Miracle-dz/UniFAR-FTUs huggingface dataset:
Singing voice detection in pop songs using co-training algorithm

We propose a co-training algorithm to detect the singing voice segments from the pop songs. Co-training algorithm leverages compatible and partially uncorrelated information across different features to effectively boost the model from unlabeled data. We adopt this technique to take advantage of abundant unlabeled songs and explore the use of different acoustic features including vibrato, harmonic, attack-decay and MFCC (mel frequency cepstral coefficients). The proposed algorithm substantially reduces the amount of manual labeling work and computational cost. The experiments are conducted on the database of 94 pop solo songs. We achieve an average error rate of 17% in segment level singing voice detection.
Escaping Antiangiogenic Therapy: Strategies Employed by Cancer Cells

Tumor angiogenesis is widely recognized as one of the “hallmarks of cancer”. Consequently, during the last decades the development and testing of commercial angiogenic inhibitors has been a central focus for both basic and clinical cancer research. While antiangiogenic drugs are now incorporated into standard clinical practice, as with all cancer therapies, tumors can eventually become resistant by employing a variety of strategies to receive nutrients and oxygen in the event of therapeutic assault. Herein, we concentrate and review in detail three of the principal mechanisms of antiangiogenic therapy escape: (1) upregulation of compensatory/alternative pathways for angiogenesis; (2) vasculogenic mimicry; and (3) vessel co-option. We suggest that an understanding of how a cancer cell adapts to antiangiogenic therapy may also parallel the mechanisms employed in the bourgeoning tumor and isolated metastatic cells delivering responsible for residual disease. Finally, we speculate on strategies to adapt antiangiogenic therapy for future clinical uses.
Optimisation of the design parameters of an asymmetric brushless DC motor for cogging torque minimisation

This paper presents an investigative study into minimising the cogging torque of a novel three phase surface mounted PM brushless DC motor. The motor is novel because it has a non-integer stator-rotor pole ratio and also asymmetric stator pole arcs. In the paper, the results of the work demonstrate how the optimum stator pole asymmetric arc ratio and pole shoe radial depth or thickness can be found to minimise the cogging torque and to maintain a trapezoidal back EMF shape. An accurate 2D finite element modelling FEM software was employed to numerically analyse the magnetic field distribution inside the motor. The aim of the work is to optimise the design parameters for minimising the cogging torque. The results show that there is one stator pole arc ratio and pole shoe depth combination that produces the lowest cogging torque whilst maintaining a near trapezoidal back emf shape.
Understanding the role of Australian Aboriginal maternal infant care workers: bringing a cultural dimension to a critique of the ideal worker concept

ABSTRACT Models of care that include a prominent role for Aboriginal workers are fundamental to improving the health of Aboriginal Australians. However, tension arises when these models co-exist with mainstream models, contributing to difficulties sustaining an Aboriginal workforce. The ‘ideal worker’ theory is drawn on to explore whether historical workplace norms undermine the roles of Aboriginal workers in an Australian hospital setting. In-depth interviews were conducted with 30 staff and clients of an innovative maternity service, featuring Aboriginal Maternal Infant Care (AMIC) workers caring for Aboriginal women in partnership with midwives. A phenomenological methodology highlighted that unrealistic and inappropriate assumptions embedded in the ideal worker notion underpin many challenges facing AMIC workers. These workers have deep ties to their communities, with extensive responsibilities beyond the workplace. Although the hospital system relies on these ties to engage clients, this time commitment and the unbounded ways in which AMIC workers provide care are not acknowledged. Findings illustrate how the ideal worker concept has a cultural and gender dimension, which undermines AMIC workers and does not value culturally relevant care. This work has implications for ingraining cultural competence into health care, suggesting the wide-ranging contributions of Aboriginal workers must be recognised to achieve sustainable reform.
Development of override ship maneuvering simulator using AR toolkit

