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Clinical observation of gastrointestinal function recovery in patients after hepatobiliary surgery

World Journal of Gastrointestinal Surgery 2024年第1期16卷 76-84页

作者： Hua-Jun Zeng jing-jing liu Ying-Chun Yang Department of General Practice Nanyang First People's HospitalNanyang 473000Henan ProvinceChina Department of Anesthesiology Chinese People’s Armed Police Force Hospital of BeijingBeijing 100027China Department of Anesthesiology Beijing Fengtai HospitalBeijing 100071China

BACKGROUND The liver is an important metabolic and digestive organ in the human body,ca-pable of producing bile,clotting factors,and vitamins.AIM To investigate the recovery of gastrointestinal function in patients after hepato-biliary surgery and identify effective rehabilitation measures.METHODS A total of 200 patients who underwent hepatobiliary surgery in our hospital in 2022 were selected as the study subjects.They were divided into a control group and a study group based on the extent of the surgery,with 100 patients in each group.The control group received routine treatment,while the study group re-ceived targeted interventions,including early enteral nutrition support,drinking water before gas discharge,and large bowel enema,to promote postoperative gastrointestinal function recovery.The recovery of gastrointestinal function was compared between the two groups.RESULTS Compared with the control group,patients in the study group had better recovery of bowel sounds and less accumulation of fluids in the liver bed and gallbladder fossa(P<0.05).They also had shorter time to gas discharge and first meal(P<0.05),higher overall effective rate of gastrointestinal function recovery(P<0.05),and lower incidence of postoperative complications(P<0.05).CONCLUSION Targeted nursing interventions(early nutritional support,drinking water before gas discharge,and enema)can effectively promote gastrointestinal function recovery in patients undergoing hepatobiliary surgery and reduce the incidence of complications,which is worthy of promotion.

关键词： Liver and gallbladder patients Gastrointestinal function Postoperative recovery

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The Infiuence of Velocity-dependent Correction Factor on Proton Decay Reactions in Massive White Dwarfs

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Research in Astronomy and Astrophysics 2024年第3期24卷 169-179页

作者： jing-jing liu Dong-Mei liu College of Science Hainan Tropical Ocean UniversitySanya 572022China

Twenty-five typical massive white dwarfs(WDs)are selected and the proton decay reaction catalyzed by magnetic monopoles(MMs)for these WDs is discussed.A velocity-dependent correction factor strongly affects the cross-section.We find that a strong suppression controls the monopole catalysis of nucleon decay by the correction factor.The maximum number of MMs is captured and the luminosity can be 2.235×10^(21)and 1.7859×10^(32)erg s^(-1)(e.g.,for the O+Ne core mass WD J055631.17+130639.78).The luminosities of most massive WDs agree well with the observations at relatively low temperatures(e.g.,T_(6)=0.1),but can be three and two orders of magnitude higher than those of the observations for model(Ⅰ)and(Ⅱ)at relatively high temperatures(e.g.,T_(6)=10),respectively.The luminosities of model(Ⅰ)are about one order of magnitude higher than those of model(Ⅱ).Since we consider the effect of the number of MMs captured on the mass–radius relation and the suppression of the proton decay by the correction factor,the study by model(Ⅱ)may be an improved estimation.

关键词： astroparticle physics-nuclear reactions-nucleosynthesis-abundances-(stars) white dwarfs

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Selective photosynthesis of Z-olefins through crystalline metal-organic cage-initiated expeditious cascade reactions

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Carbon Energy 2024年第3期6卷 118-131页

作者： Jia-Ni Lu Yunze Huang Yuan-Sheng Xia Long-Zhang Dong Lei Zhang jing-jing liu Lan-Gui Xie Jiang liu Ya-Qian Lan Jiangsu Key Laboratory of New Power Batteries School of Chemistry and Materials ScienceJiangsu Collaborative Innovation Centre of Biomedical Functional MaterialsNanjing Normal UniversityNanjingChina School of Chemistry South China Normal UniversityGuangzhouChina

