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Magnolol and 5-fluorouracil synergy inhibition of metastasis of cervical cancer cells by targeting PI3K/AKT/mTOR and EMT pathways

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Chinese Herbal Medicines 2024年第1期16卷 94-105页

作者： Yuanyuan Chen Shanshan Chen Kaiting Chen Lanfang ji Shuna cui jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases Medical College of Yangzhou UniversityYangzhou 225009China Department of Gynecology and Obstetrics Affiliated Hospital of Yangzhou UniversityYangzhou 225009China

Objective: This study is designed to investigate the mode of action of the synergistic effect of 5-fluorouracil(5-FU) and magnolol against cervical cancer.Methods: Network pharmacological approach was applied to predict the molecular mechanism of 5-FU combined with magnolol against cervical cancer. CCK-8 assay, colony formation assay, immunofluorescence staining, adhesion assay, wound healing mobility assay, cell migration and invasion assay and Western blot analysis were conducted to validate the results of in silico study.Results: Phosphatidylinositol 3 kinase(PI3K)/protein kinase B(AKT)/mammalian target of rapamycin(mTOR) signaling pathway was identified as the key pathway in silico study. The experimental results showed that 5-FU combined with magnolol strongly inhibited cervical cancer cell proliferation, induced the morphological change of HeLa cells by down-regulating the expression of a-actinin, tensin-2 and vinculin. Moreover, magnolol enhanced inhibitory effect of 5-FU on the cell adhesion, migration and invasion. The phosphorylation of AKT and PI3K and the expression of mTOR were strongly inhibited by the combination of 5-FU and magnolol. Moreover, the expression of E-cadherin and β-catenin was upregulated and the expression of Snail, Slug and vimentin was down-regulated by the 5-FU together with magnolol.Conclusion: Taken together, this study suggests that 5-FU combined with magnolol exerts a synergistic anti-cervical cancer effect by regulating the PI3K/AKT/mTOR and epithelial-mesenchymal transition(EMT) signaling pathways.

关键词： cervical cancer 5-fluorouracil EMT pathway magnolol network pharmacology PI3K/AKT/mTOR pathway

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Investigating effect of coke porosity on blast furnace performance based on multi-physical fields

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Journal of Iron and Steel Research(International) 2024年第2期31卷 357-367页

作者： ji Chen Zhao Lei Zhe Yao Li Wang Qiang Ling Ping cui Anhui Province Key Laboratory of Coal Clean Conversion and High Valued Utilization School of Chemistry and Chemical EngineeringAnhui University of TechnologyMa’anshan243002AnhuiChina Shanxi Academy of Printing Technology Research Institute Co. Ltd.Xi’an710077ShaanxiChina

Reducing coke use is an effective measure to reduce carbon emission and energy consumption in the blast furnace(BF)ironmaking.Essentially,BF is a high-temperature moving bed reactor,where complex physical transformations coupled with complicated reactions occur.This makes it challenging to investigate the factors determining BF performance with the conventional method.A multi-physical field coupling mathematical model of BF was thus developed to describe its mass and heat transfer as well as its intrinsic reactions.Then,the proposed model was validated with the production data.Under coupling conditions,influences of dominating reactions on BF performance(temperature distribution,gas distribution,iron formation reaction,and direct reduction degree)were revealed.The results indicated that coke combustion,indirect reduction,and direct reduction of iron ore mainly took place nearby the shaft tuyere,cohesive zone,and dripping zone,respectively.Besides,the rate of coke solution loss reaction was increased with the rising coke porosity in the cohesive zone.Considering the effect of coke porosity on the efficiency and stability of BF,the coke porosity of 0.42 was regarded as a reasonable value.

