Results 151 to 160 of about 22,331 (301)

A Plug‐and‐Play Platform for Customizing Multivalent Degraders and Degrader‐Drug Conjugates

Advanced Science, EarlyView.
Membrane proteins remain challenging targets for conventional TPD approaches. Here, the authors develop UPTAB, a modular platform leveraging ultrahigh‐affinity orthogonal Im/CL protein pairs for lysosomal degradation of membrane proteins. Mono‐targeted (Type‐I), dual‐targeted (Type‐II), and tri‐targeted (Type‐III) UPTABs enable simultaneous degradation
Mengqing Zhao, Yan Deng, Jianjian Han, Yong Xie, Kai Bao, Lixin Ma, Lilong Liu, Wuxiang Mao   +7 more
wiley   +1 more source

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

Gravitational Radiation in f(R) Gravity: A Geometric Approach

, 2013
I summarize experimental and theoretical constraints on gravity theories. I explore metric f(R) gravity, and explore scalar field theory analogs. I present a different kind of mechanism to raise the effective scalar mass in f(R) gravity in environments ...
Kelleher, Adam Scott
core   +1 more source

Integrated Opto–Biomechatronics For Single Muscle Fibre Structure‐Function Assessment: The MyoRobot 3.0

Advanced Science, EarlyView.
We present the MyoRobot 3.0, an advanced platform that combines high‐resolution imaging with automated mechanical testing to improve the accuracy of single muscle fibre analysis. The system tracks fibre diameter changes during stretch, preventing major stress miscalculations.
Michael Haug, Moritz Hellmann, Larysa Kovbasyuk, Maria Eleni Vazakidou, Milena Theis, Oliver Friedrich   +5 more
wiley   +1 more source

A Programmable Multi‑Modal Information Encryption System Based on the Dynamic Wetting Behavior of Liquid Metal

Advanced Science, EarlyView.
This work presents a programmable multimodal information encryption device that harnesses the dynamic wetting behavior of liquid metal to achieve secure, reconfigurable, and high‐precision encryption and decryption of diverse data types, including text and images.
Xuedong Qiang, Min Mao, Yihao Wang, Nan Li, Mengyu Jiang, Chenkun Sun, Bangdeng Du, Jifei Ye, Linyan Wang, Fei Zhan, Lei Wang   +10 more
wiley   +1 more source

Model-independent reconstruction of f(T) and f(R) gravity

European Physical Journal C: Particles and Fields
In this paper, we revisit the model-independent reconstruction of f(T) and f(R) gravity at the cosmological background and linear matter density perturbation levels respectively via Gaussian process by using the currently available cosmic observations ...
Yufen Han, En-Kun Li, Lixin Xu
doaj   +1 more source

In‐Process Magnetization for 3D Printing of Magnetorheological Elastomer with Heterogeneous Magnetic Profile for Anisotropic Actuation

Advanced Science, EarlyView.
Fully programmable, in‐process 3D magnetization integrated with multi‐material printing enables soft magnetic systems with precise actuation and sensing. Discrete and continuous magnetization profiles drive bending, morphing, and locomotion, demonstrated through strain‐sensing elements, dragonfly‐inspired wings, octopus‐like tentacles, and a serpentine
Phillip Glass, David Hassouna, Udena Epitawala Arachchige, Hyeon Yun Jeong, Sung Hyun Park, Daeha Joung   +5 more
wiley   +1 more source

Radial oscillations and stability of compact stars in f(R, T) = R+ 2β T gravity

, 2021
We examine the static structure configurations and radial stability of compact stars within the context of f(R, T) gravity, with R and T standing for the Ricci scalar and trace of the energy-momentum tensor, respectively.
Jorás, Sergio E., Arbañil, José D. V., Pretel, Juan M. Z., Reis, Ribamar R. R.   +3 more
core  

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Quantum Gravity: A Primer for Philosophers. [PDF]

, 2008
‘Quantum Gravity’ does not denote any existing theory: the field of quantum gravity is very much a ‘work in progress’. As you will see in this chapter, there are multiple lines of attack each with the same core goal: to find a theory that unifies, in ...
Rickles, Dean
core