8,983 research outputs found
Research-to-Policy Partnerships for Evidence-Informed Resource Allocation in Health Systems in Africa: An Example Using the Thanzi Programme
Objectives: Empirical data on the impact of research-to-policy interventions are scant, with the few attempts mainly focusing on ensuring policymakers’ timely access to evidence and evidence-informed dialogs. Methods: This article reflects on how the Thanzi Programme cultivates an approach of research-to-policy engagement in health economics. The program is structured around 3 interrelated pillars comprising research evidence generation, capacity and capability building, and research-and-policy engagement. Each pillar is described and examples from the Thanzi Programme are given, including illustrating how each pillar informs the other. Limitations and challenges of the approach are discussed, with examples of a way forward. Results: This program supports health system strengthening through addressing gaps identified by program partners. This includes providing health economics training and research and strengthened partnerships between in-country researchers and health policymakers, as well as between national and international researchers. Platforms bringing together researchers and policymakers to shape the research agenda, disseminate evidence, and foster an evidence-based dialog are institutionalized at country and regional levels. Health Economics and Policy Units have been established, which sit between the Ministries of Health and Universities, to augment policymakers and health economics researchers’ engagements on priority health policy matters and determine researchable policy questions. The establishment of the Health Economics Community of Practice as a substantive expert committee under the East Central and Southern Africa Health Community bolsters the contribution of health economics evidence in policy processes at the regional level. Conclusions: The Thanzi Programme is an example of how a research-and-policy partnership framework is being used to support evidence-informed health resource allocation decisions in Africa. It uses a combination of high-quality multidisciplinary research, sustained research and policymakers’ engagement and capacity strengthening to use research evidence to guide and support policy makers more effectively. Keywords: capacity building, health economics, knowledge translation, north-south partnership, research-to-policy engagement
Training multi-layer spiking neural networks with plastic synaptic weights and delays
Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how to efficiently train the spiking neural networks remains an open question, and most existing learning methods only consider the plasticity of synaptic weights. In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method. In the proposed method, both the synaptic weights and delays are considered as adjustable parameters to improve both the biological plausibility and the learning performance. In addition, the proposed method inherits the advantages of SpikeProp, which can make full use of the temporal information of spikes. Various experiments are conducted to verify the performance of the proposed method, and the results demonstrate that the proposed method achieves a competitive learning performance compared with the existing related works. Finally, the differences between the proposed method and the existing mainstream multi-layer training algorithms are discussed
Information actors beyond modernity and coloniality in times of climate change:A comparative design ethnography on the making of monitors for sustainable futures in Curaçao and Amsterdam, between 2019-2022
In his dissertation, Mr. Goilo developed a cutting-edge theoretical framework for an Anthropology of Information. This study compares information in the context of modernity in Amsterdam and coloniality in Curaçao through the making process of monitors and develops five ways to understand how information can act towards sustainable futures. The research also discusses how the two contexts, that is modernity and coloniality, have been in informational symbiosis for centuries which is producing negative informational side effects within the age of the Anthropocene. By exploring the modernity-coloniality symbiosis of information, the author explains how scholars, policymakers, and data-analysts can act through historical and structural roots of contemporary global inequities related to the production and distribution of information. Ultimately, the five theses propose conditions towards the collective production of knowledge towards a more sustainable planet
With the Participatory Consumer Audience in mind: exploring and developing professional brand identity designers reflexive practice
This PhD reflects upon first-hand unidirectional and passive consumer audience experience approaches prevalent in professional UK brand identity design. It explores: How brand identity designers might move towards an improved reflexive practice in the design of consumer audience experiences. This practice-led research focuses on the ideas generation stage of their design process.
An ongoing constructivist audience paradigm shift signals that when thinking about and using their positionality in relation to their consumer audience experiences, designers need reflexive practice to support critical reflection of themselves, their biases and assumptions. This research uncovered a lack of relevant theory regarding reflexive practice specific to the context of brand identity design. This insufficiency throws into doubt designers' relational, participatory and equitable approaches in their working practices and their abilities to address market imperatives, including client requirements connected to the ongoing audience paradigm shift.
Aligned with John Dewey's ethical pragmatism and drawing from Creswell, Tashakkori and Teddlie, my study adopts a mixed methods methodology. Alongside established qualitative and quantitative methods, this includes my practice via design visualisations, as discussed by Drucker, and builds upon Carl DiSalvo's approach of practice used to do inquiry and design as a method of inquiry. My practice enabled me to critically reflect, evaluate and construct reflexive practice knowledge, including the development of reflexive practice communications, to advance understanding of and improve other designers' reflexive practice, and to communicate my process of reflexive design practice research.
