Publications by authors named "Liu Junhe"

Macroalgae growth depends on biologically available nitrogen, such as ammonium and nitrate, making nitrogen the most common growth-limiting factor for macroalgae. However, the role of surface microorganisms in promoting nitrogen transformation and improving nitrogen utilization by macroalgae remains unclear. In this study, 228 bacterial strains were isolated from the surface of , and high-throughput sequencing revealed significant shifts in the composition of surface bacterial communities under different nitrogen concentrations.

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In this research, we present PerceptHashing, a technique designed to categorize million-scale agricultural scenic images by incorporating human gaze shifting paths (GSPs) into a hashing framework. For each agricultural image, we identify visually and semantically significant object patches, such as fields, crops, and water bodies. These patches are linked to form a graphlet, establishing a network of spatially adjacent patches, and a GSP is then extracted using an active learning algorithm.

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Background: With the demand for more effective and engaging teaching strategies in higher education, there is an imperative to blend traditional and innovative methods to optimize student learning outcomes. To address this educational need, this study sets out to design and evaluate a hybrid learning approach that integrates a flipped classroom based on working process systematization (termed "W + flipped classroom") teaching design with blended online and offline methods based on the BOPPPS (bridge-in, objective/outcome, preassessment, participatory learning, post assessment, summary, termed "B + BOPPPS") teaching model and explore its application effects in the field of biological separation engineering.

Methods: The undergraduate class of 2020 majoring in biomedical engineering from Huanghuai University was designated the control group (n = 74), while the undergraduate class of 2021 was chosen as the experimental group (n = 79).

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This paper investigates the fixed-time bipartite consensus control problem of stochastic nonlinear multi-agent systems (MASs) with performance constraints. A constraint scaling function is proposed to model the performance constraints with user-predefined steady-state accuracy and settling time without relying on the initial condition. Technically, the local synchronization error of each follower is mapped to a new error variable using the constraint scaling function and an error transformation function before being used to design the controller.

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Article Synopsis
  • * It introduces an adaptive critic learning (ACL) method integrated with a newly designed error scaling function to improve settling time and accuracy in achieving consensus.
  • * The proposed approach simplifies the traditional controller structure and demonstrates effective learning and bounded error performance through simulations, ensuring optimal consensus is reached even under varying initial conditions.
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The discharge of livestock wastewater without appropriate treatment causes severe harm to the environment and human health. In the pursuit of finding solutions to this problem, the cultivation of microalgae as feedstock for biodiesel and animal feed additive using livestock wastewater coupled with the removal of nutrients from wastewater has become a hot research topic. In this study, the cultivation of Spirulina platensis using piggery wastewater for the production of biomass and the removal of nutrients were studied.

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A facultative exoelectrogen, strain Clb-11, was isolated from polluted river water. This strain could generate electricity in microbial fuel cells (MFCs) with carboxymethyl cellulose (CMC) as the carbon source, and the maximum output power density was 12.17 ± 2.

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This study aimed to investigate the teaching effect of the blended BOPPPS based on an online and offline mixed teaching model ("B + BOPPPS") in the course of fermentation engineering in applied universities. The participants were 142 undergraduates majoring from the course of fermentation engineering in Food Science and Engineering in 2019 and 2020 in Huanghuai University, Zhumadian city, Henan province, China. The students in the control group (68 students) were taught in 2019, and the students in the experimental group (74 students) were taught in 2020.

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Article Synopsis
  • The use of chemical fertilizers in farming has led to issues like soil compaction, water pollution, and lower vegetable quality, prompting the search for safer bio-fertilizers.
  • Chlorella extract is packed with essential nutrients and growth-stimulating compounds that can enhance plant growth by speeding up cell division.
  • In a study, the application of Chlorella extract on 'Chao Tian Jiao' pepper seedlings showed significant improvements in height, stem diameter, leaf area, and root development, suggesting it could be a viable alternative to chemical fertilizers.
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This study focused on the optimization of ultrasound-assisted compound enzyme extraction for polysaccharides (RTPs) from by orthogonal experiment and response surface methodology, and then its extraction kinetics model and antihyperlipidemic activities were studied. The optimum extraction process was as follows: cellulase-1.0%, papain-1.

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Assessment of resource partitioning in pollinators at a particular place can be used to conserve plant communities by minimizing their inter-specific competition. Current study was conducted to investigate the occurrence of this phenomenon among plant communities under sub-tropical conditions for the first time in Pakistan. We considered the entire available flowering plant and floral visitor communities in the study area-Lal Suhanra forest of Bahawalpur, Pakistan- along with different variations among them based on morphology, color and symmetry (functional groups) i.

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Camelina sativa L. is an oilseed crop with wide nutritional and industrial applications. Because of favorable agronomic characteristics of C.

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Models that accurately estimate maximum crop biomass to obtain a reliable forecast of yield are useful in crop improvement programs and aiding establishment of government policies, including those addressing issues of food security. Here, we present a new sigmoidal growth model (NSG) and compare its performance with the beta sigmoidal growth model (BSG) for capturing the growth trajectories of eight crop species. Results indicated that both the NSG and the BSG fitted all the growth datasets well (R > 0.

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Introduction: Animals are considered to be reservoirs of extended-spectrum beta-lactamase (ESBL)-producing bacteria, but few epidemiological data on ESBL-producing Escherichia coli urinary tract isolates in pet dogs are available in China.

Methodology: This study was conducted to describe the prevalence and characterization of ESBL producers among E. coli urinary tract isolates from pet dogs in Tai'an, China.

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Food-producing animals carrying extended-spectrum β-lactamase-producing Escherichia coli (ESBL-EC) have posed a potential threat to human and animal health. However, information regarding ESBL-EC in the intensive broiler breeding areas of Shandong Province, People's Republic of China, is very limited. The goal of our study was to investigate the prevalence and drug resistance characteristics of ESBL-EC in healthy broilers from Shandong Province.

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Insect communities depend on both their local environment and features of the surrounding habitats. Diverse plant communities may enhance the abundance and species diversity of local natural enemies, which is possible due to a higher abundance and species diversity in complex landscapes. This hypothesis was tested using cereal aphid parasitoids and hyper-parasitoids by comparing 18 spring wheat fields, Triticum aestivum L.

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