Abstract Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles.However, the GROOMING SPRAY scarcity of data in materials science and the poor interpretability of machine learning pose serious obstacles to the adoption of this new paradigm.Here, we propose a

OBJECTIVES/GOALS: Utilize polymer-based fiber scaffolds and machine learning methods applied to patient biomarker data to enhance and personalize Litter T cell expansion and production for T cell therapy in chronic lymphocytic leukemia.METHODS/STUDY POPULATION: Scaffolds are 1) generated from a co-polymer blend of PDMS and PCL with controlled fiber

The use of bleaching agent has increased as the result of increasing of paper consumption.The conventional bleaching agent that commonly used is material containing of chlorine.This material is not environmentally friendly and should be replaced by environmentally benign chemical, such as H2O2.About 40 gram of dry Akasia pulp was mixed with 600 ml

Background: We examined non-fatal drug overdoses during the COVID-19 pandemic among persons who inject drugs (PWID) in New York City (NYC).Methods: We recruited 275 PWID through respondent driven sampling and staff outreach from Oct.2021-Sept.2022 and enrolled in a cross-sectional survey.Information was collected on demographics, drug use behaviors

Ice accretion on railway overhead contact wires/conductors can cause various critical operational and safety issues such as overloading, arc formation, mass imbalance, and wire galloping.The focus of Binocular Harness this multiphase numerical study is to understand and analyze the ice accretion physics on railway overhead powerline conductors at v