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Article
Open AccessFiber-Optic Biosensors for Cancer Theranostics: From in Vitro to in Vivo
Cancer has been one of the most serious diseases, resulting in more than 10 million deaths every year. Fiber-optic sensors have great potential for diagnosing and treating cancer due to their flexibility, prec...
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Chapter and Conference Paper
Text Causal Discovery Based on Sequence Structure Information
Causality forms the basis for reasoning and decision-making in artificial intelligence systems. To take advantage of the vast amount of textual data available today, causal discovery from text has become a sig...
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Chapter and Conference Paper
Multimodal Causal Relations Enhanced CLIP for Image-to-Text Retrieval
Traditional image-to-text retrieval models learn joint representations by aligning multimodal features, typically learning the weak correlation between image and text data which can introduce noise during moda...
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Chapter and Conference Paper
A Fine-Grained Image Description Generation Method Based on Joint Objectives
The goal of fine-grained image description generation techniques is to learn detailed information from images and simulate human-like descriptions that provide coherent and comprehensive textual details about ...
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Article
Open AccessAn injectable, in situ forming and NIR-responsive hydrogel persistently reshaping tumor microenvironment for efficient melanoma therapy
Melanoma is a highly aggressive form of skin cancer with increasing incidence and mortality rates. Chemotherapy, the primary treatment for melanoma, is limited by hypoxia-induced drug resistance and suppressed...
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Article
Sb-doped FeOCl nanozyme-based biosensor for highly sensitive colorimetric detection of glutathione
Nanozymes have been emerging as substitutes for natural enzymes to construct biosensors towards biomolecular detection. However, the detection of glutathione (GSH) by nanozyme-based biosensors still remains a ...
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Chapter and Conference Paper
Video Rumor Classification Based on Multi-modal Theme and Keyframe Fusion
In recent years, short video platforms have become the main source of online rumors. According to the statistics of Shanghai online rumor refutation platform in 2021, the number of short video rumors was about...
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Article
Solving large-scale multiobjective optimization via the probabilistic prediction model
The characteristic of large-scale multiobjective optimization problems (LSMOPs) is optimizing multiple conflicting objectives while considering thousands of decision variables at the same time. An efficient op...
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Chapter and Conference Paper
Attention and Multi-granied Feature Learning for Baggage Re-identification
The current baggage re-identification methods only consider the global coarse-grained features while ignoring the fine-grained features. To deal with this issue, we proposed a simple and efficient multi-granul...
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Chapter and Conference Paper
Syntactic Dependency Constraint Based Graph Convolutional Network for Aspect Level Sentiment Classification
Aspect-Level Sentiment Classification (ALSC) aims to predict sentiment polarities of different aspects within sentences or documents. In the previous works, due to the problem of long-range gradient vanishing bet...
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Chapter and Conference Paper
Sentiment Analysis of Chinese Complex Long Sentences Based on Reinforcement Learning
Sentiment Analysis is a hot topic of Natural Language Processing (NLP). There have been relatively good solutions to general sentiment analysis problems, but in the face of the complex long sentences and the c...
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Chapter and Conference Paper
An Improved SSD-Based Gastric Cancer Detection Method
Gastric cancer is one of the malignant cancers with a very high fatal rate, and early detection plays an essential role in the treatment and improves the five-year 5-year survival rate. In this study, we an im...
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Chapter and Conference Paper
A Semi-supervised Video Object Segmentation Method Based on Adaptive Memory Module
Video object segmentation has becoming a hot research topic in the computer vision society, with a wide range of applications, such as autonomous driving, video editing, and video surveillance. However, due to...
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Article
Open AccessApplication of the amplification-free SERS-based CRISPR/Cas12a platform in the identification of SARS-CoV-2 from clinical samples
The control of contagious or refractory diseases requires early, rapid diagnostic assays that are simple, fast, and easy-to-use. Here, easy-to-implement CRISPR/Cas12a-based diagnostic platform through Raman tr...
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Article
Open AccessIdentification of LINC00665-miR-let-7b-CCNA2 competing endogenous RNA network associated with prognosis of lung adenocarcinoma
Prognosis of patients with lung cancer remains extremely poor; thus, we sought to unearth novel competing endogenous RNA (ceRNA) networks associated with the prognosis of lung adenocarcinoma (LUAD). Aberrant m...
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Article
Open AccessRole of ATF3 as a prognostic biomarker and correlation of ATF3 expression with macrophage infiltration in hepatocellular carcinoma
The abnormal expression of activating transcription factor 3 (ATF3), a member of the basic leucine zipper (bZIP) family of transcription factors, is associated with carcinogenesis. However, the expression patt...
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Chapter and Conference Paper
Law Article Prediction via a Codex Enhanced Multi-task Learning Framework
Automatic law article prediction aims to determine appropriate laws for a case by analyzing its corresponding fact description. This research constitutes a relatively new area which has emerged from recommende...
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Article
Open AccessConstruction of an 11-microRNA-based signature and a prognostic nomogram to predict the overall survival of head and neck squamous cell carcinoma patients
Head and neck squamous cell carcinoma (HNSCC) is a fatal malignancy owing to the lack of effective tools to predict overall survival (OS). MicroRNAs (miRNAs) play an important role in HNSCC occurrence, develop...
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Article
Open AccessPrognostic value of S1PR1 and its correlation with immune infiltrates in breast and lung cancers
Sphingosine-1-phosphate receptor (S1PR1) is involved in vascular development, a key process in tumorigenesis. This study aimed to evaluate its roles in tumor development and prognosis.
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Article
Development and production of nanobodies specifically against green fluorescence protein
Variable domains of heavy chains of camelid heavy-chain antibodies (VHHs) are known as nanobodies. Nanobodies are approximately 15 kDa in size with high affinity to their antigens. They can be easily manipulat...