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The deal at the dawn of time

Being deeply embedded in the mythological framework of old-school Christian angelology, the theodicy presented in this article outlines a thoroughgoing and unexpectedly simple solution to the problem of evil. Unlike other Satan-oriented theodicies, whose central idea is that natural evil is reducible to moral evil by taking the malevolent actions of demons into consideration, it accounts for both Being deeply embedded in the mythological framework of old-school Christian angelology, the theodicy presented in this article outlines a thoroughgoing and unexpectedly simple solution to the problem of evil. Unlike other Satan-oriented theodicies, whose central idea is that natural evil is reducible to moral evil by taking the malevolent actions of demons into consideration, it accounts for both

Programmables self-supporting structures through 4D printing on tensioned textiles

4D printing is a development in additive manufacturing that enables 3D printed objects to transform over time in response to environmental stimuli. This research investigates the architectural viability of large-scale fused deposition modeling (FDM) 3D printing of thermoplastics onto stretched textiles, which retract and warp into 3D structures upon release. Employing an iterative research-by-desi

Old Foe, New Friend? : Rhetorical responses of mainstream parties towards a radical right party

Med sina markanta valframgångar befäster högerradikala (populistiska) partier (RRP) sin närvaro i många västerländska demokratier. Det är väldokumenterat att etablerade partier ändrar sina politiska ståndpunkter och sin framtoning i valrörelser för att möta utmaningen från RRP:s, men hur dessa strategier utvecklas i parlamenten är fortfarande ett outforskat område. I den här avhandlingen fokuserarWith their increasing electoral success, radical right (populist) parties (RRPs) are consolidating their presence in many western democracies. It is well-documented that mainstream parties alter policy positions and issue salience during elections to meet the RRP challenge, yet how these strategies unfold in parliament remains an area to be explored. In this dissertation, I focus on two attributes

Bystander Intervention Programs Focusing on Sexual Violence in Academia—A Scoping Review

Sexual violence within academia is a major concern, and increased attention is being given to bystander interventions to combat these behaviors. This scoping review aimed to investigate bystander intervention programs focused on the prevention of sexual violence in universities worldwide. Literature searches were conducted using ERC, ERIC, Web of Science, PsycInfo, and PubMed databases. The inclus

Negotiating for influence and resources : A study of Swedish teachers’ and principals’ experiences of aggressive emails from parents

This article focuses on teachers’ and principals’ experiences of aggressive emails in home–school collaborations with parents. Semi-structured interviews with 31 teachers and principals from primary, lower and upper secondary schools in Sweden were conducted. Three categories were identified in the material which illuminate the phenomenon of cyberaggression towards principals and teachers from par

Study on the Influence of External Electric Field Control and Vibrational Quantum Effect on the Charge Separation Mechanism in Fullerene-Based Systems

Based on the DCV-C60 system of fullerene acceptor organic solar cell active materials, the charge transfer process of D-A type molecular materials under the action of an external electric field (Fext) was explored. Within the range of electric field application, the excited state characteristics exhibit certain regular changes. Based on reducing the excitation energy, the excitation mode shows a t

Work-related cyber mistreatment from guardians, members of the public, and pupils in the context of educational work – From incivility to aggression

This study explores the nature of work-related cyber mistreatment from guardians, pupils, and members of the public as experienced by educational workers. Thematic analysis of data collected by semi-structured interviews with 31 teachers and principals resulted in two overarching themes; directly addressed cyber mistreatment in email and unwanted negative exposure on social media. The data spans o

The Effects of Calorie Restriction and Bariatric Surgery on Circulating Proneurotensin Levels

Context: Proneurotensin (pNT) is associated with obesity and type 2 diabetes (T2D), but the effects of Roux-en-Y gastric bypass (RYGB) on postprandial pNT levels are not well studied. Objective: This work aimed to assess the effects of RYGB vs a very low-energy diet (VLED) on pNT levels in response to mixed-meal tests (MMTs), and long-term effects of RYGB on fasting pNT. Methods: Cohort 1: Nine no

Brain-body coevolution in incipient versus established primate species—evaluating Simpson’s “most important distinction”

Are differences between species the long-term consequence of microevolution within species, or does speciation involve fundamentally different processes? We analyzed the brain and body sizes of present-day primate species using a novel phylogenetic comparative method that decomposes the phenotypic covariance of these traits into speciational and anagenetic components. We estimated that approximate

The coexistence of the streaming instability and the vertical shear instability in protoplanetary disks : Scale dependence of dust diffusion

The vertical shear instability and the streaming instability are two robust sources of turbulence in protoplanetary disks. The former has been found to induce anisotropic turbulence that is stronger in the vertical than in the radial dimension and to be overall stronger compared to the largely isotropic turbulence caused by the streaming instability. In this study, we shed light on the dust diffus

Plasma p-tau217 in Alzheimer's disease : Lumipulse and ALZpath SIMOA head-to-head comparison

Plasma phosphorylated-tau217 (p-tau217) has been shown to be one of the most accurate diagnostic markers for Alzheimer's disease. No studies have compared the clinical performance of p-tau217 as assessed by the fully automated Lumipulse and single molecule array (SIMOA) AlZpath p-tau217. The study included 392 participants, 162 with Alzheimer's disease, 70 with other neurodegenerative diseases wit

Unmasking Gastroparesis in Diabetes During Ramadan : Challenges and Management Strategies

Gastroparesis, characterized by delayed gastric emptying without mechanical obstruction, is a recognized complication of long-standing diabetes. Its pathophysiology involves, amongst other mechanisms, autonomic dysfunction due to vagal nerve damage, impaired smooth muscle contractility, and hormonal dysregulation of intestinal motility. During Ramadan, fasting causes significant dietary changes du

Hybridizing spatial machine learning to explore the fine-scale heterogeneity between stunting prevalence and its associated risk determinants in Rwanda

Childhood stunting is a serious global public health issue that exhibits local spatial variations. Previous studies have used traditional statistical methods to identify stunting risk factors, and little is known about the application and usefulness of spatial machine learning techniques in identifying localized stunting risk factors based on complex datasets. This study assesses the performance o

Exploring Homeowners’ Attitudes and Climate-Smart Renovation Decisions : A Case Study in Kronoberg, Sweden

This study aims to assess the factors influencing homeowner behaviour regarding climate-adaptive renovations. This study extends the Theory of Planned Behaviour (TPB) by integrating additional factors such as inherent homeowner qualities (IHQs) and building attributes (BAs) to better capture climate-adaptive renovation decisions. Different configurations for the impacts of these additional factors

(Un)predictable acts of data in machine learning environments

This paper investigates artistic representations of machine learning and their interventional potential. Taking its point of departure in two works of art, the paper discusses effects of predictability and unpredictability caused by machine learning systems. By thinking through “eventfulness” (Bucher) and “nonconscious cognition” (Hayles) in human and non-human environments, the paper analyzes the