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Levodopa-induced dyskinesia (LID) is a debilitating complication of symptomatic therapy in Parkinson's disease. Although there is compelling evidence that striatal pathophysiology is a major driver of LID, the specific circuit mechanisms governing its expression remain obscure. To address this gap, molecular, cellular, and behavioral strategies were used to interrogate circuits in a mouse model of
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
To reduce the load on the UAV operator during long-term search and rescue missions, an on-board automatic system is considered that generates control signals for positioning an additional video camera with a narrow field of view. The requirements for the system of automatic detection of the area of interest are defined. Various methods for detecting objects in images are considered, analyzed and c
Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior. In response to this need and the associated challenges, we introduce our model titled MTP-GO. The model encodes the scene using temporal graph neural networks to produce the inputs to an underlying motion model. The motion model is implemented using neural ordinary differential equ
Given their flexibility and encouraging performance, deep-learning models are becoming standard for motion prediction in autonomous driving. However, with great flexibility comes a lack of interpretability and possible violations of physical constraints. Accompanying these data-driven methods with differentially-constrained motion models to provide physically feasible trajectories is a promising f
The performance of HVAC equipment, including chillers, is continuing to be pushed to theoretical limits, which impacts the necessity for advanced control logic to operate them efficiently and robustly. At the same time, their architectures are becoming more complex; many systems have multiple compressors, expansion devices, evaporators, circuits, or other elements that challenge control design and
The hippocampus is a primary region affected in Alzheimer's disease (AD). Because AD postmortem brain tissue is not available prior to symptomatic stage, we lack understanding of early cellular pathogenic mechanisms. To address this issue, we examined the cellular origin and progression of AD pathogenesis by comparing patient-based model systems including iPSC-derived brain cells transplanted into
This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates the ability of the interaction-aware interacting multiple model Kalman filter (IAIMM-KF) to predict interactive multi-modal maneuvers of surrounding vehicles, and the advantage of model predictive control (MPC) in planning an op
L-DOPA-induced dyskinesia (LID) is a debilitating complication of dopamine replacement therapy in Parkinson's disease and the most common hyperkinetic disorder of basal ganglia origin. Abnormal activity of striatal D1 and D2 spiny projection neurons (SPNs) is critical for LID, yet the link between SPN activity patterns and specific dyskinetic movements remains unknown. To explore this, we implemen
In this issue, “25 Years Ago” revisits the article “Out of Control Because of Harmonics: An Analysis of the Harmonic Response of an Inverter Locomotive,” by Erik Möllerstedt and Bo Bernhardsson, in IEEE Control Systems Magazine, vol. 20, no. 4, pp. 70–81. Below is an excerpt from the article.
This study investigates the neural encoding of speech features in hearing aid users using electroencephalography (EEG) during a simulated cocktail party scenario. The objective was to investigate neural tracking of various acoustic and linguistic features and how hearing aid noise reduction influenced this tracking. The features analyzed included the acoustic envelope, phonetic features, word onse
This paper addresses the path-tracking problem of time-optimal trajectories under model uncertainties, by proposing a real-time predictive scaling algorithm. The algorithm is formulated as a convex optimization problem, designed to balance the trade-off between improving feasibility and time optimality of a trajectory. The predicted trajectory is scaled based on the presence of path segments that
Direct lineage reprogramming of glial cells to induced neurons has the potential for restoring brain circuits and function in neuronal disorders and states. We introduce three-dimensional (3D) human glia reprogramming into neurons with a GABAergic interneuron phenotype using stem cell-derived human glia. Single-nucleus RNA sequencing of the converted cells demonstrates distinct neuronal clusters w
Open and shared government data and services offer an instrument for achieving innovation, interoperability, and transparency in public services but require relevant competency, resources, and culture to realise, something that the public sector actors often lack. In this case study, we exemplify how these challenges to data sharing may be tackled through horizontal coordination in the case of Tra
Context Developing compilers and static analysis tools (“language tools”) is a difficult and time-consuming task. We have previously presented property probes, a technique to help the language tool developer build understanding of their tool. A probe presents a live view into the internals of the compiler, enabling the developer to see all the intermediate steps of a compilation or analysis rather
In the software industry, the drive to add new features often overshadows the need to improve existing code. Large Language Models (LLMs) offer a new approach to improving codebases at an unprecedented scale through AI-assisted refactoring. However, LLMs come with inherent risks such as braking changes and the introduction of security vulnerabilities. We advocate for encapsulating the interaction
