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| 1 | Evolving technologies for growing,imaging and analyzing 3D root system architecture of crop plants显示文摘A plant's ability to maintain or improve its yield under limiting conditions,such as nutrient de ficiency or drought,can be strongly in fluenced by root system architecture(RSA),the three-dimensional distribution of the different root types in the soil. The ability to image,track and quantify these root system attributes in a dynamic fashion is a useful tool in assessing desirable genetic and physiological root traits. Recent advances in imaging technology and phenotyping software have resulted in substantive progress in describing and quantifying RSA. We have designed a hydroponic growth system which retains the three-dimensional RSA of the plant root system,while allowing for aeration,solution replenishment and the imposition of nutrient treatments,as well as high-quality imaging of the root system. The simplicity and flexibility of the system allows for modi fications tailored to the RSA of different crop species and improved throughput. This paper details the recent improvements and innovations in our root growth and imaging system which allows for greater image sensitivity(detection of fine roots and other root details),higher ef ficiency,and a broad array of growing conditions for plants that more closely mimic those found under field conditions. | Miguel A.Pieros Brandon G.Larson Jon E.Shaff David J.Schneider Alexandre Xavier Falcao Lixing Yuan Randy T.Clark Eric J.Craft Tyler W.Davis Pierre-Luc Pradier Nathanael M.Shaw Ithipong Assaranurak Susan R.Mc Couch Craig Sturrock Malcolm Bennett Leon V.Kochian | 2016 | Journal of Integrative Plant Biology2016，58，3： | 1 |
| 2 | Is Baseline Autonomic Tone Associated with New Onset Atrial Fibrillation?: Insights from the Framingham Heart Study显示文摘 | Jagmeet P.Singh Martin G.Larson DanielLevy Jane C.Evans HisakoTsuji Emelia J.Benjamin | 2004 | Annals of Noninvasive Electrocardiology2004，，3： | 1 |
| 3 | A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer显示文摘This work presents a framework governing the development of an efficient,accurate,and transferable coarse-grained(CG)model of a polyether material.The framework combines bottom-up and top-down approaches of coarse-grained model parameters by integrating machine learning(ML)with optimization algorithms.In the bottom-up approach,bonded interactions of the CG model are optimized using deep neural networks(DNN),where atomistic bonded distributions are matched.In the top-down approach,optimization of nonbonded parameters is accomplished by reproducing the temperature-dependent experimental density.We demonstrate that developed framework addresses the thermodynamic consistency and transferability issues associated with the classical coarse-graining approaches.The efficiency and transferability of the CG model is demonstrated through accurate predictions of chain statistics,the limiting behavior of the glass transition temperature,diffusion,and stress relaxation,where none were included in the parametrization process.The accuracy of the predicted properties are evaluated in context of molecular theories and available experimental data. | Zakiya Shireen Hansani Weeratunge Adrian Menzel Andrew W.Phillips Ronald G.Larson Kate Smith-Miles Elnaz Hajizadeh | 2022 | npj Computational Materials2022，，1： | 0 |
| 4 | 糖尿病代谢轮廓谱及其风险因素研究显示文摘众所周知,代谢性疾病多为长期慢性病,在多年以后才表现出明显的临床症状。例如,随着胰岛素缺乏时间的延长,患者才能被诊断为2型糖尿病或高胰岛素血症。目前,临床和实验室可通过检测一些指标(如体质指数或空腹血糖)来预测糖尿病发生危险,但是这些指标只反映疾病的表面状态,无法显示疾病本身的病理生理机制。然而通过对生物样本代谢图谱研究能够更早地发现与糖尿病相关的危险因素,并能够通过早期干预来预防糖尿病的发生和发展。 | Thomas J.Wang Martin G.Larson Ramachandran S.Vasan 刘丽燕 | 2012 | 营养健康新观察2012，0，1： | 0 |
| 5 | Author Correction: A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer显示文摘Correction to:npj Computational Materials http://gffzzd3cc09b8251d45dfsk0wpbv00qn5x6oxb.ffgz.tsg.suse.edu.cn/10.1038/s41524-022-00914-4,published online 04 November 2022 The original version of this Article omitted some contributions in the Author Contributions section and incorrectly read[H.W.:Formal analysis,data visualization,review and editing.]The correct Author Contributions should read:[H.W.:Conceptua-lisation,formal analysis,data visualisation,writing,review and editing;Z.S.and H.W.contributed equally to the conduct of the research and preparation of the manuscript.]This has now been corrected in both the PDF and HTML versions of the Article. | Zakiya Shireen Hansani Weeratunge Adrian Menzel Andrew W.Phillips Ronald G.Larson Kate Smith-Miles Elnaz Hajizadeh | 2023 | npj Computational Materials2023，，1： | 0 |
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