Miracle-dz/UniFAR-FTUs huggingface dataset:
An Extensible Object Tracking Architecture for Hyperlinking in Real-time and Stored Video Streams

is not as richly-used a component of hypermedia documents as text, due to the difficulty of automatically treating objects in video frames as identifiable, linkable content. Rather, video tends to be manipulated as frames of pixels with no further subdivisions, or tedious manual markup is used to outline intra- frame link anchors. We describe OvalTine, a system for tracking objects in video streams so that hypermedia link anchors can be associated with objects in the frames without manual markup. We show how OvalTine can be used to provide hyperlinked structure to real-time video streams (such as teleconferences), as well as to mark up stored video (digital libraries) with hyperlinks in automated fashion. We also discuss the software architecture of OvalTine, which is designed to allow multiple tracker algorithms to be composed dynamically, in response to the particulars of the images being tracked.
Wireless handover with application to quadcopter video streaming over an IP network

Monitoring of oilfield well-head installations can be enhanced by Quadcopters equipped with video cameras flying at low altitude. Backhaul of a video stream from a Quadcopter's camera takes place via WiMAX base-stations within the installation. This paper considers a problem that arises: Video stream interruption as a handover occurs between WiMAX base-stations. The paper presents a scheme for hard handover recovery during video streaming to a remote monitoring station. The selective Negative ACKnowledgment (NACK) scheme trades a reduced but acceptable video quality during handover for improved end-to-end latencies compared to unselective NACKs. Both forms of NACK (selective and unselective) promise better video quality (by several dB) than with UDP transport or traditional congestion-controlled streaming, which results in long delays during handovers.
OpenMP Implementation and Performance on Embedded Renesas M32R Chip Multiprocessor

CMP (Chip Multiprocessor) is a promising processor architecture, not only for high performance but also for reducing power and energy consumption in embedded applications. We have implemented an OpenMP compiler for an embedded Renesas M32R chip multiprocessor as a parallel programming environment. In this paper, we report the preliminary performance of OpenMP benchmarks, including scientific and multimedia applications on the M32R CMP. We found that OpenMP allows users to easily obtain reasonable performance improvement using multiple CPUs in the CMP with just a few directives inserted. Also, we discuss the possibility of OpenMP thread run-time scheduling and some compilation techniques for power-aware computing on the CMP.
Stability improvement and power flow control of a grid connected offshore wind farm system using IPFC

Power flow control and stability improvement of a transmission line connected with three energy sources for different loads are studied, in which Flexible AC Transmission system (FACTS) controllers are used to balance the power flow in transmission lines and increase the effective use of transmission line by improving stability of the power system. The Interline Power Flow Controller is the FACTS device used, it consists of static synchronous series compensator to reduce low frequency oscillation, and damping produced is reduced by designing an oscillation damping controller. Among the three sources of energy to transmission line one is considered as renewable wind farm that are capable of producing 9MW power. A Simulink system is developed for the proposed system and the output waveforms are analyzed for various parameters such as voltage, real and reactive power.
Fight or unite: Investigating game genres for image tagging

Applications that use games to harness human intelligence to perform various computational tasks are increasing in popularity and may be termed human computation games (HCGs). Most HCGs are collaborative in nature, requiring players to cooperate within a game to score points. Competitive versions, where players work against each other, are a more recent entrant, and have been claimed to address shortcomings of collaborative HCGs such as quality of computation. To date, however, little work has been conducted in understanding how different HCG genres influence computational performance and players' perceptions of such. In this paper we study these issues using image tagging HCGs in which users play games to generate keywords for images. Three versions were created: collaborative HCG, competitive HCG, and a control application for manual tagging. The applications were evaluated to uncover the quality of the image tags generated as well as users' perceptions. Results suggest that there is a tension between entertainment and tag quality. While participants reported liking the collaborative and competitive image tagging HCGs over the control application, those using the latter seemed to generate better quality tags. Implications of the work are discussed. © 2011 Wiley Periodicals, Inc.
IMPACT OF PERSONALITY TRAITS ON ETHICAL BEHAVIOR

Personality traits and ethical behavior have a significant psychological characteristics, which can be utilized as an important interpreters of many outcomes. However, they are commonly studied in separate ways, providing a path to create an understanding of their relationships. The research study has reviewed different perspectives in regards to understand the nature of the relationships between personality traits and ethical behavior and conceptualized them so that it can provide support for understanding the strength of these relationships. Therefore, this study aims to analyze the link between five factors of personality traits and ethical behavior. Neuroticism, extraversion, openness to experience, agreeableness and conscientiousness as the main factors of personality traits have been hypothesized to predict ethical behavior. By using an adapted survey questionnaire, data were collected from teaching staff at public sector higher education institutions of Sindh, Pakistan. Multiple regression analysis was applied to 150 samples and this showed that neuroticism has expected negative association with ethical behavior however extroversion has shown negative impact on ethical behavior, though openness to experience, agreeableness and conscientiousness have shown positive and significant impact on the ethical behaviour of employees. This research study has developed the foundation that more perceptive based traits are more strongly related to ethics and more emotionally based traits are less strongly related to values. This is an empirical study which may contribute to the literature on ethical behaviour, psychology and employee development.
An analysis of the far-field response to external forcing of a suspension in the Stokes flow in a parallel-wall channel

