Publications by authors named "Minghe Sun"

Chinese hamster with Chinese characteristics is used in experiments, and it is of great value in the field of medical biology research. However, at present, there is no high-efficiency method for evaluating the genetic quality of Chinese hamsters. Here, we developed a novel Chinese hamster genetic quality detection system using single-nucleotide polymorphism (SNP) markers.

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This study examines the pricing policies and the dual-channel strategies in a two-tier supply chain where a manufacturer distributes products through a retailer and considers the opening of a traditional direct online channel or a live-streaming sales channel The manufacturer has three sales modes, i.e., traditional retail channel only, opening a traditional direct online channel and opening a live-streaming direct sales channel, to consider.

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17β-Trenbolone (17-TB) is well documented as an environmental endocrine disruptor in aquatic biological studies, but its effects on mammals remain poorly understood. Furthermore, 17-TB acts as a hormone with properties similar to testosterone, and the consequences of juvenile exposure on adult social behavior remain uncertain. Bisphenol A (BPA) acts as an estrogen-like hormone, compared to 17-TB.

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The Mongolian gerbil is a distinctive experimental animal in China, as its genetic qualities possess significant value in the field of medical biology research. Here, we aimed to establish an economical and efficient panel for genetic quality detection in Mongolian gerbils using single-nucleotide polymorphism (SNP) markers. To search for SNPs, we conducted whole-genome sequencing (WGS) in 40 Mongolian gerbils from outbred populations.

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The emergence of taxi sharing enhances urban transport efficiency and reduces carbon emissions. Using GPS tracking data from taxis in Chengdu, China, this study first outlines conditions for identifying shareable taxi orders based on their origins and destinations. We then develop a three-phase computational model to optimize matches among all potential shareable orders, calculating the shareable mileage and the proportion of original mileage that could be shared.

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Article Synopsis
  • The study introduces hypergraph-based numerical spiking neural membrane (HNSNM) systems, which expand traditional neural network models by utilizing hypergraphs to capture complex relationships and non-linear interactions among neurons.
  • HNSNM systems mimic biological processes like synapse creation and pruning, implementing plasticity rules for improved communication across neurons, enabling hierarchical and spatial interactions.
  • The research demonstrates that HNSNM systems achieve Turing universality, illustrating their computational power by constructing a system of 41 neurons capable of solving NP-complete problems, specifically through applications like the subset sum problem.
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The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems). The NSN P systems were applied to the SAT problem and the FRNSN P systems were applied to induction motor fault diagnosis. The FRNSN P system can easily model fuzzy production rules for motor faults and perform fuzzy reasoning.

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Evolution-communication spiking neural P systems with energy request rules (ECSNP-ER systems) are proposed and developed as a new variant of evolution-communication spiking neural P systems. In ECSNP-ER systems, in addition to spike-evolution rules and spike-communication rules, neurons also have energy request rules. Energy request rules are used to obtain energy from the environment needed for spike evolution and communication in neurons.

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Rh/silane-cocatalyzed regio- and enantioselctive allylic cyanomethylation with inert acetonitrile directly has been developed. Addition of a catalytic amount neutral silane reagent as an acetonitrile anion carrier is essential for the success of this reaction. The synthesis of mono- and bis-allylation products can be switched by adjusting the size of substituents on the silane, ligands, and temperature.

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Background: We aimed to investigate the clinical effect of low molecular weight heparin (LMWH) combined with magnesium sulfate in patients with severe pre-eclampsia (PE).

Methods: A total of 70 patients with severe PE admitted in Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, China from Jun 2020 to May 2021 were enrolled and randomized into observation and control groups. The control group was treated with magnesium sulfate only, and the observation group was treated with small-dose LMWH combined with magnesium sulfate.

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Cleaner production and pollution prevention are not only essential for enterprises to improve resource utilization efficiency and competitiveness, but also realistic requirements for enterprises to comply with green manufacturing policies and regulations. Many previous studies have investigated the impacts of environmental innovation on products and environmental performance, but few of them have explored the impact of environmental innovation on customer relationships. The main purpose of this study is to investigate the basic strategies to enhance customer relationship in the context of green development.