The semi-hydrogenation of alkyne to form Z-olefins with high conversion and high selectivity is still a huge challenge in the chemical industry.Moreover,flammable and explosive hydrogen as the common hydrogen source of this reaction increases the cost and danger of industrial production.Herein,we connect the photocatalytic hydrogen evolution reaction and the semihydrogenation reaction of alkynes in series and successfully realize the high selective production of Z-alkenes using low-cost,safe,and green water as the proton source.Before the cascade reaction,a series of isomorphic metal–organic cage catalysts(Co_(x)Zn_(8−x)L_(6),x=0,3,4,5,and 8)are designed and synthesized to improve the yield of the photocatalytic hydrogen production.Among them,Co_(5)Zn_(3)L_(6) shows the highest photocatalytic activity,with a H_(2) generation rate of 8.81 mmol g^(−1) h^(−1).Then,Co_(5)Zn_(3)L_(6) is further applied in the above tandem reaction to efficiently reduce alkynes to Z-alkenes under ambient conditions,which can reach high conversion of>98%and high selectivity of>99%,and maintain original catalytic activity after multiple cycles.This“one-pot”tandem reaction can achieve a highly selective and safe stepwise conversion from water into hydrogen into Z-olefins under mild reaction conditions.

关键词： alkyne semi-hydrogenation hydrogen evolution reaction metal-organic cages photocatalysis Z-olefins

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Integrating deep learning and logging data analytics for lithofacies classification and 3D modeling of tight sandstone reservoirs

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Geoscience Frontiers 2022年第1期13卷 350-363页

作者： jing-jing liu Jian-Chao liu School of Earth Science and Resources Chang’an UniversityXi’an 710064China

The lithofacies classification is essential for oil and gas reservoir exploration and development.The traditional method of lithofacies classification is based on"core calibration logging"and the experience of geologists.This approach has strong subjectivity,low efficiency,and high uncertainty.This uncertainty may be one of the key factors affecting the results of 3 D modeling of tight sandstone reservoirs.In recent years,deep learning,which is a cutting-edge artificial intelligence technology,has attracted attention from various fields.However,the study of deep-learning techniques in the field of lithofacies classification has not been sufficient.Therefore,this paper proposes a novel hybrid deep-learning model based on the efficient data feature-extraction ability of convolutional neural networks(CNN)and the excellent ability to describe time-dependent features of long short-term memory networks(LSTM)to conduct lithological facies-classification experiments.The results of a series of experiments show that the hybrid CNN-LSTM model had an average accuracy of 87.3%and the best classification effect compared to the CNN,LSTM or the three commonly used machine learning models(Support vector machine,random forest,and gradient boosting decision tree).In addition,the borderline synthetic minority oversampling technique(BSMOTE)is introduced to address the class-imbalance issue of raw data.The results show that processed data balance can significantly improve the accuracy of lithofacies classification.Beside that,based on the fine lithofacies constraints,the sequential indicator simulation method is used to establish a three-dimensional lithofacies model,which completes the fine description of the spatial distribution of tight sandstone reservoirs in the study area.According to this comprehensive analysis,the proposed CNN-LSTM model,which eliminates class imbalance,can be effectively applied to lithofacies classification,and is expected to improve the reality of the geological model for the tight sandstone reservoirs.

关键词： Deep learning Convolutional neural networks LSTM Lithological-facies classification 3D modeling Class imbalance

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Mass Spectrometry-Based Targeted Metabolomics Revealed the Regulatory Roles of Magnesium on Biofilm Formation in Escherichia coli by Targeting Functional Metabolites

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Journal of Analysis and Testing 2022年第2期6卷 89-97页

作者： Tian-Yu Wang Rui Guo Long-Long Hu jing-jing liu Hai-Tao Lu Key Laboratory of Systems Biomedicine(Ministry of Education) Shanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai 200240China Laboratory for Functional Metabolomics Science Shanghai Jiao Tong UniversityShanghai 200240China

