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Principal component analysis (PCA) and k-nearest neighbor (kNN) can be applied to extract and compare activity distributions from electrocorticogram (ECoG) signals across recorded neural activity. Here, we present a protocol for recording ECoG activity from the neocortex of rats and applying PCA and kNN on the recorded data. This protocol allows for comparison between different types of cortical a
This paper presents a low-profile, single-layer, broadband, polarization-reconfigurable metasurface antenna with a low radar cross section (RCS). The design leverages characteristic mode analysis (CMA) applied to a staggered elliptical-shaped unit cell metasurface. The unique arrangement of the elliptical-shaped elements, oriented at 90°, promotes mode fusion through CMA, effectively reducing RCS.
Direct reprogramming of somatic cells into neurons offers a promising strategy for studying neurological disorders and developing cell-based therapies. This protocol describes the 3D direct reprogramming of human glial progenitor cells into dopaminergic neurons. It includes spheroid formation, lentiviral transduction, neuronal induction using doxycycline, and validation via gene expression and imm
Sorption-enhanced steam reforming (SorESR) is an advanced thermochemical process integrating in-situ CO2 capture via solid sorbents to significantly enhance hydrogen production and purity. By coupling CO2 adsorption with steam reforming, SorESR shifts the reaction equilibrium toward increased H₂ yield, surpassing the limitations of conventional steam reforming (SR). The efficacy of SorESR critical
We compared manual lymph drainage (MLD) with sequential pneumatic compression (SPC) for treatment of unilateral arm lymphedema in 28 women previously treated for breast cancer. After 2 weeks of therapy with a standard compression sleeve (Part I) with maintenance of a steady arm volume, each patient was randomly assigned to either one of two treatment regimens (Part II). MLD was performed according
BACKGROUND: Treatment for resectable oral cavity cancer (OCC) often includes combinations of surgery and radiotherapy (RT), but there is no conclusive information on the preferred treatment order. The aim of this study was to assess the costs and cost-effectiveness of two alternative treatment regimens for patients with OCC, reflecting pre- and post-operative RT, from a societal perspective.METHOD
Background: Service users and other stakeholders have had few opportunities to influence the design of their mental health and return-to-work services. Likewise, digital solutions often fail to align with stakeholders’ needs and preferences, negatively impacting their utility. mWorks is a co-design initiative to create a digital return-to-work solution for persons with common mental disorders that
This chapter introduces the concept of projectification, a concept that aims to capture an increasing reliance on ‘the project’ in our contemporary societies and economies. A project is often thought of as a temporary endeavour undertaken to create a unique product, service or result. However, sometimes ‘the project’ refers to something less tangible, to a discursive theme in contemporary society
Larger amounts of variable renewable energy sources bring about larger amounts of uncertainty in the form of forecast errors. When taking operational and planning decisions under uncertainty, a tradeoff between risk and costs must be made. Today's deterministic operational tools, such as N-1-based methods, cannot directly account for the underlying risk due to uncertainties. Instead, several defin
Granulocyte colony-stimulating factor (G-CSF; AX200; Filgrastim) is a stroke drug candidate with excellent preclinical evidence for efficacy. A previous phase IIa dose-escalation study suggested potential efficacy in humans. The present large phase IIb trial was powered to detect clinical efficacy in acute ischemic stroke patients.
This paper presents a new strategy to combine the power of antibody based capturing of target species in complex samples with the benefits of microfluidic reverse phase sample preparation on an integrated sample enrichment target (RP-ISET) and the analysis speed of MALDI MS. The immunoaffinity step is performed on an in-house developed 3D-structured high surface area porous silicon (PSi) matrix, w
Socioeconomic status could potentially impact on which type of rheumatic diagnosis a patient receives. We determined whether different socioeconomic status is a risk factor for being diagnosed with spondyloarthritis (SpA) or chronic pain. In a nested case-control study, we identified two sets of adult cases diagnosed with (i) SpA (n = 1,194) and (ii) chronic pain (n = 3,730) during 2010-2012 in Sk
Purpose: To evaluate waiting times for first-eye cataract surgery in Sweden following widespread adoption of the Nationell Indikationsmodell for Kataraktextraktion (NIKE) tool for prioritizing patients for cataract surgery. Methods: Waiting times for all first-eye cataract surgeries in Sweden in 2009-2011 were identified from the Swedish National Cataract Register. Waiting times were compared acco
There is little consensus on the optimal components of gambling psychological treatments. This study aimed to identify clinical consensus statements regarding the perceived effectiveness of gambling intervention content (change techniques, participant/recruitment characteristics, delivery characteristics, and evaluation characteristics) from a panel of researchers with psychological gambling treat
Aims To explore the prevalence and incidence of paediatric implantable cardioverter-defibrillator (ICD) patients in Sweden and identify risk factors associated with appropriate shocks and adverse events. Methods and results We performed a nationwide, retrospective cohort study of ICD use in paediatric patients (<19 years) between 1995 and 2017; 120 patients underwent ICD implantation at median age
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks, sacrificing its explainability. In this work, we explore the potential of self-explaining neural networks (SENN) for survival analysis. We propose a new locally explainable
The objective was to study the development and progression of heart disease in type 2 diabetic patients and to evaluate the influence of revascularisation procedures on its outcome. A 10-year observation study in 385 patients attending a hospital-based outpatient clinic was performed. A total of 156/385 patients developed myocardial infarction (n=68), angina (n=44), heart failure (n=34) or died (n
