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  • 1
    Online Resource
    Online Resource
    Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25-27, 2020, Revised Selected Papers. (2021)
    Singapore :Springer Singapore Pte. Limited,
    Details
    Keywords: Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (639 pages)
    Edition: 1st ed.
    ISBN: 9789811623363
    Series Statement: Communications in Computer and Information Science Series ; v.1397
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6605981
    Language: English
    Note: Intro -- Preface -- Organization -- Contents -- Award -- Quantized Separable Residual Network for Facial Expression Recognition on FPGA -- 1 Introduction -- 2 Related Work -- 2.1 Facial Expression Recognition -- 2.2 Field Programmable Gate Array -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Model Quantization -- 3.3 System Design -- 4 Experiment Result -- 4.1 Dataset and Experiment Setup -- 4.2 Deployment Detail -- 4.3 Result and Analysis -- 5 Conclusion -- References -- Hole-Peg Assembly Strategy Based on Deep Reinforcement Learning -- 1 Introduction -- 2 The Description of Problems -- 3 A Detailed Description of the Methods -- 3.1 Hole-Searching Phase -- 3.2 Hole-Inserting Phase -- 4 Simulative Training -- 4.1 Inserting Phase -- 4.2 Performance of Anti-Jamming -- 5 Conclusions -- References -- EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections -- 1 Introduction -- 2 The Dataset -- 3 Method -- 3.1 Functional Connection Computation -- 3.2 The Proposed Convolutional Neural Network -- 4 Experimental Results -- 5 Conclusion -- References -- Fast Barcode Detection Method Based on ThinYOLOv4 -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Methods -- 2.2 Deep Learning Methods -- 3 Fast Barcode Detection Based on ThinYOLOv4 -- 3.1 Basic Model -- 3.2 Sparsity Training -- 3.3 Pruning -- 3.4 Fine-Tuning -- 3.5 Binary Classification Network -- 4 Experiments -- 4.1 Datasets -- 4.2 Normal Training -- 4.3 Sparse Training -- 4.4 Pruning and Fine-Tuning -- 4.5 Binary Classification Network -- 4.6 Experimental Results -- 5 Conclusion -- References -- The Realtime Indoor Localization Unmanned Aerial Vehicle -- 1 Introduction -- 2 Method of Indoor Localization -- 2.1 Visual Odometer Based on Direct Method -- 2.2 Space Point Depth Estimation -- 3 Experiments and Analysis -- 3.1 Processing Time Evaluation. , 3.2 Pose Accuracy Evaluation -- 4 Conclusion -- References -- Algorithm -- L1-Norm and Trace Lasso Based Locality Correlation Projection -- 1 Introduction -- 2 Related work -- 2.1 LPP -- 2.2 LPP-L1 -- 3 L1-Norm and Trace Lasso Based Locality Correlation Projection (L1/TL-LRP) -- 3.1 Problem Formulation -- 3.2 Optimization of L1/TL-LRP -- 3.3 Extension to Multiple Projection Vectors -- 4 Experiments -- 4.1 Experiments on COIL-20 Database -- 4.2 Experiments on AR Database -- 4.3 Experiments on LFW Database -- 4.4 Discussion -- 5 Conclusions -- References -- Episodic Training for Domain Generalization Using Latent Domains -- 1 Introduction -- 2 Related Works -- 3 The Proposed Methodology -- 3.1 Adversarial Domain Generalization -- 3.2 Episodic Training -- 4 Experiments -- 4.1 Experiments on MNIST Dataset -- 4.2 Experiments on VLCS Dataset -- 4.3 Experiments on PACS Dataset -- 5 Conclusion -- References -- A Novel Attitude Estimation Algorithm Based on EKF-LSTM Fusion Model -- 1 Introduction -- 2 Related Background -- 