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Background: Serially interconnected microfluidic devices enable advanced applications such as multi-step chemical processing and multi-organ-on-chip systems. However, managing these systems presents challenges due to interdependent fluid dynamics in their connecting channels, where even minor disturbances can propagate throughout the network, affecting overall system performance. Methods: This stu

BACKGROUNDDistinguishing wide complex tachycardia (WCT) as ventricular tachycardia (VT) or supraventricular WCT (SWCT) is critical yet challenging. Manual ECG algorithms require substantial expertise and are inconsistently applied, and contemporary computerized ECG interpretation (CEI) systems often return only a generic “wide complex tachycardia” label. Novel machine learning–based ECG models (So

Background: Available fluid biomarkers, neuroimaging techniques, and clinical assessments may enhance prediction of conversion to secondary progressive multiple sclerosis (SPMS). Objectives: : To identify robust real-world predictors of MS progression in the literature. Methods: : A systematic review was conducted in EMBASE. A total of 20,338 MS patients from 64 eligible studies were included. A p

Improving energy efficiency in agriculture is key to reducing environmental impact. Lighting in animal buildings is one of the most cost‐effective energy saving measures. Lighting retrofit offers a short payback period, enhances animal welfare and production, and aligns with regulations for phasing out fluorescent lighting. The purpose of this study was to investigate the energy-saving potential o

The feasibility of South Africa's just energy transition, as dictated by the speed of phasing out coal and scaling up renewables, will rest on a range of techno-economic, socio-political, and socio-technical factors. Interactions between these dimensions of the transition carry significant implications for energy justice. In response, this paper proposes the Just Transition Feasibility Framework (

Denna text lyfter stöd kring urban dagsljusplanering utifrån effekter på medborgarnas allmänna hälsa och livskvalitet och utifrån energieffektiva byggnader och städer. Urban dagsljusplanering kan minska vårt beroende av belysning och kan därmed vara en nyckelfaktor för att främja energibesparing och göra bebyggelsen mer resilient.

Objective. This study aimed to investigate the potential of contrastive learning to improve auditory attention decoding (AAD) using electroencephalography (EEG) data in challenging cocktail-party scenarios with competing speech and background noise. Approach. Three different models were implemented for comparison: a baseline linear model (LM), a non-LM without contrastive learning (NLM), and a

The European Spallation Source is currently under construction in Lund, Sweden. Consisting of a linear accelerator delivering an unprecedented 5 MW proton beam to the spallation source, i.e. a rotating Tungsten disk, it will deliver high-flux neutron beams to multiple beamlines at which scientific experiments will be conducted in many scientific disciplines.To simulate the proton beam and for crea

The first generation of ELT instruments includes an optical-infrared high resolution spectrograph, indicated as ELT-HIRES and recently christened ANDES (ArmazoNes high Dispersion Echelle Spectrograph).ANDES consists of three fibre-fed spectrographs ([U]BV, RIZ, YJH) providing a spectral resolution of ∼100,000 with a minimum simultaneous wavelength coverage of 0.4-1.8 µm with the goal of extending

Background: In cardiovascular magnetic resonance, late gadolinium enhancement (LGE) is the standard method to visualize myocardial infarction (MI). Many algorithms quantifying infarct size in LGE images exist. However, only few algorithms have been validated, i.e., benchmarked against an ex-vivo measurement. Furthermore, the reported algorithm performance varies considerably between studies. Objec

Developing a robust decision analysis framework for selecting appropriate building envelope assemblies is essential to ensure moisture safety, energy efficiency, and sustainability. Recently, Bayat Pour et al. introduced the inutility decision analysis (IDA) method, which integrates moisture safety criteria with sustainability considerations, including economic and environmental aspects. This stud

The recognition of amine groups by ninhydrin, along with a simple mathematical algorithm, showed that di- and tripeptides derived from dietary protein are the major end products of protein digestion entering the blood postprandially. There are thousands of oligopeptides appearing in the gut during protein digestion. However, the presented study on a pig model clearly shows that peptides longer tha

This study explores a novel approach to utilizing waste biomass for syngas production, with the potential for carbon sequestration. An integrated biomass conversion process combining pyrolysis, CO2 reforming, and MILD combustion is proposed. In the proposed system, the bio-oil obtained from pyrolysis can be used in a reforming step, converting it into syngas with a suitable H2/CO ratio for chemica

We study the problems of computing the Voronoi diagram and a triangulation of a set of n2 points with O(log⁡n)-bit coordinates in the Euclidean plane in a substantially sublinear in n number of rounds in the congested clique model with n nodes. First, we observe that if the points are uniformly at random distributed in a unit square then their Voronoi diagram within the square can be computed in O

Purpose: The sugar industry is always pressured to be suitable and enhance its operational effectiveness. Digital Twin (DT) has the potential to transform this industry. However, the lack of industry-specific Key Performance Indicator (KPI) frameworks makes it challenging to implement them. This study provides a hierarchical KPI model for DT adoption in the sugar sector, interconnecting the United

The dispersive approach to the hadronic light-by-light contribution to the muon g − 2 involves an integral over three virtual photon momenta appearing in the light-by-light tensor. Building upon previous works, we systematically derive short-distance constraints in the region where two momenta are large compared to the third, the so-called Melnikov-Vainshtein or corner region. We include gluonic c

Background: Psychological resilience refers to a person's positive adaptation when faced with adversities, such as a breast cancer (BC) diagnosis. Highly resilient patients are more likely to regain stability and be protected from health conditions such as depression, anxiety, and posttraumatic stress disorder. We aimed to identify epigenetic markers that distinguish high- and low-resilient patien