Future Plans Research Articles

Affective Dimensions of Compound Crises in Tourism Economies: The Intermountain Western Gateway Community of Nederland, Colorado

Affective economies align people and places according to identities and emotional capital, particularly during compound crises such as COVID-19. Through an embodied research approach, affect becomes an integral part of furthering knowledge production within crisis management to understand individual and community resilience. This research explores how affective dimensions express individual and community resilience as part of crisis and disaster management of tourism-based economies. We contribute knowledge of sustainable destination management in the context of intermountain western gateway communities (IWGCs) to center residents as primary stakeholders within conservation and resilience planning. The IWGC of Nederland, Colorado, is presented as a microcosm of change through which the lived experiences of residents during COVID-19 are analyzed. This approach embraces the potential of affective scholarship for conservation and destination planning through creative qualitative methods of inquiry. Within a crystallization methodology guided by a feminist new materialist epistemology, we incorporate residents’ creative expressions to understand how affective dynamics influenced resilience throughout compound crises. Findings are presented via three themes including affective dimensions of resilience, identity, belonging and responsibility, and affective tourism economies. Affective knowledge centering resident experiences may inform future planning for crisis and disaster management across IWGCs and other gateway communities balancing tourism, conservation, and community planning.

A call for a sociology of adaptation

A call for a sociology of adaptation

JWST MIRI and NIRCam unveil previously unseen infrared stellar populations in NGC 6822

ABSTRACT NGC 6822 is a nearby (∼490 kpc) non-interacting low-metallicity (0.2 Z⊙) dwarf galaxy which hosts several prominent H ii regions, including sites of highly embedded active star formation. In this work, we present an imaging survey of NGC 6822 conducted with the Near Infrared Camera (NIRCam) and Mid-Infrared Instrument (MIRI) onboard JWST. We describe the data reduction, source extraction, and stellar population identifications from combined near- and mid-infrared (IR) photometry. Our NIRCam observations reach 7 mag deeper than previous JHKs surveys of this galaxy, which were sensitive to just below the tip of the red giant branch (TRGB). These JWST observations thus reveal for the first time in the near-IR the red clump stellar population and extend nearly 3 mag deeper. In the mid-IR, we observe roughly 2 mag below the TRGB with the MIRI F770W and F1000W filters. With these improvements in sensitivity, we produce a catalogue of ∼900 000 point sources over an area of ∼6.0 × 4.3 arcmin2. We present several NIRCam and MIRI colour–magnitude diagrams and discuss which colour combinations provide useful separations of various stellar populations to aid in future JWST observation planning. Finally, we find populations of carbon- and oxygen-rich asymptotic giant branch stars which will assist in improving our understanding of dust production in low-metallicity, early Universe analogue galaxies.

Sustainability in Action: Green Infrastructure as a Marker of Sustainable Urban Development

The current form and pace of urbanization is an ongoing threat to sustainable urban development. As these problems span social, environmental, and economic realms, it is imperative that any proposed solution is able to address these problems holistically. Although a number of silver-bullet solutions such as electric vehicle adoption have been introduced, they do not respond to the problems with an integrated approach. Tackling this problem will require a solution that can be changed and applied on a case-by-case basis. Therefore, the development of green infrastructure is the most efficient solution when responding to the problems threatening urban sustainability. The purpose of this paper is to argue for the efficacy of green infrastructure methods by analyzing the evidence provided about factors like temperature and pollution levels in green cities as compared to other proposed solutions, and to explore critiques of green infrastructure and discuss their potential improvements. The research provided contains a mixture of case studies, participant surveys, and other scientific findings and has the potential to make green infrastructure a priority in the future planning of cities.

Estimation of Artificial Reef Pose Based on Deep Learning

Artificial reefs are man-made structures submerged in the ocean, and the design of these structures plays a crucial role in determining their effectiveness. Precisely measuring the configuration of artificial reefs is vital for creating suitable habitats for marine organisms. This study presents a novel approach for automated detection of artificial reefs by recognizing their key features and key points. Two enhanced models, namely, YOLOv8n-PoseRFSA and YOLOv8n-PoseMSA, are introduced based on the YOLOv8n-Pose architecture. The YOLOv8n-PoseRFSA model exhibits a 2.3% increase in accuracy in pinpointing target key points compared to the baseline YOLOv8n-Pose model, showcasing notable enhancements in recall rate, mean average precision (mAP), and other evaluation metrics. In response to the demand for swift identification in mobile fishing scenarios, a YOLOv8n-PoseMSA model is proposed, leveraging MobileNetV3 to replace the backbone network structure. This model reduces the computational burden to 33% of the original model while preserving recognition accuracy and minimizing the accuracy drop. The methodology outlined in this research enables real-time monitoring of artificial reef deployments, allowing for the precise quantification of their structural characteristics, thereby significantly enhancing monitoring efficiency and convenience. By better assessing the layout of artificial reefs and their ecological impact, this approach offers valuable data support for the future planning and implementation of reef projects.

