Direct observation of carbon dioxide adsorption and binding at the air/aqueous interface.

Carbon dioxide removal (CDR) involves reducing carbon dioxide (CO₂) concentrations. Developing new technologies and enhancing existing ones for extracting and converting CO₂ are ongoing areas of research. In all these technologies, the movement of CO molecules through an interface is a common process.

Establishing a GMP-compliant manufacturing process and phase-appropriate analytics for early development of a FiCAR T-cell product with a novel CAR spacer.

There is a growing demand for chimeric antigen receptor (CAR) -T cells for clinical trials. Consequently, new centers capable of manufacturing advanced therapy medicinal products (ATMPs) are needed. In this study, we established a good manufacturing practice -compliant manufacturing process and phase-appropriate analytics for a novel autologous CD19-targeted CAR T-cell product, 19-FiCART.

Technetium and Rhenium Auto-reduction, Polymerization and Lability towards Group VII Polyoxometalate Chemistry.

Group VII Tc and Re have long been studied to develop both radiopharmaceuticals and technologies for nuclear materials management. Fundamental research has targeted understanding this periodic table crossroads where polyoxometalates meets metal-metal bonded complexes. Here we have isolated green hygroscopic and metastable crystals of (Re)(Re)(OH)(O)⋅HO (Re-green, tet=tetrahedral, oct=octahedral), determined by single-crystal x-ray diffraction.

Machine Learning and Deep Learning Models for Automated Protocoling of Emergency Brain MRI Using Text from Clinical Referrals.

Purpose To develop and evaluate machine learning and deep learning-based models for automated protocoling of emergency brain MRI scans based on clinical referral text. Materials and Methods In this single-institution, retrospective study of 1953 emergency brain MRI referrals from January 2016 to January 2019, two neuroradiologists labeled the imaging protocol and use of contrast agent as the reference standard. Three machine learning algorithms (Naïve Bayes, support vector machine, and XGBoost) and two pretrained deep learning models (Finnish BERT and GPT-3.

Aqueous Zr/Hf-Oxo Cluster Speciation and Separation.

Many industrial separations of chemically-similar elements are achieved by solvent extraction, exploiting differences in speciation and solubility across aqueous-organic interfaces. We recently identified [OM(OH)(SCN)] (OM, M=Zr/Hf) tetrahedral oxoclusters as the main species in industrial processes that produce nuclear-grade Zr and Hf from crude ore. However, isostructural/isoelectronic OM-oxoclusters do not explain selective extraction of Hf into the organic phase.