Results 311 to 320 of about 9,052,495 (399)
Development of an integrated health promotion program for school-age children from vulnerable families in South Korea: a methodological study. [PDF]
Bae E, Choi EK.
europepmc +1 more source
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang+5 more
wiley +1 more source
The Classroom as Salon: A Collaborative Project on Daniel Defoe’s Robinson Crusoe
Suzan Alteri
doaj
Improving children's attitudes towards older people's competences: a weekly intergenerational summer camp. [PDF]
Guardabassi V.
europepmc +1 more source
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
Unraveling the Longitudinal Relationships Among Parenting Stress, Preschoolers' Problem Behavior, and Risk of Learning Disorder. [PDF]
Huang J+5 more
europepmc +1 more source
Dynamic pressure sensing, static pressure sensing, and haptic vibration are implemented on multifunctional piezoelectret devices with the universal structural design, further combined with the customized pressure device to comprehensively simulate and expand the Traditional Chinese Medicine (TCM) three‐finger palpation.
Liuyang Han+9 more
wiley +1 more source
Mental Health Professionals' Views on Artificial Intelligence as an Aide for Children Anticipating or Suffering the Loss of a Parent to Cancer: Helpful or Harmful? [PDF]
Yockel MR+9 more
europepmc +1 more source
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu+7 more
wiley +1 more source