检索结果-南通市图书馆

Food Science and Human Wellness 2024年

作者： Rui Guo Xiao Xiao Chuanchuan Wang Tian Yuan Qianhui Zou Tian Zhang Jiarui Liang Ying He zhuo liu Xuebo liu Shan Wu Zhigang liu Northwest A&F University Shenzhen Research Institute Shaanxi Precision Nutrition and Health Research Institute Research and Development Center Xi'an Yinqiao Dairy (Group) Co. Ltd Laboratory of Functional Chemistry and Nutrition of Food College of Food Science and Engineering Northwest A&F University Shaanxi Key Laboratory of Natural Products & Chemical Biology College of Chemistry & Pharmacy Northwest A&F University

ASD (autism spectrum disorder) is a neurodevelopmental disorder influenced by genes and the environment. This study investigated the protective effects of bovine MFGM (BMFGM) and goat MFGM (GMFGM) supplementation on ASD model mice. Analysis of phospholipid composition showed higher levels of phosphatidylcholine in BMFGM and phosphatidylethanolamine in GMFGM. Behavioral results indicated MFGMs ameliorated social deficits， with GMFGM being more effective. MFGMs mitigated neuroinflammation by suppressing microglial overactivation and proinflammatory cytokines expression， meanwhile GMFGM increased the anti-inflammatory factor IL-10. MFGMs also altered gut microbiota composition and maintained gut barrier integrity. Uniquely， GMFGM increased butyrate production. Correlation analysis revealed positive associations between social behavior， levels of phosphatidylcholine， sphingomyelin， and the abundance of Allobaculum， Clostridium＿sensu＿stricto， and Turicibacter. Overall， these findings revealed the protective effects of MFGMs on neurodevelopment in ASD animal models and the underlying mechanism could be partly explained by their regulation of gut microbiota by the phospholipid components in MFGMs.

关键词：

Recent advances in the microfluidic generation of shape-controllable hydrogel microparticles and their applications

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Green Chemical Engineering 2024年第1期5卷 16-30页

作者： Yingzhe liu zhuo Chen Jianhong Xu The State Key Lab of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China

Hydrogel microparticles,generally accepted as significant green materials,have been widely used in chemical,biological,and biomedical fields owing to their excellent biocompatibility,biodegradability,and noncytotoxicity.Among these,non-spherical hydrogel microparticles with diverse shape anisotropy have great potential in applications such as drug delivery,cellular interaction,micromotors,etc.Benefiting from their shapes,their functionalities in such fields cannot be satisfied by the typical spherical types.Recently,microfluidics with precise control and domination of fluids at microflow sizes has emerged as a powerful method for synthesizing shape-controllable hydrogel microparticles with good monodispersity and unique morphology.In this review,we tried to provide an overview of the production of non-spherical microparticles composed of green hydrogel materials,emphasizing the microfluidic approaches.Furthermore,a brief introduction to their current applications is also presented.

关键词： Microfluidics Hydrogel Microparticles Non-spherical Anisotropic Green materials

维普期刊数据库

Mitigate noisy data for smart IoT via GAN based machine unlearning

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2024年第3期67卷 62-78页

作者： zhuo MA Yilong YANG Yang liu Xinjing liu Jianfeng MA School of Cyber Engineering Xidian University State Key Laboratory of Integrated Services Networks (ISN)

With the development of IoT applications, machine learning dramatically improves the utility of variable IoT systems such as autonomous driving. Although the pretrain-finetune framework can cope well with data heterogeneity in complex IoT scenarios, the data collected by sensors often contain unexpected noisy data, e.g., out-of-distribution(OOD) data, which leads to the reduced performance of fine-tuned models. To resolve the problem, this paper proposes Mu GAN, a method that can mitigate the side-effect of OOD data via the generative adversarial network(GAN)-based machine unlearning. Mu GAN follows a straightforward but effective idea to mitigate the performance loss caused by OOD data, i.e., “flashbacking” the model to the condition where OOD data are excluded from model training. To achieve the goal, we design an adversarial game, where a discriminator is trained to identify whether a sample belongs to the training set by observing the confidence score. Meanwhile, a generator(i.e., the target model) is updated to fool the discriminator into believing that the OOD data are not included in the training set but others do. The experimental results show that benefiting from the high unlearning rate(more than 90%) and retention rate(99%), Mu GAN succeeds in lowering the model performance degradation caused by OOD data from 5.88% to 0.8%.

