank vectorspace model. In Section 0.6, we evaluate how the performance of LSA depends onits ability to handle synonyms. In Sections 0.7{0.8, we consider the choice of rankand how best to identify relevant documents. In Section 0.9, we examine the useother orthogonal decompositions for rank reduction. Finally, in Section 0.10, wesummarize our results.
Power and energy estimation for Plug-in electric vehicles recharge in metropolitan area

The paper deals with the introduction of the Plug-in Hybrid and Electric Vehicles (PHEV) in the urban areas that leads to a power and energy evaluation of the electric network. In fact in order to improve the diffusion of the hybrid-electric vehicles it is necessary to develop an adequate recharge infrastructure, that requires an electric distribution system able to deliver the requested energy and power. This study presents a model for the evaluation of the different recharge station scenarios and of the algorithm to be applied for the optimal energy assignment strategy.
Stimulus ensemble and cortical layer determine V1 spatial receptive fields

The concept of receptive field is a linear, feed-forward view of visual signal processing. Frequently used models of V1 neurons, like the dynamic linear filter static nonlinearity Poisson spike encoder model, predict that receptive fields measured with different stimulus ensembles should be similar. Here, we tested this concept by comparing spatiotemporal maps of V1 neurons derived from two very different, but commonly used, stimulus ensembles: sparse noise and Hartley subspace stimuli. We found maps from the two methods agreed for neurons in input layer 4C but were very different for neurons in superficial layers of V1. Many layer 2/3 cells have receptive fields with multiple elongated subregions when mapped with Hartley stimuli, but their spatial maps collapse to only a single, less-elongated subregion when mapped with sparse noise. Moreover, for upper layer V1 neurons, the preferred orientation for Hartley maps is much closer to the preferred orientation measured with drifting gratings than is the orientation preference of sparse-noise maps. These results challenge the concept of a stimulus-invariant receptive field and imply that intracortical interactions shape fundamental properties of layer 2/3 neurons.
Chemical Structure-Related Drug-Like Criteria of Global Approved Drugs

The chemical structure of a drug determines its physicochemical properties, further determines its ADME/Tox properties, and ultimately affects its pharmacological activity. Medicinal chemists can regulate the pharmacological activity of drug molecules by modifying their structure. Ring systems and functional groups are important components of a drug. The proportion of non-hydrocarbon atoms among non-hydrogen atoms reflects the heavy atoms proportion of a drug. The three factors have considerable potential for the assessment of the drug-like properties of organic molecules. However, to the best of our knowledge, there have been no studies to systematically analyze the simultaneous effects of the number of aromatic and non-aromatic rings, the number of some special functional groups and the proportion of heavy atoms on the drug-like properties of an organic molecule. To this end, the numbers of aromatic and non-aromatic rings, the numbers of some special functional groups and the heavy atoms proportion of 6891 global approved small drugs have been comprehensively analyzed. We first uncovered three important structure-related criteria closely related to drug-likeness, namely: (1) the best numbers of aromatic and non-aromatic rings are 2 and 1, respectively; (2) the best functional groups of candidate drugs are usually -OH, -COOR and -COOH in turn, but not -CONHOH, -SH, -CHO and -SO3H. In addition, the -F functional group is beneficial to CNS drugs, and -NH2 functional group is beneficial to anti-infective drugs and anti-cancer drugs; (3) the best R value intervals of candidate drugs are in the range of 0.05–0.50 (preferably 0.10–0.35), and R value of the candidate CNS drugs should be as small as possible in this interval. We envision that the three chemical structure-related criteria may be applicable in a prospective manner for the identification of novel candidate drugs and will provide a theoretical foundation for designing new chemical entities with good drug-like properties.
Design and implementation of series elastic actuators for a haptic laparoscopic device

The design of a laparoscopic haptic device based on a 4-DOFs mechanism and Series Elastic Actuators (SEA) is described and the results of the theoretical and experimental examinations are presented. With a sufficient bandwidth and low impedance, the system provided a stable interaction with soft tissues, e.g., human liver, in virtual environments.
Galaxy and Mass Assembly (GAMA): maximum likelihood determination of the luminosity function and its evolution

