Miracle-dz/UniFAR-FTUs huggingface dataset:
A total rewards framework for the attraction of Generation Y employees born 1981–2000 in South Africa

Orientation: The workforce is changing, as employers aim to attract qualified individuals from Generation Y, born 1981–2000, but strategies for attraction require adaption, as the ‘one-size-fits-all’ model no longer works for today’s multigenerational workforce.Research purpose: Determining what changes and priorities organisations need to consider for their total rewards frameworks to attract youth employees.Motivation for the study: Companies offer employees historical benefits that they do not want or value. This is important when one considers the attraction of Generation Y to organisations, as they are increasingly becoming a formidable factor in an organisations’ success and sustainability. The motivation for this study was understanding what rewards are aligned with the aspirations of this skilled generation, to attract them.Research approach/design and method: A sequential mixed-method approach was followed, where data were collected, using quantitative and qualitative methods. A questionnaire was distributed and a response rate of 276 participants from seven of the nine provinces in South Africa achieved. Interviews were conducted where 11 participants validated the quantitative findings.Main findings: Seven reward categories were found to affect Generation Y’s attraction to organisations, (1) leadership and environment (2) benefits (3) performance incentives (4) individual development (5) safe, secure working environment (6) work–life balance and resources and (7) performance recognition.Practical/managerial implications: A different approach is required for the attraction of Generation Y.Contribution/value-add: No empirical study exists that authenticates total rewards models for Generation Y, identifying the most important reward preferences and developing a new, more effective total rewards framework.
Numerical Analysis of an Isovolumetric Thermal Desorption Experiment

Our research group is currently investigating a new kind of thermal desorption experiment (TDE), which uses a hydrogen isotope by loading-unloading process yielding transport parameters. Safety issues are limiting the hydrogen loading content to 3 % at 105 Pa, while former experiments are using pure hydrogen for the loading process at nearly same pressure e. g. [1]. Especially the thermal elongation coefficient (TDE operating conditions 300° to 500 °C compatibility to stainless steel) forces to think about an alternative material of boron silicate glass for specimen containment, in this paper copper will be discussed. The analysis of TDE concerns the amount of hydrogen stored in the specimen, stored in the time variable gas phase as well as stored in the containment material. These three phases are coupled by phase equilibrium. The here developed analysis procedure can currently only be performed numerically for a two dimensional geometry. However a two dimensional analytical solution regarding the same boundary condition is currently under investigation. One part of the solution results of this problem can be compared to an additional analytical solution with simpler boundary conditions, e.g. a vanishing hydrogen amount inside the specimen containment observed in steady state. The numerical results will be used to check the suitability of several experimental scenarios, for example the usability of a copper based specimen containment. The approach currently practiced in many experiments is to simply subtract the zero rate of hydrogen without considering the phase equilibrium between the three mentioned phases. The main goal of this analysis procedure consists in the solution of the inverse problem, namely the extraction of the transport parameters like Sieverts ́-and diffusion-constant from a measured time dependent desorption pressure increase.
Views of lecturers on effective teaching in agriculture departments

The aim of this study is to determine the lecturers’ views about effective teaching and teaching methods used in agricultural faculty of Sulaimani University in Iraq through the lecturers’ views. The quantitative research method was used in the research. The quantitative data was collected throughout the applied questionnaire that consists of 42 items in the faculty of agricultural science of Sulaimani University which has seven departments and more than 400 lecturers with different titles. The sample of the study consists of 121 lecturers. The data have been collected and categorized into two variables (gender and working experience). Moreover, to conduct statistics techniques, Microsoft Excel and SPSS software has been used. Concerning the view of teaching, finding suggest different views in many items between male and female lecturers however less experienced lecturer candidates view is varying only in terms of communications between lecturer and students and promoting conceptual changing in students from more experienced ones
Analysing Fibre Composite Designs for High-Solidity Ducted Tidal Turbine Blades

This study elaborates a one-way fluid-structure interaction numerical model utilised in investigating the structural mechanics concerning the rotor blades comprising a ducted high-solidity tidal turbine. Coupling hydrodynamic outcomes as structural inputs in effort of acknowledging the most applicable setup, distinct designs are investigated, solid blades and cored blades, utilising fibre-reinforced composite materials, analysed within criteria related to blade axial deformation, induced radial strains, and rotor specific mass.
Becoming and Being a Camp Counsellor: a study of discourse, power relations and emotion

