一、INSTITUTE OF ROCK AND MINERAL ANALYSIS——ACHIEVEMENTS OF RESEARCH（论文文献综述）
Claudete Gindri Ramos,James C.Hower,Erika Blanco,Marcos Leandro Silva Oliveira,Suzi Huff Theodoro[1]（2022）在《Possibilities of using silicate rock powder: An overview》文中指出This study evaluates the on use of crushed rocks（remineralizers） to increase soil fertility levels and which contributed to increase agricultural productivity, recovery of degraded areas, decontamination of water, and carbon sequestration. The use of these geological materials is part of the assumptions of rock technology and, indirectly,facilitates the achievement of sustainable development goals related to soil management, climate change, and the preservation of water resources. Research over the past 50 years on silicate rocks focused on soil fertility management and agricultural productivity. More recently, the combined use with microorganisms and organic correctives have shown positive results to mitigate soil degradation; to expand carbon sequestration and storage;and to contribute to the adsorption of contaminants from water and soil. In this article we show results obtained in several countries and we show that this technology can contribute to the sustainability of agriculture, as well as to reverse global warming. Although mineral nutrients are released more slowly from these types of inputs, they remain in the soil for a longer time, stimulating the soil biota. In addition, they are a technology to soluble synthetic fertilizers replace, since the few nutrients derived from such inputs not consumed by plants are lost by leaching, contaminating groundwater and water resources. In addition, conventional methods rely heavily on chemical pesticides which cause damage to soil’s microfauna（responsible for the decomposition of organic matter and nutrient cycling） and the loss of organic carbon（in the form of dioxide）, which is quickly dispersed in the atmosphere. Silicate rock powders are applied in natura, have long-lasting residual effects and reduce greenhouse gas emissions.
ZHAO Fei-fei,HE Man-chao,WANG Yun-tao,TAO Zhi-gang,LI Chun[2]（2022）在《Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China》文中进行了进一步梳理High-intensity and large-scale resource development seriously threatens the fragile ecological environment in the red soil hilly region in southern China. This paper analyzes the eco-geological environmental problems and factors affecting Ganzhou, a mining city in the red soil hilly region,based on field survey and literature. The ecogeological environment quality（EGEQ） assessment system, which covered 11 indicators in physical geography, mining development, geological hazards,as well as water and soil pollution, was established through multi-source data utilization such as remote sensing images, DEM（Digital Elevation Model）, field survey and on-site monitoring data. The comprehensive weight of each indicator was calculated through the Analytic Hierarchy Process（AHP） and entropy method. The eco-geological environment assessment map was developed by calculating the EGEQ value through the linear weighted method. The assessment results show that the EGEQ was classified into I-V grades from excellent to worse, among which, EGEQ of I-II accounted for 29.88%, EGEQ of III accounted for 32.35% and EGEQ of IV-V accounted for 37.77%; the overall EGEQ of Ganzhou was moderate. The assessment system utilized in this research provides scientific and accurate results, which in turn enable the proposal of some tangible protection suggestions.
Debasis MITRA,Rittick MONDAL,Bahman KHOSHRU,Ansuman SENAPATI,T. K. RADHA,Bhaswatimayee MAHAKUR,Navendra UNIYAL,Ei Mon MYO,Hanane BOUTAJ,Beatriz Elena GUERRA SIERRA,Periyasamy PANNEERSELVAM,Arakalagud Nanjundaiah GANESHAMURTHY,Sne?ana ANDELKOVI?,Tanja VASI?,Anju RANI,Subhadeep DUTTA,Pradeep K. DAS MOHAPATRA[3]（2022）在《Actinobacteria-enhanced plant growth, nutrient acquisition, and crop protection:Advances in soil, plant, and microbial multifactorial interactions》文中进行了进一步梳理Agricultural areas of land are deteriorating every day owing to population increase, rapid urbanization, and industrialization. To feed today’s huge populations, increased crop production is required from smaller areas, which warrants the continuous application of high doses of inorganic fertilizers to agricultural land. These cause damage to soil health and, therefore, nutrient imbalance conditions in arable soils. Under these conditions, the benefits of microbial inoculants （such as Actinobacteria） as replacements for harmful chemicals and promoting ecofriendly sustainable farming practices have been made clear through recent technological advances. There are multifunctional traits involved in the production of different types of bioactive compounds responsible for plant growth promotion, and the biocontrol of phytopathogens has reduced the use of chemical fertilizers and pesticides. There are some well-known groups of nitrogen-fixing Actinobacteria, such as Frankia, which undergo mutualism with plants and offer enhanced symbiotic trade-offs.In addition to nitrogen fixation, increasing availability of major plant nutrients in soil due to the solubilization of immobilized forms of phosphorus and potassium compounds, production of phytohormones, such as indole-3-acetic acid, indole-3-pyruvic acid, gibberellins, and cytokinins, improving organic matter decomposition by releasing cellulases, xylanase, glucanases, lipases, and proteases, and suppression of soil-borne pathogens by the production of siderophores, ammonia, hydrogen cyanide, and chitinase are important features of Actinobacteria useful for combating biotic and abiotic stresses in plants.The positive influence of Actinobacteria on soil fertility and plant health has motivated us to compile this review of important findings associated with sustaining plant productivity in the long run.
