Results 131 to 140 of about 947,404 (297)
Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır +4 more
wiley +1 more source
Maternal Milk Allopregnanolone May Buffer Negative Associations Between Maternal Postpartum Psychological Distress and Infant Regulatory Capacity. [PDF]
Werchan DM +5 more
europepmc +1 more source
Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang +12 more
wiley +1 more source
Origins of Face Responses in the Human Cortex: fNIRS and fMRI Evidence From Infants. [PDF]
Saxe R, Kosakowski HL.
europepmc +1 more source
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao +4 more
wiley +1 more source
Words and Meters: Neural Evidence for a Connection Between Individual Differences in Statistical Learning and Rhythmic Ability in Infancy. [PDF]
van der Wulp I +2 more
europepmc +1 more source
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang +11 more
wiley +1 more source

