Miracle-dz/UniFAR-FTUs huggingface dataset:
The discursive construction and realization of the Hong Kong brand: a corpus-informed study

Abstract Branding is essentially discursive in nature and yet discourse studies of branding are surprisingly few in number. The present study is a rare attempt to examine how branding, in particular place branding, can be conceptualized and operationalized linguistically through the investigation of a corpus of marketing texts on the official branding of Hong Kong. A quantitative analysis using corpus tools and techniques was first conducted to identify the main textual patterns based on frequency information. A qualitative analysis then followed to investigate the dominant textual patterns in context in order to uncover the branding strategies used and their associated linguistic realizations. Findings from the present study reveal that the branding discourse of Hong Kong is strongly business-oriented, largely constructed through taken-for-granted qualities, and heavily reliant on the technical branding jargon. Such findings can be directly compared with those from traditional marketing research to pinpoint any inconsistencies between official branding policies and consumers’ perceptions. This will in turn provide more concrete suggestions to help bridge the divide, if any, between brand creators, consumers and other stakeholders involved, and ultimately promote more inclusive branding for all.
Smoldyn on Graphics Processing Units: Massively Parallel Brownian Dynamics Simulations

Space is a very important aspect in the simulation of biochemical systems; recently, the need for simulation algorithms able to cope with space is becoming more and more compelling. Complex and detailed models of biochemical systems need to deal with the movement of single molecules and particles, taking into consideration localized fluctuations, transportation phenomena, and diffusion. A common drawback of spatial models lies in their complexity: models can become very large, and their simulation could be time consuming, especially if we want to capture the systems behavior in a reliable way using stochastic methods in conjunction with a high spatial resolution. In order to deliver the promise done by systems biology to be able to understand a system as whole, we need to scale up the size of models we are able to simulate, moving from sequential to parallel simulation algorithms. In this paper, we analyze Smoldyn, a widely diffused algorithm for stochastic simulation of chemical reactions with spatial resolution and single molecule detail, and we propose an alternative, innovative implementation that exploits the parallelism of Graphics Processing Units (GPUs). The implementation executes the most computational demanding steps (computation of diffusion, unimolecular, and bimolecular reaction, as well as the most common cases of molecule-surface interaction) on the GPU, computing them in parallel on each molecule of the system. The implementation offers good speed-ups and real time, high quality graphics output.
Copy Number Variant Analysis of Human Embryonic Stem Cells

Differences between individual DNA sequences provide the basis for human genetic variability. Forms of genetic variation include single‐nucleotide polymorphisms, insertions/duplications, deletions, and inversions/translocations. The genome of human embryonic stem cells (hESCs) has been characterized mainly by karyotyping and comparative genomic hybridization (CGH), techniques whose relatively low resolution at 2–10 megabases (Mb) cannot accurately determine most copy number variability, which is estimated to involve 10%–20% of the genome. In this brief technical study, we examined HSF1 and HSF6 hESCs using array‐comparative genomic hybridization (aCGH) to determine copy number variants (CNVs) as a higher‐resolution method for characterizing hESCs. Our approach used five samples for each hESC line and showed four consistent CNVs for HSF1 and five consistent CNVs for HSF6. These consistent CNVs included amplifications and deletions that ranged in size from 20 kilobases to 1.48 megabases, involved seven different chromosomes, were both shared and unique between hESCs, and were maintained during neuronal stem/progenitor cell differentiation or drug selection. Thirty HSF1 and 40 HSF6 less consistently scored but still highly significant candidate CNVs were also identified. Overall, aCGH provides a promising approach for uniquely identifying hESCs and their derivatives and highlights a potential genomic source for distinct differentiation and functional potentials that lower‐resolution karyotype and CGH techniques could miss.
‘Neighbourhood is if they come out and talk to you’: Neighbourly connections and bonding social capital

Neighbourly relations have been theorised as ‘friendly distance’ in contrast to connections which are theorised as strong or intensive ties. The article explores the neighbourly relationships between residents of a peri-urban regional area outside Sydney in Australia. Strong interview themes emerged regarding the ways in which residents who were well connected within their locality talked about their neighbours, and this was in direct contrast to those living with a chronic condition – these people expressed a lack of connection with their neighbours. The major theme, ‘not in each other’s pockets’ reflects the negotiated nature of neighbour interactions, while the theme ‘neighbourhood is if they come out and talk to you’ speaks of isolation. The interactions of neighbours may in many cases constitute bonding capital as important weak or casual ties. These may not be available to the chronically ill or socially isolated or adequate without linking and bridging capital.
Pet Bereavement Support Groups: A Guide for Mental Health Professionals