Ming-chun Song,Zheng-jiang Ding,Jun-jin Zhang,Ying-xin Song,Jun-wei Bo,Yu-qun Wang,Hong-bo Liu,Shi-yong Li,Jie Li,Rui-xiang Li,Bin Wang,Xiang-dong Liu,Liang-liang Zhang,Lei-lei Dong,Jian Li,Chun-yan He[4]（2021）在《Geology and mineralization of the Sanshandao supergiant gold deposit（1200 t） in the Jiaodong Peninsula, China: A review》文中认为The Jiaodong Peninsula in Shandong Province, China is the world’s third-largest gold metallogenic area,with cumulative proven gold resources exceeding 5000 t. Over the past few years, breakthroughs have been made in deep prospecting at a depth of 500-2000 m, particularly in the Sanshandao area where a huge deep gold orebody was identified. Based on previous studies and the latest prospecting progress achieved by the project team of this study, the following results are summarized.（1） 3D geological modeling results based on deep drilling core data reveal that the Sanshandao gold orefield, which was previously considered to consist of several independent deposits, is a supergiant deposit with gold resources of more than 1200 t（including 470 t under the sea area）. The length of the major orebody is nearly 8 km, with a greatest depth of 2312 m below sea level and a maximum length of more than 3 km along their dip direction.（2） Thick gold orebodies in the Sanshandao gold deposit mainly occur in the specific sections of the ore-controlling fault where the fault plane changes from steeply to gently inclined,forming a stepped metallogenic model from shallow to deep level. The reason for this strong structural control on mineralization forms is that when ore-forming fluids migrated along faults, the pressure of fluids greatly fluctuated in fault sections where the fault dip angle changed. Since the solubility of gold in the ore-forming fluid is sensitive to fluid pressure, these sections along the fault plane serve as the target areas for deep prospecting.（3） Thermal uplifting-extensional structures provide thermodynamic conditions, migration pathways, and deposition spaces for gold mineralization. Meanwhile, the changes in mantle properties induced the transformation of the geochemical properties of the lower crust and magmatic rocks. This further led to the reactivation of ore-forming elements, which provided rich materials for gold mineralization.（4） It can be concluded from previous research results that the gold mineralization in the Jiaodong gold deposits occurred at about 120 Ma, which was superimposed by nonferrous metals mineralization at 118-111 Ma. The fluids were dominated by primary mantle water or magmatic water. Metamorphic water occurred in the early stage of the gold mineralization, while the fluid composition was dominated by meteoric water in the late stage. The S, Pb, and Sr isotopic compositions of the ores are similar to those of ore-hosting rocks, indicating that the ore-forming materials mainly derive from crustal materials, with the minor addition of mantle-derived materials. The gold deposits in the Jiaodong Peninsula were formed in an extensional tectonic environment during the transformation of the physical and chemical properties of the lithospheric mantle, which is different from typical orogenic gold deposits. Thus, it is proposed that they are named "Jiaodong-type" gold deposits.
JTTE Editorial Office,Jiaqi Chen,Hancheng Dan,Yongjie Ding,Yangming Gao,Meng Guo,Shuaicheng Guo,Bingye Han,Bin Hong,Yue Hou,Chichun Hu,Jing Hu,Ju Huyan,Jiwang Jiang,Wei Jiang,Cheng Li,Pengfei Liu,Yu Liu,Zhuangzhuang Liu,Guoyang Lu,Jian Ouyang,Xin Qu,Dongya Ren,Chao Wang,Chaohui Wang,Dawei Wang,Di Wang,Hainian Wang,Haopeng Wang,Yue Xiao,Chao Xing,Huining Xu,Yu Yan,Xu Yang,Lingyun You,Zhanping You,Bin Yu,Huayang Yu,Huanan Yu,Henglong Zhang,Jizhe Zhang,Changhong Zhou,Changjun Zhou,Xingyi Zhu[5]（2021）在《New innovations in pavement materials and engineering:A review on pavement engineering research 2021》文中研究表明Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges. In the past 10 years, the pavement infrastructure strongly supports the rapid development of the global social economy. New theories, new methods,new technologies and new materials related to pavement engineering are emerging.Deterioration of pavement infrastructure is a typical multi-physics problem. Because of actual coupled behaviors of traffic and environmental conditions, predictions of pavement service life become more and more complicated and require a deep knowledge of pavement material analysis. In order to summarize the current and determine the future research of pavement engineering, Journal of Traffic and Transportation Engineering（English Edition） has launched a review paper on the topic of "New innovations in pavement materials and engineering: A review on pavement engineering research 2021". Based on the joint-effort of 43 scholars from 24 well-known universities in highway engineering, this review paper systematically analyzes the research status and future development direction of 5 major fields of pavement engineering in the world. The content includes asphalt binder performance and modeling, mixture performance and modeling of pavement materials,multi-scale mechanics, green and sustainable pavement, and intelligent pavement.Overall, this review paper is able to provide references and insights for researchers and engineers in the field of pavement engineering.
Rongzhi Chen,Yiwen Deng,Yanglin Ding,Jingxin Guo,Jie Qiu,Bing Wang,Changsheng Wang,Yongyao Xie,Zhihua Zhang,Jiaxin Chen,Letian Chen,Chengcai Chu,Guangcun He,Zuhua He,Xuehui Huang,Yongzhong Xing,Shuhua Yang,Daoxin Xie,Yaoguang Liu,Jiayang Li[6]（2022）在《Rice functional genomics: decades’ efforts and roads ahead》文中研究指明Rice（Oryza sativa L.） is one of the most important crops in the world. Since the completion of rice reference genome sequences,tremendous progress has been achieved in understanding the molecular mechanisms on various rice traits and dissecting the underlying regulatory networks. In this review, we summarize the research progress of rice biology over past decades, including omics, genome-wide association study, phytohormone action, nutrient use, biotic and abiotic responses, photoperiodic flowering,and reproductive development（fertility and sterility）. For the roads ahead, cutting-edge technologies such as new genomics methods, high-throughput phenotyping platforms, precise genome-editing tools, environmental microbiome optimization, and synthetic methods will further extend our understanding of unsolved molecular biology questions in rice, and facilitate integrations of the knowledge for agricultural applications.
