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    Publication
    Book Chapter
    The Gran Complicidad and the Spanish Empire (1635–1649)
    (Brill, 2026-09-09)

    During the first half of the 17th century, communities of merchants of Portuguese origin were the cause of acute anxieties and conspiracy theories that led to a series of targeted crackdowns conducted by the inquisitorial tribunals in Mexico, Peru, and New Granada (present-day Colombia). The merchants and their families were the descendants of Jews who had been compelled to convert to Christianity in the late 15th century, and they were suspected (rightly or wrongly) of continuing to secretly practice Judaism (or Judaize) even though they were baptized Christians. This fear of the spread of Crypto-Judaism by those known as New Christians or Conversos was supplemented by the anxiety that these merchant communities were secretly collaborating with enemies of the Habsburg monarchy to undermine the security of the Spanish Empire.

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    Publication
    Book Chapter
    Can Innovative Learning Environments Promote Inclusion?
    (Emerald Publishing Limited, 2026-10-07) ;

    The aspiration for inclusive school environments is an international priority aligned with multiple Sustainable Development Goals (SDGs). ILE with salutogenic design (a focus on physical and psychological health and well-being), can enable unique opportunities to foster inclusive educational practices that address the diverse needs of all learners. Critiques underscore how power relations, pedagogical choices, and material design intersect to shape whether ILE support inclusive teaching and learning or unintentionally exclude learners who do not fit dominant norms. Flexible, collaborative spaces, when poorly designed, can inadvertently marginalize certain students and reinforce exclusory practices.

    ILE are central to contemporary education reform, particularly in compulsory schooling. Characterized by open layouts, integrated digital tools, and team-based pedagogies, ILE are often viewed as catalysts for collaboration and equitable learning (Page et al., 2021). Movable furniture, breakout zones, and digital platforms are intended to foster student agency. Yet, these same features can reflect normative assumptions about learners. As Willis et al. (2024) explain, “schools communicate messages to students through their physical spaces, including ideals about who was imagined as a student who would feel welcome and at home” (p. 1). When environments presume that all learners thrive in highly stimulating, visually open spaces, students who require quieter, structured, or low-sensory settings may be marginalized. It is therefore important to design a range of spaces for students who may need opportunities to reset away from others.

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    Publication
    Book Chapter
    Student Agency in Innovative Learning Environments
    (Emerald Publishing Limited, 2026)

    Learner agency involves the capacity of students to initiate, direct, and transform their own educational experiences. In ILE, agency emerges through multiple, intertwined dimensions that shape how teachers and learners engage in flexible, technology-rich schooling contexts. Student agency can be understood as the capacity to engage with, shape, and be shaped by socio-material engagements in educational settings. Tensions exist around devolving power to students and the demands of standardized curricula. However, when effectively acknowledged and cultivated in ILE, student agency can transform relationships, support inclusive pedagogies, enable engagement with learning, and reconfigure traditional power relationships.

    ILE have been linked with the demands of an unknown future and the need for “21st century learners” to be flexible and use their initiative when faced with uncertainty (Charteris et al., 2022). ILE can be used to foster diverse modes of learning, often through high degrees of flexibility with reconfigurable spaces, moveable furniture, and integrated digital tools. Depending on how the concept of ILE is interpreted, there can be a focus on maximized student engagement, collaboration, and initiative. Student agency has gained prominence as teachers look for ways to involve students actively in decisions about what, how, and where learning happens.

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    Journal Article
    From classrooms to eco-communities: an ecological approach to school connectedness, intergenerational advocacy and student agency
    (Routledge) ;
    Chiasson, Mario
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    ; ;
    Jose, Caroline
    ;
    Bertin-Post, Mireille
    ;
    Lagacé, Marie-Josée
    ;
    Soucy, Annie
    ;
    Doucet, Yves

    This article examines how an ecological approach to education can enable student-led practices that strengthen school connectedness. This qualitative case study illustrates how school connectedness and student agency can be realised when educational practice is ecologically embedded within community systems. School connectedness is rooted in shared responsibility, empathy, and real-world engagement. Data from five semi-structured interviews were analysed, revealing how students in one Canadian school took the initiative to prevent the closure of a local aged care home. By orchestrating fundraising events, forging relationships with community businesses, and offering direct support to vulnerable residents, students demonstrated the transformative impact of their engagement on community well-being. These findings highlight how school connectedness flourishes when anchored in an ecological framework that transcends traditional school boundaries. The case develops ‘eco-community connectedness’ as a conceptual proposition for understanding connectedness as a dynamic, participatory and multi-level practice. The article concludes with a practical tool, an ‘Eco-Community Connectedness Framework’ that supports educators to consider how teaching practices, relationships and institutional conditions can enable student agency and connectedness across school-community ecologies.

