Results 171 to 180 of about 208,817 (276)

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

The SPL-family transcription factor MpSPL3 orchestrates the proper regulation of vegetative and reproductive programs in Marchantia polymorpha. [PDF]

Plant J
Alisha A, Jarmolowski A, Szweykowska-Kulinska Z, Sierocka I.   +3 more
europepmc   +1 more source

Cup-and Ring-Markings: Their Origin and Significance. [PDF]

The Journal of the Royal Anthropological Institute of Great Britain and Ireland, 1911
openaire   +1 more source

The Cord Weekly (May 24, 1990) [PDF]

, 1990

core   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Loss of oligodendrocyte transcription factor 2 protein expression in metabolically stressed oligodendrocytes. [PDF]

Acta Neuropathol
Kaddatz H, Wenzel L, Pril E, Meien S, Harz V, Burkert L, Behrangi N, Zimmermann A, Frintrop L, Amor S, Kipp M, Heinig L.   +11 more
europepmc   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Quantifying household liquid medicine dosing errors in Sri Lanka: A hidden public health risk. [PDF]

PLOS Glob Public Health
Jayasinghe M, Madhushika H, Wijesekera K, Subasinghe S.   +3 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Worked human bones and the rise of urban society in the neolithic Liangzhu culture, East Asia. [PDF]

Sci Rep
Sawada J, Uzawa K, Yoneda M, Hagihara Y, Itahashi Y, Gakuhari T, Kubota S, Liu B, Wang N, Chen M, Wang Y, Song S, Kikuchi H, Maruyama M, Okazaki K, Takamuku H, Saeki F, Nara T, Nakamura S.   +18 more
europepmc   +1 more source