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Microwave awakening the n-π^(*) electronic transition in highly crystalline polymeric carbon nitride nanosheets for photocatalytic hydrogen generation

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journal of Energy Chemistry 2022年第2期31卷 541-547页

作者： Xiangang Lin Haiwei Du Daochuan jiang Peng Zhang Zhiwu Yu Hong bi Yupeng Yuan School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Chemistry for Inorganic/Organic Hybrid Functionalized MaterialsAnhui UniversityHefei 230601AnhuiChina Key Laboratory of Structure and Functional Regulation of Hybrid Materials(Anhui University) Ministry of EducationHefei 230601AnhuiChina High Magnetic Field Laboratory CAS Key Laboratory of High Magnetic Field and Ion Beam Physical BiologyHefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031AnhuiChina School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001HenanChina

The n-π^(*) electronic transition in polymeric carbon nitride(PCN)can remarkably harvest visible light,which thus potentially promotes the photocatalytic hydrogen H2 ***,awaking the n-π^(*) lectronic transition has proven to be a grand ***,we reported on the awakening of n-π^(*) electronic transition by microwave thermolysis of urea pellet,which yielded the PCN with absorption edge of 600 nm,near 140 nm red-shift from 460 nm of pristine *** n-π^(*) electronic transition endows PCN with an increased photocata lytic H_(2) generation,with a highest H_(2) rate of 61.7μmol h^(-1) under visible light exposure,which is near 6 times higher than that by using the PCN from the thermolysis of urea pellets in an electric furnace(10.6μmol h^(-1)).Furthermore,the n-π^(*) transition in PCN leads to the longest wavelength of 535 nm that can initiate H2 generation,remarkably longer than the absorption edge of pristine PCN(460 nm).This work manifests the advantages of microwave sintering route to awaken the n-π^(*) electronic transition in PCN for an increased photocata lytic performance.

关键词： Polymeric carbon nitride Microwave n-π^(*)electronic transition Hydrogen

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Increasingπ-electron availability in benzene ring incorporated graphitic carbon nitride for increased photocatalytic hydrogen generation

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journal of Materials Science & Technology 2021年第6期65卷 164-170页

作者： Xiangang Lin Xiaojuan Hou Lixia Cui Shiqiang Zhao Hong bi Haiwei Du Yupeng Yuan School of Chemistry and Chemical Engineering Anhui Province Key Laboratory of Chemistry for Inorganic/Organic Hybrid Functionalized MaterialsAnhui UniversityHefei 230601China Acupuncture and Tuina College Anhui University of Chinese Medicinehefei 230012china College of Chemistry and Materials Engineering Wenzhou UniversityWenzhou 325035China Key Laboratory of Structure and Functional Regulation of Hybrid Materials(Anhui University) Ministry of EducationHefei 230601China Energy Materials and Devices Key Lab of Anhui Province for Photoelectric Conversion Hefei 230601China

Increasing the availability ofπ-electron in graphitic carbon nitride(g-C_(3)N_(4))can reduce the band gap and thus enhance the photocatalytic hydrogen(H_(2))generation activity upon exposure to visible light,However,such strategy has not yet been largely applied to increase the H_(2)generation of g-C_(3)N_(4).Herein,we succes s fully increased the amount ofπ-electron in g-C_(3)N_(4)by incorporatingπ-electron-rich benzene rings through copolymerization of melamine and trimesic acid in *** incorporation of benzene rings not only extends the light absorption of g-C_(3)N_(4)to 650 nm,but also improves the electrical conductivity due to delocalization ofπelectrons in benzene *** a result,a 3.4 times enhancement of photocatalytic H_(2)generation was achieved from the g-C_(3)N_(4)with benzene ring incorporation in comparing with that of pristine g-C_(3)N_(4).More interestingly,H_(2)generation still occurs under irradiation of the light ofλ≥490 nm,above the absorption edge of pristine g-C_(3)N_(4)(~460 nm),illustrating the positive effectiveness of incorporated benzene rings on enhancing the H_(2)generation capacity of g-C_(3)N_(4).The present work manifests the advantages of increasingπ-conjugated electrons on designing highly active g-C_(3)N_(4)photocatalysts.

