Miracle-dz/UniFAR-FTUs huggingface dataset:
Realising Critical HRD: Stories of Reflecting, Voicing, and Enacting Critical Practice

This book contends that the project of Critical Human Resource Development (CHRD) is to effect change/transformation, and that, as such, critical scholars must expose the injustices and inequities associated with the neoliberal narrative which forms the dominant rationality of current mainstream HRD practice. In other words, those that would change must first recognise that there is a problem worthy of being transformed. It is here that much of the CHRD project has plateaued; there is much theorising on dominant ideology, hegemony, power structures, and other artefacts of a critical agenda, yet there are comparatively few empirical explorations of the CHRD project that would facilitate practical engagement. This book offers a means to help progress CHRD from its current concern with problem recognition to a champion of meaningful change. This book offers a series of chapters that provide examples of different approaches to engaging in interventions that allow CHRD professionals to challenge power structures, and, in turn, begin to effect change for organisations and employees alike. The chapters are clustered in three distinct approaches to thinking about, talking about and doing critical practice; thus, the sections of the book are titled “Reflecting”, “Voicing”, and “Enacting”.
Lexical organization in Mandarin-speaking children: insights from the semantic fluency task

Lexical organization in Mandarin-speaking children: insights from the semantic fluency task. ii To Hsusheng iii ACKNOWLEDGEMENTS Before the completion of this project it was hard to imagine that it is even more difficult to write the acknowledgements than the thesis itself—so many people have been helping me out in different ways. This research project would not have been possible without the support of lots of people and organizations. I would like to express my deepest gratitude to my academic advisor, Dr. Karla McGregor, who is not only an amazing researcher but a caring, patient, talented, passionate mentor. Whenever I need help of any kind, she is always patient and supportive, trying to work something out—even before I ask for help. I am really lucky to have her as my advisor. Huge thanks also go to the members of my committee, Dr. who have provided me with many insightful comments and suggestions for my study plan, this project, and future studies. Aphasia Lab, who gave me a lot of useful feedback on analyzing the semantic fluency data when I was completing research hours at the lab in spring 2011. I want to thank all the participating children and their parents, who made this thesis possible. Thanks to the teachers and administrators in the participating kindergartens and elementary schools in Taipei City and Taichung City, Taiwan for believing in the value of research and helping me on participant recruitment. Thanks to Yi-Wen Su for coding part of my data for reliability analysis. For coding semantic fluency data in this study it is essential but difficult to think like a child. Without her input, I would have missed some interesting insights into children's perspective on categorization. iv A special thank-you to Dr. Rick Arenas, who provided assistance on calculating the proximity scores for the AddTree analysis. The program he wrote had saved me enormous time in carrying out the analysis. who had been giving me helpful comments on this project. Very special thanks go to Nichole Eden for always standing by me throughout these years. Thanks to my fellow students at the Department of Communication Sciences and Disorders, particularly Joanna C. Lee and Shanju Lin, who had been giving me suggestions on my research and helping me out even before I came to the University of Iowa. Special thanks go to the friends in a study group: who often encouraged me when I …
Learning From Rape Crisis Volunteers: Remembering The Past, Envisioning The Future

While research on sexual violence, rape crisis centres and volunteers is extensive, there are very few empirical studies that draw specifically on the experiences of rape crisis volunteers. Instead, most of the literature pertaining to rape crisis work focuses on the efforts of social workers or other paid staff. When rape crisis volunteers are examined, the focus is primarily on the context through which their work is performed, for instance, how a rape crisis centre operates in relation to other community organizations (Campbell, 1998) or whether a specific rape crisis centre upholds feminist philosophies (Maier, 2008). Studies are also usually restricted to the negative effects of rape crisis work (for example, how rape crisis workers experience anxiety, social withdrawal and vicarious trauma) or focus on what sustains rape crisis workers while working in a stressful environment (Baird and Jenkins, 2003; Hellman and House, 2006; Thornton and Novak, 2010; Wasco and Campbell, 2002). Using the life history approach, this study builds on previous research and explores the experiences of volunteers at rape crisis centres across Ontario, Canada. In particular, the following issues were examined: motivations to volunteer, personal challenges and tensions, as well as challenges with respective centres. Findings indicate that all participants in the study have directly and/or indirectly experienced a range of different kinds of violence. Also, participants noted a range of complex and interconnected motivations for their initial and ongoing involvement in rape crisis work, most notably, self-healing. Finally, most participants expressed hesitancy towards identifying as feminists and did not associate feminism and the anti-violence movement as being strictly related to women. Theorizing the experiences of rape crisis volunteers through the lens of standpoint theory offers a new approach to knowledge
Cache-Efficient Aggregation: Hashing Is Sorting

