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journal of Environmental Sciences 2024年第2期136卷 615-625页

作者： Zhi-ang Zhao jingyun Mao Chengjing Lu Shuangqiao Yang Qingrong Qian Qinghua Chen Hun xue Xiaoli Sun min-Quan Yang College of Environmental and Resource Sciences College of Carbon Neutral Modern IndustryFujian Key Laboratory of Pollution Control and Resource ReuseFujian Normal UniversityFuzhou 350007China State Key Laboratory of Polymer Materials Engineering Polymer Research Institute of Sichuan UniversityChengdu 610065China

The design and synthesis of self-suspending photocatalyst device with easy recyclability is important for practical ***,this work utilizes aluminum-plastic package waste as raw material to prepare an aluminum-plastic supported TiO_(2)(AP-TiO_(2))photocatalyst device through 3D printing design and surface deposition method.A series of characterizations were carried out to explore the structure,morphology and performance of the AP-TiO_(2)*** UV light illumination,the AP-TiO_(2)-50 efficiently degrade 93.6%tetracycline hydrochloride(THC)after 4 hr,which increases by 8.3%compared with that of TiO_(2)powder suspension system with the same catalyst *** on it,AP-ZnO,AP-CdS,AP-g-C_3N_4and AP-Pt-TiO_(2)are also fabricated,and applied in photocatalytic degradation and hydrogen evolution,which all exhibit higher photoactivities than powder suspension *** work provides a new avenue for the fabrication of advanced recyclable photocatalyst ***,the work offers a novel sight for the high-value utilization of aluminum-plastic package waste,which has positive implications for environmental protection.

关键词： TiO_(2) Self-suspending Photocatalyst device Aluminum plastic

Phase-Field Simulation of Sintering Process:A Review

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1165-1204页

作者： ming xue min Yi State Key Laboratory ofMechanics and Control forAerospace Structures&Institute for Frontier Science&Key Laboratory for Intelligent Nano Materials and Devices of ministry of Education&College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics(NUAA)Nanjing210016China

Sintering,a well-established technique in powder metallurgy,plays a critical role in the processing of high melting point materials.A comprehensive understanding of structural changes during the sintering process is essential for effective product *** phase-field method stands out for its unique ability to simulate these structural *** its widespread application,there is a notable absence of literature reviews focused on its usage in sintering ***,this paper addresses this gap by reviewing the latest advancements in phase-field sintering models,covering approaches based on energy,grand potential,and entropy *** characteristics of various models are extensively discussed,with a specific emphasis on energy-based models incorporating considerations such as interface energy anisotropy,tensor-form diffusion mechanisms,and various forms of rigid particle motion during ***,the paper offers a concise summary of phase-field sintering models that integrate with other physical fields,including stress/strain fields,viscous flow,temperature field,and external electric *** conclusion,the paper provides a succinct overview of the entire content and delineates potential avenues for future research.

关键词： Phase-field model review sintering additive manufacturing

Sequential good lattice point sets for computer experiments

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Science China Mathematics 2024年第9期67卷 2153-2170页

作者： xue-Ru Zhang Yong-Dao Zhou min-Qian Liu Dennis K.j.Lin NITFID LPMC&KLMDASRSchool of Statistics and Data ScienceNankai UniversityTianjin 300071China Department of Statistics Purdue UniversityWest LafayetteIN 47907USA

Sequential Latin hypercube designs(SLHDs) have recently received great attention for computer experiments, with much of the research restricted to invariant spaces. The related systematic construction methods are inflexible, and algorithmic methods are ineffective for large designs. For designs in contracting spaces, systematic construction methods have not been investigated yet. This paper proposes a new method for constructing SLHDs via good lattice point sets in various experimental spaces. These designs are called sequential good lattice point(SGLP) sets. Moreover, we provide efficient approaches for identifying the(nearly)optimal SGLP sets under a given criterion. Combining the linear level permutation technique, we obtain a class of asymptotically optimal SLHDs in invariant spaces, where the L1-distance in each stage is either optimal or asymptotically optimal. Numerical results demonstrate that the SGLP set has a better space-filling property than the existing SLHDs in invariant spaces. It is also shown that SGLP sets have less computational complexity and more adaptability.