This study problematises current knowledge of camp employment in order to explore the role of emotions in both positive and negative experiences of camp counsellors. Young camp counsellors and management staff are reconceptualised in post-structuralist terms, that is, they are selves that are multiple and fragmented, engaged in everyday experiences and interactions, and constituted in discourse and practice (Marshall, 1997). Camp counsellors are situated in a nexus of power relations with campers, peers, camp management and their own self. Just how they negotiate these power relations is central to my study. In this way, a post-structuralist perspective informs a dynamic and deeper understanding of how power is at work in shaping the emotion work of camp counsellors. Thus I bring Foucault’s notion of power together with the sociology of emotions and emotion work. A reflexive methodology guided the design, data collection, analysis and writing of my research. After completing two pilot interviews, I conducted thirty-eight in-depth interviews during the fall of 2009 in Ontario, Canada. Interviews were transcribed and were coded both manually and then again using NVivo software for more complex analysis. Additionally, I gathered field notes, five staff manuals, 51 web-published Mission Statements, various camp textbooks and one leadership program curriculum. The data was analysed for themes as well as discursive practices. Analysis continued throughout the writing process where I included a number of personal narratives of camp experiences.
Empowering female pre-retirees with a goal focused coaching relationship and a direct focus on well-being: A mixed method multiple case study

This multiple case study of life coaching uses an embedded mixed method design to examine the question: How does an evidence based coaching approach, including the use of the PERMA Profiler, assist the selection of personally meaningful goals and enhance well-being for women at the preretirement phase of life? Thematic analysis of the data from three cases, including the coach and the client’s perspective, highlights a focus on specific goals, exploration and self-reflection that is anchored by higher order goals aligned to participants’ well-being values. Participants reported feeling more positive, in control and aware of the impacts on their well-being.
A Recommendation Algorithm Uses Contribution Factor for Selecting Influential Neighbor

Collaborative filtering recommendation algorithm based on KNN neighbor selection does not consider the blind follower of neighbors when selecting neighbors, which causes some neighbor users to play a minor role in predicting the target user's scoring of unknown items. In response to this problem, a contribution factor is proposed. Jointly evaluate the item set from this perspective, consider the neighboring user's recommendation capability, calculate the neighboring user's recommendation contribution, combine the traditional user similarity to jointly select the neighbors, and recalculate the neighbor user's weight of the unknown project to improve the recommendation performance. Experimental results show that this improved algorithm improves recommendation accuracy.
Blunted Neural Reward Responsiveness in Children With Recent Suicidal Ideation

Individuals with suicidal thoughts and behaviors experience abnormalities in reward-related processes, yet little is known about specific components or stages of reward processing that are impaired, especially in children. The primary aim of this study was to conduct an investigation of the Initial Response to Reward subconstruct of the National Institute of Mental Health’s Research Domain Criteria in relation to recent suicidal ideation (SI) in children. Participants were 23 children between the ages of 7 and 11 with a history of recent SI and 46 demographically and clinically matched children with no recent SI. Children completed a simple guessing task during which electroencephalographic signals were continuously recorded to isolate the reward positivity (RewP) event-related potential; specifically, we examined change in RewP (∆RewP), quantified as the difference between neural responses to monetary gains and neural responses to monetary losses. Children with recent SI exhibited significantly smaller (i.e., blunted) ∆RewP, providing initial evidence for blunted initial responses to reward in these children.
Model for Frequency Dependence of Thermal Permeability in Order to Quantify the Effects of Thermal Exchange on Wave Propagation in Multi Layered Porous Medium

The ability to quantify and predict the energy absorption/transmission characteristics of multi-layered porous medium is imperative if one is involved in the automotive, launch vehicle, commercial aircraft, architectural acoustics, petroleum exploration, or even in modeling human tissue. A case in point, the first four aforementioned fields rely on effective Noise and Vibration (NV) development for their commercial success. NV development requires the setting of NV targets at different system levels. The targets are then translated to Transmission Loss (TL), Insertion Loss (IL), and absorption (Alpha) performance for the multi-layered porous materials being utilized. Thus, it behooves to have a thorough understanding of the physics behind the energy dissipating mechanism of the material that entails the effects of the fluid meandering through the pores of the material and its interaction with the structural skeleton. In this section of the project the focus is on the thermal interchange that occurs within the porous medium. Via the acoustic modeling at the micro/macro level it is shown how this thermal exchange affects the acoustic compressibility within the porous material. In order to obtain a comprehensive approach the ensuing acoustic modeling includes the effects due to relaxation process, thus bulk viscosity and instantaneous entropy functions (effects due to vibration of diatomic molecules of air) are incorporated into the equation. The instantaneous entropy functions are explained by means of the Boltzmann’s distribution, partition function, and quantum states. The concept of thermal length and its connection to thermal permeability is clarified. Lastly, the results for TL calculations employing the aforementioned thermal exchange into the Transfer Matrix Method with finite size correction, (FTMM), pertaining to a simple multi-layered material is compared with experimentally obtained data.
The OSG Open Facility: an on-ramp for opportunistic scientific computing

