Miracle-dz/UniFAR-FTUs huggingface dataset:
A Conceptual Model for the Organisational Adoption of Information System Security Innovations

Information System (IS) Security threats is still a major concern for many organisations. However, most organisations fall short in achieving a successful adoption and implementation of IS security measures. In this paper, we developed a theoretical model for the adoption process of IS Security innovations in organisations. The model was derived by combining four theoretical models of innovation adoption, namely: Diffusion of Innovation theory (DOI), the Technology Acceptance Model (TAM), the Theory of Planned Behaviour (TPB) and the Technology-Organisation-Environment (TOE) framework. The model depicts IS security innovation adoption in organisations, as two decision proceedings. The adoption process from the initiation stage until the acquisition of innovation is considered as a decision made by organisation while the process of innovation assimilation is assumed as a result of the user acceptance of innovation within the organisation. In addition, the model describes the IS Security adoption process progressing in three sequential stages, i.e. pre-adoption, adoption- decision and post-adoption phases. The model also introduces several factors that influence the different stages of IS Security innovation adoption process. This study contributes to IS security literature by proposing an overall model of IS security adoption that includes organisational adoption and user acceptance of innovation in a single illustration. Also, IS security adoption model proposed in this study provides important practical implications for research and practice.
Manipulating exercise and recovery to enhance adaptations to sprint interval training

Highly-trained athletes are accustomed to varied and high-volume based exercise stimuli and eliciting adaptation in individuals already possessing the necessary physiology to compete at the highest level is difficult. Therefore, identifying novel, potent and time efficient methods of achieving cumulative training stress is a continual quest for coaches and exercise scientists. This thesis examined the acute and chronic effects of manipulating exercise and recovery during brief all-out sprint cycling on adaptive responses favouring enhanced endurance capacity. Chapter 3 highlighted that low-volume non-work matched all-out sprint cycling, whether it be interval- (4 x 30 s bouts) or continuous based (1 x 2 min bout) provides a similarly potent stimulus for the acute induction of cell signalling pathways and key growth factors associated with mitochondrial biogenesis and angiogenesis in trained individuals. In line with manipulating recovery and in attempting to identify a novel and potent exercise intervention capable of giving athletes more return on their training investment, Chapters 4-6 investigated the efficacy of combining sprint interval training with post-exercise blood flow restriction (BFR). Firstly, it was demonstrated that BFR potentiates HIF-1α mRNA expression in response to SIT, tentatively suggesting an enhanced stimulus for hypoxia- and/or metabolic-mediated cell signalling associated with mitochondrial biogenesis and angiogenesis over SIT alone. Secondly, four weeks of SIT combined with post-exercise BFR provides a greater training stimulus over SIT alone in trained individuals to enhance VO2max (4.7 v 1.1 % change) and MAP (3.8 v 0.2 % change), but not 15-km TT performance. Finally, in response to four weeks of SIT combined with post-exercise BFR, an international female track sprint cyclist increased her CP and W by 7 and 2 % and VO2max and absolute MAP by 3 and 4 %, respectively. Through a combination of an acute in vivo molecular experiment, a training study and an athlete case study, this thesis has introduced a potentially potent and novel training concept that appears capable of augmenting aerobic capacity.
Mechanical properties of zirconia after different surface treatments and repeated firings

PURPOSE This study investigated the influence of surface conditioning procedures and repeated firings on monoclinic content and strength of zirconia before cementation. MATERIALS AND METHODS Sintered bar-shaped zirconia specimens were subjected to no surface treatment (control), air abrasion, or grinding (n=21). Their roughness was evaluated using a profilometer, and microscope analysis was performed on one specimen of each group. Then, 2 or 10 repeated firings (n=10) were executed, the monoclinic content of specimens was analyzed by X-ray diffraction, and a three-point flexural strength test was performed. Surface roughness values were compared using one-way analysis of variance (ANOVA) and Tukey honestly significant difference (HSD) tests, the monoclinic content values were tested using Kruskal-Wallis and Mann-Whitney U tests, and the flexural strength values were tested using two-way ANOVA and Tukey HSD tests (P=.05). Spearman's correlation test was performed to define relationships among measured parameters. RESULTS Surface-treated specimens were rougher than untreated specimens and had a higher monoclinic content (P<.005), and the relationship between roughness and monoclinic content was significant (P<.000). Neither surface treatment nor firing significantly affected the flexural strength, but Weibull analysis showed that for the air-abraded samples the characteristic strength was significantly lower after the 10th firing than after the 2nd firing. CONCLUSION After firing, a negligible amount of monoclinic content remained on the zirconia surfaces, and rougher surfaces had higher monoclinic contents than untreated surfaces. Multiple firings could be performed if necessary, but the fracture probability could increase after multiple firings for rougher surfaces.
FPNN: Field Probing Neural Networks for 3D Data

