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Body orientation change of neighbors leads to scale-free correlation in collective motion.
Nat Commun
October 2024
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P. R. China.
Collective motion, such as milling, flocking, and collective turning, is a common and captivating phenomenon in nature, which arises in a group of many self-propelled individuals using local interaction mechanisms. Recently, vision-based mechanisms, which establish the relationship between visual inputs and motion decisions, have been applied to model and better understand the emergence of collective motion. However, previous studies often characterize the visual input as a transient Boolean-like sensory stream, which makes it challenging to capture the salient movements of neighbors.
View Article and Find Full Text PDFSteering CO Electroreduction Selectivity U-Turn to Ethylene by Cu-Si Bonded Interface.
J Am Chem Soc
January 2024
State Key Laboratory Structural Chemistry, Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences, Fuzhou 350002, China.
Copper (Cu), with the advantage of producing a deep reduction product, is a unique catalyst for the electrochemical reduction of CO (CORR). Designing a Cu-based catalyst to trigger CORR to a multicarbon product and understanding the accurate structure-activity relationship for elucidating reaction mechanisms still remain a challenge. Herein, we demonstrate a rational design of a core-shell structured silica-copper catalyst (p-Cu@m-SiO) through Cu-Si direct bonding for efficient and selective CORR.
View Article and Find Full Text PDFFilter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data.
PLoS Comput Biol
May 2023
Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Variability is an intrinsic property of biological systems and is often at the heart of their complex behaviour. Examples range from cell-to-cell variability in cell signalling pathways to variability in the response to treatment across patients. A popular approach to model and understand this variability is nonlinear mixed effects (NLME) modelling.
View Article and Find Full Text PDFReal-World Crash Circumstances Among Newly Licensed Adolescent Drivers With and Without Attention-Deficit/Hyperactivity Disorder.
J Adolesc Health
August 2022
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Purpose: Adolescents with attention-deficit/hyperactivity disorder (ADHD) have 30%-40% higher crash rates. However, we still do not understand which factors underlie heightened crash risk and if crash circumstances differ for drivers with ADHD. We compared prevalences of crash responsibility, driver actions, and crash types among adolescent and young adult drivers with and without ADHD who crashed within 48 months of licensure.
View Article and Find Full Text PDFLeveraging probability concepts for cultivar recommendation in multi-environment trials.
Theor Appl Genet
April 2022
Department of Genetics, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil.
We propose using probability concepts from Bayesian models to leverage a more informed decision-making process toward cultivar recommendation in multi-environment trials. Statistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate offspring, and obtain highly productive genotypes for target environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI).
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