- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Nanoplatforms for cancer theranostics
- Nanoparticle-Based Drug Delivery
- Optical measurement and interference techniques
- Evolutionary Algorithms and Applications
- Photodynamic Therapy Research Studies
- Robotic Path Planning Algorithms
- Industrial Technology and Control Systems
- Image and Object Detection Techniques
- Image Processing Techniques and Applications
- Neural Networks and Applications
- Robotics and Sensor-Based Localization
- Blood properties and coagulation
- Robot Manipulation and Learning
- Porphyrin and Phthalocyanine Chemistry
- Infrastructure Maintenance and Monitoring
- Digital Media Forensic Detection
- Photoacoustic and Ultrasonic Imaging
- Hand Gesture Recognition Systems
- Fuzzy Logic and Control Systems
- Power Systems and Technologies
- RNA Interference and Gene Delivery
Beibu Gulf University
2025
Fujian Medical University
2025
Union Hospital
2025
Zhejiang Institute of Special Equipment Inspection
2025
Fuzhou University
2012-2024
Liaoning Cancer Hospital & Institute
2024
Universiti Putra Malaysia
2024
Education Department of Fujian Province
2020-2023
Changhong (China)
2022
University of Science and Technology Beijing
2018
Advanced driver assistance systems (ADAS) based on monocular vision are rapidly becoming a popular research subject. In ADAS, inter-vehicle distance estimation from an in-car camera is critical. At present, related methods for measuring the absolute of vehicles ahead experience accuracy problems in terms ranging result, which low, and deviation result between different types vehicles, large easily affected by change attitude angle. To improve robustness system, improved method estimating...
As one of the three key components photodynamic therapy (PDT), photosensitizers (PSs) greatly influence efficiency in treatment tumors. Photosensitizers with tetrapyrrole structure, such as porphyrins, chlorins and phthalocyanines, have been extensively investigated for PDT some them already received clinical approval. However, only a few porphyrin-based are available applications, has not wide recognition practice. In this regard, PSs remain limiting factor. Our research focuses on rational...
Dear Editor, This letter is concerned with wood crack detection which important to guarantee the quality of wooden products. In industry, one most challenging tasks in defects detection, since accuracy may be reduced due stains on boards, tiny cracks, and some cracks that are similar sound region. To overcome these challenges, we propose a data-driven semantic segmentation network based U-Net, called WCU-Net, for detection. Specifically, position attention mechanism firstly proposed...
In ship navigation, determining a safe and economic path from start to destination under dynamic complex environment is essential, but the traditional algorithms of current research are inefficient. Therefore, novel differential evolution deep reinforcement learning algorithm (DEDRL) proposed address problems, which composed local planning global planning. The Deep Q-Network utilized search best in target multiple-obstacles scenarios. Furthermore, course-punishing reward mechanism introduced...
With the growing global focus on sustainable development and climate change mitigation, promoting low carbonization of energy systems has become an inevitable trend. Power load monitoring is crucial to achieving efficient power management, identification key link. The traditional method problem accuracy. It assumed that technique fusing harmonic features through color coding can improve accuracy identification. In this paper, load’s instantaneous reactive power, factor current sequence...
The majority of semantic segmentation networks generally employ cross-entropy as a loss function and intersection-over-union (IoU) the evaluation metric for network performance. Employing IoU can solve mismatch issue between metric. We propose Soft training strategy based on mini-batch (mini-batch IoU). Our work has two primary contributions: first is to extend multi-class network. second collect various categories samples in every mini-batch, which will ensure that number equals batch size...
Triple negative breast cancer (TNBC) is one kind of that demonstrates highly aggressive tumor biology. The high heterogeneity TNBC makes its individual clinical treatment extremely blind and limited, which also introduces more challenges into the diagnosis diseases. Urokinase-type plasminogen activator (uPA) a level marker for cancer, mediates growth metastasis. Quercetin plant-derived flavonoid in many plants, inhibits uPA has low bioavailability mediocre pharmaceutical efficacy. Thus, we...
Lexical bundles have been widely studied in English academic writing, but not as extensive university learners’ writing. This study conducted a systematic review of the literature on lexical writing among learners from 2017 to 2022 describe directions and limitations recent studies how influence fluency coherence learners. The relied two major databases, Scopus Web Science, adhered PRISMA 2020 guidelines. analyzed 28 articles them based three content-based themes: research context, contents,...
