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| 1 | 环渤海海岸带^(14)C数据集(Ⅰ)显示文摘环渤海泥质海岸带近30年来获得的600余个放射性碳测年数据,确定了该地区晚更新世晚期以来的基本年代地层序列。但是,对14C数据的系统校正,迄未得到应有的重视,致使在应用14C数据解释地层和地质现象的年代时,存在着一定程度的混乱。文章对作者自己所采集和由国内外有关实验室测定的126个14C数据进行了系统校正,主要步骤包括分馏效应、地区性海洋贮存库效应及大气14C含量变化校正等。建议以-2.68‰PDB作为环渤海晚更新世晚期以来半咸水和开放浅海区(潮间带与潮下带上部)贝壳的地区性δ13C平均值。另外,讨论了在地区性海洋贮存库效应值获得之前的1990年代,以MARINE 93与INTCAL 93程序的平均校正年龄近似地视作该地区贝壳的校正值,以抵消这一类地区小型水体与大气迅速进行14CO2交换而对年龄值的影响。CALIB 4.4校正结果表明,前述近似校正是可行的,其结果仍可沿用。文章经统一校正的年龄,最大限度地接近其太阳历纪年的'真实'年龄,从而有助于更加准确地重建该地区的晚更新世晚期以来的地质年代史,并可与考古纪年及其他测年方法获得的绝对年龄直接对比。 | 王宏 李凤林 范昌福 M.Frechen M.van Strydonck 裴艳东 王云生 | 2004 | 第四纪研究2004，24，6： | 41 |
| 2 | 保持双源CT冠状动脉成像质量同时减低辐射剂量及肿瘤发生的危险性显示文摘目的 对目前实际临床工作中应用于有症状病人的标准与最佳心电图(ECG)管电流门控对诊断效能、放射剂量及癌肿发生危险性的作用进行评价。材料与方法研究获学会审核委员会的批准,所有病人均取得知情同意通知。436例有症状病人[男301例,女135例;年龄23~89岁,平均(61.6±10.6)岁]行双源CT冠状动脉成像检查,并以常规冠状动脉造影为参考标准。 | A.C.Weustink N.R.Mollet L.A.Neefjes M.van Straten E.Neoh S.Kyrzopoulos 王鹤 | 2009 | 国际医学放射学杂志2009，32，5： | 23 |
| 3 | 渤海湾老狼坨子海岸带^(14)C、^(137)Cs、^(210)Pb测年与现代沉积速率的加速趋势显示文摘通过对渤海湾西岸L剖面中同一关键层的碳酸钙和原生腹足类壳体的14C测年对比研究,确定了晚全新世约2800calBP的层位及沉积速率0.045cm/a;8个样柱的137Cs和210Pbexc强度、蓄积量揭示了距今约120年来堤后盐沼的平均沉积速率约为0.35cm/a,而面向开放海湾的潮坪上部则达到约2~3cm/a。研究区近1个世纪以来沉积速率的加速趋势,是渤海湾西岸泥质海岸带的特征之一。 | 王宏 姜义 李建芬 夏威岚 M.Van Strydonck S.L.Goodbred 康慧 | 2003 | 地质通报2003，22，9： | 22 |
| 4 | 《汉语语气词“了”:汉语的语篇构造和语用标记》介绍显示文摘 | M.van den Berg Wu Guo 杨素英(译) 黄月圆(译) | 2009 | 当代语言学2009，11，1： | 11 |
| 5 | Artificial Intelligence in Steam Cracking Modeling: A Deep Learning Algorithm for Detailed Effluent Prediction显示文摘Chemical processes can bene t tremendously from fast and accurate ef uent composition prediction for plant design, control, and optimization. The Industry 4.0 revolution claims that by introducing machine learning into these elds, substantial economic and environmental gains can be achieved. The bottleneck for high-frequency optimization and process control is often the time necessary to perform the required detailed analyses of, for example, feed and product. To resolve these issues, a framework of four deep learning arti cial neural networks (DL ANNs) has been developed for the largest chemicals production process steam cracking. The proposed methodology allows both a detailed characterization of a naphtha feedstock and a detailed composition of the steam cracker ef uent to be determined, based on a limited number of commercial naphtha indices and rapidly accessible process characteristics. The detailed char- acterization of a naphtha is predicted from three points on the boiling curve and paraf ns, iso-paraf ns, ole ns, naphthenes, and aronatics (PIONA) characterization. If unavailable, the boiling points are also estimated. Even with estimated boiling points, the developed DL ANN outperforms several established methods such as maximization of Shannon entropy and traditional ANNs. For feedstock reconstruction, a mean absolute error (MAE) of 0.3 wt% is achieved on the test set, while the MAE of the ef uent predic- tion is 0.1 wt%. When combining all networks using the output of the previous as input to the next the ef uent MAE increases to 0.19 wt%. In addition to the high accuracy of the networks, a major bene t is the negligible