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SSRN 2024年

作者： Ren, Jie Acarturk, B. Cansu Dowdy, Nicolas D. Srubar, Wil V. College of Civil Engineering Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1111 Engineering Drive ECOT 441 UCB 428 BoulderCO80309 United States Materials Science and Engineering Program University of Colorado Boulder 4001 Discovery Drive BoulderCO80303 United States

The influence of calcium carbonate (CaCO3) on the alkali-activation kinetics, microstructure, and compressive strength of alkali-activated metakaolin (MK) geopolymer cements was investigated herein. Experimental results showed that replacing 10-50% of MK with ground CaCO3 particles delayed the acceleration stage of alkali-activation regardless of replacement amount. However, 10% CaCO3 replacement increased the overall degree of reaction and yielded pastes with similar 14- and 28-day compressive strengths compared to the experimental control with no CaCO3 addition. In comparison, 50% CaCO3 replacement led to a lower overall degree of reaction and lower compressive strengths through 28 days of curing. Experimental evidence substantiates that N-A-S-H gel forms in samples containing 0% and 10% CaCO3, while N-(C)-A-S-H gel and/or C-(N)-A-S-H are also present in the binding matrix near CaCO3 particles in samples with higher CaCO3 contents (i.e., 30% and 50%). While the CaCO3 particles were primarily composed of calcite, vaterite, a less stable form of CaCO3, was also evident in the samples containing 30% and 50%, suggesting that the CaCO3 particles were moderately reactive during the alkali-activation. © 2024, The Authors. All rights reserved.

关键词： Calcium carbonate

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Study of Machine Learning Techniques for Damage Identification in a Beam 10th

Study of Machine Learning Techniques for Damage Identifica...

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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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A Review on Analytical Approaches for Ambient Ozone Open Data in Taiwan

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Current Pollution Reports 2024年第3期10卷 374-386页

作者： Nguyen, Duy-Hieu Liao, Chih-Hsiang Bui, Xuan-Thanh Yuan, Chung-Shin Lin, Chitsan Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan (R.O.C.) Department of Environmental Engineering and Science Chia-Nan University of Pharmacy and Science Tainan Taiwan (R.O.C.) Key Laboratory of Advanced Waste Treatment Technology & Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam Vietnam National University Ho Chi Minh City (VNU-HCM) Ho Chi Minh City Vietnam Institute of Environmental Engineering National Sun Yat-Sen University Kaohsiung Taiwan (R.O.C.) Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan (R.O.C.)

The air quality in Taiwan is significantly impacted by ambient ozone (O3) pollution, which poses a challenge in terms of control due to the involvement of precursors and influencing factors in its photochemical process. This review investigates the measures that have been implemented in Taiwan over the past two decades to address this issue and evaluate their effectiveness in reducing O3 concentrations. Furthermore, it highlights relevant studies that have employed advanced methods to examine the O3 problem. Comprehending the complex formation of O3 and its driving factors is crucial in efficiently managing O3 pollution. Nevertheless, accurately quantifying the impacts of these factors can be challenging due to their interconnections. To bridge this gap in knowledge, conducting a robust causality analysis becomes imperative to accurately quantify the causal influence of major factors. Furthermore, eliminating seasonal variations can improve the precision and accuracy of trend analyses concerning long-term changes in O3 concentrations. Deep learning, in particular, holds significant advantages in predicting O3 concentrations as it can capture non-linear and long-term memory characteristics effectively. In summary, attaining acceptable O3 levels in Taiwan is challenging due to its geographical location, which makes it susceptible to air pollution from both local sources as well as distant upwind areas. The utilization of advanced methods is essential for comprehensively studying the evolution of O3 and formulating effective mitigation measures. While there is a necessity to develop new analytical methods, implementing existing robust methodologies can also provide valuable insights into the dynamics and impacts of O3. By leveraging these approaches, we can enhance our comprehension of O3 pollution in Taiwan and develop effective strategies to mitigate its harmful effects on air quality.

