Hearing what is being said: the distributed neural substrate for early speech interpretation.

Speech comprehension is remarkable for the immediacy with which the listener hears what is being said. Here, we focus on the neural underpinnings of this process in isolated spoken words. We analysed source-localised MEG data for nouns using Representational Similarity Analysis to probe the spatiotemporal coordinates of phonology, lexical form, and the semantics of emerging word candidates.

Synthesis, characterization and comparative biological activity of a novel set of Cu(II) complexes containing azole-based ligand frames.

The synthesis and spectroscopic characterization of three complexes containing a substituted 2-(2-pyridyl)benzothiazole (PyBTh) group in the ligand frame are reported along with the comparative biological activity. The ligands have been substituted at the 6-position with either a methoxy (Py(OMe)BTh) or a methyl group (Py(Me)BTh). Reaction of Py(OMe)BTh with either CuCl or Cu(NO)·2.

Report of the 2023-2024 Strategic Engagement Standing Committee.

The American Association of Colleges of Pharmacy has long emphasized the value of strategic engagement, recognizing that it is critical to the success of pharmacy education, contributing to the expansion of pharmacy and public health practice, the fulfillment of institutional missions, and the meeting of programmatic needs. The 2023-2024 Strategic Engagement Committee was charged with operationalizing advocacy champions, creating an advocacy resource guide to support advocacy champions in their engagement with diverse public and private stakeholders, offering formal training to advocacy champions in the form of a new connect community and webinar series, and conducting focus groups at the 2024 Annual Meeting to determine strengths of the advocacy guide and opportunities to support advocacy champions further.

Finding structure during incremental speech comprehension.

A core aspect of human speech comprehension is the ability to incrementally integrate consecutive words into a structured and coherent interpretation, aligning with the speaker's intended meaning. This rapid process is subject to multidimensional probabilistic constraints, including both linguistic knowledge and non-linguistic information within specific contexts, and it is their interpretative coherence that drives successful comprehension. To study the neural substrates of this process, we extract word-by-word measures of sentential structure from BERT, a deep language model, which effectively approximates the coherent outcomes of the dynamic interplay among various types of constraints.