关键词： Photocatalysis Hydrogen g-C_(3)N_(4) π-Electron Benzene ring

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Extraction and analysis of risk factors from Chinese chemical accident reports

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Chinese journal of Chemical Engineering 2023年第9期61卷 68-81页

作者： Xi Luo Xiayuan Feng Xu ji Yagu Dang Li Zhou Kexin bi Yiyang Dai School of Chemical Engineering Sichuan UniversityChengdu 610065China

Accidents in chemical production usually result in fatal injury,economic loss and negative social *** accident reports which record past accident information,contain a large amount of expert ***,manually finding out the key factors causing accidents needs reading and analyzing of numerous accident reports,which is time-consuming and labor ***,in this paper,a semiautomatic method based on natural language process(NLP)technology is developed to construct a knowledge graph of chemical ***,we build a named entity recognition(NER)model using SoftLexicon(simplify the usage of lexicon)+BERT-Transformer-CRF(conditional random field)to automatically extract the accident information and risk *** risk factors leading to accident in chemical accident reports are divided into five categories:human,machine,material,management,and *** analysis of the extraction results of different chemical industries and different accident types,corresponding accident prevention suggestions are ***,based on the definition of classes and hierarchies of information in chemical accident reports,the seven-step method developed at Stanford University is used to construct the ontology-based chemical accident knowledge description ***,the ontology knowledge description model is imported into the graph database Neo4j,and the knowledge graph is constructed to realize the structu red storage of chemical accident *** the case of information extraction from 290 Chinese chemical accident reports,SoftLexicon+BERT-Transformer-CRF shows the best extraction performance among nine experimental *** that the method developed in the current work can be a promising tool in obtaining the factors causing accidents,which contributes to intelligent accident analysis and auxiliary accident prevention.

关键词： Chemical processes Chemical process safety Natural language process Knowledge graph Neural networks Algorithm

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Microstructure and mechanical behavior of laser aided additive manufactured low carbon interstitial Fe_(49.5)Mn_(30)Co_(10)Cr_(10)C_(0.5)multicomponent alloy

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journal of Materials Science & Technology 2021年第18期77卷 38-46页

作者： Y.Chew Z.G.Zhu F.Weng S.B.Gao F.L.Ng B.Y Lee G.j.bi Singapore Institute of Manufacturing Technology 73 Nanyang Drive637662Singapore School of Mechanical Aerospace Engineering Nanyang Technological University50 N any ang Avenue639798Singapore

Laser aided additive manufacturing(LAAM)was used to fabricate bulk Fe_(49.5)Mn_(30)Co_(10)Cr_(10)C_(0.5)interstitial multicomponent alloy using pre-alloyed *** room temperature yield strength(σ_y),ultimate tensile strength(σ_(UTS))and elongation(ε_(UTS))were 645 MPa,917 MPa and 27.0%*** asbuilt sample consisted of equiaxed and dendritic cellular structures formed by elemental *** cellular structures together with oxide particle inclusions were deemed to strengthen the *** other contributing components include dislocation strengthening,friction stress and grain boundary *** highε_(UTS)was attributed to dislocation motion and activation of both twinning and transformation-induced plasticity(TWIP and TRIP).Tensile tests performed at-40℃and-130℃demonstrated superior tensile strength of 1041 MPa and 1267 MPa ***,almost no twinning was observed in the fractured sample tested at-40℃and-130℃.Instead,higher fraction of strain-induced hexagonal close-packed(HCP)εphase transformation of 21.2%were observed for fractured sample tested at-40℃,compared with 6.3%in fractured room temperature sample.

