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The assessment of sunlight access in buildings is constrained by methods that rely on simplified point-based evaluation. EN 17037 sunlight exposure evaluates sunlight at a single point on the aperture under restricted temporal conditions. This limits the representation of how sunlight interacts with the aperture over time. These characteristics reduce its applicability at early design stages. The
This project investigates the barriers and opportunities of institutionalizing wellbeing metrics by examining how actors across different scales understand and use wellbeing data generated through the Nova Scotia Quality of Life (NSQoL) Survey. The NSQoL Survey is administered by a non-profit organization, Engage Nova Scotia, and includes 200+ questions measuring a broad range of wellbeing dimensi
In a context where scientific communication is caught be-tween the for-profit motives of large publishers and the need for democratized knowledge, the journal Ecosistemas reaffirms its commitment to a publication model that is, above all, by the scientific community and for the scientific community. We are not only consolidating our vision, but also taking firm steps toward a new stage of mod
Financial markets exhibit time-varying volatility and cross-asset correlation. To construct and optimize a risk-adjusted portfolio and account for underlying collinearity between se- curities, a good understanding of these two dynamics is important. In this study global equity indices are modeled with the purpose of improving the forecasting accuracy of time-varying correlations, as well as distin
From Concepts to Action: Building on the foundational work of our 2025 workshop, this second edition shifts from exploring what sustainability means in HRI to producing actionable outcomes for the community. Last year, we identified strong but often unacknowledged engagement with social and environmental sustainability, alongside gaps in shared language and practical frameworks. This year, we focu
Externally bonded reinforcement (EBR) was used to increase load bearing capacity of light weight aggregate concrete (LWA) masonry walls subjected to eccentric axial compression. Ladder type masonry reinforcement, high strength steel wire strips and glass fiber mesh were used for strengthening of eleven, 2.4 m high, 0.5 m long and 0.1 m thick walls. The reinforcement was applied on the dry wall sur
The ability to generate and control movement is essential for human interactions and overall well-being. Neuromuscular impairment caused by neurological injuries and diseases, such as stroke or limb amputation, severely limits the ability of affected individuals to interact with the surrounding environment, necessitating advanced strategies for rehabilitation and restoration of motor function. Vol
Although political governance guides education and research, there are options for researchers, educators and curators to act in the spirit of academic freedom. The deontological ethical guidelines stabilize the archaeological establishment no matter what kind of work. The utilitarian dimensions within archaeological research and higher education open up for critical thinking.Twisting and turning,
We introduce a novel method for extracting a fragmentation model directly from experimental data without requiring an explicit parametric form, called Histories and Observables for Monte-Carlo Event Reweighting (HOMER), consisting of three steps: the training of a classifier between simulation and data, the inference of single fragmentation weights, and the calculation of the weight for the full h
Indoor sensing is challenging because of the multi-bounce effect, spherical wavefront, and spatial nonstationarity (SNS) of the near-field effect. This paper addresses radio-based environment sensing considering these issues. Specifically, graph theory (GT) is used to model the multi-bounce propagation of the near field. In this manner, indoor reflectors/scatterers are modeled as vertices in a pro
Losses and damages from climate change are not just a future risk but already a present reality, and “Loss and Damage” (L&D) as a policy domain has been formalised under the United Nations Framework Convention on Climate Change (UNFCCC), alongside mitigation and adaptation. While climate services currently provide strong support for adaptation and disaster recovery, here we propose that an exp
The revised Payment Services Directive (PSD2) is reshaping traditional banking by requiring banks to grant licensed third-party providers (TPPs) access to customer data. This paper explores PSD2’s impact on Fintech market entry, assessing both opportunities and ongoing structural barriers. Through a qualitative investigation, it identifies key barriers such as API standardization gaps, data access
Perceiving and understanding human motion is a fundamental problem in computer vision, with diverse applications encompassing sports analytics, healthcare monitoring, entertainment, and intelligent interactive systems. Multi-camera systems, by capturing multiple viewpoints simultaneously, enable robust tracking and reconstruction of human poses in 3D, overcoming limitations of single-view approach
Market-based climate policies have received increased attention, making it important to understand how they affect competition in the electricity market. This paper focuses on the green certificate policy which financially supports producers of renewably sourced electricity by means of tradable certificates, and develops a duopoly model that incorporates both the electricity and the green certific
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers using finite Youla parameterizations and convex optimization. We propose to compute inner products of stable, strictly proper systems via solving Sylvester equations. The properties of different state space realizations of Laguerre filters, when performing Ritz expansions of the optimal controller are
Parallel-elastic joints can improve the efficiency and strength of robots by assisting the actuators with additional torques. For these benefits to be realized, a spring needs to be carefully designed. However, designing robots is an iterative and tedious process, often relying on intuition and heuristics. We introduce a design optimization framework that allows us to co-optimize a parallel elasti