This paper proposed override ship maneuvering simulator using actual training ship for young pilot trainees. In this new simulator, augmented reality toolkit was used to reproduce scenery from the bridge of large vessel on the actual training ship. The effectiveness of the developed control system which reproduced the large vessel's maneuverability under wind disturbance with an actual training was indicated with results of various simulation experiments.
IO-Top-k at TREC 2006: Terabyte Track

This paper describes the setup and results of our contribution to the TREC 2006 Terabyte Track. Our implementation was based on the algorithms proposed in [1] \IOTop-k: Index-Access Optimized Top-K Query Processing, VLDB’06", with a main focus on the e‐ciency track.
The effect of using labelled alternatives in stated choice experiments: an exploration focusing on farmland walking trails in Ireland

Discrete choice experiment data aimed at eliciting the demand for recreational walking trails on farmland in Ireland is used to explore whether some respondents reach their choices solely on the basis of the alternative’s label. To investigate this type of processing strategy, the paper exploits a discrete mixtures approach which encompasses random parameters for the attributes. We find evidence that respondents employ different processing strategies for different alternatives and differences in processing emerge between rural and urban based respondents. Results highlight that model fit and policy conclusions are sensitive to assumptions related to processing strategies among respondents
What lies beneath ? A new approach of locating and identifying buried utility assets on site

This outdoor showcase features VIDENTE – an outdoor handheld solution enabling users to gain a glance at the underground infrastructure in their immediate environs. By combining mobile augmented reality (AR) and common wide area tracking technologies VIDENTE provides an enhanced vision of the road surface telling precisely where buried utility assets are situated beneath. The novel approach proposed by VIDENTE demonstrates how accurate underground city models embedded in a location aware context may contribute to successful accomplishment of common field tasks at utility and infrastructure companies. In order to provide an authentic experience of VIDENTE the showcase will employ real-world data retrieved from the operational geospatial database of the local power supplier Salzburg AG. 1 Topic of the showcase This showcase will provide an insight into a novel approach of rapidly locating and identifying hidden underground utility network assets such as cables and pipes in the field. We will present VIDENTE – an outdoor handheld augmented reality system (Fig. 1), which has been developed over the past two years within the scope of a research cooperation of GRINTEC and TU Graz and is now available as a fully functional prototype. VIDENTE is designed to assist field staff of utility and infrastructure companies in their everyday work tasks related to maintenance, outage management, asset record keeping and network planning. By means of augmented reality (AR) and advanced wide area tracking technologies such as GPS and inertial measurement systems VIDENTE provides users with an intuitive visualisation of the local underground infrastructure on a handheld device. That real-time visualisation is achieved by merging continuously streamed video footage of the user’s current environs Fig. 1: VIDENTE handheld augmented reality client platform Fig. 2: Screenshot of a mobile augmented reality visualisation of underground utility assets (“virtual digging hole”)
EVALUATION OF INHIBITION RESPONSE BEHAVIOR USING THE GO/NO-GO PARADIGM IN NORMAL INDIVIDUALS: EFFECTS OF VARIATIONS IN THE TASK DESIGN