关键词： Multicomponent alloys Laser aided additive manufacturing Additive manufacturing Microstructure Mechanical property

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京津冀建筑业碳排放区域差异及影响因素研究

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工程管理学报 2024年第1期38卷 48-53页

作者：石振武毕爱琦王金茹东北林业大学土木与交通学院黑龙江哈尔滨150040

以京津冀地区为研究对象,构建建筑业全过程碳排放测算模型分析京津冀地区建筑业碳排放的区域差异,利用STIRPAT模型进一步探讨人口总量、城镇化水平、人均GDP、建筑产业结构效应、能源结构效应、能源消耗强度、劳动生产率7个因素对京、... 详细信息

以京津冀地区为研究对象,构建建筑业全过程碳排放测算模型分析京津冀地区建筑业碳排放的区域差异,利用STIRPAT模型进一步探讨人口总量、城镇化水平、人均GDP、建筑产业结构效应、能源结构效应、能源消耗强度、劳动生产率7个因素对京、津、冀建筑业碳排放的影响。结果表明:京津冀地区建筑业碳排放总量大体呈现先增后减再稳定的态势,各因素对京津冀建筑业碳排放的影响存在地区差异,除劳动生产率抑制建筑业碳排放增长,其余6个因素均起促进作用,其中城镇化水平对北京市和天津市的促进作用最强,人口总量对河北省的促进作用最强。基于此,根据各地区碳排放影响因素的影响情况制定差异化减排对策。

关键词：建筑业碳排放 STIRPAT模型影响因素劳动生产率

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Dose-dependent effects of apple pectin on alleviating high fat-induced obesity modulated by gut microbiota and SCFAs

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Food Science and Human Wellness 2022年第1期11卷 143-154页

作者： Yuanyuan Zhao jinfeng bi jianyong Yi jian Peng Qiancheng Ma Institute of Food Science and Technology Chinese Academy of Agricultural Sciences(CAAS)Key Laboratory of Agro-Products ProcessingMinistry of Agriculture and Rural AffairsBeijing 100193China Sericultural and Agri-FoodResearch Institute Guangdong Academy of Agricultural SciencesGuangdong Key Laboratory of Agricultural Products ProcessingGuangzhou 510610China School of Food Science and Technology Dalian Polytechnic UniversityDalian 116034China

Recently,pectin has been used as an alternative for commercial prebiotic products to modulate gut *** this study,the standard diet(Chow group)and high fat diet containing 0%(HF group),1%,3%,5%,8% or 12%(m/m)apple pectin(HF-P group)were offered ad libitum for 8 weeks to 4-week C57BL/6j mice(n=10/group).Results showed that body weight gain(R^(2)=–0.990),subcutaneous adipose accumulation(R^(2)=–0.930),serum triglyceride elevation(R_(2)=–0.879),acetate(R^(2)=0.955)and propionate concentration reduction(R2=0.985)were suppressed by pectin from 1% to 12%,indicating dose response to pectin ***,abundance of obesity-related bacteria Coriobacteriaceae,and pectin-degradating bacteria,Faecalibaculum,Ruminococcus were significantly increased with pectin dosage increased,and the R^(2) were 0.936,0.963 and 0.937,***,attenuations for colonic injury and liver steatosis were observed after adding 5% and 8% pectin,*** study confirmed the dose-sensitive manner of pectin to alleviate HF-induced obesity by modulating gut microbiota and enhancing short-chain fatty acids production.

关键词： Pectin Dosage Obesity Gut microbiota Short-chain fatty acid

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人参皂苷Rg1、Re对感染LPS猪空肠上皮细胞IPEC-j2的保护作用

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中国兽医学报 2024年第6期44卷 1256-1267页

作者：杜林张莉胡卫东马琪杜红旭李俊甘玲毕师诚西南大学动物医学院重庆荣昌402460 汉中市动物疫病预防控制中心陕西汉中723099 国家生猪技术创新中心重庆荣昌402460 西南大学中兽医研究所重庆荣昌402460

基于网络药理学和体外试验,共同探讨人参皂苷Rg1和Re对感染LPS猪空肠上皮细胞IPEC-j2的保护作用。采用网络药理学获取并筛选Rg1、Re缓解肠道屏障损伤的交集靶点,并采用分子对接技术验证网络药理学的预测结果。本试验分组为Control、LPS... 详细信息

