Miracle-dz/UniFAR-FTUs huggingface dataset:
SUITS4RDF: Incremental Query Construction for the Semantic Web

With the advance of the Semantic Web technology, increasing data will be annotated with computer understandable structures (i.e. RDF and OWL), which allow us to use more expressive queries to improve our ability in information seeking. However, constructing a structured query is a laborious process, as a user has to master the query language as well as the underlying schema of the queried data. In this demo, we introduce SUITS4RDF, a novel interface for constructing structured queries for the Semantic Web. It allows users to start with arbitrary keyword queries and to enrich them incrementally with an arbitrary but valid structure, using computer suggested queries or query components. This interface allows querying the Semantic Web conveniently and efficiently, while enabling users to express their intent precisely.
A multi-pulse diode rectifier with a coupled three-phase reactor and additional small shunt active power filter

The article presents the principle of operation and results of laboratory and simulation tests of a multi- pulse power network converter systems with direct-current voltage output, mating with shunt active power filter (APF). The discussed systems allow for significant reduction of undesirable higher harmonics in the power network current, including the elimination of harmonics of an order of 23 and 25, especially in the local power network supply conditions. The multi-pulse nature of operation of the system is obtained using set of coupled three-phase power network reactors (CTR).
Improving Chunking Accuracy on Croatian Texts by Morphosyntactic Tagging

In this paper, we present the results of an experiment with utilizing a stochastic morphosyntactic tagger as a pre-processing module of a rule-based chunker and partial parser for Croatian in order to raise its overall chunking and partial parsing accuracy on Croatian texts. In order to conduct the experiment, we have manually chunked and partially parsed 459 sentences from the Croatia Weekly 100 kw newspaper sub-corpus taken from the Croatian National Corpus, that were previously also morphosyntactically disambiguated and lemmatized. Due to the lack of resources of this type, these sentences were designated as a temporary chunking and partial parsing gold standard for Croatian. We have then evaluated the chunker and partial parser in three different scenarios: (1) chunking previously morphosyntactically untagged text, (2) chunking text that was tagged using the stochastic morphosyntactic tagger for Croatian and (3) chunking manually tagged text. The obtained F1-scores for the three scenarios were, respectively, 0.874 (P: 0.825, R: 0.930), 0.891 (P: 0.856, R: 0.928) and 0.914 (P: 0.904, R: 0.925). The paper provides the description of language resources and tools used in the experiment, its setup and discussion of results and perspectives for future work.
Science learning in the outdoors to support primary-secondary transition

This article builds on and contributes to work in the area of science learning in the outdoors and addressing transition issues for pupils as they move from primary to secondary school. Previous studies have examined issues in the transition phase between primary and secondary school, but evidence is limited for the use of learning science outdoors as a delivery model to address transition issues. This study provides additional insight into how outdoor learning can be used as a vehicle to address transition issues. It analyses the benefits of outdoor learning through the use of shared learning days with pupils in transition phases across all the cited outcome categories: cognitive, affective, interpersonal/social and physical/behavioural. The article argues that a carefully designed programme of outdoor "shared learning days" with pupils in both phases working together is a sound model to help address the recommendations arising from specific transition issues through the delivery of aligned outcomes and impact from learning science outdoors.
GORENSTEIN DIMENSION OF MODULES

R ring (always commutative and Noetherian) (R, m,k) local ring with maximal ideal m and k = R/m L, M, N, . R-modules (always finitely generated) M HomR(M, R), the dual of M D(M) the Auslander dual of M (Definition 2) σM : M wM∗∗ the natural evaluation map; KM = Ker(σM ), CM = Coker(σM ) G-dimR(M), G-dim(M) Gorenstein dimension of M (Definition 16) G-dim(M) <loc ∞ M has locally finite Gorenstein dimension (Remark 2 after Theorem 29) pdR(M), pd(M) projective dimension of M ≈ projectively equivalent (Definition 3)
Expression Patterns of Neuroligin-3 and Tyrosine Hydroxylase across the Brain in Mate Choice Contexts in Female Swordtails