      9
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    Open Access
    Journal Article
    Integrating soil monitoring and machine learning to map historical tillage and stubble management across Australian cropping systems (2001–2023)
    (Elsevier BV, 2026-03-01)
    Pasut, Chiara
    ;
    Li, Ming
    ;
    Armour, Bonnie
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    Asanopoulos, Christina
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    Brown, Glenn
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    Crawford, Doug
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    Farrell, Mark
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    ;
    Hoyle, Frances
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    McCaskill, Malcolm
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    Migliorati, Massimiliano De Antoni
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    Moreton, Robert
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    O’Keeffe, Tamara
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    ;
    Reeves, Steven
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    Schapel, Amanda
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    ;
    Karunaratne, Senani

    Tillage and stubble management are key drivers of soil health, crop productivity, and greenhouse gas (GHG) emissions, yet long-term spatially explicit data on these practices remain scarce. Using data from two Australian national soil monitoring programs Soil Carbon Research Project (SCaRP) and Soil Organic Carbon Monitoring (SOC-M) we analyzed over two decades (2001–2023) of tillage and stubble management records collated across 300 Australian farmer paddock scale datasets. We developed machine learning models based on random forest to predict spatial and temporal trends in these practices, incorporating crop type, soil classification, climate variables, and spatial coordinates as predictors. Our models were benchmarked against multinomial logistic regression and a nearest-neighbour baseline, demonstrating that random forest consistently achieved higher accuracy, particularly for dominant practices such as no-tillage and stubble grazing. Variable importance analyses identified “Year” as the most influential predictors, capturing widespread no-tillage adoption post-2010, while latitude and crop type further explained regional variations. Partial dependence plots revealed sharp inflection points in adoption trajectories around 2010, coinciding with major policy and technological shifts. We applied the models to generate gridded predictions (0.5° resolution) across the Australian cropping zone, providing insights into the evolving distribution of tillage and stubble practices. These spatial products not only improve GHG accounting frameworks and Earth system models but also offer actionable intelligence for soil health policy and targeted extension programs. Our approach demonstrates how combining ground-based monitoring with machine learning can fill critical data gaps and provide a scalable framework for agricultural management assessment and climate mitigation strategies.

