Miracle-dz/UniFAR-FTUs huggingface dataset:
Accelerated rendering in stereo-based projections (poster session)

In this work, we present a new method for displaying stereo scenes, which speeds up the rendering time of complex geometry. We first discuss a scene splitting strategy, allowing us to partition objects to the distant background or the near foreground. Furthermore, wededuce a computation rule for positioning a cutting plane in the scene.
Connectivity dominates larval replenishment in a coastal reef fish metapopulation

Direct estimates of larval retention and connectivity are essential to understand the structure and dynamics of marine metapopulations, and optimize the size and spacing of reserves within networks of marine-protected areas (MPAs). For coral reef fishes, while there are some empirical estimates of self-recruitment at isolated populations, exchange among sub-populations has been rarely quantified. Here, we used microsatellite DNA markers and a likelihood-based parentage analysis to assess the relative magnitude of self-recruitment and exchange among eight geographically distinct sub-populations of the panda clownfish Amphiprion polymnus along 30 km of coastline near Port Moresby, Papua New Guinea. In addition, we used an assignment/exclusion test to identify immigrants arriving from genetically distinct sources. Overall, 82 per cent of the juveniles were immigrants while 18 per cent were progeny of parents genotyped in our focal metapopulation. Of the immigrants, only 6 per cent were likely to be genetically distinct from the focal metapopulation, suggesting most of the connectivity is among sub-populations from a rather homogeneous genetic pool. Of the 18 per cent that were progeny of known adults, two-thirds dispersed among the eight sub-populations and only one-third settled back into natal sub-populations. Comparison of our data with previous studies suggested that variation in dispersal distances is likely to be influenced by the geographical setting and spacing of sub-populations.
GAYA KEPEMIMPINAN MELAYANI DAN KESIAPAN UNTUK BERUBAH PADA KARYAWAN BPJS KETENAGAKERJAAN

Penelitian ini bertujuan untuk mengetahui hubungan antara gaya kepemimpinan melayani dengan kesiapan untuk berubah pada karyawan BPJS Ketenagakerjaan. Kesiapan untuk berubah merupakan kesiapan secara mental, psikologis dan fisik untuk menghadapi perubahan serta adanya kepercayaan, sikap dan intensi untuk berpartisipasi dalam proses perubahan organisasi. Gaya kepemimpinan melayani adalah penilaian bawahan terhadap pemimpin yang melayani bawahan melalui kemampuan untuk mempengaruhi, pemberian motivasi, perhatian dan mendengarkan masalah yang dialami oleh bawahan, mendorong perubahan besar pada bawahan, serta meletakkan kepentingan bawahan diatas kepentingan pemimpin. Subjek penelitian sejumlah 24 orang karyawan BPJS Ketenagakerjaan. Teknik sampling yang digunakan adalah Convenience sampling. Alat ukur yang digunakan adalah Skala kesiapan untuk berubah (27 aitem, α = .92) dan Skala gaya kepemimpinan melayani (37 aitem, α = .96). Metode analisis data yang digunakan adalah Spearman’s Rho. Hasil penelitian menunjukkan adanya hubungan positif yang signifikan antara gaya kepemimpinan melayani dengan kesiapan untuk berubah (r = .53; p < .008), yang berarti bahwa semakin positif gaya kepemimpinan melayani maka akan semakin tinggi kesiapan untuk berubah. Gaya kepemimpinan melayani memberikan sumbangan efektif sebesar 51% terhadap kesiapan untuk berubah.
Listening to Ourselves: Experiences and Advice From Sex Addiction Therapists in Recovery

ABSTRACT This article presents the results of a descriptive survey of sex addiction therapists in their own recovery from sex addiction. The survey was distributed online. A group of 101 self-identified sex addiction therapists in their own recovery participated in the survey. In the survey, four areas of their experience were explored: sharing with others their specialty in sex addiction and their personal recovery, their use of treatment programs, their belief regarding the benefit of their professional work to their personal recovery, and their boundaries regarding sharing their personal recovery with their clients. Implications of the survey findings for sex addiction therapists are discussed.
A Sliding Window Phase-Only Correlation Method for Side-Channel Alignment in a Smartphone

Future wireless embedded devices will be increasingly powerful, supporting many more applications including one of the most crucial, security. Although many embedded devices offer resistance to bus probing attacks due to their compact size and high levels of integration, susceptibility to attacks on their electromagnetic side channel must be analyzed. This side channel is often quite complex to analyze due to the complexities of the embedded device including operating system, interrupts, and so forth. This article presents a new methodology for analyzing a complex system's vulnerability to the EM side channel. The methodology proposes a sliding window phase-only correlation method for aligning electromagnetic emanations from a complex smartphone running native code utilizing an on-chip cache. Unlike previous research, experimental results demonstrate that data written to on-chip cache within an advanced 312MHz 0.13um processor executing AES can be attacked utilizing this new methodology. Furthermore, for the first time, it has been shown that the point of side-channel attack is not a spike of increased EM but an area of low EM amplitude, unlike what is noted in previous findings. This research is important for advancing side-channel analysis understanding in complex embedded processors and ensuring secure implementations in future embedded ubiquitous devices.
Continental rift architecture and patterns of magma migration: A dynamic analysis based on centrifuge models