For decades researchers have studied the duality of hashing and sorting for the implementation of the relational operators, especially for efficient aggregation. Depending on the underlying hardware and software architecture, the specifically implemented algorithms, and the data sets used in the experiments, different authors came to different conclusions about which is the better approach. In this paper we argue that in terms of cache efficiency, the two paradigms are actually the same. We support our claim by showing that the complexity of hashing is the same as the complexity of sorting in the external memory model. Furthermore we make the similarity of the two approaches obvious by designing an algorithmic framework that allows to switch seamlessly between hashing and sorting during execution. The fact that we mix hashing and sorting routines in the same algorithmic framework allows us to leverage the advantages of both approaches and makes their similarity obvious. On a more practical note, we also show how to achieve very low constant factors by tuning both the hashing and the sorting routines to modern hardware. Since we observe a complementary dependency of the constant factors of the two routines to the locality of the input, we exploit our framework to switch to the faster routine where appropriate. The result is a novel relational aggregation algorithm that is cache-efficient---independently and without prior knowledge of input skew and output cardinality---, highly parallelizable on modern multi-core systems, and operating at a speed close to the memory bandwidth, thus outperforming the state-of-the-art by up to 3.7x.
Weltanschauliche Selbstbestimmung und Einstellung zu sozialer Ungleichheit : Unterschiede im deutschen Post-Sozialismus?

Empfohlene Zitierung / Suggested Citation: Terwey, M. (1995). Weltanschauliche Selbstbestimmung und Einstellung zu sozialer Ungleichheit: Unterschiede im deutschen Post-Sozialismus? In H. Sahner, & S. Schwendtner (Hrsg.), 27. Kongreß der Deutschen Gesellschaft für Soziologie Gesellschaften im Umbruch: Sektionen und Arbeitsgruppen (S. 674-679). Opladen: Westdt. Verl. https:// nbn-resolving.org/urn:nbn:de:0168-ssoar-141097
A study of RNA secondary structure prediction using different mutation operators

Ribonucleic Acid (RNA) has important structural and functional roles in the cell and plays roles in many stages of protein synthesis as well. The functions of RNA molecules are determined largely by their three-dimensional structure. SARNA-Predict has shown excellent results in predicting RNA secondary structure based on Simulated Annealing (SA). SARNA-Predict uses a permutation-based representation to the RNA secondary structure and this paper investigates the impact of the mutation operators in this algorithm. Experiments were performed using a sample of eleven sequences from four RNA classes. The results presented in this paper demonstrate that SARNA-Predict using the percentage swap translocating mutation operator can produce similar results when compared with previous research. Furthermore, the new operator has the potential of reaching a solution with a lower free energy. This supports the use of the proposed operator on RNA secondary structure prediction of other known structures.
Photogrammetric Bundle Adjustment With Self-Calibration of the PrimeSense 3D Camera Technology: Microsoft Kinect

The Kinect system is arguably the most popular 3-D camera technology currently on the market. Its application domain is vast and has been deployed in scenarios where accurate geometric measurements are needed. Regarding the PrimeSense technology, a limited amount of work has been devoted to calibrating the Kinect, especially the depth data. The Kinect is, however, inevitably prone to distortions, as independently confirmed by numerous users. An effective method for improving the quality of the Kinect system is by modeling the sensor's systematic errors using bundle adjustment. In this paper, a method for modeling the intrinsic and extrinsic parameters of the infrared and colour cameras, and more importantly the distortions in the depth image, is presented. Through an integrated marker-and feature-based self-calibration, two Kinects were calibrated. A novel approach for modeling the depth systematic errors as a function of lens distortion and relative orientation parameters is shown to be effective. The results show improvements in geometric accuracy up to 53% compared with uncalibrated point clouds captured using the popular software RGBDemo. Systematic depth discontinuities were also reduced and in the check-plane analysis the noise of the Kinect point cloud was reduced by 17%.
Thermal front analysis of detached divertors and MARFEs

A non-linear analysis is presented of localized regions of strong divergence of parallel heat flux-thermal fronts-in the edge and scrape-off layers of tokamaks. The phenomena of divertor detachment and MARFEs are discussed in terms of one dimensional thermal conduction in the parallel co-ordinate, but retaining cross-field transport power divergence and radiation as source terms. A full finite aspect-ratio geometry is retained and has important effects. Thermal fronts are shown to require either localization of the source terms or density control, to be stable against parallel motion. The edge density range over which the front is naturally localized to the divertor leg is shown to be rather small. The size, stability and preferred position of MARFEs are predicted and are in agreement with experiment
Tasks Scheduling using Ant Colony Optimization