关键词： machine unlearning generative adversarial network out of distribution data Internet of Thing neural network

Prediction on Failure Pressure of Pipeline Containing Corrosion Defects Based on ISSA-BPNNModel

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Energy Engineering 2024年第3期121卷 821-834页

作者： Qi Zhuang Dong liu zhuo Chen PetroChina Changqing Oilfield Company The Second Gas Production PlantXi’an710000China PetroChina Changqing Oilfield Company Safety and Environmental Supervision Department Co.Ltd.Xi’an710000China Sinopec Northwest Oilfield Company The Second Oil Production Plant Co.Ltd.Urumqi830016China

Oil and gas pipelines are affected by many factors,such as pipe wall thinning and pipeline rupture.Accurate prediction of failure pressure of oil and gas pipelines can provide technical support for pipeline safety management.Aiming at the shortcomings of the BP Neural Network(BPNN)model,such as low learning efficiency,sensitivity to initial weights,and easy falling into a local optimal state,an Improved Sparrow Search Algorithm(ISSA)is adopted to optimize the initial weights and thresholds of BPNN,and an ISSA-BPNN failure pressure prediction model for corroded pipelines is established.Taking 61 sets of pipelines blasting test data as an example,the prediction model was built and predicted by MATLAB software,and compared with the BPNN model,GA-BPNN model,and SSA-BPNN model.The results show that the MAPE of the ISSA-BPNN model is 3.4177%,and the R2 is 0.9880,both of which are superior to its comparison model.Using the ISSA-BPNN model has high prediction accuracy and stability,and can provide support for pipeline inspection and maintenance.

关键词： Oil and gas pipeline corrosion defect failure pressure prediction sparrow search algorithm BP neural network logistic chaotic map

Theoretical screening of cooperative N-bridged dual-atom sites for efficient electrocatalytic nitrogen reduction with remolding insight

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2024年第4期17卷 3413-3422页

作者： Huimei Chen Yan Yang Chi Jiao Zhiwen zhuo Junjie Mao Yan liu Key Laboratory of Functional Molecular Solids Ministry of EducationCollege of Chemistry and Materials ScienceAnhui Normal UniversityWuhu 241002China

The electrocatalytic nitrogen reduction reaction(e-NRR)is a promising alternative method for the Haber–Bosch process.However,it still faces many challenges in searching for high activity,stability,and selectivity catalysts and ascertaining the catalytic mechanism with complete insight.Here,a series of graphene-based N-bridged dual-atom catalysts(M1-N-M2/NC)are systematically investigated via first-principle calculation and a high-throughput screening strategy.The result unveils that N_(2) adsorption on M1-N-M2/NC in bridge-on adsorption mode can effectively break the scaling relationship on single-atom catalysts(SACs).Moreover,V-N-Ru/NC and V-N-Os/NC are systematically screened out as promising e-NRR catalysts,with extremely low limiting potentials of-0.20 and-0.18 V,respectively.Furthermore,the adsorption site competition between*N_(2) and*H,as well as the competitive twin reactions of hydrogen evolution reaction(HER)on intermediates(N_(n)H_(m))during the e-NRR process,is systematically evaluated to form a remodeling insight for the reactions in mechanism,and the e-NRR of new proposed dual-atom catalysts(DACs)is strategically optimized for its high-efficiency performance potential via our remolding insight in e-NRR mechanism.This work provides new ideas and insights for the design and mechanism of e-NRR catalysts and an effective strategy for rapidly screening highly efficient e-NRR catalysts.