2.1 Extended Kalman Filter -- 2.2 Long Short-Term Memory -- 2.3 EKF-LSTM Fusion Model for Attitude Estimation -- 3 Simulation Experiment and Analysis -- 4 Conclusion -- References -- METAHACI: Meta-learning for Human Activity Classification from IMU Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Source of Dataset -- 3.2 Data Preprocessing -- 3.3 Method -- 4 Result -- 5 Discussion and Conclusion -- References -- Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development -- 1 Introduction -- 2 Methodology -- 2.1 Information Injected Module -- 2.2 Information Transfer Module -- 3 Experiments -- 3.1 Experimental Setting -- 3.2 Comparision -- 4 Conclusion -- References -- Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications. , 1 Introduction -- 1.1 Contributions -- 1.2 Outline -- 2 Model and Algorithm -- 3 Convergence Analysis -- 4 Numerical Experiments -- 5 Conclusions -- References -- Path Planning and Simulation Based on Cumulative Error Estimation -- 1 Introduction -- 2 Related Work -- 3 Path Planning Method Based on Reinforcement Learning -- 3.1 Q-Learning Path Planning Algorithm -- 3.2 Path Planning Strategy -- 4 Simulation -- 5 Conclusion -- References -- MIMF: Mutual Information-Driven Multimodal Fusion -- 1 Introduction -- 2 Problem Statement -- 3 MIMF Network -- 3.1 Multimodal Feature Fusion Network -- 3.2 DIM Module for MI Estimation -- 3.3 Mutual Information-Driven Multimodal Fusion -- 4 Experiment -- 4.1 Dataset and Metrics -- 5 Conclusion -- References -- Application -- Spatial Information Extraction of Panax Notoginseng Fields Using Multi-algorithm and Multi-sample Strategy-Based Remote Sensing Techniques -- 1 Introduction -- 2 Materials -- 3 Methodology -- 4 Experiments -- 5 Conclusions -- References -- Application of Convolution BLS in AI Face-Changing Problem -- 1 Introduction -- 2 Related Work -- 3 Model Adjustment -- 3.1 Feature Mapping to Convolution in BLS -- 3.2 Input Data with Convolution in BLS -- 4 Experiment and Result -- 4.1 Labled Faces in the Wild Data Set -- 4.2 FaceForensics++ Data Set -- 4.3 Experiment -- 5 Conclusion -- References -- Cognitive Calculation Studied for Smart System to Lead Water Resources Management -- 1 Introduction -- 2 The Methods -- 2.1 Information Management Model: (IU = ID - IK) -- 2.2 Knowledge Management Model: IK = ID - IU -- 2.3 Computer-Aided Self-management Model: ID = IK + IU -- 3 The Validation of the Model -- 4 Result and Discussion -- 5 Conclusion -- References -- A Robotic Arm Aided Writing Learning Companion for Children -- 1 Introduction -- 2 System Structure -- 3 Method -- 3.1 Dialog State Definition. , 3.2 Multi-modal Dialog States Tracking -- 3.3 Drawing Order Recovery (DOR) -- 3.4 Drawing Order Learning (DOL) -- 4 Experiments -- 4.1 Interaction Environment -- 4.2 Data Preparation and Experiment Setting -- 4.3 Performance -- 5 Conclusions -- References -- Design of Omnidirectional Mobile Robot Platform Controlled by Remote Visualization -- 1 Introduction -- 2 Related Background -- 2.1 Mecanum Structure -- 2.2 Mecanum Wheels Layout -- 2.3 Mecanum Wheel Motion Mechanism -- 3 Software System Design -- 3.1 Overall System Design -- 3.2 Raspberry PI Data Transceiver -- 3.3 Bottom Control Based on STM32 -- 4 Multi-mode Control System -- 4.1 Digital Control Mode -- 4.2 Bluetooth Control Mode -- 4.3 4G Remote Visual Control Mode -- 5 Experimental Result -- 6 Conclusion -- References -- AG-DPSO: Landing