Small‐scale centrifuge models were used to investigate the role of continental rift structure in controlling patterns of magma migration and emplacement. Experiments considered the reactivation of weakness zones in the lower crust and the presence of magma at Moho depths. Results suggest that surface deformation, which reflects the weakness zone geometry, exerts a major control on patterns of magma migration. In the case of a single rift segment, the experimental lower crust and magma were both transferred in an extension‐parallel direction toward the rift flanks. This lateral migration reflected the dominance of far‐field stresses over extension‐induced buoyancy forces. Local pressure gradients favored the raise of experimental magma in correspondence of marginal grabens. The lateral migration gave rise to major accumulations below the footwall of major boundary faults, providing the magma source able to feed off‐axis volcanoes in nature, as inferred for the Main Ethiopian Rift. In the case of two offset rift segments, a major transfer zone developed. This transfer zone was characterized by prominent experimental lower crust doming and strong magma accumulation. Dynamic analysis showed that the transfer zone development caused a strong pressure difference in a rift‐parallel direction, which dominated over the far‐field thinning. Owing to this pressure gradient, almost all the underplated experimental magma collected below the lower crust dome, suggesting a rift‐parallel (extension‐orthogonal) migration. This process has a direct relevance for the localization of magmatic activity at transfer zones in natural continental rifts, such as in the Western Branch of the East African Rift System.
Access control via lightweight ontologies

The paper presents Relation Based Access Control RelBAC, a model and a logic for access control which models communities, possibly nested, and resources, possibly organized inside complex file systems, as lightweight ontologies, and permissions as relations between subjects and objects. RelBAC allows us to represent expressive access control rules beyond the current state of the art, and to deal with the strong dynamics of subjects, objects and permissions which arise in Web 2.0 applications (e.g. social networks). Finally, as shown in the paper, using RelBAC, it becomes possible to reason about access control policies and, in particular to compute candidate permissions by matching subject ontologies (representing their interests) with resource ontologies (describing their characteristics).
Optimal Placement of DG in Radial DistributionNetwork for Minimization of Losses

Recently, there has been great interest in the integration of distributed generation units at the distribution level. The foreseeable large use of DG in the future requires the distribution system engineers to properly take into account its impact in the system planning. When considering DG impact the attention should be paid in the siting and sizing of DG units. This paper proposes the use of analytical expressions for finding the optimal size and site of DG in distribution systems.
BMSYN: Bus Matrix Communication Architecture Synthesis for MPSoC

Modern multiprocessor system-on-chip designs have high bandwidth constraints which must be satisfied by the underlying communication architecture. Traditional hierarchical shared bus communication architectures can only support limited bandwidths and are not scalable for very high-performance designs. Bus matrix-based communication architectures consist of several parallel busses which provide a suitable backbone to support high-bandwidth systems but suffer from high-cost overhead due to extensive bus wiring inside the matrix. Manual traversal of the vast exploration space to synthesize a minimal cost bus matrix that also satisfies performance constraints is practically infeasible. In this paper, we address this problem by proposing an automated approach for synthesizing a bus matrix communication architecture, which satisfies all performance constraints in the design and minimizes wire congestion in the matrix. To validate our approach, we consider several industrial strength applications from the networking domain and show that our approach results in up to 9times component savings when compared to a full bus matrix, and up to 3.2times savings when compared to a maximally connected reduced bus matrix, while satisfying all performance constraints in the design.
MicroRNAs Suppress NB Domain Genes in Tomato That Confer Resistance to Fusarium oxysporum

MicroRNAs (miRNAs) suppress the transcriptional and post-transcriptional expression of genes in plants. Several miRNA families target genes encoding nucleotide-binding site–leucine-rich repeat (NB-LRR) plant innate immune receptors. The fungus Fusarium oxysporum f. sp. lycopersici causes vascular wilt disease in tomato. We explored a role for miRNAs in tomato defense against F. oxysporum using comparative miRNA profiling of susceptible (Moneymaker) and resistant (Motelle) tomato cultivars. slmiR482f and slmiR5300 were repressed during infection of Motelle with F. oxysporum. Two predicted mRNA targets each of slmiR482f and slmiR5300 exhibited increased expression in Motelle and the ability of these four targets to be regulated by the miRNAs was confirmed by co-expression in Nicotiana benthamiana. Silencing of the targets in the resistant Motelle cultivar revealed a role in fungal resistance for all four genes. All four targets encode proteins with full or partial nucleotide-binding (NB) domains. One slmiR5300 target corresponds to tm-2, a susceptible allele of the Tomato Mosaic Virus resistance gene, supporting functions in immunity to a fungal pathogen. The observation that none of the targets correspond to I-2, the only known resistance (R) gene for F. oxysporum in tomato, supports roles for additional R genes in the immune response. Taken together, our findings suggest that Moneymaker is highly susceptible because its potential resistance is insufficiently expressed due to the action of miRNAs.
TinyCubus: a flexible and adaptive framework sensor networks