关键词： Blast furnace Mathematical model Multi-physical field Simulation Coke porosity

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Network analysis reveals context-dependent structural complexity of social calls in serrate-legged small treefrogs

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Current Zoology 2024年第2期70卷 253-261页

作者： Ke Deng Qiao-Ling He Tong-Liang Wang ji-Chao Wang jian-Guo cui CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of BiologyChinese Academy of SciencesChengdu 610041China University of Chinese Academy of Science Beijing 100049China Ministry of Education Key Laboratory for Ecology of Tropical lslands Key Laboratory of Tropical Animal and Plant Ecology of Hainan ProvinceCollege of Life SciencesHainan Normal UniversityHaikou 571158China

Vocal communication plays an important role in survival,reproduction,and animal social association.Birds and mammals produce com-plex vocal sequence to convey context-dependent information.Vocalizations are conspicuous features of the behavior of most anuran species(frogs and toads),and males usually alter their calling strategies according to ecological context to improve the attractiveness/competitiveness.However,very few studies have focused on the variation of vocal sequence in anurans.In the present study,we used both conventional method and network analysis to investigate the context-dependent vocal repertoire,vocal sequence,and call network structure in serrate-legged small treefrogs Kurixalus odontotarsus.We found that male K.odontotarsus modified their vocal sequence by switching to different call types and increasing repertoire size in the presence of a competitive rival.Specifically,compared with before and after the playback of advertisement calls,males emited fewer advertisement calls,but more aggressive calls,encounter calls,and compound calls during the playback period.Network analysis revealed that the mean degree,mean closeness,and mean betweenness of the call networks significantly decreased during the playback period,which resulted in lower connectivity.in addition,the increased proportion of one-way motifs and average path length also indicated that the connectivity of the call network decreased in competitive context.However,the vocal sequence of K.odontotarsus did not display a clear small-world network structure,regardless of context.Our study presents a paradigm to apply network analysis to vocal sequence in anurans and has important implications for understanding the evolution and function of sequence patterns.

关键词： call network centrality Kurixalus odontotarsus vocal repertoire vocal sequence.

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Numerical Algorithm with Fourth-Order Spatial Accuracy for Solving the Time-Fractional Dual-Phase-Lagging Nanoscale Heat Conduction Equation

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Numerical Mathematics(Theory,Methods and Applications) 2023年第2期16卷 511-540页

作者： cui-cui ji Weizhong Dai School of Mathematics and Statistics Qingdao UniversityQingdao 266071China Mathematics and Statistics Louisiana Tech UniversityRustonLA 71272USA

Nanoscale heat transfer cannot be described by the classical Fourier law due to the very small dimension,and therefore,analyzing heat transfer in nanoscale is of crucial importance for the design and operation of nano-devices and the optimization of thermal processing of nano-materials.Recently,time-fractional dualphase-lagging(DPL)equations with temperature jump boundary conditions have showed promising for analyzing the heat conduction in nanoscale.This article proposes a numerical algorithm with high spatial accuracy for solving the timefractional dual-phase-lagging nano-heat conduction equation with temperature jump boundary conditions.To this end,we first develop a fourth-order accurate and unconditionally stable compact finite difference scheme for solving this time-fractional DPL model.We then present a fast numerical solver based on the divide-and-conquer strategy for the obtained finite difference scheme in order to reduce the huge computational work and storage.Finally,the algorithm is tested by two examples to verify the accuracy of the scheme and computational speed.And we apply the numerical algorithm for predicting the temperature rise in a nano-scale silicon thin film.Numerical results confirm that the present difference scheme provides min{2−α,2−β}order accuracy in time and fourth-order accuracy in space,which coincides with the theoretical analysis.Results indicate that the mentioned time-fractional DPL model could be a tool for investigating the thermal analysis in a simple nanoscale semiconductor silicon device by choosing the suitable fractional order of Caputo derivative and the parameters in the model.

关键词： Nanoscale heat transfer fractional dual-phase-lagging model finite difference scheme stability convergence

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Effects of Xiaoyao San on exercise capacity and liver mitochondrial metabolomics in rat depression model

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Chinese Herbal Medicines 2024年第1期16卷 132-142页

作者： Weidi Zhao cui ji jie Zheng Shi Zhou Junsheng Tian Yumei Han Xuemei Qin School of Physical Education Shanxi UniversityTaiyuan 030006China Institute of Biomedicine and Health Shanxi UniversityTaiyuan 030006China Physical Activity Sport and Exercise Research ThemeFaculty of HealthSouthern Cross UniversityLismore NSW2480Australia Modern Research Center for Traditional Chinese Medicine Shanxi UniversityTaiyuan 030006China School of Health Yantai Nanshan UniversityYantai 265706China

Objective: This study aimed to investigate the therapeutic effects of Xiaoyao San(XYS), a herbal medicine formula, on exercise capacity and liver mitochondrial metabolomics in a rat model of depression induced by chronic unpredictable mild stress(CUMS).Methods: A total of 24 male SD rats were randomly divided into four groups: control group(C), CUMS control group(M), Venlafaxine positive treatment group(V), and XYS treatment group(X). Depressive behaviour and exercise capacity of rats were assessed by body weight, sugar-water preference test, open field test, pole test, and rotarod test. The liver mitochondria metabolomics were analyzed by using liquid chromatography-mass spectrometry(LC-MS) method. TCMSP database and Gene Cards database were used to screen XYS for potential targets for depression, and GO and KEGG enrichment analyses were performed.Results: Compared with C group, rats in M group showed significantly lower body weight, sugar water preference rate, number of crossing and rearing in the open field test, climbing down time in the pole test,and retention time on the rotarod test(P < 0.01). The above behaviors and exercise capacity indices were significantly modulated in rats in V and X groups compared with M group(P < 0.05, 0.01). Compared with C group, a total of 18 different metabolites were changed in the liver mitochondria of rats in M group.Nine different metabolites and six metabolic pathways were regulated in the liver mitochondria of rats in X group compared with M group. The results of network pharmacology showed that 88 intersecting targets for depression and XYS were obtained, among which 15 key targets such as IL-1β, IL-6, and TNF were predicted to be the main differential targets for the treatment of depression. Additionally, a total of 1 553 GO signaling pathways and 181 KEGG signaling pathways were identified, and the main biological pathways were AGE-RAGE signaling pathway, HIF-1 signaling pathway, and calcium signaling pathway.Conclusion: XYS treatment could improve depressive symptom

关键词： depression exercise capacity liver mitochondrial metabolomics Xiaoyao San

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Ketogenic diet therapy in children with epilepsy caused by SLC2A1 mutations:a single-center single-arm retrospective study

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World Journal of Pediatrics 2024年第5期20卷 517-524页

作者： Ying-Yan Wang Yun-Qing Zhou Li-Juan Luo cui-jin Wang Nan Shen Hao Li ji-Wen Wang Department of Neurology Shanghai Children’s Medical CenterSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Infectious Diseases Shanghai Children’s Medical CenterSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Clinical Research Ward Clinical Research CenterShanghai Children’s Medical CenterSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina

Background This retrospective study assessed the efficacy and safety of ketogenic diet therapies in children with epilepsy caused by SLC2A1 genetic mutations and glucose transporter type 1 deficiency syndrome.Methods Pediatric patients with epilepsy symptoms admitted to our medical center between January 2017 and October 2021 were included if they presented with an SLC2A1 genetic mutation on whole-exome sequencing.We analyzed the patients’convulsions and treatment with antiepileptic drugs.The patients were followed up at different time periods after ketogenic diet therapies.Results Six patients with SLC2A1 mutations were included in this study.The patients had seizures of different types and frequencies,and they took antiepileptic drugs to relieve their symptoms.They were then treated with a ketogenic diet for at least four months.We analyzed epilepsy control rates at 1,2,3,6,and 12 months after ketogenic diet treatment.All patients were seizure-free within a month of receiving the diet therapy.All patients were followed up for six months,three were followed up for 12 months after the treatment,and there was no recurrence of epilepsy during this period.After antiepileptic drug withdrawal,none of the patients experienced seizure relapse when receiving ketogenic diet treatment alone.No severe adverse events occurred during the therapy.Conclusions Ketogenic diet therapy is very effective and safe for the treatment of epilepsy caused by SLC2A1 mutations.Therefore,patients with glucose transporter type 1 deficiency syndrome caused by SLC2A1 mutations should begin ketogenic diet treatment as soon as possible.

