Demonstrating the limitations of the one-at-a-time approach, crowd initiatives reveal the surprisingly powerful role of analytic and design choices in shaping scientific results. At the same time, cross-cultural variability in effects is far below the levels initially expected. This highlights the value of "medium" science, leveraging diverse stimulus sets and extensive robustness checks to achieve integrative tests of competing theories.
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Breaking symmetry for better catalysis: insights into single-atom catalyst design.
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School of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, China.
Breaking structural symmetry has emerged as a powerful strategy for fine-tuning the electronic structure of catalytic sites, thereby significantly enhancing the electrocatalytic performance of single-atom catalysts (SACs). The inherent symmetric electron density in conventional SACs, such as M-N configurations, often leads to suboptimal adsorption and activation of reaction intermediates, limiting their catalytic efficiency. By disrupting this symmetry of SACs, the electronic distribution around the active center can be modulated, thereby improving both the selectivity and adsorption strength for key intermediates.
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Faculté de Pharmacie, Université de Montréal, Québec, Canada.
Targeted maximum likelihood estimation (TMLE) is an increasingly popular framework for the estimation of causal effects. It requires modeling both the exposure and outcome but is doubly robust in the sense that it is valid if at least one of these models is correctly specified. In addition, TMLE allows for flexible modeling of both the exposure and outcome with machine learning methods.
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Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Republic of Singapore.
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The ventral temporal cortex (VTC) of the human cerebrum is critically engaged in high-level vision. One intriguing aspect of this region is its functional lateralization, with neural responses to words being stronger in the left hemisphere, and neural responses to faces being stronger in the right hemisphere; such patterns can be summarized with a signed laterality index (LI), positive for leftward laterality. Converging evidence has suggested that word laterality emerges to couple efficiently with left-lateralized frontotemporal language regions, but evidence is more mixed regarding the sources of the right lateralization for face perception.
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