With the proliferation of sensor networks and sensor network applications, the overall complexity of such systems is continuously increasing. Sensor networks are now heterogeneous in terms of their hardware characteristics and application requirements even within a single network. In addition, the requirements of currently supported applications are expected to change over time. All of this makes developing, deploying and optimizing sensor network applications an extremely difficult task. In this paper, we present the architecture of TinyCubus, a flexible and adaptive cross-layer framework for TinyOS-based sensor networks that aims at providing the necessary infrastructure to cope with the complexity of such systems. TinyCubus consists of a data management framework that selects and adapts both system and data management components, a cross-layer framework that enables optimizations through cross-layer interactions, and a configuration engine that installs components dynamically. Furthermore, we show the feasibility of our architecture by describing and evaluating a code distribution algorithm that uses application knowledge about the sensor topology in order to optimize its behavior.
Supply Response of Export Crops in Zambia: The Case of Coffee

1) Export diversification has long been at the centre of Zambia’s economic diversification policies. This article focuses on the coffee sector as a potentially important source of export diversification and examines its supply response to changes in various incentives. 2) Zambian coffee exhibits asymmetric short-run supply adjustments to long-run equilibrium such that production rises significantly after prices rise while changing little after prices fall. 3) The fact that coffee in Zambia is mainly grown for export, the changes in real exchange have the most significant effect on supply in that a depreciation in the Zambian Kwacha leads to an increase in coffee supply.
Adaptive regulation of assistance ‘as needed’ in robot-assisted motor skill learning and neuro-rehabilitation

We propose a general adaptive procedure to select the appropriate degree of assistance based on a Bayesian mechanism used to estimate psychophysical thresholds. This technique does not need an accurate model of learning and recovery processes. This procedure is validated in the context of a motor skill learning problem (control of a virtual object), in which the controller is used to gradually increase task difficulty as learning proceeds. These automatic adjustments of task difficulty or the degree of assistance can be used to promote not only motor skill learning but also neuromotor recovery.
Extinction: bad genes or weak chaos?

The dynamics of extinction and diversification of life is not a simple random process, driven by arbitrary inputs. Biotic interactions are known to play a very important role in the population response to physical factors. In spite of this fact, it is not clear how the ecological scale is related with the macroevolutionary one. In this paper we suggest that both levels are, at least to some extent, decoupled. Using a simple model of large-scale evolution, we show how an n-species ecosystem evolves towards a critical state where extinctions of all sizes are generated. This state involves a situation where high unpredictability is present. The basic properties of the overall macroevolutionary pattern are well reproduced and a new interpretation for this process is suggested.
Ivan Bernoulli Series Universalissima

The taylor formula pertains historically also to johann or ivan bernoulli. Bernoulli series uiversalisima appeared in acta eruditorum in leipzig when brook taylor was nine years old. As on today one affirms two hundred fifty eight anniversary of death of johann bernoulli this article is proposed also pro memoriam. Very recent extensions of this celebrated formula are indicated in the framework of extended umbral calculus.
Changing personnel behavior to promote quality care practices in an intensive care unit

The delivery of safe high quality patient care is a major issue in clinical settings. However, the implementation of evidence-based practice and educational interventions are not always effective at improving performance. A staff-led behavioral management process was implemented in a large single-site acute (secondary and tertiary) hospital in the North of England for 26 weeks. A quasi-experimental, repeated-measures, within-groups design was used. Measurement focused on quality care behaviors (ie, documentation, charting, hand washing). The results demonstrate the efficacy of a staff-led behavioral management approach for improving quality-care practices. Significant behavioral change (F [6, 19] = 5.37, p < 0.01) was observed. Correspondingly, statistically significant (t-test [t] = 3.49, df = 25, p < 0.01) reductions in methicillin-resistant Staphylococcus aureus (MRSA) were obtained. Discussion focuses on implementation issues.
T cell–independent development and induction of somatic hypermutation in human IgM+IgD+CD27+ B cells

