Examination of the satisfaction of psychological needs relates to AI dependency suggests that generative AI may function not only as a compensatory resource for unmet needs, but also as a primary context for need satisfaction, thereby reinforcing dependency-related patterns of use.
O. Parlangeli, Francesco Curro', Margherita Bracci et al.· Proceedings of the 2026 Euro...· 0 citations
Abstract Pleomorphic adenoma is the most common benign salivary gland tumor and most frequently arises in the parotid gland. Although benign, it can recur and may undergo malignant transformation, underscoring the need for experimental models that preserve native tissue features over time. In this study, fresh tumor ti...
Cosima C. Hoch, Tobias Weiser, Fabian Stögbauer et al.· Scientific Reports· 0 citations
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
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TorchEBM is a PyTorch library for generative models defined either by a scalar potential or by a transport between densities. Energy-based models, diffusion, flow matching, and Schrödinger bridges are factored into one set of composable primitives: energies and fields, interpolants, couplings, training objectives, samp...
Soran Ghaderi· 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
Nonlinear Volterra integral equations model several phenomena in a variety of fields, including epidemiology, population growth theory, diffusion and heat transfer problems. In this paper, the analytical solution of a class of nonlinear Volterra integral equations of the second kind is presented using a power series me...
P O Olatunji, Richard Olu Awonusika, Oluwaseun Olumide Okundalaye et al.· Earthline Journal of Mathema...· 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
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
Communication difficulties in older adults are only partially explained by elevated hearing thresholds, suggesting that age-related changes in auditory nerve function contribute to disability beyond conventional measures of hearing sensitivity. Myelin degeneration is increasingly recognized as a fundamental feature of...
Kelly C. Harris, Shelby Payne, James W Dias et al.· medRxiv· 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.