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| 1 | Phased,chromosome-scale genome assemblies of tetraploid potato reveal a complex genome,transcriptome,and predicted proteome landscape underpinning genetic diversity显示文摘Cultivated potato is a clonally propagated autotetraploid species with a highly heterogeneous genome.Phased assemblies of six cultivars including two chromosome-scale phased genome assemblies revealed extensive allelic diversity,including altered coding and transcript sequences,preferential allele expression,and structural variation that collectively result in a highly complex transcriptome and predicted proteome,which are distributed across the homologous chromosomes.Wild species contribute to the extensive allelic diversity in tetraploid cultivars,demonstrating ancestral introgressions predating modern breeding efforts.As a clonally propagated autotetraploid that undergoes limited meiosis,dysfunctional and deleterious alleles are not purged in tetraploid potato.Nearly a quarter of the loci bore mutations are predicted to have a high negative impact on protein function,complicating breeder’s efforts to reduce genetic load.The StCDF1 locus controls maturity,and analysis of six tetraploid genomes revealed that 12 allelic variants of StCDF1 are correlated with maturity in a dosage-dependent manner.Knowledge of the complexity of the tetraploid potato genome with its rampant structural variation and embedded deleterious and dysfunctional alleles will be key not only to implementing precision breeding of tetraploid cultivars but also to the construction of homozygous,diploid potato germplasm containing favorable alleles to capitalize on heterosis in F1 hybrids. | Genevieve Hoopes Xiaoxi Meng John P.Hamilton Sai Reddy Achakkagari Fernanda de Alves Freitas Guesdes Marie E.Bolger Joseph J.Coombs Danny Esselink Natalie R.Kaiser Linda Kodde Maria Kyriakidou Brian Lavrijssen Natascha van Lieshout Rachel Shereda Heather K.Tuttle Brieanne Vaillancourt Joshua C.Wood Jan Mde Boer Nolan Bornowski Peter Bourke David Douches Herman Jvan Eck Dave Ellis Max J.Feldman Kyle M.Gardner Johannes C.P.Hopman Jiming Jiang Walter S.De Jong Joseph C.Kuhl Richard G.Novy Stan Oome Vidyasagar Sathuvalli Ek Han Tan Remco A.Ursum M.Isabel Vales Kelly Vining Richard G.F.Visser Jack Vossen G.Craig Yencho Noelle L.Anglin Christian W.B.Bachem Jeffrey B.Endelman Laura M.Shannon Martina V.Stromvik Helen H.Tai Bjorn Usadel C.Robin Buell Richard Finkers | 2022 | Molecular Plant2022，15，3： | 4 |
| 2 | A New 6D Magnetic Localization Technique for Wireless Capsule Endoscope Based on a Rectangle Magnet显示文摘 | YANG Wan'an HU Chao Max Q.H. Meng DAI Houde CHEN Dongmei | 2010 | Chinese Journal of Electronics2010，19，2： | 3 |
| 3 | Morphology Variability Analysis of Wrist Pulse Waveform for Assessment of Arteriosclerosis Status显示文摘 | Lisheng Xu Max Q.-H. Meng Xianghua Qi Kuanquan Wang | 2010 | Journal of Medical Systems2010，，3： | 1 |
| 4 | Robust H∞ exponential filtering for uncertain stochastic time-delay systems with Markovian switching and nonlinearities显示文摘 | YAN Huaicheng Max Q H Meng ZHANG Hao SHI Hongbo | | 0，，： | 1 |
| 5 | Online Data-Driven Fuzzy Clustering With Applications to Real-Time Robotic Tracking 显示文摘 | Peter X Liu Max Q H Meng | 2004 | IEEE Transactions on Fuzzy Systems (S1063-6706)2004，12，4： | 1 |
| 6 | Bimetallic carbide nanocomposite enhanced Pt catalyst with high activity and stability for the oxygen reduction reaction显示文摘 | MAX M MENG H CAI M | | 0，，： | 1 |