computational cost required to obtain the predictions. On a standard Intel i7 processor, predictions are made in the order of milliseconds. Commercial software such as COILSIM1D performs slightly better in terms of accuracy, but the required central processing unit time per reaction is in the order of seconds. This tremendous speed-up and minimal accuracy loss make the presented framework highly suitable for the continuous monitoring of dif cult-to-access process parameters and for the envi- sioned, high-frequency real-time optimization (RTO) strategy or process control. Nevertheless, the lack of a fundamental basis implies that fundamental understanding is almost completely lost, which is not always well-accepted by the engineering community. In addition, the performance of the developed net- works drops signi cantly for naphthas that are highly dissimilar to those in the training set. | Pieter PPlehiers Steffen HSymoens Ismaël Amghizar Guy B.Marin Christian V.Stevens Kevin M.Van Geem | 2019 | Engineering2019，5，6： | 9 |
| 6 | 一种用于硅基MEMS加工的深刻蚀技术显示文摘研究了光辅助电化学刻蚀技术,并特别研究了阵列和硅衬底之间的边缘效应。在阵列边缘由于电流分布不均匀以及空穴从孔的侧壁注入,因此可以在边缘区域观察到结构的坍塌,采用一个周期性变化的信号来调制光照的强度,边缘效应会得到一定的抑制。同时,也观察到了硅的电化学深刻蚀工艺中大电流情况下的抛光现象(阳极氧化条件下,硅表面在氢氟酸溶液中快速均匀溶解不形成孔的现象)。光学测试表明,制作的正方格子结构具有光子晶体行为,其光学禁带位于6μm附近。 | 陈瑜 吴俊徐 郭平生 王连卫 M.van der Zwan P.M.Sarro | 2005 | 微细加工技术2005，，4： | 6 |
| 7 | Machine Learning in Chemical Engineering:Strengths,Weaknesses,Opportunities,and Threats显示文摘Chemical engineers rely on models for design,research,and daily decision-making,often with potentially large financial and safety implications.Previous efforts a few decades ago to combine artificial intelligence and chemical engineering for modeling were unable to fulfill the expectations.In the last five years,the increasing availability of data and computational resources has led to a resurgence in machine learning-based research.Many recent efforts have facilitated the roll-out of machine learning techniques in the research field by developing large databases,benchmarks,and representations for chemical applications and new machine learning frameworks.Machine learning has significant advantages over traditional modeling techniques,including flexibility,accuracy,and execution speed.These strengths also come with weaknesses,such as the lack of interpretability of these black-box models.The greatest opportunities involve using machine learning in time-limited applications such as real-time optimization and planning that require high accuracy and that can build on models with a self-learning ability to recognize patterns,learn from data,and become more intelligent over time.The greatest threat in artificial intelligence research today is inappropriate use because most chemical engineers have had limited training in computer science and data analysis.Nevertheless,machine learning will definitely become a trustworthy element in the modeling toolbox of chemical engineers. | Maarten R.Dobbelaere Pieter P.Plehiers Ruben Van de Vijver Christian V.Stevens Kevin M.Van Geem | 2021 | Engineering2021，7，9： | 4 |
