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New insight into myocardin regulation and function in smooth muscle cells

Smooth muscle cells (SMCs) are constituents of hollow inner organs. Their contractile function governs essential physiological functions, such as breathing, eating, blood pressure control, urination, and childbirth. Skeletal and cardiac muscle cells are terminally differentiated cell types, but SMCs are highly plastic and change their phenotype in disease. Cues presented by the microenvironment an

Development of Detachable Audio Accessory for Surveillance Cameras

Surveillance cameras are used for video monitoring. To complement the video stream, different external accessories can be attached to a camera. The addition of external accessories brings certain limitations in terms of aesthetics and functionality. To overcome these limitations, an internal platform for connecting accessories would enable the creation of better and more future-proof products. Thi

Scanning photoelectron spectromicroscopy : From static to operando studies of functional materials

The scanning photoelectron microscope (SPEM), developed more than 30 years ago, has undergone numerous technical developments, providing an incredibly vast kind of feasible sample environments, which span from the traditional high spatial resolution core level based chemical analysis to insitu and operando complex experiments, including also electrochemical setups and operational electronic device

Biochemical and X-ray analyses of the players involved in the faRel2/aTfaRel2 toxin-antitoxin operon

The aTfaRel2/faRel2 operon from Coprobacillus sp. D7 encodes a bicistronic type II toxin-antitoxin (TA) module. The FaRel2 toxin is a toxic small alarmone synthetase (toxSAS) that inhibits translation through the pyrophosphorylation of uncharged tRNAs at the 3'-CCA end. The toxin is neutralized by the antitoxin ATfaRel2 through the formation of an inactive TA complex. Here, the production, biophys

The Relationship Between R&D Intensity, Innovation & Firm Performance in the Nordics

This study focuses on the relationship between R&D intensity and firm performance in the Nordic countries. The study looks into the bilateral relationship how R&D intensity affects different measures of firm performance and vice versa. This study finds evidence of a two way relationship between the studied variables and R&D intensity having a negative affect on firm performance in the

Eco-social sustainability assessment of manufacturing systems: an LCA-based framework

In this paper, model-based sustainability assessment framework with social impact considerations is developed. The framework integrates the stochastic, nonlinear, and complex interrelationships that characterize most manufacturing systems, and incorporates their impact in the sustainability assessment module. The framework consists of three models that run successively, namely: stochastic discrete

Räcker de Mänskliga Rättigheterna för att hantera Klimatkrisen? En kritisk analys av Simon Caneys argument för ett Människorätts-perspektiv på klimatförändringarna

Klimatförändringarnas farliga effekter på människor är ett faktum. Det är emellertid viktigt att notera att klimatförändringarnas effekter inte endast påverkar oss människor. Normativa ramverk har etablerats för olika tillvägagångssätt på klimatförändringarna, där uppfattningen om människans roll i förståelsen av klimatförändringarna och den rådande krisen är splittrad. Syftet med denna kandidatAnthropogenic climate change's harmful effects on human beings, especially the most disadvantaged, are widely acknowledged. However, the impact extends beyond humans, resulting in species extinction and biodiversity loss. Consequently, climate change poses a significant threat to the survival of both humans and multispecies. This thesis critically examines Simon Caney's approach on anthro

Towards an Ecotopia – Digital Utopia or Dystopia?

The paper embarks on an exploration of how technological advancements are poised to reshape the landscape of future consumption and marketing practices and extend our understanding of whether this trajectory is potentially leading toward a future digital utopia or a dystopia. Drawing upon the theoretical understanding from Marshall McLuhan, this research investigates the metaverse as a novel techn

Internal displacement in the context of disasters and climate change in Asia and the Pacific: Introduction to the volume

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book focuses on internal displacement in the context of disasters and climate change in Asia and the Pacific. It brings the role of disaster risk reduction and management authorities, as well as legal and policy frameworks that regulate their conduct, more into focus than the role of o

Characterization of defect microstructure in MgRE (RE=Ce, Nd) alloys after processing by high-pressure torsion using positron annihilation spectroscopy and a high resolution X-ray diffraction

Two MgRE (RE = Ce, Nd) alloys with ultrafine-grain (UFG) microstructures were prepared by high-pressure torsion (HPT) at room temperature. The in-depth distribution of defects was characterized by Doppler broadening –variable energy positron annihilation spectroscopy (DB-VEPAS). The characteristic S parameter increases in bulk after HPT processing relative to an as-received sample and shows a rela

Robust probabilistic modelling of mould growth in building envelopes using random forests machine learning algorithm

Probabilistic methods can be used to account for uncertainties in hygrothermal analysis of building envelopes. This paper presents methods for robust mould reliability analysis and identification of critical parameters. Mould indices are calculated by probabilistic hygrothermal analysis, followed by the application of the "Finnish mould growth model." To increase the robustness of the mould growth

Orthodox Christianity and the Covid-19 Pandemic

This book probes into the dynamics between Orthodox Christianity and the COVID-19 pandemic, unraveling a profound transformation at institutional and grassroots levels. Employing a multidisciplinary approach, and drawing upon varied data sources, including surveys, digital ethnography, and process tracing, it presents unprecedented insights into church-state relations, religious practices, and the

A machine learning based approach for predicting usage efficiency of shared e-scooters using vehicle availability data

Shared electric scooters (e-scooters) have been rapidly growing in popularity across Europe over the past three years, which can bring various environmental and socioeconomic benefits. However, how to further improve the usage efficiency of shared e-scooters is still a major concern for micro-mobility operators and city planners. This paper proposes a machine learning based approach to predict the

Narrative analysis about mental health in children

Nowadays it is becoming more and more common for children, young and older, to have some type of mental health problems, but the question is how does this affect the person's life? The purpose of this paper is to get a more specific understanding of mental health problems regarding children. The paper aims to show how mental health affects children, after a diagnosis and/or a turning point in