Despite a long history and the vast number of applications demonstrated, very few market products incorporate acoustophoresis. Because a human operator must run and control a device during an experiment, most devices are limited to proof of concepts. On top of a possible detuning due to temperature changes, the human operator introduces a bias which reduces the reproducibility, performance and rel

Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of state-of-the-art studies in the epilepsy domain currently explore modern machine learning techniques, e.g., deep neural networks, to accurately

Over recent decades, use of insecticides to protect plants from pests and harmful insects have increased manyfold. Neonicotinoid insecticides, such as Imidacloprid (IMI) acts as partial agonists on nicotinic acetylcholine receptors which are widely present in both the central and peripheral nervous system of insects. Pollinators like Eristalis tenax are frequently exposed to these pesticides but h

Droplets generated by talking and coughing play a major role in the spreading of COVID-19. There is thus a need for accurate measurements of the physical properties of exhaled droplets, including their number, speed and direction.Several challenges are associated with imaging coughed droplets such as high droplet speed near the mouth where both short exposure time to freeze droplet motion and kHz

In 2009, the BergaåsenWater Supply Scheme was put into operation to ensure the future drinking water supply of two municipalities in southern Sweden. Bergaåsen replaced two vulnerable water treatment plants. It was implemented in an environment that was characterized by sensitive recipients and limited access to water. This article aims to analyze how strategies were developed to meet sustainabili

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

We study sharp-edge structures that are used in microfluidic systems for particle and cell manipulation. Experiments show that oscillating sharp edges can attract or repel particles suspended in a microfluidic channel. This effect is caused by acoustic radiation forces induced by sharp edges. We propose an analytical theory that allows one to evaluate the acoustic radiation force produced by a sha

At present time, it has been stated that “Human activities, principally through emissions of greenhouse gases, have unequivocally caused global warming, with global surface temperature reaching 1.1°C above 1850–1900 in 2011–2020”. Therefore, understanding the consequences of human activities on present and future climate is one of the most important issues of this century. It is not the first time

In this project, RAM, we wanted to question today’s consumption of furniture and create furniture with longevity in mind. Explore the possibilities of designing furniture that would grow with you through life to avoid having the need to buy new in different stages of life. The project resulted in a storage system that can adapt to different living situations which can accrue through life. O

In Sweden, a sustainability index (SI) has been used since 2014 as an internal benchmark management tool to analyse and steer municipal water and wastewater (WW) activities toward sustainability. A consistent trend in national results from SI across all years is that while day-to-day operations are working well, there are deficiencies in strategies for long-term planning. The nationalresults show

Konferensabstrakt presenterat vid Svenska IVRs (Svenska sektionen av den internationella sammanslutningen för rätts- och socialfilosofi) konferens den 2-3 maj 2023 i Göteborg av Karl Dahlstrand.Skadeståndslagen fyllde 50 år förra året 2022 vilket uppmärksammades i antologin ”Skadeståndslagen 50 år” (Chamberlain, J., Hellborg, S., Hovi, S., Johansson, D. & Stenlund, K. red. 2022). I mitt kapite

Background: Early conversations about patients’ goals and values improve care, but clinicians struggle to conduct them. The systems-based Serious Illness Care Program (SICP) helps clinicians have more, better, and earlier conversations. Central to this approach is a clinician conversation guide for patient encounters. While the SICP works for practicing clinicians, it has not been tested with medi

This article aims to explore what working from home during the COVID-19 pandemic means for workplace relationships. This study is based on semi-structured interviews with Swedish knowledge workers. Three approaches are identified as regards how employees maintain their workplace relationships when working from home: (1) being selective as regards social interactions, (2) being compliant and resist

Understanding the effect of Myc on lung cancer immune signalling in vitro and in vivo Immune checkpoint blockade therapy (ICBT) is a promising treatment option that is commonly used for advanced non-small cell lung cancer (NSCLC). Immune checkpoint inhibitors targeting the PD-1/PD-L1 interaction have demonstrated remarkable effects. Blocking the PD-1/PD-L1 axis restores tumor cell recognition and

Objective Although important treatment decisions are made in the Emergency Department (ED), conversations about patients’ goals and values and priorities often do not occur. There is a critical need to improve the frequency of these conversations, so that ED providers can align treatment plans with these goals, values, and priorities. The Serious Illness Conversation Guide has been used in other c

Deep learning, the study of multi-layered artificial neural networks, has received tremendous attention over the course of the last few years. Neural networks are now able to outperform humans in a growing variety of tasks and increasingly have an impact on our day-to-day lives. There is a wide range of potential directions to advance deep learning, two of which we investigate in this thesis:(1) O