基于网络药理学和体外试验,共同探讨人参皂苷Rg1和Re对感染LPS猪空肠上皮细胞IPEC-j2的保护作用。采用网络药理学获取并筛选Rg1、Re缓解肠道屏障损伤的交集靶点,并采用分子对接技术验证网络药理学的预测结果。本试验分组为Control、LPS、Rg1和Re组。观察不同浓度Rg1、Re对IPEC-j2细胞存活率、凋亡率、TEER值、FD4通透性和炎性因子的影响,同时采用荧光定量PCR检测不同浓度Rg1、Re对凋亡相关基因mRNA表达水平的影响。网络药理学结果显示,Rg1、Re预防肠道屏障损伤主要涉及PI3K-Akt、MAPK信号通路等过程。分子对接结果显示,Rg1与所有交集靶点结合能均小于0,而人参皂苷Re仅与SRC靶点的结合能小于0。体外试验显示不同浓度的Rg1、Re预处理均会不同程度地提高LPS处理的IPEC-j2的存活率、TEER值,减少细胞凋亡、FD4通透性降低、炎性因子TNF-α的分泌,表明Re、Rg1可有效降低LPS处理对IPEC-j2细胞的影响。Rg1显著上调MAPK8、MAPK10、HRAS,显著下调MAP2K1、PIK3CG、IL-2、SRC的mRNA表达水平;Re显著上调MAPK8、MAPK10、HRAS、PIK3R1、BCL2基因的mRNA表达水平。这些结果提示,人参皂苷Rg1、Re和含有Rg1、Re的人参皂苷产品在预防仔猪肠道屏障损伤方面值得进一步研究。

关键词：人参皂苷猪空肠上皮细胞网络药理学

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基于蜣螂算法优化的投影寻踪生态环境评价方法构建

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煤炭学报 2024年第6期49卷 2799-2810页

作者：刘英范雅慧衡文静许萍萍岳辉毕银丽牛鸿波田少国祖鹏举曹满红董起广西安科技大学测绘科学与技术学院陕西西安710054 西安科技大学地质与环境学院陕西西安710054 西安科技大学西部矿山生态环境修复研究院陕西西安710054 陕西省煤层气开发利用有限公司陕西西安710119 陕西生态产业有限公司陕西西安710061

矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫。为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区2000—2023年24期逐年的Landsat影像为基础数据,通过计算绿度(Normalized ... 详细信息

矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫。为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区2000—2023年24期逐年的Landsat影像为基础数据,通过计算绿度(Normalized Difference Vegetation Index,NDVI)、湿度(Humidity Index,WET)、热度(Land Surface Temperature,LST)、干度(Normalized Differential Build-up and bare Soil Index,NDBSI)4项生态指标,并采用基于果蝇优化算法的投影寻踪(Fruit Fly Optimization Algorithm-Projection Pursuit Clustering,FOA–PPC)、基于粒子群优化算法的投影寻踪(Particle Swarm Optimization-Projection Pursuit Clustering,PSO–PPC)、基于灰狼优化算法的投影寻踪(Grey Wolf Optimizer-Projection Pursuit Clustering,GWO–PPC)和基于蜣螂优化算法的投影寻踪(Dung Beetle Optimizer-Projection Pursuit Clustering,DBO–PPC)4种群智能优化算法构建矿区生态环境质量评价方法,并利用平均相关度进行精度验证。结果表明:①DBO–PPC模型的平均相关度和类内聚集度均高于PSO–PPC模型、FOA–PPC模型和GWO–PPC模型,且与EI指数更接近,表明DBO–PPC能更好的评估研究区生态环境;②基于DBO–PPC模型的张家峁矿区2000—2023年生态环境质量均值为0.4,生态环境质量以差和较差等级为主,面积占比约55.94%,空间上呈西部差东部好,常家沟水库的生态环境在研究期内表现为优等级,矿区东北部和中部区域的生态环境较好,植被覆盖较多;③矿区发生沉陷面积占比为81.28%,沉陷最大值达−0.15 m;采区发生沉陷现象面积占比明显高于矿区,占采区面积的89.56%,生态环境质量以−0.0004的速率下降,表明采矿活动使得研究区的地表发生了沉陷,进而影响到生态环境。综上所述DBO–PPC模型在监测评价矿区生态环境质量方面具有较强的合理性,从而为矿区生态环境可持续发展提供技术手段。

