Miracle-dz/UniFAR-FTUs huggingface dataset:
The theory of planned behaviour applied to young people's use of social networking websites

Despite the increasing popularity of social networking websites (SNWs), very little is known about the psychosocial variables which predict people’s use of these websites. The present study used an extended model of the theory of planned behaviour (TPB), including the additional variables of self-identity and belongingness, to predict high level SNW use intentions and behaviour in a sample of young people aged between 17 and 24 years. Additional analayses examined the impact of self-identity and belongingness on young people’s addictive tendencies towards SNWs. University students (N = 233) completed measures of the standard TPB constructs (attitude, subjective norm and perceived behavioural control), the additional predictor variables (self-identity and belongingness), demographic variables (age, gender, and past behaviour) and addictive tendencies. One week later, they reported their engagement in high level SNW use during the previous week. Regression analyses partially supported the TPB, as attitude and subjective norm signficantly predicted intentions to engage in high level SNW use with intention signficantly predicting behaviour. Self-identity, but not belongingness, signficantly contributed to the prediction of intention, and, unexpectedly, behaviour. Past behaviour also signficantly predicted intention and behaviour. Self-identity and belongingness signficantly predicted addictive tendencies toward SNWs. Overall, the present study revealed that high level SNW use is influenced by attitudinal, normative, and self-identity factors, findings which can be used to inform strategies that aim to modify young people’s high levels of use or addictive tendencies for SNWs.
A yeast model of Bloom's syndrome.

Bloom's syndrome (BS) is a rare inherited disorder associated with growth retardation, immunodeficiency and a predisposition to cancers of all types. At a cellular level BS is associated with marked chromosomal instability, as manifest by interchanges between homologous chromosomes and sister chromatids. BS arises as a consequence of defects in a DNA helicase, BLM, which is a member of the RecQ family of helicases. Defects in other RecQ family helicases, derived from prokaryotic and lower eukaryotic cells, also result in a loss of genomic integrity. This suggests that this group of helicase subfamily share a degree of functional conservation. In this thesis, the validity of using the budding yeast, S.cerevisiae, as a model system for BS has been assessed. In this organism, the structural homologue of the BLM protein is Sgslp. Deletion of Sgslp is associated with mitotic hyperrecombination and defective chromosome segregation. Deletion of SGSl also suppresses the slow growth and hyperrecombination phenotype of top3 mutants, which are defective in topoisomerase III. Ectopic expression of a wild type SGSl gene in sgslAtopSA mutants reinduced the slow growth defect, and this effect was reproduced when the human BLM gene was expressed. This result suggested firstly, that the yeast and human proteins share functional similarities and secondly, that the interaction between the RecQ family helicases and topoisomerase m is highly conserved. On this basis, the remainder of this thesis focussed upon the role of topoisomerase HI. Deletion of the S.cerevisiae TOPS gene leads to a slow growth phenotype accompanied by an accumulation of cells with a late S/G2 content of DNA. topSA mutants exhibit a RAD24/RAD9-doponà&al delay in the G2 phase, suggesting a role for topoisomerase m in the resolution of abnormal DNA structures/damage arising during S-phase. Consistent with this notion, topSA strains are defective in the intra-S-phase checkpoint that slows the rate of S-phase progression following exposure to DNA damaging agents and are sensitive to killing by a variety of DNA damaging agents, including ultra-violet light, yrays and the alkylating agent MMS. This S-phase checkpoint defect was not associated with a failure to induce expression of DNA damage response genes. Consistent with an S-phase specific role for topoisomerase HI, expression of the TOPS mRNA is activated in the late G1 phase, and DNA damage checkpoints operating outside of S-phase are unaffected by deletion of TOPS. All of the phenotypic consequences of loss of topoisomerase m function were suppressed by deletion of SGSl. These data implicate topoisomerase m and, by inference, Sgslp in a checkpoint role in response to DNA damage arising during S-phase. A model to explain the role of these proteins during DNA rephcation is proposed. Chapter 3 Assessment of the ability of BLM to complement S.cerevisiae sg s lA m utants Chapter 4 An evaluation of the cell cycle defect in S.cerevisiae top3A m utants 1
Exploiting Load/Store Parallelism via Memory Dependence Prediction

