Results 211 to 220 of about 93,121 (296)

Physics-Informed Neural Network-Based Inverse Framework for Time-Fractional Differential Equations for Rheology. [PDF]

Biology (Basel)
Thakur S, Mitra H, Ardekani AM.
europepmc   +1 more source

Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites

Advanced Science, EarlyView.
Experimental and computational phonon analysis of ABO3‐type proton conductor BaSnO3 shows that substitution on the B‐site with yttrium forms an imaginary phonon mode which is instrumental for the function as proton conductor. This overcompensates the adverse proton trapping effect of the yttrium.
Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Stephen P. Cramer, Qianli Chen, Artur Braun   +8 more
wiley   +1 more source

A Proposal for Homoskedastic Modeling With Conditional Auto-Regressive Distributions. [PDF]

Stat Med
Martinez-Beneito MA, Adin A, Goicoa T, Dolores Ugarte M.   +3 more
europepmc   +1 more source

Catalytic Electron‐Driven Non‐Equilibrium Phase Transition in Quantum Electronic Heterostructures

Advanced Science, EarlyView.
This study proposes an innovative method to control the phase of heterostructured materials via electron flow manipulation. Leveraging this technique, a new topological phase is achieved that hosts excitons at the interface of a topological insulator.
Byung Cheol Park, Sahng‐Kyoon Jerng, Seung‐Hyun Chun, Hyeon Suk Shin, Fabian Rotermund, Bumki Min   +5 more
wiley   +1 more source

Invertible liquid neural network-based learning of inverse kinematics and dynamics for robotic manipulators. [PDF]

Sci Rep
Zhang Y, Chen Q, Gao L, Liu R, Chu L, Mo K, Kang Z, Huang W, Zhang X.   +8 more
europepmc   +1 more source

A note on the Browder’s theorem and a Cline’s formula for generalized Drazin-g-meromorphic inverses

Ankit Kumar, Manu Rohilla, Rattan Lal
openalex   +2 more sources

The Generalized Ridge Estimator of the Inverse Covariance Matrix

, 2019
Wessel N. van Wieringen
openalex   +1 more source

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

Advanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv, Jiawei Yin, Dayong Wu, Ziyuan Rao, Chao Su, Jie Kang, Qian Wang, Haikun Ma, Huicong Dong, Yandong Wang, Ru Su   +10 more
wiley   +1 more source

Disconnect between advanced diabetes technology and psychological well-being among young people: a cross-sectional analysis. [PDF]

BMJ Open Diabetes Res Care
Ernst G, Kim-Dorner SJ, Hampel M, Fritsch H, Lange K.   +4 more
europepmc   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source