Position Planning Method for Multi-node Deep Space Explorer -- 1 Introduction -- 2 Our Method -- 2.1 Constraint Modeling Among Deep Space Explorer Nodes -- 2.2 Basic PSO Algorithm -- 2.3 Adaptive Genetic Discrete PSO (AG-DPSO) -- 3 Experiments -- 3.1 Configuration -- 3.2 Parameters Settings -- 3.3 Results and Analysis -- 4 Conclusions -- References -- A New Paralleled Semi-supervised Deep Learning Method for Remaining Useful Life Prediction -- 1 Introduction -- 2 Architecture -- 2.1 Variational Auto Encoder (VAE) -- 2.2 The Proposed Model Architecture -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Data Processing -- 3.3 Loss Function and Activation Function -- 3.4 Experimental Performance -- 4 Conclusions and Discussion -- References -- Balancing Task Allocation in Multi-robot Systems Using adpK-Means Clustering Algorithm -- 1 Introduction -- 2 Problem Statement -- 3 AdpK-Means Clustering Algorithm -- 3.1 K-Means Clustering Algorithm -- 3.2 AdpK-Means Clustering Algorithm Task Allocation -- 3.3 Path Planning -- 3.4 Algorithm Overall Steps -- 4 Experiments. , 4.1 Parameter Analysis Experiment -- 4.2 Comparison with Basic K-Means Experiment -- 5 Conclusions and Future Work -- References -- Reinforcement Learning for Extreme Multi-label Text Classification -- 1 Introduction -- 2 Related Works and Background -- 2.1 Methods for Text Classification -- 2.2 Chinaso Application -- 3 Reinforcement Learning -- 4 Performance Evaluation -- 4.1 Datasets -- 4.2 Experimental Validation Results -- 5 Conclusion and Future Work -- References -- Manipulation -- Multimodal Object Analysis with Auditory and Tactile Sensing Using Recurrent Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Tactile Object Analysis and Classification -- 2.2 Acoustic Object Analysis and Classification -- 2.3 Multimodal Object Analysis and Classification -- 3 Experiment Setup -- 3.1 Sensors -- 3.2 Pill Container -- 3.3 Dataset Recording -- 4 Data Preprocessing -- 4.1 Sample Selection -- 4.2 Auditory Data -- 4.3 Tactile Data -- 5 Neural Network Architecture -- 6 Results -- 7 Conclusion -- References -- A Novel Pose Estimation Method of Object in Robotic Manipulation Using Vision-Based Tactile Sensor -- 1 Introduction -- 2 Related Works -- 3 The Proposed Methodology -- 3.1 Tactile Sensor -- 3.2 Pose Estimation with Vision-Based Tactile Sensor -- 4 Experiments and Results -- 5 Conclusion -- References -- Design and Implementation of Pneumatic Soft Gripper with Suction and Grasp Composite Structure -- 1 Introduction -- 2 Design of Soft Gripper with Suction and Grasp Composite Structure -- 2.1 Suction and Grasp Composite Structure Design -- 2.2 Soft Gripper -- 2.3 Vacuum Adsorption Unit -- 3 Design of Soft Gripper Control System -- 3.1 Hardware Control System -- 3.2 Software Control System -- 4 The Soft Gripper Is Combined with the UR Arm -- 5 Grasping Experiment and Analysis -- 6 Conclusion -- References. , Movement Primitive Libraries Learning for Industrial Manipulation Tasks.
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  • 2
    Online Resource
    Online Resource
    Cognitive Systems and Information Processing : 6th International Conference, ICCSIP 2021, Suzhou, China, November 20-21, 2021, Revised Selected Papers. (2022)
    Singapore :Springer Singapore Pte. Limited,
    Details
    Keywords: Computational intelligence-Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (555 pages)
    Edition: 1st ed.
