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Hazard Analysis of Collision Avoidance System using STPA

As our society becomes more and more dependent on IT systems, failures of these systems can harm more and more people and organizations both public and private. Diligently performing risk and hazard analysis helps to minimize the societal harms of IT system failures. In this paper we present experiences gained by applying the System Theoretic Process Analysis (STPA) method for hazard analysis on a

Using remote sensing to model carbon source/sink dynamics in the sahel

Recent research has identified the grasslands of the Sahel as a potential carbon sink, but regional carbon stock accounting in such biomes is undermined by the poorly recognized role they play in the carbon cycle as well as lack of data. In this paper, we demonstrate the feasibility of coupling the satellite data-driven light use efficiency model (Lund University Light Use Efficiency Model - LULUE

Psychiatric disorders and leukocyte telomere length: Underlying mechanisms linking mental illness with cellular aging.

Many psychiatric illnesses are associated with early mortality and with an increased risk of developing physical diseases that are more typically seen in the elderly. Moreover, certain psychiatric illnesses may be associated with accelerated cellular aging, evidenced by shortened leukocyte telomere length (LTL), which could underlie this association. Shortened LTL reflects a cell's mitotic history

Navigating Health Applications Realms : Consent Challenges and User Empowerment in European Law

This study delves into the landscape of health applications within online markets. These applications, offering health-related functionalities, have become integral to the lives of European citizens. The transformation of healthcare delivery, accelerated by the pace of modern life and accentuated by the COVID-19 pandemic, has elevated health applications from conveniences to essential tools capabl

MetaDL : Declarative program analysis for the masses

While Datalog provides a high-level language for expressing static program analyses, it depends on external tooling to extract the input facts from the analyzed programs. To remove this dependency, we present MetaDL. The MetaDL system consists of a Datalog language extension for source-level program analysis and tools for generating the language extension from a description of the analyzed languag

OPTIMISATION AND PERFORMANCE QUANTIFICATION ACOUSTIC TRAPPING USING SYNTHETIC NANOPARTICLES

Acoustic trapping is becoming increasingly popular as a tool to isolate and enrich biological nanoparticles [1] (particularly extracellular vesicles [2]), yet an inherent problem with acoustic trapping of nanoparticles is calibration of the trapping efficiency. This abstract presents in-house synthesized nanoparticles with different sound scattering properties, either rigid high density gold nanop

DNA movement in sub-20 nm nanoslits

The movement of XbaI digested O-DNA in 20 nanometer and O-DNA in 12 nanometer high slits was investigated. We found that DNA moved intermittently and following preferential pathways, indicating an important influence of surface roughness. From these intermittent movements two different mobilities were calculated, the total averaged mobilities and averaged mobilities between the intermittent sticki

Extraction of circulating tumor cells from blood using acoustophoresis

We present, for the first time, separation of three different prostate cancer cell lines from leukocyte fractions by means of continuous flow acoustophoresis. This flow-through separation approach, which utilize acoustophoretic forces to extract CTCs from blood has a significant advantage over affinity based methods in the sense that it comprises a non-contact and label free separation of CTCs fro

Vertical nanotubes connected by a subsurface nanochannel

We have built an array of vertical nanotubes connected by a subsurface nanofluidic channel. The nanotube system is to be used for cell injections. By culturing cells on top of the nanotubes the cells will be pierced and molecules can enter the cells via the subsurface channel. Several channels can be made on the same sample and different molecules can be injected into different subpopulations of c

Transcriptomic profiling of T-cell populations in non-muscle invasive and muscle invasive bladder cancer.

Background: Bladder cancer is categorized as non-muscle invasive (NMIBC) or muscle invasive (MIBC). NIMBC makes up around 70% of the cases and although it is less aggressive, the recurrence rate is 50-70%, thus requiring extensive monitoring. Additionally, there is a risk of progression into MIBC with a 5-year survival of only 50% even when treated with radical cystectomy. Immune checkpoint inhibi

Entropy-based spatial heterogeneity analysis in pathological images for diagnostic applications

Clinical pathological diagnosis and prognosis for cancer is often confounded by spatial tissue heterogeneity. This study investigates the utility of entropy as a robust quantitative metric of spatial disorder within Fourier Transform Infrared (FTIR) chemical images of breast cancer tissue. The use of entropy is grounded in its capacity to encapsulate the complexities of pixel-wise spectral intensi

Density-based particle fractionation

We present a label-free method capable of rapidly sorting particles based on their densities. Our device relies on deterministic lateral displacement (DLD) and achieves density fractionation by the use of T-shaped posts. By combining it with a lateral density gradient we achieve a density separation that is independent of size within a range given by the device geometry. Herein we present a proof-

A lipid-based passivation scheme for nanofluidics

Stretching DNA in nanochannels allows for direct, visual studies of genomic DNA at the single molecule level. In order to facilitate the study of the interaction of linear DNA with proteins in nanochannels, we have implemented a highly effective passivation scheme based on lipid bilayers. We show long-term passivation of nanochannel surfaces to several relevant reagents and demonstrate that the pe

Separation of deformable hydrogel microparticles in deterministic lateral displacement devices

To better understand how deformable and non-spherical particles behave in sorting devices based on deterministic lateral displacement we generate models of biological particles with tunable size, shape and mechanical properties using stop-flow lithography and we explore how these parameters play a role in our separation devices. Hollow and solid cylinders are compared with respect to their deforma

A high-throughput deterministic lateral displacement device for rapid and sensitive field-diagnosis of sleeping sickness

We present a simple and rapid microfluidic device capable of extracting and concentrating the parasite causing the fatal disease sleeping sickness (SS) from blood. The device is based on deterministic lateral displacement (DLD) and constructed with a single inlet with flow induced by an ordinary syringe. The simplicity is crucial as the device is intended for use in the resource depraved areas whe

Multiple depths in a deterministic lateral displacement device for field-diagnosis of sleeping-sickness

We present a simple and inexpensive device capable of extracting and concentrating the parasite causing sleeping sickness from blood. The device is aimed at being used in rural resource depraved areas where the disease is endemic; therefore simplicity is of paramount importance. The device is based on deterministic lateral displacement with a single inlet and flow induced by a syringe. Through an

Re-industrialisation and low carbon economy – Can they go together? Results from transdisciplinary scenarios for energy intensive industries

This paper draws upon an extensive transdisciplinary scenario development in the context of the stakeholder oriented preparation of the climate protection plan of the German federal state North Rhine-Westphalia, which is home to the most important heavy industry cluster in Europe. In that context we developed differentiated bottom up climate change mitigation strategies and scenarios for the major

DNA concentration wave formation in pillar arrays

High throughput in particle and molecular sorting schemes is an important performance indicator and can be realized through increased volumetric processing rates or increased concentrations. Here we investigate the effect of increased concentration of high-molecular weight DNA in micropillar arrays for deterministic lateral displacement (DLD). We find that the array imposes regular fluctuations in