Miracle-dz/UniFAR-FTUs huggingface dataset:
HOW DO ‘HIGH PERFORMANCE WORK SYSTEM PRACTICES’ INFLUENCE EMPLOYEE EXPERIENCE OF WORK?: THE ROLE OF WORKPLACE ORDER AND PREDICTABILITY

The growing body of empirical work on the impact of so-called ‘high performance work systems’ (HPWS) on employees has demonstrated a range of outcomes in different settings, suggesting that we should be sceptical of universal claims that HPWS are ‘good’ or ‘bad’ for employees. If we are to continue to develop useful knowledge of the impact of HPWS on employees, we need to move beyond simple ‘good vs bad’ debates and to begin to explore how and why particular employee outcomes emerge. This paper draws on insights from sociology, in particular labour process theory (LPT), as a means to explain the apparent positive impact of HPWS on employees’ experience of work. Our specific focus is on the extent to which HPWS practices contribute to positive experiences of work by meeting employees’ interests, specifically enhanced order and predictability at work. Utilising data from a survey of aged-care workers, we test the mediating effect of workplace order and predictability on associations between HPWS practices and commitment, satisfaction and emotional exhaustion. Our analysis suggests that associations between some HPWS practices and some employee outcomes are partially mediated by workplace order and predictability, lending credence to the argument that HPWS can work through meeting employee interests. The paper is divided into five main sections. In the first, we discuss conventional explanations for the positive impact of HPWS on employees’ experience of work, before moving in Section Two to introduce the potential role of interests. In the third section, we explain our dataset and variables. Section Four explains our analytical strategy and presents our results, while the final section of the paper discusses the implications of the findings.
Proceedings of the Maritime Big Data Workshop

The NATO STO Centre for Maritime Research and Experimentation, as part of its mission to put forward the technological maritime research, with the support of the European Union’s Horizon 2020 Programme has organized on May 910, 2018, the Maritime Big Data Workshop (MBDW). The workshop gathered together researchers, technological providers and members of the operational community to exchange their experience on Big Data innovations for maritime security, safety and security of maritime navigation and transport, sustainable fisheries and exploitation of ocean resources. For two days, 37 researchers and experts from Brazil, Canada, France, Germany, Greece, Italy, Portugal, South Africa, and Vietnam presented their work and main findings on Maritime and Big Data, including the outcomes of 6 ongoing Maritime Big Data projects and initiatives funded by the European Union: datAcron, MARISA, Ranger, EUCISE, AtlantOS, EMODnet. The workshop’s results enable to draw some preliminary conclusions on the current research and developments in Maritime Big Data. There is a general interest towards concrete societal and operational needs, coupled with an emerging tendency to develop methods combining heterogeneous, potentially complementary, information streams (mainly AIS, paired with SAR, Radar, METOC, acoustic), with an increasing attention towards source quality. The approaches adopted come from different areas of research, mainly machine learning and data mining, incorporating also techniques developed in Information and data fusion, but also data warehouse and online analytical processing. The current trend towards experimenting open source Big Data technologies is challenged by the integration of diversified sources of information, which comes with an increased exigence of enhanced data management capabilities for harmonised data sharing and processing that can overcome the sole exploitation of kinematic data. Meanwhile, there is a prevailing requirement to reduce the uncertainty of detection and prediction results, entailing the development of capabilities to formally handle information and source quality. Analogously, the emergence of novel Artificial Intelligence approaches that, despite showing promising results, challenge results’ interpretation, requires an increased involvement of experts in all the phases of the development (the so-called ``Human in the loop”), and the holistic incorporation of approaches addressing human factors’ aspects.
3D TRUE-AMPLITUDE ANISOTROPIC ELASTIC GAUSSIAN BEAM DEPTH MIGRATION OF 3D IRREGULAR DATA

Protasov, M.I. , Tcheverda, V.A. and Pravduhin, A.P., 2019. 3D true-amplitude anisotropic elastic Gaussian beam depth migration of 3D irregular data. Journal of Seismic Exploration, 28: 121-146. True amplitude seismic migration is the procedure, which provides not only the localization of geological objects but also the restoration of their so-called "reflectivity". This characteristic gives very important quantitative additional information about elastic parameters of the objects of interest. The paper addresses 3D seismic depth trueamplitude migration of 3D irregular data in anisotropic media based on beam decomposition of the data. The main objective is the development of the imaging procedure suitable for anisotropic media and handling 3D irregular seismic data without any preliminary regularization. The key components providing the desired image are elastic anisotropic Gaussian beams. Depending on the choice of the beam (quasi P or quasi S) we have PPor PS-images. Results of synthetic and real data processing are presented and discussed.
A Study of Ethanol Oxidation in High-Pressure Shock Tube: Ignition Delay Time Measurements and High-speed Imaging of the Ignition Process

