Brick kilns have proliferated across Bangladesh to supply the growing economy with construction materials, which makes it really hard for regulators to keep up with new kilns that are constructed, said co-lead author Nina Brooks, a postdoctoral associate at the University of Minnesota s Institute for Social Research and Data Innovation who did the research while a PhD student at Stanford.
While previous research has shown the potential to use machine learning and satellite observations for environmental regulation, most studies have focused on wealthy countries with dependable data on industrial locations and activities. To explore the feasibility in developing countries, the Stanford-led research focused on Bangladesh, where government regulators struggle to locate highly pollutive informal brick kilns, let alone enforce rules.
Researchers use AI to empower environmental regulators
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Researchers use single-cell RNA sequencing technologies to track cellular development in leaves
How do we become a complex, integrated multicellular organism from a single cell?
While developmental biologists have long researched this fundamental question, Stanford University biologist and HHMI investigator Dominique Bergmann s recent work on the plant Arabidopsis thaliana has uncovered surprising answers.
In a new study, published April 5 in
Developmental Cell, led by Bergmann and postdoctoral scholar Camila Lopez-Anido, researchers used single-cell RNA sequencing technologies to track genetic activity in nearly 20,000 cells as they formed the surface and inner parts of an Arabidopsis leaf.
Through this highly detailed technique, the researchers captured transient and rare cell states and found a surprising abundance of ambiguity in how cells traversed various identities, particularly early on within the stem cell population.
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IMAGE: A drawing series by artist Virginia Lopez-Anido that was inspired by research by her sister, Camila Lopez-Anido, a postdoctoral scholar at Stanford who studies cellular development in plants. view more
Credit: Virginia Lopez-Anido
How do we become a complex, integrated multicellular organism from a single cell?
While developmental biologists have long researched this fundamental question, Stanford University biologist and HHMI investigator Dominique Bergmann s recent work on the plant Arabidopsis thaliana has uncovered surprising answers.
In a new study, published April 5 in
Developmental Cell, led by Bergmann and postdoctoral scholar Camila Lopez-Anido, researchers used single-cell RNA sequencing technologies to track genetic activity in nearly 20,000 cells as they formed the surface and inner parts of an Arabidopsis leaf. Through this highly detailed technique, the researchers captured transient and rare cell states and found a surprising abundance
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One of the best ways to study human evolution is by comparing us with nonhuman species that, evolutionarily speaking, are closely related to us. That closeness can help scientists narrow down precisely what makes us human, but that scope is so narrow it can also be extremely hard to define. To address this complication, researchers from Stanford University have developed a new technique for comparing genetic differences.
Through two separate sets of experiments with this technique, the researchers discovered new genetic differences between humans and chimpanzees. They found a significant disparity in the expression of the gene SSTR2 - which modulates the activity of neurons in the cerebral cortex and has been linked, in humans, to certain neuropsychiatric diseases such as Alzheimer s dementia and schizophrenia - and the gene EVC2, which is related to facial shape. The results were published March 17 in
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