Taking the pulse of a new football franchise\u27: Team identification and the Melbourne Heart FC in Australia\u27s A-League

In a bid to revive soccer’s fortunes in Australia, the A-League was created whereby private franchises represented the country’s major cities. This article examines the Melbourne Heart FC and the emotional attachment of members during its first two seasons. A survey methodology was used to identify attitudes towards the brand and the Sport Spectator Identification Scale (SSIS) measured their identification with the franchise. There is conclusive evidence that strong levels of identification can develop quickly for a new team, yet three of the scale’s items made a weaker contribution. There is also a suggestion that identity is multi-layered. New sport teams need to build awareness and a fan base, however, while the SSIS has been used extensively to study established teams, its application to a newly-formed football club is less common. This article discusses how members of a new franchise in Australia’s A-League quickly developed a strong emotional attachment

Numerical analysis of second harmonic generation in soft glass equiangular spiral photonic crystal fibers

In this paper, the accurate and numerically efficient finite element (FE)-based beam propagation method (BPM) has been employed to investigate second harmonic generation (SHG) in highly nonlinear soft glass (SF57) equiangular spiral photonic crystal fibers (ES-PCFs) for the first time. It is shown here that the SHG output power in highly nonlinear SF57 soft glass PCF exploiting the ES design is significantly higher compared with that of silica PCF with hexagonal air-hole arrangements. The effects of fabrication tolerances on the coherence length and the modal properties of ES-PCF are also illustrated. Moreover, phase matching between the fundamental and the second harmonic modes is discussed through the use of the quasi-phase matching technique. Furthermore, the ultralow bending loss in the SF57 ES-PCF design has been successfully analyzed

Factors affecting the Gender- based Consumer purchase intention towards Ethical Fashion (A case study on undergraduates of the University of Sri Jayewardenepura)

The study examines the factors affecting the gender-based consumer purchase intention towards ethical fashion in Sri Lanka. Primary data was gathered using self-administrated questionnaire through online platform and physically. Sample of the study was selected using stratified and simple random sampling techniques through undergraduates from three selected faculties of the University of Sri Jayewardenepura. Sample size of the study was 371 respondents including 228 female and 143 male undergraduates. Both descriptive analysis and Structural Equation Modelling (SEM) method were applied for the quantitative data. Findings of the study revealed that both the female and male consumers have an identical level of awareness regarding the ethical fashion market and related scopes. The respondents of the study have a positive impression on ethical fashion concept, and they believe that the concept itself is necessary for the betterment of the society and environment. Attitudes and beliefs regarding ethical fashion and subjective norms were identified as the major factors which affect the purchase intention towards ethical fashion among the consumers. Furthermore, it was found that gender doesn’t have any moderate effect in determining the consumers’ purchase intention towards ethical fashion in the young adult consumers in Sri Lanka. Findings of the study suggested that the fashion industry should implement new methods to motivate the purchasing intention of young customers. Also, such methods should promote the core values of ethical fashion concept as most of the consumers are not aware about those and for the expansion of the ethical fashion industry.  DOI: http://doi.org/10.31357/fhss/vjhss.v08i02.1

Rigorous Full-Vectorial Beam Propagation Analysis of Second-Harmonic Generation in Zinc Oxide Waveguides

In this paper, a rigorous full-vectorial finite-element (FE)-based beam propagation method (BPM) has been implemented to study second-harmonic generation (SHG) in planar zinc oxide (ZnO) waveguides for the first time. It is shown here that the SHG output power is significantly improved when the waveguide structure is optimized. Furthermore, phase matching between the fundamental and second-harmonic modes, through the use of the quasi-phase matching technique, is discussed

Repurposing emoji for personalised communication::Why [pizza slice] means “I love you”

The use of emoji in digital communication can convey a wealth of emotions and concepts that otherwise would take many words to express. Emoji have become a popular form of communication, with researchers claiming emoji represent a type of “ubiquitous language” that can span different languages. In this paper however, we explore how emoji are also used in highly personalised and purposefully secretive ways. We show that emoji are repurposed for something other than their “intended” use between close partners, family members and friends. We present the range of reasons why certain emoji get chosen, including the concept of “emoji affordance” and explore why repurposing occurs. Normally used for speed, some emoji are instead used to convey intimate and personal sentiments that, for many reasons, their users cannot express in words. We discuss how this form of repurposing must be considered in tasks such as emoji-based sentiment analysis

Temporal Progression Patterns of Brain Atrophy in Corticobasal Syndrome and Progressive Supranuclear Palsy Revealed by Subtype and Stage Inference (SuStaIn)

