Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating the relationship among personality characteristics, safety motivation and safety participation: safety incentives as a moderator

iv Acknowledgments. v Table of contents. vi List of Tables. viii List of Figures. ix Chapter 1: Introduction. 1 Integrative Model of Workplace Safety. 2 HEXACO Personality Model and the Five-Factor Model. 3 Self-Determination Theory of Motivation. 4 Safety Incentives. 5 Chapter 2: Review of the Literature. 9 Chapter 3: Hypotheses Development. 17 Personality and Safety Motivation. 17 Incentives as a Moderator between Personality and Motivation. 18 Motivation and Safety Participation. 33 Chapter 4: Methodology. 37 Pre-Test. 37 Pilot Study: Participants and Procedure. 38 Situational Judgement Tests. 39 Main Study: Participants and Procedures. 41 Measures. 42 Data Analysis. 47 Chapter 5: Results. 48 Pilot. 48 Main Study. 50 Descriptive Statistics and Correlations. 51 Personality and Safety Motivation Findings. 54 Incentive Effects. 54 Honesty-Humility. 55 Conscientiousness. 57 Emotionality. 58 Safety Motivation and Safety Participation. 61 Chapter 6: Discussion. 64 Personality in Predicting Safety Motivation Outcomes. 64 Incentives as a Moderator of Personality and Safety Motivation Outcomes. 67 Safety Motivation in Predicting Safety Participation Outcomes. 69 Limitations and Opportunities for Future Research.69 Practical and Theoretical Implications.72 Conclusion. 74
Fundamental Limits on a Model of Privacy-Trust Tradeoff: Information Theoretic Approach

Zhong et al. formulated the problem of disclosing credentials (associated with privacy) for building trust in an open environment like Internet. Thus, one form of privacy-trust problem is formulated in [17]. In [17], an entropy measure is defined to quantify privacy loss. In this research paper, by a proper formulation (modelling), the privacy-trust tradeoff is attacked from the Information Theoretic view point. It is shown that as long as privacy loss (or more accurately a measure related to privacy loss) is below a limit, through the use of properly coded credentials, it is possible to achieve arbitrarily good trust. The approach presented here will lead to several practical schemes in trading privacy for trust.
A novel motion-based representation for video mining

It is a challenging issue to analyze video content for video mining tasks due to lacking of effective representation of video. As motion is a distinctive feature of video sequence, it is a reasonable and efficient manner to represent video content based on motion. In this paper we proposed a novel motion-based representation for video mining tasks, including a fast dominant motion extraction scheme, called integral template match (ITM), and a set of qualitative and quantitative description schemes. Currently, we applied it to such video mining tasks as shot boundary detection, camera motion segmentation and recognition. The experiments on the test collection of TREC2002 video track have demonstrated the efficiency and robustness of the proposed schemes.
Distinctive Responsiveness to Stromal Signaling Accompanies Histologic Grade Programming of Cancer Cells

Whether stromal components facilitate growth, invasion, and dissemination of cancer cells or suppress neoplastic lesions from further malignant progression is a continuing conundrum in tumor biology. Conceptualizing a dynamic picture of tumorigenesis is complicated by inter-individual heterogeneity. In the post genomic era, unraveling such complexity remains a challenge for the cancer biologist. Towards establishing a functional association between cellular crosstalk and differential cancer aggressiveness, we identified a signature of malignant breast epithelial response to stromal signaling. Proximity to fibroblasts resulted in gene transcript alterations of >2-fold for 107 probes, collectively designated as Fibroblast Triggered Gene Expression in Tumor (FTExT). The hazard ratio predicted by the FTExT classifier for distant relapse in patients with intermediate and high grade breast tumors was significant compared to routine clinical variables (dataset 1, n = 258, HR – 2.11, 95% CI 1.17–3.80, p-value 0.01; dataset 2, n = 171, HR - 3.07, 95% CI 1.21–7.83, p-value 0.01). Biofunctions represented by FTExT included inflammatory signaling, free radical scavenging, cell death, and cell proliferation. Unlike genes of the ‘proliferation cluster’, which are overexpressed in aggressive primary tumors, FTExT genes were uniquely repressed in such cases. As proof of concept for our correlative findings, which link stromal-epithelial crosstalk and tumor behavior, we show a distinctive differential in stromal impact on prognosis-defining functional endpoints of cell cycle progression, and resistance to therapy-induced growth arrest and apoptosis in low vs. high grade cancer cells. Our experimental data thus reveal aspects of ‘paracrine cooperativity’ that are exclusively contingent upon the histopathologically defined grade of interacting tumor epithelium, and demonstrate that epithelial responsiveness to the tumor microenvironment is a deterministic factor underlying clinical outcome. In this light, early attenuation of epithelial-stromal crosstalk could improve the management of cases prone to be clinically challenging.
Convergence analysis of the direct algorithm

