Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing Performance of Two Virtualization Software

To match the growing needs of better data handling in todays' networked society various solutions have been invented, many of which utilize remote servers called clouds for computing. For small networks of devices it is often beneficial to perform computing relatively close to the data source. This called edge computing, where the device controlling the components of the network is called the edge device. On edge devices, different kinds of software are ran to create software-based computers which are called virtual machines. Running those kinds of software is called virtualization and it is highly useful for controlling the components of a small network since every component can be assigned to a specific virtual machine on the edge device. Different virtualization software have different attributes when it comes to performance, energy efficiency and scalability. This thesis focuses on the performance side of those software and compares two virtualization software, KVM (Kernel-based Virtual Machine) and Docker, to find out which one is better to be used as an edge device in a small network of devices. Various performance measures were used for comparing the two platforms. These measures involve evaluating the speed of the processor, writing to and reading from hard disk, RAM speed and network bandwidth. The result data is gathered with software specified for testing the capabilities of devices. The data is then analyzed by calculating basic statistics from the data and by utilizing t-test. The conclusions of the comparisons is that Docker is better for the virtualization purposes of edge computing. Docker is clearly faster when it comes to CPU and network performance. For disk writing and reading and RAM performance, there is no clearly faster platform. However, the conclusion drawn from the latter two testing areas is that the dd tool, which is a basic linux command line tool, should probably not be used for perfomance testing since the results from those test were often not very logical.
University Teachers’ Perceptions of Screening Students’ Communication Skills: A Case Study from Speech Pathology

Excellent communication and interpersonal skills are necessary for allied health professionals to provide effective care/treatment and underpin the practice-based competencies allied health students must develop. Communication skills of first year speech pathology (SP) students are screened at the major Australian metropolitan university where this study took place. Final year students screen their first year peers as part of their practice-based education experience. Although this identifies first year students with communication difficulties, the perceived value to university teachers (academics and practice educators) has not been investigated. This study described university staff perceptions of screening the communication skills of first year SP students. The qualitative, descriptive design included two focus groups. The dataset was analysed thematically. The analysis revealed the staff perception of value in screening communication skills to inform student support. Two sub-themes contributing to this perception were ‘purpose of the screener’ and ‘content and administration of the screener’. Both staff groups strongly valued the screening process, stating that it is positive and useful. A similar screening process could identify first year students from a range of health fields with less skilled communication, who may require additional support to achieve competency.
The determinants of auditory distraction during reading : an eye-movement investigation

Everyday reading rarely occurs in complete silence. Whether reading at the office, on the way to work, or in a cafeteria, people are often exposed to background sounds such as speech, noise or music that may distract them from their task. While a lot of research has focused on how background sounds affect readers’ comprehension, less is known about their influence on the ongoing reading process. The present research investigated the effect of continuous and discrete background sounds on eye-movements during reading in an attempt to find out what makes such sounds distracting and how they affect online reading behaviour. The present investigation started with a meta-analysis of previous findings, which revealed that background speech, noise, and music all have a modest but reliably detrimental effect on reading comprehension. The first two experiments showed that intelligible speech disrupts eye-movements during reading mostly due to its semantic properties, which interfere with extracting the meaning of the text. This disruption was found to occur after the initial lexical processing of words and it resulted in more regressions and more re-reading fixations. However, participant’s immediate comprehension of the text remained unaffected. Two further studies suggested that the increase in re-reading behaviour occurs in an attempt to maintain comprehension of the text under such distracting conditions because intelligible speech disrupted comprehension accuracy once participants could not selectively re-read the text. The final experiment showed that discrete deviant sounds also disrupt eye-movements during reading and lead to longer fixation durations when the sound is first heard. However, unlike intelligible speech, this type of distraction was likely due to saccadic inhibition of the oculomotor system. Taken together, the present results demonstrate that eye-movements during reading can reveal subtle auditory distraction effects that may not be detected in measures of comprehension accuracy and that they can give important theoretical insights into their cognitive and oculomotor origin. The findings are discussed in terms of theories of auditory distraction and computational models of eye-movement control during reading.
Understanding Behavioural Design: Integrating Process and Cognitive Perspectives