Using an e-authoring tool (H5P) to support blended learning

With an increasing emphasis on blended learning at Victoria University (VU), all the units are to be redesigned and delivered in a blended approach by the end of 2020. This presentation will outline VU librarians’ experience in the use of an open source e-authoring tool (H5P) to support the University’s blended learning strategy. We will discuss using the H5P tool to enhance library instructional videos and create interactive learning objects to support a specific unit. By using these enhanced resources, students are actively engaged with the content and can easily revisit and review at any time and are able to complete self-assessment activities at their own pace and receive immediate feedback on their performance. Furthermore, this presentation will showcase various H5P learning objects created by librarians that are reusable and shared with all VU staff, who can access from the learning objects library in VU’s learning management system (VU Collaborate). Instead of duplicating learning resources, teaching staff and other librarians are able to save time through reusing the learning objects/activities. In addition, we will outline the data that were accessible through VU Collaborate and feedback received from the teaching staff. The benefits of the tool outweighs the limitations and future plans are suggested to continue utilising this tool for the University’s First Year Model.

Simulation and electrification of a conventional vehicle into a battery electric vehicle for sustainability mobility

ABSTRACT This work explores converting a conventional 1996 Honda Civic Coupe into a battery-electric vehicle (BEV). A simulation model is developed to analyze the vehicle’s dynamic behavior under various conditions, including changes in vehicle mass and road slope. The system specifications are detailed based on a 50 kW AC induction motor, controller, battery, and battery management system. The battery comprises 2,376 NCR18650B cells with a capacity of 23 kWh based on inverter requirements. Energy consumption is simulated using the New European Driving Cycle (NEDC), resulting in 1.69 kWh to travel 10.8 km. Autonomy is estimated at 147 km. The environmental impact of 19.2 g CO2/km is calculated. The results illustrate the change in maximum speed, acceleration, and distance traveled based on changes in mass and slope. It is concluded that mass variation has a lesser impact on performance than road slope. The work demonstrates the feasibility of converting a conventional vehicle to a BEV with comparable dynamic capabilities using currently available technology. Future development plans include constructing a battery prototype, electrifying the vehicle, and incorporating instrumentation for validation.

Mobile learning and speech technology for language teachers’ professional development

This study aims to investigate the use of mobile learning to provide pronunciation training for lecturers of English as a Foreign Language (EFL) from Vietnamese provincial universities. Mobile learning offers a potential solution for the delivery of professional development to lecturers based outside major cities thanks to its capacity to enable learning anytime, anywhere. Mobile learning and speech technology are expected to facilitate lecturers’ self-direct learning to fulfil their professional development needs using their own devices. This paper reports results from a pilot study which serves as the first phase of an ongoing design-based research project. The pilot study was carried out to explore the feasibility of an online pronunciation course and identify potential problems for future course iterations in the context of participants living outside major cities in a developing country. The objectives of the project are to establish and test a set of fundamental principles for mobile learning to be an effective way of providing online professional development for lecturers based outside major cities and to shed light on the necessary adjustments in course design to make it a scalable model for future education planning. In this study, both qualitative and quantitative data were collected during two iterations of an online pronunciation professional development course for EFL lecturers from Vietnamese provincial universities.

Face-to-face and virtual mathematics enrichment for rural schools:

In this paper the authors report on the University of Southern Queensland’s (USQ) Mathematics Rural and Regional Communities (MRRC) project. This project is an extension to the Mathematics Enrichment Program (MEP), which has been running since 2007. Since the MEP’s inception, more than 500 students, 29 schools, 15 pre-service teachers (who are involved to gain practical teaching experience) and many volunteer university lecturers and other mathematics and education professionals have been involved. The MRRC project builds on USQ’s MEP to offer content in an online or virtual format. Through an interactive virtual environment, the MRRC project connects regional high schools to USQ’s two campuses to build the capacity of the teachers and students involved. The authors describe the overall aim and structure of the MRRC program, preliminary evaluations of the program, analysis of the virtual space and future plans for the program.

