Results 221 to 230 of about 691,007 (262)

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Spiro‐Phenothiazine Hole‐Transporting Materials: Unlocking Stability and Scalability in Perovskite Solar Cells

Advanced Materials, EarlyView.
Fluorene‐functionalized spiro‐phenothiazine (PTZ‐Fl) exhibits strong Li+ affinity and thermal stability, enabling a PCE of 25.75% in small‐area cells and 22.07% in 25 cm2 modules. Under ISOS‐L3 conditions, PTZ‐Flbased devices retain over 80% efficiency after 1000 hours, demonstrating superior stability and scalability compared to spiro‐OMeTAD for next ...
Javier Urieta‐Mora, Seung Ju Choi, Jaeki Jeong, Silvia Orecchio, Inés García‐Benito, Manuel Pérez‐Escribano, Joaquín Calbo, Likai Zheng, Minseop Byun, Seyeong Song, Gi‐Hwan Kim, Shaik M. Zakeeruddin, Seog‐Young Yoon, Yimhyun Jo, Agustín Molina‐Ontoria, Enrique Ortí, Nazario Martín, Michael Grätzel   +17 more
wiley   +1 more source

Structure learning in action

Behavioural Brain Research, 2010
'Learning to learn' phenomena have been widely investigated in cognition, perception and more recently also in action. During concept learning tasks, for example, it has been suggested that characteristic features are abstracted from a set of examples with the consequence that learning of similar tasks is facilitated-a process termed 'learning to learn'
Carsten Mehring, Daniel Alexander Braun, Daniel Wolpert   +2 more
exaly   +5 more sources

Mesochronal Structure Learning [PDF]

Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence, 2018
Standard time series structure learning algorithms assume that the measurement timescale is approximately the same as the timescale of the underlying (causal) system. In many scientific contexts, however, this assumption is violated: the measurement timescale can be substantially slower than the system timescale (so intermediate time series datapoints ...
Sergey M. Plis, David Danks, Jianyu Yang
openaire   +2 more sources

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On Learning Decision Structures

Fundamenta Informaticae, 1997
A decision structure is a simple and powerful tool for organizing a decision process. It differs from a conventional decision tree in that its nodes are assigned tests that can be functions of the attributes, rather than single attributes; the branches stemming from a node can be assigned a subset of attribute values rather than a single attribute ...
Imam, Ibrahim F., Michalski, Ryszard S.
openaire   +2 more sources

Structural learning and the hippocampus

Hippocampus, 2007
AbstractIt is argued that while the hippocampus is not vital for all classes of configural learning, it is vital for a specific subclass of configural tasks called “structural learning.” The defining feature of structural learning is that in addition to binding stimulus elements to make unique arrays (as in all configural learning), the relationship of
John P, Aggleton, David J, Sanderson, John M, Pearce   +2 more
openaire   +2 more sources