Inhibitory control is an important executive function and a deficiency in action inhibition has been characterized as core in a number of neuropsychiatric disorders. The Go/No-Go (GNG) paradigm is a wellknown method to evaluate an inhibitory response. We developed seven versions of the GNG to evaluate the effect of different psychometric properties on GNG scores in normal healthy subjects. Fifty seven healthy subjects including 38 (66.7%) males, aged 18 to 55 (mean±SD: 33.7± 8.1) participated in this study. Each subject conducted seven variants of GNG tasks in a randomized order after being given instruction to respond to a selected stimulus displayed on a screen by pressing the space bar as quickly as possible (Go stimuli) and withholding responses to other stimuli (No-Go stimuli). To develop seven versions of varying difficulty, we manipulated the task context by making changes in stimulus complexity, stimulus presentation time, inter-stimulus intervals and the probability of target occurrence. Decreasing the stimulus presentation time and simultaneously using more complex stimuli caused a significant decrease in true hits on Go trials, which is a good marker for response initiation, while an increase in the ratio of No-Go/Go trials led to a decrease in commission errors in No-Go trials, which is a good marker of response inhibition. Further analysis revealed that reaction time and age did not influence the GNG task scores while education level and gender may affect scores of Go trials but not No-Go trials. Manipulation in both stimulus complexity and presentation time caused significant changes in response initiation scores, while alteration in the ratio of No-Go/Go trials led to significant changes in motor inhibition scores. Optimization of GNG tasks to measure response inhibition and initiation could be achieved with psychometric manipulation on various features of stimulus presentation for different target populations.
Team Cohesion and Individual Well-Being: A Conceptual Analysis and Relational Framework

Abstract The relationship between team cohesion and individual well-being is clear. Being part of a highly cohesive team is likely to contribute to the well-being of individual team members. A multidirectional relationship is likely as individual well-being is also likely to contribute to team cohesion. This chapter examines such critical relationships in the context of team performance. To do so, we draw on the dominant literatures related to these concepts, focusing on two specific types of team cohesion – social cohesion and task cohesion – and two specific types of well-being – subjective well-being (SWB) and psychological well-being (PWB). We contend that social cohesion and SWB are likely to be strongly related, while task cohesion and PWB are likely to share a strong relationship. Therefore, the chapter focuses on the evidence regarding the transactional relationship between social team cohesion and SWB, and transactional relationship between task team cohesion and PWB. Of course, we also recognize the close relationships between social and task cohesion, and between SWB and PWB. We consider the practical implications of studying the relationships between these concepts and put forth a number of recommendations for future research in this area.
Pointers Extraction of Trajectory Data for Semantic Knowledge Discovery

People like services that can help them undertake their daily activities more efficiently. Mobile technologies have enabled deployment of a variety of Internet–based services within the realm of location-based services (LBS) (Steiniger, Neun, and Edwardes 2006). The adoption of these technologies has led to mammoth amounts of trajectory data. To use these services effectively, analysis of LBS data across different application domains is required to identify similar behaviour or discover regularities between users that can be used to predict user's future behaviour (Nanni et al. 2008). Several algorithms have been developed that mine trajectory data specifically for the discovery of periodic movement (Cao, Mamoulis, and Cheung 2007), trajectory classification (Lee et al. 2008), and relative motion patterns (Laube, Imfeld, and Weibel 2005). These algorithms have focused on the geometric properties of trajectories (Bogorny et al. 2011), which are good at discovering patterns, but do not always aid behavioural interpretation. According to Dodge, Weibel & Lautenschütz (2008) movement behavior depends on the context of the movement; where movement happens, what time of day, what day of the week, etc. Thus, methods for interpreting the semantics of context within the knowledge discovery process can lead to discovery of semantic trajectory patterns (Ong et al. 2010). A few researchers such as Borgorny et al. (2009), Baglioni et al. (2009) and Trasarti et al. (2010) have considered semantic information as a means of helping understand trajectory patterns. However, little attention has been given to the preprocessing phase to extract activities and other relevant information that can aid semantic interpretation. This paper proposes a methodology for interpreting moving object behavior by considering types of pointers: stop frequency; and stop duration, to infer moving object activities. Then, an association rule algorithm is used to extract meaningful, understandable, and useful patterns from trajectories.
Direct numerical simulation of a supersonic turbulent boundary layer at Mach 2.5