Problem statement: Efficient scheduling of the tasks to heterogeneous processors for any application is critical in order to achieve high pe rformance. Finding a feasible schedule for a given task set to a set of heterogeneous processors without ex ceeding the capacity of the processors, in general, is NP-Hard. Even if there are many conventional approaches available, people have been looking at unconventional approaches for solving this problem. This study uses a paradigm using Ant Colony Optimisation (ACO) for arriving at a schedule. Approach: An attempt is made to arrive at a feasible schedule of a task set on heterogeneous processors ensuring load balancing across the processors. The heterogeneity of the processors is modelled by assu ming different utilisation times for the same task on different processors. ACO, a bio-inspired computing paradigm, is used for generating the schedule. Results: For a given instance of the problem, ten runs are c onducted based on an ACO algorithm and the average wait time of all tasks is computed. Also th e average utilisation of each processor is calculat ed. For the same instance, the two parameters: average wait time of tasks and utilisation of processors ar e computed using the First Come First Served (FCFS). The results are tabulated and compared and it is found that ACO performs better than the FCFS with respect to the wait time. Although the processor utilisation is more for some processors using FCFS algorithm, it is found that the load is better bala nced among the processors in ACO. There is a marginal increase in the time for arriving at a schedule in AC O compared to FCFS algorithm. Conclusion: This approach to the tasks assignment problem using ACO performs better with respect to the two parameters used compared to the FCFS algorithm but the time taken to come up with the schedule using ACO is sli ghtly more than that of FCFS.
Space-Time Block Codes with Full Diversity using Linear Precoding and Linear Receivers

Abstract— In order to increase the diversity order of a multiantenna system at a moderate cost of complexity, one may choo se Orthogonal Space-Time Block Coding (OSTBC). In this paper, OSTBC is combined with linear precoding matrices to improve the space-time-frequency diversity. Different linear precoding matrices based on either Fourier, Vandermonde or Hadamard constructions are proposed where a simple linear de-precod er can be chosen at the receiver part which performs very close to th e Maximum Likelihood (ML) decoder. The system is generalized to different numbers of transmit antennas and different sizes of precoding matrices. It is shown that the combined scheme efficiently exploits the space-time-frequency diversity u sing a linear decoder leading to an OSTBC with maximal diversity for more than two antennas when a Zero Forcing (ZF) or when an Minimum Mean Square Error (MMSE) equalizer is chosen.
An Independent Set Based Approach Using Random Degree Selection Distributed Algorithm for Graph Coloring

This paper deals with algorithms for maximal independent set on random and manual graphs. The maximum independent set problem (MIS) is one of the optimization problems and it is an important component of many networking algorithms. This problem is relevant for many practical applications such as register allocation in a compiler, assigning channels to radio station, scheduling of examinations, graph coloring. A maximal independent set is also a dominating set in the graph, and every dominating set that is independent must be maximal independent, so maximal independent sets are also called independent dominating sets.
Local and Non-Local Feature-Based Kernel Nonnegative Matrix Factorization Method for Face Recognition

Based on the kernel method and graph theory, this paper proposes a novel Kernel Non-negative Matrix Factorization with Local and Non-local feature (LN-KNMF) approach for face recognition. We establish the objective function in kernel space which incorporates two scatter quantities, namely local scatter and non-local scatter. They are determined by the local adjacent graph matrix and non-local adjacent graph matrix respectively. The update rules of the proposed LN-KNMF method are derived using polynomial kernel function and gradient descent method. Subsequently, we theoretically prove the convergence of the proposed algorithm by means of a constructed auxiliary function. Experimental results on the ORL face database demonstrate the superior performance of our approach against some NMF-based methods.
Area Requirement of Gabriel Drawings Area Requirement of Gabriel Drawings

In this paper we investigate the area requirement of proximity drawings and we prove an exponential lower bound. Namely, our main contribution is to show the existence of a class of Gabriel-drawable graphs that require exponential area for any Gabriel drawing and any resolution rule. Also, we extend the result to an innnite class of proximity drawings.
The S6KII (rsk) Gene of Drosophila melanogaster Differentially Affects an Operant and a Classical Learning Task

In an attempt to dissect classical and operant conditioning in Drosophila melanogaster, we have isolated the gene for ribosomal S6 kinase II (S6KII). This enzyme is part of a family of serine-threonine kinases that in mammals have been implicated in the MAPK (mitogen-activated protein kinase) signaling cascade controlling (among other processes) synaptic plasticity (long-term potentiation/long-term depression) and memory formation. The human homolog rsk2 has been linked to mental retardation (Coffin-Lowry syndrome). Mutant analysis in Drosophila shows that S6KII serves different functions in operant place learning and classical (pavlovian) olfactory conditioning. Whereas in the null mutant only pavlovian olfactory learning is affected, a P-element insertion mutant reducing the amount of S6KII only affects operant place learning. A mutant lacking part of the N-terminal kinase domain and performing poorly in both learning tasks is dominant in the operant paradigm and recessive in the pavlovian paradigm. The behavioral defects in the pavlovian task can be rescued by the genomic S6KII transgene. Overexpression of S6KII in wild type has a dominant-negative effect on the operant task that is rescued by the null mutant, whereas in the pavlovian task overexpression may even enhance learning performance.
St Joint International Symposium on System-integrated Intelligence 2012: 121 New Challenges for Product and Production Engineering a First Step towards Real-time Virtual Machine Migration in Heterogeneous Multi- Processor Systems