The Open Science Grid (OSG) is a large, robust computing grid that started primarily as a collection of sites associated with large HEP experiments such as ATLAS, CDF, CMS, and DZero, but has evolved in recent years to a much larger user and resource platform. In addition to meeting the US LHC community’s computational needs, the OSG continues to be one of the largest providers of distributed high-throughput computing (DHTC) to researchers from a wide variety of disciplines via the OSG Open Facility. The Open Facility consists of OSG resources that are available opportunistically to users other than resource owners and their collaborators. In the past two years, the Open Facility has doubled its annual throughput to over 200 million wall hours. More than half of these resources are used by over 100 individual researchers from over 60 institutions in fields such as biology, medicine, math, economics, and many others. Over 10% of these individual users utilized in excess of 1 million computational hours each in the past year. The largest source of these cycles is temporary unused capacity at institutions affiliated with US LHC computational sites. An increasing fraction, however, comes from university HPC clusters and large national infrastructure supercomputers offering unused capacity. Such expansions have allowed the OSG to provide ample computational resources to both individual researchers and small groups as well as sizable international science collaborations such as LIGO, AMS, IceCube, and sPHENIX. Opening up access to the Fermilab FabrIc for Frontier Experiments (FIFE) project has also allowed experiments such as mu2e and NOvA to make substantial use of Open Facility resources, the former with over 40 million wall hours in a year. We present how this expansion was accomplished as well as future plans for keeping the OSG Open Facility at the forefront of enabling scientific research by way of DHTC.
Design of High Speed Low Power Counter using Pipelining

We present high-speed scalable counter architectures for high operating frequencies. The design methodology implemented in a 16 bit counter architecture uses basic module and subsequent modules for count generation. The triggering pulses for a subsequent module is generated from state transitions of basic module and preceding subsequent modules using State Exciting Logic (SEL) in case of synchronous operation where clock pulses trigger all the modules simultaneously. As an extension, we connected the modules in asynchronous mode where the most significant bit (MSB) of module/stage is used as clock pulse for the immediate succeeding module. The novelty of the design is the realization of all subsequent modules with equal number of gates, which maintain uniform setup time for all the D Flip Flops (FFs) in the module. And, thus the D FFs when triggered by clock pulse gives uniform output. The proposed counter is designed using VHDL code and simulated using Altera Quartus II EP1C20F400C7 device. Analysis reveals that the power dissipation of our proposed counter is 80.47 mW and 80.46 mW with delay parameter of 9.097 ns and 22.476 ns for synchronous and asynchronous connection respectively at 250 MHz.
How an augmented reality game (Pokémon GO) affected volunteer contributions to OpenStreetMap

Abstract. OpenStreetMap (OSM) has become one of the largest sources of volunteered geographic information (VGI), and the data is now used for a wide range of applications. A massively popular augmented reality game, Pokémon GO, recently adopted OSM data for its in-game map and many of its in-game mechanics. This study investigated: (1) How Pokémon GO affected the quantity of daily contributors and daily edits to OSM in South Korea (the only country where OSM data was used exclusively since the game’s launch); and (2) How the game affected volunteers’ contribution habits. The main findings were: (i) the number of daily contributors and daily edits both increased by more than 17 times following the launch of Pokémon GO in South Korea, but returned to more normal levels after around 1&frac12; months; (ii) Most individuals contributing to OSM because of Pokémon GO reportedly did so to improve the in-game map appearance and in-game mechanics; and (iii) Individuals motivated to contribute to OSM because of Pokémon GO tended to create/edit OSM “park” and “water body” features more than other OSM contributors. It is notable that the large increases in OSM contributors and edits occurred even in the absence of any formal guidance or encouragement by the game operator or other parties. If greater efforts are made to encourage participation in VGI initiatives linked to AR games, the observed impacts will likely be even more dramatic.
Complementary filter implementation in the dynamic language Lua

The article presents the complementary filter implementation, that is used for the estimation of the pitch angle, in Lua script language. Inertial sensors as accelerometer and gyroscope were used in the study. Methods of angles estimation using acceleration and angular velocity sensors were presented in the theoretical part of the article. The operating principle of complementary filter has been presented. The prototype of Butterworth's analogue filter and its digital equivalent have been designed. Practical implementation of the issue was performed with the use of PC and DISCOVERY evaluation board equipped with STM32F01 processor, L3GD20 gyroscope and LS303DLHC accelerometer. Measurement data was transmitted by UART serial interface, then processed with the use of Lua software and luaRS232 programming library. Practical implementation was divided into two stages. In the first part, measurement data has been recorded and then processed with help of a complementary filter. In the second step, coroutines mechanism was used to filter data in real time.
THE EFFECT OF CODE SWITCHING ON ENGAGING NON-ENGLISH MAJOR STUDENTS

