Structural Gating Enhances Long-Distance Light-Driven Interfacial Electron Transfer.

Structural gating provides a molecular means to transfer electrons preferentially in one desired vectorial direction, a behavior needed for applications in artificial photosynthesis. At the interfaces utilized herein, visible-light absorption by a transition metal complex a "structural gate" by planarization of otherwise rotating phenyl rings in phenylene ethynylene (PE) bridge units. Planarization provides a conjugated pathway for electron flow toward a conductive oxide surface.

Green turtle tracking leads the discovery of seagrass blue carbon resources.

Seagrass meadows are natural carbon sinks, and their conservation and restoration play a crucial role in climate change mitigation and adaptation. However, blue carbon projects are hindered, in most nations, by major gaps in understanding the distribution and extent of seagrasses. Here, we show how satellite tracking of green turtles () provided a major advance in identifying novel seagrass blue carbon resources in the Red Sea.

Bacteriophage-Activated DNAzyme Hydrogels Combined with Machine Learning Enable Point-of-Use Colorimetric Detection of Escherichia coli.

Developing cost-effective, consumer-accessible platforms for point-of-use environmental and clinical pathogen testing is a priority, to reduce reliance on laborious, time-consuming culturing approaches. Unfortunately, a system offering ultrasensitive detection capabilities in a form that requires little auxiliary equipment or training has remained elusive. Here, a colorimetric DNAzyme-crosslinked hydrogel sensor is presented.

A novel, machine-learning model for prediction of short-term ASCVD risk over 90 and 365 days.

Background: Current atherosclerotic cardiovascular disease (ASCVD) risk assessment tools like the Pooled Cohort Equations (PCEs) and PREVENT™ scores offer long-term predictions but may not effectively drive behavior change. Short-term risk predictions using mobile health (mHealth) data and electronic health records (EHRs) could enhance clinical decision-making and patient engagement. The aim of this study was to develop a short-term ASCVD risk prediction model for hypertensive individuals using mHealth and EHR data and compare its performance to existing risk assessment tools.

Durvalumab Versus Chemotherapy as First-line Treatment for Metastatic NSCLC With Tumor PD-L1 Expression of 25% or Higher: Results From the Randomized Phase 3 PEARL Study.

Introduction: PEARL (NCT03003962) is an open-label, phase 3 study comparing first-line durvalumab monotherapy with chemotherapy in patients with metastatic NSCLC (mNSCLC [EGFR/ALK wild type]) with programmed cell death ligand 1 (PD-L1) tumor cell (TC) membrane expression status of 25% or higher. We report the final analysis of PEARL.

Methods: Adults (N = 669) with previously untreated stage IV mNSCLC were randomized (1:1) to durvalumab 20 mg/kg every four weeks or chemotherapy every three weeks for four to six cycles.