The combination of system virtualization and heterogeneous multi-processor architectures can help to create efficient platforms that meet the requirements of increasingly complex embedded systems. Virtualization adds runtime flexibility and facilitates by modular synthesis the creation of a system of systems. However, existing virtualization solutions are characterized by a completely static mapping of virtual machines to processors and do not use the full potential of heterogeneous architectures. The presented solution applies migration and emulation to realize a dynamic assignment of virtual machines with real-time constraints. It identifies the necessary conditions for migration and the degree of communication between hypervisor and operating system that is indispensable for migration decisions.
Joint probability estimation of attribute chain for zero-shot learning

Zero-shot learning (ZSL) aims to classify the objects without any training samples. Direct Attribute Prediction (DAP) gives a solution with attribute space but it makes the assumption of attribute independence. To relax this assumption and consider the relation among attributes, Joint Attribute Chain Prediction (JACP) algorithm is proposed in this paper. It estimates the joint probability of attribute chain by the multiplication formula without the independence assumption. To deal with the difficulty of estimation, clustering algorithm of attributes is presented to generate several independent attribute sets. Each set trains a series of classifiers to calculate the joint probability individually and then the posteriori of classes can be obtained. Experiments on AwA and aPascal-aYahoo data sets demonstrate the effectiveness of our algorithm.
Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing

Universal Dependencies (UD) is becoming a standard annotation scheme cross-linguistically, but it is argued that this scheme centering on content words is harder to parse than the conventional one centering on function words. To improve the parsability of UD, we propose a back-and-forth conversion algorithm, in which we preprocess the training treebank to increase parsability, and reconvert the parser outputs to follow the UD scheme as a postprocess. We show that this technique consistently improves LAS across languages even with a state-of-the-art parser, in particular on core dependency arcs such as nominal modifier. We also provide an in-depth analysis to understand why our method increases parsability.
Realistic Performance Prediction Tool for the Parallel Block LU Factorization Algorithm

This work describes a realistic performance prediction tool for the parallel block LU factorization algorithm. It takes into account the computational workload, communication costs and the overlapping of communications by useful computations. Estimation of the tool parameters and benchmarking are also discussed. Using this tool we develop a simple heuristic for scheduling LU factorization tasks. Results of numerical experiments are presented.
Edible Mushrooms: Improving Human Health and Promoting Quality Life

Mushrooms have been consumed since earliest history; ancient Greeks believed that mushrooms provided strength for warriors in battle, and the Romans perceived them as the “Food of the Gods. ” For centuries, the Chinese culture has treasured mushrooms as a health food, an “elixir of life. ” They have been part of the human culture for thousands of years and have considerable interest in the most important civilizations in history because of their sensory characteristics; they have been recognized for their attractive culinary attributes. Nowadays, mushrooms are popular valuable foods because they are low in calories, carbohydrates, fat, and sodium: also, they are cholesterol-free. Besides, mushrooms provide important nutrients, including selenium, potassium, riboflavin, niacin, vitamin D, proteins, and fiber. All together with a long history as food source, mushrooms are important for their healing capacities and properties in traditional medicine. It has reported beneficial effects for health and treatment of some diseases. Many nutraceutical properties are described in mushrooms, such as prevention or treatment of Parkinson, Alzheimer, hypertension, and high risk of stroke. They are also utilized to reduce the likelihood of cancer invasion and metastasis due to antitumoral attributes. Mushrooms act as antibacterial, immune system enhancer and cholesterol lowering agents; additionally, they are important sources of bioactive compounds. As a result of these properties, some mushroom extracts are used to promote human health and are found as dietary supplements.
Freedom of expression through social media and the political participation of young voters: A case study of elections in Jakarta, Indonesia

Freedom of expression in social media with ease to express an opinion, comment, be a friend, a follower of the candidate, as well as easy to share links and to post 'like', encouraging young voters to participate in the election and influencing their decision to vote. Young people are often considered as a group that does not matter even tend apathetic towards politics because they think their voices will not be heard by the authorities. However, advances in technology have removed this presumption by breaking down barriers to freedom of expression. The survey conducted on 385 university students in Jakarta and the Jakarta gubernatorial elections in 2012 and 2017 to a research context. Freedom to obtain information that is not limited and interaction in social media also encourage young voters to participate in elections.