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- MiR-21-3p Promotes Hepatocellular Carcinoma Progression via SMAD7/YAP1 Regulation53
The effect of MiR-21-3p on tumor phenotypes and YAP1 upregulation could be partly reversed via the restoration of SMAD7 expression in HCC cell lines, underscoring a major epigenetic mechanism in the pathogenesis of HCC.
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- NTIRE 2025 Challenge on Raw Image Restoration and Super-Resolution28
The NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge is reviewed, highlighting the proposed solutions and results, and presents the current state-of-the-art in RAW Restoration.
- Extension of fractional parentage expansion to the nonrelativistic and relativistic SUf (3) dibaryon calculations26
A program package is written for dibaryon calculation based on the fractional parentage expansion method and a transformation table between physical bases and symmetry bases for the SU[sup [ital f]](3) dibARYon is provided.
- Transformational Leadership and Perceived Overqualification: A Career Development Perspective25
It is revealed that transformational leadership had an indirect effect on perceived overqualification through career growth opportunities, and supervisor–subordinate guanxi moderated the positive association between transformationalleadership and careerrowth opportunities.
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- An Efficient and Robust Target Detection Algorithm for Identifying Minor Defects of Printed Circuit Board Based on PHFE and FL-RFCN18
A minor defect detection method on PCB based on FL-RFCN (focal loss and Region-based Fully Convolutional Network) and PHFE (parallel high-definition feature extraction) and the focal loss is used to solve the problem of data imbalance in neural networks.
- Uncovering the Text Embedding in Text-to-Image Diffusion Models17
It is found that text embedding inherently possesses diverse semantic potentials, and is revealed that text embedding inherently possesses diverse semantic potentials through the lens of singular value decomposition (SVD), which offer practical utility for image editing and semantic discovery.
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- Comprehensive Evolutionary Analysis of CPP Genes in Brassica napus L. and Its Two Diploid Progenitors Revealing the Potential Molecular Basis of Allopolyploid Adaptive Advantage Under Salt Stress15
This study comprehensively analyzed the characteristics and salt stress response of the CPP genes in B. napus and its diploid progenitors and found that some BnCPPs might undergo new functionalization or subfunctionalization, and some BNCPPs also show biased expression, which might contribute to the adaptation of B. Napus under saline environment.
- A Novel Multiface Recognition Method With Short Training Time and Lightweight Based on ABASNet and H-Softmax15
The ABAS algorithm is used to optimize the initial threshold of the neural network and the ABASNet method, which is combined with the face features extracted by the face feature vector extraction model to be used for multi-face classification tasks and H-softmax (hierarchical softmax) is used for replacing softmax in neural networks.
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- Joint-learning segmentation in Internet of drones (IoD)-based monitor systems13
A joint-learning segmentation scheme was designed that combines the conditional random field (CRF) model with an improved U-net model and enables the front and back parts to interact with each other to obtain the location of the target and its classification information accurately.
- Development of a liquid chromatography-tandem mass spectrometric (LC-MS/MS) method for simultaneous determination of epigallocatechin-3-gallate, silibinin, and curcumin in plasma and different tissues after oral dosing of Protandim in rats and its application in pharmacokinetic and tissue distribution studies13
The data showed that EGCG, SIL, and CUR did not accumulate in rats after multiple doses of Protandim, and the three main components were distributed mainly in the small intestine.
- Bidirectional Attention for SQL Generation13
This paper breaks down the structure of SQL queries to three sub-modules and design specific deep neural networks for each of them and employs the bidirectional attention mechanisms and character-level embedding with convolutional neural networks (CNNs) to improve the result.
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- Sensitive determination of glucose in Dulbecco's modified Eagle medium by high‐performance liquid chromatography with 1‐phenyl‐3‐methyl‐5‐pyrazolone derivatization: application to gluconeogenesis studies12
This HPLC method has been shown to determine small amounts of glucose in DMEM successfully, with lower limit of quantitation and better sensitivity when compared with common commercial glucose assay kits.
- Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation11
ChatGPT demonstrated performance comparable to human experts, exhibiting professionalism, diversity, empathy, and a high degree of human likeness, making it highly effective in counseling services, and a reliable framework for distinguishing between artificial intelligence-generated and human-generated content.
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- Social Support and Connective Affordances: Examining Responses to Early Covid-19 Patient Support Seeking on Microblogs10
Examination of microblog users’ responses to the support seeking of early Covid-19 patients suffering the first outbreak in China showed that content characteristics influenced endorsing, sharing, and commenting by users.
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- High-Fidelity EEG Generation: Generative Adversarial Network Highlighting Time-Frequency-Spatial Features Regulated by Global Dynamics Supervision8
A new Generative Adversarial Network framework, HiFi-EEG-GAN, consisting of a supervisor, generator, and discriminator, aiming at generating artificial EEG that closely mimics real-world counterparts with “high fidelity” (Hi-Fi).
