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Background: Histological grade is a well-known prognostic factor that is routinely assessed in breast tumours. However, manual assessment of Nottingham Histological Grade (NHG) has high inter-assessor and inter-laboratory variability, causing uncertainty in grade assignments. To address this challenge, we developed and validated a three-level NHG-like deep learning-based histological grade model (
High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate in vivo cell behavior than two-dimensional (2D) models. However, assessing and comparing current 3D models for drug efficacy remains essential, given the significant influence of cellular conditions on treatment response. To develop in vivo mimic
One possible solution to reduce noise resulting from tyre-pavement interaction is to use a porous pavement surface. A porous surface will reduce noise by decreasing air pressure gradients in the tyre-pavement contact as well as by decreasing the acoustical impedance of the road surface and reducing the horn effect. While reducing noise, other functional aspects of a pavement such as abrasion wear
In this research, we develop three statistical based control charts: the Hotelling's T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profil
The judgments of the European Court of Human Rights manifest a mixture of factual and legal causation, when the Court reasons whether omissions should be the basis for breach of positive obligations under the European Convention on Human Rights. However, considerations that can be generally framed as normative govern the reasoning, which implies domination of legal causation. Yet, the Court still
Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo
The study is devoted to the development of the 2DCAM hardware and software complex for the physical modeling of the two-coordinate positioning system of the additional video camera of the UAV using the Simulink environment. DYNAMIXEL actuator systems were used to create a complex prototype. They combine DC motor, reduction gearhead, controller, driver and network components.The AH-12A actuator is
Idag lever allt fler människor under förhållanden som definieras som prekära. Även i avancerade välfärdssamhällen lyckas inte de traditionella trygghetssystemen erkänna och hantera de nya sociala risker som dessa grupper inom ”prekariatet” ställs inför. Bland dessa grupper finner vi migrantkvinnor med osäker rättslig ställning. Denna forskning undersöker hur aktörer i akademin och i civilsamhälletIn advanced welfare societies, traditional welfare programs are failing to recognize and respond to new social risks faced by groups in precarious life situations, including migrant women. This research explore how actors in academic and civil society settings recognize and frame the struggles of migrant women with precarious legal status, particularly in terms of gender-based violence (GBV) and a
This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti
Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predi
Studying the behavior of multiple participants using networked eye-tracking setups is of increasing interest to researchers. However, to conduct such studies, researchers have had to create complicated ad hoc solutions for streaming gaze over a local network. Here we present TittaLSL, a toolbox that enables creating networked multi-participant experiments using Tobii eye trackers with minimal prog
Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu
A critical challenge in developing anion exchange membrane (AEM) water electrolysis is to design high-performance AEMs with chemical and mechanical stability under harsh alkaline environments. Herein, we report the rational design and synthesis of QP(T-3-Pip) featuring flexibly linked isomeric piperidinium cations via a Friedel-Crafts polyhydroxyalkylation between terphenyl and commercial 3-piperi
As the impact of climate change intensifies, there is an urge to adapt Swedish residential buildings with a special focus on improving their energy efficiency and resilience. In this study, adaptive strategies through Artificial Intelligence and Reinforcement Learning will be provided for the energy management of different Swedish residential buildings. The aim will be the optimization of energy u
Abstract: Perfusion MRI techniques—including dynamic susceptibility contrast (DSC) MRI, dynamic contrast-enhanced (DCE) MRI, arterial spin labeling (ASL) MRI, and intravoxel incoherent motion (IVIM) MRI—hold strong potential as imaging techniques for diagnosing, staging, and monitoring disease across a range of clinical applications. However, clinical adoption, especially of quantitative parameter
Lithium-ion batteries (LIBs), particularly Nickel-Cobalt-Aluminum (NCA) variants, are widely recognized as essential for applications such as electric vehicles, renewable energy storage, and portable electronics. The superior energy density, extended lifespan, and thermal stability of NCA batteries make them a preferred choice for demanding applications, including electric marine propulsion. In th
A set of nineteen C-galactopyranosyl ligands, which included constrained compounds based on a bicyclic trans-decalin type system. were synthesized via click chemistry from 2-(β-d-C-galactopyranosyl) ethylene azide intermediates. The compounds were evaluated for binding to various galectins and the most promising inhibitor from the series was a constrained 3-O-benzylated galactopyranose derivative,
INTRODUCTION: Health promotion in everyday settings is of great importance for both individual health and organizational sustainability. A settings-based approach emphasizes how social, physical, and organizational contexts shape the conditions for health. Central principles in health promotion are participation, empowerment, and person-centeredness, which emphasize the active role of the person o
Denna avhandling undersöker styrningen av koldioxidavskiljning och -lagring (CCS) i den nuvarande fasen av policydriven implementering inom europeisk klimatpolitik. Min forskning placeras i mellan etablerad kritik av CCS och dess framväxande, centrala roll i bindande nettonollstrategier. Jag intar en kritiskt pragmatisk hållning som erkänner att CCS är en omtvistad teknik som innebär risker för inThis thesis examines the governance of Carbon Capture and Storage (CCS) technology in its current phase of policy-driven deployment within European climate policy. Positioned in the gap between established critique of CCS and its newly central role in binding net-zero strategies, my research adopts a critical-pragmatic stance to acknowledge that CCS is a contentious technology embodying risks of c
