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036, HR=1.18) and average edge distance (p=0.033, HR=0.84) were also significantly associated with survival.

Thus, not only the size of multiple HCC lesions but also their distance is important for the prognosis of patients with HCC. This may be of particular interest in patients with two nodules and BCLC B and C stages for the selection of therapeutic modalities and/or procedures.

Thus, not only the size of multiple HCC lesions but also their distance is important for the prognosis of patients with HCC. This may be of particular interest in patients with two nodules and BCLC B and C stages for the selection of therapeutic modalities and/or procedures.

Even though several studies reported good resilience capacities in older adults in the first period of the coronavirus disease 2019 (COVID-19) pandemic, in the long run, social isolation induced by the protective measures adopted by most countries may negatively impact cognitive functioning. Taking the advantage of measures collected up to 15 years before the pandemic in participants followed up in epidemiological studies, we compared cognitive decline before and after the start of the pandemic.

PA-COVID is a phone survey designed in the framework of ongoing population-based studies (PAQUID, 3-City, Approche Multidisciplinaire Intégrée cohorts). Data on social functioning and mental health were collected in participants aged 80 years and older during the pandemic. Prior to the pandemic, the participants followed up in the prospective studies completed the Mini-Mental State Examination. During the PA-COVID survey, they underwent the Telephone Interview for Cognitive Status. A score was computed with the 11 items shared by the 2 tests. Our analysis was carried out in the participants for whom a cognitive measure was available up to 15 years before the pandemic and during the pandemic (n = 263).

Compared to the slow decline of the cognitive subscore observed during the 15 years preceding the pandemic, mixed models showed an acceleration of decline after the start of the pandemic (β = -0.289, p value <0.001).

With a design allowing comparing cognitive trajectory before and after the pandemic, this is the first study reporting an accelerated decline in older adults. Future COVID research in older adults will need to pay special attention to cognitive outcomes.

