AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,325 papers
Non-factional, non-phenomenon-fitting, with complete theoretical support. Every step of derivation and every symbol corresponds to reality, with no mathematical extrapolation. Want to hear the story? Sound Waves / Resonance 2. Satellite Orbit Decay 3. Heat Conduction 4. Macroscopic Fluid Resistance / Terminal Velocity...
In term neonates with birth asphyxia but normal visual findings on conventional magnetic resonance imaging (MRI), accurately identifying of hypoxic-ischemic encephalopathy (HIE) remains challenging. Therefore, this study aims to construct and validate a combined clinical-radiomics model for differentiating HIE from non...
Objectives Accurate localization and classification of jaw cysts and tumours on panoramic radiographs are important for timely referral and treatment planning but remain challenging due to overlapping anatomy, heterogeneous lesion appearances, and dental restorations. This study aimed to develop a 2-stage diagnostic pi...
We develop a multi-phase-field framework to investigate stress-modulated grain boundary grooving in polycrystalline metal interconnects. Larché–Cahn stress-diffusion coupling is incorporated into the surface-diffusion-driven morphological evolution equations, enabling concurrent simulation of free-surface grooving and...
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Abstract Background Understanding how health-related rumor debunking evolves and spreads on social media is critical for public health communication and policy. Existing research, however, has been largely crisis-centered—dominated by studies of specific events, such as the COVID-19 pandemic—and offers limited insight...
We present Version 3.3 of the Q-Rubin framework, a covariant phenomenological ansatz for late-time energy exchange between a pressureless matter-like sector and an emergent dark sector on a four-dimensional brane. Version 3.3 retains the theoretical structure of Version 3.2 and adds the results of a numerical implement...
Medium-energy electron precipitation (MEE; energies between about 30 keV and 1 MeV) in the upper atmosphere is a source of a chain of chemical reactions which ultimately affect temperature and circulation in the lower atmosphere, and is therefore a significant component to be taken into account in chemistry climate mod...
The research surrounds the development and characterisation of a novel 3D-printable synovial tissue analogue (CHA-M), comprised of type I collagen, methacrylated hyaluronic acid and 4-arm PEG SCM. Given the increasing prevalence of bioprinting for 3D modelling and the use of extrusion-based bioprinting for synovial mod...
Preclinical and clinical infectious disease research introducing intravaginal devices containing active agents and probiotic bacteria need to rely on materials that meet appropriate microbiologic standards. However, research methods for quality control of intravaginal devices are poorly described. Here, we develop a pr...
sinistra is a high-throughput drift-diffusion model (DDM) simulator implemented for reproducible parameter recovery, using a per-trial ChaCha8 random stream design that yields bit-identical results across CPU architectures, core counts, and thread counts — not just thread-count invariance. Benchmarked on arm64 (10-core...
Amino acids play a fundamental role in biological processes and have various practical applications. Specifically, they have been considered as promising agents for the preparation of environmentally friendly deep eutectic solvents. To understand the physicochemical behavior of amino acids and their salts on a molecu...
ABSTRACT The present study was aimed at the formulation, development, and optimization of Crisaborole-loaded microspheres using a Design of Experiment (DoE) approach for potential topical drug delivery. Crisaborole is a topical phosphodiesterase-4 inhibitor used in the management of inflammatory skin conditions; howeve...
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.
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