Oxford Principles of European Union Law, Volume II: The Internal Market

editorial reviewe

Bridging the Gap: How Process Mining Practitioners and Researchers Address Data Quality Issues

Process mining integrates process science and data science to analyze workflows using event logs. As an academic discipline, it has seen rapid adoption in industry, often combined with machine learning and automation. Here, we explore how researchers and practitioners approach data quality issues found in event logs and how they apply preprocessing techniques to solve such issues. Results show that practitioners often undervalue data quality challenges and rely on basic methods, likely due to limited experience and dependence on commercial tools. On the other hand, researchers prioritize diverse and advanced preprocessing techniques and view data quality issues as critical in process mining projects. Respondents with dual roles demonstrate specific expertise, addressing diverse challenges with data quality issues and applying more complex preprocessing techniques. The study emphasizes the need for collaboration between academia and industry, integrating process mining into education, and enhancing tool capabilities. These steps can bridge knowledge gaps, promote best practices, and advance research and practical application in process mining.9. Industry, innovation and infrastructurev

Challenges in completing EMU: asymmetric competition vs fiscal harmonisation. A case study of the Benelux countries

peer reviewedThis paper aims to investigate the concept, context and socio-economic consequences of fiscal competition in the integrated economic space of EMU in completion, to pinpoint the positive and negative factors at work via a case study of the Benelux countries – both founder members of the EU and pioneers of EMU – and to examine the impact on European and international regulations in the field. In particular, it will endeavour to provide a comprehensive interpretation of fiscal policy in the Benelux countries via a comparative approach and from a historical perspective. It will look at the development of respective domestic fiscal policies, driven by national interests and by membership of a Community that is subject to requirements in terms of harmonisation and taxation, but also by constant contact (and frequent clashes) with the multilateral international environment

Evaluer pour la qualité de l’expérience d’apprentissage

Cette présentation propose un cadre conceptuel et une méthode pour décrire et comprendre les pratiques d’apprentissage des étudiants dans les dispositifs hybrides de formation. Après avoir présenté les questions et hypothèses de recherche guidant la démarche, une illustration proposée sur la base d’une recherche exploratoire montrera comment la description de pratiques d’apprentissage d’étudiants confrontés à des dispositifs hybrides contrastés permet de mieux les comprendre en fonction des caractéristiques des dispositifs et de caractéristiques des étudiants et de suggérer des recommandations aux étudiants et enseignants pour améliorer pratiques d’apprentissage et dispositifs hybrides.4. Quality educatio

The Science of Desire: Beauty, Masculinity, and Ideology on the Far Right

peer reviewedScores of male right-wing influencers offer advice to young men online on fitness, diet, and bodybuilding. Representations of the “right” kind of man draw attention to rippling muscles, square jaws, and beautifully symmetrical faces as evidence of racial superiority. This contemporary resurgence of “body fascism” in the hypersemiotized online spaces of the far right, however, remains underexamined. In this article, we analyze Man’s World magazine, a digital publication edited by the neofascist lifestyle influencer “Raw Egg Nationalist.” Through gendered semiotic and linguistic anthropological analysis of the text, we argue that hardness, understood in myriad ways, is the moral flavor of a far-right masculinist speech register that combines elements of mental fortitude, muscular strength, sexual potency, and physical beauty at the individual level with racial renewal and national invulnerability at the political level. We show how readiness for violence and the “return” to traditional masculine violence are legitimated through graftings onto scientific and academic registers, and how neofascist influencers ultimately operate within boundaries delimited by neoliberal modernity. We argue that the production of a “dissident” right-wing male subjectivity is intimately interwoven with the dissemination and use of this register.</p

Anmerkung zu Änderung der Durchführungsverordnung zum einheitlichen Patentschutz aufgrund der Umsetzung des 14. EU-Sanktionspakets gegen Russland

editorial reviewe

Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles Using V2X Communication and Hybrid Computing

peer reviewedA key challenge for autonomous driving lies in maintaining real-time situational awareness, particularly in complex urban settings. This study introduces an innovative cloud-driven solution for 360-degree perception in autonomous vehicles using vehicle-to-everything (V2X) communications. Our approach utilizes transformer-based models to fuse multi-camera sensor data into a comprehensive bird’s-eye view (BEV) representation, enabling accurate 3D object detection. By offloading computationally intensive tasks to the cloud, the system achieves scalable processing while reducing latency. In addition, techniques such as feature vector clipping, compression, and quantization are applied to optimize data transmission, ensuring real-time performance. Experimental results show an over 79.2% reduction in end-to-end delay compared to onboard-only computing. These experiments validate the integration of AI and V2X technology to enhance autonomous vehicle perception.Infrastructure Assisted Cooperative Driving Strategy For Connected Vehicles (Acdc)9. Industry, innovation and infrastructur