Since memory reads or loads are very frequent, memory latency, that is the time it takes for memory to respond to requests can impact performance significantly. Today, reading data from main memory requires more than 100 processor cycles while in 'typical” programs about one in five instructions reads from memory. A naively built multi-GHz processor that executes instructions in-order would thus have to spent most of its time simply waiting for memory to respond to requests. The overall performance of such a processor would not be noticeably better than that of a processor that operated with a much slower clock (in the order of a few hundred MhZ). Clearly, increasing processor speeds alone without at the same time finding a way to make memories respond faster makes no sense. The memory latency problem can be attacked directly by reducing the time it takes memory to respond to read requests. Because it is practically impossible to build a large, fast and cost effective memory, it is impossible to make memory respond fast to all requests. However, it is possible to make memory respond faster to some requests. The more requests it can process faster, the higher the overall performance. This is the goal of traditional memory hierarchies where a collection of faster but smaller memory devices, commonly referred to as caches, is used to provide faster access to a dynamically changing subset of memory data. Given the limited size of caches and imperfections in the caching policies, memory hierarchies provide only a partial solution to the memory latency problem. Figure 0.1 parts (a) through (c) illustrate how memory latency impacts performance and how reducing it as do caches reduces execution time.
Towards Reliable Cloud Systems

TOWARDS RELIABLE CLOUD SYSTEMS Thanh D. Do Although providing tremendous access to data and computing power of thousands of commodity servers, large-scale cloud systems must address a new challenge: they must detect and recover from a growing number of failures, in both hardware and software components. The growing complexity of technology scaling, manufacturing, design logic, usage, and operating environment increases the occurrence of failures. Bits, sectors, disks, machines, racks, and many other components fail; worse, they fail differently (e.g., stop, corrupt, and limp). Moreover, it is not rare for today’s cloud systems to see a series of multiple failures, i.e., recovery itself can see another failure. Unfortunately, failure handling has proven to be problematic in today’s cloud systems. The failure recovery path is often complex, under-specified, and tested less frequently than the normal path. As indicated by recent cloud outage incidents, existing large-scale cloud systems are still fragile and error-prone [119]. Thus, today’s systems have more responsibilities: they should anticipate not only all individual failures but also rare combinations of failures. Moreover, they must efficiently handle a variety of failures such as fail-silent and performance failures. This dissertation begins with a simple question: why are today’s large-scale cloud systems not 100% reliable? We seek the answer to this vital question by making the following contributions. First, as recovery is currently under-specified, especially when handling multiple failures, we improve the state-of-the-art of cloud recovery testing by introducing a novel framework: FATE (Failure Testing Service) and DESTINI (Declarative Testing Specifications). With FATE, recovery is systematically tested in the face of multiple failures. With DESTINI, correct recovery is specified clearly, concisely, and precisely. We apply this framework to unearth failure recovery problems in three systems: HDFS, Zookeeper, and Cassandra. Second, to address the challenge of handling fail-silent behaviors caused by
CONSTRICTED PARTICLE SWARM OPTIMIZATION FOR DESIGN OF COLLINEAR ARRAY OF UNEQUAL LENGTH DIPOLE ANTENNAS

A method based on constricted Particle Swarm Optimization (CPSO) algorithm to design a non-uniformly spaced collinear array of thin dipole antennas of unequal height is proposed. This paper presents a method for computing the appropriate excitation and geometry of individual array elements to generate a pencil beam in the vertical plane with minimum Standing Wave Ratio (SWR) and fixed Side Lobe Level (SLL). Coupling effect between any two collinear centerfed thin dipole antennas having sinusoidal current distributions is analyzed using induced EMF method and minimized in terms of SWR. DRR of excitation distribution is fixed at a lower value for further mitigation of the coupling effect. Phase distribution for all the elements is kept at zero degree for broadside array. Optimization results show the effectiveness of the algorithm for the design of the array. Moreover method seems very conducive for estimating the mutual impedance between any two collinear center-fed thin dipole antennas having sinusoidal current distributions.
A Survey of Reinforcement Learning

Reinforcement Learning is an approach that an agent can learn its behaviors through trail-and-error interaction with a dynamic environment.It has been an important branch of machine learning for its self-learning and online learning capabilities.As theoretical basis,the principle and algorithm of reinforcement learning are roundly introduced.Finally,the research and development at recent years are presented.
Mentors, Self-Efficacy, or Professional Development: Which Mediate Job Satisfaction for New Teachers? A Regression Examination.