李鹏,蔡美峰[7]（2021）在《深部金属矿产资源开发面临的挑战及新见解（英文）》文中指出长期持续的大规模开采使浅部金属矿产资源日益枯竭,深部开采已成为必然。介绍了当前全球金属矿产资源深部开采现状,系统梳理深部开采面临的一系列工程挑战,重点探讨在岩爆预测与防控、深井降温制冷技术、围岩支护技术、深井提升技术及一些非传统深部开采技术等关键工程技术方面取得的一些进展和未来创新重点。同时,对深部开采技术发展战略提出一些新的见解。这些前瞻性关键创新技术的集成,将形成金属矿深部开采创新技术体系的整体框架。该技术体系将有助于实现深部金属矿产资源的安全、高效、绿色开采,保障金属矿业的可持续发展。
刘建坡,司英涛,魏登铖,师宏旭,王人[8]（2021）在《中国地下金属矿山微震监测技术应用进展及展望（英文）》文中进行了进一步梳理微震监测技术已经成为我国地下金属矿山岩体安全风险管理的重要技术手段。我国金属矿具有构造应力大、矿体形态不规则、矿体赋存条件多样、生产工序复杂的特点,相对于国外矿山及其他地下工程领域,微震监测技术在我国地下金属矿山的应用具有多样性。本文系统总结了我国地下金属矿山微震监测应用现状、应用领域及取得的相关成果,覆盖地压灾害监测与安全风险评估、回采参数优化、岩体破裂机制、采空区稳定性监测、断层滑动风险评估、矿山救援人员定位、民采盗采监测及水害造成的岩体稳定性监测等方面。此外,结合我国金属矿山开采领域信息化、无人化、智能化的发展需求,提出了我国微震监测技术在信号智能识别及精确定位算法、设备自主研发、与其他开采扰动岩体响应信息协同分析和地压灾害风险评估应用等方面的信息化、智能化发展方向。
郭春丽,刘泽坤[9]（2021）在《华南地区加里东期花岗岩：成岩和成矿作用的地质与地球化学特征》文中研究说明自20世纪50年代江西龙回和陡水岩体被发现,至今华南地区已经有160多个花岗质岩体被确认形成于加里东期（主要包含奥陶纪、志留纪和泥盆纪）,其中只有14个岩体与金属矿（以钨矿为主,含少量钼、铜、锡和金矿）有成因关系,11个岩体与稀土矿有成因关系。前人对加里东期花岗岩特征的归纳主要集中在岩石学、地球化学和构造动力学等方面,而极少对该期成矿作用进行系统总结。通过搜集和整理已公开发表的280篇学术论文和学位论文中的800个成岩和成矿年龄,1 248个样品的全岩主量、微量元素数据,428个样品的全岩Sr-Nd同位素数据和2 352个测试点的锆石Lu-Hf同位素数据,从以下4个方面对加里东期花岗岩的含矿性特征进行了梳理:（1）岩浆活动与金属成矿的年龄峰值均集中在440～420 Ma;（2）成金属矿的花岗岩主要分布于大瑶山和桂北—桂东北地区,虽然都是以钨矿为主的岩石,但是这两个地区花岗岩的源区物质和分异程度均具有差异性;（3）成稀土矿的花岗岩主要分布于武夷和南岭地区,前者大多数发生了变质作用,而后者以块状构造为主;（4）与奥陶纪和泥盆纪花岗岩相比,志留纪花岗岩的分布面积最广,岩性最宽泛,物质来源也最为复杂。
吴昌志,贾力,雷如雄,陈博洋,丰志杰,凤永刚,智俊,白世恒[10]（2021）在《中亚造山带天河石花岗岩及相关铷矿床的主要特征与研究进展》文中指出铷是重要的"关键金属"矿产资源,是未来各国资源争夺的焦点。虽然我国铷矿资源总量丰富,但主要为低品位难以加工利用的花岗岩型铷矿床,而以铁锂云母、锂云母和铯沸石等作为矿石矿物的高品位易加工花岗伟晶岩型铷矿床非常有限。因此,富铷花岗岩及相关铷矿床的形成过程、元素分异机制以及铷在不同矿物相中的赋存状态和控制因素是铷矿床成矿机制研究和找矿工作的关键。本文在对花岗（伟晶）岩铷矿主要研究进展进行综述的基础上,简介中亚造山带东、西段典型天河石花岗岩及相关铷等稀有金属矿床的主要特征和时空分布,并对未来研究重点进行了展望。本文认为,中亚造山带是全球最重要的天河石花岗岩和相关稀有金属矿床成矿域,其西段大量发育三叠纪天河石花岗岩,而东段大量发育晚侏罗至早白垩世天河石花岗岩。两者形成时代和构造背景分别与古亚洲洋向古特提斯洋构造域,以及古亚洲洋向古太平洋构造域的巨大转折相对应,铷等稀有金属成矿潜力巨大,值得开展深入的年代学、岩石学和矿床成因研究。
二、INSTITUTE OF ROCK AND MINERAL ANALYSIS——ACHIEVEMENTS OF RESEARCH（论文开题报告）
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三、INSTITUTE OF ROCK AND MINERAL ANALYSIS——ACHIEVEMENTS OF RESEARCH（论文提纲范文）
（3）Actinobacteria-enhanced plant growth, nutrient acquisition, and crop protection:Advances in soil, plant, and microbial multifactorial interactions（论文提纲范文）
| INTRODUCTION |
| TAXONOMY AND PHYSIOLOGY OF ACTINOBAC-TERIA AND THEIR ROLES IN SUSTAINABLE AGRI-CULTURE |
| ACTINOBACTERIA AS BIOCONTROL AGENTS FOR PLANT PROTECTION |
| PGP TRAITS AND PLANT PROTECTION ABILITIES OF ACTINOBACTERIA |
| Beneficial effects on rhizosphere |
| Nitrogen fixation |
| Phosphate solubilization |
| Phytohormone and siderophore production |
| 1-Aminocyclopropane-1-carboxylate (ACC) deaminase activity |
| Enzyme and metabolite and antibiotic production |
| ROLES OF ACTINOBACTERIA IN REGULATION OF PLANT STRESS,SOIL HEALTH,AND NUTRIENT MOBILIZATION |
| IMPROVEMENT OF PLANT RESIDUE DECOMPOSI-TION |
| IMPACTS OF FARMING PRACTICES ON ACTINO-BACTERIA DIVERSITY IN SOIL |
| CONCLUSIONS AND PROSPECTS AND CHALLENGES FOR THE FUTURE |
| CONTRIBUTION OF AUTHORS |
（5）New innovations in pavement materials and engineering:A review on pavement engineering research 2021（论文提纲范文）
| 1. Introduction |
| (1) With the society development pavement engineering facing unprecedented opportunities and challenges |
| (2) With the modern education development pavement engineering facing unprecedented accumulation of scientific manpower and literature |
| 2. Asphalt binder performance and modeling |
| 2.1. Binder damage,healing and aging behaviors |
| 2.1.1. Binder healing characterization and performance |
| 2.1.1. 1. Characterizing approaches for binder healing behavior. |
| 2.1.1. 2. Various factors influencing binder healing performance. |
| 2.1.2. Asphalt aging:mechanism,evaluation and control strategy |
| 2.1.2. 1. Phenomena and mechanisms of asphalt aging. |
| 2.1.2. 2. Simulation methods of asphalt aging. |
| 2.1.2. 3. Characterizing approaches for asphalt aging behavior. |
| 2.1.2. 4. Anti-aging additives used for controlling asphalt aging. |
| 2.1.3. Damage in the characterization of binder cracking performance |