A direct numerical simulation of a supersonic turbulent boundary layer has been performed. We take advantage of a technique developed by Spalart for incompressible flow. In this technique, it is assumed that the boundary layer grows so slowly in the streamwise direction that the turbulence can be treated as approximately homogeneous in this direction. The slow growth is accounted for by a coordinate transformation and a multiple-scale analysis. The result is a modified system of equations, in which the flow is homogeneous in both the streamwise and spanwise directions, and which represents the state of the boundary layer at a given streamwise location. The equations are solved using a mixed Fourier and B-spline Galerkin method. Results are presented for a case having an adiabatic wall, a Mach number of M = 2.5, and a Reynolds number, based on momentum integral thickness and wall viscosity, of Reθ′ = 849. The Reynolds number based on momentum integral thickness and free-stream viscosity is Reθ = 1577. The results indicate that the Van Driest transformed velocity satisfies the incompressible scalings and a small logarithmic region is obtained. Both turbulence intensities and the Reynolds shear stress compare well with the incompressible simulations of Spalart when scaled by mean density. Pressure fluctuations are higher than in incompressible flow. Morkovin's prediction that streamwise velocity and temperature fluctuations should be anti-correlated, which happens to be supported by compressible experiments, does not hold in the simulation. Instead, a relationship is found between the rates of turbulent heat and momentum transfer. The turbulent kinetic energy budget is computed and compared with the budgets from Spalart's incompressible simulations.
Effects of long memory in the order submission process on the properties of recurrence intervals of large price fluctuations

Understanding the statistical properties of recurrence intervals (also termed return intervals in econophysics literature) of extreme events is crucial to risk assessment and management of complex systems. The probability distributions and correlations of recurrence intervals for many systems have been extensively investigated. However, the impacts of microscopic rules of a complex system on the macroscopic properties of its recurrence intervals are less studied. In this letter, we adopt an order-driven stock model to address this issue for stock returns. We find that the distributions of the scaled recurrence intervals of simulated returns have a power-law scaling with stretched exponential cutoff and the intervals possess multifractal nature, which are consistent with empirical results. We further investigate the effects of long memory in the directions (or signs) and relative prices of the order flow on the characteristic quantities of these properties. It is found that the long memory in the order directions (Hurst index Hs) has a negligible effect on the interval distributions and the multifractal nature. In contrast, the power-law exponent of the interval distribution increases linearly with respect to the Hurst index Hx of the relative prices, and the singularity width of the multifractal nature fluctuates around a constant value when Hx<0.7 and then increases with Hx. No evident effects of Hs and Hx are found on the long memory of the recurrence intervals. Our results indicate that the nontrivial properties of the recurrence intervals of returns are mainly caused by traders' behaviors of persistently placing new orders around the best bid and ask prices.
A discrete particle swarm optimisation algorithm for geographical map contour reconstruction

Nowadays, map images are widely used for many applications. To be well exploited, theses maps generally need a contour extraction operation. However, gaps may result from this phase, which would give rise to the need for reconstructing the missing parts. Map-contour gaps can be caused from low-maps quality or from the contour extraction process. This problem cannot be dealt with simple traditional contour extractors when these gaps are relatively large. This paper proposes a discrete PSO for damaged contour matching in geographical maps. The proposed approach has been validated by applying it on a set of genuine maps.
An efficient multi-target SAR ATR algorithm

The MIT Lincoln Laboratory has developed the ATR (automatic target recognition) system for the DARPA-sponsored SAIP program; the baseline ATR system recognizes 10 GOB (ground order of battle) targets; the enhanced version of SAIP requires the ATR system to recognize 20 GOB targets. This paper compares ATR performance results for 10- and 20-target MSE (mean-squared error) classifiers using medium-resolution SAR (synthetic aperture radar) imagery.
Towards a practical semantic search - case study on the TV guide domain

