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Progesterone is an important natural hormone regulating ovulation and menstruation. The present study aimed to investigate the pharmacokinetics and safety of two formulations of progesterone in Chinese postmenopausal females under fasting and fed conditions. The study adopted a single‐dose, open‐label, randomized, three‐period bioequivalence design. A total of 96 subjects were enrolled and randomly assigned to the fasting cohort or fed cohort. A high‐fat meal (890 kcal) was used in the fed study. The reference‐scaled average bioequivalence method was used for bioequivalence evaluation. A high‐fat meal led to a 22‐fold higher peak concentration (Cmax) and a 7‐fold higher area under the curve (AUC) while time to reach Cmax and half‐life was not significantly affected. The concentration–time curve displayed double peaks suggesting the existence of enterohepatic circulation. The test/reference geometric mean ratios for Cmax and AUC under fasting and fed conditions are all within the range of 80% to 125%. All adverse events (AEs) that occurred during the trial were mild and did not cause drop‐out, though these AEs occurred more frequently under fed state. In conclusion, the two formulations of progesterone are bioequivalent in Chinese subjects under fasting and fed conditions. Drug label modification regarding food effects needs further discussion. [ABSTRACT FROM AUTHOR]

Hydrogen fuel cell vehicles have been promoted as a complement to electric vehicles (EVs) to facilitate the decarbonization of transportation networks (TNs). The coordinated operation of a networked hydrogen-power-transportation system with distributed hydrogen supplies is proposed in this research. To maximize the synergistic effect, TN's couplings in hydrogen transport delays and refueling/charging demand are further integrated into the conventional hydrogen-power system. The objective is to maximize the total profits, subject to both the coupling and network constraints. To present the storage effect of hydrogen tube trailers with delays, an extended discrete user equilibrium (UE) is developed and the traditional UE is adopted to formulate refueling-charging demand couplings. Considering the hydrogen supply process, it especially involves the constraints of hydrogen production, storage, utilization, and dispensation. A data-driven robust chance-constrained programming is provided to account for multiple uncertainties from energy/traffic demand and renewable power. Simulation results of the 48-node system show that the proposed model improves the total profits. • The coordinated operation of a networked hydrogen-power-transportation system is proposed. • The traffic flow couplings with hydrogen transport delays and refueling/charging demand are integrated to maximize the synergistic effect. • An extended discrete user equilibrium is developed to present the storage and delay effect of hydrogen trasport. • A data-driven robust chance-constrained programming is used to deal wth the uncertainties in demand and generation. [ABSTRACT FROM AUTHOR]