| 2.1.3. 1. Damage characterization based on rheological properties. |
| 2.1.3. 2. Damage characterization based on fracture properties. |
| 2.1.4. Summary and outlook |
| 2.2. Mechanism of asphalt modification |
| 2.2.1. Development of polymer modified asphalt |
| 2.2.1. 1. Strength formation of modified asphalt. |
| 2.2.1. 2. Modification mechanism by molecular dynamics simulation. |
| 2.2.1. 3. The relationship between microstructure and properties of asphalt. |
| 2.2.2. Application of the MD simulation |
| 2.2.2. 1. Molecular model of asphalt. |
| 2.2.2. 2. Molecular configuration of asphalt. |
| 2.2.2. 3. Self-healing behaviour. |
| 2.2.2. 4. Aging mechanism. |
| 2.2.2. 5. Adhesion mechanism. |
| 2.2.2. 6. Diffusion behaviour. |
| 2.2.3. Summary and outlook |
| 2.3. Modeling and application of crumb rubber modified asphalt |
| 2.3.1. Modeling and mechanism of rubberized asphalt |
| 2.3.1. 1. Rheology of bituminous binders. |
| 2.3.1. 2. Rheological property prediction of CRMA. |
| 2.3.2. Micromechanics-based modeling of rheological properties of CRMA |
| 2.3.2. 1. Composite system of CRMA based on homogenization theory. |
| 2.3.2. 2. Input parameters for micromechanical models of CRMA. |
| 2.3.2. 3. Analytical form of micromechanical models of CRMA. |
| 2.3.2. 4. Future recommendations for improving micro-mechanical prediction performance. |
| 2.3.3. Design and performance of rubberized asphalt |
| 2.3.3. 1. The interaction between rubber and asphalt fractions. |
| 2.3.3. 2. Engineering performance of rubberized asphalt. |
| 2.3.3. 3. Mixture design. |
| 2.3.3. 4. Warm mix rubberized asphalt. |
| 2.3.3. 5. Reclaiming potential of rubberized asphalt pavement. |
| 2.3.4. Economic and Environmental Effects |
| 2.3.5. Summary and outlook |
| 3. Mixture performance and modeling of pavement materials |
| 3.1. The low temperature performance and freeze-thaw damage of asphalt mixture |
| 3.1.1. Low temperature performance of asphalt mixture |
| 3.1.1. 1. Low temperature cracking mechanisms. |
| 3.1.1. 2. Experimental methods to evaluate the low temperature performance of asphalt binders. |
| 3.1.1. 3. Experimental methods to evaluate the low temperature performance of asphalt mixtures. |
| 3.1.1. 4. Low temperature behavior of asphalt materials. |
| 3.1.1.5.Effect factors of low temperature performance of asphalt mixture. |
| 3.1.1. 6. Improvement of low temperature performance of asphalt mixture. |
| 3.1.2. Freeze-thaw damage of asphalt mixtures |
| 3.1.2. 1. F-T damage mechanisms. |
| 3.1.2. 2. Evaluation method of F-T damage. |
| 3.1.2. 3. F-T damage behavior of asphalt mixture. |
| (1) Evolution of F-T damage of asphalt mixture |
| (2) F-T damage evolution model of asphalt mixture |
| (3) Distribution and development of asphalt mixture F-T damage |
| 3.1.2. 4. Effect factors of freeze thaw performance of asphalt mixture. |
| 3.1.2. 5. Improvement of freeze thaw resistance of asphalt mixture. |
| 3.1.3. Summary and outlook |
| 3.2. Long-life rigid pavement and concrete durability |
| 3.2.1. Long-life cement concrete pavement |
| 3.2.1. 1. Continuous reinforced concrete pavement. |
| 3.2.1. 2. Fiber reinforced concrete pavement. |
| 3.2.1. 3. Two-lift concrete pavement. |
| 3.2.2. Design,construction and performance of CRCP |
| 3.2.2. 1. CRCP distress and its mechanism. |
| 3.2.2. 2. The importance of crack pattern on CRCP performance. |
| 3.2.2. 3. Corrosion of longitudinal steel. |
| 3.2.2. 4. AC+CRCP composite pavement. |
| 3.2.2. 5. CRCP maintenance and rehabilitation. |
| 3.2.3. Durability of the cementitious materials in concrete pavement |
| 3.2.3. 1. Deterioration mechanism of sulfate attack and its in-fluence on concrete pavement. |
| 3.2.3. 2. Development of alkali-aggregate reaction in concrete pavement. |
| 3.2.3. 3. Influence of freeze-thaw cycles on concrete pavement. |
| 3.2.4. Summary and outlook |
| 3.3. Novel polymer pavement materials |