关键词： Epilepsy Glucose transporter type 1 Ketogenic diet SLC2A1

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Mechanism of high Li-ion conductivity in poly(vinylene carbonate)-poly(ethylene oxide)cross-linked network based electrolyte revealed by solid-state NMR

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Journal of Energy Chemistry 2024年第6期93卷 377-383,I0010页

作者： Fan Li Tiantian Dong Yi ji Lixin Liang Kuizhi Chen Huanrui Zhang Guanglei cui Guangjin Hou State Key Laboratory of Catalysis Dalian National Laboratory for Clean EnergyCollaborative Innovation Center of Chemistry for Energy MaterialsDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina University of Chinese Academy of Sciences Beijing 100049China Qingdao Industrial Energy Storage Research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101ShandongChina

Solid polymer electrolytes(SPEs)have become increasingly important in advanced lithium-ion batteries(LIBs)due to their improved safety and mechanical properties compared to organic liquid electrolytes.Cross-linked polymers have the potential to further improve the mechanical property without trading off Li-ion conductivity.In this study,focusing on a recently developed cross-linked SPE,i.e.,the one based on poly(vinylene carbonate)-poly(ethylene oxide)cross-linked network(PVCN),we used solid-state nuclear magnetic resonance(NMR)techniques to investigate the fundamental interaction between the chain segments and Li ions,as well as the lithium-ion motion.By utilizing homonuclear/heteronuclear correlation,CP(cross-polarization)kinetics,and spin-lattice relaxation experiments,etc.,we revealed the structural characteristics and their relations to lithium-ion mobilities.It is found that the network formation prevents poly(ethylene oxide)chains from crystallization,which could create sufficient space for segmental tumbling and Li-ion co nductio n.As such,the mechanical property is greatly improved with even higher Li-ion mobilities compared to the poly(vinylene carbonate)or poly(ethylene oxide)based SPE analogues.

关键词： ssNMR Lithium-ion mobility Cross-link Solid polymer electrolyte

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Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization

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Energy Engineering 2024年第3期121卷 807-820页

作者： Zaihe Yang Shuling Wang Runhang Zhu jiao cui ji Su Liling Chen Electrical Dispatching and Control Center Yunnan Power GridKunming650011China Kunming Power Supply Bureau Yunnan Power Grid Co.Ltd.Kunming650011China Yuxi Power Supply Bureau Yunnan Power Grid Co.Ltd.Yuxi653100China

To address the scheduling problem involving energy storage systems and uncertain energy,we propose a method based on multi-stage robust optimization.This approach aims to regulate the energy storage system by using a multi-stage robust optimal control method,which helps overcome the limitations of traditional methods in terms of time scale.The goal is to effectively utilize the energy storage power station system to address issues caused by unpredictable variations in environmental energy and fluctuating load throughout the day.To achieve this,a mathematical model is constructed to represent uncertain energy sources such as photovoltaic and wind power.The generalized Benders Decomposition method is then employed to solve the multi-stage objective optimization problem.By decomposing the problem into a series of sub-objectives,the system scale is effectively reduced,and the algorithm’s convergence ability is improved.Compared with other algorithms,the multi-stage robust optimization model has better economy and convergence ability and can be used to guide the power dispatching of uncertain energy and energy storage systems.

