Results 201 to 210 of about 6,349,669 (299)

Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite

Advanced Functional Materials, EarlyView.
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen, Patryk Wąsik, Juan Fernando Cucuyame Morales, Marie Kate Palau, Adrian Francisco Duran Ornelas, Phani Saketh Dasika, Jin Hee Kim, Radhika Laxminarayana, Eric Hintsala, Greta Chang, Junzhi Liao, Lizhi Sun, Nathan Lord, Atsushi Arakaki, Paul Bardunias, Pablo Zavattieri, David Kisailus   +16 more
wiley   +1 more source

Corrigendum: Number of Childbearing Partners, Status, and the Fertility of Men and Women in the U.S.

Frontiers in Sociology, 2020
Rosemary L. Hopcroft
doaj   +1 more source

Incorporating Evolutionary Theory Into Forensic Anthropology Methods and Practice: A Proof-of-Concept Study Using Skeletal Sex Estimation. [PDF]

Am J Biol Anthropol
Yim AD, Stock MK, Winburn AP.
europepmc   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Acceptance and knowledge of evolutionary theory among third-year university students in Spain. [PDF]

PLoS One, 2020
Gefaell J, Prieto T, Abdelaziz M, Álvarez I, Antón J, Arroyo J, Bella JL, Botella M, Bugallo A, Claramonte V, Gijón J, Lizarte E, Maroto RM, Megías M, Milá B, Ramón C, Vila M, Rolán-Alvarez E.   +17 more
europepmc   +1 more source

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

Advanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie, Iryna Polishchuk, Franziska Tauber, Coralie Schneider, Elena Prudnikov, Alessia Calora, Silvia Milita, Simona Fermani, Mireia Alejandra Ibanez Revert, Ilaria Filippetti, Claudio Ratti, Matthias Kellermeier, Markus Rueckel, Boaz Pokroy   +13 more
wiley   +1 more source

The systemic evolutionary theory of the origin of cancer (SETOC): an update. [PDF]

Mol Med
Mazzocca A, Ferraro G, Misciagna G.
europepmc   +1 more source

Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly

Advanced Functional Materials, EarlyView.
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim, Hyeseoung Lim, Ji Min Lee, Heeyeon Kang, Yongkwon Song, Woojae Chang, So‐Jin Park, Jin Yoo, Atsushi Hozumi, Jinhan Cho, Jongkuk Ko, Sanghyuk Wooh   +11 more
wiley   +1 more source

Testing the evolutionary theory of inversion polymorphisms in the yellow monkeyflower (Mimulus guttatus). [PDF]

Nat Commun
Veltsos P, Madrigal-Roca LJ, Kelly JK.
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source