Results 121 to 130 of about 2,143,165 (258)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

A maturity-aware decision support system for smart circular cities: integrating ISO 37122 and ISO 59020 for policy-oriented assessment. [PDF]

MethodsX
Nathasia ND, Widowati, Widodo AP.
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Natural mathematics and natural logic

, 2014
In his article “Why Proof? What is a Proof?” (2008) Carlo Cellucci focuses on so-called natural mathematics and natural logic, centering on mathematics and logic embodied in organisms as a result of natural selection, and stressing the different role of “
MAGNANI, LORENZO
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

A tutorial on selecting, translating, and reporting variance priors in Bayesian multilevel models. [PDF]

Behav Res Methods
Liu L.
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Stop comparing spells: a defense of mechanistic reasoning in quantitative medicine. [PDF]

Front Digit Health
Mangalam M, Kiyono K.
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Supporting our sustainable future: a shared decision-guiding principle. [PDF]

Natl Sci Rev
Zhang J, Fu B, Zhang N, Pradhan P, Tordesillas A, Meadows ME, Skene KR, Wu X, Batterham R, Bilbao D, Bell AT, Coppens MO, Cummings P, Edwards PP, Gubbins KE, Li J, Ocone R, Reddy D, von Rohr PR, Sachweh B, Williams R, Yang N, Costigan G, de Brito Cruz CH, Oti-Boateng P.   +24 more
europepmc   +1 more source