The DIRECT algorithm is a deterministic sampling method for bound constrained Lipschitz continuous optimization. We prove a subsequential convergence result for the DIRECT algorithm that quantifies some of the convergence observations in the literature. Our results apply to several variations on the original method, including one that will handle general constraints. We use techniques from nonsmooth analysis, and our framework is based on recent results for the MADS sampling algorithms.
Turning knowledge into value in professional service firms

Purpose – The purpose of this paper is to present and discuss the findings of research into the value perception of knowledge management among lawyers and staff from among the top ten global law firms.Design/methodology/approach – Interviews were conducted with lawyers as well as knowledge management (KM) service providers within the selected law firms. The results were then analysed by statistical means and compared to previous findings in literature. The methodology is inspired and broadly based on a research paper into the value perception of information by Broady‐Preston and Williams.Findings – The findings are that respondents showed strong support for the value of KM to law firm success through concepts such as improved efficiency, quality and other drivers for better performance.Research limitations/implications – The survey in the paper itself was limited to the top ten global law firms and is therefore not representative of the entire professional service sector or the law firm sector.Practical i.
IN-SITU 3-D ENVIRONMENT MAPPING EMPLOYING DEPTH IMAGES FROM RGB-D CAMERAS FOR FEATURE DETECTION AND IMAGE REGISTRATION

RGB-D camera enables machines perceive the world in three-dimensional space and translate these perceptions into a synchronized depth image in the same way that humans do. To reduce the computational time and improve the convergence and robustness of alignment iterations in automatic 3-D data registration, key points that best represent the scene in consecutive datasets have to be identified first. Depth images are employed for feature detection to exclude undesired effects of illumination or light projection, so image correspondences can be effectively established and then used in the registration process datasets to build the overall 3D map of the unknown environment. Since datasets potentially consist of noises, not all correspondences are valid and this may lead to a significant problem in the 3-D mapping process. Therefore, a novel algorithm to reject these bad correspondences is introduced in this article in order to guarantee the convergence for data alignment. In addition, cloud datasets usually require big computation times and consume much memory. In the developed approach, point clouds are filtered to reduce its size for achieving higher efficiency. Experimental results show the feasibility and robustness of applying the proposed approach for in-situ 3-D environment mapping applications.
Image mosaic construction using feature matching and weighted fusion

An image mosaic construction method with focuses in feature matching and image fusion is proposed. The merit of this method is that it can effectively reduce the rate of feature mismatches. Corners in two overlapping images are taken as features which are detected and matched in order to derive a transformation matrix to align the images to be combined. In order to guarantee a reduced rate of mismatching, a similarity definitude algorithm is employed. Furthermore, a smooth mosaic is obtained by the use of a weighted fusion process. Experimental results, which are conducted using indoor images, show that our approach can effectively obtain an accurate and seamless fused image.
Exploring video streaming in public settings: shared geocaching over distance using mobile video chat

