-
Article
Open AccessNeoadjuvant camrelizumab (an anti-PD-1 antibody) plus chemotherapy or apatinib (a VEGFR-2 inhibitor) for initially unresectable stage II–III non-small-cell lung cancer: a multicentre, two-arm, phase 2 exploratory study
This multicentre, two-arm, phase 2 study aimed to explore the efficacy and safety of neoadjuvant camrelizumab plus chemotherapy or apatinib in patients with initially unresectable stage II–III non-small-cell l...
-
Article
Long non-coding RNA DANCR increases spinal cord neuron apoptosis and inflammation of spinal cord injury by mediating the microRNA-146a-5p/MAPK6 axis
This research was to unravel the impact of the lncRNA differentiation antagonizing non-protein coding RNA (DANCR)/microRNA (miR)-146a-5p/mitogen-activated protein kinase 6 (MAPK6) axis on spinal cord injury (S...
-
Article
Learning a Bayesian network with multiple latent variables for implicit relation representation
Artificial intelligence applications could be more powerful and comprehensive by incorporating the ability of inference, which could be achieved by probabilistic inference over implicit relations. It is signif...
-
Article
Open AccessPerioperative immunotherapy for resectable non-small-cell lung cancer
Lung cancer, of which non-small-cell lung cancer (NSCLC) is the most common type, is the leading cause of cancer-related deaths. Anatomic pulmonary resection followed by adjuvant chemotherapy is considered the...
-
Chapter and Conference Paper
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks
To find k neighbor users on social networks, the efficient approximate nearest neighbor search (ANNS) is useful. Existing graph index methods have shown attractive performance, but suffer from inaccuracy w.r.t. u...
-
Article
Open AccessFew-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention
Knowledge graph (KG) has become the vital resource for various applications like question answering and recommendation system. However, several relations in KG only have few observed triples, which makes it ne...
-
Article
Open AccessFusobacterium nucleatum-triggered neutrophil extracellular traps facilitate colorectal carcinoma progression
Fusobacterium nucleatum (Fn) acts as a procarcinogenic bacterium in colorectal carcinoma (CRC) by regulating the inflammatory tumor microenvironment (TME). Neutrophil extracellular traps (NETs), which can be gene...
-
Article
Open AccessNeoadjuvant Afatinib for stage III EGFR-mutant non-small cell lung cancer: a phase II study
Afatinib, an irreversible ErbB-family blocker, could improve the survival of advanced epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer patients (NSCLCm+). This phase II trial (NCT04201756...
-
Article
Open AccessSafety and effectiveness of neoadjuvant PD-1 inhibitor (toripalimab) plus chemotherapy in stage II–III NSCLC (LungMate 002): an open-label, single-arm, phase 2 trial
This trial aimed to analyse the safety, effectiveness and transcriptomic characteristics of neoadjuvant toripalimab plus chemotherapy in II–III non-small-cell lung cancer (NSCLC).
-
Article
Reduced Circulating Soluble Receptor for Advanced Glycation End-products in Chronic Hepatitis B Are Associated with Hepatic Necroinflammation
The diagnosis and disease management of chronic hepatitis B (CHB) remain challenging due to the elusive assessment of disease severity. Recently, soluble receptor for advanced glycation end-products (sRAGE) ha...
-
Article
Advances in BiOX-based ternary photocatalysts for water technology and energy storage applications: Research trends, challenges, solutions, and ways forward
BiOX (bismuth oxyhalides) are a ternary structure (V–VI–VII) of semiconductor materials with tunable band gaps, a low recombination rate, wide light absorption range, electro-magnetical and optical properties due...
-
Chapter and Conference Paper
Similarity Search with Graph Index on Directed Social Network Embedding
Similarity search on directed social networks (DSNs) could help users find the K nearest neighbors (KNNs). The graph index based similarity search does not have to compare query node against every node in DSNs, s...
-
Chapter and Conference Paper
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features
As the vital resource for various applications like question answering and recommendation system, knowledge graph (KG) often suffers from incompleteness. The task of relation prediction in KG aims to infer the...
-
Article
Transfer learning of Bayesian network for measuring QoS of virtual machines
The Quality of Service (QoS) of virtual machines (VMs) are ensured through the Service Level Agreements (SLAs) signed between the consumers and the cloud providers. A main way to avoid the SLAs violation is to...
-
Article
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes
Quality of Service (QoS) of virtual machines (VMs) is guaranteed by the Service Level Agreements (SLAs) signed between users and service providers during the renting of VMs. A typical idea to ensure the SLAs b...
-
Article
Open AccessSublobectomy is a safe alternative for localized cavitary pulmonary tuberculosis
Surgical resection plays an essential role in the treatment of Pulmonary Tuberculosis (PTB). There are few reports comparing lobectomy and sublobectomy for pulmonary TB with cavity. To compare the advantages b...
-
Article
Improving spectral clustering with deep embedding, cluster estimation and metric learning
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means....
-
Chapter and Conference Paper
A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph
Querying associative entities is to provide top ranked entities in knowledge graph (KG). Many entities are not linked explicitly in KG but actually associated when incorporating outside user-generated data, wh...
-
Chapter and Conference Paper
Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns
Ranking associative entities in Knowledge Graph (KG) is critical for entity-oriented tasks like entity recommendation and associative inference. Existing methods benefit from explicit linkages in KG w.r.t. exa...
-
Article
Open AccessAssessment of EN-RAGE, sRAGE and EN-RAGE/sRAGE as potential biomarkers in patients with autoimmune hepatitis
Autoimmune hepatitis (AIH) is a liver disease characterized by the autoimmune-induced injury of hepatocytes which can lead to cirrhosis and hepatic failure. The diagnosis and disease management of AIH patients...
