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Hoe en waarom verschillen generaties binnen familiebedrijven in hun prioriteitstelling tussen verschillende doelstellingen?
Understanding the behavior of process mining analysts: a catalogue of exploratory process mining behaviors
Introduction Process mining is a data-driven discipline focusing on extracting valuable insights from process data consisting of process execution data captured by business information systems. Process mining analysts analyze process data, to gain insights into how the process actually works, which enables them to spot inefficiencies (Van Der Aalst and Van der Aalst 2016). The way the process data is analyzed and insights are gained is better known as the process of process mining. The focus of this research topic is on the human aspect of process mining, investigating the behavior of process mining analysts. Within this research topic, the focus has been mainly on exploratory process mining, a practice focused on gaining an initial understanding of the data, identifying patterns, and Abstract Most research on the process of process mining has focused on exploratory process mining, which is defined as a first exploration of process data to find interesting insights and develop hypotheses. Within this research topic, the focus has been so far on better understanding the behavior of the process mining analysts. However, a comprehensive overview of exhibited behaviors has yet to be established. Such an overview enables a direct comparison of empirical findings and serves as a tool for documenting exploratory process mining behavior. Drawing from (human) ethology, the study of behavior, this paper introduces a catalog of behaviors for exploratory process mining, better known as an ethogram. Through a systematic analysis of published process mining case studies, we identified a first list of behaviors performed during exploratory process mining. This first list was validated and updated using 15 interviews with experienced process mining analysts. The final ethogram consists of 31 behaviors, including "Inspect graphic", "Check assumption", and "Define question". This ethogram provides a vocabulary to describe exploratory process mining behavior in a structured way, contributing to a more comprehensive understanding of the role of a process mining analyst.This study was supported by Research Foundation– Flanders (FWO) under Grant No. 11A2225N and the Special Research Fund (Bijzonder Onderzoeksfonds, BOF) of Hasselt University under Grant No. BOF24TT02.
Acknowledgements This work is an extended version of the paper “Towards an Ethogram of Exploratory Process Mining Behavior” (Van Suetendael et al. 2025b), originally presented at the Empirical Research in Process Mining (ERPM) workshop during the 6th International Conference on Process Mining (ICPM 2024)
Low-power Dynamic logic circuits for flexible electronics
De ontwikkeling van logische poorten op flexibele elektronica is een gebied dat nog grondig moet worden onderzocht. Momenteel worden verschillende logische stijlen gebruikt om logica te maken, die allemaal een hoog statisch stroomverbruik hebben. Deze masterthesis onderzoekt de mogelijkheid om dynamische, energie-efficiënte logica te maken op flexibel substraat.
De eerste benadering was het maken van een vertragende cel voor het cascaden van dynamische logica. Het doel van deze cel is om het rimpelingseffect dat wordt waargenomen in dynamische logica na te bootsen door het signaal met specifieke intervallen door te geven. Een secundaire oplossing die werd overwogen was het gebruik van NAND-poorten in differentiële logica. In deze configuratie functioneert de NAND-poort als de vertragende cel, waardoor het signaal zich kan voortplanten nadat de logische cel zijn berekening voltooid is.
