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Aim: This study aimed to evaluate the cost‐effectiveness of hepatitis E vaccination strategies in chronic hepatitis B (CHB) patients. Methods: Based on the societal perspective, the cost‐effectiveness of three hepatitis E vaccination strategies—vaccination without screening, screening‐based vaccination, and no vaccination—among CHB patients was evaluated using a decision tree–Markov model, and incremental cost‐effectiveness ratios (ICERs) were calculated. Values for treatment costs and health utilities were estimated from a prior investigation on disease burden, and values for transition probabilities and vaccination‐related costs were obtained from previous studies and government agencies. Sensitivity analyses were undertaken for assessing model uncertainties. Results: It was estimated that CHB patients superinfected with hepatitis E virus (HEV) incurred significantly longer disease course, higher economic burden, and more health loss compared to those with HEV infection alone (all p < 0.05). The ICERs of vaccination without screening and screening‐based vaccination compared to no vaccination were 41,843.01 yuan/quality‐adjusted life year (QALY) and 29,147.32 yuan/QALY, respectively, both lower than China's per‐capita gross domestic product (GDP) in 2018. The screening‐based vaccination reduced the cost and gained more QALYs than vaccination without screening. One‐way sensitivity analyses revealed that vaccine price, vaccine protection rate, and decay rate of vaccine protection had the greatest impact on the cost‐effectiveness analysis. Probabilistic sensitivity analyses confirmed the base‐case results, and if the willingness‐to‐pay value reached per‐capita GDP, the probability that screening‐based vaccination would be cost‐effective was approaching 100%. Conclusions: The disease burden in CHB patients superinfected with HEV is relatively heavy in China, and the screening‐based hepatitis E vaccination strategy for CHB patients is the most cost‐effective option. [ABSTRACT FROM AUTHOR]

Aims This study explores the impact of gut microbiota on body metabolites and the growth rate of sea cucumber seedlings. Methods and results A comprehensive analysis using metabolomics and microbiomics was conducted to ascertain the gut microbiota and body metabolites in sea cucumber seedlings exhibiting varying growth rates. Distinct changes in the intestinal flora were observed in correlation with different growth rates of sea cucumber seedlings. The microbial communities of faster-growing seedlings exhibited greater diversity and evenness of taxa. For example, the abundance of genera Rhodococcus, Woeseia, Lysobacter, Desulfuromonadia_Sva1033 , and Flavobacteriaceae_NS5_marine_group was more than 24 times higher in the fast-growing group compared to the slow-growing group. Metabolomics analysis revealed an association between high growth rates of cucumber seedlings and discrepancies in metabolites, such as amino acids, lipids, and carbohydrates. Isorenieratene, possibly synthesized by Rhodococcus , was more than 2.5 times more abundant in the fast-growing group than the slow-growing group. Slow-growing seedlings showed considerable enrichment of environmental pollutants, such as antibiotics and drugs, while their colonies were devoid of bacteria capable of degrading such pollutants. In addition, significant differences were observed between groups in the biosynthesis of amino acids, metabolism of arginine and proline, biosynthesis of unsaturated fatty acids, and metabolism of linoleic acid. Moreover, significant correlations between the microbial genera and sea cucumber metabolites were identified through correlation analysis. Conclusions Significant differences exist in the gut microbiota and metabolite composition among seedlings with varying growth rates. Microbes residing in the gut have the potential to influence the growth of seedlings through modulation of their metabolism. [ABSTRACT FROM AUTHOR]

Plastic waste is causing serious environment pollution and its efficient disposal is attracting more and more attention. The use of catalysts not only reduced the degradation temperature of plastic wastes but also facilitated the production of valuable chemicals. Herein, mesopores were introduced into HZSM-5 zeolites by alkali and acid treatment, which was expected to eliminate the diffusion resistance caused by bulky polymer molecules and improve the catalytic activity. It was found that HZSM-5 zeolites enhanced PE, PP and PS degradation, and an increase of mesopore volume further improved the catalytic activity and reduced the activation energy. For example, the use of HZSM-5 in PP degradation decreased the activation energy from 146.9 kJ mol−1 to 93.1 kJ mol−1, and mesopore-rich HZSM-5 further decreased the activation energy to 84.0 kJ mol−1. The molecular diameter of the PP fragment was obtained by theoretical calculations, and it was close to 1.6 nm, which was significantly higher than the micropore diameter of HZSM-5 zeolites (0.5–0.6 nm) while lower than the mesopore diameter. It was concluded that the presence of mesopores provided the place and space for plastics degradation. [ABSTRACT FROM AUTHOR]

Reliable facility location models consider unexpected failures with site-dependent probabilities, as well as possible customer reassignment. This paper proposes a compact mixed integer program (MIP) formulation and a continuum approximation (CA) model to study the reliable uncapacitated fixed charge location problem (RUFL) which seeks to minimize initial setup costs and expected transportation costs in normal and failure scenarios.The MIP determines the optimal facility locations as well as the optimal customer assignments, and the MIP is solved using a custom-designed Lagrangian Relaxation (LR) algorithm. The CA model predicts the total system cost without details about facility locations and customer assignments, and it provides a fast heuristic to find near-optimum solutions. Our computational results show that the LR algorithm is efficient for mid-sized RUFL problems and that the CA solutions are close to optimal in most of the test instances. For large-scale problems, the CA method is a good alternative to the LR algorithm that avoids prohibitively long running times.

In this work, a new diamine was designed by connecting flexible structures such as ether bond and aliphatic carbon chain between benzene rings, and was synthesized and purified through simple reactions such as Suzuki reaction. Finally, a series of polyimide (PI) films were synthesized by copolymerization with 4.4'-diaminodiphenyl ether (ODA)\pyromellitic dianhydride (PMDA) in different proportions. We prepared polyimide films with new monomer copolymerization ratios of 1% (PI-1), 5% (PI-2), 10% (PI-3), and 20% (PI-4). The polyimide films showed excellent glass transition temperatures, which were attributed to their unique bent architectures. The mechanical and thermal properties of the thermosets were studied using tensile testing, static thermomechanical analysis (TMA), and thermogravimetric analysis (TGA). As the results, the films exhibited the optimal glass transition temperatures (317.56°C–381.91°C), and the component with the highest copolymerization ratio has a 15% decrease in glass transition temperature compared to the component without copolymerization. Moreover, PI-1-PI-4 showed good heat resistance in the N2 atmosphere. The temperatures corresponding to a 5% heat loss in the films (T5%) were 458.12 °C–548.75°C, respectively. [ABSTRACT FROM AUTHOR]