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Horses are worthy of care: Horse sector participants’ attitudes towards animal sentience, welfare, and well-being
No full textOrganisations for which sentient animals are central to the business model need to demonstrate the safeguarding of animal welfare and well-being. This requires providing positive experiences for animals which is critical to maintaining the social licence to operate. A cross-sectional survey captured the attitudes of experienced horse sector participants regarding sentience, welfare and well-being. Almost all respondents (99.9%; n = 676/677), believed horses were sentient. Analysis of open-ended responses identified two themes: (1) Sentience is a pathway to understanding the mental state, welfare and well-being of horses; and (2) A moral obligation for humans to consider sentience. Respondents' observations that horses reacted to stimuli and responded to their surroundings underpinned their belief that horses were sentient. Theme one related to respondents' understanding of sentience and how sentience informed their interpretations of horse behaviours and the making of inferences regarding the equine mental state. Theme two related to a moral obligation believed to exist towards horses because humans manage the horses' environment and need to consider the impact of their interactions with horses. These obligations were perceived as responsibilities to consider sentience when determining good welfare and well-being in horse activity settings, when interacting with horses and when training and competing with horses. The results suggested a sophisticated understanding of sentience existed among experienced horse sector participants, who recognised the sentient horse as worthy of care. We propose that leveraging experienced participants' existing knowledge of sentience could support the implementation of the Five Domains model when updating organisational policies
Gender and Australian school leaders' experiences of workplace violence by students, parents, and colleagues
No full textWhile gender-based violence (GBV) is increasingly recognised as a significant social and political issue, its impact on women educators remains underexamined. In the context of growing concerns about violence against educators and the prevalence of GBV in educational institutions, this study investigates gendered patterns of violence against school leaders in Australian schools. Drawing on 18,172 observations from reports by principals and deputy principals, this analysis explores incidents of bullying, threats of violence, and physical violence to identify disparities in the experiences of men and women school leaders. The analysis determined that women school leaders were more likely to experience threats of violence and bullying at work than their male counterparts. Logistic regression analyses revealed that gender, school sector, and role significantly influence the likelihood of experiencing various forms of workplace violence, with women in secondary schools and those in government or Catholic sectors being particularly vulnerable
A randomised, double-blind, placebo-controlled study to determine the analgesic efficacy, safety and tolerability of VPX638 administered topically to painful wounds
No full textNew analgesics are needed for painful wounds. Multiple reports suggest that topical sevoflurane may have analgesic effects. This placebo-controlled randomised trial evaluated the analgesic efficacy and safety of VPX638 (topical sevoflurane). Seventy-eight participants with painful wounds, were enrolled at eight Australian centres and randomly allocated to receive 2 × 5 mL of VPX638 (N = 39) or placebo (N = 40) during one wound dressing change. Numerical pain rating scores and use of opioids were recorded for 24 h. The primary endpoint was pain during wound cleaning, secondary endpoints evaluated pain for 24 h after drug application and opioids use. There was no significant difference in mean pain scores during wound cleaning between VPX638 and placebo (0.854; p = 0.23). The mean differences in summed pain intensity difference from baseline suggested VPX638 provided greater analgesia compared to placebo over 8 h (p < 0.02), 12 h (p < 0.01) and 24 h (p < 0.05) and significantly longer duration of analgesia, 24.3 h for VPX638 versus 7.1 h for placebo (p < 0.01). In the 24 h after drug administration, participants receiving VPX638 had a 50% decrease in opioid use over 24 h compared with placebo. VPX638 appeared safe and well-tolerated. In conclusion, this small placebo-controlled randomised trial suggested that VPX638 provides analgesia and is opioid-sparing for up to 24 h after wound cleaning. It supports the need for further evaluation of the benefit of VPX638 as a topical analgesic for painful wounds
Landscape of Anonymity: Transforming the Retired COVID-19 Field Medical Facility into A Memorial Park
No full textDuring the COVID-19 emergency,the escalating number of cases overwhelmed the admission capacity of operating hospitalsin many cities.Thepandemic thusprompted the rapid construction of temporary field hospitals in cities like Wuhan, China, to relieve pressure on existing health infrastructure. While their operational phase has been well-documented, the post-pandemic reuse of these facilities remains underexplored. This study proposes a novel design paradigm-Anonymity Landscape Memorial Design -to transform the retired Huoshenshan Field Hospital into a public memorial park. Drawing on counter-memorial theory and spatial translation methods, the project reimagines commemorative landscapes through abstraction, emotional disruption, and interactive experience, rather than conventional symbolism. The design unfolds in four stages aligned with the emotional arc of the pandemic: outbreak, lockdown, recovery,and reflection. Methodologically, the study integrates multi-source data analysis, theoretical modeling, and adaptive reuse strategies to address spatial, social, and economic dimensions. Findings demonstrate how this approach fosters inclusive memory-making while yielding 62.5% material recycling and approximately CNY 7.94 million (US$1.10million) incost savings. The project contributes a replicable framework for converting ephemeral urban infrastructure into resilient civic spaces that blend memory, sustainability, and public use.These outcomes demonstrate how post-pandemic urban transformations can reduce resource waste, strengthen local economies, enhance spatial equity, and expand access to quality civic spaces –offeringinsightful perspectivesto other COVID-19-affected cities on similar issues of contemporary urbanisation
Matrix-weighted Networks in Consensus and Synchronization
No full text© 2025 Chongzhi WangNetworked systems often display emergent behaviors like consensus and synchronization, arising from local agent interactions. While traditional models rely on scalar-weighted networks to represent pairwise influences, many real-world systems—such as sensor arrays, robotic swarms, and coupled oscillators—operate in high-dimensional spaces that demand matrix-weighted networks. This shift introduces new challenges, as established graph-theoretic tools are insufficient to fully explain the behaviors observed in such systems.
