Lattice distortion and disorder in the chemical environment of magnetic atoms within high-entropy compounds present intriguing issues in the modulation of magnetic functional compounds. However, the complexity inherent in high-entropy disordered systems has resulted in a relative scarcity of comprehensive investigations exploring the magnetic functional mechanisms of these alloys. Herein, we investigate the magnetocaloric effect (MCE) of the high-entropy intermetallic compound GdTbDyHoErCo.
View Article and Find Full Text PDFMultiple imputation (MI) models can be improved with auxiliary covariates (AC), but their performance in high-dimensional data remains unclear. We aimed to develop and compare high-dimensional MI (HDMI) methods using structured and natural language processing (NLP)-derived AC in studies with partially observed confounders. We conducted a plasmode simulation with acute kidney injury as outcome and simulated 100 cohorts with a null treatment effect, incorporating creatinine labs, atrial fibrillation (AFib), and other investigator-derived confounders in the outcome generation.
View Article and Find Full Text PDFLow temperature severely limits the growth, yield, and geographical distribution of maize (Zea mays L.). How maize adapts to cold climates remains largely unclear.
View Article and Find Full Text PDFRapid charge recombination, limited light response, and slow surface reactions were observed in the photocatalysts, thereby limiting their future-oriented applications in photocatalytic hydrogen production through water splitting. Constructing a multi-channel charge separation photocatalysis system could solve those questions. In this study, Pd-TiO-CuO composites were successfully accomplished via a facile chemical reduction method.
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