| 7 | Real-Time Collision-Free Mo-tion Planning of a Mobile Robot Using a Neural Dynamics-Based Approach显示文摘 | Simon X Yang Max Q H Meng | 2003 | IEEE Transactions on Neural NeuralNetworks2003，4，6： | 1 |
| 8 | A Linear Algorithm for Tracing Magnet's Position and Orientation by Using 3-Axis Magnetic Sensor显示文摘 | Chao Hu Max Q H Meng Mrinal Mandal | 2007 | IEEE Transaction on Magnetics2007，43，12： | 1 |
| 9 | An efficient neural network approach to dynamic robot motion planning显示文摘 | Simon X Yang Max Meng | | 0，，： | 1 |
| 10 | Online data-driven fuzzy clustering with applications to real-time robotic tracking显示文摘 | Liu Peter X Meng Max Q H | 2004 | IEEE Transactions on Fuzzy Systems2004，12，4： | 1 |
| 11 | Delay-range-dependent robust H ∞ control for uncertain systems with interval time-varying delays显示文摘 | Huaicheng Yan Hao Zhang Max Q.-H. Meng | 2010 | Neurocomputing2010，，7： | 1 |
| 12 | Microcomputer-based Phase-discrimination Capacitive Angular Sensor显示文摘 | Chao Hu Max Meng Peter Xiaoping Liu | 2003 | IEEE International Symposium on Computational Intelligence in Robotics and Automation July2003，1620，： | 1 |
| 13 | Neural Network Approaches to Dynamic Collision-Free Trajectory Generation显示文摘 | Simon X Yang Max Meng | 2001 | IEEE Trans on Systems Man and Cybernetic2001，31，3： | 1 |
| 14 | Real-time Collision-free Path Planning of Robot Manipulators using Neural Network Approaches显示文摘 | Simon X Yang Max Meng | 2000 | Autonomous Robots2000，9，： | 1 |
| 15 | An Efficient Neural Network Approach to Dynamic Robot Motion Planning显示文摘 | SIMON X YANG MAX MENG | 2000 | Neural Networks2000，13，2： | 1 |
| 16 | Hierarchical policy with deep-reinforcement learning for nonprehensile multiobject rearrangement显示文摘Nonprehensile multiobject rearrangement is the robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping.It must consider how each object reaches the target and the order in which objects move,considerably increasing the complexity of the problem.Thus,we propose a hierarchical policy for nonprehensile multiobject rearrangement based on deep-reinforcement learning.We use imitation learning and reinforcement learning to train a rollout policy.In a high-level policy,the policy network directs the Monte Carlo tree search algorithm to efficiently seek the ideal rearrangement sequence for several items.In a low-level policy,the robot plans the paths according to the order of path primitives and manipulates the objects to approach the target poses one by one.Our experiments show that the proposed method has a higher success rate,fewer steps,and shorter path length than the state-of-the-art methods. | Fan Bai Fei Meng Jianbang Liu Jiankun Wang Max Q-H.Meng | 2022 | Biomimetic Intelligence & Robotics2022，2，3： | 1 |
| 17 | Delay-range-dependent robust H∞control for uncertain systems with interval time-varying delays显示文摘 | Yan Huaicheng Zhang Hao Max Q H Meng | 2010 | Neurocomputing2010，73，： | 1 |
| 18 | A six-di-mensional magnetic localization algorithm for a rectangular magnet objective based on a particle swarm optimizer 显示文摘 | Yang Wan’an’Hu Chao Meng Max Q-H | 2009 | IEEE Transactions on Magnetics2009，45，8： | 1 |
| 19 | Delay - range - dependent robust H - infinity control for uncertain systemswith interval time - varying delays 显示文摘 | Yan Huaicheng Zhang Hao Meng Max Q H | 2011 | Neurocomputing2011，73，： | 1 |
| 20 | An efficient neural network approach to dynamic robot motion planning显示文摘 | Simon X Yang Max Meng | 2000 | Neural Networks2000，，2： | 1 |
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