关键词： Multi-stage robust optimization energy storage system regulation methods output uncertainty

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The BTB/TAZ domain-containing protein CmBT1-mediated CmANR1 ubiquitination negatively regulates root development in chrysanthemum

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Journal of Integrative Plant Biology 2024年第2期66卷 285-299页

作者： Lian-Da Du Zhang-ji Guan Yan-Hong Liu Hui-Dong Zhu Quan Sun Da-Gang Hu cui-Hui Sun Shandong Collaborative Innovation Center of Fruit&Vegetable Quality and Efficient Production College of Horticulture Science and EngineeringShandong Agricultural UniversityTaian 271018China

Roots are fundamental for plants to adapt to variable environmental conditions.The development of a robust root system is orchestrated by numerous genetic determinants and,among them,the MADS-box gene ANR1 has garnered substantial attention.Prior research has demonstrated that,in chrysanthemum,CmANR1positively regulates root system development.Nevertheless,the upstream regulators involved in the CmANR1-mediated regulation of root development remain unidentified.In this study,we successfully identified bric-a-brac,tramtrack and broad(BTB)and transcription adapter putative zinc finger(TAZ)domain protein CmBT1 as the interacting partner of CmANR1 through a yeasttwo-hybrid(Y2H)screening library.Furthermore,we validated this physical interaction through bimolecular fluorescence complementation and pull-down assays.Functional assays revealed that CmBT1 exerted a negative influence on root development in chrysanthemum.In both in vitro and in vivo assays,it was evident that CmBT1mediated the ubiquitination of CmANR1 through the ubiquitin/26S proteasome pathway.This ubiquitination subsequently led to the degradation of the CmANR1 protein and a reduction in the transcription of CmANR1-targeted gene CmPIN2,which was crucial for root development in chrysanthemum.Genetic analysis suggested that CmBT1 modulated root development,at least in part,by regulating the level of CmANR1 protein.Collectively,these findings shed new light on the regulatory role of CmBT1 in degrading CmANR1 through ubiquitination,thereby repressing the expression of its targeted gene and inhibiting root development in chrysanthemum.

关键词： chrysanthemum MADS-box transcription factor root development

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Intelligent diagnosis of retinal vein occlusion based on color fundus photographs

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 1-6页

作者： Yu-Ke ji Rong-Rong Hua Sha Liu cui-Juan Xie Shao-Chong Zhang Wei-Hua Yang Eye Hospital Nanjing Medical UniversityNanjing 210000Jiangsu ProvinceChina College of Electronic Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000Jiangsu ProvinceChina Shenzhen Eye Institute Shenzhen Eye HospitalJinan UniversityShenzhen 518000Guangdong ProvinceChina

AIM:To develop an artificial intelligence(AI)diagnosis model based on deep learning(DL)algorithm to diagnose different types of retinal vein occlusion(RVO)by recognizing color fundus photographs(CFPs).METHODS:Totally 914 CFPs of healthy people and patients with RVO were collected as experimental data sets,and used to train,verify and test the diagnostic model of RVO.All the images were divided into four categories[normal,central retinal vein occlusion(CRVO),branch retinal vein occlusion(BRVO),and macular retinal vein occlusion(MRVO)]by three fundus disease experts.Swin Transformer was used to build the RVO diagnosis model,and different types of RVO diagnosis experiments were conducted.The model’s performance was compared to that of the experts.RESULTS:The accuracy of the model in the diagnosis of normal,CRVO,BRVO,and MRVO reached 1.000,0.978,0.957,and 0.978;the specificity reached 1.000,0.986,0.982,and 0.976;the sensitivity reached 1.000,0.955,0.917,and 1.000;the F1-Sore reached 1.000,0.9550.943,and 0.887 respectively.In addition,the area under curve of normal,CRVO,BRVO,and MRVO diagnosed by the diagnostic model were 1.000,0.900,0.959 and 0.970,respectively.The diagnostic results were highly consistent with those of fundus disease experts,and the diagnostic performance was superior.CONCLUSION:The diagnostic model developed in this study can well diagnose different types of RVO,effectively relieve the work pressure of clinicians,and provide help for the follow-up clinical diagnosis and treatment of RVO patients.

关键词： deep learning artificial intelligence Swin Transformer diagnostic model retinal vein occlusion color fundus photographs

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