Building discriminative representations for 3D data has been an important task in computer graphics and computer vision research. Convolutional Neural Networks (CNNs) have shown to operate on 2D images with great success for a variety of tasks. Lifting convolution operators to 3D (3DCNNs) seems like a plausible and promising next step. Unfortunately, the computational complexity of 3D CNNs grows cubically with respect to voxel resolution. Moreover, since most 3D geometry representations are boundary based, occupied regions do not increase proportionately with the size of the discretization, resulting in wasted computation. In this work, we represent 3D spaces as volumetric fields, and propose a novel design that employs field probing filters to efficiently extract features from them. Each field probing filter is a set of probing points --- sensors that perceive the space. Our learning algorithm optimizes not only the weights associated with the probing points, but also their locations, which deforms the shape of the probing filters and adaptively distributes them in 3D space. The optimized probing points sense the 3D space "intelligently", rather than operating blindly over the entire domain. We show that field probing is significantly more efficient than 3DCNNs, while providing state-of-the-art performance, on classification tasks for 3D object recognition benchmark datasets.
IMPACT OF POPULATION STRUCTURE ON GENETIC DIVERSITY OF A POTENTIAL VACCINE TARGET IN THE CANINE HOOKWORM (ANCYLOSTOMA CANINUM)

Ancylostoma caninum is a globally distributed canine parasitic nematode. To test whether positive selection, population structure, or both affect genetic variation at the candidate vaccine target Ancylostoma secreted protein 1 (asp-1), we have quantified the genetic variation in A. caninum at asp-1 and a mitochondrial gene, cytochrome oxidase subunit 1 (cox-1), using the statistical population analysis tools found in the SNAP Workbench. The mitochondrial gene cox-1 exhibits moderate diversity within 2 North American samples, comparable to the level of variation observed in other parasitic nematodes. The protein coding portion for the C-terminal half of asp-1 shows similar levels of genetic variation in a Wake County, North Carolina, sample as cox-1. Standard tests of neutrality provide little formal evidence for selection acting on this locus, but haplotype networks for 2 of the exon regions have significantly different topologies, consistent with different evolutionary forces shaping variation at either end of a 1.3-kilobase stretch of sequence. Evidence for gene flow among geographically distinct samples suggests that the mobility of hosts of A. caninum is an important contributing factor to the population structure of the parasite.
Confidence Risk and Asset Prices

In the data, asset prices exhibit large negative moves at frequencies of about 18 months. These large moves are puzzling as they do not coincide, nor are they followed by any significant moves in the real side of the economy. On the other hand, we find that measures of investor's uncertainty about their estimate of future growth have significant information about large moves in returns. We set-up a recursive-utility based model in which investors learn about the latent expected growth using the cross-section of signals. The uncertainty (confidence measure) about investor's growth expectations, as in the data, is time-varying and subject to large moves. The fluctuations in confidence measure affect the distribution of future consumption given investors' information, and consequently influence equilibrium asset prices and risk premia. In calibrations we show that the model can account for the large return move evidence in the data, distribution of asset prices, predictability of excess returns and other key asset market facts.
Applying and Evaluating Understanding-Oriented ICT User Training in Upper Secondary Education

Abstract ICT training courses have recently undergone some important changes. These changes are made possible by new pedagogical approaches to ICT training. As a result, the focus has changed from memorizing, recall and reproduction of knowledge to conceptual understanding of the underlying software. One of these approaches is the Herskin’s understanding-oriented ICT training method. This paper assesses students’ learning when confronted with the task of implementing this method. More specifically, it addresses critical factors of success and potential obstacles when implementing the ICT training method in upper secondary schools. It also presents teacher stu-dents’ common misconceptions and simplifications when practicing the method for the first time. Finally, the article outlines a framework for rethinking ICT training within constructivist learning environments. Keywords: Constructivism, Hands-on, ICT training method, instruction sheet, learning theory teacher education. Introduction
Sequential stream segregation in normally-hearing and cochlear-implant listenersa)

