Results 201 to 210 of about 4,372 (281)

Fragility analyses and strong ground motion response of mechanically stabilized earth retaining walls with plate anchors. [PDF]

Sci Rep
Ansari Targhi M, Safi M, Noorzad A.
europepmc   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Delineating the Central Anatolia Transition Zone (CATZ): Constraints from Integrated Geodetic (GNSS/InSAR) and Seismic Data. [PDF]

Sensors (Basel)
Kutoğlu ŞH, Akgün E, Softa M.
europepmc   +1 more source

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

Advanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann, Laura M. De Santis, Paul Neering, Christian Boehler, Kirti Sharma, Arno Aarts, Tobias Holzhammer, Rik J. J. van Daal, Patrick Ruther, Maria Asplund, Roxana N. Kooijmans, Pieter R. Roelfsema   +11 more
wiley   +1 more source

Evaluation of seismic behavior and collapse capacity of dual RC frame-shear wall structures considering soil-structure interaction under varying soil conditions. [PDF]

Sci Rep
Yousefi A, Tehrani P.
europepmc   +1 more source

Degradation Mechanisms Associated with Electron‐Blocking Layers in Inverted Perovskite Solar Cells

Advanced Science, EarlyView.
The effects of the three typical EBLs NiOx, PTAA, and 2PACz on the photovoltaic performance and degradation mechanisms are investigated under light soaking and solar‐thermal cycling conditions of corresponding PSCs, demonstrating that 2PACz is the best EBL due to the better interface contact and lower lattice distortion.
Xiongzhuo Jiang, Jie Zeng, Kun Sun, Simon Alexander Wegener, Zerui Li, Guangjiu Pan, Sarathlal Koyiloth Vayalil, Matthias Schwartzkopf, Baomin Xu, Peter Müller‐Buschbaum   +9 more
wiley   +1 more source

Seismic risk mitigation at Campi Flegrei in volcanic unrest. [PDF]

Nat Commun
Iervolino I, Cito P, De Falco M, Festa G, Herrmann M, Lomax A, Marzocchi W, Santo A, Strumia C, Massaro L, Scala A, Scotto di Uccio F, Zollo A.   +12 more
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Reconstruction and validation of ground motions across dip-slip faults: an application to response analysis of a long-span suspension bridge. [PDF]

Sci Rep
Jia H, Cheng W, Jia K, Zhai Y, Zheng S.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source