Our research explores the use of mobile video chat in public spaces by people participating in parallel experiences, where both a local and remote person are doing the same activity together at the same time. We prototyped a wearable video chat experience and had pairs of friends and family members participate in 'shared geocaching' over distance. Our results show that video streaming works best for navigation tasks but is more challenging to use for fine-grained searching tasks. Video streaming also creates a very intimate experience with a remote partner, but this can lead to distraction from the 'real world' and even safety concerns. Overall, privacy concerns with streaming from a public space were not typically an issue; however, people tended to rely on assumptions of what were acceptable. The implications are that designers should consider appropriate feedback, user disembodiment, and asymmetry when designing for parallel experiences.
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters

In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have several limitations compared to ground vehicles. Due to their limited payload flying vehicles possess only limited computational resources and are restricted to a few and lightweight sensors. Additionally the kinematics of flying robots is rather complex, which requires sophisticated motion models that are typically hard to calibrate. However, as the sensors provide only a limited amount of information, the motion models need to be highly accurate to reduce the potential increase of uncertainty caused by the movements of the vehicle. In this paper, we present a novel approach to simultaneous localization and estimation of motion model parameters and their adaptation in the context of a particle filter. To deal with sudden changes of parameters, our approach utilizes random sampling augmented by additional damping to avoid oscillations caused by the delayed detection of the changes. As we demonstrate in experiments with a real blimp, our method can deal with very sparse and imprecise sensor information and outperforms a standard Monte Carlo localization approach.
Augmented Visualization of the Patient's Organs through a SlidingWindow

Augmented Reality technology has the potential to bring the visual advantages of open surgery back to minimally invasive surgery increasing the physician’s visual knowledge with information gathered from patients’ medical images. In this paper is presented a medical Augmented Reality application which is able to guide the surgeon in the operating phase through the visualization of anatomical structures of interest with the aim to prevent erroneous disruption of some organs during surgical procedures. Since the simple augmentation of the real scene cannot provide information on the scene depth, the visualization of a sliding window is provided in order to allow the occlusion of part of the organs and to obtain a more realistic impression that the virtual organs are situated inside the patient’s body.
On reduction of oscillations in target tracking by artificial potential field method

Artificial potential field is a powerful method of navigation for mobile robots in a cluttered environment. Despite the advantages that it offers, this method is not free from local minima and oscillation problems. This paper addresses the oscillation problem near the obstacles and in narrow passages. A comparative study has been made between the traditional gradient descent technique and second order methods and it has been shown that the Levenberg-Marquardt algorithm improves upon the oscillation problem and generates smoother trajectories in fewer steps.
The optimization of weights in weighted hybrid recommendation algorithm

In the field of recommender systems, the performance of every single recommendation algorithm is limited and each has its own strengths and weaknesses, so more attentions are paid to the hybrid recommendation algorithms. There are various hybridization strategies, this paper is focused on the weighted hybridization. In the weighted hybridization, researchers are always stumped by a problem -how to optimize the weights of each algorithm. When the number of algorithms of the weighted hybridization is less then 3, then we can fine tune the weight through repeating experiment, but when the number is more then 3, it is hard to get the weights through the same method. And that is what is addressed by this paper.
A 0.13µm CMOS full wave active rectifier with comparators for implanted medical devices

This paper presents a full wave active rectifier for biological implanted devices using a new original comparator to reduce the rectifier transistors reverse current. The rectifier was designed in 0. 13µm CMOS process and it can deliver 1.09Vdc when receive a minimum signal of 1.2Vac. It achieves a power conversion efficiency of 81% when working at 13.56MHz Scientific and Medical (ISM) band.
Crafting a one-dimensional identity: exploring the nexus between totalisation and reinvention in an elite sports environment

