Incremental accumulation of linguistic context in artificial and biological neural networks.

Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the human brain. In this study, we show how the brain, unlike LLMs that process large text windows in parallel, integrates short-term and long-term contextual information through an incremental mechanism. Using fMRI data from 219 participants listening to spoken narratives, we first demonstrate that LLMs predict brain activity effectively only when using short contextual windows of up to a few dozen words.

Impact of warning pictorials and size on perceived effectiveness of cigar warning labels in a nationally representative between-subjects experiment.

Background: People who smoke cigars often have misperceptions about the associated risks, contributing to rises in smoking rates. This study investigates the perceived warning effectiveness (PWE) of health warning labels (HWLs) on cigar packages. We tested the impact of warning type and warning size in the HWLs on PWE and other health outcomes.

Vaccination against SARS-CoV-2 provides low-level cross-protection against common cold coronaviruses in mouse and non-human primate animal models.

The common cold coronaviruses are a source of ongoing morbidity and mortality particularly among elderly and immunocompromised individuals. While cross-reactive immune responses against multiple coronaviruses have been described following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination, it remains unclear if these confer any degree of cross-protection against the common cold coronaviruses. A recombinant fowl adenovirus vaccine expressing the SARS-CoV-2 spike protein (FAdV-9-S19) was generated, and protection from SARS-CoV-2 challenge was shown in K18-hACE2 mice.

The burden of Alagille syndrome: uncovering the potential of emerging therapeutics - a comprehensive systematic literature review.

Alagille syndrome (ALGS) is a rare, cholestatic multiorgan disease associated with bile duct paucity, leading to cholestasis. Clinical symptoms of cholestasis include debilitating pruritus, xanthomas, fat-soluble vitamin deficiencies, growth failure, renal disease and impaired health-related quality of life (HRQoL). The main objective was to review the current literature on the epidemiological, clinical, psychosocial and economic burden of ALGS in view of the development of ileal bile acid transporter (IBAT) inhibitors.

New Library-Based Methods for Nontargeted Compound Identification by GC-EI-MS.

While gas chromatography mass spectrometry (GC-MS) has long been used to identify compounds in complex mixtures, this process is often subjective and time-consuming and leaves a large fraction of seemingly good-quality spectra unidentified. In this work, we describe a set of new mass spectral library-based methods to assist compound identification in complex mixtures. These methods employ mass spectral uniqueness and compound ubiquity of library entries alongside noise reduction and automated comparison of retention indices to library compounds.