关键词： contracting space maximin distance nested Latin hypercube design sequential design space-fillingdesign

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Multifunctional properties of a polar spin chain compound[N(C_(3)H_(7))_(4)][Cu(C_(8)H_(4)NO_(4))]·H_(2)O exhibiting both one-dimensional magnetism and nonlinear optical activity

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Chinese Chemical Letters 2024年第2期35卷 622-625页

作者： ang Li Yanhong Wang Haotian Tian Alimuj.ang Yalikun Yves journaux min Luo Hongcheng Lu Key Laboratory of Material Chemistry for Energy Conversion and Storage School of Chemistry and Chemical EngineeringHubei Key Laboratory of Bioinorganic Chemistry & Materia MedicaHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of optoelectronic Materials Chemistry and Physics Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 35002China Institut Parisien de Chimie Moléculaire IPCMSorbonne UniversitéCNRSParis F-75252France

Functional materials with multiple properties are urgent to be explored to reach high requirements for applications *** this work,a new multifunctional one-dimensional(1D)chain compound[N(C_(3)H_(7))_(4)][Cu(ohpma)]·H_(2)O 1(ohpma=deprotonated N-(2-hydoxyphenyl)oxamic acid)exhibiting both 1D antiferromagnetic and nonlinear optical properties,which are both originated from the same polar[Cu(C_(8)H_(4)NO_(4))]magnetic units,has been successfully synthesized by evaporation at room ***-polydentate nature of the(ohpma)3−ligand with constrained tridentate and bidentate coordination sites conducts Cu^(2+)ions coordinating in different geometries and forms 1D chains along the c axis,which are further separated by the[N(C_(3)H_(7))_(4)]+*** the 1D magnetic chains further exhibit noncentrosymmetric polar *** optical study shows polar compound 1 exhibits a discernible second-harmonic generation(SHG)efficiency and the calculation of the partial density of states indicates that the SHG efficiency of 1 is mainly originated from the polar[Cu(C_(8)H_(4)NO_(4))]magnetic ***,magnetic susceptibility shows a broad maximum around 70 K with strong intrachain interaction of j/k B=−113.0 K but no long-range order is observed down to 2 K,suggesting that 1 shows a good 1D *** good 1D magnetism and SHG activity suggest that 1 could be as a potential multifunctional material,particularly.

关键词： Multifunctional properties Magnetic property Nonlinear optical property Evaporation One-dimensional chain

Machine learning for predicting fatigue properties of additively manufactured materials

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Chinese journal of Aeronautics 2024年第4期37卷 1-22页

作者： min YI ming xue Peihong CONG Yang SONG Haiyang ZHang Lingfeng Wang Liucheng ZHOU Yinghong LI Wanlin GUO State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Shenyang Engine Research Institute Shenyang 110015China Liaoning Key Laboratory of Impact Dynamics on Aero Engine Shenyang 110015China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China

Fatigue properties of materials by Additive Manufacturing(AM) depend on many factors such as AM processing parameter, microstructure, residual stress, surface roughness, porosities, post-treatments, etc. Their evaluation inevitably requires these factors combined as many as possible, thus resulting in low efficiency and high cost. In recent years, their assessment by leveraging the power of Machine Learning(ML) has gained increasing attentions. A comprehensive overview on the state-of-the-art progress of applying ML strategies to predict fatigue properties of AM materials, as well as their dependence on AM processing and post-processing parameters such as laser power, scanning speed, layer height, hatch distance, built direction, post-heat temperature,etc., were presented. A few attempts in employing Feedforward Neural Network(FNN), Convolutional Neural Network(CNN), Adaptive Network-Based Fuzzy Inference System(ANFIS), Support Vector Machine(SVM) and Random Forest(RF) to predict fatigue life and RF to predict fatigue crack growth rate are summarized. The ML models for predicting AM materials' fatigue properties are found intrinsically similar to the commonly used ones, but are modified to involve AM features. Finally, an outlook for challenges(i.e., small dataset, multifarious features,overfitting, low interpretability, and unable extension from AM material data to structure life) and potential solutions for the ML prediction of AM materials' fatigue properties is provided.