    ISBN: 9789811692475
    Series Statement: Communications in Computer and Information Science Series ; v.1515
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6852349
    DDC: 006.31
    Language: English
    Note: Intro -- Preface -- Organization -- Contents -- Algorithm -- WeaveNet: End-to-End Audiovisual Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Multistage Fusion -- 2.2 Fusion Strategies -- 3 Proposed Approach -- 3.1 Overview of Network Architecture -- 3.2 Formulation and Alignment -- 3.3 Modules in Details -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Performance Comparison with State-of-the-art -- 4.3 Analysis of the Proposed Approach -- 5 Conclusion -- References -- Unsupervised Semantic Segmentation with Contrastive Translation Coding -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 General Formulation -- 3.2 Architecture -- 3.3 Three-Stage Training Paradigm -- 4 Experiments -- 4.1 Dataset -- 4.2 Setup -- 4.3 Evaluation Metrics -- 4.4 Comparisons with State of the Arts -- 4.5 Ablation Study -- 4.6 Visualization of Results -- 5 Conclusion -- References -- Multi-class Feature Selection Based on Softmax with L2,0-Norm Regularization -- 1 Introduction -- 2 Related Work -- 2.1 Notations and Definitions -- 2.2 Structured Sparsity Based Feature Selection -- 3 Ours Method -- 3.1 Optimization Algorithm -- 4 Experiments -- 4.1 Datasets Descriptions -- 4.2 Experiment Setup -- 4.3 Experiment Result -- 4.4 Parameter Sensitivity -- 5 Conclusion -- References -- Dynamic Network Pruning Based on Local Channel-Wise Relevance -- 1 Introduction -- 2 Related Work -- 3 Efficient Channel Dynamic Pruning -- 3.1 Preliminaries -- 3.2 Proposed Module -- 3.3 Channel Attention Prediction -- 3.4 Channel Dynamic Pruning -- 3.5 Computation Complexity -- 4 Experimental Results -- 4.1 Experimental Results and Analysis -- 4.2 Ablation Studies -- 5 Conclusion -- References -- High-Confidence Sample Labelling for Unsupervised Person Re-identification -- 1 Introduction -- 2 Related Work -- 2.1 Supervised Person Re-identification. , 2.2 Unsupervised Person Re-identification -- 3 Proposed Method -- 3.1 HCSL Architecture -- 3.2 Iterative Pseudo Labeling -- 3.3 Loss Function -- 3.4 Model Updating -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Effectiveness of HCSL -- 5 Conclusion -- References -- DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions -- 1 Introduction -- 2 Notation and Preliminaries -- 2.1 Notation -- 2.2 Online Non-convex Optimization -- 2.3 Adam -- 3 Algorithm Design of DAda-NC -- 4 Experiments -- 4.1 Datasets and Parameter Settings -- 4.2 Image Classification -- 4.3 Language Processing -- 5 Conclusion -- 6 Future Work -- References -- A Scalable 3D Array Architecture for Accelerating Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Background and Preliminaries -- 2.1 Multi-dimensional Array Architecture -- 2.2 Data Partition Strategy Within Parallel Model -- 3 Our Proposed 3D-CNN-Array -- 3.1 Convolution on Single 3D-CNN-Array Node -- 3.2 Data Partition Strategy -- 3.3 Contribution of the 3D-CNN-Array -- 4 Hardware Implementation of Proposed 3D-CNN-Array -- 4.1 Implementation of Single Node Module -- 4.2 High Speed Communication Module Between Nodes -- 5 Experimental Results -- 6 Future Work -- 7 Conclusion -- Acknowledgement -- References -- Few-Shot Learning Based on Convolutional Denoising Auto-encoder Relational Network -- Abstract -- 1 Introduction -- 2 Network Structure -- 2.1 Feature Extraction Network -- 2.2 Convolution Denoising Auto-encoder Relational Network -- 2.3 Network Model Framework -- 3 Experiment -- 3.1 Experiment Data -- 3.2 Setting of Training Hyperparameters -- 4 Experiment Result -- 5 Conclusion -- Acknowledgements -- References -- DICE: Dynamically Induced Cross Entropy for Robust Learning with Noisy Labels -- 1 Introduction -- 2 Recent Works -- 3 Methods. , 3.1 Dynamically Induced Cross-Entropy -- 3.2 Multi-stage Training Method -- 3.3 Negative Sampling -- 3.4 Label-Smoothing -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Experiment Result -- 5 Conclusion -- References -- ConWST: Non-native Multi-source Knowledge Distillation for Low Resource Speech Translation -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: ConWST -- 3.1 Problem Formulation -- 3.2 Encoder -- 3.3 Decoder -- 4 Experimental Setting -- 4.1 Datasets -- 4.2 Training and Decoding Details -- 5 Main Results -- 5.1 Baseline Work -- 5.2 BPE Improving of Raw Phone Sequence -- 5.3 Improvements from Knowledge Distillation -- 5.4 Data Ablation for Encoder and Decoder Training -- 6 Discussion -- 7 Conclusion -- References -- Functional Primitive Library and Movement Sequence Reasoning Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 Imitation Learning Framework -- 2.2 Reasoning Algorithm -- 3 Functional Primitives Library -- 3.1 Learning from Demonstration -- 3.2 Skill Function Representation -- 3.3 Structure of Functional Primitive Library -- 4 Reasoning Algorithm -- 5 Experiments -- 6 Conclusion -- References -- Constrained Control for Systems on Lie Groups with Uncertainties via Tube-Based Model Predictive Control on Euclidean Spaces -- 1 Introduction -- 1.1 Motivation and Background -- 1.2 Contributions -- 1.3 Notation -- 2 Background and Problem Formulation -- 2.1 System Dynamics and Preliminaries -- 2.2 Problem Formulation -- 3 Tube-Based MPC Design -- 3.1 Nominal MPC -- 3.2 Feedback Control for the Disturbed System on Matrix Lie Group -- 3.3 Constraints Revision from Tube -- 4 Application Example -- 4.1 Rotational Dynamics of Rigid Body -- 4.2 Feedback Control and Invariant Set of Tracking Error -- 4.3 Tube-Based MPC for Rotational Motion of Rigid Bodies -- 4.4 Simulation -- 5 Conclusions. , References -- Vision -- Social-Transformer: Pedestrian Trajectory Prediction in Autonomous Driving Scenes -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Problem Definition -- 3.2 Model Description -- 4 Experiments -- 4.1 Datasets and Evaluation Metrics -- 4.2 Quantitative Analysis -- 4.3 Qualitative Analysis -- 5 Conclusions -- References -- GridPointNet: Grid and Point-Based 3D Object Detection from Point Cloud -- 1 Introduction -- 2 Related Work -- 2.1 Image-Based 3D Object Detection -- 2.2 Grid-Based 3D Object Detection -- 2.3 Point-Based 3D Object Detection -- 3 GridPointNet -- 3.1 3D Proposal Generation -- 3.2 Features Aggregation -- 3.3 Proposal Refinement -- 4 Experiments -- 4.1 Dataset -- 4.2 Results -- 5 Conclusion -- References -- Depth Image Super-resolution via Two-Branch Network -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Network Architecture -- 4 Experiment -- 5 Conclusion -- References -- EBANet: Efficient Boundary-Aware Network for RGB-D Semantic Segmentation -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 RGB-D Semantic Segmentation -- 2.2 Attention Mechanism -- 3 Method -- 3.1 Overview -- 3.2 Boundary Attention Branch -- 3.3 Hybrid Loss -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Results on NYUv2 -- 4.3 Ablation Study on NYUv2 -- 5 Conclusion -- Acknowledgment -- References -- Camouflaged Object Segmentation with Transformer -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 COS Transformer Encoder -- 3.2 Decoder Module -- 3.3 Loss Function -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison with the State-of-the-Arts -- 4.3 Ablation Study -- 5 Conclusion -- References -- DGrid: Dense Grid Network for Salient Object