Choosing mates is a commonly shared behavior across many organisms, with important fitness consequences. Variations in female preferences can be due in part to differences in neural and cellular activity during mate selection. Initial studies have begun to identify putative brain regions involved in mate preference, yet the understanding of the neural processes regulating these behaviors is still nascent. In this study, we characterized the expression of a gene involved in synaptogenesis and plasticity (neuroligin-3) and one that codes for the rate-limiting enzyme in dopamine biosynthesis (tyrosine hydroxylase; TH1) in the female Xiphophorus nigrensis (northern swordtail) brain as related to mate preference behavior. We exposed females to a range of different mate choice contexts including two large courting males (LL), two small coercive males (SS), and a context that paired a large courting male with a small coercive male (LS). Neuroligin-3 expression in a mate preference context (LS) showed significant correlations with female preference in two telencephalic areas (Dm and Dl), a hypothalamic nucleus (HV), and two regions associated with sexual and social behavior (POA and Vv). We did not observe any context- or behavior-specific changes in tyrosine hydroxylase mRNA expression concomitant with female preference in any of the brain regions examined. Analysis of TH and neuroligin-3 expression across different brain regions showed that expression patterns varied with the male social environment only for neuroligin-3, where the density of correlated expression between brain regions was positively associated with mate choice contexts that involved a greater number of courting male phenotypes (LS and LL). This study identified regions showing presumed high levels of synaptic plasticity using neuroligin-3, implicating and supporting their roles in female mate preference, but we did not detect any relationship between tyrosine hydroxylase and mate preference with 30 min of stimulus presentation in X. nigrensis. These data suggest that information about potential mates is processed in select forebrain regions and the entire brain shows different degrees of correlated expression depending on the mate preference context.
Comprehensive Evaluation of AODV in Wireless Multi-Hop Ad Hoc Networks

Ad hoc routing protocols like DSR, AODV, and OLSR have been studied under many simulation tools in many literatures recent years. The evaluation results in these literatures are mostly obtained under the wireless channel model with constant coverage and attenuation, and usually studied under particular scenarios. This lead to a consequence that the simulation result isn't consistent with the actual situation and the modified algorithm can't be well applied to the real environment. We evaluate the AODV protocol more accurately and comprehensively based on the following two conditions: firstly, we apply the NAKAGAMI propagation model which can perform proximately to the real wireless channel. Secondly, we define different topology densities for the simulation. The results are given in forms of good put, delivery rate and end-to-end delay, which showed great statistical proximity to the real scenario. Our results confirmed that the simulation model used in our simulation is more accurate than others, and can provide important reference for evaluating other routing protocols or application traffics in wireless multi-hop ad hoc networks.
An Argument for an Analogical Perspective on Rationality & Decision-Making

Humans are without any doubts the prototypical example of agents that can hold rational beliefs and can show rational behaviour. When modeling human decision-making, it seems reasonable to take the remarkable abilities of humans into account with respect to rational behaviour, but also the apparent deficiencies of humans shining up in certain rationality tasks. Based on well-known challenges for human rationality, together with results from psychological studies on decision-making and from the field of computational modeling of analogymaking, we argue that analysis and modeling of rational belief and behaviour should also consider cognitive mechanisms like analogy-making and coherence maximization of the background theory.
The ‘look-ahead’ professional development model: a professional development model for implementing new curriculum with a focus on instructional strategies

Abstract Professional development is an important part of creating a culture of continuous school improvement to maximize student learning. Rarely do we measure the impact of professional development on teacher learning, implementation and student outcomes. This study describes a professional development strategy for elementary teachers to promote curriculum implementation and instructional strategies of student discourse and reasoning in one Connecticut school district. The study also includes assessment of teacher implementation of the strategies and student learning outcomes. Data sources include teacher surveys, classroom observations and student achievement data. Findings indicate that the professional development model was effective in increasing teachers’ understanding and implementation of instructional strategies which promote student discourse and reasoning. Analysis of teacher feedback suggests an improved learning environment for students. Students were more independent, demonstrated their reasoning more frequently and were more willing to take academic risks. However, these effects were not consistently linked to improvement in standardized achievement tests. This study responds to a need identified in the literature for more robust evaluations of professional development that include analysis of teacher implementation and student outcomes. The observation and survey instruments as well as the professional development model itself could be used in other districts.
Text as social and cultural data : a computational perspective on variation in text

Massive digital datasets, such as social media data, are a promising source to study social and cultural phenomena. They provide the opportunity to study language use and behavior in a variety of social situations on a large scale and often with the availability of detailed contextual information. However, to fully leverage their potential for research the social sciences and the humanities, new computational approaches are needed. This dissertation explores computational approaches to text analysis for studying cultural and social phenomena and focuses on two emerging areas: computational sociolinguistics and computational folkloristics. Both areas share the recognition that variation in text is often meaningful and may provide insights into social and cultural phenomena. This dissertation develops computational approaches to analyze and model variation in text.
First CO J = 6-5 and J = 4-3 Detections in Local ULIRGs: The Dense Gas in Markarian 231 and Its Cooling Budget