Sequential stream segregation by normal hearing (NH) and cochlear implant (CI) listeners was investigated using an irregular rhythm detection (IRD) task. Pure tones and narrowband noises of different bandwidths were presented monaurally to older and younger NH listeners via headphones. For CI users, stimuli were delivered as pure tones via soundfield and via direct electrical stimulation. Results confirmed that tonal pitch is not essential for stream segregation by NH listeners and that aging does not reduce NH listeners' stream segregation. CI listeners' stream segregation was significantly poorer than NH listeners' with pure tone stimuli. With direct stimulation, however, CI listeners showed significantly stronger stream segregation, with a mean normalized pattern similar to NH listeners, implying that the CI speech processors possibly degraded acoustic cues. CI listeners' performance on an electrode discrimination task indicated that cues that are salient enough to make two electrodes highly discriminable may not be sufficiently salient for stream segregation, and that gap detection/discrimination, which must depend on perceptual electrode differences, did not play a role in the IRD task. Although the IRD task does not encompass all aspects of full stream segregation, these results suggest that some CI listeners may demonstrate aspects of stream segregation.
Catching Up to the Technology Frontier: The Dichotomy Between Innovation and Imitation

Using data for 55 developing and developed countries, this research examines the roles of technology transfer, research intensity, educational attainment and the ability to absorb foreign technology in explaining cross-country differences in productivity growth. The results show that innovation is an important factor for growth in OECD countries whereas growth in developing countries is driven by imitation. Furthermore the interaction between educational attainment and the distance to the frontier is a significant determinant of growth in the overall sample.
Efficient and Spontaneous Privacy-Preserving Protocol for Secure Vehicular Communication

This paper introduces an efficient and spontaneous privacy-preserving protocol for vehicular ad-hoc networks based on revocable ring signature. The proposed protocol has three appealing characteristics: First, it offers conditional privacy-preservation: while a receiver can verify that a message issuer is an authorized participant in the system only a trusted authority can reveal the true identity of a message sender. Second, it is spontaneous: safety messages can be authenticated locally, without support from the roadside units or contacting other vehicles. Third, it is efficient: it offers fast message authentication and verification, cost-effective identity tracking in case of a dispute, and has low storage requirements. We use extensive analysis to demonstrate the merits of the proposed protocol and to compare it with previously proposed solutions.
Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques

To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intricate dynamics within. The purpose of this study is to mathematically determine local and regional patterns of ecological change within an LME using empirical orthogonal functions (EOFs). After using EOFs to define regions with distinct patterns of change, a statistical model originating from control theory is applied (Nonlinear AutoRegressive Moving Average with eXogenous input – NARMAX) to assess potential drivers of change within these regions. We have selected spatial data sets (0.5° latitude × 1°longitude) of fish abundance from North Sea fisheries research surveys (spanning 1980–2008) as well as of temperature, oxygen, net primary production and a fishing pressure proxy, to which we apply the EOF and NARMAX methods. Two regions showed significant changes since 1980: the central North Sea displayed a decrease in community size structure which the NARMAX model suggested was linked to changes in fishing; and the Norwegian trench region displayed an increase in community size structure which, as indicated by NARMAX results, was primarily linked to changes in sea‐bottom temperature. These regions were compared to an area of no change along the eastern Scottish coast where the model determined the community size structure was most strongly associated to net primary production. This study highlights the multifaceted effects of environmental change and fishing pressures in different regions of the North Sea. Furthermore, by highlighting this spatial heterogeneity in community size structure change, important local spatial dynamics are often overlooked when the North Sea is considered as a broad‐scale, homogeneous ecosystem (as normally is the case within the political Marine Strategy Framework Directive).
TRAF6 Is Required for Generation of the B-1a B Cell Compartment as well as T Cell-Dependent and -Independent Humoral Immune Responses

TNF receptor superfamily members, such as CD40 and the Toll-like receptors (TLRs), regulate many aspects of B cell differentiation and activation. TRAF6 is an intracellular signaling adaptor molecule for these receptors, but its role in B cells has not been clarified by previous genetic approaches, as the systemic deletion of the TRAF6 gene results in perinatal lethality. Here we show that B cell-specific TRAF6 deficiency results in a reduced number of mature B cells in the bone marrow and spleen. Optimal T cell-dependent (TD) antigen responses, as characterized by isotype switching and long-lived plasma cell generation, are also impaired in B cell-specific TRAF6-deficient mice. B cell-specific TRAF6-deficient mice also exhibit lower levels of serum IgM and IgG2b and defective antigen-specific IgM production in response to T cell-independent (TI) antigens. Unexpectedly, TRAF6-deficient B cell progenitors are unable to generate CD5+ B-1 cells. These results reveal critical roles for TRAF6 in TD and TI humoral immune responses and in inductive fate decisions necessary to generate the B-1 B cell compartment.
Real-time head pose estimation and facial feature localization using a depth sensor and triangular surface patch features