Functional typology of settlements in the Srem region, Serbia

Abstract The development of the functional settlement typology methodology is of academic and practical importance as it incorporates the social, economic, and demographic dimensions of regional development. Rural settlements are seen as a base for labor; traditional urban centers have become a base for commuters, while at the same time, new economic centers are emerging where capital investment is accumulating. This article presents the research conducted in the Srem region (located in the province of Vojvodina) to determine the functional typology of the settlement, which is of social, economic, and demographic importance for the region itself and for Serbia as a whole. This well-known immigration area in Serbia has been inhabited for centuries for its specific economic and political reasons. The very intensive economic activities of the last two decades have been influenced by development investments and contributed to the functional transformation of the settlements. The census data from 2022 make it possible to determine a functional typology of settlements in the Srem region using the factor method (principal component analysis). The article aims to explain the basic characteristics of functional types of settlements and to determine the mechanisms of their territorial distribution, which would be helpful in the future planning and organization of local and regional development of the Republic of Serbia.

Building A Simple Weather Forecast Application using Python Django

Weather forecasting plays a crucial role in various sectors such as agriculture, aviation, transportation, and disaster management. Accurate and timely weather predictions are essential for making informed decisions and mitigating potential risks. This project presents a comparative study of different Application Programming Interfaces (APIs) for weather data retrieval and their effectiveness in weather forecasting. The objective is to evaluate the performance, reliability, and accuracy of various APIs in providing weather information for accurate forecasting. This project presents the development of a sophisticated weather forecasting application using the Python Django framework. In response to the growing demand for accurate and accessible weather information, this application provides users with timely updates on current weather conditions, temperature variations, and detailed forecasts for the upcoming six hours. The application dynamically adapts its interface to reflect hourly changes in weather patterns, ensuring that users receive up-to-date and reliable information at all times. One of the key features of this application is its user-friendly interface, which allows users to conveniently search for weather data anytime and anywhere. Whether planning a trip, scheduling outdoor activities, or simply staying informed about local weather conditions, users can rely on this application to deliver precise and relevant information tailored to their needs. Furthermore, the application enhances user experience by providing comprehensive coverage of global weather data. Users can easily access weather information for any location worldwide, enabling them to plan travel itineraries, explore new destinations, and make informed decisions about their future holiday plans.

Iranian children's memorable rural tourism experiences

Family traveling, especially to rural areas, may lead to appealing fun experiences for children and make them memorable. Memorable experiences of children from various aspects can be useful for policy makers and planners of destinations, parents and children. The effectiveness of travels and children's learning from traveling are among the most significant concerns of parents and tourism activists. So, identifying and understanding children's memorable experiences of traveling to rural areas of Iran that has various local cultures can influence filling such gaps as future destination planning, developing child-friendly rural destinations, family traveling, designing child-oriented tourism programs, and future generation's being loyal to local destinations. This study aimed to identify Iranian children’ memorable rural tourism experiences. The sample includes 37 children from ages 6 to 12. Interpretive phenomenology was used to conduct the study with the help of interviews and the analysis of the content of children's paintings. This study shows that children pay attention like adults to such elements as people, space, activities, objects, and social relations during their travel. Moreover, the conducted interviews resulted in 45 key notions categorized into 6 basic axes of memorable experiences: being exciting, being informative, being novel and unique, being gratifying, being socially involved, and negative experiences. This study provides insights on identifying and understanding the issues affecting the creation of memorable tourism experiences for children that travel to rural areas. The issues would help parents in taking child-oriented tourism travels, planners in designing child-friendly tourism destinations, and tourism service providers in delivering child friendly offerings.

Combining high power laser modules with compound parabolic concentrators to test components at high heat fluxes

Assessing the performance and lifetime of components is a key step towards deploying new technologies in the aerospace and fusion sectors. Experimental testing at representative thermal conditions is particularly important when investigating novel materials that have yet to be fully characterized. This paper presents the key features of a new high-power laser facility developed to test components destined for extreme environments.This facility, OLAHF (Oxford LAser Heating Facility), provides a maximum power of 24 kW over an area of 200 mm by 104 mm for a base intensity of 1.15 MW/m2 via a combination of laser modules. A bespoke control system manages the laser and instrumentation systems as well as supporting cooling air and water infrastructure. A numerical model of the lasers is validated against supplier data, enabling high fidelity computational representation of experimental setups.Compound parabolic concentrators (CPCs) are investigated to increase applied laser power over smaller testing surfaces. A laser module-CPC system assessed the performance of gold and aluminum coatings at a range of surfaces roughnesses. High transmission efficiencies were demonstrated when surfaces are gold coated and below 0.1μm average roughness. Future plans for OLAHF are additionally presented, including additional test campaigns using higher power CPC systems.