关键词：群智能优化算法投影寻踪 DBO–PPC 生态环境评价

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Cross-Language Transfer Learning-based Lhasa-Tibetan Speech Recognition

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Computers, Materials & Continua 2022年第10期73卷 629-639页

作者： Zhijie Wang Yue Zhao Licheng Wu Xiaojun bi Zhuoma Dawa Qiang ji School of Information Engineering Minzu University of ChinaBeijing100081China School of Chinese Ethnic Minority Languages and Literatures Minzu University of ChinaBeijing100081China Department of Electrical Computerand Systems EngineeringRensselaer Polytechnic InstituteTroyNY 12180-3590USA

As one of Chinese minority languages,Tibetan speech recognition technology was not researched upon as extensively as Chinese and English were until ***,along with the relatively small Tibetan corpus,has resulted in an unsatisfying performance of Tibetan speech recognition based on an end-to-end *** paper aims to achieve an accurate Tibetan speech recognition using a small amount of Tibetan training *** demonstrate effective methods of Tibetan end-to-end speech recognition via cross-language transfer learning from three aspects:modeling unit selection,transfer learning method,and source language *** results show that the Chinese-Tibetan multi-language learning method using multilanguage character set as the modeling unit yields the best performance on Tibetan Character Error Rate(CER)at 27.3%,which is reduced by 26.1%compared to the language-specific *** our method also achieves the 2.2%higher accuracy using less amount of data compared with the method using Tibetan multi-dialect transfer learning under the same model structure and data set.

关键词： Cross-language transfer learning low-resource language modeling unit Tibetan speech recognition

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Label-free quantitative proteomics analysis models in vivo and in vitro reveal key proteins and potential roles in sciatic nerve injury

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生物细胞(英文) 2023年第9期47卷 2069-2080页

作者： YANG GU MINGGUANG bi DEHUI CHEN NING NI jIANMING CHEN Department of Trauma Orthopedics Surgery Ningbo No.6 HospitalNingbo University School of MedicineNingbo315000China Department of Orthopedics Ningbo Medical CenterLihuili HospitalNingbo University School of MedicineNingbo315000China Department of Orthopedic Surgery Fujian Medical University Union HospitalFuzhou350001China School of Medicine Ningbo UniversityNingbo315000China

Background:The underlying mechanism of sciatic nerve injury(SNI)is a common motor functional disorder,necessitates further ***:A rat model of SNI was established,with the injury group subjected to compressive injury of the right sciatic nerve exposed at the midpoint of the thigh and the sham surgery group undergoing the same surgical *** oxygen-glucose deprivation model was employed to simulate in vitro SNI in PC12 *** data acquisition and quality control,differentially expressed proteins(DEPs)in each model were identified through differential analysis,and enrichment analysis was used to explore the potential functions and pathways of the *** diagrams were drawn,and DEPs from both in vivo and in vitro SNI models were imported into the STRING database to construct a protein-protein interaction network and screen for hub ***:After the peptide segments obtained from rat nerve blockade and PC12 cells met quality requirements,258 DEPs were identified in rat nerve samples,and 119 DEPs were screened in PC12 *** analysis revealed that DEPs in the rat model were predominantly concentrated in biological functions such as myogenic cell proliferation and signaling related to lipid and energy *** in the in vitro model were mainly enriched in biological processes such as phagocytosis and were associated with lipid transport and *** hub proteins,amyloid precursor protein(APP)and fibronectin 1(FN1),were identified through MCC,MCODE,and Degree *** PC12 cells and external validation sets showed relatively higher expression of APP and FN1 in injured *** of gene set enrichment analysis indicated that these two proteins were associated with metabolic pathways,such as biosynthesis of glycosaminoglycan chondroitin sulfate and biosynthesis of unsaturated fatty ***:APP and FN1 are potential key molecules involved in SNI and are associated with various metabolic pathways

关键词： Oxygen glucose deprivation Proteomics Sciatic nerve injury Peripheral nerve injury

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