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This thesis develops and evaluates a Random Forest (RF) machine learning classification framework for detecting clear-cut forest felling events using Sentinel-2 multispectral satellite data. While RF classification is widely applied in forest monitoring, its performance for operational clear-cut detection in Latvian semi-boreal forests remains insufficiently studied. This study aims to assess the

Public procurement has the potential to serve as a strategic driver for circular economy implementation and urban sustainability transitions. Purpose: This study explores how municipalities incorporate circular requirements into construction project procurement processes. The aim is to identify practical strategies that support circular implementation in construction projects. Methodology: Using a

Horizontal collaboration in municipalities is increasingly promoted as a means to foster innovation in circular construction through circular public procurement (CPP), yet the diffusion of such practices remains uneven. Drawing on a qualitative study of Swedish municipalities, this paper explores how municipalities collaborate horizontally to address the challenges associated with implementing CPP

Natural polymers are promising sustainable materials for diverse applications. Xylans, major components of hemicellulose, exhibit origin-dependent substitution patterns that determine their physicochemical properties. Targeted enzymatic modification of these substituents offers a mild and precise approach for tailoring the polymer's characteristics. Glucuronidases (EC 3.2.1.139) and xylan α-1,2-gl

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Until recently, only certifications for new buildings were available, but over recent years, a growing interest in certifying buildings in operation has emerged. These certifications focus on aspects like the indoor environment, occupant well-being and climate impact and seek to enhance the environmental performance of buildings through effective operation and management. This study aimed to ident

Research in the field of historical demography and related areas have in recent decades made increasing use of longitudinal population databases. This research has mainly focused on rural populations before 1900. This book belongs to a movement that seeks to bridge the gap in historical demography by adding urban populations from the twentieth century. The book is made up of individual chapters re

Background: Intracerebral hemorrhage (ICH) survivors are at increased risk of major adverse cardiovascular and cerebrovascular events (MACE) compared with population controls; however, little is known about the annual rates and risk factors for MACE. Methods: We searched Medline, Embase, and trial registries systematically in April 2024 for studies of adults with ICH, reporting either a MACE compo

The ability to interpret and comprehend a 3D scene is essential for many vision and robotics systems. In numerous applications, this involves 3D object detection, i.e. identifying the location and dimensions of objects belonging to a specific category, typically represented as bounding boxes. This has traditionally been solved by training to detect a fixed set of categories, which limits its use.

Monocular depth estimation (MDE) models have undergone significant advancements over recent years. Many MDE models aim to predict affine-invariant relative depth from monocular images, while recent developments in large-scale training and vision foundation models enable reasonable estimation of metric (absolute) depth. However, effectively leveraging these predictions for geometric vision tasks, i

Objective To explore the effects of immediate parent–infant skin-to-skin contact (iSSC) at very preterm birth on maternal–infant behavioural responses and hypothalamic–pituitary–adrenal (HPA) axis reactivity to age-appropriate socio-emotional stress at 4months corrected age. Design Two secondary outcomes from a multicentre randomised controlled trial with two non-blinded parallel groups. Setting T

Line segments are powerful features complementary to points. They offer structural cues, robust to drastic viewpoint and illumination changes, and can be present even in texture-less areas. However, describing and matching them is more challenging compared to points due to partial occlusions, lack of texture, or repetitiveness. This paper introduces a new matching paradigm, where points, lines, an

In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The