Rendering the European neutron research landscape.

Neutrons, owing to their unique properties, serve as indispensable probes for investigating the structure and dynamics of materials across various length scales. The scientific community utilizing neutron research infrastructures encompasses a diverse range of disciplines, making it challenging to quantify its scientific and societal impact. To address this challenge, we apply Natural Language Processing (NLP) and machine learning techniques to analyze the scientific output of the European neutron science community.

Dynamic self-assembled meso-structures formed across a wide concentration range in aqueous solutions of propranolol hydrochloride.

Hypothesis: Nanoscale characterisation of the self-associated species formed by amphiphilic pharmaceuticals in aqueous solution carries relevance across their entire journey from development through to manufacture - relevant, therefore, not only as regards formulation of the drug products as medicines, but also potentially relevant to their bioavailability, activity, and clinical side effects. Such knowledge and understanding, however, can only be fully secured by applying a range of experimental and theoretical methodologies.

Experiments: Herein, we apply a synergistic combination of solubility, surface tension, SANS, NMR and UV spectroscopic studies, together with MD simulation and QM calculations, to investigate the meso-structures of propranolol hydrochloride aggregates in bulk aqueous solutions, at concentrations spanning 2.

Optimization Methodology of Polar Direct-Drive Illumination for the National Ignition Facility.

Improved laser illumination uniformity drives shocks and implosions to create more extreme high energy density environments. Predominantly, the geometry of experiments that can be performed is dictated by the layout of beams at laser facilities, limiting interfacility and multiscale investigations. This Letter presents the first automated, algorithmic approach for generating illumination configurations for high energy density experiments.

State of the Science: The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders.

Before the development of the Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders (UP), evidence-based treatment options for commonly co-occurring anxiety, mood, and related disorders consisted of numerous single-disorder protocols that shared many similarities, reflecting the overlap among these disorders themselves. The UP distilled common elements of cognitive behavioral protocols into a unified intervention directly targeting core temperamental features underlying these disorders of emotion, namely neuroticism and associated emotion dysregulation. The UP has since become a leading "transdiagnostic" treatment for emotional disorders, which is now available in several formats (e.