To address this gap, this thesis develops a graph-theoretic framework for linear matrix-weighted networks by introducing the Nontrivial Balancing Set (NBS). The NBS characterizes how network structure dictates steady-state behaviors like consensus, bipartite consensus, and cluster consensus. This framework unifies these phenomena under a single theory and leads to practical sufficient conditions for designing matrix-weighted networks, which are validated through multi-robot coordination simulations.
As an initial step toward generalizing matrix-weighted networks to nonlinear interactions, this thesis proposes a matrix-weighted extension of the Kuramoto model to study synchronization in high-dimensional oscillatory networks. Matrix-valued coupling introduces new macroscopic behaviors, including binary system modes, where different dimensions synchronize or desynchronize independently. Using stability analysis and self-consistent analysis, this thesis derives explicit characterizations and bifurcation thresholds. These findings broaden the applicability of matrix-weighted networks to diverse domains such as multi-robot coordination, neural networks, and biological organizations
Multi-disciplinary approaches paving the way for clinically effective peptide vaccines for cancer
No full textCytotoxic CD8+ T lymphocyte (CTL) cells are central in mediating antitumor immunity. Induction of a robust CTL response requires, CTL interaction with professional antigen-presenting cells, such as dendritic cells, displaying onco-antigenic peptide, often derived from tumor-associated antigens (TAAs) or neoantigens, and costimulation via CD4+ T helper cells which then elicits an effector and memory immune response that targets and kills cancer cells. Despite the tumoricidal capacity of CTLs, cancer cells can escape immune surveillance and killing due to their immunosuppressive tumor microenvironment (TME). Therefore, to harness the CTL immune response and combat the effect of the TME, peptide-based T cell vaccines targeting specific onco-antigens, conjugated with adjuvants are a subject of ongoing research for cancer immunotherapy; particularly, multi-peptide vaccines, containing both CTL and CD4+ T helper cell epitopes along with an immunostimulant. Historically, peptide-based T cell vaccines have been investigated as a potential strategy for cancer immunotherapy. Despite initial enthusiasm, these peptide vaccines have not demonstrated success in clinical outcomes. However, recent advancements in our understanding of cancer immunology and the design of peptide vaccines targeting specific tumor antigens have paved the way for novel strategies in peptide-based immunotherapy. These advancements have reignited optimism surrounding the potential of peptide-based vaccines as a viable cancer therapeutic. This review explores the new strategies and discusses the exciting possibilities they offer. Specifically, this review develops an understanding of vaccine design and clinical outcomes, by discussing mechanisms of CTL effector and memory responses, and how peptide-based vaccines can induce and enhance these responses. It addresses the challenge of Major Histocompatibility Complex (MHC) restriction, which limits the effectiveness of traditional peptide vaccines in individuals with diverse MHC types. It also delves into the immunosuppressive tumor microenvironment and overcoming its inhibitory effects using peptide-based vaccines for efficient cancer cell elimination. The review aims to provide an understanding of the complexities faced by each field in vaccine design, enhancing dialogue and understanding among researchers by bringing together the chemistry of vaccine synthesis, cancer immunology, and clinical studies to support the development of a peptide-based vaccine
The powerful impact of teacher expectations: a narrative review
No full textIn a narrative review we investigated teacher beliefs that moderate teacher expectation effects. An extensive literature search revealed that only three researchers had systematically examined (in at least three studies) teacher beliefs' differences and consequent expectation effects for students. Babad explored teachers who believed stereotypical information about students and showed how that bias translated into teacher-student interactions. Highly biased teachers had large negative self-fulfilling prophecy effects on student outcomes. Overall, the difference in contrasts between high and low bias teachers (those who did not accept stereotypes) was d = 0.92. Weinstein's research investigated teachers who believed all students should be treated similarly versus teachers who believed high and low achievers should be treated quite differently (low and high differentiating teachers). The average effect size of the differences between these teachers was d = 0.85. Rubie-Davies examined the idea that some teachers believe that all students can make large gains (high class-level expectations) whereas others believe their students will make little progress (low class-level expectations); the average effect size difference between high and low expectation teachers was d = 0.87. Hence, the review showed that effect size differences between these different teacher types were remarkably consistent, and all were large
Treatment De-escalation in Relapsing-Remitting Multiple Sclerosis: An Observational Study
No full textBACKGROUND: In relapsing-remitting multiple sclerosis (RRMS), extended exposure to high-efficacy disease modifying therapy may increase the risk of side effects, compromise treatment adherence, and inflate medical costs. Treatment de-escalation, here defined as a switch to a lower efficacy therapy, is often considered by patients and physicians, but evidence to guide such decisions is scarce. In this study, we aimed to compare clinical outcomes between patients who de-escalated therapy versus those who continued their therapy.