- Comprehensive analysis of the relationship between ubiquitin-specific protease 21 (USP21) and prognosis, tumor microenvironment infiltration, and therapy response in colorectal cancer8
The role of USP21 in TME, response to therapy, and clinical prognosis in CRC is revealed, which provided novel insights for the therapeutic application in CRC.
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- Effective Vision Transformer Training: A Data-Centric Perspective8
This paper proposes a novel data-centric ViT training framework to dynamically measure the ``difficulty'' of training samples and generate ``effective'' samples for models at different training stages, and proposes a patch-level erasing strategy dubbed PatchErasing.
- Characterization of the impurities and isomers in cefetamet pivoxil hydrochloride by liquid chromatography/time-of-flight mass spectrometry and ion trap mass spectrometry8
Among the ten impurities and isomers in cefetamet pivoxil hydrochloride drug substance made in China, impurity VII was isolated by preparative HPLC, and its structure was confirmed by (1)H NMR data.
- Universal response method for accurate quantitative analysis of the impurities in quinolone antibiotics using liquid chromatography coupled with diode array detector and charged aerosol detector7
The developed HPLC-DAD-CAD method provided a uniform response to the impurity with differences chromophores and could unbiasedly and directly detect the impurities in quinolone antibiotics.
- Docking-based Virtual Screening with Multi-Task Learning7
The results demonstrate that multi-task learning is a promising machine learning approach for docking-based virtual screening and accelerating the process of drug discovery.
- Speaking like Humans, Spreading like Machines: A Study on Opinion Manipulation by Artificial-Intelligence-Generated Content Driving the Internet Water Army on Social Media6
A large-scale opinion propagation network is constructed to examine the structural roles of traditional social bots and AESB across three analytical levels: the node, community, and overall network, and the results reveal substantial differences between AESB and traditional social bots.
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- A Cross-Sectional Descriptive Study on the Attitudes Towards Patient Safety and Influencing Factors of Nurses in Infectious Diseases Wards6
Nurses’ attitudes towards patient safety in infectious diseases wards were moderately high, and managers should focus on these groups of nurses and improve their working conditions and job satisfaction to further enhance patient safety.
- No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction6
This paper proposed a model named MSIQA inspired by biological vision and a convolution neural network (CNN), which does not require reference images in the training and testing phases, and has achieved excellent performance.
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- Patterns, influencing factors and mediating effects of smartphone use and problematic smartphone use among migrant workers in Shanghai, China5
The health influences of SU and PSU on migrant workers in Shanghai merit significant attention and it is necessary to develop and target intervention strategies according to the workers' various characteristics and SU patterns.
- Pneumatic nebulization gas–solid extraction of some pesticides in liquor5
The pneumatic nebulization coupled with gas-solid extraction (PN-GSE) was applied to the extraction of several pesticides, including fenuron, chlortoluron, karmex, linuron and prebane, from liquor samples because the high concentration of ethanol in the liquor samples cannot elute the analytes from the SPE column.
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- Quantitative analysis of impurities in leucomycin bulk drugs and tablets: A high performance liquid chromatography-charged aerosol detection method and its conversion to ultraviolet detection method4
High-performance liquid chromatography method coupled with charged aerosol detection (CAD) for the quantification of related substance of leucomycin bulk drugs and tablets shows good precision, reproducibility and linearity and is considered for implementation into pharmacopeial monographs in the future.
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- Recognizing Large‐Scale AIGC on Search Engine Websites Based on Knowledge Integration and Feature Pyramid Network3
An EPCNN model is proposed to identify AIGC on search engine websites, which maintains good performance in large‐scale samples and has high accuracy and the ability to handle large‐scale data compared with machine learning algorithms and AI detection tools.
- ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation3
This work reveals that dynamic prompting conditioned on image content can more efficiently utilize the text encoder for complex dense tasks and proposes an align-guided contrastive loss to refine the alignment of vision and text embeddings.
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- Safety helmet wearing detection based on EfficientDet algorithm3
The experimental results show that under different experimental conditions, the improved efficientset model has better detection accuracy and speed, and can better meet the safety helmet wearing detection.
- A Fast and Efficient Data Augmentation for Sematic Segmentation Based on LQE Head and BAS-DP3
Experimental results show that the proposed data augmentation algorithm is better than DCGAN (Deep Convolutional Generative Adversarial Networks), WGAN (Wasserstein Generative Adversarial Networks) and other data augmentation algorithms in accuracy.
- Enhancing reconstruction precision of zonal methods under low sampling density in non-uniform meshes3
This paper proposes a new algorithm based on zonal methods that are applicable to non-uniform meshes that has stronger applicability and higher reconstruction precision under low sampling density.