We report on detections of the high-excitation CO J = 6-5 and J = 4-3 lines in Mrk 231, a prototypical ultraluminous infrared galaxy (ULIRG) and Seyfert 1 QSO. These observations are combined with CO J = 3-2 and HCN J = 4-3 measurements from this work and CO J = 2-1, CO J = 1-0, 13CO J = 2-1, and HCN J = 1-0 measurements taken from the literature to provide better constraints on the properties of the molecular gas in an extreme starburst/QSO in the local universe. We find that the CO J = 4-3 and J = 6-5 transitions trace a different gas phase from that dominating the lower three CO transitions, with n(H2) ~ (1-3) × 104 cm-3 and Tk ~ 40-70 K. This phase is responsible for the luminous HCN emission and contains most of the H2 gas mass of this galaxy. The total CO line cooling emanating from this dense phase is found similar to that of the [C II] line at 158 μm, suggesting a very different thermal balance to that seen in lower IR luminosity galaxies, and one likely dominated by dense photon-dominated regions. Our dense "sampling" of the CO rotational ladder and the HCN lines enables us to produce well-constrained spectral line energy distributions (SLEDs) for the dense molecular gas in Mrk 231 and compare them to those of high-redshift starbursts, many of which have SLEDs that may be affected by strong lensing. Finally, we use our local molecular line excitation template to assess the capabilities of future centimeter and millimeter/submillimeter arrays in detecting CO and HCN transitions in similar systems throughout the local and distant universe.
Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup

Task 1 of the 2006 KDD Challenge Cup required classification of pulmonary embolisms (PEs) using variables derived from computed tomography angiography. We present our approach to the challenge and justification for our choices. We used boosted trees to perform the main classification task, but modified the algorithm to address idiosyncrasies of the scoring criteria. The two main modifications were: 1) changing the dependent variable in the training set to account for multiple PEs per patient, and 2) incorporating neighborhood information through augmentation of the set of predictor variables. Both of these resulted in measurable predictive improvement. In addition, we discuss a statistically based method for setting the classification threshold.
Geir Evensen Sampling strategies for the EnKF Sampling strategies and square root analysis schemes for the EnKF 1 Author : Geir Evensen (

The Ensemble Kalman Filter (EnKF), in its native formulation as originally introduced by Evensen(1994) and Burgers et al.(1998), has used pure Monte Carlo sampling when generating the initial ensemble, the model noise and the measurement perturbations. This has been a useful approach since it has made it very easy to interpret and understand the method (see Evensen , 2003). Further, sampling errors can be reduced by an increase of the ensemble size.
THE EFFECT OF THE DIMENSIONS OF ORGANIZATIONAL PSYCHOLOGICAL CAPITAL ON HIGH SCHOOL TEACHERS' BURNOUT

The present study aimed to investigate the effect of organizational psychological capital dimensions on the burnout of teachers. The research design is quantitative and the research method is descriptiveanalytical. The statistical population included all high school teachers of Behbahan city‚ Iran (N=450). Sample size (n=208) was determined using Morgan Table and the sample was selected using stratified random sampling method. Maslach Burnout Inventory (2002) and Luthans et al. (2007) psychological capital questionnaire were used for data collection. Simple linear and multivariate regression was used for data analysis. Data analysis showed that there is a negative and significant correlation between psychological capital and teachers’ burnout (-0.682) and 46% of the variance of the variable of burnout is explained by the variable of psychological capital. Data analysis also showed that of the four dimensions of psychological capital, the component of resiliency with (β= -0.83, p 0.05) and self-efficacy with (β=-0.010, p > 0.05) were not able to predict burnout. The results of this study indicated that by increasing teachers' psychological capital, their burnout reduces. Accordingly, in order to reduce teachers' burnout, educational authorities are required to strengthen different dimensions of psychological capital.
An IO Optimized Data Access Method in Distributed Key-Value Storage System

Distributed KEY-VALUE storage system is a new storage framework for cloud computing. It can enable an application to dynamically adapt to growing workloads by increasing the number of servers. However, current distributed KEY-VALUE storage systems are still inefficient on range query for larger result set. When the result set become large, the file layout, cache hit rate are both key points for IO efficiency. In this paper, we will introduce our experience under the development of China Mobile Big Cloud KEY-VLAUE DB (BC-kvDB). We will discuss how we increase IO efficiency in BC-kvDB. BC-kvDB is based on single-table space data model and provides SQL-LIKE DDL and DML language. BC-kvDB's high throughput is benefit from data locality storage, column-storage structure and multi-layer caches. Data can be accessed in local cache or local blocks through block index. Experimental results show that the random writing performance of BC-kvDB is 2.5 times better than HBase and the random reading performance is 1.8-2 times than HBase.
Improving Intergroup Relations with Extended Contact among Young Children: Mediation by Intergroup Empathy and Moderation by Direct Intergroup Contact

