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Chapter and Conference Paper
PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
The advancement of position acquisition technology has enabled the study based on vehicle trajectories. However, limitations in equipment and environmental factors often result in missing track records, signif...
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Article
Open AccessDeciphering the interaction between Twist1 and PPARγ during adipocyte differentiation
Obesity, a worldwide epidemic in recent years, is mainly due to the uncontrolled development of adipose tissues, which includes adipocyte hypertrophy and hyperplasia. Adipocyte differentiation is a process inv...
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Article
The association between neutrophil-to-lymphocyte ratio and disease activity in rheumatoid arthritis
The inflammatory response is responsible for the promotion of pannus development over the joint, which is the primary factor in joint injury in rheumatoid arthritis (RA). More in-depth investigations have been...
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Article
Open AccessThe effect of intravenous lidocaine on postoperative cognitive dysfunction: a systematic review and meta-analysis
Postoperative cognitive dysfunction (POCD) has been reported as a significant complication in elderly patients. Various methods have been proposed for reducing the incidence and severity of POCD. Intravenous l...
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Article
Open AccessPositive mood-related gut microbiota in a long-term closed environment: a multiomics study based on the “Lunar Palace 365” experiment
Psychological health risk is one of the most severe and complex risks in manned deep-space exploration and long-term closed environments. Recently, with the in-depth research of the microbiota–gut–brain axis, ...
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Article
Automated urban planning aware spatial hierarchies and human instructions
Traditional urban planning demands urban experts to spend much time producing an optimal urban plan under many architectural constraints. The remarkable imaginative ability of deep generative learning provides...
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Article
Deep multi-task learning with flexible and compact architecture search
Multi-task learning has been applied successfully in various applications. Recent research shows that the performance of multi-task learning methods could be improved by appropriately sharing model architectur...
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Chapter and Conference Paper
Sampling Spatial-Temporal Attention Network for Traffic Forecasting
Spatial-temporal graph learning has been a critical approach to modeling complex dependencies between variables in multivariate time series such as traffic series. However, when modeling the spatial dependenci...
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Chapter and Conference Paper
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism
Due to the complexity of the traffic system and the constantly changing characteristics of many influencing factors, long-term traffic forecasting is extremely challenging. Many existing methods based on deep ...
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Article
Open AccessMolecular characterization and phylogenetic analysis of porcine epidemic diarrhea virus strains circulating in China from 2020 to 2021
Porcine epidemic diarrhea virus (PEDV), an enteric coronavirus, has become the major causative agent of acute gastroenteritis in piglets since 2010 in China.
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Chapter and Conference Paper
Spatial Semantic Learning for Travel Time Estimation
Travel time estimation is a crucial and fundamental problem in Intelligent Transportation Systems (ITS), which benefits multiple downstream applications such as route planning, ride-sharing and taxi dispatchin...
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Article
Heterogeneous academic network embedding based multivariate random-walk model for predicting scientific impact
The prediction of current scientific impact of papers and authors has been extensively studied to help researchers find valuable papers and recent research directions, also help policymakers make recruitment d...
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Article
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility
So far COVID-19 has resulted in mass deaths and huge economic losses across the world. Various measures such as quarantine and social distancing have been taken to prevent the spread of this disease. These pre...
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Article
Open AccessThe association between BDNF levels and risperidone-induced weight gain is dependent on the BDNF Val66Met polymorphism in antipsychotic-naive first episode schizophrenia patients: a 12-week prospective study
A growing number of studies have shown that brain-derived neurotrophic factor (BDNF) is associated with weight gain during antipsychotic treatment in schizophrenia patients. However, there is still a lack of r...
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Article
A Simulation Research Towards Better Leverage of Sales Ranking
As a kind of the most significantly popular information in markets, the sales ranking has great impacts on consumer choice. However, there are few discussions on how sales ranking should be provided to consume...
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Chapter and Conference Paper
Temporal Knowledge Graph Incremental Construction Model for Recommendation
Knowledge graph (KG) has been proven to be effective to improve the performance of recommendation because of exploiting structural and semantic paths information in a static knowledge base. However, the KG is ...
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Chapter and Conference Paper
High Order Semantic Relations-Based Temporal Recommendation Model by Collaborative Knowledge Graph Learning
Knowledge graph (KG) as the source of side information has been proven to be useful to alleviate the data sparsity and cold start. Existing methods usually exploit the semantic relations between entities by le...
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Article
Mining Typical Treatment Duration Patterns for Rational Drug Use from Electronic Medical Records
Rational drug use requires that patients receive medications for an adequate period of time. The adequate duration time of medications not only improve the therapeutic effect of medicines, but also reduce the ...
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Article
Fluorometric determination of antioxidant capacity in human plasma by using upconversion nanoparticles and an inner filter effect mechanism
The balance between free oxygen radicals and antioxidant defense systems is usually assessed by an antioxidant capacity assay. A rapid and sensitive antioxidant capacity assay is described here. It is making u...
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Article
CCODM: conditional co-occurrence degree matrix document representation method
Document representation is a key problem in document analysis and processing tasks, such as document classification, clustering and information retrieval. Especially for unstructured text data, the use of a su...
