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The integral role of incubator managers in supporting tenants’ positive psychological wellbeing
Managers perform an important role at incubators by coordinating and managing operations while facilitating, and often delivering, services that support tenants’ business growth. Less is known about the relationship between managers and tenants at incubators, and how they support tenants’ positive psychological wellbeing. In this study, in-depth interviews with incubator managers (n = 28) and tenants (n = 12) were conducted to examine the role of managers in supporting tenant’s positive psychological wellbeing, focusing on the constructs of hope, efficacy, resilience, and optimism. The qualitative data provided consistent insights about the integral role of managers in supporting tenant’s positive psychological wellbeing, by facilitating their hope, efficacy, resilience, and optimism. Managers are essential in supporting tenants at a critical point in their business development. Consideration is given to the role that incubator managers fulfil at incubators and the provision of support they offer tenants, to meet their business and psychological needs. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
Are physiotherapists expected to be competent in digital health practice? Meta-synthesis of international physiotherapy practice competency standards
Background: Digital health technology is progressively transforming physiotherapy practice. Despite a maturing body of literature relating to physiotherapy digital health capability, research examining digital health physiotherapy competency standards is both lacking and lagging. Objective: Examine international professional practice competency standards for physiotherapists to identify themes common to digital health practice competency, published by international peak organizations governing physiotherapy practice. Methods: Systematic meta-synthesis of international peak organization physiotherapy practice competency standards. The study was undertaken over nine stages. Competency statements related to digital health were extracted, and further coded into resultant themes. Results: Eleven documents were analyzed. Fifty-two statements explicitly referenced digital health competency. Identified themes were as follows: 1) digital health data governance; 2) digital health data translation; and 3) digital health technologies. Where digital health-related competency statements do exist, they are skewed toward health information management activities. Conclusions: Digital health practice is currently under-represented in competency standards for physiotherapists. Workforce advancement in light of the burgeoning impact of digital health will prompt further updates to professional competency standards set by our peak organizations. This will have a flow on effect, whereby education providers (e.g. universities and other professional development providers) should consider curriculum and training that prepares individuals for digitally enabled practice. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC
Modeling of impact of operations and maintenance on safety, availability, capacity, and cost of railways-a system dynamics approach
The transport infrastructure, particularly the railway infrastructure plays a vital role in the delivery of freight and the transportation of people. The ability and reliability of the railway infrastructure to deliver goods and transport people are challenged by train derailments and collisions caused by infrastructure breakdowns. Lack of maintenance has been identified as one of the causes of infrastructure breakdowns leading to accidents. The current paper proposes that if the railway infrastructure safety, availability, capacity, and cost are modeled using system dynamics, the impact of infrastructure operation and maintenance on safety can be predicted more accurately. The paper follows systems thinking approach that aims to understand the railway infrastructure as a system, by defining the system structure, system component relationships, and system behavior. The impact on railway infrastructure is modeled using system dynamics by developing causal loop diagrams and stock and flow diagrams which define the system structure, and system component relationships, and models the system behavior of safety, availability, capacity, and cost. © 2024 The Author
Investigation of magnetic and electric properties of bismuth ferrite nanoparticles at different temperatures
