Current Issue
- September 8, 2026
- vol. 123
- no. 36
- Across a large dry-conifer forest landscape, the area burned by high-severity fire in the past 30 y is unprecedented in five centuries. Historically, frequent low-severity fires were a stabilizing force, but this fire regime collapsed by 1900 ...Dry forests of the western United States evolved with frequent, spatially extensive, low-severity fires, followed by a century of fire exclusion. Recently, these same forests have experienced large and increasingly severe fires causing widespread forest ...
- A key step in the formation of planetary systems is the collapse of a cloud of gas and dust into a protoplanetary disk. It has been unclear what forces transformed the disk into the final configuration of a central massive star surrounded by ...The initial stage of planet formation is expected to take place in a nascent protoplanetary disk (PPD) accreting onto the protostar embedded in an infalling envelope. This stage is likely accompanied by the formation of high-condensation temperature ...
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- Our research sheds light on the fascinating molecular mechanism behind the insect green camouflage, a mystery that has intrigued scientists for over a century. By isolating and identifying a unique green pigment from the bush-cricket, we found ...Molecular mechanisms underlying the green insect camouflage have puzzled researchers for over a century. Here, we isolated and identified a green water-soluble protein from the integument of bush-cricket Tettigonia cantans. De novo sequencing and cloning ...
- Seven studies using experimental and naturalistic methods reveal that upper-class individuals behave more unethically than lower-class individuals. In studies 1 and 2, upper-class individuals were more likely to break the law while driving, relative to ...
- Psychology and neuroscience define habit as a type of decision process in which the same behavior is executed in the same context, regardless of the outcome. We introduce a machine learning method that discovers which of many context variables ...We apply a machine learning technique to characterize habit formation in two large panel data sets with objective measures of 1) gym attendance (over 12 million observations) and 2) hospital handwashing (over 40 million observations). Our Predicting ...
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