| 3.3.1. Designable PU material |
| 3.3.1. 1. PU binder. |
| 3.3.1.2.PU mixture. |
| 3.3.1. 3. Material genome design. |
| 3.3.2. Novel polymer bridge deck pavement material |
| 3.3.2. 1. Requirements for the bridge deck pavement material. |
| 3.3.2.2.Polyurethane bridge deck pavement material(PUBDPM). |
| 3.3.3. PU permeable pavement |
| 3.3.3. 1. Permeable pavement. |
| 3.3.3. 2. PU porous pavement materials. |
| 3.3.3. 3. Hydraulic properties of PU permeable pavement materials. |
| 3.3.3. 4. Mechanical properties of PU permeable pavement ma-terials. |
| 3.3.3. 5. Environmental advantages of PU permeable pavement materials. |
| 3.3.4. Polyurethane-based asphalt modifier |
| 3.3.4. 1. Chemical and genetic characteristics of bitumen and polyurethane-based modifier. |
| 3.3.4. 2. The performance and modification mechanism of polyurethane modified bitumen. |
| 3.3.4. 3. The performance of polyurethane modified asphalt mixture. |
| 3.3.4. 4. Environmental and economic assessment of poly-urethane modified asphalt. |
| 3.3.5. Summary and outlook |
| 3.4. Reinforcement materials for road base/subrgrade |
| 3.4.1. Flowable solidified fill |
| 3.4.1. 1. Material composition design. |
| 3.4.1. 2. Performance control. |
| 3.4.1. 3. Curing mechanism. |
| 3.4.1. 4. Construction applications. |
| 3.4.1.5.Environmental impact assessment. |
| 3.4.1. 6. Development prospects and challenges. |
| 3.4.2. Stabilization materials for problematic soil subgrades |
| 3.4.2.1.Stabilization materials for loess. |
| 3.4.2. 2. Stabilization materials for expansive soil. |
| 3.4.2. 3. Stabilization materials for saline soils. |
| 3.4.2. 4. Stabilization materials for soft soils. |
| 3.4.3. Geogrids in base course reinforcement |
| 3.4.3. 1. Assessment methods for evaluating geogrid reinforce-ment in flexible pavements. |
| (1) Reinforced granular material |
| (2) Reinforced granular base course |
| 3.4.3. 2. Summary. |
| 3.4.4. Summary and outlook |
| 4. Multi-scale mechanics |
| 4.1. Interface |
| 4.1.1. Multi-scale evaluation method of interfacial interaction between asphalt binder and mineral aggregate |
| 4.1.1. 1. Molecular dynamics simulation of asphalt adsorption behavior on mineral aggregate surface. |
| 4.1.1. 2. Experimental study on absorption behavior of asphalt on aggregate surface. |
| 4.1.1. 3. Research on evaluation method of interaction between asphalt and mineral powder. |
| (1) Rheological mechanical method |
| (2) Microscopic test |
| 4.1.1. 4. Study on evaluation method of interaction between asphalt and aggregate. |
| 4.1.2. Multi-scale numerical simulation method considering interface effect |
| 4.1.2. 1. Multi-scale effect of interface. |
| 4.1.2. 2. Study on performance of asphalt mixture based on micro nano scale testing technology. |
| 4.1.2. 3. Study on the interface between asphalt and aggregate based on molecular dynamics. |
| 4.1.2. 4. Study on performance of asphalt mixture based on meso-mechanics. |
| 4.1.2. 5. Mesoscopic numerical simulation test of asphalt mixture. |
| 4.1.3. Multi-scale investigation on interface deterioration |
| 4.1.4. Summary and outlook |
| 4.2. Multi-scales and numerical methods in pavement engineering |
| 4.2.1. Asphalt pavement multi-scale system |
| 4.2.1. 1. Multi-scale definitions from literatures. |
| 4.2.1. 2. A newly-proposed Asphalt Pavement Multi-scale System. |
| (1) Structure-scale |
| (2) Mixture-scale |
| (3) Material-scale |
| 4.2.1. 3. Research Ideas in the newly-proposed multi-scale sys- |
| 4.2.2. Multi-scale modeling methods |
| 4.2.2. 1. Density functional theory (DFT) calculations. |
| 4.2.2. 2. Molecular dynamics (MD) simulations. |
| 4.2.2. 3. Composite micromechanics methods. |
| 4.2.2. 4. Finite element method (FEM) simulations. |
| 4.2.2. 5. Discrete element method (DEM) simulations. |
| 4.2.3. Cross-scale modeling methods |
| 4.2.3. 1. Mechanism of cross-scale calculation. |
| 4.2.3. 2. Multi-scale FEM method. |