Multiferroic bismuth ferrite shows a massive interest in its potential application in magnetic and electronic devices however maintaining high purity in bismuth ferrite nanoparticles at different temperatures is a difficult task for researchers. Several samples are prepared with different annealing temperatures and investigated in different atmospheres to recognize magnetic and electrical properties. A xerogel powder of bismuth ferrite is synthesized by the sol-gel route. The powder then anneals at 500, 600, 700, and 800 °C to form a nanostructure. X-ray diffraction analysis confirms that the annealed samples are in rhombohedral structure with R3c space symmetry and show a significant increase in crystal size and reduction in lattice strain with increasing annealing temperature. FESEM reveals the microstructural features of annealed nanoparticles which represent the conversion of spherical to cubic morphology with annealing temperature. Vibrating sample magnetometer investigations were conducted as a function of annealing and surface (300, 200, 80 K) temperatures. Insignificant variations of saturation magnetization are detected with surface temperature, but considerable degradation is observed with increasing annealing temperatures. The band-gap energy of bismuth ferrite nanoparticles annealed at 500, 600, 700, and 800 ºC is measured and significant escalation is observed from 1.93 to 2.06 eV. Electrical property analyses have been investigated as a function of frequency at different surface temperatures of 50, 100, 150, 200, 250, 300, and 350 °C. Remarkable variations are established in the electric and magnetic properties. Bismuth ferrite has been widely investigated due to its promising multifunctional device applications such as memory devices, spintronics, sensors, actuators, and photocatalytic and photovoltaic applications. © 2024 Elsevier B.V
Vienna Drysdale Bischard : autistic artistic
SAT 5 OCT – SAT 9 NOV 2024 As a practicing artist with Autism, Vienna Drysdale Bischard's art practice and research examines how Autism affects her art, as well as how her art making encapsulates Autism. In a series of self-portraits, alongside friends’ portraits and objects of personal significance, Bischard translates childhood memories and feelings of ‘difference’ as well as the ways in which she sought comfort and connection. Bischard’s sense of ‘difference’ is also relayed though a series of line drawings depicting figures that are at once familiar, yet transformed by Augmented Reality (AR), triggering abstracted imagery with digitally enhanced voicescapes. Here, by distorting the viewers’ sense of familiarity, Bischard expresses the process of daily masking and modelling techniques for those with Autism, in an effort to ‘normalise’ their emotional responses and appear ‘normal’ and acceptable to others. Concerned with medical research and suggested solutions to cure Autism through genetic and behavioural research, Bischard’s work also seeks to oppose suggested cures: rather to reorganise societal thinking to understand that Autistic people do not require healing or any form of medical fix. Vienna Drysdale Bischard is supported by an Australian Government Research Training Program (RTP) Fee-Offset Scholarship through Federation University. Image: Vienna Drysdale Bischard A study of Pfaff with case, 2024 digital print H29.7 x W42 cm Courtesy the artis
Assessment of IIoT sensor security vulnerabilities in digital wine manufacturing leveraging the CVSS
Integrating IIoT into manufacturing has significantly enhanced connectivity and production precision, but it also introduces a complex cybersecurity landscape, particularly in digital manufacturing systems. Current vulnerability assessment tools are often system-specific and need more scalability for large IIoT networks. While CVSS offers a standardized framework for assessing vulnerabilities across entire systems, practical adaptations for specific manufacturing contexts are yet to be developed. To address this gap, we present a novel framework to evaluate CVSS impact metrics tailored to the unique environmental and operational contexts of wine manufacturing. This approach leverages the correlation between wine characteristics and quality to assess potential threats and vulnerability exposures in IIoT wine sensors. Our findings show that vulnerability scores derived from CVSS 4.0 demonstrate greater resilience against cyber-attacks than CVSS 3.1 due to the incorporation of newly developed system impact and threat metric assessments. A pair-wise t-test reveals a significant difference between CVSS 4.0 and 3.1 scores, with a p-value of 0.002, highlighting the comprehensiveness of CVSS 4.0 that incorporates system impact and threat metric values assessed by our proposed framework. The proposed methodology is adaptable for evaluating security vulnerabilities in various manufacturing systems, tailored to their specific applications and deployment contexts. © 2013 IEEE
A novel model predictive current control with reduced computational burden based on discrete space vector modulation for PMSM drives
Discrete space vector modulation (DSVM) technique is commonly adopted in model predictive control (MPC) to mitigate current harmonics and torque ripples. Nevertheless, the employment of DSVM typically leads to heavy computational burden and high switching frequency (SF). To solve these problems, a novel model predictive current control (MPCC) scheme based on DSVM is proposed in this paper for permanent magnet synchronous motor (PMSM) drives. Firstly, a simple voltage vectors (VVs) pre-selection strategy based on the stator flux increment is introduced to eliminate the redundant virtual VVs generated by DSVM for the purpose of lower computational burden. Then, a hierarchical search strategy is designed to generate the candidate VVs online, which can further simplify the DSVM technique. In addition, an efficient optimal switching sequence (OSS) method is also employed to reduce the switching losses without weakening the control performance. Compared to the existing strategies, the proposed scheme possesses lower complexity and SF as well as superior performance. The effectiveness of the proposed scheme is supported by comparative experimental results on a PMSM platform
