Background: As electronic control units (ECUs) become increasingly complex and central to vehicle functionality, Original Equipment Manufacturers (OEMs) face strategic decisions on whether to develop such components in-house or outsource them. These make-or-buy decisions affect not only cost but also innovation potential, lead times, and organizational capability. Purpose: To evaluate the implica

This study explores the use of Large Language Models (LLMs) to automate sustainability reporting in accordance with the European Sustainability Reporting Standards (ESRS). Given the increasing complexity and regulatory demands of sustainability reporting, organizations face significant challenges connected to their reporting processes. To evaluate the potential of LLMs in addressing these challeng

The photon momentum transfer in the one-photon single ionization (1PSI) of helium is theoretically and experimentally studied. The influence of electron correlations is found to be displayed in the dimensionless photon momentum-transfer factor F, which takes a value of 8/5 for the 1PSI of the 1s state of hydrogen. For the ground state of helium, we find that F first decreases and then increases wi

Dissociation upon sulfur K-shell excitation or ionization of SF6 is studied by sulfur L-shell emission spectroscopy using synchrotron radiation and multiconfiguration Dirac-Hartree-Fock calculations of emission energies and transition rates. The decay path involves in particular Auger emission with the ejection of one or more electrons, leading to singly or multiply charged intermediate states. Ne

Motivation can be a decisive factor in students’ learning of a foreign language. At the same time, motivation is complex, dynamic, and context sensitive (Papi & Hiver, 2020). Language teachers encounter a wide spectrum of motivational profiles among their students and need to understand the motivation process to find strategies to address students' varying levels of motivation at a given time.

OBJECTIVE: Chronic primary prostate pain syndrome (PPPS), usually referred to as chronic prostatitis with chronic pelvic pain syndrome (CP/CPPS), affects approximately 10% of all men. The National Institute of Health-Chronic Prostatitis Symptom Index (NIH-CPSI) was developed for clinical assessment and research evaluation of this patient category. The objective of this study was to translate the N

INTRODUCTION: An increasing number of sub-Saharan African countries are implementing national health insurance schemes (NHISs) to support the aspiration of universal health coverage (UHC). A growing body of literature recognises the private sector role in improving NHIS equity in service access, public provider complementarity and overall member satisfaction. Zambia has implemented the NHIS since

Predicting the evolution of complex systems governed by partial differential equations remains challenging, especially for nonlinear, chaotic behaviors. This study introduces Koopman-inspired Fourier neural operators and convolutional neural networks to learn solution advancement operators for flame front instabilities. By transforming data into a high-dimensional latent space, these models achiev

Given the important role of the land surface for climate, this study aims at (1) to evaluate the quality of the simulation of surface climate by the land-surface component of the EC-Earth3 ESM and (2) to assess the role of the coupling of the land surface with the atmosphere for the simulation of the surface climate in EC-Earth3. It is based on three simulations with different configurations of th

Background: Small airway dysfunction (SAD) is associated with impaired asthma control, but small airway physiology is not routinely assessed in clinical practice. Previously, we demonstrated impulse oscillometry (IOS)-defined small airway dysfunction (SAD) in dual responders (DRs) upon bronchoprovocation with various allergens. Aim: To compare lung physiology using spirometry and IOS following bro

Drought is a significant natural hazard that severely challenges water resource management and agricultural sustainability. This study aims to propose a novel approach for predicting streamflow drought indices (SDI-3, SDI-6, and SDI-12) in humid continental (Stockholm) and semi-arid (ELdiem) climates at different time-steps. The approach utilizes a Quantile Regression Neural Network (QRNN) coupled

Occupancy is one of the primary contributors to the energy performance gap, defined as the difference between actual and predicted energy usage, in buildings. This paper limits its scope to residential buildings, where occupant-centric consumption often goes unaccounted for in standard energy metrics. This paper starts from the hypothesis that a simple occupant energy efficiency label is needed to

This thesis explores how Employee-Driven Innovation (EDI) unfolds within Swedish municipal organizations and identifies how EDI is managed and structured, and what kind of innovations that are created in such organizational environments. While innovation is increasingly emphasized in the public sector, this study reveals that its practice is far from uniform. Through qualitative studies of three m

Reconfiguring Warehouse Operations at CEPA to Improve Performance:A Design Science Study for Operational Efficiency

When parametrizing multi-Higgs potentials, it is desirable to express its coefficients via observables. This is routinely done for the 2HDM, but this approach often fails in more elaborate models. Here, we show that the scalar sector of the CP4 3HDM, an intriguing model based on an order-4 CP symmetry, can also be parametrized in an observable-driven manner. The key feature that makes it work is t

The question of discretion in law is often framed as a technical question – how can we ensure that the decisions produced in administrative processes are accurate, predictable, non-discriminatory, free from bias, etc. If we conceive of discretion with this framing, then replacing human discretion with machine discretion seems eminently sensible.In this article, I question that framing of discretio