IgM+IgD+CD27+ B cells from peripheral blood have been described as circulating marginal zone B cells. It is still unknown when and where these cells develop. These IgM+IgD+CD27+ B cells exhibit somatic hypermutations (SHMs) in their B cell receptors, but the exact nature of the signals leading to induction of these SHMs remains elusive. Here, we show that IgM+IgD+CD27+ B cells carrying SHMs are observed during human fetal development. To examine the role of T cells in human IgM+IgD+CD27+ B cell development we used an in vivo model in which Rag2−/−γC−/− mice were repopulated with human hematopoietic stem cells. Using Rag2−/−γC−/− mice on a Nude background, we demonstrated that development and induction of SHMs of human IgM+IgD+CD27+ B cells can occur in a T cell–independent manner.
Ellipsoidal Multiple Instance Learning

We propose a large margin method for asymmetric learning with ellipsoids, called eMIL, suited to multiple instance learning (MIL). We derive the distance between ellipsoids and the hyperplane, generalising the standard support vector machine. Negative bags in MIL contain only negative instances, and we treat them akin to uncertain observations in the robust optimisation framework. However, our method allows positive bags to cross the margin, since it is not known which instances within are positive. We show that representing bags as ellipsoids under the introduced distance is the most robust solution when treating a bag as a random variable with finite mean and covariance. Two algorithms are derived to solve the resulting non-convex optimization problem: a concave-convex procedure and a quasi-Newton method. Our method achieves competitive results on benchmark datasets. We introduce a MIL dataset from a real world application of detecting wheel defects from multiple partial observations, and show that eMIL outperforms competing approaches.
Object Recognition using Template Matching

Object Recognition is inherently a hard problem in computer vision. Current standard object recognition techniques require small training data sets of images and apply sophisticated algorithms. These methods tend to perform poorly because the small data set does not reflect the true distribution (selection bias). Recently, Torralba et al [1] have proposed to develop a large data set of images (80 million images) and apply simple algorithms for object recognition. Their method performs relatively well for some certain classes of objects. Nevertheless, their data sets require very large storage and are noisy. In this project, we develop precise 3D models of objects and use these to apply simple learning algorithms for object recognition. Three dimensional models have the advantage that they are more compressed than individual images. Thus this allows training large scale object recognition algorithms. We hope to prove that by applying a simple learning algorithm, namely template matching, we are able to achieve strong performance in recognizing objects. In order to focus our efforts, we are concerned only with the classification task: given an image does it or does it not contain the target object? This task is the focus of much research in computer vision and in this report we will compare our results to the state of the art from the PASCAL Visual Object Classes (VOC) Challenge, 2007 [3]. Further, we chose cars as objects to detect as detecting cars in images is a general problem, and we could make accurate 3D models of the cars ourselves using scaled diecast models. This report is organized as follows. Section 2 details how we created the 3D car models. Section 3 provides details of basic approach we followed. Section 4 and 5 give experimental results along with some other variations of our approach. Section 6 details an alternate K-means based approach to the problem. Finally, section 7 concludes the report. 2 Building 3D models
Deuce or advantage? Examining gender bias in online coverage of professional tennis

Despite the increasing popularity of women’s sports, it has generally been found that female athletes receive less media coverage and are portrayed negatively with myriad gender-specific descriptors. Such biased representations warrant attention as they construct and reinforce traditional gender beliefs. This study compared the representations of female and male tennis players on the official site of the Australian Open 2015 and ESPN. A total of 357 articles were analysed using content analysis. The findings showed that gender representations on the two media outlets were quite similar as they both portrayed female players more negatively than male players by focusing on a few areas directly or indirectly: athletic weaknesses, negative skills, mental weaknesses and non-competitive roles (including appearance, attire, family and personal relationship). However, the use of certain descriptors might indicate the possibility of more gender-neutral representations of athletes in the future. It was concluded that while hegemonic masculinity was challenged at times, stereotypical beliefs about females were largely reinforced in the mediated gender representations on the two websites.
Influence of Rigidity and Knot Complexity on the Knotting of Confined Polymers

We employ computer simulations and thermodynamic integration to analyze the effects of bending rigidity and slit confinement on the free energy cost of tying knots, ΔFknotting, on polymer chains under tension. A tension-dependent, nonzero optimal stiffness κmin exists, for which ΔFknotting is minimal. For a polymer chain with several stiffness domains, each containing a large amount of monomers, the domain with stiffness κmin will be preferred by the knot. A local analysis of the bending in the interior of the knot reveals that local stretching of chains at the braid region is responsible for the fact that the tension-dependent optimal stiffness has a nonzero value. The reduction in ΔFknotting for a chain with optimal stiffness relative to the flexible chain can be enhanced by tuning the slit width of the 2D confinement and increasing the knot complexity. The optimal stiffness itself is independent of the knot types we considered, while confinement shifts it toward lower values.