Ad-hoc semantic search aims at the retrieval from semantic data using queries formulated in a natural language. In this paper we explore several approaches to the ad-hoc semantic search and study their behaviour and quality of results in the scope of a domain specific application. The application concerns with the search in the program listings of TV stations. The goal is to find relevant program items, given a query formulated in natural language, or by using keywords. The queried data is a semantic knowledge base containing the data on the program listings as well as detailed information on distinct program items. We explore two approaches to the entity modelling and entity search, the first is based on traditional information retrieval methods and is inspired by the recent developments in the field. The second methods exploit deeper query analysis, query mapping to entities of the underlying knowledge base and the graph topology exploration to identify answers to the input query. The evaluation of the two approaches shows that the second method outperforms the existing approach, having the mean average precision almost two times higher than the former one. The results indicate that for a well specified, closed domain, ad-hoc semantic retrieval models should go beyond the traditional information retrieval approaches.
Stacks of trigonal curves

In this paper we study the stack Tg of smooth triple covers of a conic; when g � 5 this stack is embedded Mg as the locus of trigonal curves. We show that Tg is a quotient (Ug/ g), where g is a certain algebraic group and Ug is an open subscheme of a g-equivariant vector bundle over an open subscheme of a representation of g. Using this, we compute the integral Picard group of Tg when g > 1. The main tools are a result of Miranda that describes a flat finite triple cover of a scheme S as given by a locally free sheaf E of rank two on S, with a section of Sym 3 E det E _ , and a new description of the stack of globally generated locally free sheaves of fixed rank and degree on a projective line as a quotient stack. In moduli theory, stacks have often been constructed as quotients by group actions. If an algebraic stack F is a quotient stack (X=G), where G is an algebraic group acting on an algebraic variety X, the geometry of F is the geometry of the action of G on X, and one can apply to F the powerful techniques that have been developed for studying invariants of group actions in algebraic topology and algebraic geometry. Even just knowing that such a presentation exists, even without an explicit description of the action, can be useful: but it is even better when the variety X and the group G are fairly simple, so that this description may be used directly to study F. This does not seem possible in many cases: for example, the stack Mg of smooth curves of genus g is of the form (X=G), but when g is large the space X is complicated, and to our knowledge no general result about Mg has been proved by exploiting this presentation. (Of course, in Teichmuller theory one represents Mg as a quotient of an action of the Teichmuller group, which is an infinite discrete group, acting on a ball in C 3g−3 , but this description is topological, and it is hard to use it directly to prove algebraic geometric results about Mg.) It has long been known that in characteristic different from 2 and 3, the stack M1;1 of elliptic curves is a quotient ((X=Gm)), where X is the complement of the hypersurface 4x 3 + 27y 2 = 0 in A 2 , and Gm acts with weights 4 and 6. This gives an easy proof of the fact, due to Mumford ((Mum65)), that the Picard group of M1;1 is cyclic of order 12. In (Vis98), the second author gives a presentation of M2 as a quotient (X=GL2), where X is the scheme of smooth binary forms of degree 6 in two variables (the action of GL2 on X is a twist of the customary one). As an application he computes the Chow ring of M2. This was generalized in (AV04) to the stack Hg of hyperelliptic curves of genus g, which has a presentation as a quotient (Xg=GL2) (if g is even), or (Xg=(GmPGL2)) (if g is odd), where X is the space of smooth binary forms of degree 2g + 2 in two variables; this allows
A polylogarithmic space deterministic streaming algorithm for approximating distance to monotonicity

The distance to monotonicity of a sequence of n numbers is the minimum number of entries whose deletion leaves an increasing sequence. We give the first deterministic streaming algorithm that approximates the distance to monotonicity within a 1 + e factor for any fixed e > 0 and runs in space polylogarithmic in the length of the sequence and the range of the numbers. The best previous deterministic algorithm achieving the same approximation factor required space Ω([EQUATION]n) [9]. Previous polylogarithmic space algorithms were either randomized [10], or had approximation factor no better than 2 [8]. We also present space lower bounds for this problem: Any deterministic streaming algorithm that gets a 1 + e approximation requires space Ω(1/e log2 (n)) and any randomized algorithm requires space Ω(1/e log2(n)/log log(n)).