Results 161 to 170 of about 2,545,734 (238)

Printed Organic Thermoelectric Generators: Progress and Challenges Towards Efficient Energy Harvesting

Advanced Materials Technologies, EarlyView.
Printed organic thermoelectric generators (OTEGs) enable flexible and sustainable energy harvesting from low‐grade heat. This Perspective critically assesses recent advances in printable thermoelectric materials, 2D and 3D device architectures, and current performance limits of printed OTEGs.
Vijitha Ignatious, Pietro Rossi, Matteo Massetti, Cecilia Mattevi, Francisco Molina‐Lopez, Mario Caironi   +5 more
wiley   +1 more source

Standardized Interoperable Data Collection for Myositis Research: Developing Expert Consensus on Common Data Elements for Myositis Outcome Measures. [PDF]

Arthritis Care Res (Hoboken)
Saygin D, Diller M, Surampudi V, Bodkin M, Noroozi Farhadi P, Mecoli CA, Kessel A, Aggarwal R, Alexanderson H, Amato A, Bartels CM, Benveniste O, Best M, Chinoy H, Groot I, Feldman B, Huber AM, Kim H, Kim S, Kobert L, Leclair V, Lubinus M, Machado PM, Mammen A, McCann LJ, Mozaffar T, Oddis C, Paik JJ, Ravelli A, Ruperto N, Schmidt J, Werner E, Werth V, Schiffenbauer A, Scheuermann RH, Rider LG, IMACS Myositis CDE Working Group.   +36 more
europepmc   +1 more source

Quantum Decoherence of Nitrogen‐Vacancy Spin Ensembles in a Nitrogen Spin Bath in Diamond Under Dynamical Decoupling

Advanced Optical Materials, EarlyView.
Combining high‐order cluster‐correlation expansion with experiment, it is revealed that P1‐driven NV decoherence under dynamical decoupling deviates from semi‐classical scaling laws. The coherence‐time exponent depends on pulse number and bath conditions, demonstrating the necessity of a full quantum bath description.
Huijin Park, Mykyta Onizhuk, Eunsang Lee, Harim Lim, Junha Park, Junghyun Lee, Sangwon Oh, Giulia Galli, Hosung Seo   +8 more
wiley   +1 more source

A privacy-preserving multi-user retrieval system for multimodal artificial intelligence. [PDF]

Sci Rep
Gao Y, Luo W, Wang C, Ahmad NS, Wang X, Goh P.   +5 more
europepmc   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Need for a centralized repository of standardized validated scales and disease gradation tools for clinical research in Ayurveda. [PDF]

J Ayurveda Integr Med
Shirke UJ, Wavhal PP.
europepmc   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Fibromyalgia: the Italian survey by the ministry of health. [PDF]

Neurol Sci
Giordano A, Sasssos D, Fancellu R, Del Sette M, Boni L, Sulli A.   +5 more
europepmc   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source