- Soft Robotics and Applications
- Mechanical Circulatory Support Devices
- Building Energy and Comfort Optimization
- Robotic Path Planning Algorithms
- Textile materials and evaluations
- Machine Fault Diagnosis Techniques
- Energy Load and Power Forecasting
- Thermoregulation and physiological responses
- Iterative Learning Control Systems
- Distributed Control Multi-Agent Systems
- Modular Robots and Swarm Intelligence
- Acute Ischemic Stroke Management
- Mineral Processing and Grinding
- Intracerebral and Subarachnoid Hemorrhage Research
- Geoscience and Mining Technology
- Antimicrobial Peptides and Activities
- Optical Imaging and Spectroscopy Techniques
- Machine Learning and ELM
- Dielectric materials and actuators
- Grouting, Rheology, and Soil Mechanics
- Reinforcement Learning in Robotics
- Infectious Encephalopathies and Encephalitis
- Fibroblast Growth Factor Research
- Robotic Locomotion and Control
- Power System Reliability and Maintenance
Shenzhen University
2024
Zhejiang University
2013-2024
First Affiliated Hospital Zhejiang University
2022-2024
Zhongnan Hospital of Wuhan University
2024
Wuhan University
2024
Huazhong University of Science and Technology
2024
ShenZhen People’s Hospital
2024
Jiangsu Vocational Institute of Architectural Technology
2012-2022
Jiangsu University
2021-2022
Affiliated Hospital of Jiangsu University
2021-2022
The construction of large structures is one the main development trends space exploration in future, such as stations, solar power and telescopes. It important tendency, which aims to make full use robots assemble autonomously aerospace industry. Considering that on-orbit assembly an effective method solve problem large-scale spatial structures, it necessary motivate facilitate research robotics technologies for assembly. Therefore, this paper, status robot technology relevant recent decades...
Abstract In this paper, a variable structure pneumatic soft robot is proposed. Its in that when it grasps irregular objects, can adapt to different sizes by active expansion or contraction. range from diameter 200 300 mm, its four actuators (SPAs) be rotated independently shapes, and has high flexibility. The compliant grasping method enables capture at the best position, which improve success rate of reduce damage object being grasped. experiment proves effectiveness mechanism, proposed low...
SignificanceWe report the development of peptidomimetic antibiotics derived from a natural antimicrobial peptide, human α-defensin 5. By engaging multiple bacterial targets, lead compound is efficacious in vitro and vivo against bacteria with highly inducible antibiotic resistance, promising useful therapeutic agent for treatment infections caused by antibiotic-resistant bacteria.
Soft robots have the characteristics of good adaptability to an environment. But at present, most soft only complete a single specific task, and as result, their ability adapt complex environments is limited. In order solve weak diverse environments, this paper presents new bionic omnidirectional bending actuator (BOBA) inspired by leeches, caterpillars, other mollusks. BOBA has less radial expansion, fast response, flexibility, bending. Using modular methods, it can be quickly assembled...
Prokaryotic Argonaute proteins (pAgos) play an important role in host defense against invading genetic elements. The functional diversities make pAgos very promising development of novel nucleic acid manipulation tools and attract increasing attentions. Here, we reported the vitro characterization protein from archaeon Thermococcus thioreducens (TtrAgo) its example application hepatitis B virus DNA detection. results showed that TtrAgo functions as a programmable endonuclease by utilizing...
Background: Host defense peptides (HDPs) have emerged as a novel therapeutic paradigm for wound management; however, their clinical applications remain challenge owing to poor pharmacological properties and lack of suitable pharmaceutical formulations. Nanodefensin (ND), nanoengineered human α-defensin 5 (HD5), has shown improved relative the parent compound. In this study, we engineered nanodefensin-encased hydrogel (NDEFgel), investigated effects NDEFgel on healing, elucidated underlying...
Ship classification based on synthetic aperture radar (SAR) images is a crucial component in maritime surveillance. In this article, the feature selection and classifier design, as two key essential factors for traditional ship classification, are jointed together, novel model combining kernel extreme learning machine (KELM) dragonfly algorithm binary space (BDA), named BDA-KELM, proposed which conducts automatic searches optimal parameter sets (including penalty factor) at same time....
Cerebrovascular disease (CVD) is the second leading cause of dementia worldwide. The accurate detection vascular cognitive impairment (VCI) in CVD patients remains an unresolved challenge. We collected clinical non-imaging data and neuroimaging from 307 subjects with CVD. Using these data, we developed a multimodal deep learning framework that combined vision transformer extreme gradient boosting algorithms. final hybrid model within included only two features six features, demonstrating...
