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Personalized seizure signature : An interpretable approach to false alarm reduction for long-term epileptic seizure detection

Objective: Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific approach based on similarly occurring morphological electroencephalographic (EEG) signal patterns could be used to distinguish seizures from nons

11152017 679 79 mp56 hagopian pediatrics 2017

PEDS_20171305 1..3 Article Hagopian et al Co-occurrence of Type 1 Diabetes and Celiac Disease Autoimmunity 2017 https://doi.org/10.1542/peds.2017-1305 5 Pediatrics ROUGH GALLEY PROOF November 2017 140 Co-occurrence of Type 1 Diabetes and Celiac Disease Autoimmunity William Hagopian, MD, PhD, a Hye-Seung Lee, PhD, b Edwin Liu, MD, c Marian Rewers, MD, MPH, c Jin-Xiong She, PhD, d Anette-G. Ziegler,

https://www.teddy.lu.se/sites/teddy.lu.se/files/11152017_679_79_mp56_hagopian_pediatrics_2017.pdf - 2026-05-19

Industridoktorandavtal MALL - 2024-02-15

Uppdragsavtal PAGE 1(4) Denna mall reglerar förutsättningarna om anställning som industridoktorand. Blir det aktuellt med ett samarbetsprojekt mellan LU och företaget ska en sådan situation regleras i ett separat samarbetsavtal. Avtal om finansiering av industridoktorand Mellan Lunds universitet , institutionen för …….. , härefter benämnt LU, och [företagets namn, organisationsnummer och adress] h

https://www.staff.lu.se/sites/staff.lu.se/files/2024-02/Industridoktorandavtal%20MALL%20-%202024-02-15.doc - 2026-05-19

88 10262018 679 88 MP165a Bonifacio PLOS Med 2018

Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children RESEARCH ARTICLE Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children Ezio Bonifacio1, Andreas Beyerlein2,3,4, Markus Hippich2,3,4, Christiane Winkler2,3,4, Kendra Vehik5, Michael N. Weedon6, Mic

https://www.teddy.lu.se/sites/teddy.lu.se/files/2021-11/88%2010262018_679_88_MP165a_Bonifacio_PLOS%20Med_2018.pdf - 2026-05-19

Corvellec stal sjm author preprint-archiving-march23 2019

1 Qualification as corporate activism: How Swedish apparel retailers attach circular fashion qualities to take- back systems Hervé Corvellec Department of Service Studies, Lund University, herve.corvellec@ism.lu.se Herman I. Stål* Umea School of Business and Economics (USBE), Research Institute for Ethics and Sustainability in Business (RiseB), Umea University, herman.stal@umu.se * Author for corr

https://www.ses.lu.se/sites/ses.lu.se/files/corvellec_stal_sjm_author_preprint-archiving-march23_2019.pdf - 2026-05-19

Compositional dataflow analysis via abstract transition systems

Fully precise static analysis of program behavior is undecidable in theory and infeasible in practice. While individual static analyses can prove specialized invariants about program behavior or resolve narrow ambiguities, real programs are complex composites of many different abstractions and programming patterns. State-of-the-art approaches to program analysis thus generally rely on composite an

Dynamic Dependency-Based Purity Checking

Many software language tools use declarative domain-specific languages (DDSLs) to implement parts of their functionality, such as context-free grammars for parsing or inference rules for type analysis. For interoperability and ease of use, DDSLs often rely on embedded general-purpose language (GPL) code fragments, as in the semantic actions of parser specifications, but require that these GPL frag

Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learning

Objective. This study aimed to investigate the potential of contrastive learning to improve auditory attention decoding (AAD) using electroencephalography (EEG) data in challenging cocktail-party scenarios with competing speech and background noise. Approach. Three different models were implemented for comparison: a baseline linear model (LM), a non-LM without contrastive learning (NLM), and a no

Fine-tuning Myoelectric Control through Reinforcement Learning in a Game Environment

Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly focused on Supervised Learning (SL) techniques to tackle this problem. However, obtaining high-quality labeled data that accurately represents muscle activity during daily usage remains difficult. We investigate th

Perception, control, and hardware for in-hand slip-aware object manipulation with parallel grippers

Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding

An Abstraction Is Worth a Thousand Vibes

In the last column, we promised to return to one of the inevitable challenges that vibe coding leaves us with. At the AI Engineer World’s Fair 2025, OpenAI’s Sean Grove claimed that whoever writes the specification is now the programmer since AI can take it from there. Sounds amazing, but what gets lost along the way? To explore this, I’m joined by Jan-Philipp Steghöfer, a researcher at XITASO and

Application of Control Theory to a Commercial Mobile Service Support System

The Mobile Service Support system (MSS), which Ericsson AB develops, handles the setup of new subscribers and services into a mobile network. Experience from deployed systems show that traffic monitoring and control of the system will be crucial for handling overload situations that may occur at sudden traffic surges. In this paper we identify and explore some important control challenges for this

NARX-based multi-step ahead response time prediction for database servers

Advanced telecommunication applications are often based on a multi-tier architecture, with application servers and database servers. With a rapidly increasing development of cloud computing and data centers, characterizations of the dynamics for database servers during changing workloads will be a key factor for analysis and performance improvements in these applications. We propose a multi-step a

Increasing, not Diminishing : Investigating the Returns of Highly Maintainable Code

Understanding and effectively managing Technical Debt (TD) remains a vital challenge in software engineering. While many studies on code-level TD have been published, few illustrate the business impact of low-quality source code. In this study, we combine two publicly available datasets to study the association between code quality on the one hand, and defect count and implementation time on the o

Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process

Linear quadratic (LQ) control optimizes a quadratic cost function while following a linear model. It is commercially available in the process industry but often not labeled as such and infrequently used. Froth flotation is a process in the minerals industry that extracts precious metals from a slurry of finely ground rock in consecutive tanks called cells. Flotation cells are often arranged in two

Training healthcare students to be competent communication partners : a scoping review

Purpose: People with acquired neurogenic Communication Disorders (PwCD) experience reduced satisfaction in healthcare environments, possibly relating to communication difficulties. Communication Partner Training might improve communication success. The purpose of the scoping review was to map the literature about educational experiences in teaching communication strategies to healthcare students (

Falsification of Cyber-physical Systems Using Bayesian Optimization

Cyber-physical systems (CPSs) are often complex and safety-critical, making it both challenging and crucial to ensure that the system's specifications are met. Simulation-based falsification is a practical testing technique for increasing confidence in a CPS's correctness, as it only requires that the system be simulated. Reducing the number of computationally intensive simulations needed for fals