Met behulp van deze voorgestelde logische stijlen en twee-trap resistieve verbruiker logica (2RLL) werd een 4-bit ripple carry-adder ontworpen. Hierop werd een vermogen van 18.6 µW gesimuleerden voor de single-ended logica en 22.8 µW voor de differentiële logica. In tegenstelling tot 2RLL (435 µW) betekent dit een afname van ongeveer 19 keer. Dit verifieert de functionaliteit en energie-efficiëntie van de voorgestelde oplossingen. Het is echter noodzakelijk om te erkennen dat deze cellen een negatieve invloed hebben op de snelheid van het logische circuit. Daarom is het noodzakelijk om efficiëntere cellen te ontwikkelen voor verder werk
When Meta-Analyses Fall Short: The Need to Reframe Evidence Generation Through Real-World Data in Cardiac Rehabilitation
This editorial refers to ‘Exercise-based cardiac rehabilitation for coronary heart disease: the CaReMATCH individual participant data meta-analysis’, by N.A. Stens et al., https:// doi.org/10.1093/eurjpc/zwaf629
Large language models as drivers for robotic control
Mijn masterproef onderzoekt of Large Language Models (LLM's) mobiele robots kunnen navigeren in bekende en onbekende omgevingen zonder gebruik van een ondersteunend framework, waarbij de LLM’s dus zelf het meeste werk doen. De omgeving kan ook obstakels bevatten. De LLM krijgt een bestemming en moet hierheen navigeren via commando’s. Dit werd getest met GPT-4o en Gemini-2.0-Flash in vier scenario’s. Het eerste is het bepalen van de oriëntatie van de robot, wat goed verliep: beide LLM’s slaagden in alle taken. De volgende twee scenario’s zijn grid-based movement (bewegen op een rooster) en free movement (vrije beweging). Zonder obstakels waren de resultaten sterk, maar obstakels bleken een grote uitdaging. In deze scenario’s kent de LLM altijd de positie van de robot. Het laatste scenario is gebaseerd op afstand: de LLM krijgt enkel de afstand tot het doel. De resultaten waren redelijk, maar niet beter dan een eenvoudig algoritme. Algemeen presteren LLM’s behoorlijk in robotnavigatie, maar hebben ze moeite met obstakels, consistentie en het volgen van instructies. Tot LLM’s verder evolueren, lijken ondersteunende systemen nodig
Skeletal Muscle Alterations and Functional Repercussions 2 in Patients with Colorectal Cancer-associated Cachexia
Cancer cachexia causes skeletal muscle wasting and metabolic dysfunction, worsening clinical outcomes in colorectal cancer (CRC). This study examines microscopic and macroscopic skeletal muscle fiber characteristics, and muscle volume in cachectic and non-cachectic CRC patients compared to healthy controls (HCs), and explores how these factors relate to physical performance. In total, 12 cachectic CRC patients, 25 non-cachectic CRC patients, and 25 HCs were included. Cachexia was determined by weight loss and Cachexia Staging Score. Biopsies from the vastus lateralis and erector spinae muscles were analyzed using immunohistochemistry for muscle fiber type cross-sectional area (CSA) and distribution, myonuclear content, and capillary density. Muscle volume was assessed using three-dimensional ultrasound, and CSA and density by computerized tomography scans. Physical function was evaluated with the Short Physical Performance Battery test, handgrip strength, and the Physical Activity Scale for Individuals with Physical Disabilities. Quality of life was assessed using the 36-item Short Form Survey. Cachectic CRC patients showed reduced type II muscle fiber cross-sectional area in the vastus lateralis compared to HCs and non-cachectic CRC patients. Non-cachectic CRC patients exhibited a slow-to-fast muscle fiber shift compared to HCs. Myonuclear content was lower in both cancer groups. Muscle volume and density were reduced in cachectic CRC patients. Positive correlations were found between microscopic and macroscopic skeletal muscle characteristics, muscle strength, physical performance, and quality of life, respectively. CRC patients, especially those with cachexia, showed type II muscle fiber atrophy, reduced myonuclear content, and impaired physical function, emphasizing the need for targeted prehabilitation interventions.Limburgs Kankerfond
Fluorescent Nanodiamonds for Nanoscale Thermometry in Biology
Color centers in diamond and nanodiamonds can be utilized as quantum sensors for measuring various physical parameters, particularly magnetic and electric fields, as well as temperature. Due to its small size and possible surface functionalization, fluorescent nanodiamonds are attractive systems for biological and medical applications since they can be used for intracellular experiments. This review focuses on fluorescent nanodiamonds for thermometry with nanoscale spatial resolution for living systems. The current state of the art, possible further development, and potential limitations will be discussed here.This research received no external funding