Thirty UK-based professional brand identity designers participated in this research: nineteen participants in Phase One, a questionnaire, and six in Phase Two semi-structured interviews. Phase One and Two findings identified a gap in that designers are not employing a reflexive design practice and lack the resources to do so. Seeking to improve these shortcomings, eighteen initial reflexive design practice principles were explored and tested in Phase Three, a workshop involving five design participants. Results showed that the principles facilitated participants to advance prior thinking and engage in a reflexive design practice.
Further reflections and insights from the same five Phase Three participants uncovered a need to refine and reduce the principles and communicate them in a guide. Eight revised overarching and eighteen sub-principles in a prototype guide were explored in Phase Four in applied practice by three brand identity designers involved in Phase Three. Results corroborated workshop findings and provided further recommendations.
Contributions of this research are three-fold. First, offering an advanced understanding of professional brand identity designers' reflexive practice and process knowledge. Second, it produced a reflexive design guide with eight overarching and eighteen sub-reflexive design principles and corresponding digital app, thereby offering a preliminary new design practice method. This method offers a way to improve designers' thinking about and operation of their relational positionality, participatory consumer audience experience approaches, and reflexive design practice actions. Third, it provides a contribution to knowledge via its methodology, which integrates design visualisation practice into a mixed methods approach
Implementing precision methods in personalizing psychological therapies: barriers and possible ways forward
This is the final version. Available on open access from Elsevier via the DOI in this recordData availability:
No data was used for the research described in the article.Highlights:
• Personalizing psychological treatments means to customize treatment for individuals to enhance outcomes.
• The application of precision methods to clinical psychology has led to data-driven psychological therapies.
• Applying data-informed psychological therapies involves clinical, technical, statistical, and contextual aspects
Resource-aware scheduling for 2D/3D multi-/many-core processor-memory systems
This dissertation addresses the complexities of 2D/3D multi-/many-core processor-memory systems, focusing on two key areas: enhancing timing predictability in real-time multi-core processors and optimizing performance within thermal constraints. The integration of an increasing number of transistors into compact chip designs, while boosting computational capacity, presents challenges in resource contention and thermal management. The first part of the thesis improves timing predictability. We enhance shared cache interference analysis for set-associative caches, advancing the calculation of Worst-Case Execution Time (WCET). This development enables accurate assessment of cache interference and the effectiveness of partitioned schedulers in real-world scenarios. We introduce TCPS, a novel task and cache-aware partitioned scheduler that optimizes cache partitioning based on task-specific WCET sensitivity, leading to improved schedulability and predictability. Our research explores various cache and scheduling configurations, providing insights into their performance trade-offs. The second part focuses on thermal management in 2D/3D many-core systems. Recognizing the limitations of Dynamic Voltage and Frequency Scaling (DVFS) in S-NUCA many-core processors, we propose synchronous thread migrations as a thermal management strategy. This approach culminates in the HotPotato scheduler, which balances performance and thermal safety. We also introduce 3D-TTP, a transient temperature-aware power budgeting strategy for 3D-stacked systems, reducing the need for Dynamic Thermal Management (DTM) activation. Finally, we present 3QUTM, a novel method for 3D-stacked systems that combines core DVFS and memory bank Low Power Modes with a learning algorithm, optimizing response times within thermal limits. This research contributes significantly to enhancing performance and thermal management in advanced processor-memory systems
Statistical analysis plan for a cluster randomised controlled trial to compare screening, feedback and intervention for child anxiety problems to usual school practice: identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i)
Background: The Identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i) trial is being conducted to establish whether ‘screening and intervention’, consisting of usual school practice plus a pathway comprising screening, feedback and a brief parent-led online intervention (OSI: Online Support and Intervention for child anxiety), bring clinical and health economic benefits compared to usual school practice and assessment only — ‘usual school practice’, for children aged 8–9 years in the following: (1) the ‘target population’, who initially screen positive for anxiety problems according to a two-item parent-report child anxiety questionnaire — iCATS-2, and (2) the ‘total population’, comprising all children in participating classes. This article describes the detailed statistical analysis plan for the trial. Methods and design: iCATS-i2i is a definitive, superiority, pragmatic, school-based cluster randomised controlled trial (with internal pilot), with two parallel groups. Schools are randomised 1:1 to receive either screening and intervention or usual school practice. This article describes the following: trial objectives and outcomes; statistical analysis principles, including detailed estimand information necessary for aligning trial objectives, conduct, analyses and interpretation when there are different analysis populations and outcome measures to be considered; and planned main analyses, sensitivity and additional analyses. Trial registration: ClinicalTrials.gov ISRCTN76119074. Registered on 4 January 202
Enhancing emotion regulation with an in situ socially assistive robot among LGBTQ+ youth with self-harm ideation: protocol for a randomised controlled trial
