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Occupations that are highly cognitive, non-physical, and low in social interaction - typically higher-skill white-collar roles such as data analysts, software developers, and translators - turn out to be highly AI-exposed • Occupations requiring manual dexterity or intensive interpersonal contact - such as construction labourers or nursing aides - remain among the least exposed to current AI techn
Wind-driven rain (WDR) is a key source of façade moisture risk. ISO 15927-3 estimates WDR using static wall-factor tables, limited in scope and unable to capture façade-specific geometry or sheltering. This study introduces a BIM‑native workflow that dynamically computes wall factor as a geometry‑derived exposure fraction, evaluated per façade cell via ray tracing and power‑law‑based cell‑level he
Background and Aim: Dysphagia is a common symptom which can be caused by several functional and organic conditions. The aim of the present retrospective study was to re-evaluate examinations from patients diagnosed with functional dysphagia/hypersensitive esophagus and to evaluate relationship between bolus arrest and symptoms/comorbidities. Methods: All elective radiological swallowing examinatio
Linear regression is a standard tool for numerical prediction, but there are several estimators to choose from, and this choice can greatly affect prediction accuracy. This thesis empirically explores how the out-of-sample predictive performance of ordinary least squares (OLS), ridge regression (Ridge), and the lasso (Lasso) is affected by varying key model conditions, given a baseline setting. Fo
This study tests whether the Ricardian Equivalence Hypothesis holds in Sweden when the private sector faces an intertemporal budget constraint skewed by the media narrative. Time series analysis of cointegrated vector autoregressive processes is utilized to identify Ricardian consumer behavior in three different models, in order to find differences in consumer behavior when media narrative bias is
The modified fighting hypothesis (MFH) proposes that most humans are right-handed because it conveyed an advantage during intraspecific fights with sharp weapons, due to the leftward location of the heart and aorta. An examination of the literature on sharp force injury showed that the thoracic region is penetrated more than any other region, and the left thorax is penetrated approximately 2.4 tim
The Circular Economy (CE) concept is widely promoted as a pathway to sustainability, yet its practical realization can appear to be challenging and unclear due to divergent definitions, interpretations and understanding about the implications and goals of a realized CE. Addressing this gap, this study develops the Circular Economy Loop Strategies (CELS) Framework, a synthesizing foundational model
Mood, an individual’s emotional state, fundamentally shapes how the brain interprets sensory input by providing a continuous affective context for prediction and evaluation. In language processing, mood may bias the interpretation of emotionally valenced words, amplifying or dampening their perceived affect. Yet, the temporal dynamics of these mood-valence interactions remain poorly understood. To
The sum of a random number of independent and identically distributed random vectors has a distribution which is not analytically tractable, in the general case. The problem has been addressed by means of asymptotic approximations embedding the number of summands in a stochastically increasing sequence. Another approach relies on fitting flexible and tractable parametric, multivariate distributionThe sum of a random number of independent and identically distributed random vectors has a distribution which is not analytically tractable, in the general case. The problem has been addressed by means of asymptotic approximations embedding the number of summands in a stochastically increasing sequence. Another approach relies on fitting flexible and tractable parametric, multivariate distribution
State-of-the-art attosecond photoionization experiments are identified as a new platform to test Born’s rule—a postulate of quantum mechanics. A simulation of the so-called Sorkin test under typical experimental conditions infers an achievable measurement precision in the range of the best Sorkin tests to date, demonstrating new opportunities for high-precision tests of Born’s rule via nonlinear m
This thesis investigates core excited electronic states of molecules in gas phase. In particular, the resonanttransitions of ionised molecules, the site-selectivity surrounding Auger-Meitner decay, and the nuclear dynamicsthat may follow core excitation and ionisation.Background: Fundamental understanding of molecules and ions lay the groundwork for all future applicativescience and production. Fo
Background: Insulin resistance and impaired insulin secretion are hallmarks of type 2 diabetes (T2D) and may influence risks of complications including dementia. We investigated dementia risk across T2D subgroups defined by beta-cell function and insulin sensitivity. Methods: We used Homeostasis Model Assessment-2 indices of beta-cell function (HOMA2-B) and insulin sensitivity (HOMA2-S) to classif
This study clarifies when Bayesian analysis provides a practical advantage, particularly in large-area searches, hazardous or inaccessible environments, and low signal-to-noise ratio (SNR) scenarios where direct source approach is not feasible. We present a PyMC-based Bayesian framework for localizing a single unshielded gamma-emitting source and estimating its activity, with the ability to switch
Entrepreneurship represents a potential pathway for refugees’ social and economic integration, yet existing research provides limited insight into the roles of entrepreneurial dispositions and perceptions of host-country institutions in shaping refugees’ readiness to initiate start-up activities. Drawing on survey data from Ukrainian refugees in Sweden (n = 92), this study examines the effects of