Biofi lms often impose harmful infl uences in many niches involving food contamination,antibiotics resistance,and environmental issues.However,eradicating biofi lms remains diffi cultly because the formation mechanism of biofi lms is still incompletely clarifi ed.Here,we attempted to explore the regulatory role of magnesium(Mg^(2+))on biofi lm formation in Escherichia coli(E.coli)using phenotype visualization with targeted metabolomics method.We found that Mg^(2+)could exert signifi cant infl uence on biofi lm formation with a concentration dependency by regulating phenotypic morphology and triggering metabolic modifi cations of biofi lm.Phenotypic imaging revealed that increasing concentration of Mg^(2+)gradually inhibited biofi lm formation,Mg^(2+)was observed to restore the microstructure of E.coli strain in biofi lms to that in the relevant planktonic cells.In addition,our metabolomics analysis characterized 20 diff erential metabolites and associated two metabolic pathways including nucleotide metabolism and amino acid metabolism that were notably modifi ed during biofi lm formation under the treatments of varied Mg^(2+).Altogether,our work provides a novel insight into the infl uence of Mg^(2+)on biofi lm formation at a metabolic level,which is implicated in the novel solution to disturb biofi lm formation through the regulation of Mg^(2+)and functional metabolite interaction.

关键词： Biofilms Magnesium Precision-targeted metabolomics Metabolic modifications Escherichia coli

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Uncovering the synergistic photocatalytic behavior of bimetallic molecular catalysts

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Chinese Chemical Letters 2023年第1期34卷 487-492页

作者： Lin Yuan Lei Zhang Xiao-Xin Li Jiang liu jing-jing liu Long-Zhang Dong Dong-Sheng Li Shun-Li Li Ya-Qian Lan Jiangsu Collaborative Innovation Centre of Biomedical Functional Materials Jiangsu Key Laboratory of New Power BatteriesCollege of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023China School of Chemistry South China Normal UniversityGuangzhou 510006China School of Chemistry and Chemical Engineering Southeast UniversityNanjing 211189China Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials China Three Gorges UniversityYichang 443002China

Bimetallic catalysts usually exhibit better performance than monometallic catalysts due to synergistic effect.However,there is a lack of exploring the synergistic effect on catalytic performance caused by the introduction of inactive metal ion.In this work,we design a molecular model system that can precisely regulate the metal site number and catalytic property.When these molecular metal compounds are used as homogeneous catalysts for photocatalytic CO_(2)reduction,the dinuclear heterometallic CuNi-L2shows the highest CO_(2)-to-CO conversion,which is 2.1 and 3.0 times higher than that of dinuclear homometallic Ni2-L2and mononuclear Ni-L1.Density functional theory calculations demonstrate that,in CuNi-L2,the introduction of inactive CuⅡis easier to promote the photo-generated electrons transferring to the coupled active NiⅡsite to achieve the highest activity.In addition,this work also provides insights to design and construct more efficient bimetallic catalysts in future.

关键词： Dinuclear metal compounds Crystalline photocatalyst Synergistic effect Photocatalytic CO_(2)RR Artificial photosynthesis

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Neutrino energy spectrum and electron capture of Nuclides^(56))Fe,^(56)Co,^(56)Ni,^(56)Mn,^(56)Cr and^(56)V in stellar interiors

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Research in Astronomy and Astrophysics 2014年第8期14卷 971-978页

作者： jing-jing liu College of Science and Technology Qiongzhou University

Based on the shell-model Monte Carlo method and random phase approximation theory, the neutrino energy spectrum （NES） and the electron capture （EC） of ^56Fe, ^56Co, ^56Ni, ^56Mn, ^56Cr and ^56V are investigated in presupemova surroundings. The results show that the EC rates are affected greatly at different densities and temperatures. The rates increase greatly and even exceed six orders of magnitude at lower temperature. On the other hand, the NES is very sensitive to stellar temperature and electron energy. The higher the temperature and the lower the electron energy, the larger the influence on NES is. For example, the maxima of NES in the ground state are 9.02, 160, 80, 24.01, 0.44, 1.42 me c^2 for ^56Fe, ^56Co, ^56Ni, ^56Mn, ^56Cr and ^56V respectively at ρ7 = 10.7, Ye = 0.45 and T9 = 15. Furthermore, the influence on NES due to EC for different nuclei has some otherness because of different Qo-values. For example, the spectrum of ^56Co shows a double bump structure.

