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Gestures, i.e. the symbolic movements that speakers perform while they speak, form a closely interconnected system with speech, where gestures serve both addressee-directed (‘communicative’) and speaker-directed (‘internal’) functions. This article aims (1) to show that a combined analysis of gesture and speech offers new ways to address theoretical issues in second language acquisition (SLA) and

In the conceptual design phase, solutions are reached through an iterative, high-paced and often chaotic manner. Conventional advanced structural analysis software is often too advanced and insufficiently agile to follow this high-paced work pattern. Premature use of advanced structural analysis tools can negatively affect conceptual understanding and the quality of the conceptual design. The mult

We present an experimental study of velocity fluctuations in quasistatic flow of a 2D granular material deformed in a shear apparatus named 1γ2ε [1]. Radjaï and Roux [2] revealed systematic similarities between velocity fluctuations observed in discrete element simulations of quasistatic flow of granular material and turbulent flows in fluids. The character of these velocity fluctuations - named g

Summary: Codon sequences can influence proteins to misfold during cotranslational folding. Here, we develop an in vivo assay in E. coli to comprehensively study the impact of single synonymous substitutions on protein folding efficiency and apply it to the N-terminal domain of ddlA. By mapping the influence of codons along the sequence, we show that codon identity can substantially influence foldi

In ultra high-energy collisions, nuclei with very low binding energies are not expected to survive the dense and hot final state environment. The traditional view has therefore been that nuclei form via coalescence after the hot environment has dissipated. However, statistical thermal models, where hadrons are produced from a fireball at thermal equilibrium, can describe the relative abundances of

We present a general technique for efficient computation of second order information for optimization functionals involving many variables of different nature, frequently appearing in modern applications. This technique relies on the bilinear Hessian, and while the main tools for this task have been published elsewhere, we here focus on the problem of how to organize the computations in the multi-

Background: Stroke remains a global health challenge, with its burden disproportionately affecting developing nations, including Iran. Rapid access to medical care is crucial for improving outcomes. However, spatial and temporal factors often leads to delays, adversely impacting survival. This study investigated predictors of in-hospital mortality among stroke patients in Mashhad, Iran, with a nov

We study feedback-driven cold dark matter core creation in the edge suite of radiation-hydrodynamical dwarf galaxy simulations. Understanding this process is crucial when using observed dwarf galaxies to constrain the particle nature of dark matter. While previous studies have shown that the stellar mass to halo mass ratio (M∗/M200) determines the extent of core creation, we find that in low-mass

Radial migration and dynamical heating redistribute stars within galactic discs and thereby modify the chemo-kinematic structure of their host galaxies. Usually, these secular processes are studied in N-body and hydrodynamical simulations of Milky Way analogues with stellar-dominated discs. In contrast, discs at high redshift are gas rich, which may qualitatively change how secular evolution proce

Language-based assessments (LBAs), quantitative estimates of scientific constructs based on language, have advanced methods in the psychological and social sciences for more than a decade. LBAs based on individuals’ prompted descriptions analyzed with large language models to produce scores of their psychological states and traits have shown strong convergence with the corresponding rating scales

Artificial intelligence (AI) shows promise in identifying psychopathology through language, but replicability in AI models remains challenging. We develop an AI-based language assessment of posttraumatic-stress-disorder (PTSD) severity and introduce the sequential evaluation with model preregistration to rigorously evaluate its validity and replicability. This design includes two phases: developme