Results 201 to 210 of about 3,694,073 (351)

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

Satisfaction and perceptions with clinical practicum course among graduating nursing students: a mixed methods study. [PDF]

BMC Nurs
Wu CJ, Tsai LH, Chen CM, Chiang SF.
europepmc   +1 more source

Towards a More Authentic Science Curriculum: The contribution of out‐of‐school learning

, 2006
M. Braund, M. Reiss
semanticscholar   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

Artificial Intelligence-based detection of neuropsychiatric lupus: an exploratory meta-analysis of neuroimaging and multimodal biomarker models. [PDF]

Clin Exp Med
Nouroozi F, Kazemi HS, Alinezhad A, Goudarzi N, Khosravi MK, Narimani Z, Asouri ZA, Ahari SG, Mehrjerdi RS, Saeidi R, Mavi MM, Ahmadifard H, Khosravi F, Alipour M, Abdollahi Z, Shemshad R, Ganjipour P, Anar MA, Rostami E.   +18 more
europepmc   +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

What Do We Know About Children's and Adolescents' Formal and Non-Formal Learning in the Zoo? A Systematic Literature Review. [PDF]

Animals (Basel)
Baur A.
europepmc   +1 more source

A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening

Advanced Materials, EarlyView.
A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder, Nergishan İyisan, Yukun Wang, Berna Özkale   +3 more
wiley   +1 more source

OSCEai: personalized interactive learning for undergraduate medical education. [PDF]

Can Med Educ J
Guo E, Ramchandani R, Park YJ, Gupta M.
europepmc   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

Advanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source