|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 中蒙边界地区构造单元划分显示文摘以板块构造理论为指导,中蒙合作完成中蒙边界地区1∶100万地质编图成果的基础上,对中蒙边界地区构造格架进行了统一厘定和划分。该区Ⅰ级构造单元主体隶属于中亚构造带的阿尔泰—兴蒙造山系,部分属塔里木—华北陆块区。阿尔泰—兴蒙造山系可划分为10个Ⅱ级、27个Ⅲ级和69个Ⅳ级构造单元。塔里木—华北陆块部分划分出2个Ⅱ级、2个Ⅲ级和4个Ⅳ级构造单元。这些不同级别的构造单元较全面地概括了中蒙边界地区的地质面貌。 | 李俊建 张锋 任军平 唐文龙 付超 陈正 李承东 赵丽君 冯晓曦 党智财 赵泽霖 刘晓雪 Tomurtogoo Onongyn Delgersaikhan Adiya Enkhbat Tserendash Altankhundaga Batsaikhan Dorjsuren Byambaadash Batbayar Jargalsaikhan | 2015 | 地质通报2015，34，4： | 48 |
| 2 | 蒙古国中医药发展现状与分析显示文摘蒙古国是毗邻我国北部的议会共和制国家。卫生保健主要由国有医疗机构、私营诊所和混合所有制医疗机构三部分构成,覆盖面广但资源不均。由于民风及气候原因,该国消化系统疾患较为常见,导致蒙古国居民死亡的主要疾病是缺血性心脏病、脑卒中、肝癌等。蒙古国与中国地理相近、文化亲缘,中医药文化的发展与传播较其他国家更为民众所接受。蒙古国的传统医学与中医学长期相互交流与影响,互相促进发展,并受到蒙古国法律的保护。目前蒙医的传承、蒙药的研发与保护、非药物疗法的推广等问题是制约蒙中传统医药发展的因素。建议蒙中传统医学通过联合培养高水平医学人才、加大草药研发与保护力度、扩大非药物疗法的应用,共同推进传统医学在世界的发展与传播。 | 赫兰晔 贾小强 李嘉俊 Khurelbaatar Khongorzul Jargalsaikhan Gombodorj 魏竞竞 赵静 许家杰 曹洪欣 | 2021 | 国际中医中药杂志2021，43，1： | 4 |
| 3 | 基于DEA-Malmquist的中蒙公路口岸物流效率分析显示文摘以中蒙公路口岸为研究对象,构建中蒙公路口岸物流效率的投入产出指标体系,为避免单一地区口岸研究的片面性,结合BCC-DEA、双边DEA及Malmquist指数法对2013—2018年的16个中蒙公路口岸数据进行静态、双向差异和动态分析。结果表明:中蒙公路口岸整体物流效率较高,但新疆地区水平较为薄弱,技术应用的缓慢是导致物流效率较低的重要因素,且不同级别的口岸物流效率差异显著。对此,提出深化地区合作、推动技术应用创新及结合地区优势制定具有指向性的政策法规等相关建议。 | 邓红星 Munkhtuul Jargalsaikhan 刘敏 | 2021 | 重庆理工大学学报(自然科学)2021，35，4： | 4 |
| 4 | Oxidized Mitochondrial DNA Activates the NLRP3 Inflammasome during Apoptosis显示文摘 | Kenichi Shimada Timothy R. Crother Justin Karlin Jargalsaikhan Dagvadorj Norika Chiba Shuang Chen V. Krishnan Ramanujan Andrea J. Wolf Laurent Vergnes David M. Ojcius Altan Rentsendorj Mario Vargas Candace Guerrero Yinsheng Wang Katherine A. Fitzgerald Da | 2012 | Immunity2012，，3： | 1 |
| 5 | Surveillance of Antibiotic Resistant Staphylococcus aureus in Agricultural Production Chain of Mongolia显示文摘 | Tumuruu Gantsetseg Jargalsaikhan Enkhtuya Tundev Odgerel Ochirpurev Ariuntuya Sodnom Lkhagvasuren | 2015 | Journal of Agricultural Science and Technology(B)2015，5，10： | 0 |
| 6 | Multi-Agent Deep Reinforcement Learning-Based Resource Allocation in HPC/AI Converged Cluster显示文摘As the complexity of deep learning(DL)networks and training data grows enormously,methods that scale with computation are becoming the future of artificial intelligence(AI)development.In this regard,the interplay between machine learning(ML)and high-performance computing(HPC)is an innovative paradigm to speed up the efficiency of AI research and development.However,building and operating an HPC/AI converged system require broad knowledge to leverage the latest computing,networking,and storage technologies.Moreover,an HPC-based AI computing environment needs an appropriate resource allocation and monitoring strategy to efficiently utilize the system resources.In this regard,we introduce a technique for building and operating a high-performance AI-computing environment with the latest technologies.Specifically,an HPC/AI converged system is configured inside Gwangju Institute of Science and Technology(GIST),called GIST AI-X computing cluster,which is built by leveraging the latest Nvidia DGX servers,high-performance storage and networking devices,and various open source tools.Therefore,it can be a good reference for building a small or middlesized HPC/AI converged system for research and educational institutes.In addition,we propose a resource allocation method for DL jobs to efficiently utilize the computing resources with multi-agent deep reinforcement learning(mDRL).Through extensive simulations and experiments,we validate that the proposed mDRL algorithm can help the HPC/AI converged cluster to achieve both system utilization and power consumption improvement.By deploying the proposed resource allocation method to the system,total job completion time is reduced by around 20%and inefficient power consumption is reduced by around 40%. | Jargalsaikhan Narantuya Jun-Sik Shin Sun Park JongWon Kim | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 7 | Surface coating copper powder with carbon nanotubes using traditional and stirred ball mills under various experimental conditions显示文摘We investigated the effect of the raw powder properties of carbon nanotube surface coatings on metal powder,with the goal of obtaining high-quality nanocomposites.The mechanical dry coating technique was used to fabricate CNT coatings (guest particles)on the surface of copper (Cu,host)particles using a traditional ball mill and a stirred ball mill.The coatings were produced under various experimental conditions (varying rotation speed and grinding duration,with a ball diameter of 5mm),and the effect of these conditions on the surface of the powder was determined.The coated surfaces were characterized using scanning electron microscopy and field emission scanning electron microscopy.We compared prolonged milling (48h)at a low rotation speed (50rpm),with a short milling period (12h)at high rotation speed.We found that for the TBM,successful CNT coating was achieved at 50rpm over 48h. In contrast,for the SBM,CNT coatings were obtained after a short milling period (12h)at low rotation speed (50rpm). | Amgalan Bor Battsetseg Jargalsaikhan Jehyun Lee Heekyu Choi | 2018 | Particuology2018，16，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员