This paper addresses the challenge of swarm robots search for multiple targets simultaneously. Techniques are investigated gradually and a systematic scheme which is based on mechanical particle optimization artificial potential field eventually developed. The innovative extension makes bio-inspired first endowed with robots' properties reduces control expense already beyond conventional application scope this algorithm. closely considers practical applications real thus uses differences,...
Abstract Background There are few thorough studies assessing predictors of severe encephalitis, despite the poor prognosis and high mortality associated with encephalitis. The study aims to evaluate clinical outcomes at hospital discharge in patients infectious encephalitis intensive care units. Method In two Chinese hospitals, a retrospective cohort comprising 209 units suffering from was carried out. Univariate multivariate logistic regression analyses were used identify factors predicting...
Tumor-associated macrophages (TAMs) are involved in the growth of prostate cancer (PrC), while molecular mechanisms underlying interactive crosstalk between TAM and PrC cells remain largely unknown. Platelet-derived factor (PDGF) is known to promote mesenchymal stromal cell chemotaxis tumor microenvironment. Recently, activation spindle pole body component 25 (SPC25) has been shown proliferation associated with stemness. Here, relationship SPC25 PDGF was investigated. Significant increases...
Objective: Cognitive impairment has been suggested to be associated with coronary artery disease [CAD]; however, the underlying mechanism is not fully understood. Our current study aimed explore brain activity in CAD patients compared healthy controls [HCs]. Methods: Twenty-two and 23 HCs were enrolled our study. A low-frequency oscillation at voxel level all participants based on amplitude of fluctuations [ALFF] was measured using resting-state functional magnetic resonance imaging. All...
Recent neuroimaging reports have shown the microstructural changes in coronary artery disease (CAD) and its correlation with cognitive dysfunction while little is known about functional characteristics of CAD. We hypothesize that may give clues to underlying pathology CAD link dysfunction. Degree centrality (DC), a graph-based assessment network organization was performed explore neural connectivity patients compared healthy controls their measures.Thirty 36 were included our study. All...
Acute respiratory distress syndrome (ARDS) is a common lung disorder that involves severe inflammatory damage in the pulmonary barrier, but underlying mechanisms remain elusive. Here, we demonstrated macrophages originating from ARDS patients and mice caused by bacteria were characterized increased expression of ferroportin (FPN). Specifically deleting FPN myeloid cells conferred significant resistance to bacterial infection with improved survival decreasing extracellular growth preserving...
Aberrant growth and polarization of microglia are critical for pathological initiation progression neurodegenerative conditions like Alzheimer's disease (AD). However, the molecular signals that govern outgrowth have not yet been fully determined. Spindle pole body component 25 (SPC25) is an important part forming NDC80 complex, which plays a key role in assembly microtubule-binding domain kinetochores. Nevertheless, SPC25 microglial during neurodegeneration has described before, was thus...
With the development of electric power system in China, wind power, as a clean energy, can be utilised to optimise structure electrical energy. By reducing emission pollutants, it will benefit sustainable national economy and environment. In projects, scientific rational choices for turbine generator actual farm are critical since is directly related economic benefits projects. analysing status current capacity at scale globe projected play an increasingly important role future. On this...
The temporal world is characterized by dynamic and variance. A lot of machine learning algorithms are difficult to be applied practical control applications directly, while hierarchical reinforcement can used deal with them. Meanwhile, it a commonplace have some partial solutions available, called options, which learned from knowledge or predefined the system, solve sub-tasks problem. option reused for policy determination in control. Many traditional semi-Markov decision process methods...
<title>Abstract</title> Background Changes in blood coagulation factors are associated with neurological deficits extracorporeal membrane oxygenation (ECMO) survivors. These have a diverse impact on the brain and cerebral microbleeds (CMBs). However, how CMBs mediate association of ECMO survivors is not well understood. Here, we aimed to determine Methods In this single-center study, profiles during support including activated clotting time (ACT), prothrombin (PT), partial thromboplastin...
Abstract Background Automatic analysis of endoscopic images will played an important role in the future spine robotic surgery. The study is designed as a translational to develop AI models semantic segmentation for spinal instruments and anatomic structures. aim provide visual understanding basis intelligent Methods An estimate 500 cases video be included study. More data may also from internet external validation. Video clip containing typical distinct structures extracted. Typical include...