Behavioural design is a crucial research area due to its potential in leveraging the positive outcomes of traditional design. Current need for theory building requires discerning the unique characteristics and challenges of behavioural design. To contribute towards this goal, the paper structures the conceptual and operational uniqueness of the behavioural design using the process and cognitive perspective. Process model uses the basic design cycle to discern the tasks and stages of behavioural design. Cognitive perspective uses dual process theory and cognitive strategies used by designers. Integrated model of process and cognitive perspective is the crucial contribution of this paper. A case study involving interview of lead designers from five behavioural design consultancies has been used to present and elaborate the usefulness of the integrated model of behavioural design. Integrated perspective links the process characters like incomplete analysis, simulation and evaluation stages, over reliance on the prescriptive methods, and unequal emphasis to multiple disciplines, with incomplete analytical process, and solution and knowledge driven strategy along cognitive perspective
Dark Personalities in the Workplace

Dark Triad personality traits in the workplace comprise the traits narcissism, Machiavellianism, and psychopathy. The Dark Triad, and its relationships with individual and organizational variables, has received increasing attention in organizational behavior research. These three traits share a lack of concern for others but also have idiosyncratic attributes. Narcissism is characterized by a sense of entitlement and self-absorption. Machiavellianism comprises a focus on instrumentality and willingness to engage in manipulation. Psychopathy, possibly the darkest of the three traits, renders individuals callous, impulsive, and displaying antisocial behavior. While Dark Triad traits may be adaptive in some regards (e.g., narcissism facilitates leadership emergence), the majority of empirical findings point to the damage that individuals high in those traits can do to other organizational members and effective organizational functioning.
Psychology and inferences about public policy.

The research literature of psychology may be brought to bear on public policy issues in three ways. First, psychology may be useful in establishing procedures for determining public policy. Second, psychology may be useful in formulating the structure for policy and its implementation. Third, the literature of psychology may be reflected in the actual content of public policy. There are many issues involved in making inferences about public policy from the psychological literature. Among these issues are the generalizability of findings from basic science and problems of overadvocacy on the part of policy consultants. Researchers expect that inferences from the psychological literature would lead to innovations in the policy, but the innovations themselves must be evaluated. In this article, we distinguish between the basic science of the field of pyschology and the use of scientific inquiry to address public policy problems. For example, the question, "Does threat of punishment deter people from behavior deemed undesirable," is one for which policy makers might look to the basic psychological literature for information. The question, "Does this program aimed at incarcerating first offenders for brief periods result in reduced likelihood of later delinquency," requires a specific answer from evaluation research. In an ideal situation, the research should be sound from a scientific standpoint. In this article, we will focus on the more general question and attempt to address the extent to which psychological knowledge might be used to inform public policy. The term information is used in this article in a fairly technical way, which was proposed by Shannon and Weaver (1949) in their seminal work on information theory. When we use the term, we mean that some communication is available that reduces uncertainty about a problem. If one is trying to determine whether nicotine is addictive, for example, the message that nicotine can be found in plants other than tobacco is not information. The message that it is an alkaloid is information to someone with a biochemical background—that is, it puts nicotine in a class of chemical compounds (alkaloids) that includes other addictive drugs. The so-called information explosion is not, in a technical sense, an information explosion at all because any given message reduces uncertainty, usually by only a small amount, with respect to any given problem. It would be correct to say mat we suffer from a message explosion. Anyone considering the implications for public policy of more or less basic science research in psychology has to face up to the fact that a very large proportion of that work, and particularly of the work most clearly relevant for policy, lacks face validity. Cook (1990) formulated the concept of causal generalization and the potential limits on the legitimacy of causal inferences based
Mechanical, thermal, and microstructural analysis of polyvinyl alcohol/montmorillonite nanocomposites

Structural biomaterials such as nacre, bone, and fish scales possess unique structures that have hierarchical spatial configurations, which provide excellent mechanical properties when compared to their individual constituents. These observations have been the motivation for designing and characterizing bioinspired materials with high strength, high stiffness, and corrosion-resistant properties while at the same time being environmentally friendly. It has been demonstrated that polymer-clay nanocomposites can simulate the behavior of nacreous biomaterials such as abalone shell. Mechanical, thermal, and microstructural analyses characterized solution-cast polyvinyl alcohol (PVA)/montmorillonite (MMT) nanocomposite properties over compositions ranging from the neat polymer to 25% volume fraction of MMT nanoclay. Uniaxial tensile experiments were performed at displacement rates of 1 mm/min and 50 mm/min. Strength values are similar to those shown by nacre and represent a homogeneous dispersion of the MMT in the polymer matrix. Strength-to-weight ratios are similar to many structural metals.
Can Security Be Built Intrinsically into SDN A Survey of Existing Scenario and the Way Forward