ABSTRACT Companion animals are becoming increasingly important in society. Pets have been recognized for their vast contributions to human lives, including emotional support, social support, health benefits, and connection. However, society does not recognize the significant loss associated with losing a pet, which can contribute to bereaved pet owners feeling isolation and shame as they cope with the loss of their beloved companion. Mental health professionals must be aware of this disenfranchised grief and creatively expand their services to provide support and advocacy for bereaved pet owners. This article includes a framework for clinicians to establish a pet loss support group in their community.
Understanding the factors that determine workplace coaching effectiveness: a systematic literature review

ABSTRACT Meta-analytic results have established that workplace coaching is effective, however, little is known about the determinants of coaching effectiveness. This paper reports an inclusive systematic literature review, covering the quantitative and qualitative research on workplace coaching. We focus on seven promising areas in the current workplace coaching literature that emerged by the synthesis of 117 empirical studies: self-efficacy, coaching motivation, goal orientation, trust, interpersonal attraction, feedback intervention, and supervisory support. The major contribution of our paper is the systematic integration of well-established theoretical constructs in the workplace coaching context and the new insights we provide in the synthesis of these literatures. Based on our review, we provide specific recommendations to be addressed in future research, including recommended research methodologies, which we propose will significantly progress the field of workplace coaching theory and practice.
The effect of normal aging on the social perception of faces

Typical aging is associated with declined cognitive functions and neural deterioration. This thesis investigates the effect of normal aging on social perception of facial emotion and facial identity. Firstly, this thesis examines older adults’ ability to perceive facial emotions and facial identities with subtle changes using behavioural investigations. It is revealed that normal aging is linked with declined ability to make fine-grained judgements in the perception of facial emotion (anger and happiness) and facial identity (upright- and inverted-), but not for facial traits judgement. In addition, the relationship between age and each face perceptual performance were explored using regression model fitting. Additionally, this thesis further examines whether typical aging is associated with the perception of subtle changes in facial emotion and facial identity with older adult faces, and whether the age- related facial identity perceptual decline is a face-specific decline or it extends to non-social perception. I developed novel tasks that permitted the ability to assess facial emotion (happiness perception), facial identity, and non-social perception (object perception) across similar task parameters. It is observed that older adults have decreased ability to make fine- grained judgements in the perception of happiness and facial identity (from older adult faces), but not for non-social object perception. These behavioural findings are discussed with theories within the current literature. This thesis also explored the neural mechanisms underlying social perception in older adults using non-invasive high-frequency transcranial random-noise stimulation (tRNS) and electroencephalogram (EEG). The results revealed that stimulating inferior frontal cortex facilitates older adults’ anger perception, especially low- performing older adults. The event-related potentials (ERPs) results have shown that older participants exhibited neural overactivation in the left frontal and centromedial region (100- 200ms stimuli onset) and frontal region (250-850ms stimuli onset) during emotion perception. These findings are discussed in the context of existing literature on normal aging and social perception.
Using Non-redundant Mutation Operators and Test Suite Prioritization to Achieve Efficient and Scalable Mutation Analysis

Mutation analysis is a powerful and unbiased technique to assess the quality of input values and test oracles. However, its application domain is still limited due to the fact that it is a time consuming and computationally expensive method, especially when used with large and complex software systems. Addressing these challenges, this paper makes several contributions to significantly improve the efficiency of mutation analysis. First, it investigates the decrease in generated mutants by applying a reduced, yet sufficient, set of mutants for replacing conditional (COR) and relational (ROR) operators. The analysis of ten real-world applications, with 400,000 lines of code and more than 550,000 generated mutants in total, reveals a reduction in the number of mutants created of up to 37% and more than 25% on average. Yet, since the isolated use of non-redundant mutation operators does not ensure that mutation analysis is efficient and scalable, this paper also presents and experimentally evaluates an optimized workflow that exploits the redundancies and runtime differences of test cases to reorder and split the corresponding test suite. Using the same ten open-source applications, an empirical study convincingly demonstrates that the combination of non-redundant operators and prioritization leveraging information about the runtime and mutation coverage of tests reduces the total cost of mutation analysis further by as much as 65%.
Comparing Live and Recorded Music and the Changes of Mood and Self-Perception for Elderly Older Adults.

ii Acknowledgments. iii Vita . iv List of Tables . vi List of Charts.vii Chapter 1: INTRODUCTION. 1 Chapter 2: REVIEW OF THE LITERATURE . 3 Chapter 3: METHODS . 5 Chapter 4: RESULTS . 8 Chapter 5: DISCUSSION . 11 References . 13 Appendix A: Demographics Survey . 16
An Analysis of Several Heuristics for the Traveling Salesman Problem