We describe modifications to the joint stepwise maximum-likelihood method of Cole in order to simultaneously fit the Galaxy and Mass Assembly II galaxy luminosity function (LF), corrected for radial density variations, and its evolution with redshift. The whole sample is reasonably well fitted with luminosity (Qe) and density (Pe) evolution parameters Qe, Pe ≈ 1.0, 1.0 but with significant degeneracies characterized by Qe ≈ 1.4 − 0.4Pe. Blue galaxies exhibit larger luminosity density evolution than red galaxies, as expected. We present the evolution-corrected r-band LF for the whole sample and for blue and red subsamples, using both Petrosian and Sersic magnitudes. Petrosian magnitudes miss a substantial fraction of the flux of de Vaucouleurs profile galaxies: the Sersic LF is substantially higher than the Petrosian LF at the bright end.
Mastermind-like transcriptional co-activator-mediated Notch signaling is indispensable for maintaining conjunctival epithelial identity

Conjunctival goblet cells primarily synthesize mucins to lubricate the ocular surface, which is essential for normal vision. Notch signaling has been known to associate with goblet cell differentiation in intestinal and respiratory tracts, but its function in ocular surface has yet to be fully characterized. Herein, we demonstrate that conditional inhibition of canonical Notch signaling by expressing dominant negative mastermind-like 1 (dnMaml1) in ocular surface epithelia resulted in complete suppression of goblet cell differentiation during and subsequent to development. When compared with the ocular surface of wild-type mice (OSWt), expression of dnMaml1 at the ocular surface (OSdnMaml1) caused conjunctival epithelial hyperplasia, aberrant desquamation, failure of Mucin 5ac (Muc5ac) synthesis, subconjunctival inflammation and epidermal metaplasia in cornea. In addition, conditional deletion of Notch1 from the ocular surface epithelia partially recapitulated OSdnMaml1 phenotypes. We have demonstrated that N1-ICD (Notch1 intracellular domain) transactivated the mouse Krüppel-like factor 4 (Klf) promoter and that Klf4 directly bound to and significantly potentiated the Muc5ac promoter. By contrast, OSdnMaml1 dampened Klf4 and Klf5 expression, and diminished Muc5ac synthesis. Collectively, these findings indicated that Maml-mediated Notch signaling plays a pivotal role in the initiation and maintenance of goblet cell differentiation for normal ocular surface morphogenesis and homeostasis through regulation of Klf4 and Klf5.
A Novel Bipartite Centrosome Coordinates the Apicomplexan Cell Cycle

Apicomplexan parasites can change fundamental features of cell division during their life cycles, suspending cytokinesis when needed and changing proliferative scale in different hosts and tissues. The structural and molecular basis for this remarkable cell cycle flexibility is not fully understood, although the centrosome serves a key role in determining when and how much replication will occur. Here we describe the discovery of multiple replicating core complexes with distinct protein composition and function in the centrosome of Toxoplasma gondii. An outer core complex distal from the nucleus contains the TgCentrin1/TgSfi1 protein pair, along with the cartwheel protein TgSas-6 and a novel Aurora-related kinase, while an inner core closely aligned with the unique spindle pole (centrocone) holds distant orthologs of the CEP250/C-Nap protein family. This outer/inner spatial relationship of centrosome cores is maintained throughout the cell cycle. When in metaphase, the duplicated cores align to opposite sides of the kinetochores in a linear array. As parasites transition into S phase, the cores sequentially duplicate, outer core first and inner core second, ensuring that each daughter parasite inherits one copy of each type of centrosome core. A key serine/threonine kinase distantly related to the MAPK family is localized to the centrosome, where it restricts core duplication to once per cycle and ensures the proper formation of new daughter parasites. Genetic analysis of the outer core in a temperature-sensitive mutant demonstrated this core functions primarily in cytokinesis. An inhibition of ts-TgSfi1 function at high temperature caused the loss of outer cores and a severe block to budding, while at the same time the inner core amplified along with the unique spindle pole, indicating the inner core and spindle pole are independent and co-regulated. The discovery of a novel bipartite organization in the parasite centrosome that segregates the functions of karyokinesis and cytokinesis provides an explanation for how cell cycle flexibility is achieved in apicomplexan life cycles.
Resource-limited genetic programming: the dynamic approach

Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources are tree nodes or code lines. We elaborate on this recent concept, introducing a dynamic approach to managing the amount of resources available for each generation. Initially low, this amount is increased only if it results in better population fitness. We compare the dynamic approach to the static method where a constant amount of resources is available throughout the run, and with the most traditional usage of a depth limit at the individual level. The dynamic approach does not impair performance on the Symbolic Regression of the quartic polynomial, and achieves excellent results on the Santa Fe Artificial Ant problem, obtaining the same fitness with only a small percentage of the computational effort demanded by the other techniques.
A Polyalgorithm for the Numerical Solution of Ordinary Differential Equations

Two variable-order, varlable-step size methods for the numerical solution of the initial value problem for ordinary differential equations are presented. These methods share a common philosophy and have been combined in a single program. The two integrators are for stiff and nonstiff ordinary differential equations, respectively. The former integrator is based on backward differentiation formulas of orders one through five, each of which is stiffly stable, while the latter is based on formulas of Adams-Moulton type of orders one through twelve. Both use a Nordsieck history array; generating polynomials to compute coefficients; and Milne-like estimates of the principal part of the local truncation error to control error, step size, and order. Some numerical results are given.
A machine learning approach to textual entailment recognition

Abstract Designing models for learning textual entailment recognizers from annotated examples is not an easy task, as it requires modeling the semantic relations and interactions involved between two pairs of text fragments. In this paper, we approach the problem by first introducing the class of pair feature spaces, which allow supervised machine learning algorithms to derive first-order rewrite rules from annotated examples. In particular, we propose syntactic and shallow semantic feature spaces, and compare them to standard ones. Extensive experiments demonstrate that our proposed spaces learn first-order derivations, while standard ones are not expressive enough to do so.
Maternal depressive symptoms throughout pregnancy are associated with increased placental glucocorticoid sensitivity

Background Maternal prenatal depression predicts post-partum depression and increases risk of prematurity and low birth weight. These effects may be mediated by altered placental function. We hypothesized that placental function would be influenced by the gestational week of experiencing depressive symptoms and aimed to examine associations between maternal depressive symptoms during pregnancy and placental expression of genes involved in glucocorticoid and serotonin transfer between mother and fetus. Method We studied women participating in a prospective pregnancy cohort: the Prediction and Prevention of Preeclampsia (PREDO) Study, Helsinki, Finland. Maternal depressive symptoms were assessed at 2-week intervals throughout pregnancy in 56 healthy women with singleton, term pregnancies. Messenger ribonucleic acid (mRNA) levels of glucocorticoid (GR) and mineralocorticoid (MR) receptors and serotonin transporter (SLC6A4), 11β-hydroxysteroid dehydrogenase type 1 (HSD1) and 2 (HSD2) were quantified in placental biopsies. Results In adjusted analyses women who reported higher depressive symptoms across the whole pregnancy had higher mRNA levels of GR [effect size 0.31 s.d. units, 95% confidence interval (CI) 0.01–0.60, p = 0.042] and MR (effect size 0.34 s.d. units, 95% CI 0.01–0.68, p = 0.047). These effects were significant for symptoms experienced in the third trimester of pregnancy for GR; findings for MR were also significant for symptoms experienced in the second trimester. GR and MR mRNA levels increased linearly by having the trimester-specific depressive symptoms scores 0, 1 or 2–3 times above the clinical cut-off for depression (p = 0.003, p = 0.049, respectively, and p = 0.004, p = 0.15 in adjusted analyses). Conclusions Our findings offer potential gestational-age-specific mechanisms linking maternal depressive symptoms during pregnancy via placental biology. Future studies will test whether these also link with adverse offspring outcomes.