关键词： Additive manufacturing Machine learning Fatigue life Fatigue crack growth rate Prediction

Quantitative Applications of Weather Satellite Data for Nowcasting:Progress and Challenges

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journal of Meteorological Research 2024年第3期38卷 399-413页

作者： jun LI jing ZHENG Bo LI min min Yanan LIU Chian-Yi LIU Zhenglong LI WPaul MENZEL Timothy j.SCHMIT john L.CINTINEO Scott LINDSTROM Scott BACHMEIER Yunheng xue Yayu MA Di DI Han LIN Innovation Centre for Fengyun Meteorological Satellite(FYSIC) National Satellite Meteorological CentreChina Meteorological AdministrationBeijing100081China School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies Sun Yat-sen University and Southern Laboratory of Ocean Science and EngineeringZhuhai519082China Key Laboratory of Geographic Information Science(ministry of Education) East China Normal UniversityShanghai200241China Research Center for Environmental Changes Academia SinicaTaipei11529China Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-MadisonMadisonWI53706USA Sensors and Calibration Branch STAR/NESDISMadisonWI53706USA Wuxi University Wuxi214105China School of Computer Science Chengdu University of Information TechnologyChengdu610225China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing210044China Key Laboratory of Spatial Data mining and Information Sharing of ministry of Education National and Local Joint Engineering Research Center of Satellite Geospatial Information TechnologyFuzhou UniversityFuzhou350108China

Monitoring and predicting highly localized weather events over a very short-term period,typically ranging from minutes to a few hours,are very important for decision makers and public *** these events usually relies on radar observations through monitoring and *** advanced high-resolution imaging and sounding observations from weather satellites,nowcasting can be enhanced by combining radar,satellite,and other data,while quantitative applications of those data for nowcasting are advanced through using machine learning *** applications include monitoring the location,impact area,intensity,water vapor,atmospheric instability,precipitation,physical properties,and optical properties of the severe storm at different stages(pre-convection,initiation,development,and decaying),identification of storm types(wind,snow,hail,etc.),and predicting the occurrence and evolution of the *** observations can provide information on the environmental characteristics in the preconvection stage and are very useful for situational awareness and storm *** paper provides an overview of recent progress on quantitative applications of satellite data in nowcasting and its challenges,and future perspectives are also addressed and discussed.

关键词： weather satellite quantitative applications nowcasting pre-convection

Sequence-Controlled Synthesis of Alternating Poly(ester amide)s using Water as Control Agent in One-Pot

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Chinese journal of Polymer Science 2024年第8期42卷 1015-1020页

作者： Tao Liu Fang-Fang Niu Kan Cheng Yu-min Xia Bo-Mou Ma xue-Li Wang jian-Yong Yu Yong He State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Innovation Center for Textile Science and Technology Donghua UniversityShanghai 201620China

Poly(ester amide)s(PEAs)attract much attention as a new kind of biodegradable ***,the synthesis of PEAs with sequence-regulated chain structures is still complicated due to the multistep polymerization,high monomer purity,as well as the usage of organic solvents,which greatly inhibits its development and ***,a one-pot strategy without solvent was developed to synthesize the alternating PEA fromα,ω-amino alcohol and dicarboxylic acid by sequential polycondensation,where water was used as the controlling agent for amidation and ***,the amidation and esterification were controlled to proceed in turn by adding or removing water,realizing the one-pot preparation of alternating *** resultant PEA is characterized by^1H-and^(13)C-NMR,and its chain structure is confirmed to be highly quasi-alternating similar to alternating PEAs prepared by classical methods The evaluations from DSC and DMA demonstrate that the properties of quasi-alternating PEA(T_(m)=102℃,ΔH_(m)=30j·g^(-1))are far superior to those of random PEA(T_(m)=72℃,ΔH_(m)j·g^(-1)).

关键词： Biodegradable macromolecules Polymer architectures Sequence-controlled synthesis One-pot polymerization

Integrated proteomic profiling identifies amino acids selectively cytotoxic to pancreatic cancer cells

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The Innovation 2024年第3期5卷 138-145页

作者： Alfred Akinlalu Zachariah Flaten Komila Rasuleva Md Saimon Mia Aaron Bauer Santhalingam Elamurugan Nega Ejjigu Sudipa Maity Amara Arshad min Wu Wenjie Xia jia Fan ang Guo Sijo Mathew Dali Sun Department of Electrical and Computer Engineering University of Denver2155 E Wesley AvenueDenverCO 80210USA Biomedical Engineering Program North Dakota State University1401 Centennial BoulevardEngineering AdministrationRoom 203FargoND 58102USA Department of Pharmaceutical Sciences School of PharmacyNorth Dakota State University1001 S.1401 Albrecht Boulevard Sudro HallFargoND 58102USA Materials and Nanotechnology Program North Dakota State University1410 North 14th AvenueCIE 201FargoND 58102USA Wenzhou Institute University of Chinese Academy of SciencesWenzhouZhejiang 325000China Department of Aerospace Engineering Iowa State UniversityAmesIA 50011USA Center for Cellular and Molecular Diagnostics Tulane University School of Medicine1430 Tulane AvenueNew OrleansLA 70112USA Department of Biochemistry and Molecular Biology Tulane University School of Medicine1430 Tulane AvenueNew OrleansLA 70112USA Knoebel Institute for Healthy Aging University of Denver2155 E Wesley AvenueDenverCO 80210USA