Research on Photovoltaic Development in Northwestern China using Remote Sensing Images

Abstract. Photovoltaics, a clean energy source, have received widespread attention worldwide recently. Many countries are carrying out photovoltaic construction, while also compiling and analyzing their photovoltaic development status. The same goes for China. In northwestern China, a considerable number of cities lack electricity. Meanwhile, its vast plains and abundant sunlight are conducive to the construction of photovoltaics. Therefore, the northwestern China has vigorously carried out photovoltaic construction nowadays. With the support of high-resolution and multi-temporal remote sensing images, we are able to analyze the development status of photovoltaics in these regions. We chose six provinces in northwestern China as our research areas and took three steps to complete our studies. Firstly, we extracted patterns of photovoltaics using deep learning methods. Secondly, based on the patterns and national land use survey data, we calculated the distribution and development status of photovoltaics in each province. Thirdly, we present the statistical results in figures and charts, showing the photovoltaic construction status and its development trend. We finally made conclusions and discussions about our insufficiency in work and future plans for further study.

Phase I quality control framework for monitoring organ-at-risk dose

Objective. The aim of this work was to develop a Phase I control chart framework for the recently proposed multivariate risk-adjusted Hotelling’s T2 chart. Although this control chart alone can identify most patients receiving extreme organ-at-risk (OAR) dose, it is restricted by underlying distributional assumptions, making it sensitive to extreme observations in the sample, as is typically found in radiotherapy plan quality data such as dose-volume histogram (DVH) points. This can lead to slightly poor-quality plans that should have been identified as out-of-control (OC) to be signaled in-control (IC). Approach. We develop a robust iterative control chart framework to identify all OC patients with abnormally high OAR dose and improve them via re-optimization to achieve an IC sample prior to establishing the Phase I control chart, which can be used to monitor future treatment plans. Main Results. Eighty head-and-neck patients were used in this study. After the first iteration, P14, P67, and P68 were detected as OC for high brainstem dose, warranting re-optimization aimed to reduce brainstem dose without worsening other planning criteria. The DVH and control chart were updated after re-optimization. On the second iteration, P14, P67, and P68 were IC, but P40 was identified as OC. After re-optimizing P40’s plan and updating the DVH and control chart, P40 was IC, but P14* (P14’s re-optimized plan) and P62 were flagged as OC. P14* could not be re-optimized without worsening target coverage, so only P62 was re-optimized. Ultimately, a fully IC sample was achieved. Multiple iterations were needed to identify and improve all OC patients, and to establish a more robust control limit to monitor future treatment plans. Significance. The iterative procedure resulted in a fully IC sample of patients. With this sample, a more robust Phase I control chart that can monitor OAR doses of new plans was established.

Study on the Expansion Potential of Artificial Oases in Xinjiang by Coupling Geomorphic Features and Hierarchical Clustering

The study of the expansion potential of artificial oases based on remote sensing data is of great significance for the rational allocation of water resources and urban planning in arid areas. Based on the spatio-temporal relationship between morphogenetic landform types and the development of artificial oases in Xinjiang, this study explored the development pattern of artificial oases in the past 30 years by using trend analysis and centroid migration analysis, constructing a series of landform–artificial oasis change indices, and investigating the suitability of different landforms for the development of artificial oases based on geomorphological location by adopting a hierarchical clustering method. The following conclusions are drawn: (1) From 1990 to 2020, the area of artificial oases in the whole territory continued to increase, with significant expansion to the south from 2005 to 2010. (2) Six categories of landform types for artificial oasis development were created based on the clustering results. Of these, 7.39% and 6.15% of the area’s geomorphological types belonged to the first and second suitability classes, respectively. (3) The optimal scale for analyzing the suitability of landforms for the development of artificial oases over the past 30 years in the whole area was 8 km, which could explain more than 96% of the changes in the growth of artificial oases. The distribution of landforms of first- and second-class suitability within the 8 km buffer zone of an artificial oasis in the year 2020 was 10.55% and 9.90%, respectively, and landforms of first-class suitability were mainly concentrated in the near plain side of the urban agglomerations located on the northern and southern slopes of the Tianshan Mountains, and the urban agglomerations at the southern edge of Altai Mountains. This study quantified the potential of different geomorphological types for the development of artificial oases and provided a basis for site selection in future artificial oasis planning and urban construction.

