586 research outputs found
Corrigendum to ‘Thiophene donor for NIR-II fluorescence imaging guided photothermal/photodynamic/chemo combination therapy’ [Acta Biomaterialia 127 (2021) 287-297]
No full textThe authors regret to report that the affiliation for author Dewen Liu was published incorrectly. The correct affiliation is as follows: Artemisinin Research Center, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China. The authors apologise for any inconvenience caused.link_to_subscribed_fulltex
1st International Conference on Cognitive Systems and Information Processing
No full text"Foundations and Practical Applications of Cognitive Systems and Information Processing" presents selected papers from the First International Conference on Cognitive Systems and Information Processing, held in Beijing, China on December 15-17, 2012 (CSIP2012). The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in artificial cognitive systems and advanced information processing, and to present new findings and perspectives on future development. This book introduces multidisciplinary perspectives on the subject areas of Cognitive Systems and Information Processing, including cognitive sciences and technology, autonomous vehicles, cognitive psychology, cognitive metrics, information fusion, image/video understanding, brain-computer interfaces, visual cognitive processing, neural computation, bioinformatics, etc. The book will be beneficial for both researchers and practitioners in the fields of Cognitive Science, Computer Science and Cognitive Engineering. Fuchun Sun and Huaping Liu are both professors at the Department of Computer Science & Technology, Tsinghua University, China. Dr. Dewen Hu is a professor at the College of Mechatronics and Automation, National University of Defense Technology, Changsha, China
Key Lipoprotein Receptor Targeted Echinacoside-Liposomes Effective Against Parkinson’s Disease in Mice Model
No full textZemin Ou, Yun You, Hong Yi, Xiaoqian Liu, Yan Tong, Dewen Liu, Jinyu Wang Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of ChinaCorrespondence: Dewen Liu; Jinyu Wang, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 10700, People’s Republic of China, Email [email protected]; [email protected]: Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by the degeneration of dopaminergic neurons in the substantia nigra. The precise molecular mechanisms underlying neuronal loss in PD remain unknown, and there are currently no effective treatments for PD-associated neurodegeneration. Echinacoside (ECH) is known for its neuroprotective effects, which include scavenging cellular reactive oxygen species and promoting mitochondrial fusion. However, the blood-brain barrier (BBB) limits the bioavailability of ECH in the brain, posing a significant challenge to its use in PD treatment.Methods: We synthesized and characterized PEGylated ECH liposomes (ECH@Lip) and peptide angiopep-2 (ANG) modified liposomes (ECH@ANG-Lip). The density of ANG in ANG-Lip was optimized using bEnd.3 cells. The brain-targeting ability of the liposomes was assessed in vitro using a transwell BBB model and in vivo using an imaging system and LC-MS. We evaluated the enhanced neuroprotective properties of this formulation in a the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD model.Results: The ECH@ANG-Lip demonstrated significantly higher whole-brain uptake compared to ECH@Lip and free ECH. Furthermore, ECH@ANG-Lip was more effective in mitigating MPTP-induced behavioral impairment, oxidative stress, dopamine depletion, and dopaminergic neuron death than both ECH@Lip and free ECH.Conclusion: The formulation used in our study significantly enhanced the neuroprotective efficacy of ECH in the MPTP-induced PD model. Thus, ECH@ANG-Lip shows considerable potential for improving the bioavailability of ECH and providing neuroprotective effects in the brain.Keywords: nanomedicine, brain delivery, angiopep-2, echinacoside, Parkinson’s disease, liposome
Densification of high-strength B4C-TiB2 composites fabricated by pulsed electric current sintering of TiC-B mixture
No full textThe densification and mechanical properties of B4C-TiB2 composites fabricated by reactive pulsed electric current sintering from a mixture of TiC and amorphous B powders were investigated. The excess of B was essential to remove the carbon produced by the reaction. The degassing process at 1900 degrees C before applying a 50 MPa external pressure greatly improved the densification of the composites. The B4C-41 vol% TiB2 composite obtained at the optimum condition had a high 3-point bending strength of 891 MPa, a Vickers hardness of 28 GPa and a fracture toughness of 4.4 MPa m(1/2), respectively. (C) 2017 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved
Stabilization of Thermoelectric Properties of the Cu/Bi0.48Sb1.52Te3 Composite for Advantageous Power Generation
No full textBi2Te3 thermoelectric materials have been developed for refrigeration around room temperature. But the ZT values decrease quickly above 400 K, which need to be improved for applications in power generation. In the present work, P-type Cu/BiSbTe alloys have been prepared via a zone melting method followed by spark plasma sintering. Due to the effects of Cu powders, the as-prepared materials exhibit a shift of the peak Seebeck coefficient value towards higher temperature and suppressed lattice thermal conductivity with increasing Cu powders. A peak ZT value as high as 0.87 has been obtained around 500 K in the BiSbTe alloy with 1 wt.% Cu powder addition, and the ZT values stabilize above 0.8 from 375 K to 550 K. This high and stable value for BiSbTe alloys at such a high temperature is very attractive for its application in power generation devices
Discussion of skill improvement in marine ecosystem dynamic models based on parameter optimization and skill assessment
No full textShen C, Shi H, Liu Y, Li F, Ding D. Discussion of skill improvement in marine ecosystem dynamic models based on parameter optimization and skill assessment. Chinese Journal of Oceanology and Limnology. 2016;34(4):683-696
Sustainability and Resiliency of Building Materials and Structures
No full textThe sustainability and resiliency of building materials and structures under single/multiple loading conditions should also be worthy of attention, since complex loading conditions would reduce the durability performance of building materials and structures, especially under fire/high temperatures, freeze–thaw cycling, dry-wet cycling, and salt corrosion. The aim of this Special Issue is to publish papers that advance the sustainability and resiliency of building materials and structures under complex loading conditions
Rural Labor Absorption Efficiency in Urban Areas under Different Urbanization Patterns and Industrial Structures: The Case of China
No full textIn this paper, we use Data Envelopment Analysis (DEA) to estimate how well China’s urban areas absorb migrant workers under the interaction of urbanization and industrialization. We applied an output-oriented BCC model to evaluate provincial and regional rural labor absorption efficiency in mainland China. It appears that 4 out of 31 provinces and municipals are efficient, and 2 out of 8 economic regions are efficient in absorbing migrant workers. In the southern and eastern parts of China, urban labor absorption efficiency is higher compared with the western and northern parts of China. Different urbanization patterns and industrial development strategies should be adopted in different economic areas to enhance labor absorption ability in these areas. Urban areas in many parts of China still have potential to accommodate rural migrant workers. The inter-regional flow of production factors would affect urban labor absorption efficiency.rural labor absorption in urban areas, urbanization, industry structure, DEA
External force detection for physical human-robot interaction using dynamic model identification
No full textNowadays as more and more tasks require humans to collaborate with robots in modern industry, and the focus of many robotic researchers worldwide has turned towards human-robot collaboration. In human-robot interaction, ensuring the safety issues has the absolute priority for all other research work. In this context, sensorless collision detection and fast response researches in robotics contribute significantly to solve the safety issues. However, existing approaches for collision detection involve in the usage of external sensors, not fit for closed industrial robots or the offline observer based on robot’s the generalized momentum, poor in the real time response. In this study, a different method of external forces detection for sensor-less industrial robots using dynamics model identification is proposed. The main idea of our method is to identify the external torques by the comparison of the actual motor torques with the predicted joint torques based on dynamics model. Without using any extra sensors, a strict dynamics model including the parameterized friction torques has been formulated only by utilizing the measurements of the joint angles and joint torques. In addition, the essential response strategies in the post-contact stage are the main directions for our following research. Finally, the model accuracy and performance of the proposed method were evaluated in a 6-DOF manipulator. The experimental results demonstrated the reliability of our detection method basically.</p
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