Current Project Research Articles

Editor's Choice – Vascular Registries Contributing to VASCUNET Collaborative Abdominal Aortic Aneurysm Outcome Projects: A Scoping Review

Vascular surgery registries report on procedures and outcomes to promote patient safety and drive quality improvement. International registries have contributed significantly to the VASCUNET collaborative abdominal aortic aneurysm (AAA) outcome projects. This scoping review aimed to outline the national registries in vascular surgery that currently participate in the VASCUNET collaborative AAA projects. A scoping review of all published VASCUNET AAA studies and validation reports between 1997 and 2024 was undertaken. A survey was conducted among representatives of the international vascular registries contributing to VASCUNET collaborative AAA projects. Currently, vascular registries from 10 countries (Australia, Denmark, Finland, Hungary, Iceland, New Zealand, Norway, Sweden, Switzerland, and the UK) contribute to the current VASCUNET collaborative AAA project, of which eight have national coverage. In the past, three countries (Germany, Malta, and Italy) have participated in previous VASCUNET AAA projects, and a further three countries (Serbia, Greece, and Portugal) have planned participation in future projects. External validity is high for all current registries, with most reporting rates of > 90%. The majority have internal validation processes to assess data accuracy. VASCUNET mediated validation has also been performed by the consortium for five countries to date (Hungary, Sweden, Denmark, Malta, and Switzerland), for which a high degree of external and internal validity was identified. Most registries have established mechanisms for data linkage with national administrative datasets or insurance claims datasets and contribute to quality improvement through regular reporting to participating centres. National vascular registries from nations participating in the VASCUNET collaborative AAA projects are largely comprehensive, with high case ascertainment rates and good quality data with internal quality assurance. This provides a template for new registries wishing to join the VASCUNET collaboration and a benchmark for future research.

Generalized Linear Mixed Effects Modeling (GLMM) of Functional Analysis Graphical Construction Elements on Visual Analysis

Multielement designs are the quintessential design tactic to evaluate outcomes of a functional analysis in applied behavior analysis. Protecting the credibility of the data collection, graphing, and visual analysis processes from a functional analysis increases the likelihood that optimal intervention decisions are made for individuals. Time-series graphs and visual analysis are the most prevalent method used to interpret functional analysis data. The current project included two principal aims. First, we tested whether the graphical construction manipulation of the x-to-y axes ratio (i.e., data points per x- axis to y-axis ratio [DPPXYR]) influenced visual analyst’s detection of a function on 32 multielement design graphs displaying functional analyses. Second, we investigated the alignment between board certified behavior analysts (BCBAs; N = 59) visual analysis with the modified visual inspection criteria (Roane et al., Journal of Applied Behavior Analysis, 46, 130-146, 2013). We found that the crossed GLMM that included random slopes, random intercepts, and did not include an interaction effect (AIC = 1406.1, BIC = 1478.2) performed optimally. Second, alignment between BCBAs decisions and the MVI appeared to be low across data sets. We also leveraged current best practices in Open Science for raw data and analysis transparency.

Optimized MMC passive impedance shaping method for high frequency oscillation suppression

Recent years, there have been several high-frequency oscillation events in modular multilevel converter (MMC) based DC current projects. Considering the wideband oscillation characteristics of this issue, passive MMC impedance shaping methods are superior solutions for their advantages over the active methods in enhancing the broadband damping level. However, the optimization of parallel passive devices mainly focused on reactive power compensation and the suppression of characteristic harmonics generated by low-level inverters, which is not applicable to MMC systems. To address the optimization design problem of passive damping devices, this paper proposes an optimized design method for passive filters by analyzing the relationship between the passive damping device and the impedance shaping effect of the inverter. The proposed method reduces the capacity of the passive damping device while ensuring system stability margin. Finally, the effectiveness of the proposed passive impedance shaping strategy is verified through time-domain simulations considering changes in AC side operating conditions and power reduction operation of the MMC.