We present a real-time system for 3D head pose estimation and facial landmark localization using a commodity depth sensor. We introduce a novel triangular surface patch (TSP) descriptor, which encodes the shape of the 3D surface of the face within a triangular area. The proposed descriptor is viewpoint invariant, and it is robust to noise and to variations in the data resolution. Using a fast nearest neighbor lookup, TSP descriptors from an input depth map are matched to the most similar ones that were computed from synthetic head models in a training phase. The matched triangular surface patches in the training set are used to compute estimates of the 3D head pose and facial landmark positions in the input depth map. By sampling many TSP descriptors, many votes for pose and landmark positions are generated which together yield robust final estimates. We evaluate our approach on the publicly available Biwi Kinect Head Pose Database to compare it against state-of-the-art methods. Our results show a significant improvement in the accuracy of both pose and landmark location estimates while maintaining real-time speed. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c © Mitsubishi Electric Research Laboratories, Inc., 2015 201 Broadway, Cambridge, Massachusetts 02139 Real-time Head Pose and Facial Landmark Estimation from Depth Images Using Triangular Surface Patch Features
Cross-cultural adaptation and psychometric properties of the Portuguese version of the youth experience survey for sport (P-YES-S)

ABSTRACT This study investigated adaptation and the psychometric properties of the Portuguese version of the Youth Experience Survey for Sport (P-YES-S). Translators, professors, and athletes participated. Athletes between 14 and 18 years were recruited. The instrument was the P-YES-S. Content validity was assessed by coefficients of content and kappa, while Cronbach’s alpha was used for internal consistency analysis and intraclass correlation for temporal stability. Exploratory and confirmatory factorial analyses were conducted to test the construct validity of the instrument. Discriminant validity was assessed by comparing the Average Variance Extracted (AVE) with the squared correlation between factors. Results showed acceptable levels for content validity, internal consistency, temporal stability, concurrent validity, and construct validity. The acceptable model was: X2/df = 1.54, GFI = 0.93, CFI = 0.92; AGFI = 0.92, TLI = 0.91, AIC = 414.63, BIC = 610.93, MECVI = 1.41 and RMSEA = 0.0. 04, p = 0.03. The adaptation process produced an instrument with 22 items and the dimensions of Personal and Social Skills, Cognitive Skills, Initiative Experiences, and Negative Experiences.
Rerun: Exploiting Episodes for Lightweight Memory Race Recording

Multiprocessor deterministic replay has many potential uses in the era of multicore computing, including enhanced debugging, fault tolerance, and intrusion detection. While sources of nondeterminism in a uniprocessor can be recorded efficiently in software, it seems likely that hardware support will be needed in a multiprocessor environment where the outcome of memory races must also be recorded. We develop a memory race recording mechanism, called Rerun, that uses small hardware state (~166 bytes/core), writes a small race log (~4 bytes/kilo- instruction), and operates well as the number of cores per system scales (e.g., to 16 cores). Rerun exploits the dual of conventional wisdom in race recording: Rather than record information about individual memory accesses that conflict, we record how long a thread executes without conflicting with other threads. In particular, Rerun passively creates atomic episodes. Each episode is a dynamic instruction sequence that a thread happens to execute without interacting with other threads. Rerun uses Lamport Clocks to order episodes and enable replay of an equivalent execution.
Active ageing and quality of life: factors associated with participation in leisure activities among institutionalized older adults, with and without dementia

Objectives: Active ageing, considered from the perspective of participation in leisure activities, promotes life satisfaction and personal well-being. The aims of this work are to define and explain leisure activity profiles among institutionalized older adults, considering their sociodemographic characteristics and objective and subjective conditions in relation to their quality of life. Methods: Two samples of institutionalized people aged 60 and over were analysed together: 234 older adults without dementia and 525 with dementia. Sociodemographic, economic, family and social network, and health and functioning variables were selected. Cluster analysis was applied to obtain activity profiles according to the leisure activities, and ordinal regression models were performed to analyse factors associated to activity level. Results: The sample was clustered into three groups of people: active (27%), moderately active (35%) and inactive people (38%). In the final regression model (Nagelkerke pseudo R2 = 0.500), a higher level of activity was associated with better cognitive function (Pfeiffer scale), self-perceived health status and functional ability, as well as with a higher frequency of gathering with family and friends, and higher educational level. Conclusion: The decline in physical and mental health, the loss of functional capabilities and the weakening of family and social ties represent a significant barrier to active ageing in a context of institutionalization.