When speakers share two or more languages in common, they often switch their languages in a conversation. It is true in the classes where both teachers and students must use a certain language as the language of instructions, as happening in the English classes of Computer Science students in Indonesia. Some teachers tend to always use English all the time with some considerations, whereas others often practice code-switching in the instructional process with other reasons, as well. This study is an observation of the effect of code switching to engage students in two English for computer science classes, in which the teacher in one class used code-switching and the other did not.DOI: doi.org/10.24071/ijiet.2019. 030206
Literacy, power and practices: taking a discourse-ethnographic approach to exploring adult literacy practices in Pakistan and the UK

ABSTRACT The framework for this paper takes its central orientation from the New Literacy Studies (NLS) body of research which focuses on the analysis of texts and practices rather than the skills-oriented perspective of large-scale quantitative studies. In this paper, these are the texts of everyday life and the literacy practices of adult migrants before and after their migrations. Barton and Hamilton (2000) claim that practices are neither accidental nor random but are given their structure by institutions. This includes social institutions, such as the family, education and religion, and includes those institutions which are formally structured through rules and procedures, such as schools. The analysis in this paper focuses on the sponsorship of literacy in Pakistan prior to one adult’s migration and the ways in which these literacies are taken up after migration to the UK. The contribution of this paper to the field of adult literacy is the multi-disciplinary methodological framework it presents for analysing the socio-political influences which shape the accessibility of literacy, accessibility which is taken for granted in large scale surveys which measure literacy skills. To do this, I combine work using the Discourse Historical Approach in Critical Discourse Studies (Wodak 2011) with the literacy practices approach set out above to explore how one Mirpuri family deploy their multilingual literacy resources.
Salud mental de adolescentes españoles según variables contextuales y horas de uso de internet

El análisis de la salud mental en adolescentes es un tema actual de interés internacional. El objetivo de esta investigación fue analizar la salud mental de los menores españoles, evaluada mediante la puntuación total de dificultades del Cuestionario de Capacidades y Dificultades (SDQ), en función del número de horas de conexión a internet y otras variables contextuales, como tipo de centro, sexo, curso y edad. La metodología utilizada fue un estudio ex post facto, de corte transversal, con una muestra formada por 430 estudiantes de España de 12 a 17 años. Los resultados muestran una asociación significativa entre la salud mental de los menores, el número de horas de uso de internet (χ2 = 10.2; p = 0.017) y la edad (χ2 = 11.86; p = 0.037). Sin embargo, esta asociación no se encontró con el tipo de centro educativo (U = 20026, p = 0.418), el sexo (U = 18638, p = 0.082) y el curso académico (χ2 = 1.62, p = 0.655). Se puede concluir que aquellos menores conectados a internet más de cinco horas al día presentaron mayores puntuaciones en dificultades en salud mental. Del mismo modo, los menores con edades entre 15 y 17 años, obtuvieron mayores puntaciones en dificultades en salud mental en comparación con los más jóvenes, de 12 años. Finalmente, se sugiere realizar labores de prevención en salud mental focalizadas en menores en la adolescencia tardía y que se conecten a internet más de cinco horas al día.
Multimodal human brain connectivity analysis based on graph theory

Billions of people worldwide are affected by neurological disorders. Recent studies indicate that many neurological disorders can be described as dysconnectivity syndromes, and associated with changes in the brain networks prior to the development of clinical symptoms. This thesis presents contributions towards improving brain connectivity analysis based on graph theory representation of the human brain network. We propose novel multimodal techniques to analyze brain imaging data to better understand its structure, function and connectivity, i.e., brain connectomics. Our first contribution is towards improving parcellation, i.e., brain network node definition, in terms of reproducibility, functional homogeneity, leftout data likelihood and overlaps with cytoarchitecture, by utilizing the neighbourhood information and multi-modality integration techniques. Specifically, we embed neighborhood connectivity information into the affinity matrix for parcellation to ameliorate the adverse effects of noise. We further integrate the connectivity information from both anatomical and functional modalities based on adaptive weighting for an improved parcellation. Our second contribution is to propose noise reduction techniques for brain network edge definition. We propose a matrix completion based technique to combat false negatives by recovering missing connections. We also present a local thresholding method which can address the regional bias issue when suppressing the false positives in connectivity estimates. Our third contribution is to improve the brain subnetwork extraction by using multi-pronged graphical metric guided methods. We propose a connectionfingerprint based modularity reinforcement model which reflects the putative mod-