Results 241 to 250 of about 4,275,193 (341)

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

Advanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert, Nick Seinsche, Sören Bartels, Tom Masselter, Thomas Speck   +4 more
wiley   +1 more source

Analyzing Cockpit Interfaces Using Formal Methods

, 2001
John Rushby
openalex   +1 more source

Deciphering the linguistic blueprint of DNA: context-sensitive structures, statistical patterns, and regulatory implications. [PDF]

Genomics Inform
Akhmetov I, Saparov T, Duran V, Pak A.
europepmc   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Identifying distinct service use phenotypes across levels of suicidality and self-harm: a UK Biobank study. [PDF]

Npj Ment Health Res
Tang B, Shand F, Christensen H, Whitton AE.   +3 more
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Formal methods: the very idea

, 2002
Daniel M. Berry
openalex   +1 more source

Identifying actionable statements in Chinese health guidelines: a cross-sectional study. [PDF]

BMJ Evid Based Med
Ren X, Lotfi T, Chen J, Lei Y, Zhou C, Zhang W, Huang Q, Wang Y, Yan S, Wang S, Ruan S, Wang W, Zhang Q, Yao X, Jin Y, Schuenemann HJ.   +15 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study. [PDF]

Cancer Epidemiol Biomarkers Prev
LeeVan E, Skarlupka AL, Patriotis C, Rubinstein WS, Pinsky PF, Bolton W, Dickherber A, Edelman DC, Harris LN, Katki HA, Lavik EB, Martin A, Ong MJC, Prorok PC, Ransohoff DF, Temkin SM, Minasian LM.   +16 more
europepmc   +1 more source