METHODS: In this retrospective analysis of data from an observational, longitudinal cohort of 87,239 patients with multiple sclerosis (MS) from 186 centers across 43 countries, we matched treatment episodes of adult patients with RRMS who underwent treatment de-escalation from either high- to medium-, high- to low-, or medium- to low-efficacy therapy with counterparts that continued their treatment, using propensity score matching and incorporating 11 variables. Relapses and 6-month confirmed disability worsening were assessed using proportional and cumulative hazard models.
RESULTS: Matching resulted in 876 pairs (de-escalators: 73% females, median [interquartile range], age 40.2 years [33.6, 48.8], Expanded Disability Status Scale [EDSS] 2.5 [1.5, 4.0]; non-de-escalators: 73% females, age 40.8 years [35.5, 47.9], and EDSS 2.5 [1.5, 4.0]), with a median follow-up of 4.8 years (IQR 3.0, 6.8). Patients who underwent de-escalation faced an increased hazard of future relapses (hazard ratio 2.36 and 95% confidence intervals [CI] [1.79-3.11], p < 0.001), which was confirmed when considering recurrent relapses (2.43 [1.97-3.00], p < 0.001). It was also consistent across subgroups stratified by age, sex, disability, disease duration, and time since last relapse.
CONCLUSIONS: On the basis of this observational analysis, de-escalation may not be recommended as a universal treatment strategy in RRMS. The decision to de-escalate should be considered on an individual basis, as its safety is not clearly guided by specific patient or disease characteristics evaluated in this study
Cell-cycle dependence of bursty gene expression: insights from fitting mechanistic models to single-cell RNA-seq data
No full textBursty gene expression is characterized by two intuitive parameters, burst frequency and burst size, the cell-cycle dependence of which has not been extensively profiled at the transcriptome level. In this study, we estimate the burst parameters per allele in the G1 and G2/M cell-cycle phases for thousands of mouse genes by fitting mechanistic models of gene expression to messenger RNA count data, obtained by sequencing of single cells whose cell-cycle position has been inferred using a deep-learning method. We find that upon DNA replication, the median burst frequency approximately halves, while the burst size remains mostly unchanged. Genome-wide distributions of the burst parameter ratios between the G2/M and G1 phases are broad, indicating substantial heterogeneity in transcriptional regulation. We also observe a significant negative correlation between the burst frequency and size ratios, suggesting that regulatory processes do not independently control the burst parameters. We show that to accurately estimate the burst parameter ratios, mechanistic models must explicitly account for gene copy number variation and extrinsic noise due to the coupling of transcription to cell age across the cell cycle, but corrections for technical noise due to imperfect capture of RNA molecules in sequencing experiments are less critical
Syria's changing statelessness landscape: 2011 as critical juncture
No full text© 2025 Thomas McGeeThis PhD is dedicated to the topic of statelessness in Syria. In the sense of living without any citizenship, statelessness has been an issue since the very origins of the Syrian nation-state. Moreover, the country has been home to several large, historic statelessness situations including some 300,000 Kurds deprived of citizenship in the Northeast and more than 400,000 Palestinian refugees. In addition to - and intersecting with - these protracted situations, discriminatory legal provisions and practices meaning mothers cannot pass nationality to their children on an equal basis with fathers create further cases (and risks) of statelessness. Since this risk factor implicates half of all adults, statelessness has long been a significant - at least potential - concern for a considerable proportion of Syria’s population.
More than a decade of civil war has transformed Syria’s statelessness in various ways. Non-state armed actor control and competing governance systems have produced new risks of statelessness, particularly for children born since the start of the conflict. This thesis consequently traces the post-2011 diversification of statelessness in, and emanating from, Syria. It unpacks the changes in the lived experience and discursive framings of Syrian statelessness that have taken place since 2011. This is done by coining the concept of “statelessness landscape” to provide a more holistic picture of the phenomenon. This concept is thus deployed across the thesis to understand experiences beyond simply the written text(s) of the law. As such, the study considers the expanded geographical and institutional landscape affected by statelessness issues relating to Syria since 2011. Beyond Syria itself, it explores the experiences of stateless Syrians, or those at risk of statelessness, in displacement contexts to consider the impacts of the statelessness-displacement nexus in the Syrian case