ABSTRACT Despite burgeoning literature on the agency of sports coaches and the nature of coaching fields, scant attention has been paid to the process through which coaches’ identities are socially constructed. Informed by Goffman's concept, total institution, and Scott's reinventive institution, this article explores how coaches’ athletic experiences within totalising sports environments influence the formation of their identity as coaches. Drawing on South Korea's elite sports context where almost all high-performance coaches are former athletes who share experiences of being trained under an authoritative sport regime, a qualitative analysis was conducted on data from documents and in-depth interviews with 26 participants. Findings reveal that: (1) individual selves in the coercive sports setting were eroded and rewritten by the totalising nature of the social architecture; (2) nevertheless, the individuals displayed a certain degree of agency in their desire to reinvent themselves in the sports setting; and (3) the nexus of institutional power of the sport setting and voluntary participation of the individual athletes engendered a one-dimensional identity that was optimised only for the elite sports setting. These findings suggest that the identities shaped within South Korea's elite sports environment steered athletes to become coaches upon retirement from sports, reluctantly returning to, or remaining in, their comfort zone – the totalising environment of elite sports.
GaAsSb DHBT IC technology for RF and microwave instrumentation

A high performance GaAsSb base, InP collector DHBT IC process has been developed for RF, microwave and telecommunications instrumentation. The GaAsSb process achieves f/sub T/ and f/sub max/ values of 185 GHz and 220 GHz respectively, at operating currents of J/sub c/= 1.5 mA//spl mu/m/sup 2/, with catastrophic on-state breakdown voltages of BVcbx = 9 V at J/sub c/= 1.3 mA//spl mu/m/sup 2/. Typical /spl beta/= 50. The MTTF values of > 1 /spl times/ 10/sup 6/ h at maximum operating conditions (T/sub j/ = 125 /spl deg/C, J/sub c/ = 2.0 mA//spl mu/m/sup 2/) are suitable for instrumentation-grade applications. The DHBTs are integrated with a 3-layer metal chassis including 2 resistor levels and an MIM capacitor. This IC technology is manufactured on a 3" production line for use in Agilent Technologies instrumentation products.
Semi-supervised learning with sparse grids

Sparse grids were recently introduced for classification and regression problems. In this article we apply the sparse grid approach to semi-supervised classification. We formulate the semi-supervised learning problem by a regularization approach. Here, besides a regression formulation for the labeled data, an additional term is involved which is based on the graph Laplacian for an adjacency graph of all, labeled and unlabeled data points. It reflects the intrinsic geometric structure of the data distribution. We discretize the resulting problem in function space by the sparse grid method and solve the arising equations using the so-called combination technique. In contrast to recently proposed kernel based methods which currently scale cubic in regard to the number of overall data, our method scales only linear, provided that a sparse graph Laplacian is used. This allows to deal with huge data sets which involve millions of points. We show experimental results with the new approach.
Complex Segregation Analysis of Pedigrees from the Gilda Radner Familial Ovarian Cancer Registry Reveals Evidence for Mendelian Dominant Inheritance

Background Familial component is estimated to account for about 10% of ovarian cancer. However, the mode of inheritance of ovarian cancer remains poorly understood. The goal of this study was to investigate the inheritance model that best fits the observed transmission pattern of ovarian cancer among 7669 members of 1919 pedigrees ascertained through probands from the Gilda Radner Familial Ovarian Cancer Registry at Roswell Park Cancer Institute, Buffalo, New York. Methodology/Principal Findings Using the Statistical Analysis for Genetic Epidemiology program, we carried out complex segregation analyses of ovarian cancer affection status by fitting different genetic hypothesis-based regressive multivariate logistic models. We evaluated the likelihood of sporadic, major gene, environmental, general, and six types of Mendelian models. Under each hypothesized model, we also estimated the susceptibility allele frequency, transmission probabilities for the susceptibility allele, baseline susceptibility and estimates of familial association. Comparisons between models were carried out using either maximum likelihood ratio test in the case of hierarchical models, or Akaike information criterion for non-nested models. When assessed against sporadic model without familial association, the model with both parent-offspring and sib-sib residual association could not be rejected. Likewise, the Mendelian dominant model that included familial residual association provided the best-fitting for the inheritance of ovarian cancer. The estimated disease allele frequency in the dominant model was 0.21. Conclusions/Significance This report provides support for a genetic role in susceptibility to ovarian cancer with a major autosomal dominant component. This model does not preclude the possibility of polygenic inheritance of combined effects of multiple low penetrance susceptibility alleles segregating dominantly.
Physical training reduces peripheral markers of inflammation in patients with chronic heart failure.