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Gestational diabetes mellitus (GDM) is a common disease in pregnant women, imposing risks on both mother and fetus. Dysregulated nesfatin-1 has been observed in women with GDM, but the specific role of nesfatin-1 underlying the pathological process of GDM is unclear. The main objective of this study is to investigate the role and the molecular mechanism of nesfatin-1 in GDM.

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A Co-catalyzed enantioselective desymmetric [2+2+2] cycloaddition for synthesis of pyridines with all-carbon quaternary carbon centers has been developed. The regio- and enantioselectivities are controlled by the inherent nature of terminal alkynes and the substituents on the bisoxazolinephosphine ligands. Pyridines with 5-substitutents could be obtained with >20:1 regioselectivity and up to 94 % ee when terminal alkyl, alkenyl or silyl alkynes and DTBM/Ph-based NPN* ligand L6 were used.

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Alkynylphosphines are rarely used as ligands in asymmetric metal catalysis. We synthesized a series of chiral bis(oxazoline)alkynylphosphine ligands and used them in Rh-catalyzed highly regio- and enantioselective allylic amination reactions of 1,2-disubstituted allylic phosphates. Chiral 1,2-disubstituted allylic amines were synthesized in up to 95% yield with >20:1 branched/linear (b/l) ratio and 99% from racemic 1,2-disubstituted allylic precursors.

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The control of C3/N1 chemoselectivity in indole alkylation with the same electrophiles is still challenging. An Rh/bisoxazolinephosphane-catalyzed chemodivergent regio- and enantioselective allylic alkylation of indoles was developed. Chiral C3- and N1-allylindoles can be selectively obtained with high branched/linear ratio and up to 99 % ee by changing the counteranion of Rh, the allylic carbonate, the reaction temperature, and the ligand.

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A DNA (DeoxyriboNucleic Acid) algorithm is proposed to solve the job shop scheduling problem. An encoding scheme for the problem is developed and DNA computing operations are proposed for the algorithm. After an initial solution is constructed, all possible solutions are generated.

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Weighted spiking neural P systems with anti-spikes (AWSN P systems) are proposed by adding anti-spikes to spiking neural P systems with weighted synapses. Anti-spikes behave like spikes of inhibition of communication between neurons. Both spikes and anti-spikes are used in the rule expressions.

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This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN is used to identify the types of tomato diseases and Mask R-CNN is used to detect and segment the locations and shapes of the infected areas. To select the model that best fits the tomato disease detection task, four different deep convolutional neural networks are combined with the two object detection models.

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Because both pollution emissions and production policies often are international in scope, it is necessary to find optimal coordination strategies for international production planning and pollution abating. Differential game models are developed for multiple neighboring countries to reach optimal decisions on their production planning and pollution abating under cap-and-trade regulations. Non-cooperative and cooperative differential games are presented to depict the optimal tradeoffs between production planning and pollution abating.

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A highly enantioselective cobalt-catalyzed reverse prenylation of β-ketoester with tertiary allylic carbonate to construct vicinal all-carbon quaternary carbon centers has been developed. By using the cobalt/( S, S)Ph-BPE complex generated in situ with zinc reduction, excellent branched to linear selectivity (>20:1) and up to 92% ee have been obtained.

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Motivation: Extracting useful information from expression levels of thousands of genes generated with microarray technology needs a variety of analytical techniques. Mathematical programming approaches for classification analysis outperform parametric methods when the data depart from assumptions underlying these methods. Therefore, a mathematical programming approach is developed for gene selection and tissue classification using gene expression profiles.

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Membership in a particular strategic group, where a strategic group can be defined as groups of firms in an industry following similar competitive approaches and having similar market positions, defines the essentials of a firm's strategy. This study longitudinally examines the relationship between strategic group membership and performance in the hospital industry.

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