Differentiating corticobasal degeneration presenting with corticobasal syndrome (CBD-CBS) from progressive supranuclear palsy with Richardson's syndrome (PSP-RS), particularly in early stages, is often challenging because the neurodegenerative conditions closely overlap in terms of clinical presentation and pathology. Although volumetry using brain magnetic resonance imaging (MRI) has been studied in patients with CBS and PSP-RS, studies assessing the progression of brain atrophy are limited. Therefore, we aimed to reveal the difference in the temporal progression patterns of brain atrophy between patients with CBS and those with PSP-RS purely based on cross-sectional data using Subtype and Stage Inference (SuStaIn)—a novel, unsupervised machine learning technique that integrates clustering and disease progression modeling. We applied SuStaIn to the cross-sectional regional brain volumes of 25 patients with CBS, 39 patients with typical PSP-RS, and 50 healthy controls to estimate the two disease subtypes and trajectories of CBS and PSP-RS, which have distinct atrophy patterns. The progression model and classification accuracy of CBS and PSP-RS were compared with those of previous studies to evaluate the performance of SuStaIn. SuStaIn identified distinct temporal progression patterns of brain atrophy for CBS and PSP-RS, which were largely consistent with previous evidence, with high reproducibility (99.7%) under cross-validation. We classified these diseases with high accuracy (0.875) and sensitivity (0.680 and 1.000, respectively) based on cross-sectional structural brain MRI data; the accuracy was higher than that reported in previous studies. Moreover, SuStaIn stage correctly reflected disease severity without the label of disease stage, such as disease duration. Furthermore, SuStaIn also showed the genialized performance of differentiation and reflection for CBS and PSP-RS. Thus, SuStaIn has potential for improving our understanding of disease mechanisms, accurately stratifying patients, and providing prognoses for patients with CBS and PSP-RS

Present status of the seine fishery in Negombo lagoon of Sri Lanka

Studies on the seine fishery of Negombo Lagoon in the west coast ofSri Lanka (7°10' Nand 79°50' E) were carried out for a period of one yearfrom May 1989 to April 1990. In the operation of this gear, 2 or 4 standardnets, each with a length of 32 m are used. Each net was made up of 4 or 5vertically joined pieces of nets, with a stretched mesh size of 1.25 em. 3 and 5men are involved in 2 net and 4 net operations respectively. Total productionfrom this gear was estimated to be around 36,000 kg/year. During the presentstudy, 82 species of fish ranging in size from 2.5 em to 130.0 em were encounteredtogether with 6 species of commercially important penaeid prawns. Thecatch and fishing effort were low from August to December. Catch per uniteffort was high from February to May. Salinity and fish catch showed asignificant positive correlation probably due to immigration of allochthonousmarine organisms into the lagoon with increasing salinity. Fishing effortalso showed a significant positive correlation with salinity. Significant differencebetween the catches of 4 net-piece and 5 net-piece nets was not observed(P>0.05). Although the catch and catch per fisherman were significantly higherin 4 net operations than in 2 net operations (P <0.05), significant differencein catch per net between the two operations was not observed (P > 0.05). 2 Netoperations were observed to provide more employment opportunities andbetter distribution of income than 4 net operations. Threat of overexploitationof the resource was observed to be high in 4 net operations

Impurity-assisted tunneling in graphene

The electric conductance of a strip of undoped graphene increases in the presence of a disorder potential, which is smooth on atomic scales. The phenomenon is attributed to impurity-assisted resonant tunneling of massless Dirac fermions. Employing the transfer matrix approach we demonstrate the resonant character of the conductivity enhancement in the presence of a single impurity. We also calculate the two-terminal conductivity for the model with one-dimensional fluctuations of disorder potential by a mapping onto a problem of Anderson localization.Comment: 6 pages, 3 figures, final version, typos corrected, references adde

COVID-19 deaths in people with intellectual disability in the UK and Ireland: descriptive study.

BACKGROUND: Rapid spread of coronavirus disease 2019 (COVID-19) has affected people with intellectual disability disproportionately. Existing data does not provide enough information to understand factors associated with increased deaths in those with intellectual disability. Establishing who is at high risk is important in developing prevention strategies, given risk factors or comorbidities in people with intellectual disability may be different to those in the general population. AIMS: To identify comorbidities, demographic and clinical factors of those individuals with intellectual disability who have died from COVID-19. METHOD: An observational descriptive case series looking at deaths because of COVID-19 in people with intellectual disability was conducted. Along with established risk factors observed in the general population, possible specific risk factors and comorbidities in people with intellectual disability for deaths related to COVID-19 were examined. Comparisons between mild and moderate-to-profound intellectual disability subcohorts were undertaken. RESULTS: Data on 66 deaths in individuals with intellectual disability were analysed. This group was younger (mean age 64 years) compared with the age of death in the general population because of COVID-19. High rates of moderate-to-profound intellectual disability (n = 43), epilepsy (n = 29), mental illness (n = 29), dysphagia (n = 23), Down syndrome (n = 20) and dementia (n = 15) were observed. CONCLUSIONS: This is the first study exploring associations between possible risk factors and comorbidities found in COVID-19 deaths in people with intellectual disability. Our data provides insight into possible factors for deaths in people with intellectual disability. Some of the factors varied between the mild and moderate-to-profound intellectual disability groups. This highlights an urgent need for further systemic inquiry and study of the possible cumulative impact of these factors and comorbidities given the possibility of COVID-19 resurgence