Results 201 to 210 of about 376,238 (287)

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Safe causal-graph primal-dual multi-agent scheduling for energy- and latency-constrained edge-assisted cognitive radio networks. [PDF]

Sci Rep
Kannan T, Lavanya M, Ponraj A, Nalayini CM.   +3 more
europepmc   +1 more source

Bottom‐Up Engineering of a Human Neuromuscular System for Modeling Activity‐Induced Remodeling, Metabolic Stress, and Endothelial‐Modulated Excitability

Advanced Materials, EarlyView.
Using a bottom‐up approach, we engineered a human neuromuscular microchip to investigate distinct adaptive responses to neural stimulation and metabolic stress. Further integration of endothelial cells revealed their critical role in modulating neuromuscular excitability, establishing a comprehensive neurovascular‐muscular model.
Jinchul Ahn, Min‐seop Kim, Ju‐Hee Kim, Seok‐Hyeon Kang, Dain Lee, Hui‐Wen Liu, Seung‐cheol Shin, Kyuhwan Na, Yesl Jun, Oak‐Kee Hong, Ji Hun Yang, Jin‐A Kim, Hwanseok Jang, Hong Nam Kim, Roger D. Kamm, Ji‐Hoon Kim, Jang‐Won Son, Seok Chung   +17 more
wiley   +1 more source

Transient GI/MSP/1/N Queue. [PDF]

Entropy (Basel)
Chydzinski A.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field. [PDF]

Sci Rep
Al-Qadasi B, Cui Y, Waheed UB, Wang HF.
europepmc   +1 more source

Lab‐in‐a‐Tube System Integrating Hierarchically Wrinkled Electrodes and DNAzyme‐Functionalized Beads for Diagnosis of Clostridioides difficile Infection

Advanced Materials, EarlyView.
The point‐of‐care diagnosis of Clostridioides difficile infection remains challenging due to reliance on slow culture and amplification‐based methods. A lab‐in‐a‐tube electrochemical biosensor integrating DNAzymes, antifouling magnetic beads, and a hierarchically structured flow cell enables amplification‐ and culture‐free detection directly in stool ...
Survanshu Saxena, Soyeon Lee, Youngeun Choi, Jonathan L'Heureux‐Hache, Jiaying Liu, Sadman Sakib, Sara M. Imani, Marek Smieja, Yingfu Li, Todd Hoare, Leyla Soleymani   +10 more
wiley   +1 more source

MONTUR project: Dataset for understanding and forecasting tourist flows. [PDF]

PLoS One
Alderighi M, Ciano T, Ferrara M, Santoro D.   +3 more
europepmc   +1 more source

Dynamic Electrophoretic Assembly Coupled With Water‐Splitting‐Induced pH Control Enables Precision Ion Sieving Membranes

Advanced Materials, EarlyView.
A green, external‐catalyst‐free route grows defect‐free covalent organic framework membranes directly on ion‐exchange supports using an alternating electric field and in situ‐generated acid. Through a self‐regulating, self‐healing mechanism, the membranes achieve near‐complete, ultra‐fast separation of monovalent ions such as Li+, Na+, and K+, offering
Mohammad Hossein Jandaghian, Petric Marc Ruya, Ipek Ozyurt, Ali Atyabi, Samuel Eyley, Wim Thielemans, Alexander Volodin, Riccardo Alessandri, Xing Yang   +8 more
wiley   +1 more source

Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks. [PDF]

Sci Rep
Kaewunruen S, Chen Z, Dhaniswara A, Hamarat Z.   +3 more
europepmc   +1 more source