Filetype
This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.
It is common that PID control loops function satisfactorily most of the time, but that they have issues with violating input, state, or output constraints. While MPC solves this problem in principle, it is in practice not straightforward to replace a functioning PID controller with an MPC implementation. This is particularly true for loops that are critical to plant operation, where stops associat
The PID controller is the by far most frequently employed type of controller. As you read, billions of digitally implemented PID controllers are running, shaping the dynamic behavior of anything from the fan speed in your laptop to safety-critical components in nuclear power plants. Given the abundance of commissioned PID controllers, it is surprisingly hard to find a single source that provides a
With increased autonomy in marine vessels, autonomous surface vessels (ASVs) and conventionally manned vessels need to coexist at sea. Any relocation needs to include collision avoidance according to the traffic rules at sea, COLREGs. Here, a local collision-avoidance planner for an archipelago environment is presented. The optimization-based local planner presented considers a predefined nominal
Atmosfäriska partiklar (aerosoler) finns överallt i jordens atmosfär. Masskoncentrationen av dessa varierar kraftigt beroende på i vilken miljö man mäter. I stadsluft kan man uppmäta tiotals mikrogram per kubikmeter medan man i arktiska områden uppmäter nanogram per kubikmeter. De kolhaltiga aerosolerna är kända för att påverka människors och djurs hälsa negativt, framförallt påverkar dessa kroppe
Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. To determine the effects of different regimens of systemic opioid analgesics in neonates (term or preterm) undergoing surgery, on mortality, pain and major neurodevelopmental disability. These different regimens may include: different doses of the same opioid; different routes of administration of
Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. To determine the effects of systemic opioid analgesics in neonates (term or preterm) undergoing surgery, on mortality, pain and major neurodevelopmental disability, compared to placebo or no drug, non-pharmacological intervention, other opioids, or other analgesics or sedatives.
Background: Pancreatic ductal adenocarcinoma (PDAC) is characterized by a prominent desmoplastic stroma, which plays a crucial role in tumor biology and treatment resistance. While the stromal compartment is a defining histopathological feature of PDAC, its prognostic significance remains incompletely understood. This study aimed to quantify the stromal content in PDAC using digital pathology and
The Big Butterfly Count reported its worst results in 14 years of monitoring UK species.
High-pressure blocking events are anticyclones that persist over a region for a long time. Such events prevent vertical mixing of air pollutants due to the subsidence inversion created by the anticyclone. This study investigates the relationship of aerosol concentrations during periods of high-pressure blocking events in southern Sweden for the rural location of Vavihill and the urban location of
Carefully selecting the source data is crucial to achieve high performance of transfer learning methods for brain–computer interfaces (BCIs). Especially so in settings where a large amount of source data is available, and finding the optimal source is not computationally feasible. This paper presents a novel method for source selection, the so-called Transfer Performance Predictor (TPP) method. Th
INTRODUCTION: Resection of intraductal papillary mucinous neoplasm (IPMN) aims to prevent progression to invasive pancreatic cancer. However, the risks of pancreatic surgery and frequent findings of low-grade dysplasia (LGD) raise concerns about overtreatment. This EAHPBA-endorsed multinational study evaluated short- and long-term overall survival (OS) following preventive resection for IPMN (with
The healthcare systems of today are facing large challenges, with increasing amounts of patients and overworked hospital staff. Prostate cancer and Alzheimer’s disease are two of the most prevalent diseases, with incidence numbers expected to rise over the coming decade. Medical imaging plays a central role in current diagnostic procedures for these diseases, enabling the potential use of machine-
Ex vivo (outside of the body) working heart models enable the evaluation of isolated hearts. They are envisioned to play an important role in increasing the currently low utilization rate of donor hearts for transplantation. For the heart to work in isolation, an afterload (flow impedance) is needed. To date, afterload devices have been constructed by combining multiple constituent elements such a
Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simula
An integration of distributionally robust risk allocation into sampling-based motion planning algorithms for robots operating in uncertain environments is proposed. We perform non-uniform risk allocation by decomposing the distributionally robust joint risk constraints defined over the entire planning horizon into individual risk constraints given the total risk budget. Specifically, the determini
