Results 191 to 200 of about 4,298,007 (226)

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Visuo-frontal interactions during social learning in freely moving macaques. [PDF]

Nature
Franch M, Yellapantula S, Parajuli A, Kharas N, Wright A, Aazhang B, Dragoi V.   +6 more
europepmc   +1 more source

Upconversion Nanoparticle‐Covalent Organic Framework Core–shell Particles as Therapeutic Microrobots Trackable With Optoacoustic Imaging

Advanced Materials, EarlyView.
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim, Paul Wrede, Andrés Rodríguez‐Camargo, Yi Chen, Nihal Olcay Dogan, Chaim Glück, Bettina V. Lotsch, Daniel Razansky, Metin Sitti   +8 more
wiley   +1 more source

Flexible 3D Kirigami Probes for In Vitro and In Vivo Neural Applications

Advanced Materials, EarlyView.
A customizable and scalable approach to fabricate flexible 3D kirigami microelectrode arrays (MEAs) featuring up to 128 shanks, including surface and penetrating electrodes designed to interact with the 3D space of neural tissue, is presented. The 3D kirigami MEAs are successfully deployed in several neural applications, both in vitro and in vivo, and ...
Marie Jung, Jamal Abu Shihada, Simon Decke, Lina Koschinski, Peter Severin Graff, Sebastián Maruri Pazmino, Anke Höllig, Henner Koch, Simon Musall, Andreas Offenhäusser, Viviana Rincón Montes   +10 more
wiley   +1 more source

Optimal dynamic pricing for public transportation considering consumer social learning. [PDF]

PLoS One
Zhang Y, Zhao Z.
europepmc   +1 more source

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

A dedicated hypothalamic oxytocin circuit controls aversive social learning. [PDF]

Nature
Osakada T, Yan R, Jiang Y, Wei D, Tabuchi R, Dai B, Wang X, Zhao G, Wang CX, Liu JJ, Tsien RW, Mar AC, Lin D.   +12 more
europepmc   +1 more source

Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis. [PDF]

Comput Psychiatr
Hauke DJ, Wobmann M, Andreou C, Mackintosh AJ, de Bock R, Karvelis P, Adams RA, Sterzer P, Borgwardt S, Roth V, Diaconescu AO.   +10 more
europepmc   +1 more source

Environmental harshness does not affect the propensity for social learning in great tits, Parus major. [PDF]

Anim Cogn
Isaksson E, Morand-Ferron J, Chaine A.
europepmc   +1 more source