A correlational study investigated extended contact as a strategy to improve outgroup attitudes and stereotyping and to prepare children for future contact. Additional aims were to investigate when and why the effects of extended contact occur. In particular, intergroup empathy was tested as a mediator and direct contact (i.e. cross-group friendship) as a moderator of extended contact. Participants were Italian and immigrant elementary school children. Results showed that extended contact was associated with improved intergroup empathy, which, in turn, was associated with more positive outgroup attitudes, stereotypes and behavioural intentions. These effects were significant only among participants with a low or moderate level of direct contact. The theoretical and practical implications of findings are discussed. Copyright © 2016 John Wiley & Sons, Ltd.
Traffic aware dynamic node scheduling for power efficient sensor networks

The paper proposes a new medium-access control (MAC) protocol designed for wireless sensor networks. A wireless sensor network is an array of a large number of sensors interconnected by a multi-hop ad-hoc network. The primary objective for the sensor network is achieving low-power consumption while latency is usually less important compared to traditional wireless networks. This characteristic of a sensor network motivates the design of a new MAC layer so that power consumption is reduced. A novel traffic-aware algorithm based on distributed node schedule management (DMD) protocol is introduced that utilizes a distributed dynamic node scheduling strategy to increase energy saving dramatically, especially in intermediate devices inside a multi-hop network. Simulation results show noticeable power consumption improvements compared to 802.11-like, sensor MAC and dynamic SMAC protocols, especially on the large scale; this has been achieved at the expense of higher latency.
Model selection based on Bayesian predictive densities and multiple data records

Bayesian predictive densities are used to derive model selection rules. The resulting rules hold for sets of data records where each record is composed of an unknown number of deterministic signals common to all the records and a stationary white Gaussian noise. To determine the correct model, the set of data records is partitioned into two disjoint subsets. One of the subsets is used for estimation of the model parameters and the remaining for validation of the model. Two proposed estimators for linear nested models are examined in detail and some of their properties derived. Optimal strategies for partitioning the data records into estimation and validation subsets are discussed and analytical comparisons with the information criterion A of Akaike (AIC) and the minimum description length (MDL) of Schwarz and Rissanen are carried out. The performance of the estimators and their comparisons with the AIC and MDL selection rules are illustrated by numerical simulations. The results show that the Bayesian selection rules outperform the popular AIC and MDL criteria. >
On enabling secure applications through off-line biometric identification

In developing secure applications and systems, designers must often incorporate secure user identification in the design specification. In this paper, we study secure off-line authenticated user identification schemes based on a biometric system that can measure a user's biometrics accurately (up to some Hamming distance). The presented schemes enhance identification and authorization in secure applications by binding a biometric template with authorization information on a token such as a magnetic strip. Also developed are schemes specifically designed to minimize the compromising of a user's private biometrics data, encapsulated in the authorization information, without requiring secure hardware tokens. We also study the feasibility of biometrics performing as an enabling technology for secure systems and applications design. We investigate a new technology which allows a user's biometrics to facilitate cryptographic mechanisms.
Efficient Speaker Recognition based on Multi-class Twin Support Vector Machines and GMMs

This paper proposes a new approach for text-independent speaker recognition using twin support vector machines (TWSVMs) and feature extraction based on Gaussian mixture models (GMMs). Because of the perfect discriminability and the ability of managing large scale dataset, the proposed approach performs better than the traditional support vector machines (SVMs) on Ahumada Biometric Database and Gaudi Biometric Database.
1 2 7 A pr 2 00 5 QMUL-PH-05-07 Inflation from Geometrical Tachyons

We propose an alternative formulation of tachyon inflation using the geometrical tachyon arising from the time dependent motion of a BPS D3-brane in the background geometry due to k parallel NS5-branes arranged around a ring of radius R. Due to the fact that the mass of this geometrical tachyon field is √ 2/k times smaller than the corresponding open-string tachyon mass, we find that the slow roll conditions for inflation and the number of e-foldings can be satisfied in a manner that is consistent with an effective 4dimensional model and with a perturbative string coupling. We also show that the metric perturbations produced at the end of inflation can be sufficiently small and do not lead to the inconsistencies that plague the open string tachyon models. Finally we argue for the existence of a minimum of the geometrical tachyon potential which could give rise to a traditional reheating mechanism. s.thomas@qmul.ac. uk j.ward@qmul.ac. uk
R2P: A Peer-to-Peer Transfer System Based on Role and Reputation

This paper introduces R2P, a Peer-to-Peer (P2P) transfer system with role based and reputation based access control policies. With the combination of user authentication, organization authorization and scoring system, we solve the problem of resource piracy, user privacy and network jam, which exist in traditional P2P systems. The R2P system takes advantage of the X509 certificate to implement the role based access control policy. By assembling the artificial scoring and the automatic scoring components, the system evaluates the quantity and quality of the transfer resources, putting forward the reputation based access control policy. Upon the two policies and the adaptive P2P transfer model, the R2P system provides a secure, controllable and efficient resource transfer community.