A5101564864- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Geoscience and Mining Technology
- Medical Image Segmentation Techniques
- Evaluation and Optimization Models
- Electrocatalysts for Energy Conversion
- Complex Network Analysis Techniques
- Neural dynamics and brain function
- Industrial Technology and Control Systems
- Evolutionary Game Theory and Cooperation
- Stochastic Gradient Optimization Techniques
- Natural Language Processing Techniques
- Mechanisms of cancer metastasis
- Urban and spatial planning
- Molecular Communication and Nanonetworks
- Advanced Computational Techniques and Applications
- Financial Crisis of the 21st Century
- Digital Humanities and Scholarship
- Scheduling and Timetabling Solutions
- Ideological and Political Education
- stochastic dynamics and bifurcation
- Advanced Technology in Applications
- Adult and Continuing Education Topics
- Neuroscience and Neuropharmacology Research
- Photochromic and Fluorescence Chemistry
Peking University
2025
Sinopec (China)
2024
China Medical University
2023
Sheng Jing Hospital
2023
Liaoning Cancer Hospital & Institute
2023
Jilin Agricultural University
2017-2023
Universidad del Noreste
2023
Hebei University
2020-2023
Anhui University
2021
University of Science and Technology Beijing
2019
Dozens of extracellular molecules jointly impact a given neuron, yet we lack methods to simultaneously record many such signals in real time. We developed probe track ten or more neuropeptides and neuromodulators using spatial multiplexing genetically encoded fluorescent sensors. Cultured cells expressing one sensor at time are immobilized the front gradient refractive index (GRIN) lens for 3D two-photon imaging vitro vivo . The identity detection sensitivity each cell determined via robotic...
Metaheuristic optimization algorithms play a crucial role in problems. However, the traditional identification methods have following problems: (1) difficulties nonlinear data processing; (2) high error rates caused by local stagnation; and (3) low classification resulting from premature convergence. This paper proposed variant based on gray wolf algorithm (GWO) with chaotic disturbance, candidate migration, attacking mechanisms, naming it enhanced optimizer (EGWO), to solve problem of...
Abstract It was found that 2‐amino‐1,2‐diphenylethanol forms organogels with a wide variety of acidic compounds in large number organic liquids, which short contacts such as CH–π hydrogen bonds play key role gel formation. This new kind acid–base, two‐component organogelator has potential application fluorescence switch and the preparation nanotubes, silver nanofibers, ultrathin nanoparticles less than 3 nm, could be used catalysts for reduction nitroaniline.
We proposed two approaches to compute Mann-Whitney parameter based initial dissimilarities for the Ensemble Algorithm Clustering Cancer Data (EACCD). These are nonparametric and produce robust prognostic systems. The breast cancer data from Surveillance, Epidemiology, End Results (SEER) Program of National Institute were used demonstrate these approaches. showed that our methods generated systems with a comparable performance AJCC's staging system.
Adaptive gradient methods, e.g., ADAM, have achieved tremendous success in data-driven machine learning, especially deep learning. Employing adaptive learning rates according to the gradients, such methods are able attain rapid training of modern neural networks. Nevertheless, they observed suffer from compromised generalization capacity compared with stochastic descent (SGD) and tend be trapped local minima at an early stage during process. Intriguingly, we discover that issue can resolved...
Motivation: In recent years,many neural network models based on prostate lesion segmentation in magnetic resonance images have different stability and diagnostic efficiency. Goal(s): we want to get an automatic model with high performance for the its region. Approach: Our Network DCNN is inspired by U-Net encoding-decoding path as backbone,importing dense block,attention mechanism techniques,and group norm-Atrous Spatial Pyramidal Pooling,these could be broadly used improve capability of...
Transitivity is a very important linguistic term in Systemic-Functional Grammar. Many scholars gradually start applying transitivity system into discourse analysis, especially literature works, news and speeches. Taking the as theoretical framework, this paper describes distribution of on-line book product descriptions by employing combination qualitative quantitative research methods. It has been found that occurrence rate distribution, material processes relational are most frequently used...
The base station location optimization is one of the most important issues in cellular networks. A novel genetic algorithm combined with virtual force decoration to improve coverage performance networks proposed. modifies individuals and provides a better direction guide for gene mutation. Experiences prove proposed not only obtains higher rate but also converges faster than standard algorithms.
Abstract Previous efforts on data-based reconstruction focused complex networks with pairwise or two-body interactions. There is a growing interest in high-order many-body interactions, raising the need to reconstruct such based observational data. We develop general framework combining statistical inference and expectation maximization fully 2-simplicial complexes two- three-body interactions binary time-series data from social contagion dynamics. further articulate two-step scheme improve...
In this paper, the author use solar energy with capillary network systems as added heating measure of kang . The influence system on surface temperature Kang and indoor was researched by experiment. tested data shows that average head、medium tail traditional in a normal room are 65.7°C、43.28°C 39.82°C. difference is higher than 20°C. temperatures head、middle using 51.34°C、38.26°C 33.79°C. Comparing two groups data, we can get conclusion distribution new more balance Kang, which improves...
Accurate segmentation of lumbar spine is crucial for the assessment disease diagnosis. The accuracy and robustness challenged by morphological complexity anatomy structure, low contrast background noise. Moreover, unbalanced anatomical structure impede small-size anatomy. To overcome these problems, an automatic method lumber MRI needed. In this paper, we propose to segment using a convolutional neural network (CNN) model. Based on canonical u-shaped model, multi-scale feature fusion module...
Based on DEA ,an empirical analysis was made efficiency of safety input construction enterprises in 2011.Furthermore,Tobit model employed to analyze the correlation between and input, according results determine factors that affect efficiency. The result indicates accompanying increase efficiency, technical scale enterprise would be improved along with input. Meanwhile, measures normative management system improve quality personnel training mode recommended decrease loss.
The control technology for mining subsidence is the main research area of subsidence. Its objective to study and select methods appropriate reducing surface overlying strata protecting structures. Referring analysis references, discussed from several aspects including backfill method, partial collapsed cavities in strata, harmonized method 3-step stripping mining-goaf grouting, backfill-strip pillar mining. developing trend also prospected.
For the problem of spectrum correction in phase difference method, a weighed method starting from secondary largest value is presented this paper. By analysis on error maximum and second It determines conducts weighted joint calibration. In addition, it makes variance for result. Finally, experimental result shows that can greatly improve spectral resolution than conventional method.