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Integrating All-Atom and Coarse-Grained Simulations - Toward Understanding of IDPs at Surfaces

We present a scheme for transferring conformational degrees of freedom from all-atom (AA) simulations of an intrinsically disordered protein (IDP) to coarse-grained (CG) Monte Carlo (MC) simulations using conformational swap moves. AA simulations of a single histatin 5 peptide in water were used to obtain a structural ensemble, which is reweighted in a CGMC simulation in the presence of a negative

Spontaneous Formation of Cushioned Model Membranes Promoted by an Intrinsically Disordered Protein

In this article, it is shown that by exposing commonly used lipids for biomembrane mimicking studies, to a solution containing the histidine-rich intrinsically disordered protein histatin 5, a protein cushion spontaneously forms underneath the bilayer. The underlying mechanism is attributed to have an electrostatic origin, and it is hypothesized that the observed behavior is due to proton charge f

Feature-Oriented Control Programming

Managing variability in control programs often requires code duplication or that all variants are anticipated in advance. In this paper, we present a new approach to obtaining modular functionality reuse across variants. Using the language mechanisms diagram inheritance and connection interception, a feature model and an interactive feature-selection wizard can be automatically derived from the co

Finite element analysis for simplified thermal dose planning in interstitial laser thermotherapy

The objective was to investigate if diffusing laser fibres can be modelled as conductive heat sources without miscalculating coagulated volumes, and if finite element analysis, disregarding light transport, may be used for three dimensional (3D) treatment planning in interstitial laser thermotherapy (ILT). Temperature distributions and coagulated volumes with a diffusing laser fibre, as compared t

Adsorption of Fibrinogen on Silica Surfaces-The Effect of Attached Nanoparticles

When a biomaterial is inserted into the body, proteins rapidly adsorb onto its surface, creating a conditioning protein film that functions as a link between the implant and adhering cells. Depending on the nano-roughness of the surface, proteins will adsorb in different amounts, with different conformations and orientations, possibly affecting the subsequent attachment of cells to the surface. Th

Simulating the mid-holocene, last interglacial and mid-pliocene climate with ec-earth3-lr

As global warming is proceeding due to rising greenhouse gas concentrations, the Earth system moves towards climate states that challenge adaptation. Past Earth system states are offering possible modelling systems for the global warming of the coming decades. These include the climate of the mid-Pliocene (∼ 3 Ma), the last interglacial (∼ 129-116 ka) and the mid-Holocene (∼ 6 ka). The simulations

Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

Massive multiple-input multiple-out (MIMO) technology is vital in millimeter-wave (mmWave) bands to obtain large array gains. However, there are practical challenges, such as high hardware cost and power consumption in such systems. A promising solution to these problems is to adopt a hybrid beamforming architecture. This architecture has a much lower number of transceiver (TRx) chains than the to

Self-Interactions of Two Monoclonal Antibodies : Small-Angle X-ray Scattering, Light Scattering, and Coarse-Grained Modeling

Using light scattering (LS), small-angle X-ray scattering (SAXS), and coarse-grained Monte Carlo (MC) simulations, we studied the self-interactions of two monoclonal antibodies (mAbs), PPI03 and PPI13. With LS measurements, we obtained the osmotic second virial coefficient, B22, and the molecular weight, Mw, of the two mAbs, while with SAXS measurements, we studied the mAbs' self-interaction behav

Virtual cell model for osmotic pressure calculation of charged biomolecules

The osmotic pressure of dilute electrolyte solutions containing charged macro-ions as well as counterions can be computed directly from the particle distribution via the well-known cell model. Originally derived within the Poisson-Boltzmann mean-field approximation, the cell model considers a single macro-ion centered into a cell, together with counterions needed to neutralize the total cell charg

Developing eHealth in neonatal care to enhance parents' self-management

BackgroundDischarge from a neonatal care unit is often experienced as a vulnerable time for parents. By communicating through digital technology, it may be possible to improve the support for parents and thereby make the transition from hospital to home less stressful.AimTo develop an eHealth device supporting the transition from hospital to home for parents with a preterm‐born child in Sweden usi

Beam manipulation using characteristic mode analysis for switchable beam patch antenna

The operating mechanisms of a planar patch antenna with a parasitic strip is analyzed in this paper. The patch antenna uses a thin parasitic strip to realize beam deflection, which facilitates switchable beam. The beam deflection effect of the parasitic strip can be explained by using characteristic mode analysis (CMA). Specifically, the parasitic strip introduces a new mode that interacts with a

Artificial intelligence enabled radio propagation for communications – Part II: Scenario identification and channel modeling

This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, we introduced AI and ML as well as provided a comprehensive survey on ML enabled channel characterization and antenna-channel optimization, and in this part (Part II) we review state-of-the-art literature on scenario iden

Artificial intelligence enabled radio propagation for communications – Part I: Channel characterization and antenna-channel optimization

To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artificial intelligence techniques. In this two-part paper, we investigatethe application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. It firstly provides a

Coupled Impacts of Atmospheric Circulation and Sea-Ice on Late Pleistocene Terrigenous Sediment Dynamics in the Subarctic Pacific Ocean

Processes controlling environmental change in the subarctic Pacific Ocean on millennial to orbital timescales are not well understood. Here we use a 230-kyr sedimentary record from the northwest Pacific Ocean to assess the response of late Pleistocene sediment dynamics to orbital forcing. Combining a source-to-sink perspective based on sedimentological records with climate model reanalysis, we rev

The effect of multisite phosphorylation on the conformational properties of intrinsically disordered proteins

Intrinsically disordered proteins are involved in many biological processes such as signaling, regulation, and recognition. A common strategy to regulate their function is through phosphorylation, as it can induce changes in conformation, dynamics, and interactions with binding partners. Although phosphorylated intrinsically disordered proteins have received increased attention in recent years, a

Challenges and solutions for antennas in Vehicle-to-Everything services

Autonomous vehicle is being developed for widespread deployment. Its reliability and safety are critically dependent on advanced wireless technologies, e.g., vehicle-to-everything (V2X) communication. The frontend of a V2X system needs an antenna module that enables the vehicle to reliably connect to all other networks. Designing V2X antenna is challenging due to the complex in-vehicle environment

The World's First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation

This paper sets up a framework for designing a massive multiple-input multiple-output (MIMO) testbed by investigating hardware and system-level requirements such as processing complexity, duplexing mode and frame structure. Taking these into account, a generic system and processing partitioning is proposed which allows flexible scaling and processing distribution onto a multitude of physically sep