Detection -- 1 Introduction -- 2 The Proposed Method -- 2.1 Extended Network Module -- 2.2 Fusion Module -- 2.3 Model Training -- 3 Experiments. , 3.1 Datasets and Evaluation Metrics -- 3.2 Implementation Details -- 3.3 Ablation Analysis -- 3.4 Comparison with the State-of-the-Art -- 4 Conclusion -- References -- A Multi-frame Lane Detection Method Based on Deep Learning -- Abstract -- 1 Introduction -- 2 Lane Detection Network -- 2.1 Spatiotemporal Information Fusion Network Model UNET_CL -- 2.2 The Network Model UNET_CLB Based on the Fusion of Spatiotemporal Information and Deep Information -- 3 Verification Based on Public Datasets -- 3.1 Public Datasets and Evaluation Indicators -- 3.2 Contrast Experiment of Network the Number of Input Frame Based on UNET_CL Network Model -- 3.3 Contrast Experiment of Layer Skip Connection Method Based on UNET_CL Network Model -- 3.4 Contrast Experiment on the Number of Dense_NET Blocks Based on UNET_CLB Network Model -- 3.5 Contrast of UNET_CLB Network Model and Existing Models -- 4 Simulation Verification -- 4.1 Simulation Environment and Simulation Dataset -- 4.2 Training Result -- 4.3 Simulation Result -- 5 Conclusion -- References -- Ensemble Deep Learning Based Single Finger-Vein Recognition -- 1 Introduction -- 1.1 Related Work -- 1.2 Motivation -- 2 Proposed Method System and Our Contributions -- 3 Ensemble Learning for SSPP Finger-Vein Recognition -- 3.1 Feature Extraction -- 3.2 Convolutional Neural Networks -- 3.3 Shared Learning -- 3.4 Learning Speed Adjustment -- 3.5 Ensemble Classifier -- 3.6 Structure of Train Process -- 4 Experiments -- 4.1 Finger-Vein Database -- 4.2 Experiment Setup -- 4.3 Performance Impacted by Learning Speed -- 4.4 Performance Comparisons -- 5 Conclusion -- References -- Hand-Dorsa Vein Recognition Based on Local Deep Feature -- Abstract -- 1 Introduction -- 2 Lab-Made Hand Vein Database -- 3 Local Deep Feature -- 3.1 Vein Patches Model (VPM) -- 3.2 Fusion -- 4 Experiments and Analysis. , 4.1 Identity Recognition of Hand-Dorsa Vein Information.
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  • 3
    Electronic Resource
    Electronic Resource
    Morphology and properties of polyurethane/poly(methyl methacrylate) interpenetrating polymer networks by Co60-γ rayProject supported by Youth Science Foundation of Shanghai. (1992)
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Applied Polymer Science 44 (1992), S. 1165-1169 
    Details
    ISSN: 0021-8995
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: PU/PMMA IPNs were first synthesized using Co60-γ radiation. The morphology, glass transition behavior, and mechanical properties of the formed IPNs have been studied by TEM, DSC, and electron tensile testing machine. The TEM micrographs and the results of DSC showed that Co60-γ radiation was effective for obtaining small volume sizes of phase domains in IPNs. The structure with two continuous phases occurs in the content range of 40% to 70% PU. The ability of interpenetration enhanced with increasing the content of the crosslinking agents. The mechanical properties of IPNs reflected very good synergistic behavior.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/app.1992.070440705
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    Fulltext
  • 4
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    Conservation of DNA and ligand binding properties of retinoid X receptor from the placozoan Trichoplax adhaerens to human (2018)
    Details
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2018. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Journal of Steroid Biochemistry and Molecular Biology 184 (2018): 3-10, doi:10.1016/j.jsbmb.2018.02.010.