| 4.2.3. 3. FEM-DEM coupling method. |
| 4.2.3. 4. NMM family methods. |
| 4.2.4. Summary and outlook |
| 4.3. Pavement mechanics and analysis |
| 4.3.1. Constructive methods to pavement response analysis |
| 4.3.1. 1. Viscoelastic constructive models. |
| 4.3.1. 2. Anisotropy and its characterization. |
| 4.3.1. 3. Mathematical methods to asphalt pavement response. |
| 4.3.2. Finite element modeling for analyses of pavement mechanics |
| 4.3.2. 1. Geometrical dimension of the FE models. |
| 4.3.2. 2. Constitutive models of pavement materials. |
| 4.3.2. 3. Variability of material property along with different directions. |
| 4.3.2. 4. Loading patterns of FE models. |
| 4.3.2. 5. Interaction between adjacent pavement layers. |
| 4.3.3. Pavement mechanics test and parameter inversion |
| 4.3.3. 1. Nondestructive pavement modulus test. |
| 4.3.3. 2. Pavement structural parameters inversion method. |
| 4.3.4. Summary and outlook |
| 5. Green and sustainable pavement |
| 5.1. Functional pavement |
| 5.1.1. Energy harvesting function |
| 5.1.1. 1. Piezoelectric pavement. |
| 5.1.1. 2. Thermoelectric pavement. |
| 5.1.1. 3. Solar pavement. |
| 5.1.2. Pavement sensing function |
| 5.1.2. 1. Contact sensing device. |
| 5.1.2.2.Lidar based sensing technology. |
| 5.1.2. 3. Perception technology based on image/video stream. |
| 5.1.2. 4. Temperature sensing. |
| 5.1.2. 5. Traffic detection based on ontology perception. |
| 5.1.2. 6. Structural health monitoring based on ontology perception. |
| 5.1.3. Road adaptation and adjustment function |
| 5.1.3. 1. Radiation reflective pavement.Urban heat island effect refers to an increased temperature in urban areas compared to its surrounding rural areas (Fig.68). |
| 5.1.3. 2. Catalytical degradation of vehicle exhaust gases on pavement surface. |
| 5.1.3. 3. Self-healing pavement. |
| 5.1.4. Summary and outlook |
| 5.2. Renewable and sustainable pavement materials |
| 5.2.1. Reclaimed asphalt pavement |
| 5.2.1. 1. Hot recycled mixture technology. |
| 5.2.1. 2. Warm recycled mix asphalt technology. |
| 5.2.1. 3. Cold recycled mixture technology. |
| (1) Strength and performance of cold recycled mixture with asphalt emulsion |
| (2) Variability analysis of asphalt emulsion |
| (3) Future prospect of cold recycled mixture with asphalt emulsion |
| 5.2.2. Solid waste recycling in pavement |
| 5.2.2. 1. Construction and demolition waste. |
| (1) Recycled concrete aggregate |
| (2) Recycled mineral filler |
| 5.2.2. 2. Steel slag. |
| 5.2.2. 3. Waste tire rubber. |
| 5.2.3. Environment impact of pavement material |
| 5.2.3. 1. GHG emission and energy consumption of pavement material. |
| (1) Estimation of GHG emission and energy consumption |
| (2) Challenge and prospect of environment burden estimation |
| 5.2.3. 2. VOC emission of pavement material. |
| (1) Characterization and sources of VOC emission |
| (2) Health injury of VOC emission |
| (3) Inhibition of VOC emission |
| (4) Prospect of VOC emission study |
| 5.2.4. Summary and outlook |
| 6. Intelligent pavement |
| 6.1. Automated pavement defect detection using deep learning |
| 6.1.1. Automated data collection method |
| 6.1.1. 1. Digital camera. |
| 6.1.1.2.3D laser camera. |
| 6.1.1. 3. Structure from motion. |
| 6.1.2. Automated road surface distress detection |
| 6.1.2. 1. Image processing-based method. |
| 6.1.2. 2. Machine learning and deep learning-based methods. |
| 6.1.3. Pavement internal defect detection |
| 6.1.4. Summary and outlook |
| 6.2. Intelligent pavement construction and maintenance |
| 6.2.1. Intelligent pavement construction management |
| 6.2.1. 1. Standardized integration of BIM information resources. |
| 6.2.1. 2. Construction field capturing technologies. |
| 6.2.1. 3. Multi-source spatial data fusion. |
| 6.2.1. 4. Research on schedule management based on BIM. |
| 6.2.1. 5. Application of BIM information management system. |
| 6.2.2. Intelligent compaction technology for asphalt pavement |
