Operando Synchrotron X-Ray Absorption Spectroscopy: A Key Tool for Cathode Material Studies in Next-Generation Batteries.

Rechargeable batteries are central to modern energy storage systems, from portable electronics to electric vehicles. The cathode material, a critical component, largely dictates a battery's energy density, capacity, and overall performance. This review focuses on the application of operando X-ray absorption spectroscopy (XAS) to study cathode materials in Li-ion, Na-ion, Li-S, and Na-S batteries.

Pertussis Vaccination for Adults: An Updated Guide for Clinicians.

Pertussis, or whooping cough, is a highly contagious respiratory infection caused by the Gram-negative bacterium . Although traditionally associated with children, pertussis is increasingly prevalent among adults, particularly those with comorbidities or weakened immune systems, where it can lead to severe complications. Diagnosing pertussis in adults can be challenging due to its nonspecific symptoms, underreporting, and the limited sensitivity of available diagnostic tests.

Diagnostic Accuracy of Breath Tests to Detect Pulmonary Tuberculosis: A Systematic Review.

Purpose: Tuberculosis (TB) is a highly contagious infection and one of the world's leading causes of death from a single infectious agent. Currently, TB diagnosis can be established via mycobacterial cultures, Acid Fast Bacilli smear and molecular studies. In the ever-evolving landscape of medical advancements, breath tests have shown considerable promise.

Smart Imitator: Learning from Imperfect Clinical Decisions.

Objectives: This study introduces Smart Imitator (SI), a 2-phase reinforcement learning (RL) solution enhancing personalized treatment policies in healthcare, addressing challenges from imperfect clinician data and complex environments.

Materials And Methods: Smart Imitator's first phase uses adversarial cooperative imitation learning with a novel sample selection schema to categorize clinician policies from optimal to nonoptimal. The second phase creates a parameterized reward function to guide the learning of superior treatment policies through RL.