A5100648730- Cellular Mechanics and Interactions
- Micro and Nano Robotics
- 3D Printing in Biomedical Research
- Cancer Cells and Metastasis
- Interconnection Networks and Systems
- Modular Robots and Swarm Intelligence
- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- Distributed Control Multi-Agent Systems
- Microfluidic and Bio-sensing Technologies
- Advanced Thermodynamics and Statistical Mechanics
- Cell Image Analysis Techniques
- Mathematical Biology Tumor Growth
- Metal-Organic Frameworks: Synthesis and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Advanced Sensor and Energy Harvesting Materials
- Magnetism in coordination complexes
- Conducting polymers and applications
- Gene Regulatory Network Analysis
- Cancer, Lipids, and Metabolism
- Evolution and Genetic Dynamics
- Network Time Synchronization Technologies
- Orbital Angular Momentum in Optics
- Graph Theory and Algorithms
- Cryptographic Implementations and Security
University of Chinese Academy of Sciences
2023-2024
Chongqing University
2019-2022
Shanghai Key Laboratory of Trustworthy Computing
2021
East China Normal University
2021
Third Affiliated Hospital of Nanchang University
2012
Nanchang University
2012
Cicatelli Associates
2005
Performance of triboelectric nanogenerators is limited by low and unstable charge density on tribo-layers. An external-charge pumping method was recently developed presents a promising efficient strategy towards high-output nanogenerators. However, integratibility accumulation efficiency the system rather low. Inspired historical development electromagnetic generators, here, we propose realize self-charge excitation nanogenerator high stable output in analogy to principle traditional...
Abstract Owing to the advantages of integration and being magnet-free light-weight, switched-capacitor-convertor plays an increasing role compared traditional transformer in some specific power supply systems. However, high output impedance switching loss largely reduces its efficiency, due imperfect topology transistors. Herein, we propose a fractal-design based switched-capacitor-convertors with characteristics including conversion minimum impedance, electrostatic voltage applicability. As...
We present an ecology-inspired form of active matter consisting a robot swarm. Each moves over planar dynamic resource environment represented by large light-emitting diode array in search maximum light intensity; the robots deplete (dim) locally their presence local intensity and seek intensity. Their movement is directed along steepest gradient; we call this emergent symmetry breaking motion "field drive." show there emerge spatial transitions similar to gas, crystalline, liquid, glass,...
Significance We present a fully realized adaptive resource landscape with diploid three-gene robots presenting interacting roles of population dynamics, mutations, breeding, death, and birth. Although modeling theory serves as guide here, the inherent complexity our robobiology world makes it an experiment in exploring rules Darwinian natural selection at level difficult to simulate. find that lower genetic diversity, survival probability robot population. propose gene can act avatars...
Previous experimental evidence has suggested that fatty acid synthase (FASN) may be involved in cancer metastasis. However, its role been poorly evaluated osteosarcoma. The aim of this study was to investigate the correlation FASN expression with pulmonary metastasis and Ki-67 antigen, a proliferation marker, patients osteosarcoma extremities. protein detected by immunohistochemistry biopsy tissues from 136 extremities 21 cases osteoenchondroma. Positive observed located cytoplasm. positive...
Fatty acid synthase (FASN) is overexpressed in a variety of human cancers, and may be involved cancer metastasis. Hence, the strategies targeted on FASN have therapeutic potential for treating metastasis.The aim this study to investigate correlation expression with metastasis osteosarcoma.Human osteosarcoma cell lines U2-OS biopsy specimens were employed study. The protein was detected by IHC (immunohistochemistry) relationship analyzed. We performed cerulenin, an inhibitor FASN, inhibit...
At CRYPTO 2019, Gohr first proposes a deep learning based attack on round-reduced Speck32/64. It is an all-in-one differential approach under the Markov assumption. Then Baksi presents method for non-Markov ciphers and applies it to Gimli by simulating differentials. However, all studies are still only single-key distinguishers selection of input difference traditional cryptanalysis. Inspired work Baksi, we extend apply machine techniques related-key time propose novel develop (related-key)...
