A5101080109- Comparative and International Law Studies
- MRI in cancer diagnosis
- Online Learning and Analytics
- Topic Modeling
- American Constitutional Law and Politics
- Conflict of Laws and Jurisdiction
- Radiomics and Machine Learning in Medical Imaging
- Advanced Algorithms and Applications
- Evaluation Methods in Various Fields
- Advancements in Battery Materials
- Venous Thromboembolism Diagnosis and Management
- Blind Source Separation Techniques
- Icing and De-icing Technologies
- European and International Contract Law
- Educational Technology and Assessment
- Microbial Metabolism and Applications
- Breast Cancer Treatment Studies
- Advanced Radiotherapy Techniques
- Text Readability and Simplification
- Supercapacitor Materials and Fabrication
- Fire Detection and Safety Systems
- Chinese history and philosophy
- Cerebral Venous Sinus Thrombosis
- Spam and Phishing Detection
- Lipoproteins and Cardiovascular Health
Monash University
2025
Chinese National Academy of Arts
2023
The University of Melbourne
2023
Huizhou Central People's Hospital
2023
Lanzhou University of Technology
2019
Dalian University of Technology
2011-2012
Dalian University
2011
Abstract Objective Lymphovascular invasion (LVI) is critical for the effective treatment and prognosis of breast cancer (BC). This study aimed to investigate value eight machine learning models based on MRI radiomic features preoperative prediction LVI status in BC. Methods A total 454 patients with BC known who underwent were enrolled randomly assigned training validation sets at a ratio 7:3. Radiomic extracted from T2WI dynamic contrast-enhanced (DCE) sequences, optimal feature filter...
Background: Deep vein thrombosis (DVT) is prone to occur in the recovery of critically ill neurosurgical patients, increasing economic and psychological pressure, even endangering life.Plan-Do-Check-Action (PDCA) cycle a kind quality management procedure, which can help DVT treatment correctly understand cause disease take effective preventive nursing measures.The air wave pressure therapy instrument takes as core, forming circulating on limbs tissues, promoting flow blood lymph, improving...
<title>Abstract</title> Objective The early detection of lymphovascular invasion (LVI) is critical for the effective treatment breast cancer (BC). This study aimed to investigate a non-invasive radiomics model based on MRI sequences LVI screening in BC patients. Methods A total 454 patients were enrolled our study, with 150 group and 304 non-LVI group. Radiomics features extracted from scans, including T2WI DCE sequences, using LASSO analysis. Common machine learning algorithms (including...
Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cognitive tasks (e.g., generating ideas and turning them into sentences) GAI while still producing high-quality essays. This creates new challenges for teachers assessing supporting student learning, as they often lack insight whether engaging meaningful processes during writing or how much of the essay's quality be...
The principal task in neural dialogue generation is to learn generate coherent and diverse responses conditioned on history, thus imitate the intrinsic conversational skills of real humans. Conventional training approaches for (e.g., Maximum Likely Estimation (MLE)) focus capturing syntactic patterns, but fall short showcasing diversity expression. In this paper, we utilize contrastive learning dialogue, which extends conventional MLE-based with a counterpart, where models can be explicitly...
Objective To observe the effect of Huoxue-Yixin decoction combined with atorvastatin on NT-pro and QTd in patients chronic heart failure (CHF). Methods A total 120 our hospital from December 2016 to June 2017 were enrolled this study. The subjects randomly divided into control group (n=60) treatment (n=60). treated conventional treatment, atorvastatin. two groups for 30 days. NT-ProBNP, QTd, QTcd LVESD, LVEDD, LVEF before after compared. Results The at 2 d (45.6 ± 8.9 ms vs....
Ice detection of wind turbine blades is great significance to ensure the safe operation turbines. Due continuous process in initial icing and deicing stage, traditional ice methods that were established on instantaneous data had insufficient performance. In order capture accurately, long short-term memory (LSTM) network which better performance processing time series was used for this study. First, support vector regression (SVR) obtain a more precise deviation power an important parameter...