—In traditional networks, the threats owing to cyber-attacks, Trojans/ viruses, botnet based attacks, DoS/DDoS attacks etc. have posed challenges to the networks around the globe. In SDN scenario, decoupling of control and data planes along with the programmability of control plane have brought flexibility in contrast to existing ossified networks. Most of the limiting factors of traditional networks can effectively be addressed through a relatively new networking paradigm i.e. Software Defined Networks (SDN). The programmability feature of SDN presents opportunities to shape the future networking. However, while proposing new architecture for SDN, security aspects must be given due attention. In this paper, the authors present a snapshot of the existing status of security aspects of SDN and also highlight the issues that are yet to be addressed.
Operation Specification for Sequence Planning and Automation Design

When designing an automation system, an important challenge is to specify the different tasks, or operations, of the system. This has become a problematic bottle-neck in industry, since the rising needs on manufacturing flexibility increases the complexity of the entire manufacturing system, as well as its control function. This thesis studies how to specify the manufacturing operations when developing an automation system, especially how to plan the operations and the relations among them, called sequence planning, and how to implement them in a programmable logic controller (PLC). To manage the complete automation development process, a formal language called sequences of operations, SOP, is introduced. This language, together with a set of methods, are used to represent, identify and visualize complex operation relations, so that the behavior of the system can be understood. By the use of different views or perspectives, the sequence of operations related to e.g the part flow, robot operations or operator tasks can be visualized. These different perspectives help the user to easier understand the relation between the control of a cell and the mechanical design, as well as the product design and the total system behavior. The proposed language is based on a formal model, thus formal verification, optimization and synthesis are available. This is necessary since it is hard to find errors in complex system specifications. When implementing the control of manufacturing operations, much of the code is related to supporting concerns like alarm handling, logging, user interface, etc. These parts tend to be hard to fully reuse and implement, since they are tangled with other functionalities, and are located at many places in the program. An aspect-oriented programming (AOP) approach is proposed, to reuse and implement these concerns. AOP is an emerging programming methodology in computer science, which helps the programmer by separating crosscutting and tangled concerns in a program. The approach is focused on how to adapt the AOP methodology for PLC program development, and how it can benefit the control design process.
Face-Trait and Face-Race Cues in Adults' and Children's Social Evaluations

© 2019 Guilford Publications, Inc. Supplemental materials are available online. Parts of the data reported in this article were presented at the Biennial Conference of the Cognitive Development Society, Portland, Oregon, in October 2017. The R code and data included in this article are available at the Open Science Framework (https://osf.io/xdt7y/). We thank Benedek Kurdi and Larisa Heiphetz for comments on earlier drafts of this manuscript, and the Harvard Dean’s Competitive Fund for Promising Scholarship awarded to Mahzarin R. Banaji. The experiments in this article earned Open Materials and Open Data badges for transparent practices. Materials and data for the experiments are available at https://osf.io/xdt7y/ We thank the schools, parents, and families who participated in this research, and Wesley Cash, Maribelle Dickins, Paige Guarino, Mahima Sindhu, and Ashely Xu who assisted with data collection. Address correspondence to Tessa Charlesworth, Department of Psychology, Harvard University, 33 Kirkland St, Cambridge, MA 02138; E-mail: tet371@g.harvard. edu CHARLESWORTH AND BANAJI
High-Fat Diet Increases Amylin Accumulation in the Hippocampus and Accelerates Brain Aging in hIAPP Transgenic Mice