    Description: Nuclear receptors are a superfamily of transcription factors restricted to animals. These transcription factors regulate a wide variety of genes with diverse roles in cellular homeostasis, development, and physiology. The origin and specificity of ligand binding within lineages of nuclear receptors (e.g., subfamilies) continues to be a focus of investigation geared toward understanding how the functions of these proteins were shaped over evolutionary history. Among early-diverging animal lineages, the retinoid X receptor (RXR) is first detected in the placozoan, Trichoplax adhaerens. To gain insight into RXR evolution, we characterized ligand- and DNA-binding activity of the RXR from T. adhaerens (TaRXR). Like bilaterian RXRs, TaRXR specifically bound 9-cis-retinoic acid, which is consistent with a recently published result and supports a conclusion that the ancestral RXR bound ligand. DNA binding site specificity of TaRXR was determined through protein binding microarrays (PBMs) and compared with human RXR. The binding sites for these two RXR proteins were broadly conserved (~85% shared high-affinity sequences within a targeted array), suggesting evolutionary constraint for the regulation of downstream genes. We searched for predicted binding motifs of the T. adhaerens genome within 1000 bases of annotated genes to identify potential regulatory targets. We identified 648 unique protein coding regions with predicted TaRXR binding sites that had diverse predicted functions, with enriched processes related to intracellular signal transduction and protein transport. Together, our data support hypotheses that the original RXR protein in animals bound a ligand with structural similarity to 9-cis-retinoic acid; the DNA motif recognized by RXR has changed little in more than 1 billion years of evolution; and the suite of processes regulated by this transcription factor diversified early in animal evolution.
    Description: Support for AMT was provided by the Tropical Research Initiative and an Internal Research and Development Award from the Woods Hole Oceanographic Institution. AMR was supported by NIH award R15GM114740. JM was supported by NSF award 1536530 to AMR. DM-P, BF and FMS were supported by NIH award R01DK094707 to FMS.
    Keywords: DNA binding motif ; Nuclear receptor ; Protein binding microarray
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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    PAPER (OA)
  • 5
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    Proteome and phosphoproteome analysis of honeybee (Apis mellifera) venom collected from electrical stimulation and manual extraction of the venom gland (2013)
    BioMed Central
    Details
    Publication Date: 2013-11-08
    Description: Background: Honeybee venom is a complicated defensive toxin that has a wide range of pharmacologically active compounds. Some of these compounds are useful for human therapeutics. There are two major forms of honeybee venom used in pharmacological applications: manually (or reservoir disrupting) extracted glandular venom (GV), and venom extracted through the use of electrical stimulation (ESV). A proteome comparison of these two venom forms and an understanding of the phosphorylation status of ESV, are still very limited. Here, the proteomes of GV and ESV were compared using both gel-based and gel-free proteomics approaches and the phosphoproteome of ESV was determined through the use of TiO2 enrichment. Results: Of the 43 proteins identified in GV, 〈 40% were venom toxins, and 〉 60% of the proteins were non-toxic proteins resulting from contamination by gland tissue damage during extraction and bee death. Of the 17 proteins identified in ESV, 14 proteins (〉80%) were venom toxic proteins and most of them were found in higher abundance than in GV. Moreover, two novel proteins (dehydrogenase/reductase SDR family member 11-like and histone H2B.3-like) and three novel phosphorylation sites (icarapin (S43), phospholipase A-2 (T145), and apamin (T23)) were identified. Conclusions: Our data demonstrate that venom extracted manually is different from venom extracted using ESV, and these differences may be important in their use as pharmacological agents. ESV may be more efficient than GV as a potential pharmacological source because of its higher venom protein content, production efficiency, and without the need to kill honeybee. The three newly identified phosphorylated venom proteins in ESV may elicit a different immune response through the specific recognition of antigenic determinants. The two novel venom proteins extend our proteome coverage of honeybee venom.
    Electronic ISSN: 1471-2164
    Topics: Biology
    Published by BioMed Central
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  • 6
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    Mechanical Properties of Methane Hydrate: Intrinsic Differences from Ice (2018)
    ACS Publications
    In:  Journal of Physical Chemistry C, 122 . pp. 29081-29093.