| 6.2.2. 1. Weakened IntelliSense of ICT. |
| 6.2.2. 2. Poor adaptability of asphalt pavement compaction index. |
| (1) The construction process of asphalt pavement is affected by many complex factors |
| (2) Difficulty in model calculation caused by jumping vibration of vibrating drum |
| (3) There are challenges to the numerical stability and computational efficiency of the theoretical model |
| 6.2.2. 3. Insufficient research on asphalt mixture in vibratory rolling. |
| 6.2.3. Intelligent pavement maintenance decision-making |
| 6.2.3. 1. Basic functional framework. |
| 6.2.3. 2. Expert experience-based methods. |
| 6.2.3. 3. Priority-based methods. |
| 6.2.3. 4. Mathematical programming-based methods. |
| 6.2.3. 5. New-gen machine learning-based methods. |
| 6.2.4. Summary and outlook |
| (1) Pavement construction management |
| (2) Pavement compaction technology |
| (3) Pavement maintenance decision-making |
| 7. Conclusions |
| Conflict of interest |
（6）Rice functional genomics: decades’ efforts and roads ahead（论文提纲范文）
| Introduction |
| Omics and genome-wide association studies |
| Rice epigenomics |
| Genome-wide association studies |
| Phytohormone and growth |
| Biological functions of phytohormones in rice |
| Biosynthesis and metabolism of phytohormones |
| Distribution and transport of phytohormones |
| Perception and signal transduction of phytohormones |
| Deciphering nutrient use efficiency |
| Further steps after transporting |
| Interplay between N and plant hormones |
| Balance between heading date and NUE |
| Perspectives in rice NUE |
| Perception and responses to abiotic stress |
| Abiotic stress-sensing mechanisms |
| Abiotic stress response mechanisms |
| Drought stress |
| Ionic stress |
| Cold stress |
| Heat stress |
| Defense activation and signaling in rice biotic interactions |
| PTI signaling in rice |
| Molecular understanding of rice-insect interactions |
| Rice insect effectors |
| Photoperiodic flowering |
| A glimpse into the regulatory network of rice heading |
| Photoperiodic flowering in rice |
| Complicated interactions among the core flowering regulatory genes |
| Hd1,Ghd7,Os PRR37,and DTH8 forming different CCT/NF-Y complexes |
| The Ghd7 gate opening in LD by light quality and daylength |
| Effects of photoreceptor genes on heading |
| Effects of circadian clock genes on heading |
| Evolution and application of rice photoperiodic flowering |
| Fertility and sterility control |
| CMS and fertility restoration in three-line hybrid rice |
| Cytoplasmic male sterility systems used in hybrid rice breeding |
| The premature tapetal PCD in CMS-WA |
| CMS protein cytotoxicity in CMS-BT |
| Mitochondrial energy deficiency in CMS-HL |
| Fertility restoration for CMS |
| Environment-sensitive genic male sterility and fertility conversion in two-line hybrid rice |
| Non-coding RNA-mediated P/TGMS |
| Protein-controlled P/TGMS |
| Reproductive barrier in inter-(sub)specific hybrids |
| Molecular genetic mechanisms of HS |
| Approaches for overcoming of HS in rice breeding |
| Perspective |
| SUPPORTING INFORMATION |
（8）中国地下金属矿山微震监测技术应用进展及展望（英文）（论文提纲范文）
| 1 Introduction |
| 2 Principle of microseismic monitoring technology |
| 2.1 Monitoring principle |
| 2.2 Sensor layout |
| 2.3 Microseismic parameters |
| 3 Safety monitoring for mining process in underground metal mines |
| 3.1 Microseismic activities induced by mining disturbance |
| 3.2 Risk assessment and warning of rock mass hazards |
| 3.3 Mining parameters optimization |
| 3.4 Seismic source mechanism |
| 4 Application of microseismic monitoring for other typical hazards |
| 4.1 Microseismic monitoring for goaf stability and rock strata movement |
| 4.2 Microseismic activities induced by fault slip |
| 4.3 Monitoring for hazards induced by groundwater |
| 4.4 Personnel location and rescue |
| 4.5 Monitoring for illegal mining |
