
Skin in the game: Transformative approach uses the human body to recharge smartwatches
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As smart watches are increasingly able to monitor the vital signs of health, including what's going on when we sleep, a problem has emerged: those wearable, wireless devices are often disconnected from our body overnight, being charged at the bedside.
Imaging spectroscopy can help predict water stress in wild blueberry barrens, according to a University of Maine-led study. Researchers deployed a drone with a spectrometer to photograph wild blueberry fields, then process the images to measure reflected light spectra from plants for properties that would help them estimate water potential. Incorporating data from the images into models allowed them predict water stress in the fields.

The analysis estimates pollution reductions between 1999 and 2019 contributed to about 20 percent of the increase in corn and soybean yield gains during that period - an amount worth about $5 billion per year.

Metal additive manufacturing (AM) experiments are slow and expensive. Engineers from the University of Illinois are using physics-informed neural networks to predict the outcomes of complex processes involved in AM. The team trained the model on supercomputers at the Texas Advanced Computing Center using experimental and simulated data. They recreated the dynamics of two benchmark experiments in metal AM. The method could lead to fast prediction tools for AM in the future.
Conversations between seriously ill people, their families and palliative care specialists lead to better quality-of-life. Understanding what happens during these conversations -- and how they vary by cultural, clinical, and situational contexts -- is essential to guide healthcare communication improvement efforts. True understanding requires methods to study conversations in large, inclusive, and multi-site epidemiological studies. A new computer model offers an automated and valid tool for such large-scale scientific analyses.

A collaboration between EPFL and UCSB has developed a long-anticipated breakthrough, and demonstrated CMOS technology -- used for building microprocessors and memory chips -- that allows wafer-scale manufacturing of chip-scale optical frequency combs.
Zeolites are extremely porous materials: Ten grams can have an internal surface area the size of a soccer field. Their cavities make them useful in catalyzing chemical reactions and thus saving energy. An international research team has now made new findings regarding the role of water molecules in these processes. One important application is the conversion of biomass into biofuel.
Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform developed by researchers from Brown and MIT may finally solve the Python efficiency problem.

New research shows that students rate the usefulness and usability of this virtual tool very positively
Welcome a new member in the family of superconducting polyhydrides: A team led by Skoltech professor Artem R. Oganov studied the structure and properties of ternary hydrides of lanthanum and yttrium and showed that alloying is an effective strategy for stabilizing otherwise unstable phases YH10 and LaH6, expected to be high-temperature superconductors.