Publications by authors named "Zhongbin Li"

Objective: This study aimed to examine the associations of different types and duration with sedentary behaviors and depressive symptoms among college students.

Methods: A cross-sectional study was conducted at a university in Shanghai, China, utilizing convenience sampling to recruit 3,190 participants (mean age 20.06 ± 1.

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  • About 20% of patients being treated for chronic hepatitis B experience low-level viraemia (LLV), leading to inflammation, fibrosis progression, and higher cancer risk.
  • In a study of 1,653 patients treated with entecavir, factors like HBeAg positivity, high HBV DNA levels, and liver cirrhosis were found to be significantly linked to the development of LLV.
  • The findings suggest that monitoring high HBV DNA/HBsAg levels, low platelet counts, and liver health is crucial for identifying patients at risk for LLV during treatment.
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Hybrid breeding has proven to enhance meat quality and is extensively utilized in goose breeding. Nevertheless, there is a paucity of research investigating the molecular mechanisms that underlie the meat quality of hybrid geese. In this study, we employed the Sichuan White Goose as the maternal line for hybridization with the Zhedong White Goose and Tianfu Meat Goose P3 line.

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  • The recent rise in dam construction has triggered discussions about their roles in carbon neutrality and food security, revealing a balance between economic benefits and environmental impacts.
  • Research analyzed the effects of 137 large dams in China from 1992 to 2020, discovering that while carbon emissions increased moderately, carbon storage rose significantly due to forest conservation in affected areas.
  • The study also found that nearby agricultural areas may benefit from improved grain yields due to enhanced water availability, emphasizing the need to evaluate land cover changes for better dam placement and carbon emission management.
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Greenhouse gas satellites can provide consistently global CO data which are important inputs for the top-down inverse estimation of CO emissions and their dynamic changes. By tracking greenhouse gas emissions, policymakers and businesses can identify areas where reductions are needed most and implement effective strategies to reduce their impact on the environment. Monitoring greenhouse gases provides valuable data for scientists studying climate change.

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Employees' green innovation behavior is a key factor in enterprises' promotion of green development strategies. Combining social information processing and social exchange theory, this article considers workers' green organizational commitment (GOC) as a mediating construct and knowledge sharing as a moderating construct and establishes a model of the influence of green human resource management (GHRM) on workers' green innovation conduct in company settings. An empirical analysis of 436 employees from 28 high-tech enterprises in Fujian Province shows that GHRM has a positive significant bearing on workers' green innovation conduct.

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Based on the regret regulation theory and entrepreneurial cognition theory, this study aims to investigate the relationship between entrepreneurs' anticipated regret and entrepreneurial persistence through the mediator of entrepreneurial cognition. To that end, we distributed surveys to entrepreneurs who were supported by the "Xing Chuang Tian Di" project and used 248 questionnaire data to examine the hypotheses. The results show that entrepreneurs' anticipated regret has a significant and direct impact on entrepreneurial persistence.

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Slanted axial-flow pump devices are widely applied in urban water supply, irrigation and drainage engineering fields. The second law of thermodynamics is applied to investigate the flow loss characteristics of the 30° slanted axial-flow pump model according to the flow loss analysis method of entropy production theory, so that the hydraulic loss characteristics can be revealed in internal flow process of the slanted axial-flow pump. The three-dimensional numerical simulation of the whole flow conduit in slanted axial-flow pump was conducted and the entropy production increased in the flow process was calculated.

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In this paper, we proposed a quality of transmission (QoT) prediction technique for the quality of service (QoS) link setup based on machine learning classifiers, with synthetic data generated using the transmission equations instead of the Gaussian noise (GN) model. The proposed technique uses some link and signal characteristics as input features. The bit error rate (BER) of the signals was compared with the forward error correction threshold BER, and the comparison results were employed as labels.

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  • There are currently no effective noninvasive methods for diagnosing fibrosis in patients suffering from chronic drug-induced liver injury (DILI).
  • The study aimed to create a predictive algorithm called LAC to enhance diagnostic accuracy for significant fibrosis by analyzing data from 1,130 patients and comparing various biomarkers.
  • The LAC score outperformed traditional measures like LSM, CHE, and APRI, demonstrating strong potential for accurately assessing disease progression and guiding treatment for chronic DILI patients.
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Background And Aims: About 20% of patients receiving nucleos(t)ide analogues treatment experienced low-level viraemia (LLV), which is associated with progression of liver fibrosis and high risk of hepatocellular carcinoma. We aimed to evaluate the effectiveness and safety of switching from entecavir (ETV) to tenofovir alafenamide fumarate (TAF) in ETV-treated patients with LLV.

Methods: In this prospective study, ETV-treated patients with LLV, presented to our hospital from December 2018 to October 2019, were enrolled.

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In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations. The recent availability of medium resolution Landsat-8 and Sentinel-2 satellite data provide the opportunity for aerosol optical depth (AOD) estimation at higher spatial resolution than provided by other satellites. A year of 30 m Landsat-8 and 10 m Sentinel-2A AOD data retrieved using the Land Surface Reflectance Code (LaSRC) were compared with coincident ground-based Aerosol Robotic Network (AERONET) Version 3 AOD data for 20 Chinese cities.

