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The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management, database infrastructure, and validation. The use of these systems to prepare the data for physics analysis and assess its quality are described, along with the
INTRODUCTION: Amyloid-induced tauopathy drives clinical decline in Alzheimer's disease (AD). Because age and sex shape tau trajectories, defining patient-centered amyloid thresholds for tauopathy onset could facilitate pre-tauopathy AD identification and aid treatment decisions and prognosis. METHODS: By including two samples (Alzheimer's Disease Neuroimaging Initiative [ADNI, n = 301]; and 18F-AV
In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce
Motivation Machine learning offers a powerful approach for building predictive models from high-dimensional molecular data. Omics technologies such as transcriptomics, proteomics, and metabolomics quantify thousands of molecules simultaneously, providing deep insights into disease biology. Integrating multiple modalities can enhance predictive performance, as shown in histology-omics and holter-om
Epilepsy affects more than 50 million individuals worldwide, and approximately one-third of patients remain refractory to existing antiseizure medications. Advances in gene therapy and genome editing have opened new possibilities for disease-modifying interventions that directly target the molecular and circuit-level mechanisms underlying epileptogenesis. Recent progress in central nervous system
Integrating multi-modal patient data to support personalized medicine has gained a lot of interest across different health domains over the past decade. Addressing this challenge requires the development and implementation of an informed, evidence-based AI-driven decision-support system continuously maintained and updated to align with the latest clinical guidelines. A key challenge to ensure its
We study and solve the previously unstudied problem of finding both transmitter and receiver positions using only time of arrival (TOA) measurements when there is a difference in dimensionality between the affine subspaces spanned by receivers and transmitters. Anchor-free TOA network calibration has uses both in radio, radio strength and sound applications, such as calibrating ad hoc microphone a
The aim of this study was to evaluate how the fixed furniture dimensions match with students' anthropometry and to describe head, upper back and upper limbs postures and movements. Evaluation was performed in 48 students from a Brazilian state school. Furniture dimensions were measured with metric tape, movements and postures by inclinometers (Logger Tecknologi, Akarp, Sweden). Seat height was hig
An activity-based vocabulary for Voice Output Communication Aids (VOCAs) was designed and evaluated through a user-centred, iterative design process, using expressions from the Gothenburg Spoken Language Corpus as well as other recorded, natural conversations. The growth and development of the vocabulary, called Phrases, was closely linked to its evaluation. The iterative design process included p
Service discovery is central in pervasive middleware systems, built on top of the communication substrate using the more fundamental mechanisms for device discovery. In mobile pervasive systems devices come and go, and switch network frequently, demanding support for device discovery across heterogeneous networks. We present the design of a device discovery mechanism for the PalCom middleware that
This is the third of three chapters on diffusion MRI acquisition for tractography. Tractography is performed extensively in the in vivo adult brain, and sequences used for the in vivo adult brain have been covered in detail in Chapter 7. However, tractography is also performed in ex vivo human brain, in both the in vivo and ex vivo animal brain of various nonhuman species, in the human brain durin
Medical image segmentation is a critical component in a wide range of clinical applications, enabling the identification and delineation of anatomical structures. This study focuses on segmentation of anatomical structures for 3D printing, virtual surgery planning, and advanced visualization such as virtual or augmented reality. Manual segmentation methods are labor-intensive and can be subjective
Background and aim. In rural areas, economic and demographic shifts often leave buildings vacant due to functional and locational obsolescence. However, these buildings hold significant value in terms of embodied energy, natural resources, economic capital, and cultural heritage. The real estate sector urgently needs innovative space use strategies and business models to tackle rising vacancy rate
Predicting the evolution of complex systems governed by partial differential equations remains challenging, especially for nonlinear, chaotic behaviors. This study introduces Koopman-inspired Fourier neural operators and convolutional neural networks to learn solution advancement operators for flame front instabilities. By transforming data into a high-dimensional latent space, these models achiev
With global food supply chains becoming more complex, the credibility of the food sector is under threat due to the loss of public trust with rising food fraud cases such as the horsemeat scandal, Chinese milk scandal, etc. Therefore, it has become essential to promote transparency and real-time visibility of the food supply chain from farm to fork to address the demand of all the stakeholders inv
OBJECTIVE: Sarcopenia (loss of muscle strength/mass) reduces physical performance (walking, strength, mobility) and is common in Parkinson's disease (PD), but data on newly diagnosed, untreated patients ("de novo") are scarce. Fatigue is frequent in PD and linked to physical decline and malnutrition, key sarcopenia risk factors. We aimed to describe sarcopenia prevalence, malnutrition risk, and fa
With the advent of digitalization, the economy of the world is quickly changing itself and Indian Small and Medium Enterprises (SMEs) are the front runners. This study sheds light on how digital transformation is crucial to support the growth, competitiveness, and sustainability in the present business environment, and how digital transformation is important to the SMEs in India. To encourage SMEs