Employee Monitoring System Using Power BI

Abstract: This paper introduces an HR attendance and task monitoring system, which has been developed utilizing Power BI. The system provides a comprehensive dashboard for HR personnel to visualize and track employee activity effectively. The dashboard includes key aspects such as Attendance Monitoring system works on real-time or historical attendance data can be showcased, letting HR to identifies trends, patterns, and potential attendance problems. Employee Skills & Roles this section presents a clear view of employee skillsets and assigned roles, helping in informed project allocation and resource management accurately. Project Assignments the dashboard keeps track of current project assignments for each employee, empowering HR to understand workload distribution and make adjustments when needed. By utilizing Power BI's data visualization and analysis abilities to the fullest extent, this system augments HR to gain crucial insights into employee activity. This assists in better decision-making in areas like attendance management, project allocation, and resource optimization, ultimately contributes to a more efficient and productive workforce

GausSN: Bayesian time-delay estimation for strongly lensed supernovae

ABSTRACT We present gausSN, a Bayesian semiparametric Gaussian Process (GP) model for time-delay estimation with resolved systems of gravitationally lensed supernovae (glSNe). gausSN models the underlying light curve non-parametrically using a GP. Without assuming a template light curve for each SN type, gausSN fits for the time delays of all images using data in any number of wavelength filters simultaneously. We also introduce a novel time-varying magnification model to capture the effects of microlensing alongside time-delay estimation. In this analysis, we model the time-varying relative magnification as a sigmoid function, as well as a constant for comparison to existing time-delay estimation approaches. We demonstrate that gausSN provides robust time-delay estimates for simulations of glSNe from the Nancy Grace Roman Space Telescope and the Vera C. Rubin Observatory’s Legacy Survey of Space and Time (Rubin-LSST). We find that up to 43.6 per cent of time-delay estimates from Roman and 52.9 per cent from Rubin-LSST have fractional errors of less than 5 per cent. We then apply gausSN to SN Refsdal and find the time delay for the fifth image is consistent with the original analysis, regardless of microlensing treatment. Therefore, gausSN maintains the level of precision and accuracy achieved by existing time-delay extraction methods with fewer assumptions about the underlying shape of the light curve than template-based approaches, while incorporating microlensing into the statistical error budget. gausSN is scalable for time-delay cosmography analyses given current projections of glSNe discovery rates from Rubin-LSST and Roman.

Restoration manager: Adapting project delivery methods for the restoration of architectural heritage

The restoration of architectural heritage is a complex process and presents intricate and formidable challenges. The project delivery method plays a pivotal role for the success of the restoration process. There exists a diverse array of project delivery methods, each characterized by its distinct set of advantages and disadvantages. In the context of architectural heritage restoration, given its distinct characteristics, these advantages and disadvantages encompass a wide spectrum. Current project delivery methods, while effective for certain contexts, often fall short in addressing the unique requisites of restoration projects. Acknowledging this inadequacy, this article undertakes a research that includes a literature review that not only examines prevailing project delivery methods but also articulates the need for a tailored framework within the restoration field. This article is produced from the doctoral thesis titled "Development of a Sustainable Integrated Management System for the Conservation of Architectural Heritage", which is in the process of preparation. In the light of the results of the survey which is conducted within the scope of the first author's doctoral study in order to examine the project delivery approach preferred among the participants that are working in the field of the conservation of architectural heritage, a project delivery method called "Restoration Manager", which has been precisely prepared to meet the requirements inherent in restoration initiatives, is presented. This comprehensive project delivery method seeks to fill the void by addressing the distinct needs and challenges encountered in restoration projects. The essence of this work is to create an appropriate project delivery system that adapts to the nuances of the restoration works, and through this project delivery framework, the restoration processes and outcomes will successfully be completed.

A newly early warning model for anaerobic digestion systems: Based on an improved sparrow search algorithm combined with least square support vector machine

Anaerobic digestion as an important means of organic waste treatment will play a key role in the realization of ecological civilization and the goal of double carbon. However, the instability of the system due to the high sensitivity to operating conditions restricts the economy and sustainability of the current commercial biogas projects in China. Machine learning as an early warning and control tool for many industrial systems is also applicable to anaerobic digestion systems. Existing studies focus on the biogas or methane yield prediction of the system, while there are few studies have considered the acid-bases indicators, which is crucial to the stability of the system. In this study, an improved sparrow search algorithm was developed, and after comparing its performance with selected optimization algorithms using CEC2017 test suite, combined with LSSVM, was applied to the prediction of eight different indicators of anaerobic systems, and eight datasets were validated. The results show that the optimization algorithm proposed in this study improves the performance of LSSVM and the model of ISSALSSVM shows excellent potential in the early warning and controlling of anaerobic digestion system.

