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This article is part of the Dendritic Cell Guidelines article series, which provides a collection of state-of-the-art protocols for the preparation, phenotype analysis by flow cytometry, generation, fluorescence microscopy and functional characterization of mouse and human dendritic cells (DC) from lymphoid organs and various nonlymphoid tissues. DC are sentinels of the immune system present in al
A survey of nuclear structure results obtained along α-decay chains stemming from isotopes of element 114, Fl, and element 115, Mc, is presented. Measures taken to ensure a reliable hand-over of nuclear spectroscopy output to nuclear structure theory are outlined. Possible links between decay chains starting from element 117, Ts, and element 115, Mc, are commented on. The experiments were conducte
Building on the base of the existing telescopes of the Event Horizon Telescope (EHT) and ALMA, the next-generation EHT (ngEHT) aspires to deploy ∼10 more stations. The ngEHT targets an angular resolution of ∼15 microarcseconds. This resolution is achieved using Very Long Baseline Interferometry (VLBI) at the shortest radio wavelengths ∼1 mm. The Submillimeter Array (SMA) is both a standalone radio
We report on the development of a method based on recombinant yeast Saccharomyces cerevisiae to produce nonivamide, a capsaicinoid and potent agonist of the pain receptor TRPV1. Nonivamide was produced in a two-step batch process where yeast was i) grown aerobically on glucose and ii) used to produce nonivamide from vanillin and non-anoic acid by bioconversion. The yeast was engineered to express
The turbulent business environment highlights the need for strategies for mitigating, responding to, and recovering from (that is, managing) supply chain disruptions. Resources are central in these strategies but remain unspecified in the literature. This paper shows how the resource interaction approach (RIA) can help understanding resources in this setting by acknowledging their interactive and
Leaf functional traits are key indicators of plant functions useful for inferring complex plant processes, including their responses to environmental changes. Vegetation indices (VIs) composed of a few reflectance wavelengths hold the advantages of being relatively simple and effective and have been widely used within remote sensing to estimate leaf traits. However, the difference between the refl
Abstract: Optical flow provides an opportunity to elevate the resolution and sensitivity of deflection sensing in background-oriented schlieren (BOS). Despite extensive relevant literature within the field of computer vision, there is a lack of proper quantification of its abilities and limitations with regard to the state-of-the-art BOS experiments. Thus, this study performs an assessment of accu
We built machine learning and image analysis tools in order to forecast winter wheat yield based on a rich multi dimensional tensor of agricultural information spanning different scales. This information consists of satellite multi-band images, local soil samples obtained from national databases, local weather as well as field data from 23 farms cultivating winter wheat in southern Sweden. This is
The petrochemicals industry (mainly plastics and fertilizer production) is expanding, despite increasing attention to the environmental impact of petrochemicals. In our paper, we explore the role public finance plays in the petrochemicals industry. We do so by mapping the public and private financial flows into large-scale petrochemical projects for the decade 2010-20 and discuss the role of publi
En intervjustudie om hur företag implementerar och använder artificiell intelligens (AI)
In the quest for the development of faster and more reliable technologies, the ability to control the propagation, confinement, and emission of light has become crucial. The design of guide mode resonators and perfect absorbers has proven to be of fundamental importance. In this project, we consider the shape optimization of a periodic dielectric slab aiming at efficient directional routing of lig
Meshless methods are a promising new field in computational electromagnetics. Instead of relying on an explicit mesh topology, a numerical solution is computed on an unstructured set of collocation nodes. This allows to model fine geometrical details with high accuracy and facilitates the adaptation of node distributions for optimization or refinement purposes. The radial point interpolation metho
Technologies developed since the late eighteenth century differ from earlier forms of technology by being as dependent on world market prices of labour, land and other biophysical resources as on human inventiveness. Yet, whether their outlook is mainstream or heterodox, modern people tend to view technology simply as ingenuity applied to nature, while oblivious of the extent to which it is contin
Comprehensive integration of process steps into a miniaturised version of synthetic biology workflows remains a crucial task in automating the design of biosystems. However, each of these process steps has specific demands with respect to the environmental conditions, including in particular the composition of the surrounding fluid, which makes integration cumbersome. As a case in point, transform
