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In fMRI studies with evoked activity, brain activity is detected by voxel-wise GLM tting, followed by statistical hypothesis testing. Statistical parametric mapping (SPM), one of the most popular classical methods, relies upon Gaussian smoothing to deal with the multiple-comparison correction. As an alternative, we have recently introduced a graph-based framework for fMRI brain activation mapping
This paper analyses an impact of religious practice on the development of the tense system, in particular the future tense. There have been rich typological studies on the tense, which reveal that a basic tense distinction is either past vs. non-past or past vs. present vs. future in most languages. From evolutionary/historical perspectives, the former case is older than the latter one, i.e. the f
Den 16 april 2026 presenterades det nya lagförslaget gällande skärpta regler för unga lagöverträdare i proposition 2025/26:246. I propositionen föreslås bland annat en partiell sänkning av straffbarhetsåldern till 13 år vid allvarlig brottslighet samt införande av ungdomsfängelse för åldersgruppen 13–14 år. Syftet med denna uppsats är att granska argumenten bakom förslaget och hur det förhåller On April 16th, 2026, the new legislative Government bill 2025/25:246 regarding stricter rules for young offenders was presented. The bill proposes a partial lowering of the age of criminal responsibility to 13 for severe crimes, and the introduction of youth imprisonment for the 13–14 age group. The purpose of this thesis is to examine the arguments behind the proposal and compare them with prev
Post-Materialism is a theory introduced in the 1970's. Post-Materialism is set of values that is stated to have changed, foremost in industrial countries. This shift in values is predicted to lead to changes in attitudes, actions and the social structure, because those who prioritize Post-Materialist values are suggested to think and identify themselves differently. In this thesis, changes in
We present a constructive approach to bounded l2-gain adaptive control with noisy measurements for linear time-invariant scalar systems with uncertain parameters belonging to a finite set. The gain bound refers to the closed-loop system, including the learning procedure. The approach is based on forward dynamic programming to construct a finite-dimensional information state consisting of H-infinit
BACKGROUND: Transmission of coronavirus disease 2019 (COVID-19) can occur through inhalation of fine droplets or aerosols containing infectious virus. The objective of this study was to identify situations, patient characteristics, environmental parameters, and aerosol-generating procedures (AGPs) associated with airborne severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus.METHODS:
Colloidal perovskite nanocrystals are building blocks for novel materials due to the property of nanocrystals to self-assemble into ordered structures (superlattices). Exemplified by a prototypical perovskite CsPbBr3, research into perovskite nanocrystal superlattices is motivated by reports of intriguing phenomena such as superfluorescence and superradiance.[1] Such cooperative luminescence arise
This explorative study investigates the emergence of gray zone markets from search engines amidst the global expansion of online markets. With the analytical approach of infrastructural inversion, we examine how the search infrastructure constructs access to a gray zone market including both authorized online pharmacies and unauthorized vendors. Using Sweden and Google Search as a case, we explore
Purpose: Different imaging tools, including digital breast tomosynthesis (DBT), are frequently used for evaluating tumor response during neoadjuvant chemotherapy (NACT). This study aimed to explore whether using artificial intelligence (AI) for serial DBT acquisitions during NACT for breast cancer can predict pathological complete response (pCR) after completion of NACT. Methods: A total of 149 wo
ObjectivesProstate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was to assess whether a deep learning algorithm can replace PI-RADS 2.1 based ellipsoid formula (EF) for calculating PV.MethodsEight different measures of PV
This review presents the status and outlook for shared energy systems (SES) and fifth-generation district heating and cooling (5GDHC). It provides an overview of the technical and functional knowledge encompassing design and development, operational and system architecture, and control and decision support systems of these technologies. The review also presents different tools and models found in
The PRIMARY score was implemented in Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) version 2 to improve accuracy for the diagnosis of clinically significant prostate cancer using prostate-specific membrane antigen (PSMA) positron emission tomography (PET). We reviewed overall survival (OS) for patients who underwent PSMA PET for initial staging to evaluate the prognostic valu
Non-exhaust emissions from the wear of brakes, tyres, and roads have become an increasing concern in recent years, already surpassing exhaust emissions by mass in many countries. However, there is a lack of studies in the scientific literature on test methods that include both real tyre and road materials. This is crucial for accurately replicating the tribological mechanisms and resulting emissio
afe and optimized utilization of waste-to-energy (WtE) fly ash (FA) requires a detailed understanding of the physicochemical properties of its metal constituents. This study provides a comprehensive analysis of the chemical form of Zn in fine (<1 μm) and coarse (>1 μm) FA particles, hypothesized to originate from different formation mechanisms. Size-selective aerosol sampling was performed during
Feedbacks from the climate to other components of the coupled human-Earth system are expected to strongly influence the co-evolution of human society and its environment. Representing these feedback loops between climate and society, via the Earth system's response to human activities and the subsequent effect back onto social systems, is essential in order to fully explore the dynamics of the cou
