Primate cognition requires interaction processing. Interactions can reveal otherwise hidden properties of intentional agents, such as thoughts and feelings, and of inanimate objects, such as mass and material. Where and how interaction analyses are implemented in the brain is unknown. Using whole-brain functional magnetic resonance imaging in macaque monkeys, we discovered a network centered in the medial and ventrolateral prefrontal cortex that is exclusively engaged in social interaction analysis. Exclusivity of specialization was found for no other function anywhere in the brain.
Protein-protein interactions form the molecular basis for organismal development and function (1, 2). In cells, protein interactions are dynamic and subject to spatiotemporal regulations that are specific to the cell type and cell cycle phase. Mutations that abolish or rewire protein-protein interaction networks (the interactome) are often detrimental and manifest in developmental anomalies and diseases (3, 4). Recent advances in quantitative proteomics offer snapshots of cell type–specific proteomes, but scientific understanding of how protein-protein interactions vary between physiological and disease conditions is limited.
These agents are particularly effective for tasks in which long-term interactions and personal relationships are known to be important, such as in education, sales and marketing, and the helping professions. Of these, I have focused my recent work within the healthcare domain on health education and health behavior change applications. In order to accomplish this, I conduct communication studies of health provider-patient interactions, develop new approaches to dialogue planning that can address both the behavioral intervention and social aspects of the interactions, and develop animated agents that can use appropriate nonverbal behavior in their simulated conversations with patients, as well as conduct clinical trials to evaluate the efficacy of the resulting systems.
Sara Piekarski, a speech-language pathologist in Tucson, Arizona, recently told Healthline that the link is, "absolutely accurate." She said, "When a child grows up in a language-rich environment, it shapes the way they understand, view, and use language. As parents, we lead by example, and our children naturally develop the same methods and use of language, even at a very young age." American Academy of Pediatrics (AAP) spokesperson and member of the executive committee of the Council on Early Childhood Dr. Dipesh Navsaria, agrees. But he cautions parents to consider that it may be more than just the number of words heard that make a difference.
Combination antibiotic therapies are clinically important in the fight against bacterial infections. However, the search space of drug combinations is large, making the identification of effective combinations a challenging task. Here, we present a computational framework that uses substructure profiles derived from the molecular structures of drugs and predicts antibiotic interactions. Using a previously published data set of 153 drug pairs, we showed that substructure profiles are useful in predicting synergy. We experimentally measured the interaction of 123 new drug pairs, as a prospective validation set for our approach, and identified 37 new synergistic pairs.