- [Remote sensing inversion mode of suspended particles concentration in Hangzhou Bay based on in situ measurement spectrum].3
Two remote sensing inversion models for suspended particles concentrations (SPC) were developed based on t hesimulated reflectance of MODIS & MERIS channels using artificial neural network (ANN) algorithm, which can simulate the pigment and non-pigment particles concentrations at same time.
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- RETRACTED: Utilizing health-related text on social media for depression research: themes and methods2
This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods, and recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly.
- RETRACTED ARTICLE: Application of edge computing and APP software services in graphic product art design2
This article analyzes the product graphic design process, and designers choose appropriate design software to improve work efficiency when performing product graphic design, and uses mobile edge technology to learn the application of APP software and the art design of graphic products.
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- Invasion in Advanced Gastric Cancer Based on Enhanced Computer Tomography Radiomics Nomogram1
The enhanced CT radiomics nomogram offers robust preoperative prediction for LVI/PNI in patients with GC, and shows superior prediction compared with other models.
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- FaRS: A High-Performance Automorphism-Aware Algorithm for Graph Similarity Matching1
This work proposes a novel single-source role similarity search algorithm, named FaRS, which employs the top Γ maximum similarity matching technique to capture more information from the classes of neighboring nodes, ensuring both automorphic equivalence and structural equivalence of role similarity.
- DTSSN: A Distributed Trustworthy Sensor Service Network Architecture for Smart City1
Comparative analysis and simulation experiments validate the effectiveness of the DTSSN architecture in terms of scalability, availability, and trustworthiness, underscoring its potential in advancing smart city development and governance.
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- [Correlation between CFTR 5T polymorphisms and the risk of congenital bilateral absence of the vas deferens].1
The haplotype of TG12_13-5T increases the risk of CBAVD in men, which has provided a theoretical basis for male reproduction.
- Construction and Management of Computer Laboratory Based on Desktop Cloud1
This paper analyzes the defects of traditional computer laboratory management, and combines with computer laboratory teaching environment construction and application practice the technology of desktop cloud, which integrates computing power and data storage by cloud computing and virtualization.
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- Identification of AIGC and human-generated implicitly toxic content on social media–
This work proposes an end-to-end deep learning method that integrates semantic features and long-distance textual dependency features, thereby enhancing recognition accuracy and outperforms BERT and XGBoost in identifying human-generated implicitly toxic content.
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- Research on Collaborative Governance of AIGC Applications in the DeepSeek Era–
The government, industry, platform, and users should participate together to strengthen industry supervision, improve the self‐discipline review mechanism, and enhance AI literacy education, so as to jointly promote the long‐term stability and healthy development of the artificial intelligence industry.
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- Application of sensor-based image optical processing in the vision system of tea ware glaze design–
The results show that the system can provide accurate image data and feature analysis results, which can improve the quality and efficiency of tea ware glaze design, reduce the influence of subjective factors, and provide more accurate and objective design reference for designers.
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- Intensifying graph diffusion-based salient object detection with sparse graph weighting–
This paper aims to depict the local and global structures from image features, intensifying the graph-based diffusion model by simultaneously integrating the sparse graph matrix and affinity graph matrix by integrating sparse representation and laplacian smoothness.
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- Implementation of Online Dictionary Based on the Simplified Algorithm–
A simple classic online dictionary was designed, based on the simplest algorithm, which can meet the user’s requirements for multiple functions such as words, speech, sentences and translation.
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- Design and implementation of a smart antenna system for UHF vehicle-mounted communication–
The project adopts the improved multiple signal classification (MUSIC) algorithm, and implements robust superdirective beamforming algorithm based on digital signal processor (DSP), which contributes to achieving super-resolution target direction-finding and gaining output beam signals.
- Simultaneous determination of six constituents in Jiawei Chuanxinlian Powder by HPLC–
The established HPLC method is simple, accurate, reproducible, and can be used for the quality assessment of Jiawei Chuanxinlian Powder prosessed into granules.
- Analysis of 2000-year-old ancient food residue using mass spectrometry-based proteomics method–
This study suggests that the mass spectrometry based proteomics method could be applied to the ancient samples buried under temperate climate or to the older ancient samples.
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- High Performance Liquid Chromatography Method for Determination of Ginsenosides R_(g1) and Rb_1 in Qibai Pingfei Capsules–
This HPLC method is simple, with high sensitivity and good re-peatability, and can be used for the determination of ginsenosides Rg1 and Rb1 in Qibai Pingfei Capsules.
- Late-course high-dose radiotherapy combined with concurrent chemotherapy for locally advanced non-small cell lung cancer–
It showed that patients accompany increment of V20, the happening rate of radiation-induced pneumonitis probability was increased and the rational time-dose-fraction model still need further observation.
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- Determination of puerarin in Waiganfenghan Granules by HPLC–
The RP-HPLC method was simple, sensitive, accurate and can be used for the determination of puerarin in Waiganfenghan Granules.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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