Synchrotron x-ray spectra characterisation for radiation therapy applications at the ESRF - ID17 biomedical beamline

Objective. Radiation therapy requires reliable dosimetry protocols to deliver successful treatments with high accuracy and precision. In this context, accurate knowledge of the beam’s energy spectra is mandatory. The goal of this study was to validate the synchrotron x-ray spectrum of the ID17 beamline at the European Synchrotron Radiation Facility (ESRF). The modification of the synchrotron storage ring and beamline in recent years necessitates a new characterisation of the radiation spectra of the ID17 beamline. The validated spectra will be a starting point for possible future clinical applications. Approach. The half value layer method was used to measure the attenuation of the x-ray spectrum in Al and Cu. Experimental data was validated against theoretical data produced using OASYS; an in-house developed software for calculating beamline spectra. Two different spectral configurations, ‘conventional’ and ‘clinical’, were investigated. The characterised spectra were used to perform dosimetric validation of depth dose profiles measured in a water-equivalent phantom. The dose profile was measured using two different detectors and compared with calculations generated using two different Monte Carlo algorithms. Main results. The results showed good agreement between measured and predicted half value layers, with differences of less than 1% in most cases. Excellent dosimetric agreement to within 3% was obtained, an agreement that satisfies the requirements in conventional radiotherapy for approvable treatment planning. Significance. Accurate spectra have been defined and validated for the ESRF—ID17 Biomedical beamline. The validated spectra can be used as input for future dosimetric studies and treatment planning systems in the context of preclinical studies and possible future clinical trials.

Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization

Remanufacturing, a crucial step of reverse logistics, focuses on restoring or enhancing the functionality of waste products. The challenge in planning an effective remanufacturing reverse logistics system lies in the uncertainties from various sources. In addition, the evolving industrial landscape in Industry 5.0 necessitates adaptability to technological advancements. This paper proposes an integrated and digitalized architecture for uncertain reverse logistics network design. A fuzzy optimization model is first formulated to identify potential network configurations under varying demand-satisfying and capacity constraints. These solutions are automatically converted and assessed in a dynamic simulation environment with practical operational logic under a set of real-world scenarios. Numerical experiments are performed to validate the method and show the advantages of integrating optimization with dynamic simulation on a digital platform for strategic network planning. The results, built upon previous research, indicate that while initial investments in technology might be substantial, they may lead to long-term reductions in both costs and emissions. Moreover, collaborative decision-making is essential to mitigate potential disruptions and cascading effects. Our research contributes to the development of a novel integrated decision-support architecture and underscores the role of digitalization and Industry 5.0 in future smart and sustainable reverse logistics planning.

Three-Dimensional Quality Assessment of Urban Underground Space Resource Based on Multiple Geological Environmental Factors

With the rapid advancement of urbanization, the development and utilization of urban underground space resource (UUSR) has become one of the dominant features. However, in certain areas, the development of UUSR may cause disasters and accidents, such as ground collapse, settlements, and tunnel water gushing. Geological environmental factors (GEFs) are recognized as the fundamental constraining factor of UUSR development. In this paper, quality based on GEFs is defined to assess the development difficulty degree of UUSR. A 3D assessment framework is proposed based on 3D geological modelling and the interval continuous mathematical model (ICMM). The subjective and objective joint weight method of analytic hierarchy process and entropy weight method (AHP–EWM) is utilized to determine the weight of each indicator. The quality index (QI) of each spatial node of the 3D geological model is calculated by the ICMM mathematical model. A case study conducted in the Jiangbei New District of Nanjing, China, serves as a demonstration of the UUSR assessment. The results clearly illustrate the 3D distribution characteristics of the quality in the study area, offering valuable insights for future 3D urban underground space planning.

Design and Analysis of a Campus Service Platform Based on WeChat Mini Program

This paper explores the design and analysis process of a campus service mini program. As known, an increasing number of mini program platforms are emerging in the market, and the unique community of schools, consisting of teachers and students, also requires a dedicated mini program to cater to their needs. This paper covers aspects such as the functional design, page layout, technical implementation, market analysis, and future planning of the mini program. Through our research, we have found that the design and development of a mini program is a complex and meticulous task, requiring thorough consideration of user needs, technical implementation capabilities, and market demands. Utilizing front-end development technologies, the mini program achieved a simple and user-friendly interface, consolidating multiple scattered platforms commonly used by users, enhancing the platform's practicality, and improving user experience. This research article provides a detailed introduction to the design philosophy, functional modules, technical implementation, and market analysis of the mini program. Additionally, the paper outlines future development trends and offers development recommendations, enabling the mini program to better face future challenges.