Introduction: Purrble, a socially assistive robot, was codesigned with children to support in situ emotion regulation. Preliminary evidence has found that LGBTQ+ youth are receptive to Purrble and find it to be an acceptable intervention to assist with emotion dysregulation and their experiences of self-harm. The present study is designed to evaluate the impact of access to Purrble among LGBTQ+ youth who have self-harmful thoughts, when compared with waitlist controls.Methods and analysis: The study is a single-blind, randomised control trial comparing access to the Purrble robot with waitlist control. A total of 168 LGBTQ+ youth aged 16–25 years with current self-harmful ideation will be recruited, all based within the UK. The primary outcome is emotion dysregulation (Difficulties with Emotion Regulation Scale-8) measured weekly across a 13-week period, including three pre-deployment timepoints. Secondary outcomes include self-harm (Self-Harm Questionnaire), anxiety (Generalised Anxiety Disorder-7) and depression (Patient Health Questionnaire-9). We will conduct analyses using linear mixed models to assess primary and secondary hypotheses. Intervention participants will have unlimited access to Purrble over the deployment period, which can be used as much or as little as they like. After all assessments, control participants will receive their Purrble, with all participants keeping the robot after the end of the study. After the study has ended, a subset of participants will be invited to participate in semistructured interviews to explore engagement and appropriation of Purrble, considering the young people’s own views of Purrble as an intervention device.Ethics and dissemination: Ethical approval was received from King’s College London (RESCM-22/23-34570). Findings will be disseminated in peer review open access journals and at academic conferences.Trial registration number NCT06025942
Comparative analysis of energy transfer mechanisms for neural implants
As neural implant technologies advance rapidly, a nuanced understanding of their powering mechanisms becomes indispensable, especially given the long-term biocompatibility risks like oxidative stress and inflammation, which can be aggravated by recurrent surgeries, including battery replacements. This review delves into a comprehensive analysis, starting with biocompatibility considerations for both energy storage units and transfer methods. The review focuses on four main mechanisms for powering neural implants: Electromagnetic, Acoustic, Optical, and Direct Connection to the Body. Among these, Electromagnetic Methods include techniques such as Near-Field Communication (RF). Acoustic methods using high-frequency ultrasound offer advantages in power transmission efficiency and multi-node interrogation capabilities. Optical methods, although still in early development, show promising energy transmission efficiencies using Near-Infrared (NIR) light while avoiding electromagnetic interference. Direct connections, while efficient, pose substantial safety risks, including infection and micromotion disturbances within neural tissue. The review employs key metrics such as specific absorption rate (SAR) and energy transfer efficiency for a nuanced evaluation of these methods. It also discusses recent innovations like the Sectored-Multi Ring Ultrasonic Transducer (S-MRUT), Stentrode, and Neural Dust. Ultimately, this review aims to help researchers, clinicians, and engineers better understand the challenges of and potentially create new solutions for powering neural implants
The use of proxies in designing for and with autistic children: supporting friendship as a case study
Participatory Design (PD) is an approach for designing new technologies which involves end users in the design process. It is generally accepted that involving users in the design process gives them a sense of ownership over the final product which enhances its usability and acceptance by the target population. Employing a PD approach can introduce multiple challenges especially when working with autistic children. Many approaches for involving autistic children and children with special needs were developed to address these challenges. However, these frameworks introduce their own limitations as well. There is an ethical dilemma to consider in the involvement of autistic children in the design process. Although we established the ethical benefit of involving children, we did not address the ethical issues that will result from involving them in these research projects. Among other issues, the nature of design workshops we as a community currently run require working with unfamiliar researchers and communicating with them while social and communication differences are one of the main diagnostic criteria for autism. When designing for autistic children and other vulnerable populations an alternative (or most often an additional) approach is designing with proxies. Proxies for the child can be one of several groups of other stakeholders, such as: teachers, parents and siblings. Each of these groups may inform the design process, from their particular perspective, and as proxies for the target group of autistic children. Decisions need to be made about what stages in the design process are suited to their participation, and the role they play in each case. For this reason, we explore the role of teachers, parents, autistic adults and neurotypical children as proxies in the design process.
To explore the roles of proxies we chose friendship between autistic and neurotypical children as the context we are designing for. We are interested in understanding the nature of children's friendships and the potential for technology to support them. Although children themselves are the ones who experience friendship and challenges around its development and peer interaction, they might find it difficult to articulate the challenges they face. Furthermore, it is unrealistic to expect children to identify strategies to help them overcome the challenges with friendship development that they are facing as it assumes children have the social skills to come up with these strategies in the first place. Hence, it is necessary in this context to consider proxies who can identify challenges and suggest ways to overcome them
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