关键词： nitrogen reduction dual-atom catalysts high-throughput screening hydrogen evolution reaction density functional theory calculations

Biochar-based materials as remediation strategy in petroleum hydrocarbon-contaminated soil and water:Performances,mechanisms,and environmental impact

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2024年第4期138卷 350-372页

作者： zhuo Wei YiWei Yang liu Shuai Niu Yaxi Xu Jong-Hwan Park Jim J.Wang Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China School of Plant Environment&Soil SciencesLouisiana State University AgCenter.Baton RougeLA 70803USA Department of Life Resources Industry Dong-A University37Nakdong-daero 550 beon-gilSaha-guBusan 49315South Korea

Petroleum contamination is considered as a major risk to the health of humans and environment.Biochars as low-cost and eco-friendly carbon materials,have been widely used for the removal of petroleum hydrocarbon in the environment.The purpose of this paper is to review the performance,mechanisms,and potential environmental toxicity of biochar,modified biochar and its integration use with other materials in petroleum contaminated soil and water.Specifically,the use of biochar in oil-contaminated water and soil as well as the factors that could influence the removal ability of biochar were systematically evaluated.In addition,the modification and integrated use of biochar for improving the removal efficiency were summarized from the aspects of sorption,biodegradation,chemical degradation,and reusability.Moreover,the functional impacts and associated ecotoxicity of pristine and modified biochars in various environments were demonstrated.Finally,some shortcoming of current approaches,and future research needs were provided for the future direction and challenges of modified biochar research.Overall,this paper gain insight into biochar application in petroleum remediation from the perspectives of performance enhancement and environmental sustainability.

关键词： Petroleum contamination Adsorbent Bioremediation Biochar modification Ecotoxicity

维普期刊数据库

Anti-psoriasis molecular targets and active components discovery of Optimized Yinxieling Formula via affinity-purified strategy

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Natural Medicines 2024年第2期22卷 127-136页

作者： WANG Wei liu Lijuan YANG zhuo LU Chuanjian TU Pengfei ZHAO Ruizhi ZENG Kewu State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical SciencesPeking UniversityBeijing 100191China State Key Laboratory of Dampness Syndrome of Chinese Medicine The Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou 510006China

Psoriasis,a prevalent inherited skin condition,involves an inflammatory response as a key pathogenic mechanism.The Optimized Yinxieling Formula(OYF),rooted in traditional Chinese medicine,is extensively utilized in clinical settings to treat psoriasis.Although previous studies have demonstrated OYF’s significant anti-inflammatory effects in psoriasis,its potential molecular targets and active components remain unexplored.This study aimed to unveil the anti-psoriasis molecular targets and active components of OYF.Our findings indicated that OYF extract markedly reduced the production of several inflammatory mediators,including IL-23,nitric oxide,TNF-α,and IL-1β,in LPS-induced RAW264.7 cells.We synthesized OYF extract-crosslinked beads to isolate pharmacological targets from RAW264.7 lysates using an affinity purification strategy,known as Target Fishing.The enriched target proteins were subsequently identified via LC-MS/MS,followed by bioinformatics analysis to map the psoriasis-associated pathway-gene network.We identified a total of 76 potential target proteins,which were highly associated with mRNA transcription mechanisms.In particular,pathway-gene network analysis revealed that the IL-23 inflammatory pathway was involved in the anti-psoriasis effect of OYF extract.We further utilized a target protein-based affinity capture strategy,combined with LC-MS and SPR analysis,to globally screen OYF’s active components,focusing on the mRNA transcription regulator,fused in sarcoma(FUS).This process led to the identification of umbelliferone,vanillic acid,protocatechuic acid,gentisic acid,and echinacoside as key compounds targeting FUS to inhibit IL-23 expression.Additionally,we formulated a compound cocktail(CpdC),which significantly reduced psoriasis area and severity index(PASI)scores and the expressions of IL-23 and Ki67 in an imiquimod(IMQ)-induced psoriasis mouse model.Collectively,our study elucidates the primary molecular targets and active components of OYF,offering novel insights for psoriasis treatment.

关键词： Psoriasis Optimized Yinxieling Formula(OYF) FUS protein Molecular targets Affinity-purified strategy

Review on frost resistance and anti-clogging of pervious concrete

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 481-496页

作者： zhuo Wang Zhichen liu Feng Zeng Kun He Shuaicheng Guo China Railway Construction Group Co. Ltd. State Key Laboratory of Bridge Safety and Resilience College of Civil Engineering Hunan University

