A5100439387- Microbial Community Ecology and Physiology
- Soil Carbon and Nitrogen Dynamics
- Gut microbiota and health
- Video Surveillance and Tracking Methods
- Mycorrhizal Fungi and Plant Interactions
- Forest Ecology and Biodiversity Studies
- Imbalanced Data Classification Techniques
- Lichen and fungal ecology
- Discourse Analysis and Cultural Communication
- Cultural, Linguistic, Economic Studies
- Polar Research and Ecology
- Image Enhancement Techniques
- Human Pose and Action Recognition
- Diverse Topics in Contemporary Research
- Brain Tumor Detection and Classification
- Artificial Intelligence in Healthcare
- Advanced Vision and Imaging
- Advanced Optical Sensing Technologies
- Plant biochemistry and biosynthesis
- Water Quality and Pollution Assessment
- Mobile Crowdsensing and Crowdsourcing
- Face Recognition and Perception
- Rice Cultivation and Yield Improvement
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Metaheuristic Optimization Algorithms Research
Qilu Hospital of Shandong University
2025
Arizona State University
2024
Inner Mongolia University
2020-2023
China People's Public Security University
2022-2023
Kunming University of Science and Technology
2023
Nanjing University of Information Science and Technology
2019-2021
Xidian University
2021
Shandong University
2018
Xuzhou Medical College
2017
Second Affiliated Hospital of Xuzhou Medical College
2017
Soil microbial communities were investigated under the volcanic extreme environment. bacterial networks exhibited higher stability than fungal networks. Holocene granite had a more complex network basalt. pH and total protein key drivers of stability. Volcanic activity is great significance not only because it powerful strength shaping global landscape but also common cause geological ecological disturbances [1, 2]. The Wulanhada volcanoes in Inner Mongolia Northern China erupted during...
Correlation filters combined with deep features have delivered impressive results in visual tracking task. However, existing approaches treat produced by different network layers independently, limiting their representation power. To address this issue, article proposes a multi-task dual correlation (MDDCF) based method for robust tracking. First, new learning scheme is designed to take full advantage of the multi-level networks, where target individual regarded as single As such,...
Arbuscular mycorrhizal fungi (AMF) have been reported to a wide distribution in terrestrial ecosystems and play vital role ecosystem functioning symbiosis with Stipa grasses. However, exactly how AMF communities the rhizosphere change are distributed along different population substituted their relationships remain unclear. Here, changes of associations between hosts dynamic differences glomalin-related soil protein (GRSP) seven species spatial substitution characteristics arid semiarid...
Recently, due to the high performance, spatially regularized strategy has been widely applied addressing issue of boundary effects existed in correlation filter (CF)-based visual tracking. Specifically, it introduces a term penalize coefficients CFs be learned depending on their spatial locations. However, regularization weights are often formed as fixed Gaussian function, and hence may cause model degenerate inflexible constraints ever-changing over time during To address this issue, paper,...
Recently, multi-task correlation filters has drawn much attention in the object tracking field, which utilizes learning (MTL) approach to explore interdependencies among deep features for tracking. However, existing based method fails consider relations between filters. To address this problem, a novel visual is proposed paper, with integration of convolution operators and detection. In our method, correction are jointly learnt through using MTL technique, purpose exploring not only but also...
Rice cultivation is facing a situation where rice production stagnates while nitrogen fertilizer (NF) application continues to increase. The effectiveness of the NF residues from season on growth rotating broad beans unclear. High use in also affects supply through soil organic (SON) mineralization (SONM). However, rules SONM and availability rice–broad bean rotation system (RBRS) are unknown. A field trial RBRS was conducted using 15N-labeled urea (CO(15NH2)2) as partial source (15N...
Alkenal double bond reductases (DBRs), capable of catalyzing the NADPH-dependent reduction α,β-unsaturated bond, play key roles in detoxication alkenal carbonyls. Here, isolation and characterization two DBRs encoded by liverwort species Marchantia paleacea are described. The share a relatively low similarity, phylogenetic analysis indicated that MpMDBRL is more closely related to microbial than other plant DBRs, while MpDBR shares common ancestry with typical DBRs. Both DBR proteins...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Consumption plays a crucial role in peoples daily lives. In recent years, Chinas consumer market has faced urgent needs for consumption transformation and heavy pressure from economic downturn. As an important component of everyday wealth savings, there is close relationship between changes house prices the market. There been heated debate academic community regarding positive or negative two. The study keeps focus on market, attempting to reveal effects price has. This article extracts...
Colloids of natural river water is a key intermediate carrier lead (Pb). It important to monitor the transport–transformation behavior Pb in colloidal phase seaward because this related levels pollution input and environmental risks posed sea, especially coastal delta areas. In study, fractionation distribution toxic from truly dissolved different phases seven rivers Yellow River Delta were investigated. The concentrations total Pb, 0.99–40.09 μg L –1 , 0.40–8.10 0.60–35.88 respectively....
Can eyes tell the truth? analysis of human eye-movement data reveal psychological activities and uncover hidden information? Lying is a prevalent phenomenon in society, but research has shown that people’s accuracy identifying deceptive behavior not significantly higher than chance-level probability. In this paper, simulated crime experiments were carried out to extract features 83 participants while viewing crime-related pictures using an eye tracker, importance through interpretable...
MOP (Multiobjective Optimization Problem) is a prevailing research field for its well-modeling on the decision-making dilemma in real world. We present distributed ACO (Ant Colony Optimization) algorithm based crowdsourcing model, with few innovative strategies as enhancement, continuous MOPs. The original expected to be decomposed into multiple single-objective subtasks, which are then individuals network, and non-dominated front constructed by aggregating solutions from crowd. Finally, an...
In recent years, with the continuous expansion of business scope auto insurance, crime insurance fraud is becoming frequent. The establishment detection model has become an important measure to ensure stable development industry. This paper builds based on Logistic-SVM, which could solve problem that original needs lots variables. Firstly, importance characteristic variables sorted by SVM model, and ten are selected according objective reality. By comparing traditional single logistic...
In recent years, with the development of Internet big data technology and e-commerce platform, many active offline transaction methods have gradually shifted to online. Online auctions come a long way due COVID-19, but bidding fraud has seriously disrupted health industry. this paper, AdaBoost model is used build prediction model, performance verified by experiments, it found that high accuracy for identifying fraud. At present, there are few models fraud, broad prospects.
Probabilistic problems in AI planning are called probabilistic planning. Recently, a new language is proposed to model these problems. It the Relational Dynamic Influence Diagram Language (RDDL). There only few domains, which described RDDL until now. Those domains supposed have semantic models as dynamic Bayes networks. However, propositional. Therefore, this paper, we first order for one of domains. First probability trees used purpose. On other hand, paper focus on most complicated...