Recent trends and digital technology applications in lower limb injury rehabilitation
The field of rehabilitation technology has witnessed significant advancements and transformations in recent years, and as we enter 2023, its impact on healthcare continues to expand. This abstract encapsulates the key themes discussed in the preceding sections, highlighting both the potential benefits and limitations of these technologies. Rehabilitation technologies have evolved to offer innovative solutions that empower patients in their recovery journey. Among the notable trends is the integration of wearable technology, including smart sensors and activity trackers, which enable real-time monitoring of patients' progress. These devices provide valuable feedback to both patients and healthcare providers, aiding in informed decision-making regarding treatment plans. Virtual reality (VR) technology has emerged as a game-changer in rehabilitation. By immersing patients in realistic scenarios, VR challenges individuals to improve their motor skills and balance, effectively accelerating their recovery from lower limb injuries. Telehealth, another burgeoning trend, facilitates remote care delivery, allowing patients to access rehabilitation services from the comfort of their homes. This reduces the need for physical clinic visits while ensuring patients receive the care they require. Robotics plays a pivotal role by providing support during exercises and activities, mitigating injury risks, and monitoring patients' progress. Artificial Intelligence complements these technologies by tailoring rehabilitation programs to individual patient needs, utilizing data from wearable devices to offer personalized insights and adjustments. Despite these promising advancements, limitations persist, including issues of accessibility, regulatory oversight, technical proficiency requirements, and data privacy concerns. Addressing these challenges is essential to fully harness the potential of rehabilitation technologies in 2023. In conclusion, rehabilitation technology is poised to revolutionize patient care and recovery for lower limb injuries. As technology continues to advance and healthcare providers explore new avenues for enhancing patient outcomes, these trends are expected to evolve and expand, offering a brighter future for rehabilitation medicine. © 2025 Elsevier Inc. All rights reserved
The future of digital mental health care : challenges and opportunities for practice
The landscape of mental healthcare is rapidly evolving with the integration of digital technologies. This chapter explores the challenges and opportunities in digital mental healthcare practice. As digital tools become increasingly prevalent in delivering mental health services, addressing the ethical, clinical, and technical complexities that emerge is imperative. The challenges include issues related to data privacy, regulation, and ensuring equitable access to care. Conversely, the opportunities are vast, encompassing enhanced treatment options, improved monitoring, and a broader reach for mental health services. This chapter delves into these challenges and opportunities, offering insights into the changing dynamics of mental healthcare in the digital age and highlighting the need for a balanced, ethical, and effective approach to harnessing the potential of digital technologies for the betterment of mental healthcare practices. © 2025 Elsevier Inc. All rights reserved
Seeking academic voice : an autoethnographic study of casualisation in teacher education
Within the context of teacher education in Australian universities, understanding the barriers and challenges experienced by female teacher educators of colour is vital to developing social justice frameworks. This chapter presents an autoethnographic case study offering a more nuanced understanding of the inclusion of ethnic, migrant teacher educators within these spaces. It particularly extends scope for senior university management to meaningfully grasp the quotidian, ongoing challenges facing women of colour who are casual academics. Using personal narrative and an emotionally reflexive lens, I draw on my lived experiences as a casual woman academic of colour, constantly navigating uncertain terrains within academia. I argue for workplace equity for this minority group to further the creation of an inclusive teaching and learning space for all. Raising such disruptive queries enables our students to critically question entrenched exclusions within neoliberal university structures, including the dissonances between teaching inclusion while living racialised experiences as teacher educators. Ongoing exclusion through casu- alisation further marginalises this minority group, posing an obstacle to development as teacher-educators, adversely impacting their professional, socio-cultural, and emotional inclusion within tertiary institutional spaces. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024