Critical Reflections on Universities, Publishing, and the Early Career Experience

This paper is a critical reflection on the changing relationship between university institutions, academic publishing, and young researchers. It emerges from a current project in assessing the role and development of Warwick University’s research journals (and their editors), but also takes into account two recent Warwick Institute of Advanced Study seminars discussing the practical and strategic challenge of publishing for early career scholars and PhD students. While these seminars concerned publishing in general, and the question of career trajectories, this reflection paper takes into account the current shifts in publishing and our understanding of research as knowledge production more broadly. This reflection maintains that, in part provoked by digital media, the status of research knowledge vis-à-vis its traditional presentation in the discrete products of the ‘article’, and the book, has become unstable, and this instability has opened up a range of economic and systemic conditions of knowledge production that have long since been concealed. Current shifts thus offer younger scholars and early career researchers significant opportunities: this short paper sets out the initial framework for a current research project focussing on university publishing, then it refers to the two above seminars in order to conclude with some critical issues for academic practice, research and for early career scholars.

A Study on Payment Willingness and Influencing Factors of Elderly People under the Home Community Elderly Care Model

The aging situation in our country is severe, and the aging process is accelerating. It is expected that by 2040, the proportion of elderly people aged 65 and above will reach 20% of the total population in the country. The number of elderly people is growing at a rate of 5% every year, and the proportion of elderly care will reach about 28%. The pressure of elderly care is heavy. And with the change of Chinese people's health concepts, the social family model is increasingly inclined towards miniaturization, and the living standards are constantly improving, which has put forward more diverse demands for the functions and operation of the new elderly care service model. This article takes elderly people aged 60 and above as the research object, adopts field research method, starts from the willingness of elderly people to pay for home-based community elderly care services, further understands the current situation of home-based community elderly care service models, and finally analyzes the questionnaire results and interview content, discusses the factors affecting the overall willingness to pay of elderly people, hoping to provide scientific basis for the pricing of current home-based community elderly care service projects.

P174 Identifying patterns of fatigue across flares in patients with axial spondyloarthritis

Abstract Background/Aims Fatigue is a common and debilitating symptom of axial spondyloarthritis and has a significant negative impact on quality of life for these patients. Previous qualitative and quantitative research indicates that fatigue significantly worsens during flares. There remains uncertainty around the quality and intensity of fatigue before a flare compared with during and after. This understanding could help in diminishing the unpredictability of flares and fatigue which has been identified as a key issue for patients and may aid self-management. The main aim of the current analysis was to determine whether there would be any significant differences in the distribution of fatigue scores depending on patients’ self-reported flare status. Methods The current project involved secondary analysis of patient data collected through the Royal National Hospital for Rheumatic Diseases. A Kruskal Wallis test was conducted utilising anonymised Project Nightingale data from 286 patients collected via a mobile app. Data from a single time point for each patient were analysed. Fatigue was measured via responses to a 5-point scale. Patients’ data were organised into five categories depending on their self-reported flare status. This included flare started, flare continued, flare stopped and no flare. A fifth group was created where patients had reported their fatigue scores the day before a flare started. Results 43% percent of patients were female and 57% percent were male. There was at least one significant difference in rank totals between categories, H (4, n = 286) = 48.38, p < .001. Dunn’s post hoc tests were subsequently performed with Bonferroni adjusted p values for pairwise comparisons and are displayed in the table below. Fatigue was significantly higher in the flare continued category than in the no flare (p <.001), day before flare started (p = .008) and the flare stopped categories (p = .028). Inspection of medians and interquartile ranges suggested that fatigue appeared to be slightly higher the day before a flare started compared with no flare, however there were no other statistically significant differences between categories. Conclusion The results indicate that fatigue was highest during the middle of a flare as opposed to the start or end of a flare or the day before a flare. Future studies could include data at more time points including prior to, during and after flares. As previous literature implies that there may be two types of flare associated with different levels of fatigue, future studies could compare levels of fatigue between patients within these subgroups. This research could facilitate the refinement of interventions with the aim of minimising the unpredictability and impact of fatigue in axSpA patients. Disclosure S. Patel: None. R. Barnett: None. C. Cavill: None. R. Sengupta: Honoraria; R.S. has received honoraria from Abbvie, Biogen, BMS, Eli Lilly, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this abstract.

