Results 191 to 200 of about 1,509,844 (367)

What does a critical period for second language acquisition mean?: Reflections on Hartshorne et al. (2018). [PDF]

Cognition, 2021
Hernandez AE, Bodet JP, Gehm K, Shen S.
europepmc   +1 more source

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

Advanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai, Stefano Canossa, Ekaterina A. Chernova, Simon M. Vornholt, Konstantin Stracke, Jack D. Evans, E. Eja Petersen, Stefan Wuttke, Romy Ettlinger   +8 more
wiley   +1 more source

Research on Low-educated Second Language and Literacy Acquisition [PDF]

, 2006
I. van de Craats, Jeanne Kurvers, Martha Young-Sholten   +2 more
openalex   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

Advanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis, Subhajit Dutta, Saqib Kamal, Sergio Gómez‐Graña, Isabel Pastoriza‐Santos, Stefan Wuttke, Lakshminarayana Polavarapu   +6 more
wiley   +1 more source

Cue weighting in auditory categorization: Implications for first and second language acquisition [PDF]

, 2006
Lori L. Holt, Andrew J. Lotto
openalex   +1 more source

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

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

Advanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang, Zhengtong Li, Zeng Liu, Mingxuan Li, Jiaxin Guo, Jinhua Du, Changkun Cai, Shaohui Zhang, Ningning Sun, Yong Li, Xingtao Xu, Xihong Hao, Yusuke Yamauchi   +12 more
wiley   +1 more source

The pro-drop parameter and second language acquisition

Trabalhos em Linguística Aplicada, 2012
Sem ...
Sonia Maria L. Cyrino
doaj  

Materials Advances in Devices for Heart Disease Interventions

Advanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra, Lauryn Srethbhakdi, James Davies, Chi Cong Nguyen, Phuoc Thien Phan, Zachary Och, Aditya Ashok, Khoon S. Lim, Hoang‐Phuong Phan, Thanh Nho Do, Nigel H. Lovell, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source