The leading-order far-field scattered flow produced by a particle in a parallel-wall channel under creeping-flow conditions has a form of the parabolic velocity field driven by a two-dimensional dipolar pressure distribution. We show that in a system of hydrodynamically interacting particles, the pressure dipoles contribute to the macroscopic suspension flow in a similar way as the induced electric dipoles contribute to the electrostatic displacement field. Using this result we derive macroscopic equations governing suspension transport under the action of a lateral force, a lateral torque, or a macroscopic pressure gradient in the channel. The matrix of linear transport coefficients in the constitutive relations linking the external forcing to the particle and fluid fluxes satisfies the Onsager reciprocal relation. The transport coefficients are evaluated for square and hexagonal periodic arrays of fixed and freely suspended particles, and a simple approximation in a Clausius–Mossotti form is proposed fo.
Fast and sensitive mapping of error-prone nanopore sequencing reads with GraphMap

Exploiting the power of nanopore sequencing requires the development of new bioinformatics approaches to deal with its specific error characteristics. We present the first nanopore read mapper (GraphMap) that uses a read-funneling paradigm to robustly handle variable error rates and fast graph traversal to align long reads with speed and very high precision (>95%). Evaluation on MinION sequencing datasets against short and long-read mappers indicates that GraphMap increases mapping sensitivity by at least 15-80%. GraphMap alignments are the first to demonstrate consensus calling with <1 error in 100,000 bases, variant calling on the human genome with 76% improvement in sensitivity over the next best mapper (BWA-MEM), precise detection of structural variants from 100bp to 4kbp in length and species and strain-specific identification of pathogens using MinION reads. GraphMap is available open source under the MIT license at https://github.com/isovic/graphmap.
Feature extraction for identification of extension and flexion movement of wrist using EMG signals

Electromyography (EMG) is an experimental technique developed for the purpose of studying muscle movement. Information from raw EMG signals is extracted by application of “Wavelet Transform”. This technique holds good in handling non stationary signals which ordinary Fourier Transform and even Short Time Fourier Transform fail to handle. In this work, by applying wavelet transform, signal was first de-noised and then some unique parameters were calculated. This set of features were then used as reference to identify different movements. Later, signals from test subjects were acquired and the same features were extracted. A cost function is used to identify the movement. This research provides a base for prosthetic arm designing.
Tossing coins to trim long queries

Verbose web queries are often descriptive in nature where a term based search engine is unable to distinguish between the essential and noisy words, which can result in a drift from the user intent. We present a randomized query reduction technique that builds on an earlier learning to rank based approach. The proposed technique randomly picks only a small set of samples, instead of the exponentially many sub-queries, thus being fast enough to be useful for web search engines, while still covering wide sub-query space.
A Winning Approach to Text Alignment for Text Reuse Detection at PAN 2014

Our method relies on a sentence similarity measure based on a tf-idf-like weighting scheme that permits us to keep stopwords without increasing the false positives rate. The similarity is computed representing individual sentences with a tf-idf vector space model (VSM), as if each sentence were, in terminology of VSM, a separate “document” and all sentences in the pair of suspicious and source document formed a “document collection. ” The idf measure calculated in this way is called isf measure (inverse sentence frequency), to emphasize that it is calculated over sentences and not documents.
The Atmospheric Bridge: The Influence of ENSO Teleconnections on Air-Sea Interaction over the Global Oceans

