Results 211 to 220 of about 753,909 (275)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Corrigendum: GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

Frontiers in Human Neuroscience, 2015
Jinhui eWang, Jinhui eWang, Jinhui eWang, Xindi eWang, Mingrui eXia, Xuhong eLiao, Alan eEvans, Yong eHe   +7 more
doaj   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Adaptive Behavioral Outcomes: Assurance Of Learning And Assessment

, 2011
David S. Baker, Geoffrey T. Stewart
openalex   +2 more sources

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Communicative competence assessment for learning: The effect of the application of a model on teachers in Spain. [PDF]

PLoS One, 2020
Torres-Gordillo JJ, Guzmán-Simón F, García-Ortiz B.   +2 more
europepmc   +1 more source

Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease: a retrospective cohort study

Ahmed F. Elmahrouk, Amin Daoulah, Prashanth Panduranga, Rajesh Rajan, Ahmed A. Jamjoom, Omar Kanbr, Badr Alzahrani, Mohammed A. Qutub, Nooraldaem Yousif, Tarique Shahzad Chachar, Youssef Elmahrouk, Ali Alshehri, Taher Hassan, Walid Tawfik, Kamel Hazaa Haider, Abdulwali Abohasan, Adel N. Alqublan, Abdulrahman Alqahtani, Mohamed Ajaz Ghani, Faisal Omar M. Al Nasser, Wael Almahmeed, Ahmed A. Ghonim, Shahrukh Hashmani, Mohammed Ali Alshehri, Abdelmaksoud Elganady, Abeer M Shawky, Adnan Fathey Hussien, Seraj Abualnaja, Taha H Noor, Ibrahim A. M. Abdulhabeeb, Levent Özdemir, Wael Refaat, Hameedullah M. Kazim, Ehab Selim, Issam Altnji, Ahmed M. Ibrahim, Abdullah Alquaid, Amr A. Arafat   +37 more
openalex   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source