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Large-scale production of active and stable porous carbon catalysts for oxygen reduction reaction (ORR) from protein-rich biomass became a hot topic in fuel cell technology. Here, we report a facile strategy for synthesis of nitrogen-doped porous nanocarbons by means of a simple two-step pyrolysis process combined with the activation of zinc chloride and acid-treatment process, in which kidney bean via low-temperature carbonization was preferentially adopted as the only carbon-nitrogen sources. The results show that this carbon material exhibits excellent ORR electrocatalytic activity, and higher durability and methanol-tolerant property compared to the state-of-the-art Pt/C catalyst for the ORR, which can be mainly attributed to high graphitic-nitrogen content, high specific surface area, and porous characteristics.

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The great challenge of boosting the oxygen reduction reaction (ORR) activity of non-noble-metal electrocatalysts is how to achieve effective exposure and full utilization of nitrogen-rich active sites. To realize the goals of high utilization of active sites and fast electron transport, here we report a new strategy for synthesis of an iron and nitrogen co-doped carbon nanolayers-wrapped multi-walled carbon nanotubes as ORR electrocatalyst (N-C@CNT-Fe) via using partially carbonized hemoglobin as a single-source precursor. The onset and half-wave potentials for ORR of N-C@CNT-Fe are only 45 and 54 mV lower than those on a commercial Pt/C (20 wt.

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The design of noble-metal-free catalysts for oxygen reduction reaction (ORR) is very important to the commercialization of fuel cells. Here, we use a Co-modified montmorillonite (Co-MMT) as a flat template to prepare Co- and N-doped nanocarbon ORR catalysts derived from carbonization of polyaniline at controlled temperatures. The use of flat template can hinder the agglomeration of polyaniline during pyrolysis process and optimize the N-rich active site density on the surface.

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Selecting appropriate initial values is critical for parameter estimation in nonlinear photosynthetic light response models. Failed convergence often occurs due to wrongly selected initial values when using currently available methods, especially the kind of local optimization. There are no reliable methods that can resolve the conundrum of selecting appropriate initial values.

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So far, the development of highly active and stable carbon-based electrocatalysts for oxygen reduction reaction (ORR) to replace commercial Pt/C catalyst is a hot topic. In this study, a new nanoporous nitrogen-doped carbon material was facilely designed by two-step pyrolysis of the renewable Lemna minor enriched in crude protein under a nitrogen atmosphere. Electrochemical measurements show that the onset potential for ORR on this carbon material is around 0.

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The development of highly stable and efficient electrocatalysts for sluggish oxygen reduction reaction (ORR) is exceedingly significant for the commercialization of fuel cells but remains a challenge. We here synthesize a new nitrogen-doped biocarbon composite material (N-BC@CNP-900) as a nitrogen-containing carbon-based electrocatalyst for the ORR via facile all-solid-state multi-step pyrolysis of bioprotein-enriched enoki mushroom as a starting material, and inexpensive carbon nanoparticles as the inserting matrix and conducting agent at controlled temperatures. Results show that the N-BC@CNP-900 catalyst exhibits the best ORR electrocatalytic activity with an onset potential of 0.

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The search for low-cost, highly active, and stable catalysts to replace the Pt-based catalysts for oxygen reduction reaction (ORR) has recently become a topic of interest. Herein, we report a new strategy to design a nitrogen-doped carbon nanomaterial for use as a metal-free ORR catalyst based on facile pyrolysis of protein-rich enoki mushroom (Flammulina velutipes) biomass at 900 °C with carbon nanotubes as a conductive agent and inserting matrix. We found that various forms of nitrogen (nitrile, pyrrolic and graphitic) were incorporated into the carbon molecular skeleton of the product, which exhibited more excellent ORR electrocatalytic activity and better durability in alkaline medium than those in acidic medium.

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Background/aims: New strategies for the prevention and treatment of cirrhosis are urgently needed for improving therapeutic outcome. A role of microRNAs (miRNAs) in the pathogenesis of cirrhosis has been recently acknowledged, whereas the exact involved miRNAs as well as the associated molecular signaling pathways have not been determined. Specifically, the studies on the relationship between miR-22 and bone morphogenic protein 7 (BMP7) in the development of cirrhosis are lacking.

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Spontaneous bacterial peritonitis (SBP) is a common complication of cirrhosis. Based on our current understanding of SBP, the most common etiologies for SBP in cirrhosis are Enterobacter and Streptococcal species. Th e Aeromonas species are ubiquitous in fresh or sea water.

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Objective: To investigate reliability of FibroScan (FS) in diagnosing size of oesophageal varices (OV) in patients with liver cirrhosis.

Methods: A total of 260 patients with liver cirrhosis were enrolled in the study. All patients underwent endoscopy to assess OV stage and FS to measure liver stiffness.

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Objective: To investigate the frequency and determinants of liver stiffness measurement (LSM) failure by means of FibroScan in "real-life" Chinese patients.

Methods: A total of 38,464 "real-life" Chinese patients in 302 military hospital of China through the whole year of 2013, including asymptomatic carrier, chronic hepatitis B, chronic hepatitis C, liver cirrhosis (LC), alcoholic liver disease, autoimmune liver disease, hepatocellular carcinoma (HCC) and other, were enrolled, their clinical and biological parameters were retrospectively investigated. Liver fibrosis was evaluated by FibroScan detection.

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