Population Diversity and Economic Growth: A Meta‐Regression Analysis

peer reviewedIn this study, we apply meta‐regression techniques to 1537 estimates derived from 83 studies that investigate the effect of population diversity on economic growth. We find a subtle inclination toward publishing results that assert a negative correlation between diversity and economic growth, indicating a mild publication bias. However, the extent and direction of this bias vary according to the specific diversity dimension considered. After adjusting for both publication bias and the methodological quality of the underlying studies, our results indicate that while ethnic and linguistic diversity exhibit a small and statistically insignificant positive effect on economic growth, the remaining diversity dimensions—namely religious, genetic, birthplace, and other forms of diversity—exert a significant positive impact on growth, with effect sizes ranging from moderate to large. Additionally, our findings reveal that the reported estimates are influenced by several factors, including the methodologies employed by researchers in measuring economic growth and diversity, the characteristics of the data and estimation techniques utilized, and the consideration of other growth‐related factors

A practical guide to machine learning interatomic potentials – Status and future

peer reviewedThe rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not experts but wish to use these tools. The spirit of this review is to help such researchers by serving as a practical, accessible guide to the state-of-the-art in MLIPs. This review paper covers a broad range of topics related to MLIPs, including (i) central aspects of how and why MLIPs are enablers of many exciting advancements in molecular modeling, (ii) the main underpinnings of different types of MLIPs, including their basic structure and formalism, (iii) the potentially transformative impact of universal MLIPs for both organic and inorganic systems, including an overview of the most recent advances, capabilities, downsides, and potential applications of this nascent class of MLIPs, (iv) a practical guide for estimating and understanding the execution speed of MLIPs, including guidance for users based on hardware availability, type of MLIP used, and prospective simulation size and time, (v) a manual for what MLIP a user should choose for a given application by considering hardware resources, speed requirements, energy and force accuracy requirements, as well as guidance for choosing pre-trained potentials or fitting a new potential from scratch, (vi) discussion around MLIP infrastructure, including sources of training data, pre-trained potentials, and hardware resources for training, (vii) summary of some key limitations of present MLIPs and current approaches to mitigate such limitations, including methods of including long-range interactions, handling magnetic systems, and treatment of excited states, and finally (viii) we finish with some more speculative thoughts on what the future holds for the development and application of MLIPs over the next 3–10+ years

Genome-wide association meta-analyses of drug-resistant epilepsy

peer reviewedBackground Epilepsy is one of the most common neurological disorders, affecting over 50 million people worldwide. One-third of people with epilepsy do not respond to currently available anti-seizure medications, constituting one of the most important problems in epilepsy. Little is known about the molecular pathology of drug resistance in epilepsy, in particular, possible underlying genetic factors are largely unknown. Methods We performed a genome-wide association study (GWAS) in two epilepsy cohorts of European ancestry, comparing drug-resistant (N = 4208) to drug-responsive individuals (N = 2618) followed by meta-analyses across the studies. Next, we performed subanalyses split into two broad subtypes: acquired or non-acquired focal and genetic generalized epilepsy. Findings Our drug-resistant versus drug-responsive epilepsy GWAS meta-analysis showed no significant loci when combining all epilepsy types. Sub-analyses on individuals with focal epilepsy (FE) identified a significant locus on chromosome 1q42.11-q42.12 (lead SNP: rs35915186, P = 1⋅51 × 10 −8 , OR[C] = 0⋅74). This locus was not associated with any epilepsy subtype in the latest epilepsy GWAS (lowest uncorrected P = 0⋅009 for FE vs. healthy controls), and drug resistance in FE was not genetically correlated with susceptibility to FE itself. Seven genome-wide significant SNPs within this locus, encompassing the genes CNIH4, WDR26, and CNIH3, were identified to protect against drug-resistant FE. Further transcriptome-wide association studies (TWAS) imply significantly higher expression levels of CNIH3 and WDR26 in drug-resistant FE than in drug-responsive FE. CNIH3 is implicated in AMPA receptor assembly and function, while WDR26 haploinsufficiency is linked to intellectual disability and seizures. These findings suggest that CNIH3 and WDR26 may play a role in mediating drug response in focal epilepsy. Interpretation We identified a contribution of common genetic variation to drug-resistant focal epilepsy. These findings provide insights into possible mechanisms underlying drug response variability in epilepsy, offering potential targets for personalised treatment approaches