Cancer cell expresses abundant surface receptors. These receptors are important targets for cancer treatment and imaging applications. Our goal here is to develop nanoparticles with cargo loading tumor targeting capability. Methods: A peptide at receptor (urokinase receptor, uPAR) was expressed in fusion albumin (diameter of ~7 nm), the protein assembled into diameter 40 nm, either presence or absence molecules, by a novel preparation method. An feature this method that were stabilized...
Abstract: Malignant gliomas are primary brain tumors with high rates of morbidity and mortality; they the fourth most common cause cancer death. Novel diagnostic therapeutic techniques based on nanomaterials provide promising options in treatment malignant gliomas. In order to evaluate potential FePt nanoparticles (NPs) for glioma therapy, NPs different surface coatings components were tunably synthesized using oleic acid/oleylamine (OA/OA) cysteines (Cys) as capping agents, respectively....
Paclitaxel (PTX) is a widely used anticancer drug that works by inhibiting microtubule disassembly. PTX safety was greatly enhanced embedding it with human albumin. Here, we study the synergistic effects of photodynamic therapy (PDT) both in vitro and vivo constructing photosensitizer–PTX nanotheranostics (PPNTs). PPNTs were fabricated via noncovalent hydrophobic interactions π–π stacking between an amphipathic photosensitizer average diameter ∼80 nm, these showed high stability biological...
Color classification of wooden boards is helpful to improve the appearance furniture that spliced from multiple boards. Due similarity colors among boards, manual color inaccurate and unstable. Thus, supervised learning algorithms can hardly be used in this scenario. Moreover, are long, their images have a high resolution, which may lead growth computational complexity. To overcome these challenges, paper, we propose new mechanism for based on machine vision. The image board preprocessed...
Protein disulfide isomerase (PDI) is a founding member of the thiol family, and recently found to play critical roles in thrombus formation. The development effective PDI inhibitors great significance, attracts strong interest. We previously showed that rutin bound directly inhibited activities, leading suppression platelet aggregation fibrin generation mouse model. A close analog rutin, isoquercetin, currently advanced phase clinical trials. However, molecular interaction between unknown...
A method of workpiece recognition and location by Hu moment invariants based on Open Source Computer Vision(Opencv) is presented in this paper. Firstly, the methods image preprocessing including graying, mean filter, binaryzation adaptive threshold segmentation are used. Then, we extract contours from binary image. Finally, can identify object matching extracted with contour template invariants. At same time, confirming position direction put forward. Experimental results show that proposed...
Review A Simple Phthalocyanine-Peptide Conjugate as Targeting Photosensitizer and Its Broad Applications in Health Zheng Chen 1, Jincan 2, Dafeng Liu 3, Jingyi Linlin Li Dan Naisheng Jinling Huang Zhuo Peng Xu 4, Longguang Jiang Cai Yuan 4,*, Yunbin 5,* Mingdong 1,* 1 National & Local Joint Biomedical Engineering Research Center on Photodynamic Technologies, College of Chemistry, Fuzhou University, 350108, China 2 State Key Laboratory Structural Fujian Institute the Structure Matter,...
Method of robotic hand-eye calibration based on active vision is presented in this paper. Firstly the method relations rotation matrix analyzed. The world coordinates feature points workpiece platform are obtained by laser pointer, that mounted mechanical arm. Then we can calibrate translation vector. Through calibrated relations, calculate distances between four image, and compare error with actual values. Experimental results show measurement range lengths ±0.8 mm. Therefore, precision...
Abstract Direct thrombus imaging contributes to early detection of thrombosis, and animal models with clinical relevance are vital in the development new thrombolytics. Here, a facile clot‐homing strategy is developed based on finding that blood clot negatively charged. Positively charged pentalysine moiety coupled phthalocyanine‐based fluorophore , its applications murine thromboembolic described. The probe efficiently stains cryosection intracranial thrombi retrieved from patients...
The distortion introduced by different projection (e.g. ERP, CUBE, etc) pose a great challenge to the depth estimation task of 360° images. We propose novel approach, named OlaNet, solve self-supervised problem. Our method is motivated two aspects: 1) content imagery can be better learned effective fields-of-views technology, i.e., atrous spatial pyramid pooling combined with coordinate prior; 2) L1-norm learn more robust and sparse representation than L2-norm in smooth regularization...
High-quality environmental assessments with neural networks contribute to informed decision making, in support of sustainable development. In this study, the BP network improved by genetic algorithm is applied problem quality assessment. GA used optimize initial weights make full use global optimization and local accurate searching algorithm. Matlab Software its toolbox are simulate compute. The experiment results show that GA-BP has a good performance for Furthermore, compared conventional...