Probing the digital exposome: associations of social media use patterns with youth mental health

Recently, the U.S. Surgeon General issued an advisory highlighting the lack of knowledge about the safety of ubiquitous social media use on adolescent mental health. For many youths, social media use can become excessive and can contribute to frequent exposure to adverse peer interactions (e.g., cyberbullying, and hate speech). Nonetheless, social media use is complex, and although there are clear challenges, it also can create critical new avenues for connection, particularly among marginalized youth. In the current project, we leverage a large nationally diverse sample of adolescents from the Adolescent Brain Cognitive Development (ABCD) Study assessed between 2019–2020 (N = 10,147, Mage = 12.0, 48% assigned female at birth, 20% Black, 20% Hispanic) to test the associations between specific facets of adolescent social media use (e.g., type of apps used, time spent, addictive patterns of use) and overall mental health. Specifically, a data-driven exposome-wide association was applied to generate digital exposomic risk scores that aggregate the cumulative burden of digital risk exposure. This included general usage, cyberbullying, having secret accounts, problematic/addictive use behavior, and other factors. In validation models, digital exposomic risk explained substantial variance in general child-reported psychopathology, and a history of suicide attempt, over and above sociodemographics, non-social screentime, and non-digital adversity (e.g., abuse, poverty). Furthermore, differences in digital exposomic scores also shed insight into mental health disparities, among youth of color and sexual and gender minority youth. Our work using a data-driven approach supports the notion that digital exposures, in particular social media use, contribute to the mental health burden of US adolescents.

Visualizing the Influence of New Public Transport Infrastructure on Travel Times

Due to the global climate change and increasing traffic volumes in cities, a shift from individual to public and multimodal transport is aspired. Travel time is one of the most important aspects for many people when choosing their mode of transportation. This leads to the requirement that changes in travel times have to be considered when planning new public transport infrastructure. This research paper presents and compares different techniques for visualizing the impact of new lines in existing public transport networks on travel times. The general approach of simulating timetable data and calculating intermodal travel times considering public transport and walking is being applied to two current infrastructure projects in the city of Bonn and the surrounding region. The created maps generally aim to visualize the spread in travel times between existing and extended transportation networks discretized by different spatial units such as rectangles or postal code areas. In comparison to other common methods which typically require two maps for two different scenarios (e.g. in case of isochrones), our approach gives the opportunity to combine all relevant information within one map. It is also shown how to apply bivariate choropleth maps for displaying travel times and how to visualize improvements in the accessibility of multiple target points of interest at once.

A Workshop in Styles of Qualitative Writing and Reporting

This article outlines the author’s workshop in Styles of Qualitative Writing and Reporting, an in-person and online course commissioned by the qualitative research consulting and professional development organization, ResearchTalk. The six clock hour offering provides in-service professionals and graduate student participants writing experiences with up to nine different styles of qualitative reportage: Descriptive and Realistic, Analytic and Formal, Interpretive, Confessional, Reflexive, Critical and Advocacy, Literary Narrative, Autoethnographic, and Poetic. Participants receive an overview of each style, accompanied with brief examples from the scholarly literature. Ten to 15-min blocks of writing time are provided throughout for writers to document and experiment with a current research project’s manuscript, an unpublished thesis or dissertation, or a data base awaiting analytic review. Reading aloud and receiving peer feedback provide writers rapid assessment of their work in progress with ideas for further development. The article describes the primary content of each writing module and its accompanying writing prompts and feedback frame. The workshop also discusses recommended titles for writing resources, strategies for maintaining effective writing habits, and reflections on the legacy of a writer’s work. This article is structured as a curriculum design for other facilitators and educators to adapt and utilize with their students.

Adaptive Mechanism for Water and Wastewater Construction Companies in Coping with the Disruption of Projects Due to Crisis

The water and wastewater construction company (WWCC) plays an important role maintaining water sustainability for human. It is a very intricate industry vulnerable to disruptions, delays, and disputes in times of crisis or pandemic. It is a system that has internal interactions on its 5Ms of management such as Man, Material, Machine, Method, and Money that are sensitive to change affected by external environment which in turn affected their current projects. One of the external factors that affected WWCC in the year 2020 is the occurrence of coronavirus covid19. During the pandemic, the global construction industry including WWCC have experienced drastically altered risk environment applied to funding, labor shortages, material delays, suspension, and termination of contracts (Barriere 2020). The pandemic has affected WWCC’s 5Ms of management that ranges that eventually affected the triple constraints of projects such as scope, time, and cost. The study has determined the level of severity of the effect before and during covid19 to WWCC’s 5Ms of management that eventually affected the three interdependent constraints of projects. The data gathered before and during covid19 were compared and ultimately utilized in formulating the adaptive mechanism for WWCC in coping with the disruption of projects during crisis. The adaptive mechanism comprises of the precontemplation and contemplation phases. During pandemic, WWCC has to determine if there is a need for change in their organization. They have to adapt through precontemplation through internal and external scanning and situational analysis in order for them to comprehend and adapt to the change. WWCC upon realizing of the needed change, has to continue with the contemplation stage by utilizing the stop, start and continue (SSC) principle. To be more precise with the implementation of change, WWCC has to exercise pause, focus and identify prior to executing the SSC principle, followed by implementation, action, and maintenance.