Non-ideal effects in shock tubes are defined as deviations from the ideal shock-tube reactor assumption. Ideally, the thermodynamic state behind the reflected shock wave is homogeneous and can be calculated from the initial driven gas conditions and the speed of the incident shock wave. However, the development of a sidewall boundary layer [1] causes variations in the thermodynamic state of the compressed test gas [2], which can significantly affect the system and lead to time-dependent changes in temperature and pressure. At higher pressures, a gradual increase in pressure (dp*/dt) is observed and is often included when simulating ignition [3]. Non-ideal effects have an unneglectable impact on the study of fast chemical processes. In particular, uncertainties in the determination of the rate constants [4] as well as premature ignition (or preignition) at lower temperatures [5] were observed. For the combustion community, understanding preignition has become a major task in the last decade. Among other hydrocarbons, ethanol was found to be prone to have a high pre-ignition tendency [6].
Designing Muscle-powered Robotics with Super Coiled Polymers

When designing robotic systems, we heavily rely on motors, pneumatic actuators, hydraulic actuators, artificial muscles such as shape memory alloys (SMAs) to achieve actuation [1]. Cost, volume, mass, inertia, friction, among others, often need to be carefully considered, and it is not rare to end up with very few choices of actuation that are suitable for the application that we have in mind. “Super-coiled” polymer (SCP) actuators are a recentlydiscovered, low-cost, lightweight, and accessible actuation technology. These SCP muscles are constructed from twisting sewing threads or fishing lines until coils are formed, and can achieve large contraction in length when they are heated [2]–[5]. With different thread materials, muscle thicknesses, and operation conditions, SCP muscles can generate varying performances and can be adapted or scaled to different applications. Their unique properties show strong promise as a transformative artificial muscle technology for robotic applications. Yet, due to the relative novelty of these actuators, there has been sparse information regarding how to design these actuators for use in robotic applications. This paper’s primary goal is to describe SCP actuators for robot makers. In particular, it discusses the muscle construction approaches and design considerations, and presents preliminary design examples of robots that use SCP actuators. Future prospects of this new technology are considered.
Ontology Based Anomaly Detection for Cellular Vehicular Communications

Intelligent Transportation Systems are being deployed all over the world, providing new applications and services that could prevent accidents, help regulate traffic and the automotive industry in designing energy efficient vehicles. However, enabling vehicles to communicate with the rest of the world ultimately leads to new security challenges with connected vehicles becoming new interesting targets for malicious actors. Thus, safeguards need to be deployed to detect malicious and anomalous activities in vehicular communications. This paper presents an approach to anomaly detection based on an ontological representation of cellular vehicular communication.
HEC MONTRÉAL Addicted to my smartphone: what factors influence the task- switching cost that occurs when using a smartphone while walking?

Distracted walking is an ever-increasing problem. Studies have already shown that using a smartphone while walking impairs attention and increases the risk of accidents. This study seeks to determine if smartphone-addiction proneness magnifies the risks of using a smartphone while walking. In an experimental design, participants, while walking on a treadmill and engaged in a smartphone task, were required to switch tasks by responding to an external stimulus i.e. determining the direction of movement of a point-light walker. Participants were chosen to cover a range of smartphone-addiction proneness. Four smartphone-use conditions were simulated: a control condition, an individual conversation condition, a gaming condition, and a group conversation condition. Our results show that participants with a higher smartphone-addiction proneness were also prone to higher task-switching costs; these lead to lower performance in the direction determination task. This effect was magnified by certain emotional states that participants reported having felt during the task (i.e., lower valence and higher dominance). Furthermore, of all the smartphone tasks, the gaming condition was found to be the most distracting.
Syllabus Review Volume 2, Issue 3 (2011) 114-121

The Kinetic Monte Carlo simulation method is used to study the temperature induced order-disorder phase transition in a two dimensional binary alloy (AB). Using the equivalence between the two dimensional Ising spin model and a binary alloy, the second order characteristic of this transition is verified, both with the short and the long range order parameters. The transition is clearly shown for an alloy with 50% of each kind of atoms. It was established that the initial configuration affects the evolution of these parameters at low temperature. The specific case of an alloy with 40% of non interacting B-atoms was investigated. It is shown that for a fixed interaction energy between Aand B-atoms, the order-disorder phase transition is always pointed out and that the critical temperature increases linearly with the pair interaction energy between A-atoms.
Anthropometric Characteristics and Body Composition of the Rural and Urban Children