With a design allowing comparing cognitive trajectory before and after the pandemic, this is the first study reporting an accelerated decline in older adults. Future COVID research in older adults will need to pay special attention to cognitive outcomes.Two-dimensional (2D) materials including black phosphorus (BP) have been extensively investigated because of their exotic physical properties and potential applications in nanoelectronics and optoelectronics. Fabricating BP based devices is challenging because BP is extremely sensitive to the external environment, especially to the chemical contamination during the lithography process. The direct evaporation through shadow mask technique is a clean method for lithography-free electrode patterning of 2D materials. Herein, we employ the lithography-free evaporation method for the construction of BP based field-effect transistors and photodetectors and systematically compare their performances with those of BP counterparts fabricated by conventional lithography and transfer electrode methods. The results show that BP devices fabricated by direct evaporation method possess higher mobility, faster response time, and smaller hysteresis than those prepared by the latter two methods. This can be attributed to the clean interface between BP and evaporated-electrodes as well as the lower Schottky barrier height of 20.2 meV, which is given by the temperature-dependent electrical results. Furthermore, the BP photodetectors exhibit a broad-spectrum response and polarization sensitivity. Our work elucidates a universal, low-cost and high-efficiency method to fabricate BP devices for optoelectronic applications.Computer simulations have played a significant role in understanding the physics of colloidal self-assembly, interpreting experimental observations, and predicting novel mesoscopic and crystalline structures. Recent advances in computer simulations of colloidal self-assembly driven by anisotropic or orientation-dependent inter-particle interactions are highlighted in this review. These interactions are broadly classified into two classes entropic and enthalpic interactions. selleckchem They mainly arise due to shape anisotropy, surface heterogeneity, compositional heterogeneity, external field, interfaces, and confinements. Key challenges and opportunities in the field are discussed.Objective.The purpose of this study is to localize the seizure onset zone of patients suffering from drug-resistant epilepsy. During the last two decades, multiple studies proposed the use of independent component analysis (ICA) to analyze ictal electroencephalogram (EEG) recordings. This study aims at evaluating ICA potential with quantitative measurements. In particular, we address the challenging step where the components extracted by ICA of an ictal nature must be selected.Approach.We considered a cohort of 10 patients suffering from extratemporal lobe epilepsy who were rendered seizure-free after surgery. Different sets of pre-processing parameters were compared and component features were explored to help distinguish ictal components from others. Quantitative measurements were implemented to determine whether some of the components returned by ICA were located within the resection zone and thus likely to be ictal. Finally, an assistance to the component selection was proposed based on the implemented features.Main results.For every seizure, at least one component returned by ICA was localized within the resection zone, with the optimal pre-processing parameters. Three features were found to distinguish components localized within the resection zone the dispersion of their active brain sources, the ictal rhythm power and the contribution to the EEG variance. Using the implemented component selection assistance based on the features, the probability that the first proposed component yields an accurate estimation reaches 51.43% (without assistance 24.74%). The accuracy reaches 80% when considering the best result within the first five components.Significance.This study confirms the utility of ICA for ictal EEG analysis in extratemporal lobe epilepsy, and suggests relevant features to analyze the components returned by ICA. A component selection assistance is proposed to guide clinicians in their choice for ictal components.Human tissues and organs are inherently heterogeneous, and their functionality is determined by the interplay between different cell types, their secondary architecture, and gradients of signalling molecules and metabolites. To mimic the dynamics of native tissues, perfusion bioreactors and microfluidic devices are widely used in tissue engineering (TE) applications for enhancing cell culture viability in the core of 3D constructs. Still, mostin vitroscreening methods for compound efficacy and toxicity assessment include cell or tissue exposure to constant and homogeneous compound concentrations over a defined testing period. Moreover, a prevalent issue inhibiting the large-scale adoption of microfluidics and bioreactor is the tubing dependence to induce a perfusion regime. Here, we propose a compartmentalized rotational (CR) 3D cell culture platform for a stable control over gradient tissue culture conditions. Using the CR bioreactor, adjacent lanes of constructs are patterned by controlled flow dynamics to enable tissue stratification. Numerical and experimental simulations demonstrate cell seeding dynamics, as well as culture media rotational perfusion and gradient formations. Additionally, the developed system induces vertical and horizontal rotations, which increase medium exchange and homogeneous construct maturation, allowing both perfused tubing-based and tubing-free approaches. As a proof-of-concept, experiments and accompanying simulation of cellular inoculation and growth in 3D scaffold and hydrogel were performed, before the examination of a blood-brain-barrier model, demonstrating the impact of a heterotypic culture on molecular permeability under mimetic dynamic conditions. Briefly, the present work discloses the simulation of 3D dynamic cultures, and a semi-automated platform for heterotypic tissuesin vitromodelling, for broad TE and drug discovery/screening applications.Objective. Metal implants impact the dosimetry assessment in electrical stimulation techniques. Therefore, they need to be included in numerical models. While currents in the body are ionic, metals only allow electron transport. In fact, charge transfer between tissues and metals requires electric fields to drive electrochemical reactions at the interface. Thus, metal implants may act as insulators or as conductors depending on the scenario. The aim of this paper is to provide a theoretical argument that guides the choice of the correct representation of metal implants in electrical models while considering the electrochemical nature of the problemApproach.We built a simple model of a metal implant exposed to a homogeneous electric field of various magnitudes. The same geometry was solved using two different models a purely electric one (with different conductivities for the implant), and an electrochemical one. As an example of application, we also modeled a transcranial electrical stimulation (tES) treatment in a realistic head model with a skull plate using a high and low conductivity value for the plate.Main results. Metal implants generally act as electric insulators when exposed to electric fields up to around 100 V m-1and they only resemble a perfect conductor for fields in the order of 1000 V m-1and above. The results are independent of the implant's metal, but they depend on its geometry. tES modeling with implants incorrectly treated as conductors can lead to errors of 50% or more in the estimation of the induced fieldsSignificance.Metal implants can be accurately represented by a simple electrical model of constant conductivity, but an incorrect model choice can lead to large errors in the dosimetry assessment. Our results can be used to guide the selection of the most appropriate model in each scenario.We show a way to pattern the visible electroluminescence of solution-processed mesoporous ZnO layers. Our approach consists in locally changing the nanoscale morphology of the coated ZnO layers by patterning the underlying surface with thin metallic patches. Above the metal, the ZnO film is organized in clusters that enhance its defect-induced electroluminescence. The resulting emission occurs over a large continuum of wavelengths in the visible and near-infrared range. This broad emission continuum is filtered by thin film interferences that develop within the device, making it possible to fabricate LEDs with different colours by adjusting the thickness of their transparent electrode. When the metallic patterns used to change the morphology of the ZnO layer reach sub-micron dimensions, additional plasmonic effects arise, providing extra degrees of freedom to tune the colour and polarization of the emitted photons.