During El Nino-Southern Oscillation (ENSO) events, the atmospheric response to sea surface temperature (SST) anomalies in the equatorial Pacific influences ocean conditions over the remainder of the globe. This connection between ocean basins via the ''atmospheric bridge'' is reviewed through an examination of previous work augmented by analyses of 50 years of data from the National Centers for Environmental Prediction- National Center for Atmospheric Research (NCEP-NCAR) reanalysis project and coupled atmospheric general circulation (AGCM)-mixed layer ocean model experiments. Observational and modeling studies have now established a clear link between SST anomalies in the equatorial Pacific with those in the North Pacific, north tropical Atlantic, and Indian Oceans in boreal winter and spring. ENSO-related SST anomalies also appear to be robust in the western North Pacific during summer and in the Indian Ocean during fall. While surface heat fluxes are the key component of the atmospheric bridge driving SST anomalies, Ekman transport also creates SST anomalies in the central North Pacific although the full extent of its impact requires further study. The atmospheric bridge not only influences SSTs on interannual timescales but also affects mixed layer depth (MLD), salinity, the seasonal evolution of upper-ocean temperatures, and North Pacific SST variability at lower fre- quencies. The model results indicate that a significant fraction of the dominant pattern of low-frequency (.10 yr) SST variability in the North Pacific is associated with tropical forcing. AGCM experiments suggest that the oceanic feedback on the extratropical response to ENSO is complex, but of modest amplitude. Atmosphere- ocean coupling outside of the tropical Pacific slightly modifies the atmospheric circulation anomalies in the Pacific-North America (PNA) region but these modifications appear to depend on the seasonal cycle and air- sea interactions both within and beyond the North Pacific Ocean.
Vitamin D receptor gene TaqI and Apal polymorphisms and steroid responsiveness in childhood idiopathic nephrotic syndrome

Background Vitamin D activity is controlled by vitamin D receptors (VDRs), which are affected by different genetic polymorphisms, including TaqI and Apal restriction fragment length polymorphisms (RFLPs), which have been reported to be associated with several diseases. The aim of this study was to determine the frequency and the association of VDR gene polymorphisms with idiopathic nephrotic syndrome (INS) and steroid responsiveness in Kuwaiti children. Subjects and methods Genotypes of the VDR TaqI gene polymorphism and the Apal gene polymorphism were analyzed using polymerase chain reaction-RFLP in 78 INS patients and 56 matched controls. Results A total of 78 INS (62 steroid sensitive [SS] and 16 steroid resistant [SR]) patients with a mean age of 6.5±3.1 years were studied. Male:female ratio was 2:1. The TT genotype of VDR–TaqI polymorphism was detected in 41% of the INS patients compared to 42% of the controls (P=0.816). The heterozygous TC genotype was detected in 33% of INS patients compared to 46% of the controls (P=0.462). The CC genotype was detected in 25.6% of INS patients and 21% of the controls (P=0.719). The C-allele frequency, in its homozygous and heterozygous forms, was 71% in INS patients compared to 63% in the controls (P=0.342). Similarly, no significant difference was detected in terms of VDR–Apal polymorphism in INS patients compared to the controls for all the three genotypes (P=0.76, P=0.207, and P=0.364, respectively, for GG, GT, and TT genotypes). The T-allele frequency, in its homozygous and heterozygous forms, was 89% in INS patients compared to 93% in the controls (P=0.076). No significant difference was found in any of the allele frequencies between SS and SR subgroups when compared with each other or when compared to the controls. Conclusion Our data do not support the use of VDR–TaqI or –Apal gene polymorphisms as genetic markers of INS nor do they predict steroid responsiveness in children with the disease.
Creativity and intrinsic motivation in computer science education: experimenting with robots

This paper describes our teaching experiment at the University of Helsinki, where the aim was to investigate a possibility to provide a learning environment supporting a combination of creativity, intrinsic motivation and the use of robots to bring constructionism into computer science (CS) education. To put the ideas into practice we developed a pilot course targeted at intermediate-level CS students. The learning objectives were not strict, but instead the attendees could participate in setting them and also take part in designing future uses of robots in CS1 and CS2 courses. There was no teaching in the traditional sense, but instead we arranged workshops based on creativity-enhancing working methods.
Numerical simulation of buckling of pretwisted non-circular bars

This paper presents finite element (FE) analysis to study the buckling capacity of pretwisted steel bars of rectangular solid cross sections. The FE simulation are conducted using the commercial software ABAQUS. The samples include bars of 30mm width, 6mm thickness, and three different lengths of 300mm, 400mm and 500 mm. The bar ends are griped and embedded in cylindrical slips. A set of twisting angles ranging between 30° and 300° is considered for each length. Before twisting, the simulated steel bars are compared with the experiments and the AISC Code to verify the FE model. The steel bars are then twisted beyond their elastic limit, unloaded to remove elastic recovery, then subjected to axial displacement. The FE simulations showed that the permanent twists have positively influenced the axial strength and the static performance of the pretwisted bars. This improvement is exhibited by the considerable increase in the critical buckling loads of the bars for certain angles of twists.
On convergence of the optimization process in Radiotherapy treatment planning

The Radiotherapy treatment planning optimization process based on a quasi-Newton algorithm with an object function containing dose-volume constraints is not guaranteed to converge when the dose value in the dose-volume constraint is a critical value of the dose distribution. This is caused by finite differentiability of the dose-volume histogram at such values. A closer look near such values reveals that convergence is most likely not at stake, but it might be slowed down.
Profiling the Responsiveness of Android Applications via Automated Resource Amplification