Aim: The purpose of the present study was to evaluate the anthropometric characteristics and body composition components of the rural and urban children from Punjab. Methodology: Total 360 children (180 rural and 180 urban) of age between 12 to 18 years were selected to participate in the study. Height of the subjects was measured with the stadiometer. Body mass was assessed by using the portable weighing machine. Widths and diameters of body parts were measured by using digital caliper. Girths and lengths were taken with the flexible steel tape. Skinfold thicknesses were measured with the help of Harpenden skinfold caliper. Results: The results revealed that the rural children were significantly taller (p<0.01) and heavier (p<0.01) than the urban children. Body mass index was significantly higher (p<0.05) in rural children as compared to urban children. The rural children also had significantly greater length measurements (p<0.01), circumferences (p<0.01) and diameters (p<0.01) in comparison to urban children. The rural children possessed significantly higher lean body mass (p<0.01) than the urban children. Conclusion: In conclusion, it is evident from the results that place of residence had impact on the anthropometric characteristics among the children.
Developing and Implementing a Domestic Violence Intervention Strategy in the Seventh-day Adventist Church in Port Harcourt, Nigeria

Problem. Increasingly Seventh-day Adventist church families in the Port Harcourt area of Rivers Conference are experiencing domestic violence. During ministerial meetings, pastors express their growing frustrations and concerns about family quarrels which sometime result into physical attacks and such attacks then escalate beyond common understanding. Method. This exploratory study utilized a survey questionnaire administered to 377 participants, ages 18 years and above, attending Seventh-day Adventist churches in PortHarcourt, Nigeria. The instrument for this research was adapted from the Conflict Tactics Scale (Straus, 1979) and the National Violence Against Women Survey (NAVAW) (Tjaden & Thonnes, 2000). The CTS is a 39-item scale which I adapted to a 28-item scale instrument in order to measure intimate partner victimization in my target population. Utilizing a Statistical Package for Social Science (SPSS), I converted the raw data into a form useful for analysis and displayed the results in simple percentages. Results. The results of this study highlight six broad categories of abusive behavior that are: physical, sexual, emotional, isolating, surveillance, and controlling behavior. Controlling and demeaning behavior was the most frequently reported form of abuse in this population. Conclusions. Controlling and demeaning behavior, which increases the likelihood of physical and sexual abuse (Antai, 2011; Johnson, 2006; Stark, 2007), was the most frequently reported form of victimization experienced among the participants of this study. Findings emphasize the need for pastoral care and the need for professional training on abuse prevention for the clergy and laity.
A Novel Experimental Technique to Simulate Shock Behaviour and Bursting Failure of Roadways

Rockburst is a sudden and dynamic failure of rock that can cause serious injury to miners and damage to the underground excavations. Stress path, dynamic disturbance, and support system play important and different roles in the generation processes of rockbursts, resulting rockbursts with variety of reasons and failure modes. A test facility that was capable of simulating such factors was developed to study shock behaviour and bursting failure of roadways. The results demonstrate that the modeled roadway was in good condition and retained a shock resistance capacity after three drop loads. Until the acceleration amplitude increased to a certain level at the time of the fourth dynamic loading, sudden bursting failure of modeled roadway occurred. Many large fragments ejected from the upper and middle regions of the roadway, accompanied with loud noise. A deep pit was observed after the bursting failure. The axial of the fan-shaped pit had an angle above the vertical. In addition, shock behaviour of the modeled roadway had been changed by the anchor-net support. Significant differences appeared between the acceleration signals measured in two roadway sections with and without the anchor-net support. The acceleration magnitude of the supported roadway section was strongly reduced by the presence of the anchor-net support. Even when the unsupported roadway section underwent a sudden injection failure, the roadway with anchor-net support was in good condition. This study may eventually lead to a methodology for studying the rockbursting resistance capacity of underground roadways.
A Critical Review of Taiwanese Research

Since environmental education is a lifelong process and the everyday world beyond the school may be the main channel for environmental learning, this paper reviewed four Taiwanese studies that have examined the types of signifi cant life experiences aff ecting the cultivation of environmental action. In the current paper, the author critiques these studies’ fi ndings. Based on the performed review, implications for program development and instructional practice in Taiwan are presented.
Characterization of soot in a co-annular ethylene diffusion flame when submitted to a dc electric field

Combustion-generated soot which have a significant impact on climate change and human health is dependent on its size and morphology [1,2]. That’s why a large part of research in the combustion domain has been dedicated to soot formation and reduction processes. Application of electric fields during combustion has shown a potential effect in reducing soot production [3]; it has been studied for many years and the ionic wind constitutes the main explanation of the observed effects on the flame structure and pollutant emissions. The interaction mechanisms of an electric field with a diffusion flame involve both ionic wind and direct action on charged particles. Here, the effects of a dc electric field on the soot characteristics of a laminar 65 mm-long ethylene diffusion flame burning in an air co-flow are investigated.
On the Social Organisation of Space