Research has shown that new teachers have struggles in the classroom, leading to high attrition rates for this population. Factors such as job satisfaction, self-efficacy, and mentorship programs have all been found to impact teacher attrition. This study aims to examine the relationship between these variables along with another common issue teachers face: barriers to professional development (i.e., cost, time). This study utilized the Teaching and Learning International Survey of beginning teachers in the United States. Using multiple regression, results indicated there was a positive relationship between job satisfaction and self-efficacy and the presence of a mentor. There was a negative relationship between barriers to professional development and job satisfaction. Limitations, implications, and areas for future research are discussed.
KOLB’S EXPERIENTIAL LEARNING AS AN EFFECTIVE LEARNING MODEL IN CREATIVE PRODUCT AND ENTREPRENEURSHIP SUBJECTS

Student learning outcomes are influenced by the ability of students to understand and the ability of teachers to deliver subject matter. In the delivery of subject matter, appropriate and effective learning models are needed to improve student understanding. This article presents an effective learning model for Creative Products and Entrepreneurship subjects in Vocational School. The aim of this subject is to form students to have the character, skills, and understanding as an entrepreneur, and to be able to bring up quality young entrepreneurs. To achieve the learning goal, learning activities must involve students directly. The experiential learning model emphasizes the role of active student experience and involvement. Through practice-based learning experiences, students feel more confident in handling jobs in real work. Learning through this model is able to facilitate students in learning so that it could improve student learning outcomes. Therefore, experiential learning is one alternative solution in the Creative Products and Entrepreneurship learning process. The research method used is a review literature by analyzing various relevant sources related to the importance of experiential learning and the challenges of its implementation. Creative Products and Entrepreneurship learning in Vocational Schools is implemented in various forms of production and business-based learning which is a real practice. Through experiential learning, it is expected that entrepreneurial learning objectives could be achieved and young entrepreneurs from Vocational Schools could increase significantly. This is in accordance with the concept of work, continuing study, and entrepreneurship for vocational high school graduates. In addition, it also supports the Entrepreneurial School program as an effort of the government to achieve the vocational high school revitalization target, while at the same time reducing the unemployment rate of vocational high school graduates.
Design and performance analysis of global path planning techniques for autonomous mobile robots in grid environments

This article presents the results of the 2-year iroboapp research project that aims at devising path planning algorithms for large grid maps with much faster execution times while tolerating very small slacks with respect to the optimal path. We investigated both exact and heuristic methods. We contributed with the design, analysis, evaluation, implementation and experimentation of several algorithms for grid map path planning for both exact and heuristic methods. We also designed an innovative algorithm called relaxed A-star that has linear complexity with relaxed constraints, which provides near-optimal solutions with an extremely reduced execution time as compared to A-star. We evaluated the performance of the different algorithms and concluded that relaxed A-star is the best path planner as it provides a good trade-off among all the metrics, but we noticed that heuristic methods have good features that can be exploited to improve the solution of the relaxed exact method. This led us to design new hybrid algorithms that combine our relaxed A-star with heuristic methods which improve the solution quality of relaxed A-star at the cost of slightly higher execution time, while remaining much faster than A* for large-scale problems. Finally, we demonstrate how to integrate the relaxed A-star algorithm in the robot operating system as a global path planner and show that it outperforms its default path planner with an execution time 38% faster on average.
“It’s not just words, it’s the feeling, the passion, the emotions”: an ethnography of affect in interpreters’ practices in contemporary Japan

Abstract This article explores the discursive mediation of affect in the professional practice of interpreting in contemporary Japan. It argues that affective practices, applied to the observation of interpreters' bodily and discursive performances, show that the fabricated distinction between reason and emotion present in the professional discourse of interpreting is misaligned with the reality of interpreters’ everyday engagement. By drawing upon affect theory and practice theory, the article offers a sensory ethnography of Japanese interpreters, showing that by negotiating their ethical position as “neutral” professionals, interpreters expertly manage affects between the parties involved in the interaction, giving a discursive, political, and cultural nature to emotions. The article shows that the reality of reason and emotion enmeshing in everyday cultural life requires the interpreter to suture the practice’s artificial division back together, using their affective professional skills of feeling with the world, which ultimately positively impact users and ensure successful communication services.
An initial population optimization-based particle swarm algorithm for anti-jamming communication decision engines

To improve the real-time performance of anti-jamming decision making, this paper proposes an initial population optimization particle swarm algorithm (IPO-PSO). This algorithm utilizes a portion of the solution from the previous decision as the initial population in the current decision; thus optimizes the adaptive quality of the initial population used for the current decision. The simulation results show that the proposed method can increase the convergence rate of the particle swarm optimization algorithm without increasing the complexity. Thus, this method provides impressive real-time performance and is ideally suited for demanding applications such as in military antijamming communications systems.
The Feasibility Study of ISM Toolbox via Matlab GUI