Evaluation of Probable Maximum Precipitation (PMP) for West Virginia to Predict Current and Future PMP

Probable maximum precipitation (PMP) is essential for dam design criteria. West Virginia Department of Environmental Protection Dam Safety utilizes the 6-hr, 10-mi2 (26-km2) PMP established by Hydrometeorological Report 51 based on the analysis of extreme rainfall. These PMP are outdated because there have been unaccounted for extreme rainfall events that have occurred since 1978. In addition, a zone of uncertainty around the Appalachian Mountains exists, including West Virginia (WV). The objective of this research was to determine the PMP throughout WV by studying the area of uncertainty and consider rising dew points to predict future PMP. This study created an updated PMP map of WV, focusing on the maximization of the 1942 Smethport, PA storm. A watershed-specific analysis was conducted at all dams in the state with an approximate watershed area of 10-mi2 (26-km2). Current PMP estimations and projections for 2100 were determined. Iso-lines were determined to develop the new updated PMP map for WV that displays current and future PMP estimations. Results suggest that the greatest values of PMP occur in the western region of the state; lowest values of PMP occur in the south-eastern part of the state. The Smethport, PA storm (1942) was considered the governing storm for the entire state; however, it may not apply to the eastern panhandle and Potomac highlands. These regions should be considered for additional analysis. The updated PMP map will be a resource for those involved in dam inspection, repair, design, and modification.

Stochastic optimization framework for hybridization of existing offshore wind farms with wave energy and floating photovoltaic systems

Due to the complementarity of renewable energy sources, there has been a focus on technology hybridization in recent years. In the area of hybrid offshore power plants, the current research projects mostly focus on the combinational implementation of wind, solar, and wave energy technologies. Accordingly, considering the already existing offshore wind farms, there is the potential for the implementation of hybrid power plants by adding wave energy converters and floating photovoltaics. In this work, a stochastic sizing model is developed for the hybridization of existing offshore wind farms using wave energy converters and floating photovoltaics considering the export cable capacity limitation. The problem is modeled from an investor perspective to maximize the economic profits of the hybridization, while the costs and revenues regarding the existing units and the export cable are excluded. Furthermore, to tackle the uncertainties of renewable energy generation, as well as the energy price, a scenario generation method based on copula theory is proposed to consider the dependency structure between the different random variables. Altogether, the hybridization study is modeled in a mixed integer linear programming optimization framework considering the net present value of the project as the objective function. The results showed that hybrid-sources-based energy generation provided the highest economic profit in the studied cases in the different geographical locations. Furthermore, the technical specifications of the farms have also been considerably improved providing more stable energy generation, guaranteeing a minimum level of power in a high share of the time, and with a better utilization of the capacity of the cable while the curtailment of energy is maintained within the acceptable range.

Increased anxiolytic effect in aged female rats and increased motoric behavior in aged male rats to acute alcohol administration: Comparison to younger animals

The population of most countries in the world is increasing and understanding risk factors that can influence the health of the older population is critical. Older adults consume alcohol often in a risky, binge manner. Previous work has demonstrated that aged rats are more sensitive to many of the effects of acute ethanol. In the current project aged, adult, and adolescent female and male rats were tested on the elevated plus maze and open field following either a 1.0 g/kg alcohol injection or a saline injection. We report sex- and age-dependent effects whereas aged female rats, but not aged male rats, showed an increased anxiolytic effect of alcohol in the elevated plus maze while aged male rats, but not aged female rats, showed increased stimulatory movement in the open field. In addition, significant age effects were found for both female and male rats. It is proposed that the sex- and age-dependent effects reported in the current studies may be due to differential levels of alcohol-induced allopregnanolone for the anxiolytic effects and differential levels of alcohol-induced dopamine for the stimulatory effects. The current work provides insights into factors influencing alcohol consumption in older adults.