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Spatial variations of nutrient and trace metal concentrations in macroalgae across blue carbon habitats of the Saudi Arabian Red Sea

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science of the Total Environment 2024年 956卷 177197页

作者： Cai, Chunzhi Anton, Andrea Duarte, Carlos M. Agusti, Susana Ocean College Zhejiang University Zhoushan316000 China Ocean Research Center of Zhoushan Zhejiang University Zhoushan316021 China Marine Science Program Biological and Environmental Science and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Mediterranean Institute for Advanced Studies Illes Balears Esporles07190 Spain

Macroalgae play a crucial role in blue carbon ecosystems, yet their elemental compositions in the Red Sea are not well documented. This study examined the concentrations of 22 elements in 161 macroalgae blade samples from 19 species (5 unidentified) across 3 phyla in the Saudi Arabian Red Sea. Macroalgae blades collected from coral reef habitats exhibited higher concentrations of K, As, and Sr compared to those from seagrass meadows, but had lower levels of total nitrogen (TN), Na, Mg, Al, P, S, Cr, Mn, Fe, and Zn. These differences may be attributed to the limited or absent sediment in coral reef habitats, as sediment in seagrass meadows acts as a trap for heavy metals, influencing element accumulation. In the Southern Red Sea, macroalgae blades showed lower Sr levels but higher total organic carbon (TOC), TN, P, and Cd than those in the North, a trend influenced by nutrient inflows from the Indian Ocean and the semi-enclosed structure of the Red Sea. The study found that macroalgae blades had lower mean TOC and TN content than seagrass and mangrove leaves from the same research cruises but higher levels of Al, Cr, Ni, Cu, Zn, As, Mo, Cd, and Pb. Among the surveyed red, green, and brown macroalgae blades, Halymenia sp., Caulerpa taxifolia, and Dictyota sp. had the highest TOC, TN, and P contents, while Amphiroa fragilissima, Udotea flabellum, and Padina sp. had higher trace metal contents. Notably, some macroalgae blades, including red macroalgae A. fragilissima, green macroalgae Halimeda tuna, U. flabellum, and brown macroalgae Padina pavonica, Turbinaria ornata, collected from Al Birk, Al Lith, Thuwal, Yanbu, and Al Wajh exhibited concerning levels of Cr (~10.9 mg kg−1) and Ni (~27.2 mg kg−1), surpassing toxicity thresholds. These findings emphasize the urgent need for effective pollution mitigation measures to protect these marine ecosystems. © 2024 Elsevier B.V.

关键词： Heavy metals

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The Effects of Calcium Carbonate on Sodium Metasilicate-Activated Metakaolin-Based Geopolymer Pastes

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SSRN 2024年

作者： Ren, Jie Dowdy, Nicolas D. Acarturk, B. Cansu Srubar, Wil V. Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1111 Engineering Drive ECOT 441 UCB 428 BoulderCO80309 United States Materials Science and Engineering Program University of Colorado Boulder 4001 Discovery Drive BoulderCO80303 United States College of Civil Engineering

关键词： Calcium carbonate

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Simulation of Illipe Butter Purification Originated from West Kalimantan by SuperPro Designer 3

Simulation of Illipe Butter Purification Originated from Wes...

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3rd Borneo International Conference on Applied Mathematics and engineering 2020, BICAME 2020

作者： Ramadhani, Nurul Hikmah Darmawan, Muhammad Arif Perdana Harahap, Andre Fahriz Arya Ramadhan, Muhammad Yusuf Silalahi, Ursula Chriseva Gozan, Misri Bioprocess Engineering Program Department of Chemical Engineering Faculty of Engineering Universitas Indonesia Depok16424 Indonesia School of Environmental Science Universitas Indonesia Jl. Salemba Raya No.4 Jakarta10430 Indonesia

Tengkawang is one of the commodities of non-timber forest products which has been a life of support for people around the forest. Seeds produced by Tengkawang trees are one of the export commodities. However, unfortunately, the process of exporting Tengkawang seeds abroad often requires a long time to reduce the quality of the Tengkawang seeds. Processing of Tengkawang seeds into oil is asolution to the decline in quality of Tengkawang seeds. Like standard crude vegetable oil, Tengkawang oil also contains impurities. Therefore, a purification process to remove these impurities is needed. This research was conducted to produce purified Tengkawang fat optimally. Purification stagesinclude degumming, neutralization and bleaching. This research will focus on the simulation of purified Tengkawang fat production. In this case, the simulation is carried out as an estimator of the feasibility value roughly whether a fat purification plant can be realized or not. © Publishedunder licence by IOP Publishing Ltd.

