Results 131 to 140 of about 1,818,334 (300)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Recurrence-free survival (RFS) and Overall survival (OS) curves after inverse probability of treatment weighting analysis.

Recurrence-free survival (RFS) and Overall survival (OS) curves after inverse probability of treatment weighting analysis.
Chun-Xiu Lu (18004494), Hang-Hang Ni (18004488), Cheng-Lei Yang (14425281), Bang-De Xiang (381908), Yu-Ting Lv (18004491), Zhan Lu (252825)   +5 more
core   +1 more source

Nonprescription Magnesium Supplement Use and Risk of Heart Failure in Patients With Diabetes: A Target Trial Emulation

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Background Both diabetes and low magnesium‐containing food intake may increase the risk of heart failure (HF). However, the effect of nonprescription magnesium supplements on the risk of HF or major adverse cardiac events in patients with diabetes is ...
Yan Cheng, Andrew R. Zullo, Ying Yin, Yijun Shao, Simin Liu, Qing Zeng‐Treitler, Wen‐Chih Wu   +6 more
doaj   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Estimation of the Marginal Causal Risk Ratio in Survival Data Using Inverse Probability Treatment Weighting (IPTW)

مجله اپیدمیولوژی ایران, 2018
One of the traditional methods used for the analysis of survival data is the Cox regression technique. This method calculates the conditional risk ratio.
N, , , , H Poustchi, M Yaseri
doaj  

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

Advanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang, San Nam, Dayul Nam, In‐Soo Kim, Myung‐Gil Kim, Sung Kyu Park, Yong‐Hoon Kim   +6 more
wiley   +1 more source

Cardioplegia Strategies in Minimally Invasive Aortic Valve Replacement: An Inverse Probability of Treatment Weighting Analysis

Medicina
Background and Objectives: Optimal myocardial protection during minimally invasive aortic valve replacement (MIAVR) is debated. We compared four cardioplegia strategies.
Lukman Amanov, Sadeq Ali-Hasan-Al-Saegh, Arian Arjomandi Rad, Antonia Annegret Jauken, Prokopis-Andreas Zotos, Jawad Salman, Thanos Athanasiou, Ezin Deniz, Stefan Ruemke, Bastian Schmack, Arjang Ruhparwar, Alina Zubarevich, Alexander Weymann   +12 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Overall survival (OS) and recurrence-free survival (RFS) curves before and after inverse probability of treatment weighting analysis.

The PFS curve(A) and OS curve(B) before inverse probability of treatment weighting analysis. The PFS curve(C) and OS curve (D) after inverse probability of treatment weighting analysis. C. sinensis, Clonorchis sinensis; HBV, Hepatitis B virus.
Chun-Xiu Lu (18004494), Hang-Hang Ni (18004488), Cheng-Lei Yang (14425281), Bang-De Xiang (381908), Yu-Ting Lv (18004491), Zhan Lu (252825)   +5 more
core   +1 more source