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Computational technology opens new possibilities toward understanding the complexity of the human brain, but it requires integrating measurements from different modalities and scales in an anatomical context and exposing them in an interoperable, actionable form. Especially with growing big data resources, accessing information from different scales and modalities coherently for visual exploration, reproducible analysis and application development remains challenging. [...]

Objective: Sleep health and depression are interconnected multidimensional constructs, yet their shared determinants remain obscure. Understanding the role of socioeconomic/lifestyle factors in predicting sleep-related depression (SRD) is critical for preventive strategies. [...]

Modern scientific workflows increasingly span diverse computing architectures, yet executing a single computational model across disparate systems often forces researchers to maintain fragmented, site-specific pipelines. In this paper, we address this challenge within the domain of computational neuroscience by presenting a unified, cloud-based workflow orchestrated via EBRAINS JupyterLab. [...]

Solar-driven CO2 reduction to liquid fuels such as formate provides an attractive solution for renewable energy storage. This paper investigates the application of an electrochemical (EC) cell for CO2 reduction directly coupled to a photovoltaic (PV) module, which enables early-stage, long-term storage of solar energy through a waste-to-value pathway [...]