| 5 Prospect of microseismic technology in underground metal mines in China |
| 5.1 Intelligent analysis of microseismic data |
| 5.2 Research and development of microseismic equipment |
| 5.3 Integrated monitoring and analysis for multi-source information during rock massfracturing |
| 5.4 Intelligent risk assessment and warning for ground pressure hazards |
| 6 Conclusions |
| Contributors |
| Conflict of interest |
（9）华南地区加里东期花岗岩：成岩和成矿作用的地质与地球化学特征（论文提纲范文）
| 0 引 言 |
| 1 华南地区加里东期花岗岩的发现史 |
| 1.1 地质观测 |
| 1.2 实验测定 |
| 1.3 框架构建 |
| 2 花岗岩总体特征 |
| 3 花岗岩形成年龄的规律性 |
| 4 成矿和不成矿花岗岩特征对比 |
| 5 变质和未变质花岗岩特征对比 |
| 6 不同阶段花岗岩地球化学特征对比 |
| 7 结 语 |
（10）中亚造山带天河石花岗岩及相关铷矿床的主要特征与研究进展（论文提纲范文）
| 1 花岗(伟晶)岩型铷矿床的主要研究进展 |
| 1.1 花岗(伟晶)岩中Rb的赋存状态 |
| 1.2 花岗岩型铷矿床的岩相分带与元素分异机制 |
| 1.3 富铷花岗伟晶岩的成因类型 |
| 2 中亚造山带天河石花岗岩与相关稀有金属矿床 |
| 2.1 中亚造山带西段典型天河石花岗(伟晶)岩及相关稀有金属矿床 |
| 2.1.1 南乌拉尔Il'menskie天河石伟晶岩型铷矿 |
| 2.1.2 中天山东段国宝山天河石花岗岩型铷矿床 |
| 2.1.3 中天山东段白石头泉天河石花岗岩型铷矿床 |
| 2.2 中亚造山带东段典型天河石花岗岩及相关稀有金属矿床 |
| 2.2.1 外贝加尔Orlovka天河石花岗岩型Ta-Li-Rb矿床 |
| 2.2.2 大兴安岭南段石灰窑天河石花岗岩型Rb-Nb-Ta矿床 |
| 2.2.3 大兴安岭南段维拉斯托Sn-Li-Rb多金属矿床 |
| 3 中亚造山带天河石花岗岩时空分布与构造背景 |
| 3.1 中亚造山带构造格架和演化 |
| 3.2 中亚造山带西段天河石花岗岩的构造背景 |
| 3.3 中亚造山带东段天河石花岗岩的构造背景 |
| 4 天河石花岗岩型铷矿的研究展望 |
| 4.1 成岩成矿时代的精确限定 |
| 4.2 岩浆演化与流体分异过程 |
| 4.3 富矿体的形成过程与找矿方向 |
| 5 结语 |
四、INSTITUTE OF ROCK AND MINERAL ANALYSIS——ACHIEVEMENTS OF RESEARCH（论文参考文献）
- [1]Possibilities of using silicate rock powder: An overview[J]. Claudete Gindri Ramos,James C.Hower,Erika Blanco,Marcos Leandro Silva Oliveira,Suzi Huff Theodoro. Geoscience Frontiers, 2022(01)
- [2]Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China[J]. ZHAO Fei-fei,HE Man-chao,WANG Yun-tao,TAO Zhi-gang,LI Chun. Journal of Mountain Science, 2022(01)
- [3]Actinobacteria-enhanced plant growth, nutrient acquisition, and crop protection:Advances in soil, plant, and microbial multifactorial interactions[J]. Debasis MITRA,Rittick MONDAL,Bahman KHOSHRU,Ansuman SENAPATI,T. K. RADHA,Bhaswatimayee MAHAKUR,Navendra UNIYAL,Ei Mon MYO,Hanane BOUTAJ,Beatriz Elena GUERRA SIERRA,Periyasamy PANNEERSELVAM,Arakalagud Nanjundaiah GANESHAMURTHY,Sne?ana ANDELKOVI?,Tanja VASI?,Anju RANI,Subhadeep DUTTA,Pradeep K. DAS MOHAPATRA. Pedosphere, 2022(01)
- [4]Geology and mineralization of the Sanshandao supergiant gold deposit（1200 t） in the Jiaodong Peninsula, China: A review[J]. Ming-chun Song,Zheng-jiang Ding,Jun-jin Zhang,Ying-xin Song,Jun-wei Bo,Yu-qun Wang,Hong-bo Liu,Shi-yong Li,Jie Li,Rui-xiang Li,Bin Wang,Xiang-dong Liu,Liang-liang Zhang,Lei-lei Dong,Jian Li,Chun-yan He. China Geology, 2021(04)
- [5]New innovations in pavement materials and engineering:A review on pavement engineering research 2021[J]. JTTE Editorial Office,Jiaqi Chen,Hancheng Dan,Yongjie Ding,Yangming Gao,Meng Guo,Shuaicheng Guo,Bingye Han,Bin Hong,Yue Hou,Chichun Hu,Jing Hu,Ju Huyan,Jiwang Jiang,Wei Jiang,Cheng Li,Pengfei Liu,Yu Liu,Zhuangzhuang Liu,Guoyang Lu,Jian Ouyang,Xin Qu,Dongya Ren,Chao Wang,Chaohui Wang,Dawei Wang,Di Wang,Hainian Wang,Haopeng Wang,Yue Xiao,Chao Xing,Huining Xu,Yu Yan,Xu Yang,Lingyun You,Zhanping You,Bin Yu,Huayang Yu,Huanan Yu,Henglong Zhang,Jizhe Zhang,Changhong Zhou,Changjun Zhou,Xingyi Zhu. Journal of Traffic and Transportation Engineering（English Edition）, 2021
- [6]Rice functional genomics: decades’ efforts and roads ahead[J]. Rongzhi Chen,Yiwen Deng,Yanglin Ding,Jingxin Guo,Jie Qiu,Bing Wang,Changsheng Wang,Yongyao Xie,Zhihua Zhang,Jiaxin Chen,Letian Chen,Chengcai Chu,Guangcun He,Zuhua He,Xuehui Huang,Yongzhong Xing,Shuhua Yang,Daoxin Xie,Yaoguang Liu,Jiayang Li. Science China（Life Sciences）, 2022(01)
- [7]深部金属矿产资源开发面临的挑战及新见解（英文）[J]. 李鹏,蔡美峰. Transactions of Nonferrous Metals Society of China, 2021(11)
- [8]中国地下金属矿山微震监测技术应用进展及展望（英文）[J]. 刘建坡,司英涛,魏登铖,师宏旭,王人. Journal of Central South University, 2021(10)
- [9]华南地区加里东期花岗岩：成岩和成矿作用的地质与地球化学特征[J]. 郭春丽,刘泽坤. 地球科学与环境学报, 2021(06)
- [10]中亚造山带天河石花岗岩及相关铷矿床的主要特征与研究进展[J]. 吴昌志,贾力,雷如雄,陈博洋,丰志杰,凤永刚,智俊,白世恒. 岩石学报, 2021(09)
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