    Details
    Publication Date: 2020-01-02
    Description: Understanding fundamental mechanical behaviors of ice-like crystals is of importance in many engineering aspects. Herein, mechanical characteristics of monocrystalline methane hydrate (MMH) and hexagonal ice (Ih) under mechanical loads are contrasted by atomistic simulations. Effects of engineering strain rate, temperature, crystal orientation, and occupancy of guest molecules on the mechanical properties of MMH are investigated. Results show that the engineering strain rate, temperature, and occupancy of guest molecules in 51262 cages greatly affect the mechanical strength and failure strain of MMH, whereas the effect of crystal orientation on the tensile response of MMH such as along the [100] and [110] directions is negligible. Particularly, the occupancy of guest molecules in 51262 cages primarily governs the mechanical strength and elastic limits of MMH. For Ih, it is tensile stiffer than that of MMH at 263.15 K and 10 MPa, and shows unique mechanical characteristics such as tension-induced stiffening and compression-induced remarkable softening under the [0001] directional load. Both crystals demonstrate brittle fracture behavior but different plasticity with dislocation-free in MMH yet dislocation activities in Ih. The intrinsic differences in the mechanical properties of MMH and monocrystalline Ih mainly result from the host–guest molecule interactions and relative angles which tetrahedral hydrogen bonds make to the loading direction. These mechanical characteristics present microscopic insights to understand the mechanical responses of naturally occurring and artificial synthetic gas hydrates.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1021/acs.jpcc.8b06002
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 7
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    In-Depth N-Glycosylation Reveals Species-Specific Modifications and Functions of the Royal Jelly Protein from Western (Apis mellifera) and Eastern Honeybees (Apis cerana) (2015)
    American Chemical Society (ACS)
    Details
    Publication Date: 2015-11-04
    Description: Journal of Proteome Research DOI: 10.1021/acs.jproteome.5b00829
    Print ISSN: 1535-3893
    Electronic ISSN: 1535-3907
    Topics: Chemistry and Pharmacology
    Published by American Chemical Society (ACS)
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  • 8
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    Proteome Analysis of Hemolymph Changes during the Larval to Pupal Development Stages of Honeybee Workers (Apis mellifera ligustica) (2013)
    American Chemical Society (ACS)
    Details
    Publication Date: 2013-09-19
    Description: Journal of Proteome Research DOI: 10.1021/pr400519d
    Print ISSN: 1535-3893
    Electronic ISSN: 1535-3907
    Topics: Chemistry and Pharmacology
    Published by American Chemical Society (ACS)
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  • 9
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    Copper-Promoted Sandmeyer Trifluoromethylation Reaction (2013)
    American Chemical Society (ACS)
    Details
    Publication Date: 2013-06-04
    Description: Journal of the American Chemical Society DOI: 10.1021/ja404217t
    Print ISSN: 0002-7863
    Electronic ISSN: 1520-5126
    Topics: Chemistry and Pharmacology
    Published by American Chemical Society (ACS)
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  • 10
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    Adaptation and possible ancient interspecies introgression in pigs identified by whole-genome sequencing (2015)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2015-02-26
    Description: Nature Genetics 47, 217 (2015). doi:10.1038/ng.3199 Authors: Huashui Ai, Xiaodong Fang, Bin Yang, Zhiyong Huang, Hao Chen, Likai Mao, Feng Zhang, Lu Zhang, Leilei Cui, Weiming He, Jie Yang, Xiaoming Yao, Lisheng Zhou, Lijuan Han, Jing Li, Silong Sun, Xianhua Xie, Boxian Lai, Ying Su, Yao Lu, Hui Yang, Tao Huang, Wenjiang Deng, Rasmus Nielsen, Jun Ren & Lusheng Huang
    Print ISSN: 1061-4036
    Electronic ISSN: 1546-1718
    Topics: Biology , Medicine
    Published by Nature Publishing Group (NPG)
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