关键词： Purification

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Influence of conformational change of chain unit on the intrinsic negative thermal expansion of polymers

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Chinese Chemical Letters 2021年第4期32卷 1515-1518页

作者： Qiangsheng Sun Ke Jin Yuhui Huang Jia Guo Thanyada Rungrotmongkol Phornphimon Maitarad Changchun Wang State Key Laboratory of Molecular Engineering of Polymers and Department of Macromolecular Science Fudan UniversityShanghai 200433.China Biocatalyst and Environmental Biotechnology Research Unit Department of BiochemistryFaculty of Science and Program in Bioinformatics and Computational BiologyGraduate SchoolChulalongkom UniversityBangkok 10330Thailand Research Center of Nano Science and Technology Shanghai UniversityShanghai 200444China

Negative thermal expansion(NTE) behavior has roused wide interest for the control of thermomechanical properties of functional *** NTE behaviors have been found in kinds of compounds,it remains challenging for polymers to achieve intrinsic NTE *** this work,we systematically studied the conformational change of dibenzocyclooctadiene(DBCOD) derivatives between chair(C) and twist-boat(TB) forms based on density-functional theo ry(DFT) calculations,and found clear evidence of the relationship between the structure of DBCOD units and the thermal contraction behavior of the related *** order to obtain the polymer with NTE property,two conditions should be met for the thermal contracting DBCOD related units as follows:(i) the TB conformation can turn into C conformation as the temperature increases,and(ii) the volume of C conformation is smaller than that of TB *** rule should offer a guidance to exploration of the new intrinsic NTE polymers in the future.

关键词： Negative thermal expansion Conformational change Polyarylamides Density-functional theory Dibenzocyclooctadiene

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Prioritization of key indicators for the classification of successional stages in regenerating subtropical Atlantic forest, Southern Brazil: a proposal based on multivariate order statistics

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Environment Systems and Decisions 2023年第2期43卷 232-241页

作者： Bressane, Adriano Siminski, Alexandre Gomes, Isadora Gurjon Melo, Carrie Peres da Rosa, Graziele Coraline Scofano dos Santos Galvão, Amanda Louisi Silva, Mirela Beatriz de Castro Medeiros, Líliam César Negri, Rogério Galante Institute of Science and Technology (ICT) Environmental Engineering Department Campus at São José dos Campos City Rodovia Presidente Dutra Km 1378—Eugênio de Melo12247-004 CEP São José Dos Campos/SP Brazil Agricultural and Natural Ecosystems Graduate Program Federal University of Santa Catarina (UFSC) Campus at Curitibanus City Rod. Ulysses Gaboardi km 3 CEP Curitibanos - SC 89520-000 Brazil Civil and Environmental Engineering Graduate Program São Paulo State University (UNESP) Campus at Bauru City Av. Eng. Luiz Edmundo C. Coube 14-01—Vargem Limpa CEP Bauru—SP/SP 17033-360 Brazil

Statement of problem. Brazilian guidelines establish a set of parameters to classify forest regeneration stages, but there are no criteria or evidence for prioritizing key indicators. Purpose. This study performed a comparative analysis between phytosociological parameters to verify the hypothesis that there is a difference in their explanatory power of the forest regeneration stages. Consequently, it shows the need to prioritize key indicators for classifying forest regeneration stages. Material and methods. The analyzes were carried out using a database of the Floristic Forest Inventory of Santa Catarina, Southern Brazil, composed of 177 sampling units of subtropical Atlantic forest (Mixed Ombrophilous Forest) characterized according to 12 quantitative and qualitative phytosociological parameters. Several statistical tests were performed to analyze the explanatory ability of the phytosociological parameters. Such process includes tests for multivariate ordering, principal component analysis (PCA), discriminant analysis (FDA and QDA), exploratory factor analysis (EFA), and multiple correspondence analysis (MCA). Afterward, is provided a ranking regarding the analyzed indicators based on their usefulness to separate forest regeneration stages, measured in terms of classification accuracy according to the QUEST (Quick Unbiased Efficient Statistical) algorithm. The hypothesis was verified with two-way tests at a significance level (α) equal to 0.05, for a test power (1-β) of 0.8 and a minimum detectable effect of medium size (ρ = 0.3). Results. Statistical significance tests confirmed the research hypothesis. Regarding both the qualitative and quantitative variables, the ranking resulting from the discriminant analysis provided the best accuracy (85.3%). In decreasing priority order, was defined the following parameter order: basal area, number of individuals and species, Shannon diversity index, diameter at breast height, total height, stem height, leaf litter, canop

关键词： Ombrophilous forest Prioritization of indicators Succession stage

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Effects of nanopores and sulfur doping on hierarchically bunched carbon fibers to protect lithium metal anode

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Carbon Energy 2021年第5期3卷 784-794页

作者： Ji In Jung Sunwoo Park Son Ha Se Youn Cho Hyoung-Joon Jin Young Soo Yun Program in Environmental and Polymer Engineering Inha UniversityIncheonSouth Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoulSouth Korea Carbon Composite Materials Research Center Korea Institute of Science and TechnologyWanju-gunJeollabuk-doSouth Korea Department of Polymer Science and Engineering Inha UniversityIncheonSouth Korea Department of Integrative Energy Engineering Korea UniversitySeoulSouth Korea

