The Rise and Fall of Popular Australian Lawn Bowls 1864–2021

Lawn bowls is one of the oldest formally established British sports in Australia. This paper provides an overview of the place of lawn bowls in Australian history and society from 1864 to 2021 through four eras: British nationalism (1864–1900); middle class sport (1900–1945); leading seniors sport (1945–1990); and decline (1990–2021). The four eras cover the span of Australian lawn bowls and are based on historical data from both primary and secondary sources tracing its rise and decline. The decline in lawn bowls has been a combination of both internal and external factors. This paper is not a purely chronological account of lawn bowls, but rather provides a framework to better understand the place and role of the sport in Australian culture and society. The origins of lawn bowls in Australia are directly linked to the cultural heritage that stemmed from British settlement. Lawn bowls provides a vehicle to develop insight and understanding into several past, current, and future social and cultural issues including seniors sport, sport participation rates, gender relations, nationalism, class structures, urbanisation, and the development of contemporary cities.

Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction

Traffic flow prediction is the upstream problem of path planning, intelligent transportation system, and other tasks. Many studies have been carried out on the traffic flow prediction of the spatio-temporal network, but the effects of spatio-temporal flexibility (historical data of the same type of time intervals in the same location will change flexibly) and spatio-temporal correlation (different road conditions have different effects at different times) have not been considered at the same time. We propose the Deep Spatio-temporal Adaptive 3D Convolution Neural Network (ST-A3DNet), which is a new scheme to solve both spatio-temporal correlation and flexibility, and consider spatio-temporal complexity (complex external factors, such as weather and holidays). Different from other traffic forecasting models, ST-A3DNet captures the spatio-temporal relationship at the same time through the Adaptive 3D convolution module, assigns different weights flexibly according to the influence of historical data, and obtains the impact of external factors on the flow through the ex-mask module. Considering the holidays and weather conditions, we train our model for experiments in Xi’an and Chengdu. We evaluate the ST-A3DNet and the results show that we have better results than the other 11 baselines.

Modelling (Social) Intra/Entrepreneurship Process

This study had three objectives: to discover the main concepts and theories used in research around entrepreneurship; systematize the entrepreneurial process in a model that allows teaching it more efficiently, and substantiate the model by applying it to various social entrepreneurship projects. To this end, a systematic scoping review was carried out to identify the main concepts, theories, and processes, which constitute the six crucial building blocks to someone could be successful as a(n) (social) intra/entrepreneur. Then, a design-science approach led us to use real social innovation and social entrepreneurship cases to evaluate the constructs and the model. Consequently, it is concluded that all concepts, theories and models identified can be classified as external factors (Context and Resources), internal factors (Objectives and entrepreneurial Will) and achievements (Action and Impact). The CROWAI model fits well with the data obtained on 465 innovation and social entrepreneurship projects. Thus, this model presents a more comprehensive approach, applicable to all profitable or social intra/entrepreneurship situations, allowing this new conceptual arrangement to be more easily taught. Additionally, it makes sense to use the term ‘social’ in innovation and intra/entrepreneurship because it has excellent defining power of the scope one wants to achieve with human endeavours. Doi: 10.28991/ESJ-2022-06-01-02 Full Text: PDF

The Impact of Mouthwash on the Oropharyngeal Microbiota of Men Who Have Sex with Men: a Substudy of the OMEGA Trial

Given the role of the oral microbiota in human health, it is important to understand if and how external factors influence its composition. Mouthwash use is common in some populations, and the use of antiseptic mouthwash has been proposed as an alternative intervention to prevent gonorrhea transmission.

Sports Education in Senior High Schools: Analysis of Educational Technology Learning (ETL) During Covid-19

The purpose of the study. to analyze the factors that affect the learning outcomes of Physical Education, Sports, and Health of class XI students at Senior High School. there are three factors that can affect the learning outcomes of Physical Education, Sports and Health, namely factors contained within students (internal factors), factors that come from outside (external factors) and factors from the learning approach of the students themselves. Materials and methods. The population of this research is class XI State Senior High School. Qualitative descriptive analysis study using data collection techniques and instruments, namely documentation techniques and questionnaire techniques with randomly selected samples. Results. Based on the research results, internal and external factors often affect the learning outcomes of Physical Education, Sports and Health. Conclusions. internal and external factors often affect learning outcomes in Physical Education, Sports and Health. Likewise, the learning approach factors classified as sometimes affect the learning outcomes of Physical Education, Sports and Health.

Analysis of Factors Affecting the Behavior of Coffee Shop Consumers in Jambi City

This study aims to analyze the factors that affect the behavior of coffee shop consumers in Jambi City. This research was conducted at a coffee shop in Jambi City. The selection of the location of this study was carried out by purposive sampling method. The data analysis used is primary data with the Structural Equation Partial Least Square Model (SEM-PLS) approach. The results showed the behavior of coffee shop consumers most who visited the coffee shop expressed agreement with the choice and decision in behaving. As many as 57.5% of consumers revealed that they chose the coffee shop because the price offered is affordable, coffee served quality, and it has a good taste, and 55% stated that they buy coffee in the coffee shop because according to their consumption needs, the coffee sold has a strong freshness, and has many flavor variants. Internal factors negatively affect the behavior of coffee shop consumers but not significantly. External factors have a positive effect on consumer behavior. Internal factors and external factors with variable moderation of coffee shop variables have a significant effect on consumer behavior.

An integrated SWOT-AHP-fuzzy TOPSIS approach for maturity management following the COVID-19 outbreak: lessons learned from fast fashion

Purpose Focussing on issues that have impacted textiles, clothing and fast fashion following the COVID-19 outbreak, this study aims to identify agility factors pertinent to retail maturity management, mainly on resilience. These factors were then assessed based on priority. Design/methodology/approach The authors conducted a strengths, weaknesses, opportunities and threats (SWOT) analysis to identify the main factors. This analysis was integrated with the analytic hierarchy process to rank the internal and external factors. Then, the authors used fuzzy technique for order of preference by similarity to the ideal solution to evaluate the significant strategies from the SWOT analysis based on adaptability and flexibility. Thus, the authors produced a prioritised list of relevant factors and guidelines useful in practical settings. Findings The authors identified and ranked 14 agility and resilience SWOT factors for maturity management and proposed and prioritised six relevant strategies. These highlighted changes and adaptations must be undertaken by various actors, ranging from the supply/manufacturing side to global retail locations. Research limitations/implications The sampling study of experts is limited, and the application is focussed on one area. Future research might investigate other fields, for retail and industry. Practical implications The output of this study enables a better understanding of the internal and external factors of maturity management for fast-fashion retailers. Hence, it will further help them go through resilience and agility challenges following the pandemic. Originality/value This study significantly contributes to the literature because the results can guide retailers in developing effective decision-making systems for mature business operations following the pandemic outbreak. Here, the authors incorporate internal, external, agility and resilience aspects into one decision-making support system while enhancing existing knowledge on fuzzy multi-criteria decision-making applications. Further, this study discusses critical issues that have affected several aspects of the fashion and textile industry and will likely persist for some time.