关键词： physical data and processes neutrinos, nuclear reactions -- stars super- novae -- stars evolution

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A new study of neutrino energy loss of nuclides ^(53-60)Cr by electron capture in magnetars

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Research in Astronomy and Astrophysics 2013年第8期13卷 945-951页

作者： jing-jing liu College of Sciences and Technology Qiongzhou University

Following the theory of relativity, in the presence of an ultrastrong magnetic field （UMF） and utilizing a nuclear shell model, we carry out an estimation of the neutrino energy loss （NEL） rates of nuclides ^53-60Cr, which occur by electron capture in magnetars. The results show that the NEL rates greatly increase when a UMF is present, and can even exceed nine orders of magnitude at relatively lower density and temperature （e.g. ρ7 = 5.86, Ye = 0.47, T9 = 7.33） in the range from 1013 G to 1018 G. However, the increase in rates was no more than six orders of magnitude at relatively higher density and temperature （e.g.ρ7 = 4.86 × 10^8, Ye = 0.39, T9 = 14.35）.

关键词： physical data and processes： neutrinos nuclear reactions - stars： super- novae - stars： evolution

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Iron group nuclei electron capture in super-Chandrasekhar superstrong magnetic white dwarfs

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Research in Astronomy and Astrophysics 2021年第11期21卷 153-164页

作者： jing-jing liu Dong-Mei liu College of Science Hainan Tropical Ocean UniversitySanya 572022China

Using the theory of relativistic mean-field effective interactions,the influences of superstrong magnetic fields(SMFs)on electron Fermi energy,binding energy per nucleus and single-particle level structure are discussed in super-Chandrasekhar magnetic white dwarfs.Based on the relativistical SMFs theory model of Potekhin et al.,the electron chemical potential is corrected in SMFs,and the electron capture(EC)of iron group nuclei is investigated by using the Shell-Model Monte Carlo method and Random Phase Approximation theory.The EC rates can increase by more than three orders of magnitude due to the increase of the electron Fermi energy and the change of single-particle level structure by SMFs.However,the EC rates can decrease by more than four orders of magnitude due to increase of the nuclei binding energy by SMFs.We compare our results with those of FFNs(Fuller et al.),AUFDs(Aufderheide et al.)and Nabi(Nabi et al.).Our rates are higher by about four orders of magnitude than those of FFN,AUFD and Nabi due to SMFs.Our study may have important reference value for subsequent studies of the instability,mass radius relationship,and thermal and magnetic evolution of super-Chandrasekhar magnetic white dwarfs.

关键词： nuclear reactions,nucleosynthesis,abundances stars:white dwarfs

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The neutrino energy loss by electron capture of nuclides ^(55)Co and ^(56)Ni in explosive stellar environments

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Research in Astronomy and Astrophysics 2013年第1期13卷 99-103页

作者： jing-jing liu College of Science and Technology Qiongzhou University

Using the Shell-Model Monte Carlo method and the Random Phase Approximation theory, we carry out an estimation of neutrino energy loss （NEL） for 55Co and 56Ni by electron capture. We find that the NEL rates increase greatly at some typical stellar conditions, and can even exceed five orders of magnitude （e.g. T9 = 38.5, Ye = 0.42 for 56Ni）. On the other hand, the error factor C shows that the fit is fairly good for two results at higher density and lower temperature, and the max- imum error is - 1.2%. However, the maximum error is ,- 55.60% （e.g. T9 = 18.5, Ye = 0.45） at lower density and higher temperature.

关键词： physical data and processes： neutrinos nuclear reactions -- stars： super-novae -- stars： evolution

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