Studies on three-dimensional structured carbon templates have focused on how to guide homogeneous lithium metal nucleation and growth for lithium metal anodes(LMAs).However,there is still insufficient evidence for a key factor to achieve their high electrochemical ***,the effects of nanopores and sulfur doping on carbon-based nanoporous host(CNH)electrode materials for LMAs were investigated using natural polymer-derived *** pore-filling behaviors of lithium metal in the nanopores of the CNH electrode materials were first observed by ex situ scanning electron microscopy analysis,where the protective lithium metal nucleation and growth process led to significantly high Coulombic efficiency(CE)of~99.4%and stable 600 *** addition,a comparison study of CNH and sulfurdoped CNH(S-CNH)electrodes,which differ only in the presence or absence of sulfur,revealed that sulfur doping can cause lower electrochemical series resistance,higher CE value,and better cycling stability in a wide range of current densities and number of ***,S-CNH-based LMAs showed high electrochemical performance in full-cell Li-S battery tests using a sulfur copolymer cathode,where a high energy density of 1370Wh kgelectrode−1 and an excellent power density of 4120Wkgelectrode−1 were obtained.

关键词： carbon template Li-S batteries lithium metal anode lithium metal batteries nanoporous carbon sulfur doping

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Anchorene,a carotenoid-derived growth regulator,modulates auxin homeostasis by suppressing GH3-mediated auxin conjugation

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Journal of Integrative Plant Biology 2024年第11期66卷 2490-2504页

作者： Danping Ke Yinpeng Xie Haipeng Li Liqun Hu Yi He Chao Guo Yahui Zhai Jinggong Guo Kun Li Zongyan Chu Junli Zhang Xuebin Zhang Salim Al-Babili Kai Jiang Yuchen Miao Kun-Peng Jia National Key Laboratory of Cotton Bio-breeding and Integrated Utilization State Key Laboratory of Crop Stress Adaptation and ImprovementHenan Joint International Laboratory for Crop Multi-Omics ResearchSchool of Life SciencesHenan UniversityKaifeng 450046China Sanya Institute of Henan University Sanya 572025China State Key Laboratory for Crop Stress Resistance and High-Eﬁciency Production/Shaanxi Key Laboratory of Apple College of HorticultureNorthwest A&F UniversityYangling 712100China Institute of Plant and Food Science Department of BiologySchool of Life SciencesSouthern University of Science and Technology(SUSTech)Shenzhen 518055China The BioActives Lab Center for Desert AgricultureKing Abdullah University of Science and TechnologyThuwal 23955-6900Kingdom of Saudi Arabia Plant Science Program Biological and Environmental Science and Engineering(BESE)DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Laboratory of Cell Metabolism and Diseases State Key Laboratory of Conservation and Utilization of Bio-Resources in YunnanCenter for Life SciencesSchool of Life SciencesYunnan UniversityKunming 650500China

Anchorene,identified as an endogenous bioactive carotenoid-derived dialdehyde and diapocarotenoid,affects root development by modulating auxin ***,the precise interaction between anchorene and auxin,as well as the mechanisms by which anchorene modulates auxin levels,remain largely *** this study,we conducted a comparative analysis of anchorene's bioactivities alongside auxin and observed that anchorene induces multifaceted auxin-like *** genetic and pharmacological examinations,we revealed that anchorene's auxin-like activities depend on the indole-3-pyruvate-dependent auxin biosynthesis pathway,as well as the auxin inactivation pathway mediated by Group II Gretchen Hagen 3(GH3)proteins that mainly facilitate the conjugation of indole-3-acetic acid(IAA)to amino acids,leading to the formation of inactivated storage *** measurements indicated that anchorene treatment elevates IAA levels while reducing the quantities of inactivated IAA–amino acid conjugates and ox *** sequencing further revealed that anchorene triggers the expression of numerous auxin-responsive genes in a manner reliant on Group II ***,our in vitro enzymatic assays and biolayer interferometry(BLI)assay demonstrated anchorene's robust suppression of GH3.17-mediated IAA conjugation with ***,our findings highlight the significant role of carotenoid-derived metabolite anchorene in modulating auxin homeostasis,primarily through the repression of GH3-mediated IAA conjugation and inactivation pathways,offering novel insights into the regulatory mechanisms of plant bioactive apocarotenoids.

关键词： Anchorene auxin conjugation carotenoid-derived bioactive apocarotenoid Gretchen Hagen 3 root development

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