Publications by authors named "R K Zheng"

Hydrogen storage as hydrates is one of the most environmentally benign approaches to store hydrogen as it requires only water and traces of promoters. However, the scalability of storing hydrogen hydrate formation is hindered by the limited understanding of the structure, dynamics and energetics of hydrogen and promoters in the hydrate cages. In this study, molecular dynamics simulation configurations with different occupancy modes of H and tetrahydrofuran (THF) in the hydrate cages are investigated under the following scenarios: (i) two H molecules occupying the small cages, (ii) occupancy of H molecules in the THF-free large cages, and (iii) co-occupancy of H and THF in one large cage.

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Objectives: Familial Male-Limited Precocious Puberty (FMPP) is a rare autosomal-dominant genetic condition with sexual dimorphism. We aim to summarize the clinical characteristics of FMPP patients and emphasize the use of a therapeutic regimen involving letrozole, spironolactone, and GnRHa, to augment clinician's understanding of the disease, thus enhancing patient care.

Methods: We retrospectively analyzed the clinical data of 10 FMPP patients and conducted follow-up assessments of adult height in six patients.

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Efficient hydrogen production via electrochemical water splitting is vital for sustainable energy applications, with the HER in acidic media requiring highly effective catalysts. In this study, we report the synthesis of BiOSe nanosheets through a scalable hydrothermal method, achieving exceptional catalytic performance in acidic conditions. The BiOSe nanosheets exhibit a low overpotential of 104 mV at 10 mA cm, significantly outperforming other bismuth-based HER catalysts.

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Enterolignan is a vital anticancer compound, and benzyl ether reductase (BER) plays a key role in its biosynthesis by facilitating lignan biotransformation. Using virtual alanine scanning and site-directed mutagenesis, we identified critical residues influencing BER activity in DSM 2243. Mutations Y214A, K383A, and K395A led to a near-complete loss of enzymatic activity, highlighting their essential roles.

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Pancreatic cancer (PCa) is one of the malignant tumors with an extremely poor prognosis. Rare biomarkers exist for predicting the outcomes of PCa patients. This study aimed to develop a nomogram model based on serum microRNA-24 (miR-24) and clinicopathological factors to predict overall survival (OS) and treatment response to conventional adjuvant chemotherapy (ACT) in patients with PCa.

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