A microchamber array with composite ECM device enables the construction of a more realistic model for investigating cancer migration mechanisms and has potential to serve as platform personalized medicine screening.
We constructed elastic artificial vessels with a digital pulse flow system, which provide an <italic>in vitro</italic> research platform that approaches the vivo</italic> microenvironment and facilitates quantitative study on investigating risk of restenosis vasospasm.
We theoretically show that isolated agents locally and symmetrically consume resources sense positive resource gradients can generate constant motion via bootstrapped in the absence of any externally imposed gradients, we a realization this using robots. This self-generated agent be coupled with neighboring to act as spontaneously broken symmetry seed for emergent collective dynamics. also sufficiently weak gradient, it is possible an move against external gradient due local depression on...
In this research, we present an intelligent forklift cargo precision transfer system to address the issue of poor pallet docking accuracy and low recognition rate when using current techniques. The technology is primarily used automatically check if there any that need be transported. then sent area target after being recognized. Images pallets are collected forklift's camera, a deep learning-based algorithm calculate precise position pallets. Finally, controlled by high-precision control...
Boundary effect and time-reversal symmetry are hot topics in active matter. We present a biology-inspired robot-environment-interaction matter system with the field-drive motion rules of resource search, consumption, recovery. In an environmental compression–expansion cycle, swarm emerges series boundary-dependent phase transitions, whole evolution process is symmetry-breaking; we call this phenomenon “orderly hysteresis”. influence recovery rate on dynamic collective behavior swarm.
How biologically active matters survive adaptively in complex and changeable environments is a common concern of scientists. Genetics, evolution natural selection are vital factors the process biological also key to survival harsh environments. However, it challenging intuitively accurately reproduce such long-term adaptive processes laboratory. Although simulation experiments intuitive efficient, they lack fidelity. Therefore, we propose use swarm robots study matter swarms Based on...
Cell migration in anisotropic microenvironment plays an important role the development of normal tissues and organs as well neoplasm progression, e.g. , osteogenic differentiation embryonic stem cells was facilitated on stiffer substrates, indicating that mechanical signals greatly affect both early terminal cells. However, effect anisotropy cell dynamics, particular, terms acceleration profiles which is for recognizing dynamics modes analyzing regulation mechanisms signal transmission, has...
Abstract Inertial underdamped collisions preserve the memory of physical parameters that existed before collision, leading to phenomena usually unseen in overdamped systems. Here we probe less studied inertial chiral matter with spinners on an air table. We show here emergence high levels spin for a minority (+) handed presence majority (−) (vice versa). This deep violation equipartition occurs due (memory preserving) nature elastic between translating and rotating objects. Underdamped same...
The process of in situ tumors developing into malignant and exhibiting invasive behavior is extremely complicated . From a biophysical point view, it phase change affected by many factors, including cell-to-cell, cell-to-chemical material, cell-to-environment interaction, etc In this study, we constructed spheroids based on green fluorescence metastatic breast cancer cells MDA-MB-231 to simulate vitro , while three-dimensional (3D) biochip micro-environment for the growth invasion spheroids....
Cell migration, which is regulated by intracellular signaling pathways (ICSP) and extracellular matrix (ECM), plays an indispensable role in many physiological pathological process such as normal tissue development cancer metastasis. However, there a lack of rigorous quantitative tools for analyzing the time-varying characteristics cell migration heterogeneous microenvironment, resulted from, e.g. time-dependent local stiffness due to microstructural remodeling migrating cells. Here, we...
The in vivo tumor microenvironment is a complex niche that includes heterogeneous physical structures, unique biochemical gradients and multiple cell interactions. Its high-fidelity vitro reconstruction of fundamental importance to improve current understandings behavior, efficacy predictions drug safety. In this study, we have developed high-throughput biochip with hundreds composite extracellular matrix (ECM) microchambers co-culture invasive breast cancer cells (MDA-MB-231-RFP) normal...