The interpretive structure modeling(ISM) is one of the important quantitative models in social science, especially in education. Due to the main function of interpretive structure modeling is to deal with complex issues; it not only can do hierarchical analysis in complex systems, but also clusters the system structure, which provides a method to solve the system problems. However, through the practical application in the past, we found that the calculation processes are quite boring and very complex. Therefore, the paper starts from the software engineering point of view to use Matlab to develop a GUI toolbox to help the complex calculation and simplex the analysis in system problem. Through the verification of two practical examples in social field, we can found that it has high accuracy and high convenience at the same time, which can also increase the breadth and practicality of computing field and interpretive structure modeling.
Students’ beliefs on politeness – the analysis of hedging patterns used in email correspondence

Attitudes, or a person’s internal/mental beliefs about a specific situation, object or concept can greatly influence behaviors. This truth also applies to linguistic choices made by second language students. Their low level of knowledge of cross-cultural differences as well as pragmatic competence intertwined with inner norms and attitude towards politeness can result in producing the discourse which could not be considered appropriate. The fact of using and learning a second language (being bilingual or multilingual) may influence the level of politeness. The aim of this paper is to illustrate the differences existing in the scope of politeness revealed in the written, contrastive (Polish-English) discourse. The corpus under investigation encompasses seventy six emails written in the two languages by English philology students of teachers faculty. The analysis focuses on the level of politeness as exhibited through various forms of hedges and mitigations used both in the Polish and English language.
Marital privilege: Bias against divorced patients in medical decision-making

Social support consists of the emotional, informational, and instrumental resources we receive from others, and buffers against negative health outcomes. However, as an eligibility criterion for scarce medical resources, such as organ transplants, it can be vague, subjective, and vulnerable to bias. In three studies, we examine bias associated with marital status, and assess whether those with nonspousal relationships with their caregivers (e.g., divorcees) and those without documented primary caregivers experience bias in transplant listing evaluations. We found evidence of bias against those with nonspousal relationships with their caregivers. Divorced patients were perceived as having less durable and adequate social support than those who were married to their caregivers. Divorced patients were also perceived as less deserving of a transplant and were less likely to be recommended for transplant wait-listing. Recommendations for avoiding bias in social support evaluations are discussed.
Lightweight Semantic Web Oriented Reasoning in Prolog: Tableaux Inference for Description Logics

This work presents the reconstruction of a Tableaux-based reasoner for Description Logics in Prolog. Tableaux-based reasoning is a preferred style of reasoning about Semantic Web ontologies expressed in Description Logics and OWL. We will present the traditional Tableaux algorithm for Description Logics, discuss some of its properties and investigate options for its implementation. A refined version of the algorithm is developed and a concrete implementation in Prolog, tableaux.pl , is proposed and compared to other implementations, both in terms of design and performance.
Analysis for Network Attack-Defense Based on Stochastic Game Model

Network ranges can be provided for network attack and defense experiments to simulate real network in a virtual environment,and deduct the process of network threats.This paper presents an overall framework of the network range based on security attack and defense model.In the model,the stochastic models and game model are used,and a series of security attack and defense model algorithm and the security analysis techniques are proposed.Finally,the application of network attack and defense modeling approach on a typical enterprise network attack and defense process of analysis and inference.The results show that the model and analysis approach above proposed is feasible and effective.
From Ethical to Equitable Social Media Technologies: Amplifying Underrepresented Youth Voices in Digital Technology Design

ABSTRACT Although youth of color, youth from lower socioeconomic brackets, and young women are among the heaviest users of social media technologies, their voices are almost entirely absent from current conversations about ethical design. Based on a close analysis of youth-produced technological autoethnographies, this article examines underrepresented youths’ perspectives on their own social media use, as a way to inform more ethical and equitable design of digital platforms. By surfacing the ways in which socioeconomic status, race and gender shape the social media experiences of youth from underrepresented groups, our research thus advocates for the centering of difference, not universality, in digital technology design.
Research on Compression Technology of GML-based Spatial Data

Aiming at the high cost of transmitting and preserving for redundancy GML-based spatial data,a compression method is presented.It uses VTD-XML to parse GML document and designs GBW transform which transforms tree structure of GML-based spatial data to two linear structure data.It uses GZip to compress the data and output it.Experimental result indicates it defeats common methods and can improve compression rate of GML-based spatial data efficiency while not needing more compression and de-compression time.