AbstractThis study treats quantum measurement not as a process that must produce an instantaneous ontological collapse, but as an open-system process that spatially narrows a specified measurement record and stabilizes it against subsequent spreading. The proposed phenomenological model combines system-environment mutu...
Hüseyin YALÇINKAYA· Zenodo (CERN European Organi...· 0 citations
This dataset provides the supporting ground penetrating radar data used for laboratory and field validation in the study “Time-Lapse GPR Imaging of Subsurface Fluid Heterogeneity With Physics-Guided Diffusion-Regularized Full-Waveform Inversion.” The deposited files contain the data required to support the real data an...
Ibrar Iqbal· Zenodo (CERN European Organi...· 0 citations
A theoretical floor is taken to be a fixed target. This paper shows that how much one asks for moves the floor itself──so “how many times the floor” is undetermined without stating the condition. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──osmotic pressure, the...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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ABSTRACT Background Chronic histological inflammation is frequently observed in benign prostate tissue; however, its clinical significance and biological relationship with lower urinary tract symptoms (LUTS) remain incompletely understood. We investigated whether histological inflammation identified in benign prostate...
Naoya Okubo, Minoru Kobayashi, Kazuyuki Ishida et al.· The Prostate· 0 citations
Modern latent diffusion models (LDMs) synthesizephotographic imagery with fidelity that evades human perceptionand frustrates conventional convolutional neural network classi-fiers. Existing forensic detectors rely predominantly on supervisedbinary classifiers that overfit to specific semantic domainsor depend on close...
Debdip Bandyopadhyay· Zenodo (CERN European Organi...· 0 citations
AETERNA SELYE ENGINE (v1.0.0-SINGULARITY) establishes the first mathematically closed, deterministic and stochastic physiological digital twin of the human neuroendocrine Hypothalamic-Pituitary-Adrenal (HPA) axis and Hans Selye's tripartite General Adaptation Syndrome (Alarm, Resistance, Exhaustion). Coupling continuou...
Dimitar Stavrev Prodromov· Zenodo (CERN European Organi...· 0 citations
While Marine Spatial Planning (MSP) is globally recognized as a strategic tool for ocean governance, its implementation in tropical coastal regions faces distinct challenges stemming from fragmented governance and acute conflicts between traditional livelihoods and modern industries. To address these complexities, this...
AETERNA SELYE ENGINE (v1.0.0-SINGULARITY) establishes the first mathematically closed, deterministic and stochastic physiological digital twin of the human neuroendocrine Hypothalamic-Pituitary-Adrenal (HPA) axis and Hans Selye's tripartite General Adaptation Syndrome (Alarm, Resistance, Exhaustion). Coupling continuou...
Dimitar Stavrev Prodromov· Zenodo (CERN European Organi...· 0 citations
Municipal solid waste treatment frequently suffers from structural imbalances because waste disposal institutions prioritize profit over environmental suitability. Policies are often developed in isolation, and technological diffusion is frequently overlooked in dynamic modeling. This study incorporates an aging chain...
This survey provides the first systematic evaluation of human-centric motion modeling, addressing physiological plausibility and identity consistency challenges, and introduces MIME-Vid (Multi-modal Integration with Motion Enhancement for Video Generation) as a conceptual reference framework that operationalises the un...
A. Albaghdadi, A. Naghsh-Nilchi· Artificial Intelligence Revi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.