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Calculation of the climate impact of buildings is becoming increasingly prevalent. In this context, understanding the comprehensive environmental impact of buildings, including fire risk, is crucial. This study investigates a method to incorporate the impact of fire risk on the climate footprint of buildings using Life Cycle Analysis (LCA). The paper focuses on several building types: single-famil
The Period genes (Per) play essential roles in modulating the molecular circadian clock timing in a broad range of species, which regulates the physiological and cellular rhythms through the transcription-translation feedback loop. While the Period gene paralogs are widely observed among vertebrates, the evolutionary history and the functional diversification of Per genes across vertebrates are no
This master’s thesis has examined the feasibility of an accumulator-based actuation method for the BorgWarner (BW) electric torque vectoring and disconnect (eTVD) system. The requirements for the proposed concepts were defined based on the performance of the baseline eTVD and served as reference criteria throughout the development process. A strong emphasis was placed on reducing system complexit
Acute intracranial pressure spikes from bleeding or CSF obstructions are life-threatening, yet current intensive care relies on manual, periodic adjustments of external ventricular drains (EVDs). This time-consuming process risks severe under- or over-drainage due to varying drainage rates, highlighting the need for an automatic, volume-centered solution. This project demonstrates an automated sys
As the first domestic species, dogs likely dispersed with different cultural groups during the Late Pleistocene and Holocene. To test this hypothesis, we analyzed 73 ancient dog genomes, including 17 newly sequenced individuals sampled from East Asia to the West Eurasian Steppe spanning nearly 10,000 years. Our results indicate correlations between the ancestry of dogs and specific ancient human p
This thesis investigates the applicability of using machine learning for demand forecasting at HMS Networks. Using the design science research methodology, multiple forecasting artifacts were developed and tested iteratively, using historical sales data. Four tree-based models; Decision Tree, Random Forest, LightGBM and XGBoost, were tested with different pre-processing and feature engineering tec
Wind generation’s growing share of Nordic electricity supply has made imbalance settlement an increasingly costly exposure for producers. Under the Nordic single-price mechanism, all residual imbalance is settled at a single imbalance price, regardless of direction, determined by the mFRR activation market. Before that price is known, the producer fixes a day-ahead position, adjusts on the continu
Background: Supply Chain Planning (SCP) is a business process that aligns supply and demand across procurement, production, distribution, and sales to improve customer service levels and reduce costs, while including multiple planning horizons (strategic, tactical, operational). Integrated Business Planning (IBP) serves as a framework that connects these horizons. By progressing through IBP maturi
A classical and central problem in the theory of water waves is to classify parameter regimes for which non-trivial solitary waves exist. In the two-dimensional, irrotational, pure gravity case, the Froude number Fr (a non-dimensional wave speed) plays the central role. So far, the best analytical result Fr < √2 was obtained by Starr (1947 J. Mar. Res., vol. 6, pp. 175–193), while the numerical ev
We present a general technique for efficient computation of second order information for optimization functionals involving many variables of different nature, frequently appearing in modern applications. This technique relies on the bilinear Hessian, and while the main tools for this task have been published elsewhere, we here focus on the problem of how to organize the computations in the multi-
Greenhouse gases and light-absorbing particles in the atmosphere, including soot, play a key role in climate change. To understand the effect such small particles have on the climate, we first need to understand how they form and how they behave. Soot particles are produced from incomplete combustion processes of hydrocarbons, forming a mixture of graphitic and amorphous structures instead of carb
At Oak Ridge National Laboratory (ORNL), where the High Flux Isotope Reactor (HFIR) GP-SANS beamline is located, an experiment searching for the neutron Transition Magnetic Moment (nTMM) was conducted. This experiment is dependent on the magnetic field homogeneity and requires a magnetic field scanning precision of at least 4 μT. A previous experiment performed at the same facility used powerful m
This study investigates the association between individual-level characteristics and the risk ofhaving an unmet need for contraception in the United States between 2002 and 2017 for womenwho were sexually active, not pregnant or postpartum, fecund, and wanted no more children.Using data from the National Survey of Family Growth, logistic regression models are used toestimate the association betwee
Continuous non-invasive monitoring of respiratory rate in laboratory mice can support research across drug efficacy, sleep, and stress and pain assessment. Established respiratory rate estimation methods exist but many conflict with the 3Rs principle through invasiveness, motion restriction, or animal stress. A cross-method comparison between two non-invasive systems on the same freely-moving anim
Bakgrund: Arbetsrelaterad stress inom somatisk akutsjukvård påverkar sjuksköterskors förmåga att upprätthålla patientsäkerheten i en miljö präglad av hög arbetsbelastning, tids- och resursbrist samt oförutsägbarhet. Syfte: Att belysa hur sjuksköterskor upprätthåller patientsäkerheten vid arbetsrelaterad stress inom somatisk akutsjukvård. Metod: Sex semistrukturerade intervjuer genomfördes med legi
In this paper, a new framework – RoadRAT - for analyzing the probability of inundation, wave runup, and erosion is applied within the context of risk management for coastal roads. The analysis focus on a case study in south Sweden and consists of risk identification, calculation of probability, and discussion of consequences and mitigation methods. The results show that future risks are highly dep
This study investigates coupled reduced-order modeling to develop efficient methods for analyzing the vibro-acoustic response of geometrically nonlinear thin structures interacting with acoustic fluids, such as gas or liquid. Projection-based model reduction is adopted for the structural and fluid domain. To consider geometric nonlinearity, the reduced nonlinear restoring forces of the elastic str
The expansion of the European Union's (EU) regulatory sphere creates conflicts of sovereignty between the EU and its member states, and third countries that lack a possibility to participate in the making of those laws and policies. The conflict is epitomised in the concept of the Union's decision-making autonomy. Albeit stringently applied, the concept is ambiguous and undefined. This article end
An essential capability in modern electronic warfare is the ability to rapidly adapt to novel electromagnetic environments. This thesis proposes a statistical signal processing pipeline that reconstructs underlying repeating patterns from deinterleaved Signal Descriptor Word (SDW) sequences in a zero-shot context, where a signal is encountered for the first time. An important application of such a