Pancreatic adenocarcinoma(PDAC)is one of the most deadly cancers,characterized by extremely limited therapeutic options and a poor prognosis,as it is often diagnosed during late disease *** and selective treatments are urgently needed,since current therapies have limited efficacy and significant side *** proteomics analysis of extracellular vesicles,we discovered an imbalanced distribution of amino acids secreted by PDAC tumor *** findings revealed that PDAC cells preferentially excrete proteins with certain preferential amino acids,including isoleucine and histidine,via extracellular *** amino acids are associated with disease progression and can be targeted to elicit selective toxicity to PDAC tumor *** in vitro and in vivo experiments demonstrated that supplementation with these specific amino acids effectively eradicated PDAC ***,we also identified XRN1 as a potential target for these amino *** high selectivity of this treatment method allows for specific targeting of tumor metabolism with very low toxicity to normal ***,we found this treatment approach is easy-to-administer and with sustained tumor-killing ***,our findings reveal that exocytosed amino acids may serve as therapeutic targets for designing treatments of intractable PDAC and potentially offer alternative treatments for other types of cancers.

关键词： finding identif selectivity

Optimizing hemicelluloses pre-extraction in eucalyptus kraft pulping:A pathway towards enhancing pulp mill biorefineries

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Chinese journal of Chemical Engineering 2024年第6期70卷 162-172页

作者： Yuhan Wang Danqi xue jingjing Zhuo Zhouyang Xiang State Key Laboratory of Pulp and Paper Engineering South China University of TechnologyGuangzhou 510640China

A critical pathway towards enhancing pulp mill biorefineries is to integrate the extraction and utilization of hemicelluloses into the pulping ***,an industrial pre-extraction strategy for hemicelluloses targeting eucalyptus kraft pulping process was *** solution or pulping white liquor was used to pre-extract hemicelluloses before the actual pulping *** response surface methodology(RSM)technique was applied to investigate the most suitable conditions to maximize the yield of these hemicelluloses while simultaneously minimizing the damage to pulp yields and ***(105 to 155℃),alkali concentration(3%to 8%),sulfidity(20%to 30%)and retention time(19 to 221 min)were combined to evaluate their effects on hemicellulose yields and chemical *** optimal pre-extraction conditions identified in this work(5.75%NaOH concentration,25%sulfidity at 135℃for 60 min)successfully allowed recovering 4.8%of hemicelluloses(based on the wood dry mass)and limited damages to pulp yields and *** cellulose content in pulp can even be increased by about 10%.Hemicellulose emulsification properties were also evaluated,which were comparable to synthetic *** study provides an industrial pathway to effectively separate and utilize wood hemicelluloses from the pulping process,which has the potential to improve the economy and material utilization of pulp and paper mills.

关键词： Hemicelluloses Xylan Pre-extraction Kraft pulping Emulsifying Response surface methodology(RSM)

新文科背景下地方文化融入大学英语教学研究——以云冈文化英语教学为例

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教育理论与实践 2024年第12期44卷 54-57页

作者：苏雪梅关敏山西大同大学外国语学院山西大同037009

坚定文化自信、中国文化“走出去”的战略为地方优秀文化融入大学英语教学创造了条件。基于新文科的学科交叉和技术融合理念,在大学英语教学体系中采用“五个融合”即地方文化+英语、线上+线下、理论教学+实践教学、过程性评价+终结性... 详细信息

坚定文化自信、中国文化“走出去”的战略为地方优秀文化融入大学英语教学创造了条件。基于新文科的学科交叉和技术融合理念,在大学英语教学体系中采用“五个融合”即地方文化+英语、线上+线下、理论教学+实践教学、过程性评价+终结性评价、课程+思政的有机融合,实现地方文化英语教材建设、教学模式和手段的优化及教学评价的完善,将地方文化有效地融入大学英语教学体系中,旨在培养了解和热爱地方文化、具有文化自觉和自信、在跨文化交流中能够对外传播地方文化的复合型应用型人才,以服务地方经济的发展。

关键词：新文科大学英语教学地方文化云冈文化

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