The responsiveness of the GUI in an Android application is an important component of the user experience. Android guidelines recommend that potentially-expensive operations should not be performed in the GUI thread, but rather in separate threads. The responsiveness of existing code can be improved by introducing such asynchronous processing, either manually or automatically. One simple view is that all potentially-expensive operations should be removed from the GUI thread. We demonstrate that this view is too simplistic, because run-time cost under reasonable conditions may often be below the threshold for poor responsiveness. We propose a profiling approach to characterize response times as a function of the size of a potentially-expensive resource (e.g., shared preferences store, bitmap, or Silt database). By manipulating and "amplifying" such resources automatically, we can obtain a responsiveness profile for each GUI-related callback. The profiling is based on a static analysis to generate tests that trigger expensive operations, followed by a dynamic analysis of amplified test execution. Based on our evaluation, we conclude that many operations can be safely left in the GUI thread. These results highlight the importance of choosing carefully - based on profiling information - the operations that should be removed from the GUI thread, in order to avoid unnecessary code complexity.
Meddling with middle modalities: a decomposition approach to mental health inequalities between intersectional gender and economic middle groups in northern Sweden

Background Intersectionality has received increased interest within population health research in recent years, as a concept and framework to understand entangled dimensions of health inequalities, such as gender and socioeconomic inequalities in health. However, little attention has been paid to the intersectional middle groups, referring to those occupying positions of mixed advantage and disadvantage. Objective This article aimed to 1) examine mental health inequalities between intersectional groups reflecting structural positions of gender and economic affluence and 2) decompose any observed health inequalities, among middle groups, into contributions from experiences and conditions representing processes of privilege and oppression. Design Participants (N=25,585) came from the cross-sectional ‘Health on Equal Terms’ survey covering 16- to 84-year-olds in the four northernmost counties of Sweden. Six intersectional positions were constructed from gender (woman vs. men) and tertiles (low vs. medium vs. high) of disposable income. Mental health was measured through the General Health Questionnaire-12. Explanatory variables covered areas of material conditions, job relations, violence, domestic burden, and healthcare contacts. Analysis of variance (Aim 1) and Blinder-Oaxaca decomposition analysis (Aim 2) were used. Results Significant mental health inequalities were found between dominant (high-income women and middle-income men) and subordinate (middle-income women and low-income men) middle groups. The health inequalities between adjacent middle groups were mostly explained by violence (mid-income women vs. men comparison); material conditions (mid- vs. low-income men comparison); and material needs, job relations, and unmet medical needs (high- vs. mid-income women comparison). Conclusions The study suggests complex processes whereby dominant middle groups in the intersectional space of economic affluence and gender can leverage strategic resources to gain mental health advantage relative to subordinate middle groups.
A Case Study in the Future Challenges in Electricity Grid Infrastructure

The generation by renewables and the loading by electrical vehicle charging imposes severe challenges in the redesign of today's power supply systems. Indeed, accomodating these emerg- ing power sources and sinks requires traditional power systems to evolve from rigid centralized unidirectional architectures to intelligent decentralized entities allowing a bi-directional power flow. In the case study proposed by ENDINET, we investigate how the penetration of solar panels and of battery charging stations on large scale affects the voltage quality and loss level in a distribution network servicing a residential area in Eindhoven, The Netherlands. In our case study we take the average household load during summer and winter into account and consider both a radial and meshed topology of the network. For both topologies our study results in a quantification of the levels of penetration as well as a strategy for electrical vehicle loading strategy that meet the voltage and loss requirements in the network.
Measurements and G δ-Subsets of Domains

Abstract In this paper we study domains, Scott domains, and the existence of measurements. We use a space created by D. K. Burke to show that there is a Scott domain $P$ for which $\max (P)$ is a ${{G}_{\delta }}$ -subset of $P$ and yet no measurement $\mu $ on $P$ has $\text{ker(}\mu \text{)}\,=\,\max (P)$ . We also correct a mistake in the literature asserting that $[0,\,{{\omega }_{1}})$ is a space of this type. We show that if $P$ is a Scott domain and $X\,\subseteq \,\max (P)$ is a ${{G}_{\delta }}$ -subset of $P$ , then $X$ has a ${{G}_{\delta }}$ -diagonal and is weakly developable. We show that if $X\,\subseteq \,\max (P)$ is a ${{G}_{\delta }}$ -subset of $P$ , where $P$ is a domain but perhaps not a Scott domain, then $X$ is domain-representable, first-countable, and is the union of dense, completely metrizable subspaces. We also show that there is a domain $P$ such that $\max (P)$ is the usual space of countable ordinals and is a ${{G}_{\delta }}$ -subset of $P$ in the Scott topology. Finally we show that the kernel of a measurement on a Scott domain can consistently be a normal, separable, non-metrizable Moore space.