Several polynomial time algorithms finding “good,” but not necessarily optimal, tours for the traveling salesman problem are considered. We measure the closeness of a tour by the ratio of the obtained tour length to the minimal tour length. For the nearest neighbor method, we show the ratio is bounded above by a logarithmic function of the number of nodes. We also provide a logarithmic lower bound on the worst case. A class of approximation methods we call insertion methods are studied, and these are also shown to have a logarithmic upper bound. For two specific insertion methods, which we call nearest insertion and cheapest insertion, the ratio is shown to have a constant upper bound of 2, and examples are provided that come arbitrarily close to this upper bound. It is also shown that for any n≥8, there are traveling salesman problems with n nodes having tours which cannot be improved by making n/4 edge changes, but for which the ratio is 2(1−1/n).
APPROXIMABILITY OF THE DISCRETE FRÉCHET

5 The Fréchet distance is a popular and widespread distance measure for point sequences and for curves. 6 About two years ago, Agarwal et al. [SIAM J. Comput. 2014] presented a new (mildly) subquadratic 7 algorithm for the discrete version of the problem. This spawned a flurry of activity that has led to several 8 new algorithms and lower bounds. 9 In this paper, we study the approximability of the discrete Fréchet distance. Building on a recent 10 result by Bringmann [FOCS 2014], we present a new conditional lower bound showing that strongly 11 subquadratic algorithms for the discrete Fréchet distance are unlikely to exist, even in the one-dimensional 12 case and even if the solution may be approximated up to a factor of 1.399. 13 This raises the question of how well we can approximate the Fréchet distance (of two given d14 dimensional point sequences of length n) in strongly subquadratic time. Previously, no general results 15 were known. We present the first such algorithm by analysing the approximation ratio of a simple, 16 linear-time greedy algorithm to be 2. Moreover, we design an α-approximation algorithm that runs 17 in time O(n logn+n/α), for any α ∈ [1, n]. Hence, an n-approximation of the Fréchet distance can be 18 computed in strongly subquadratic time, for any ε > 0. 19
Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model

With the popularity of complex hydrologic models, the time taken to run these models is increasing substantially. Comparing and evaluating the efficacy of different optimization algorithms for calibrating computationally intensive hydrologic models is becoming a nontrivial issue. In this study, five global optimization algorithms (genetic algorithms, shuffled complex evolution, particle swarm optimization, differential evolution, and artificial immune system) were tested for automatic parameter calibration of a complex hydrologic model, Soil and Water Assessment Tool (SWAT), in four watersheds. The results show that genetic algorithms (GA) outperform the other four algorithms given model evaluation numbers larger than 2000, while particle swarm optimization (PSO) can obtain better parameter solutions than other algorithms given fewer number of model runs (less than 2000). Given limited computational time, the PSO algorithm is preferred, while GA should be chosen given plenty of computational resources. When applying GA and PSO for parameter optimization of SWAT, small population size should be chosen. Copyright © 2008 John Wiley & Sons, Ltd.
Motivational orientations of college band students: A cross-cultural examination of a collective 2 x 2 achievement goal model

The purpose of this study was to determine the cross-cultural validity of a collective achievement goal model using a sample of non-music-major college band students from the US and Singapore. The study was situated within a theoretical framework that posited individual and collective achievement goal orientations of mastery-approach, mastery-avoidance, performance-approach, and performance-avoidance. These constructs were also examined in relation to three adaptive learning outcomes: flow, grit, and commitment to band. Confirmatory factor analyses indicated that whether considering the US, the Singapore, or the entire sample, the collective 2 × 2 achievement goal framework yielded a superior fit to the data when compared with four competing dichotomous and trichotomous models. Model invariance testing found that although the collective 2 × 2 achievement goal model appears to fit fairly well to the data from both groups of participants, cross-cultural model invariance can only be claimed conditionally. Hierarchical regression indicated that independent of any variation already explained by achievement goal sub-scales from the individual perspective, scales from the collective perspective explained a small but significant increase in variance for flow.
Neuroprotective Effects of SKF 10,047 in Cultured Rat Cerebellar Neurons and in Gerbil Global Brain Ischemia