AIMS Previous studies have shown an abnormal expression of cellular adhesion molecules and cytokines in chronic heart failure, which may be related to endothelial dysfunction characterizing this syndrome. Our study investigates the effects of physical training on serum activity of some peripheral inflammatory markers associated with endothelial dysfunction, such as granulocyte-macrophage colony-stimulating factor (GM-CSF), macrophage chemoattractant protein-1 (MCP-1), soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1 (sVCAM-1) in patients with chronic heart failure. METHODS AND RESULTS Serum levels of GM-CSF, MCP-1, sICAM-1 and sVCAM-1 were determined in 12 patients with stable chronic heart failure (ischaemic heart failure: 6/12, dilated cardiomyopathy: 6/12, New York Heart Association: II-III, ejection fraction: 24+/-2%) before and after a 12-week programme of physical training in a randomized crossover design. In addition, the functional status of chronic heart failure patients was evaluated by using a cardiorespiratory exercise stress test to measure peak oxygen consumption. Physical training produced a significant reduction in serum GM-CSF (28+/-2 vs 21+/-2 pg. ml(-1), P<0.001), MCP-1 (192+/-5 vs 174+/-6 pg. ml(-1), P<0.001), sICAM-1 (367+/-31 vs 314+/-29 ng. ml(-1), P<0.01) and sVCAM-1 (1247+/-103 vs 1095+/-100 ng. ml(-1), P<0.01) as well as a significant increase in peak oxygen consumption (14.6+/-0.5 vs 16.5+/-0.5 ml. kg(-1)min(-1), P<0.005). A significant correlation was found between the training-induced improvement in peak oxygen consumption and percentage reduction in soluble adhesion molecules sICAM-1 (r=-0.72, P<0.01) and sVCAM-1 (r=-0.67, P<0.02). CONCLUSION Physical training affects beneficially peripheral inflammatory markers reflecting monocyte/macrophage-endothelial cell interaction. Training-induced improvement in exercise tolerance is correlated with the attenuation of the inflammatory process, indicating that inflammation may contribute significantly to the impaired exercise capacity seen in chronic heart failure.
Hardware Supported Multicast in 2-D Mesh InfiniBand Networks

The multicast operation is a useful operation in parallel applications. With the hardware supported multicast of the InfiniBand Architecture (IBA), we propose a multicast scheme for mxn mesh InfiniBand networks based on the XY routing scheme. The basic concept of the proposed multicast scheme is to find the union sets of the output ports of switches that are in the paths between the source node and each destination node in a multicast group. We have implemented the proposed multicast scheme on a 2-D mesh InfiniBand network simulator. Several multicast cases with different message size and different traffic workload are simulated. The simulation results show that the proposed multicast scheme outperforms their corresponding unicast scheme for all simulated cases. The larger the message size, the number of multicast source nodes, and the size of the multicast group, the better speedup can be expected from the proposed multicast scheme.
Criminal Trajectories and Risk Factors in a Canadian Sample of Offenders

This study contributed to the criminal trajectory literature using a Canadian-based sample of offenders and examined childhood and adolescent predictors of trajectory group membership. The sample comprised 378 males who had been sentenced as youth, between 1986 and 1996, to one of two open custody facilities in Toronto, Canada. Official criminal records were obtained from late childhood and early adolescence into adulthood for an average follow-up of 12.1 years. Childhood and adolescent predictors reflecting individual, family, peer, and school domains were extracted from client files. Trajectory analysis yielded four groups, labeled moderate rate (MR); low rate (LR); high-rate, adult peaked (HRADL); and high-rate, adolescence peaked (HRADOL). Multinomial regression analyses indicated that risk factors representing the family and peer domains differentiated the MR, HRADL, and HRADOL groups from the LR group. Moreover, whereas both child and adolescent risk factors were associated with the MR, HRADL, and HRADOL groups, only adolescent risk factors were associated with the LR group.