      4  5
Most viewed
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    Conference Publication
    Orgasmic Gushing: where does the fluid come from and how is it produced?
    (Women in Research (WiR), 2005)
    O'Brien, GM
    There are three sexual fluids from women: lubrication (e.g. transudation of fluid across the mucosa of the vagina, and mucus from the greater vestibular glands); female ejaculation (from paraurethral glands); and gushing. Orthodox western medicine and physiology does not yet have a standardized description or explanation for the third, gushing. The present paper proposes that the gushing fluid is a filtrate of plasma, produced by the mechanism known as transudation. This is an additional application for the transudation mechanism, after the well accepted roles in lubrication of the vagina, and in generating serous fluids. The present model proposes that the fluid released in a gush arises from the ventral wall of the vagina due to the presence there of increased surface area of mucosa, dilated arterioles, pressurized venous and lymphatic plexuses, and compression provided by muscle contraction during orgasm.
      65477
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    Dataset
    Mapping Long Term Changes in Mangrove Cover and Predictions of Future Change under Different Climate Change Scenarios in the Sundarbans, Bangladesh
    (2018-05-22)
    Ghosh, Manoj Kumer
    ;
    Ground-based readings of temperature and rainfall, satellite imagery, aerial photographs, ground verification data and Digital Elevation Model (DEM) were used in this study. Ground-based meteorological information was obtained from Bangladesh Meteorological Department (BMD) for the period 1977 to 2015 and was used to determine the trends of rainfall and temperature in this thesis. Satellite images obtained from the US Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) website (www.glovis.usgs.gov) in four time periods were analysed to assess the dynamics of mangrove population at species level. Remote sensing techniques, as a solution to lack of spatial data at a relevant scale and difficulty in accessing the mangroves for field survey and also as an alternative to the traditional methods were used in monitoring of the changes in mangrove species composition, . To identify mangrove forests, a number of satellite sensors have been used, including Landsat TM/ETM/OLI, SPOT, CBERS, SIR, ASTER, and IKONOS and Quick Bird. The use of conventional medium-resolution remote sensor data (e.g., Landsat TM, ASTER, SPOT) in the identification of different mangrove species remains a challenging task. In many developing countries, the high cost of acquiring high- resolution satellite imagery excludes its routine use. The free availability of archived images enables the development of useful techniques in its use and therefor Landsat imagery were used in this study for mangrove species classification. Satellite imagery used in this study includes: Landsat Multispectral Scanner (MSS) of 57 m resolution acquired on 1st February 1977, Landsat Thematic Mapper (TM) of 28.5 m resolution acquired on 5th February 1989, Landsat Enhanced Thematic Mapper (ETM+) of 28.5 m resolution acquired on 28th February 2000 and Landsat Operational Land Imager (OLI) of 30 m resolution acquired on 4th February 2015. To study tidal channel dynamics of the study area, aerial photographs from 1974 and 2011, and a satellite image from 2017 were used. Satellite images from 1974 with good spatial resolution of the area were not available, and therefore aerial photographs of comparatively high and fine resolution were considered adequate to obtain information on tidal channel dynamics. Although high-resolution satellite imagery was available for 2011, aerial photographs were used for this study due to their effectiveness in terms of cost and also ease of comparison with the 1974 photographs. The aerial photographs were sourced from the Survey of Bangladesh (SOB). The Sentinel-2 satellite image from 2017 was downloaded from the European Space Agency (ESA) website (https://scihub.copernicus.eu/). In this research, elevation data acts as the main parameter in the determination of the sea level rise (SLR) impacts on the spatial distribution of the future mangrove species of the Bangladesh Sundarbans. High resolution elevation data is essential for this kind of research where every centimeter counts due to the low-lying characteristics of the study area. The high resolution (less than 1m vertical error) DEM data used in this study was obtained from Water Resources Planning Organization (WRPO), Bangladesh. The elevation information used to construct the DEM was originally collected by a Finnish consulting firm known as FINNMAP in 1991 for the Bangladesh government.
      48268  50
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    Conference Publication
    Reinforced Behavioral Variability and Sequence Learning Across Species
    (Association for Behavior Analysis International (ABAI), 2012)
    Doolan, Kathleen
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    ;
    McEwan, James
    Previous research shows that reinforcement of variable responding will facilitate sequence learning in rats (Neuringer, Deiss & Olson, 2000) but may interfere with sequence learning in humans (Maes & van der Goot, 2006). The present study aimed to replicate and extend previous research by assessing the role of behavioral variability in the learning of difficult target sequences across 3 species: humans (n = 60), hens (n = 18) and possums (n = 6). Participants were randomly allocated to one of three experimental conditions (Control, Variable, Any). In the Control conditions sequences were only reinforced if they were the target sequence, in the Variability conditions sequences were concurrently reinforced on a Variable Interval 60-s schedule if the just entered sequence met a variability criterion, and in the Any condition sequences were concurrently reinforced on a Variable Interval 60-s schedule for any sequence entered. The results support previous findings with animals and humans; hens and possums were more likely to learn the target sequence in the Variability condition, and human participants were more likely to learn the target sequence in the Control condition. Possible explanations for differences between the performance of humans and animals on this task will be discussed.
      39946  1
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    Open Access
    Dataset
    The drivers and consequences of change to the physical character of waterholes on an Australian dryland river
    This dataset provides all the raw and analysed data for the thesis titled 'The drivers and consequences of change to the physical character of waterholes on an Australian dryland river'.
    The data has been divided into four folders that are aligned with the data chapters for the thesis. These being: (Ch 2) waterhole mapping, (Ch 3) floodplain gullies, (Ch 4) sediment transport and (Ch 5) fish.
    A README file is provided for each chapter which contains a description of the individual datasets and a list of files that make up each dataset.
    The data in this archive is a combination of data obtained from desktop studies as well as field work on the Darling River (i.e., the fish data).
    Further, fish data were collected on the Darling River between Bourke and Wilcannia. Waterhole mapping was undertaken on the Barwon-Darling between Walgett and Wilcannia. Gully mapping was undertaken on the Barwon-Darling River between Mungindi and Wilcannia. Sediment transport capacity was assessed at five sites between Collarenebri and Tilpa.
      37890  3962
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    Open Access
    Journal Article
    A Review into Effective Classroom Management and Strategies for Student Engagement: Teacher and Student Roles in Today’s Classrooms
    (Redfame Publishing Inc, 2019-12)
    Franklin, Hayley
    ;
    A teacher's role encompasses far more than just imparting curricula outcomes to their students: they need to equip students with the necessary tools to experience social and academic success both inside the classroom and beyond it. Teachers need to empower students with the means to critically analyse the world around them in order to develop into critical independent thinkers. Students need to be proficient in utilising skills associated with higher levels of thinking, that will empower them with the ability to identify, analyse and evaluate the infinite volume of information available through our rapidly changing digital world. Just as teachers need to take responsibility for the various methods of teaching and instruction in the classroom, it is essential for students to take ownership of the learning process, to ensure future success in university environments, where sustained personal effort and metacognitive skills are fundamental to academic success. The object of the review of the literature surrounding the roles of teacher and student, effective classroom management strategies, and successful evidence-based teaching and learning pedagogies, is to assist new and experienced teachers in the promotion of a positive classroom experience for all.
      32527  52544