The accumulation of human islet amyloid polypeptide (hIAPP) in pancreatic islets under induction by a high-fat diet plays a critical role in the development of type-2 diabetes mellitus (T2DM). T2DM is a risk factor of late-onset Alzheimer’s disease (AD). Nevertheless, whether hIAPP in combination with hyperlipidemia may lead to AD-like pathological changes in the brain remains unclear. hIAPP transgenic mice were fed with a high-fat diet for 6 or 12 months to establish the T2DM model. The accumulation of amylin, the numbers of Fluoro-Jade C (FJC)-positive and β-gal positive cells, and the deposition level of Aβ42 in the hippocampi of the transgenic mice were detected by using brain sections. Cytoplasmic and membrane proteins were extracted from the hippocampi of the transgenic mice, and the ratio of membrane GLUT4 expression to cytoplasmic GLUT4 expression was measured through Western blot analysis. Changes in the cognitive functions of hIAPP transgenic mice after 12 months of feeding with a high-fat diet were evaluated. hIAPP transgenic mice fed with a high-fat diet for 6 or 12 months showed elevated blood glucose levels and insulin resistance; increased amylin accumulation, number of FJC-positive and β-gal positive cells, and Aβ42 deposition in the hippocampi; and reduced membrane GLUT4 expression levels. hIAPP transgenic mice fed with a high-fat diet for 12 months showed reductions in social cognitive ability and passive learning ability. A high-fat diet increased amylin accumulation in the hippocampi of hIAPP transgenic mice, which presented AD-like pathology and behavior characterized by neural degeneration, brain aging, Aβ42 deposition, and impaired glucose utilization and cognition.
Spelling Normalization of Historical Documents by Using a Machine Translation Approach

The lack of a spelling convention in historical documents makes their orthography to change depending on the author and the time period in which each document was written. This represents a problem for the preservation of the cultural heritage, which strives to create a digital text version of a historical document. With the aim of solving this problem, we propose three approaches—based on statistical, neural and character-based machine translation—to adapt the document’s spelling to modern standards. We tested these approaches in different scenarios, obtaining very encouraging results.
ENTREPRENEURSHIP EDUCATION AND ENTREPRENEURIAL INTENTION AMONG MOSLEM UNDERGRADUATE STUDENTS : SPIRITUAL WELL-BEING SCALING APPLICATION

The objectives of this study were to test the effectiveness of entrepreneurship education among Moslem undergraduate students, determinants of intentions, and the interactions between these variables and spirituality that determine the process. Spirituality influences student’s’ view on economic activity and interaction with their environment. The research subjects were Moslem students at the Faculty of Economics and Business of University of Indonesia that may be classified as a nascent entrepreneur: the group that is considering self-employment as a career choice. The techniques of data collection were interviews and questionnaires. The data were analyzed using a quantitative approach of Mann-Whitney U-test to test the effects of education among the groups of students who have received entrepreneurship education and groups that have not, as a control group. The results showed that (1) there are three factors that can identify entrepreneurial intentions which can be identified in detail with three indicators and (2) the effects of entrepreneurship education in shaping the entrepreneurial intentions which depends on student’s’ spirituality.
Detection of Skin Cancer using Artificial Neural Network Classifier

: Skin cancer is a harm full disease in humans. It has various types such as melanoma, basal and squamous cell carcinoma among which melanoma is the most unpredictable. It causes abnormal growth of melanocytic cells which produces sun productive pigment melanin. Due to the melanin melanoma appear as black or brown color. In this paper we present a novel approach of detection of melanoma . This melanoma detection can using medical imaging in ANN( Artificial Neural Network) method. The dermoscopy images are extracted from 2D wavelet transformation method ,then values are given to as input nodes to the neural network. It classifies the data set into cancerous or non-cancerous.
Filling the gap: improving the social and emotional competencies of pre-service teachers

Although research carried out over the last few decades into Social and Emotional Learning (SEL) has shown the benefits this can have for the well-being and success of both children and teachers, alike, little work has been done with regard to teacher training. The present study explores the impact of a pioneer training program focusing on SEL, implemented in a pre-service teacher curriculum. Through an experiential and collaborative methodology, this compulsory subject aims to develop students' emotional competencies (self-esteem, empathy, affect), as well as their social competencies (assertiveness, communicative competencies). It was conducted a quasi-experimental study with 250 students who completed several well-known scales in pre-test, post-test assessment and control groups. After controlling for personality traits, findings point to significant effects in favor of the experimental group, who increased self-esteem, empathy and confidence when speaking in public, while fear of public speaking, and negative affect was seen to decrease significantly.