Results 61 to 70 of about 2,320 (298)

A Wireless 3D Magneto‐Mechanical Stimulation Platform Drives In Situ Chondrogenic Commitment of Endogenous MSCs

Advanced Science, EarlyView.
An intracellular magneto‐mechanical platform utilizing MSC‐targeted nanomotors is developed. After intra‐articular delivery, these nanomotors target endogenous BMSCs and are actuated within lysosomes to execute trans‐planar rotational‐bouncing motions under a rotating‐fluctuating 3D magnetic field, generating amplified mechanical stimulation.
Zhenguang Li, Li Peng, Laiya Lu, Yingying Wang, Xiaolei Chen, Feng Yin, Cuijun Deng, Yu Cheng   +7 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

An Efficient Multi-Secret Image Sharing System Based on Chinese Remainder Theorem and Its FPGA Realization

IEEE Access, 2023
Multi-Secret Image Sharing (MSIS) is important in information security when multiple images are shared in an unintelligible form to different participants, where the images can only be recovered using the shares from participants.
Bishoy K. Sharobim, Marwan A. Fetteha, Salwa K. Abd-El-Hafiz, Wafaa S. Sayed, Lobna A. Said, Ahmed G. Radwan   +5 more
doaj   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Asymptotically ideal Chinese remainder theorem ‐based secret sharing schemes for multilevel and compartmented access structures

IET Information Security, 2021
Multilevel and compartmented access structures are two important classes of access structures where participants are grouped into levels/compartments with different degrees of trust and privileges.
Ferucio Laurenţiu Ţiplea, Constantin Cătălin Drăgan   +1 more
doaj   +1 more source

Temperature Sensitivity and Adaptation of Cereal Yields: Empirical Evidence From Italy

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper investigates the evolving temperature sensitivity and climate adaptation of cereal yields in Italy from 1952 to 2023, using province‐level data for maize, common wheat, and durum wheat. Employing panel data econometric methods, we estimate yield responses to heat exposure, changes in sensitivity over time, and adaptation to climate ...
Paolo Nota, Giacomo Coughlan, Alessandro Olper   +2 more
wiley   +1 more source

Verifiable (n,n) Threshold Quantum Secret Sharing Scheme [PDF]

Jisuanji gongcheng, 2017
This paper constructs a class of verifiable secret sharing scheme based on Chinese Remainder Theorem and Bell states.In the distribution phase,Alice distributes the shares to the participants through the quantum secure channel.In the recovery phase,Alice
MA Min,LI Zhihui,XU Tingting
doaj   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

On weakly prime-additive numbers with length $4k+3$

Comptes Rendus. Mathématique
If a positive integer $n$ has at least two distinct prime divisors and can be written as $n=p_1^{\alpha _1}+\dots +p_t^{\alpha _t}$, where $p_13$, there exist infinitely many weakly prime-additive numbers $n$ with $m\mid n$ and $n=p_1^{\alpha _1}+\dots ...
Fang, Jin-Hui, Xue, Fang-Gang
doaj   +1 more source

Parallel Implementation of Exact Matrix Computation Using Multiple P-adic Arithmetic [PDF]

International Journal of Networked and Distributed Computing (IJNDC), 2013
A P-adic Exact Scientific Computational Library (ESCL) for rational matrix operations has been developed over the past few years. The effort has been focusing on converting all rational number operations to integer calculation, and fully taking advantage
Xinkai Li, Chao Lu, Jon A. Sjogren
doaj   +1 more source