This paper reports on-going work in the eSCAPE Project (Esprit Long Term Research Project 25377) directed to the research and development of electronic landscapes for public use. Our concern here is to elucidate a sociologically informed approach towards the design of electronic landscapes or ‘virtual worlds’. We suggest and demonstrate through ethnographic studies of virtual technologies at a multimedia art museum and information technology trade show that members sense of ‘space’ is produced through social practices tied to the accomplishment of activities occurring ‘within’ the locations their actions are situated. Space, in other words, is socially constructed and shaped through members’ practices for accomplishing situated activities. We explicate, by practical examples, an approach to discovering social practices in and through which a sense of space is constructed and outline how such understandings may be used to formulate requirements for the design of electronic landscapes. In explicating our ethnographically informed approach, we outline how future technologies may be developed through the situated evaluation of experimental prototypes in public use.
Neuromechanical simulation of human locomotion: descending modulation of spinal reflex parameters during speed changes

The structure of their neural and biomechanic systems allows animals and humans to walk smoothly with minimal involvement of conscious control, even though locomotion is a highly complex motor task [1]. Locomotion is controlled in a hierarchical way: the spinal level generates muscle excitation patterns by combining feedforward pattern generators with sensory feedback [2], while the brain modulates the spinal control based on desired gait characteristics (e.g. speed and direction) [3] [4]. However, little is known about the exact role of different brain areas in control of human locomotion and the interaction between descending pathways and spinal network. Yet, the pathological gaits resulting from brain lesions (e.g. stroke and cerebral palsy) show that abnormal descending pathways may lead to muscle weakness and spastic behavior [5]. Therefore, the brain contribution is essential to achieve efficient walking patterns.
The way of self developing to be teacher as researcher: A case study of one elementary teacher

A case study was narrative-biography approach. The purpose of the study was to explore in the way of self developing to be teacher as researcher in context, method, turning point for developing and teacher’s emic and characteristics. A case was one elementary teacher who was well known at classroom action research. Interviewing, observation, documentary and artifacts studying were used for collecting data. Data was analyzed by inductive analytic method. The study result was as follow: a case was a woman teacher who finished in B.Ed. and has taught in this school for 28 years. The educational reform in 1999 was the most affect for her to improve classroom action research. She has used every methods for enhancing herself to be good at classroom action research. Finally she evaluated herself and found that her knowledge and ability in classroom action research was not well. So, she stopped going out to improve herself in classroom action research. After that she paid attention to be a good teacher: doing a lesson plan, teaching, assessment, reflection and revising her learning management. Her characteristics is a good practice. She was proud in herself that her students were good at their learning outcomes. Keywords-component; case study, narrative-biography, teacher as researcher
Provably Safe and Scalable Multivehicle Trajectory Planning

The Hamilton–Jacobi (HJ) reachability is a promising tool for guaranteeing goal satisfaction and safety for multivehicle systems. However, a direct application of HJ reachability in most cases becomes intractable due to its exponentially scaling computational complexity with respect to the number of vehicles. In the work by Chen et al. (2018), the sequential trajectory planning (STP) method was proposed, which allows safe, multiple-vehicle trajectory planning to be done with a computation complexity that scales linearly with the number of vehicles. However, the STP computation is still not tractable for large-scale systems using the currently available tools. In this work, we introduce BEACLS, a C++-based reachability toolbox, that can leverage GPU parallelization to improve the computation speed of HJ reachability by nearly 100 times compared with the existing MATLAB implementations. We then combine BEACLS with STP for the safe, large-scale multiple-unmanned aerial vehicle (UAV) planning in a city environment and a multicity environment. We show that intuitive multilane structures naturally emerge, and the size of disturbances and the vehicle density are the primary factors determining the number and width of lanes. We also extend the STP method to safely account for an adversarial intruder during trajectory planning. In the proposed formulation, the number of vehicles that need to replan is a design parameter that can be chosen based on the computational resources available during run time. The proposed formulation along with BEACLS provides both an algorithm and an efficient computational tool for resilient, large-scale multiple-vehicle trajectory planning.
Observation of transformation of chemical elements during electric discharge

Results of experimental studies of electric explosion, in water, of foils made of extremely pure materials are presented. New chemical elements detected both by spectroscopic measurements during the electric discharge and by a mass-spectrometer analysis of sediments after the discharge have been found to appear. A "strange" radiation associated with the transformation of chemical elements has been registered. A hypothesis has been put forward that particles of the "strange" radiation have magnetic charge.