A5101468201- Cancer-related molecular mechanisms research
- Acute Lymphoblastic Leukemia research
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Energy, Environment, Economic Growth
- Energy, Environment, and Transportation Policies
- RNA modifications and cancer
- Hematological disorders and diagnostics
- Cervical Cancer and HPV Research
- Bone and Joint Diseases
- Molecular Biology Techniques and Applications
- Mesenchymal stem cell research
- Advanced MRI Techniques and Applications
- Lymphoma Diagnosis and Treatment
- Neural Networks and Applications
- Computational Drug Discovery Methods
- EEG and Brain-Computer Interfaces
- Video Surveillance and Tracking Methods
- Endometrial and Cervical Cancer Treatments
- Gene expression and cancer classification
- Acute Myeloid Leukemia Research
- Redox biology and oxidative stress
- Rough Sets and Fuzzy Logic
- Market Dynamics and Volatility
- Epigenetics and DNA Methylation
Dali University
2025
Shanghai Jiao Tong University
2024-2025
Beihang University
2021-2025
Feed Research Institute
2025
Chinese Academy of Agricultural Sciences
2025
Lanzhou Veterinary Research Institute
2025
Lanzhou University
2025
Gansu Agricultural University
2025
Maastricht University
2020-2025
Institute of Hematology & Blood Diseases Hospital
2024
Deep convolutional neural networks (CNNs) have been successfully applied to a wide variety of problems in computer vision, including salient object detection. To detect and segment objects accurately, it is necessary extract combine high-level semantic features with low-levelfine details simultaneously. This happens be challenge for CNNs as repeated subsampling operations such pooling convolution lead significant decrease the initial image resolution, which results loss spatial finer...
Salient object detection has received great amount of attention in recent years. In this letter, we propose a novel salient algorithm, which combines the global contextual information along with low-level edge features. First, train an stream based on state-of-the-art holistically-nested (HED) model and extract hierarchical boundary from each VGG block. Then, contours are served as complementary edge-aware integrated saliency to depict continuous for objects. Finally, combine pyramid pooling...
One of the greatest challenges facing humanity in current millennium is need to mitigate climate change, and one most viable options overcome this challenge invest renewable energy. The study dynamically examines impact non-renewable energy consumption economic growth on using Augmented Mean Group (AMG) technique emerging Asian countries during period 1975–2020. estimated results show that sources significantly mitigates while contributes change. Furthermore, growth, investment transport...
In robotic arm operations, after planning the desired motion trajectory, accurate and stable trajectory tracking control is essential. However, in actual control, there are issues such as uncertainty of dynamic parameters susceptibility to external disturbances during motion. Addressing these issues, this paper employs RBF neural networks estimate utilizes an adaptive controller achieve online tracking. The approximation capability adaptability method enhance real-time performance...
ABSTRACT Porcine deltacoronavirus (PDCoV) is a significant emerging pathogen that causes severe enteric disease in swine, and therefore economic losses the pig farming industry. Here, we developed novel double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) based on two monoclonal antibodies directed against PDCoV spike protein. These were obtained through hybridoma fusion screening, they can specifically react with The detection limits of DAS-ELISA for recombinant protein...
Electrocardiographic imaging (ECGI) aims to noninvasively estimate heart surface potentials starting from body potentials. This is classically based on geometric information the torso and imaging, which complicates clinical application. In this study, we aim develop a deep learning framework solely potentials, enabling wider use. The introduces two main components: transformation of 3D geometries into standard 2D representations, development customized network model. representations maintain...
This study constructs an evaluation index system for new-quality productivity and employs the entropy method to measure levels of in 30 Chinese provinces from 2012 2022. Additionally, it analyzes provincial distribution characteristics using Dagum Gini coefficient decomposition method. The results show that eastern region is significantly higher than central western regions. Regional differences are primarily due inter-regional disparities, but overall trend towards convergence....
BACKGROUND:Breast cancer is one of the most malignant tumors worldwide. The natural flavonoid diosmetin has been reported to exhibit various pharmacological activities, including anti-cancer effects. This study aimed investigate anti-breast effects on MDA-MB-231 cells and explore underlying molecular mechanisms cell apoptosis. MATERIAL AND METHODS:The were incubated with for 24 h. Then, viability lactate dehydrogenase (LDH) leakage detected using CCK-8 LDH assay kits, respectively. Inverted...
The electrocardiogram (ECG) is the standard method in clinical practice to non-invasively analyze electrical activity of heart, from electrodes placed on body’s surface. ECG can provide a cardiologist with relevant information assess condition heart and possible presence cardiac pathology. Nonetheless, global view heart’s given by cannot fully detailed localized about abnormal propagation patterns corresponding substrates surface heart. Electrocardiographic imaging, also known as inverse...
Macrolide antibiotics, pivotal in clinical therapeutics, are confronting resistance challenges mediated by enzymes like macrolide esterases, which classified into Ere-type and the less studied Est-type. In this study, we provide biochemical confirmation of EstX, an Est-type esterase that initially identified as unknown protein 1980s. EstX is capable hydrolyzing four 16-membered ring macrolides, encompassing both veterinary (tylosin, tidipirosin, tilmicosin) human-use (leucomycin A5)...
Abstract ETV6 :: RUNX1 is the most common fusion gene in childhood acute lymphoblastic leukaemia (ALL) and associated with favorable outcomes, especially low‐risk children. However, as many 10% of children relapse within 3 years, such early relapses have poor survival. Identifying at risk for an important challenge. We interrogated data from 87 ‐positive B‐cell ALL available preserved bone marrow samples (discovery cohort). profiled somatic point mutations a panel 559 genes genome‐wide...
Abstract Cholangiocarcinoma (CCA) is characterized by rapid onset and high chance of metastasis. Therefore, identification novel therapeutic targets imperative. E26 transformation‐specific homologous factor (EHF), a member the transcription family, plays pivotal role in epithelial cell differentiation cancer progression. However, its precise CCA remains unclear. In this study, through vitro vivo experiments, we demonstrated that EHF profound promoting transcriptional activation...
Abstract The study was aimed to determine the relationship between PLR (platelet lymphocyte ratio) and lateral pillar classification of Perthes disease, provide an alternative index for clinical diagnosis. In addition, association with necrosis stage disease also explored. This a retrospective study. 74 children 60 in healthy control group without femoral head our hospital from 2012 2021 were collected. general data parameters collected information system. modified herring fragmentation case...
The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.
Few studies on cervical intraepithelial neoplasia (CIN) keratinocyte cultures are available due to the numerous technical and methodological problems associated with