Solution Blow Spinning: An Emerging Nanomaterials-Based Wound-Care Technology.

Application of one-dimensional nanofibers have witnessed exponential growth over the past few decades and are still emerging with their excellent physicochemical and electrical properties. The driving force behind this intriguing transition lies in their unique high surface-to-volume ratio, ubiquitous nanodomains, improved tensile strength, and flexibility to incorporate deliberate functionalities required for specific and advanced applications. Besides numerous benefits, nanomaterials may adversely interact with biological tissues and potentially be cytotoxic and carcinogenic.

Immersive Videography of Ancient DNA Extraction for Community Engagement and Educational Initiatives by the Anson Street African Burial Ground Project.

Objective: Community engagement is an increasingly important component of ancient DNA (aDNA) research, especially when it involves archeological individuals connected to contemporary descendants or other invested communities. However, effectively explaining methods to non-specialist audiences can be challenging due to the intricacies of aDNA laboratory work. To overcome this challenge, the Anson Street African Burial Ground (ASABG) Project employed a GoPro camera to visually document the process of aDNA extraction for use in community engagement and education events.

Discovery and clinical translation of ceperognastat, an O-GlcNAcase (OGA) inhibitor, for the treatment of Alzheimer's disease.

Introduction: The aggregation and spread of hyperphosphorylated, pathological tau in the human brain is hypothesized to play a key role in Alzheimer's disease (AD) as well as other neurogenerative tauopathies. O-GlcNAcylation, an important post-translational modification of tau and many other proteins, is significantly decreased in brain tissue of AD patients relative to healthy controls. Increased tau O-GlcNAcylation has been shown to reduce tau pathology in mouse in vivo tauopathy models.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.