Results 181 to 190 of about 159,993 (313)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Mathematical modelling and compensation strategies for printing dot gain. [PDF]

PLoS One
Liu X, Qiu B, Ling YL.
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Editorial for the Special Issue "Mathematical Modelling in Drug Delivery". [PDF]

Pharmaceutics
Jónsdóttir F.
europepmc   +1 more source

Biodegradable Chitosan Films as Green Resists for Gold Nanowires Fabrication Through AFM‐Based Nanolithography

Advanced Materials Interfaces, EarlyView.
Schematic illustration of a sustainable nanofabrication process: chitosan derived from natural sources is used as a biodegradable thin film resist, patterned via Constant Pulse‐Assisted Force Lithography (CP‐AFL) to create tunable nanogrooves. These grooves template gold nanowire formation, enabling high‐resolution nanopatterning under ambient ...
Paolo Pellegrino, Lorenzo Vincenti, Isabella Farella, Valeria De Matteis, Mariafrancesca Cascione, Annalisa Bianco, Fabio Quaranta, Rosaria Rinaldi   +7 more
wiley   +1 more source

Estimating the global burden of viable Mycobacterium tuberculosis infection: A mathematical modelling study. [PDF]

PLoS Med
Schwalb A, Dodd PJ, Rickman HM, Ugarte-Gil CA, Horton KC, Houben RMGJ.   +5 more
europepmc   +1 more source

Sensitive and Spatially‐Resolved Electrochemiluminescence via Micropatterning

Advanced Materials Interfaces, EarlyView.
The use of a simple silica nanoparticle surface coating and patterning process can transform ordinary gold electrodes into multiplexed ECL sensing electrodes. Through spatially confined droplet formation and local ECL emission, it is possible to perform multiple analyses simultaneously from individual locations as well as intensify the ECL signal by as
Yuliang Shao, Tatiana Starikova, Mengzhen Xi, Maria Vittoria Balli, Emanuele Luigi Sciuto, Gabriele Giagu, Vincenzo Paratore, Carmelo Corsaro, Enza Fazio, Sabrina Conoci, Luca Prodi, Giovanni Valenti, Pavel A. Levkin   +12 more
wiley   +1 more source

Impact of switching from a quadrivalent to a nonavalent HPV vaccine on HPV infections and cervical cancer in Colombia: a mathematical modelling study. [PDF]

Lancet Reg Health Am
Tejada R, Baena A, Trujillo L, Rodriguez J, Maheu-Giroux M, Almonte M, Franco EL, Malagón T.   +7 more
europepmc   +1 more source

Cornus Mas L. Seed‐Derived Biosorbent for Methylene Blue Removal: Surface Characterization and Biosorption Performance

Advanced Materials Interfaces, EarlyView.
Cornus mas L. seeds are transformed into a high‐performance biosorbent through chemical modification, effectively removing methylene blue from aqueous solutions. Comprehensive characterization and optimization reveal a maximum biosorption capacity of 71.71 mg g−1, establishing this sustainable, cost‐effective material as a promising solution for ...
Hakan Yıldız, Adem Necip, Arslan Yusuf Yüksel   +2 more
wiley   +1 more source

Assessing the potential impact of the RTS,S/ASO1 vaccine on malaria burden in Benin: a mathematical modelling approach. [PDF]

Malar J
Gbaguidi GJ, Loum MA, Gning LD, Tahiho AK, Diallo EM, Koutou O, Dembélé A, Topanou N, Ketoh GK.   +8 more
europepmc   +1 more source