Pervious concrete is a special type of concrete that is of high porosity and contains no or a small amount of fine aggregate, and it is an important basic material for sponge city construction. The presence of a large number of connected pores inside pervious concrete leads to a marked difference in durability failure mechanism compared with that of ordinary concrete.In this study, the frost resistance and anti-clogging of pervious concrete were introduced in detail, and the methods to improve their performance were summarized systematically. The cracking pattern of pervious concrete is influenced by geometric characteristics and three-dimensional morphological features of pores, resulting in its crack generation, development, and geometry being significantly different from those of ordinary concrete, thus leading to different freeze-thaw cycle mechanisms. In addition,due to its different pore structure compared to ordinary concrete, three types of clogging mechanisms, affecting the long-term permeability of pervious concrete were elaborated systematically(i.e., physical clogging, biological clogging, and chemical clogging). And the ways to improve the anti-clogging of pervious concrete are systematically presented from multiple perspectives. Finally, in order to broaden the engineering applications of pervious concrete, some research proposals are presented in this study.

关键词： Pervious concrete Connected pore Frost resistance Clogging mechanism

In situ reduction strategy towards high conductivity,anti-freezing and super-stretchable rGO based hydrogel for diverse flexible electronics

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2024年第5期17卷 4016-4022页

作者： Xin Zhang Junhao Wang Mengyan Wang Dongxu liu zhuo Wang College of Resources and Environment University of Chinese Academy of SciencesBeijing 101408China Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of ScienceBeijing 101400China

Hydrogels electrolytes with flexibility and high conductivity have been widely used in kinds of flexible electronics.However,hydrogels always suffer from the inevitable freezing of water at subzero temperatures,which results in the sacrificing of their electrical properties.Herein,an anti-freezing,flexible hydrogel based on in situ reduction of graphene oxide(GO)and laponite has been developed as electrolyte for high performance supercapacitor and sensitive sensors.The crosslinked GO and laponite in polyacrylamide(PAM)resulted in an enhanced mechanical property,while the in-situ reduction of GO in the hydrogel enhanced the conductivity and diminishes the aggregated of GO.These features guarantee a reliable electro signal as sensor and a high performance of the supercapacitor.Besides,in the process of preparation of reduced graphene oxide(rGO)hydrogel,the addition of ethylene glycol(EG)and KOH,endows the hydrogel antifreeze properties.This anti-freezing electrolyte can be stretched to a strain of 1600%and maintained a specific capacitance of 37.38 F·g^(-1) at-20℃.In addition,the photothermal conversion character of rGO in the hydrogel,endows it’s the potential application in wound healing.The overall merits of the hydrogel will open up a new avenue for sensitive sensor and energy storage device in practical applications.

关键词： hydrogel in-situ reduction flexible electronics low temperature tolerance photothermal therapy

Thermal fatigue and wear of compacted graphite iron brake discs with various thermomechanical properties

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Foundry 2024年第3期21卷 248-256页

作者： Gui-quan Wang zhuo Xu Zhong-li liu Xiang Chen Yan-xiang Li School of Nuclear Equipment and Nuclear Engineering Yantai UniversityYantai 264005ShandongChina School of Materials Science and Engineering Tsinghua UniversityBeijing 100084China Key Laboratory for Advanced Materials Processing Technology Ministry of EducationBeijing 100084China

The increase in payload capacity of trucks has heightened the demand for cost-effective yet high performance brake discs.In this work,the thermal fatigue and wear of compacted graphite iron brake discs were investigated,aiming to provide an experimental foundation for achieving a balance between their thermal and mechanical properties.Compacted graphite iron brake discs with different tensile strengths,macrohardnesses,specific heat capacities and thermal diffusion coefficients were produced by changing the proportion and strength of ferrite.The peak temperature,pressure load and friction coefficient of compacted graphite iron brake discs were analyzed through inertia friction tests.The morphology of thermal cracks and 3D profiles of the worn surfaces were also discussed.It is found that the thermal fatigue of compacted graphite iron discs is determined by their thermal properties.A compacted graphite iron with the highest specific heat capacity and thermal diffusion coefficient exhibits optimal thermal fatigue resistance.Oxidization of the matrix at low temperatures significantly weakens the function of alloy strengthening in hindering the propagation of thermal cracks.Despite the reduced hardness,increasing the ferrite proportion can mitigate wear loss resulting from low disc temperatures and the absence of abrasive wear.

关键词： compacted graphite iron brake disc thermomechanical properties thermal fatigue wear

维普期刊数据库