Undersea cables in Africa: The new frontiers of digital colonialism

The Internet has become the backbone of the social fabric. The United Nations Human Rights Council declared access to the Internet a fundamental human right over a decade ago. Yet, Africa remains the region with the widest Digital Divide where most of the population is either sparsely connected or has no access to the Internet. This has in turn created a race amongst Western big tech corporations scrambling to “bridge the Digital Divide”. Although the Internet is often portrayed as something that resides in the “cloud”, it heavily depends on physical infrastructure, including undersea cables. In this paper, we examine how current undersea cable projects and Internet infrastructure, owned, controlled, and managed by private Western big tech corporation, often using the “bridging the Digital Divide” rhetoric, not only replicates colonial logic but also follows the same infrastructural path laid during the trans-Atlantic slave trade era. Despite its significant impact on the continent’s digital infrastructure, we find publicly available information is scarce and undersea cable projects are carried out with no oversight and little transparency. We review historical evolution of the Internet, and detail and track the development of undersea cables in Africa, and illustrate its tight connection with colonial legacies. We provide an in-depth analysis of two current major undersea cable undertakings across the continent: Google’s Equiano and Meta’s 2Africa. Using Google and Meta’s undersea cables as case studies, we illustrate how these projects follow colonial logic, create a new cost model that keep African nations under perpetual debt, and serve as infrastructure for mass data harvesting while bringing little benefit to the Global South. We conclude with actionable recommendations for and demands from big tech corporations, regulatory bodies, and governments across the African continent.

Survey of research attitudes of RTTs working in Scotland: A Scottish radiographer research forum collaboration

PurposeEvidence-based practice (EBP) is associated with improved treatment outcomes and survival in cancer patients. Engagement from therapeutic radiographers/radiation therapists (RTTs) in research, has been identified as a challenge. The aim of this survey was to gain an understanding of RTT attitudes to research in Scotland. MethodsThis was a prospective study that used a mixed method cross-sectional survey, with an online survey tool (Webropol). The survey was developed with collaborators from all Scottish Radiotherapy Centres (n = 5) and piloted by 6 conveniently sampled RTT and validated by 8 experienced RTTs. The survey comprised 29 items, 7 selection-based demographic questions, and 18 statements with a Likert 5-point metric scale rating (1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree). The validity was measured with the content validity index (CVI) and item-CVI by 8 experienced RTTs. Low scoring I-CVI (<0.78) questions were removed.A total of 314 RTTs working in Scottish Radiotherapy Centres were invited to participate. Approvals were given by each Head of department (HoD), who also confirmed number of RTTs. ResultsA total of 102/314 (32.5 %) RTTs responded. The majority of RTTs agreed they were confident they had sufficient research skills to inform EBP (n = 58/102, 56.9 %), felt confident discussing EBP with colleagues (n = 67, 65.7 %) and felt research was important for role development (n = 89, 87.2 %). Low mean scores and standard deviation (SD) were observed for the following: “I know how to get involved in research” 3.2 (1.2), “I have been given the opportunity to get involved in research” 3.2 (1.1), and “I am well informed about current research projects in my department” 3.2 (1.1). 57.8 % (n = 59) of RTTs disagreed they were confident adequate time would be provided to be involved in research. ConclusionThe survey results demonstrated a predominantly positive attitude to research amongst RTTs working in Scottish centres, with most common perceived barriers being access to protected time and staff; training, and support.

‘The toys you sleep with’: Embracing otherwise literacies in early childhood wor(l)ds

Early childhood literacy is pervaded by dominant discourses telling children both what to say, how to say it, and what is worthy of adults' attention. These discourses are affected by the need to constantly see language through solely representational accounts, and children as still progressing, developing and becoming literate while excluding the strong presence of more-than-humans and the diverse ways of being child. However, the field of posthuman studies has introduced other perspectives on literacy that are neither solely exclusive to humans nor solely representational or intentional. They trouble the dominant frames of literacy that can serve to diminish children, especially those from minority groups. Building on this framework, we propose to address how otherwise literacies are created among children and objects, such as toys. Our data come from a current research project being developed in a school in Seville (Spain). The children in our research are 4 to 5 years old and come from different socio-cultural backgrounds. In our research, our data are written as a vignette which describes different affective encounters in a classroom. These encounters are part of an action that required children to bring from home a treasure box with cherished elements inside. We diffract these data through theories of affect to consider what otherwise synergies emerge between children and toys and what we can learn about literacy through them. We claim that the toys you sleep with bring otherwise (political) ways of being and becoming through literacies embedded in more-than-wor(l)ds. They recall how literacy practices involve objects that affect (with) us in unpredictable and not easy to describe ways, but that are essential to consider more justice-oriented practices.