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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
Purpose: Despite increasing focus among scholars and practitioners on the design of product-service systems (PSS), there exists no compilation of current knowledge on the role played by small and medium-sized enterprises (SMEs) in designing such systems. Thus, this paper sets out to identify and organise the existing research and suggest questions for future research. Design/methodology/approach:
Physiologically based pharmacokinetic (PBPK) models offer the ability to simulate and predict the biodistribution of radiopharmaceuticals and have the potential to enable individualised treatment planning in molecular radiotherapy. The objective of this study was to develop and implement a whole-body compartmental PBPK model for peptide receptor radionuclide therapy (PRRT) with [177Lu]Lu-DOTA-TATE
Aim: Previous research has indicated that preoperative beta blocker therapy is associated with a decreased risk of complications after surgery for rectal cancer. This is thought to arise because of the anti-inflammatory activity of the drug. These results need to be reproduced and analyses extended to other drugs with such properties, as this information might be useful in clinical decision-making
Background: The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state-of-the-art for computational prediction of genetic variant impact, particularly where relevant to disease. The five complete editions of the CAGI community experiment comprised 50 challenges, in which participants made blind predictions of phenotypes from genetic data, and these were evaluated by independ
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 (
Background: During the COVID-19 pandemic, the majority of patients received ambulatory treatment, highlighting the importance of primary health care (PHC). However, there is limited knowledge regarding PHC workload in Europe during this period. The utilization of COVID-19 PHC indicators could facilitate the efficient monitoring and coordination of the pandemic response. The objective of this study
Over the last 50 years, there has been significant development of qualitative research and related methods in healthcare. Theoretical frameworks support researchers in selecting appropriate research approaches, procedures and analytical tools. However, the implications of the choice of theory are sparsely elucidated. Based on a text excerpt from a public debate article, the study aimed to show how
Bidirectional Low Temperature Networks (BLTNs) are an innovative technology of district heating and cooling systems. Because of their intrinsic feature of supplying simultaneous heating and cooling either directly from an energy source/sink or through distributed heat pumps and chillers, circulation pumps installed at each building extract water from the network and a distinct pressure cone is sub
Older adults have multiple medical and social care needs, requiring a shift toward an integrated person-centered model of care. Our objective was to describe and summarize Swedish experiences of integrated person-centered care by reviewing studies published between 2000 and 2023, and to identify the main challenges and scientific gaps through expert discussions. Seventy-three publications were ide
Alternative fuels, such as natural and bio-gas, are attractive options for reducing greenhouse gas emissions from combustion engines. However, the naturally occurring variation in gas composition poses a challenge and may significantly impact engine performance. The gas composition affects fundamental fuel properties such as flame propagation speed and heat release rate. Deviations from the gas co
Overuse of antibiotics is accelerating the antimicrobial resistance among pathogenic microbes which is a growing public health challenge at the global level. Higher resistance causes severe infections, high complications, longer stays at hospitals and even increased mortality rates. Antimicrobial resistance (AMR) has a significant impact on national economies and their health systems, as it affect
