Results 151 to 160 of about 18,674 (285)

Linking regional and global functional trait data: insights from mammal communities in a fragmented Atlantic Forest landscape

Oikos, EarlyView.
Accurate functional trait data are essential for understanding ecosystem services and processes in fragmented landscapes. We evaluated whether the global EltonTraits 1.0 database adequately represents the functional structure of mammal communities in forest fragments and restoration sites in a highly fragmented Atlantic Forest landscape.
Maria F. R. Godoi, Fábio Z. Farneda, Alan D. Pereira, Marcos Akira‐ Umeno, Fernanda C. Marques, Marcos Robalinho Lima   +5 more
wiley   +1 more source

Research on an Adaptive Motion Planning Method for Multi-joint Hyper-redundant Robots

Jixie chuandong
An adaptive motion planning method is proposed for the problems of complex kinematic solution, large configuration deviation of traditional multi-joint hyper-redundant robots.
Luo Shuangbao, Zeng Fengfei, Zeng Xiaoshan, Qiang Hua, Wang Xiaoyang   +4 more
doaj  

Living Well With Type 1 Diabetes in Middle School: A Student‐Centered Perspective

Psychology in the Schools, EarlyView.
ABSTRACT Type 1 diabetes (T1D) is among the most common chronic illnesses affecting children and adolescents, meaning that all schools regularly include students with T1D. Supporting their well‐being requires understanding how they experience middle school to address their specific needs.
Isabelle Joing, Gaëlle Marais, Aurore Huchez, Elodie Lespagnol, Elsa Heyman   +4 more
wiley   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Camels as a Climate‐Resilient Linchpin for Sustainable Development in Global Drylands

Sustainable Development, EarlyView.
ABSTRACT Camels represent a significant, yet underutilized, asset for advancing integrated sustainable development in the world's expanding drylands. Previous reviews have examined camels' physiology, milk composition, or pastoral systems in isolation; this review examines their potential as a climate‐resilient linchpin for food systems by synthesizing
Ayana Angassa, Minyahel Tilahun, Solomon G. Tesfamichael   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Position Transmission Control in Tendon–Sheath Mechanisms: A Critical Review and a Promising Solution

SmartBot, EarlyView.
Tendon‐sheath mechanisms are widely used in various robotic systems for remote position transmission, including aerospace vehicles, flexible rescue robots, dexterous robotic hands, exoskeleton robots, soft wearable devices, industrial robots, and flexible surgical robots.
Jiaqi Li, Qian Gao
wiley   +1 more source

Perspectives on Robustness and Resilience of Complex Networks. [PDF]

Entropy (Basel)
Proverbio D, Boccaletti S.
europepmc   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

steel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid, Ismael Matino, Silvia Cateni, Teresa Annunziata Branca, Lorenzo Vannini   +7 more
wiley   +1 more source

Adaptive multimodal transformer based on exchanging for multimodal sentiment analysis. [PDF]

Sci Rep
Tuerhong G, Fu F, Wushouer M.
europepmc   +1 more source