Results 161 to 170 of about 17,048 (257)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Editorial: Innovations in psychological care for oncology and palliative settings: a holistic approach. [PDF]

Front Psychol
Cantero-García M, Rueda-Extremera M, Dune S.   +2 more
europepmc   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Coaching programmes in undergraduate medical education: An integrative review protocol. [PDF]

F1000Res
Weber L, Freeman J, Gysin S, Florin J, Sondén A, Schaer D, Guttormsen S.   +6 more
europepmc   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

Advanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar, Ge Lv, Keith E. Green, Ian D. Walker   +3 more
wiley   +1 more source

Understanding Patient Perspectives and Acceptability of Integrative Naturopathic Oncology in Metastatic Cancer. [PDF]

Curr Oncol
Izadi-Najafabadi S, Fowokan A, Parmar G.
europepmc   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

From 'Emotional Storm' to Post-Traumatic Growth Among Caregivers of Individuals with Mental Illness and Substance Use Disorders: An Integrative Review. [PDF]

Nurs Rep
Aryuwat P, Holmgren J.
europepmc   +1 more source

The Implementation of Discovery Learning Model for Improving Thematic Integrated Learning in Primary School

Proceedings of the 5th International Conference on Education and Technology (ICET 2019), 2019
M. Habibi, Rifda Elyasni, Rahmatina Rahmatina   +2 more
openaire   +1 more source

Reverse Haptic Alerting: Human‐Centered Intelligent Systems That Turn Chemical and Biomedical Signals Into Felt Cues

Advanced Intelligent Systems, EarlyView.
Wearable sensors usually warn through sight or sound, channels that become unreliable under protective equipment or in noise. Reverse haptic alerting inverts this flow: Stimuli‐responsive materials convert chemical and biological signals into cues felt through the skin, while a machine‐learned digital twin of tactile perception personalizes the body ...
Hwanhee Yoo, Shin Hum Cho, Ku Kang, Yoon Jeong Jang, Chan‐Mo Yang, Doo‐Hee Lee   +5 more
wiley   +1 more source