| 8 | 提高小麦产量潜力性状论述显示文摘该文对小麦产量形成的库、源、流限制与促进进行了研究。在研究库的过程中,得出了小麦抗叶锈病基因Lr19对产量、物质分配、产量构成因素、生育期、开花习性和生理生化等方面的主要影响,并指出了增加产量潜力的几个途径和维持库、源平衡对产量潜力充分发挥所起的作用。 | M.P.Reynolds M.van Ginkel B.Skovmand 杨春玲 韩勇 李晓亮 贾秀勇 | 2008 | 安徽农业科学2008，36，24： | 3 |
| 9 | Growth and development of term infants fed with milk with long-chain polyunsaturated fatty acid supplementation显示文摘 | 贲晓明 周晓玉 赵卫华 喻文亮 潘伟 张伟利 吴圣楣 Christien M.Van Beusekom Anne Schaafsma | 2004 | Chinese Medical Journal2004，，8： | 3 |
| 10 | 利用RUSLE预测区外多年平均泥沙沉积量(Ⅰ)显示文摘为预测区外泥沙沉积量 ,应评价二维的修订通用土壤流失方程式是否适用于三维实体 ,方程的外推采用蒙特卡罗误差推断技术。这项技术得出模型输出值的真实概率分布并给出解释问题的可能性 ,即模型输出值与田间观察值之间的差异究竟是由于模型输入的随机性还是主要缘于模型本身的若干局限与随机性。业已发现修订的通用土壤流失方程式能够精确地预测研究区外水库的泥沙沉积量 ,泥沙观测值的置信区间在 6 8%之内 ,二者之间的差异仅 1 4% ,故误差推测对差异的解释是主要缘于模型输入参数的随机性。因此 ,RUSLE模型中的地形因子也可作为观测地表径流输沙能力的手段。 | J.Biesemans M.Van Meirvenne D.Gabriels 郑其格 | 2001 | 水土保持科技情报2001，，4： | 2 |
| 11 | A simple Tenax? extraction method to determine the availability of sediment‐sorbed organic compounds显示文摘 | GerardCornelissen HenkRigterink Dorien E. M.ten Hulscher Bea A.Vrind Paul C. M.van Noort | 2009 | Environmental Toxicology and Chemistry2009，，4： | 2 |
| 12 | A revised nomenclature for allergy: An EAACI position statement from the EAACI nomenclature task force显示文摘 | S. G. O.Johansson J.O’BHourihane J.Bousquet C.Bruijnzeel‐Koomen S.Dreborg T.Haahtela M. L.Kowalski N.Mygind J.Ring P.Van Cauwenberge M.Van Hage‐Hamsten B.Wüthrich | 2008 | Allergy2008，，9： | 2 |
| 13 | Colorectal cancer risk in adenoma patients: A nation‐wide study显示文摘 | F.Loeve M.van Ballegooijen R.Boer E.J.Kuipers J.D.F.Habbema | 2004 | Int. J. Cancer2004，，1： | 2 |
| 14 | Quality of life, health‐related quality of life and health status in patients having restorative proctocolectomy with ileal pouch‐anal anastomosis for ulcerative colitis: a systematic review显示文摘 | J. T.Heikens J.de Vries C. J. H. M.van Laarhoven | 2012 | Colorectal Disease2012，，5： | 2 |
| 15 | Kinetics of adsorption and desorption of some organochlorine compounds on black carbon in a sediment显示文摘 | Bea A.Vrind Theodora E. M.ten Hulscher Paul C. M.van Noort | 2009 | Environmental Toxicology and Chemistry2009，，4： | 1 |
| 16 | Novel smooth muscle markers reveal abnormalities of the intestinal musculature in severe colorectal motility disorders显示文摘 | T.Wedel G. J. J. M.Van Eys D.Waltregny W.Glénisson V.Castronovo J‐m.Vanderwinden | 2006 | Neurogastroenterology & Motility2006，，7： | 1 |
| 17 | Intraoperative assessment of microperfusion with visible light spectroscopy for prediction of anastomotic leakage in colorectal anastomoses显示文摘 | A.Karliczek D. A.Benaron P. C.Baas C. J.Zeebregts T.Wiggers G. M.Van Dam | 2009 | Colorectal Disease2009，，10： | 1 |
| 18 | 中国固体潮观测研究显示文摘 | P.Melchior 方俊 B.Ducarme 许厚泽 M.Van Ruymbeke 李瑞浩 C.Poitevin 陈冬生 | 1985 | 地球物理学报1985，，02： | 1 |
| 19 | Expression of Ep‐CAM in normal, regenerating, metaplastic, and neoplastic liver显示文摘 | Carla J.de Boer Johan H. J. M.van Krieken Connie M.Janssen‐van Rhijn Sergey V.Litvinov | 1999 | J Pathol1999，，2： | 1 |
| 20 | In vitro adipogenesis of adipose‐derived stem cells in 3D fibrin matrix of low component concentration显示文摘 | A.Peterbauer‐Scherb M.Danzer C.Gabriel M.van Griensven H.Redl S.Wolbank | 2012 | J Tissue Eng Regen Med2012，，6： | 1 |
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