Background and Purpose Excitatory amino acids and their receptors are involved in mediating ischemic neuronal damage. The σ-agonists are believed to interact with the N-methyl-D-aspartate receptor. Therefore, we studied the neuroprotective, hypothermic, and motor deficit effects of the σ-agonist SKF 10,047 and the N-methyl-D-aspartate antagonist MK-801. Methods Neuroprotective effects were compared using an in vitro ischemia model of cultured rat cerebellar granule cells and the gerbil model of global brain ischemia induced by 5 minutes of bilateral carotid artery occlusion followed by 7 days of reperfusion. Results In vitro, (+)MK-801 protected against 100 μM glutamate with a 50% protective concentration of 30 nM, followed by (−)MK-801 (150 nM), cyclazocine (0.5 μM), (+)SKF 10,047 (3.3 μM), pentazocine (5 μM), and (−)SKF 10,047 (10 μM). In vivo, (+)SKF 10,047 pretreatment (60 ing/kg) or multiple postischemic treatments provided neuroprotection comparable with MK-801 pretreatment (10 mg/kg). When ischemic animals were administered the multiple dosing regimen of (+)SKF 10,047, no hypothermic effect was noted in the temporalis muscle over 4 hours' postischemia. Motor deficits monitored by a swing grid test showed that 50% recovery from (+)SKF 10,047 was 5.5 times faster than recovery from MK-801. Conclusions These results are the first to report a hypothermia-free, in vivo neuroprotective effect of (+)SKF 10,047, a prototypical drug of the σ-agonist class.
Is narrative an endangered species in schools’? Secondary pupils’ understanding of ‘storyknowing’

This paper argues that narrative knowledge (or ‘storyknowing’) is marginalized within the English school system, because it is misunderstood and often not recognized as knowledge. We track the changing status of storytelling through some key moments in recent educational history, particularly focusing on its gradual erosion during the progressive era, the onset of the National Curriculum (despite the impact of the National Oracy Project), and the post-2000 period with its conflicting drives towards compliance and creativity. To understand the consequences of this marginalization, we build up a picture of the value of narrative knowledge, drawing firstly on the body of theorists who have investigated narrative. We then look to our long-term practice research with three groups of ‘low-ability’ 11–14-year-old pupils, in particular their own observations on storytelling made during a focus group. Both sources lead us to challenge the currently dominant perception that pupils listening to a whole narrative are in a passive role. Indeed, we provide evidence that reasserting the value of storyknowing may restore aspects of agency, autonomy and knowledge creation to both teachers and pupils which may not be afforded by overtly ‘active’ learning strategies. We conclude by considering the conditions in which storyknowing, as characterized by the pupils and theorists, might flourish within schools.
Psychological predictors of engagement in music piracy

ABSTRACT The digital revolution has changed how consumers engage with music. The present study explored the potential psychological factors underpinning why many consumers engage in music piracy. 396 participants (71.00% female, Mage = 34.53) completed an online questionnaire. Preference for accessing music digitally was associated with more favourable attitudes towards music piracy, as was being male, and expressing low levels of conscientiousness. Concerning the uses and gratifications of using different formats to engage with music, music piracy was found to be a financially viable way of listening to music. Discussion focuses on the notion that recorded music is perceived as poor value for money, and this is considered distinct from the widespread perception that piracy is simply about getting free music.
Saccades Improve Postural Control: A Developmental Study in Normal Children

Introduction Dual-task performance is known to affect postural stability in children. This study focused on the effect of oculomotor tasks like saccadic eye movements on postural stability, studied in a large population of children by recording simultaneously their eye movements and posture. Materials and Methods Ninety-five healthy children from 5.8 to 17.6 years old were examined. All children were free of any vestibular, neurological, ophtalmologic and orthoptic abnormalities. Postural control was measured with a force platform TechnoConcept®, and eye movements with video oculography (MobilEBT®). Children performed two oculomotor tasks: fixation of a stable central target and horizontal saccades. We measured the saccade latency and the number of saccades during fixation as well as the surface, length and mean velocity of the center of pressure. Results During postural measurement, we observed a correlation between the age on the one hand and a decrease in saccade latency as well as an improvement in the quality of fixation on the other. Postural sway decreases with age and is reduced in the dual task (saccades) in comparison with a simple task of fixation. Discussion - Conclusion These results suggest a maturation of neural circuits controlling posture and eye movements during childhood. This study also shows the presence of an interaction between the oculomotor system and the postural system. Engaging in oculomotor tasks results in a reduction of postural sway.
Employee Emotional Intelligence and Employee Performance in the Higher Education Institutions in Saudi Arabia : A Proposed Theoretical Framework

In the field of employment, pressures of work, employees’ stress, anxiety, agitation, irritability, or depression are all related to the different dimensions of emotional intelligence, which is well known as EI. All these emotional symptoms could affect employees’ performance. Emotions have an impact on everything that employees do. They can lead either a higher or lower morale, which will impact the employees’ performance positively or negatively. This concept paper sheds light on the definition and measurement of emotional intelligence, the different dimensions of EI, and the impact of EI on employees’ performance. It also highlights the definition of job performance, the purpose of performance appraisal, the performance appraisal methods, and the measurement for employee performance. Finally, this concept paper proposes a theoretical framework that can be used by the higher education institutions in the Kindgom of Saudi Arabia.