This study applies Scheil-Gulliver non-equilibrium solidification modeling, implemented in ProCAST 13.5.2 with the AlDATA 4.2 thermodynamic database, to predict defect-promoting intermetallic phase formation in an AlSi9Mg alloy (Si 9.2, Mg 0.45, Ni 0.19, Fe 0.2, Mn 0.3 wt.%) derived from automotive scrap remelting in C...
V. Yu. Bazhin, P. Fernández· International Journal of Eng...· 0 citations
This repository contains the S&P 500 dataset (n=4{,}211 daily logarithmic returns) and Python code used to empirically motivate the regime-switching framework in the associated manuscript. The code implements the scaled forward--backward EM algorithm to fit a two-state Gaussian hidden Markov model, generating maximum l...
Philip Ajibola Bankole· Zenodo (CERN European Organi...· 0 citations
ABSTRACT The repair of large segmental bone defects requires implants that combine structural stabilization with biological regulation. Here, we developed a bioadaptive modular implant integrating porous titanium (Ti) alloy for structural reinforcement with spatially localized β‐tricalcium phosphate (β‐TCP) modules for...
Heng Zhang, Jingjing Diao, Junhua Ke et al.· Advanced Science· 0 citations
Generative models of protein structures have accelerated scientific discovery. However, the leading structure-prediction models are trained primarily on crystal structures, limiting their ability to sample the conformations of intrinsically disordered proteins (IDPs). All-atom molecular dynamics (MD) simulations can pr...
Olivier Trottier, Jack H. Gwozdecky, Sarah Rauscher· bioRxiv· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
Radiographic inspection automation and defect analysis for industrial non-destructive testing (NDT) are introduced here for the first time. It uses transformer-based global encoding with convolutional local feature extraction to better identify small and low-contrast defects under varying illumination and noise conditi...
Kumar J. Parmar, Damodharan Palaniappan, Ram Mohan N R et al.· Nondestructive Testing And E...· 0 citations
In this paper, we investigate the global dynamics of the benthic-drift patch model, in which individuals in the benthic zone remain stationary while those in the drift zone undergo diffusion and advection with the water flow. We establish threshold dynamics via the principal eigenvalue of the linearized system at the z...
Hua Nie, Qian Qin, Lei Zhang· Journal of Differential Equa...· 0 citations
Renewable Energy Explained: Power Systems, Storage & Sustainable Technologies is a publication-grade Open Educational Resource (OER) module covering the thermodynamic principles, electrochemical modeling, conversion technologies, and grid integration of sustainable power systems. Serving as an integral core module with...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
Abstract The rapid diffusion of artificial intelligence into African higher education has renewed the expectation that technology will close long-standing gaps in educational opportunity. This study argues that the expectation will be disappointed unless the digital learning divide is understood as a socially structure...
BENEDICT MOHAMMED ARUWA, Philomina Achenyo ATTAH, Bodu Saleh BACHUN· Zenodo (CERN European Organi...· 0 citations
Post-training quantization (PTQ) compresses large video-diffusion transformers without fine-tuning, and acceptance tests built from biomechanical measurements of the generated motion have been proposed as an alternative to frame-averaged reconstruction quality. This study examines whether such a test separates quantize...
Alaa Abdullah Albaghdadi· Zenodo (CERN European Organi...· 0 citations
Abstract The rapid diffusion of artificial intelligence into African higher education has renewed the expectation that technology will close long-standing gaps in educational opportunity. This study argues that the expectation will be disappointed unless the digital learning divide is understood as a socially structure...
BENEDICT MOHAMMED ARUWA, Philomina Achenyo ATTAH, Bodu Saleh BACHUN· Zenodo (CERN European Organi...· 0 citations
Post-training quantization (PTQ) compresses large video-diffusion transformers without fine-tuning, and acceptance tests built from biomechanical measurements of the generated motion have been proposed as an alternative to frame-averaged reconstruction quality. This study examines whether such a test separates quantize...
Alaa Abdullah Albaghdadi· Zenodo (CERN European Organi...· 0 citations
This institutional research memorandum presents the architecture, theoretical design, and empirical evaluation of a systematic, multi-asset intraday trading system designed for statistical arbitrage and market making across cryptocurrency perpetual derivatives, equity index derivatives, and CME futures. The system comb...
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.
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
