Results 101 to 110 of about 22,732 (252)

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source

Rotating Fluorescent Nanodiamond Assemblies With Focused Laguerre–Gaussian Beams

Advanced Optical Materials, EarlyView.
Self‐assembled fluorescent nanodiamond clusters are optically trapped and driven into controlled two‐dimensional rotation with Laguerre–Gaussian beams. With localized optical excitation, optically detected magnetic resonance spectra are collected at defined points along the orbit in a uniform external magnetic field.
Adam Stewart, Anthony J. El‐Helou, Ying Zhu, David McGloin, David A. Simpson, Peter J. Reece   +5 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Stochastic Gradient Descent with Adaptive Data

Operations Research
Stochastic Gradient Descent with Adaptive Data Stochastic gradient descent (SGD) is a central tool in modern optimization, but its classical theory relies on the assumption that data are independent of the decisions being optimized. In many operations research settings, this assumption fails: policies influence system dynamics, and ...
Ethan Che, Jing Dong, Xin T. Tong
openaire   +2 more sources

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Scaling of hardware-compatible perturbative training algorithms

APL Machine Learning
In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a loss function in hardware and training it via stochastic gradient descent.
B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley   +3 more
doaj   +1 more source

Dual Role of Tamoxifen in Enhancing STING and CEACAM1 Expression to Prime a Favorable Tumor Microenvironment for Anti‐TIM3 Immunotherapy

Advanced Science, EarlyView.
Anti‐PD‐1/PD‐L1 blockade has revolutionized cancer immunotherapy, but is ineffective against endocrine‐treated (i.e., Tamoxifen), relapsed ER+ breast cancer (BC) patients. This study provides insight into the sub‐optimal response of ER+BCs to anti‐PD‐1/PD‐L1 blockade – highlighting the induction of STING and the CEACAM1/TIM3 axis after chronic ...
Marvin Angelo E Aberin, Saurabh Singh, Soumya Chatterjee, Guang‐Zhi Sui, Yi‐Fu Wang, Ya‐Ting Lu, Yu‐Ling Lee, Kun‐Yuan Lin, Joy Khag, Ta‐Yu Liu, Shao‐Han Chang, Wai‐Mui Cheung, Hsiao‐Chin Hong, Ren‐Jun Hsu, Chen‐Yang Shen, Chia‐Wei Li, Weng‐Lang Yang, Yao‐Ming Chang, Shih‐Yu Chen, Chandan Guha, Shu‐Ping Wang   +20 more
wiley   +1 more source

A novel deep learning technique for medical image analysis using improved optimizer

Health Informatics Journal
Application of Convolutional neural network in spectrum of Medical image analysis are providing benchmark outputs which converges the interest of many researchers to explore it in depth.
Vertika Agarwal, MC Lohani, Ankur Singh Bist   +2 more
doaj   +1 more source

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

Advanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang, Qingfei Meng, Hui Jiao, Huixin Liu, Xiangchao Wang, Honglan Zhou, Yishu Wang   +6 more
wiley   +1 more source