This presentation presented 2 examples of analysing and visualisations of ClimateScan platform data. Analysing the open-source Change Adaptation Platform ClimateScan shows that surface bio filtration is the category with most uploads, which is the case in Riga (started green infrastructure around 2020) …

Aviation is indispensable for global transportation and economic growth. One promising solution to its environmental concerns is developing biofuels derived from oil seeds like Brasica carinate (B. carinata). Adopting responsible nitrogen application practices during the cultivation of B. carinata mitigate …

This article discusses results from an international contest, open for university student teams (bachelor and master), involving the design, construction, and testing of small wind turbines in a large wind tunnel. The wind tunnel has an outlet of 2.85 x 2.85 m allowing a maximum rotor swept area of 2 …

Background In a global effort to design better hospital buildings for people and organizations, some design principles are still surrounded by great mystery. The aim of this online study was to compare anxiety in an existing single-bed inpatient hospital room with three redesigns of this room in accordance …

If parents perceive the neighborhood as child friendly, they will allow their children more independent travel and play. Parental perception of child friendliness is therefore an important prerequisite for designing neighborhoods that promote children's health and wellbeing. However, there is currently …

To model individuals' experience of urban spaces, this study integrates knowledge from environmental psychology and artificial intelligence to propose a framework for individuals' perceptions and emotion by incorporating individual characteristics and cognitive appraisal together with environment attributes …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …

BACKGROUND: Previous research indicates the start of primary school (4-5-year-old) as an essential period for the development of children's physical activity (PA) patterns, as from this point, the age-related decline of PA is most often observed. During this period, young children are exposed to a wider …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …