A5068144319- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Topic Modeling
- PARP inhibition in cancer therapy
- Multimodal Machine Learning Applications
- Ferroptosis and cancer prognosis
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced Bandit Algorithms Research
- Multiple Myeloma Research and Treatments
- Diverse Interdisciplinary Research Innovations
- HIV/AIDS Impact and Responses
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- Ovarian cancer diagnosis and treatment
- Breast Cancer Treatment Studies
- Synthesis and biological activity
- Ubiquitin and proteasome pathways
- Domain Adaptation and Few-Shot Learning
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Intellectual Capital and Performance Analysis
- Generative Adversarial Networks and Image Synthesis
- Hepatitis B Virus Studies
- earthquake and tectonic studies
- Travel-related health issues
Yanbian University
2024-2025
Xiamen University
2024-2025
Wuhan University
2018-2024
First Affiliated Hospital Zhejiang University
2024
Second Affiliated Hospital of Jilin University
2024
Fudan University
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Lanzhou University
2023
Institute of Navigation
2023
Tesaro (United States)
2019-2020
Point-of-Interest (POI) recommendation has been a trending research topic as it generates personalized suggestions on facilities for users from large number of candidate venues. Since users' check-in records can be viewed long sequence, methods based recurrent neural networks (RNNs) have recently shown promising applicability this task. However, existing RNN-based either neglect long-term preferences or overlook the geographical relations among visited POIs when modeling short-term...
Camouflaged Object Detection (COD) poses a significant challenge in computer vision, playing critical role applications. Existing COD methods often exhibit challenges accurately predicting nuanced boundaries with high-confidence predictions. In this work, we introduce CamoDiffusion, new learning method that employs conditional diffusion model to generate masks progressively refine the of camouflaged objects. particular, first design an adaptive transformer network, specifically designed for...
Most natural products in nature have broad but not exceedingly good biological activities. The pyrazole structure has been introduced into due to its suitability for various synthetic methods and pharmacological This article provides a detailed introduction the anti-inflammatory, antibacterial, antifungal, antiviral, anti-Alzheimer disease activities of pyrazole-modified product derivatives, particularly their anti-tumor activity. It is worth noting that compared lead compounds, most...
Existing sequential Point of Interest (POI) recommendation methods overlook a fact that each city exhibits distinct characteristics and totally ignore the signature. In this study, we claim matters in POI fully exploring signature can highlight facilitate cross-city complementary learning. To end, consider two-city scenario propose Dual-Target Cross-City Sequential Recommendation model (DCSPR) to achieve purpose learning across cities. On one hand, DCSPR respectively captures geographical...
A multiscale morphology scheme for enhancing local contrast of a coronary angiogram is proposed. The method consists combined top-hat operator with structuring elements different dimensions, which corresponds to the vessel diameter at each pixel point estimated by group Gabor wavelets under orientation and scale. Experiment shows results on real angiogram.
Recommendation systems have been widely applied to many E-commerce and online social media platforms. Recently, sequential item recommendation, especially session-based has aroused wide research interests. However, existing recommendation approaches either ignore the historical sessions or consider all without any distinction that whether are relevant not current session, which motivates us distinguish effect of each session identify for recommendation. In light this, we propose a novel deep...
One key property in recommender systems is the long-tail distribution user-item interactions where most items only have few user feedback. Improving recommendation of tail can promote novelty and bring positive effects to both users providers, thus a desirable systems. Current novel studies over-emphasize importance without differentiating degree users' intent on popularity often incur sharp decline accuracy. Moreover, none existing methods has ever taken extreme case items, i.e., cold-start...
Ovarian cancer (OCa) is a common malignancy in women, and the role of cuproptosis its related genes OCa unclear. Using GSE14407 dataset, we analyzed expression correlation cuproptosis-related (CRGs) between tumor normal groups. From TCGA-OV identified 20 long non-coding RNAs (CuLncs) associated with patient survival through univariate Cox analysis. patients were divided into early-stage late-stage groups to analyze CuLncs expression. Cluster analysis classified two clusters, Cluster1 having...
Evidences regarding the feasibility of transcatheter arterial chemoembolization (TACE)-based therapy for unresectable hepatocellular carcinoma (uHCC) remains limited. This study aimed to investigate efficacy and safety TACE combined with envafolimab lenvatinib uHCC. Eligible patients uHCC received after until disease progression, conversion surgery, intolerable toxicities, or death. The primary endpoint was objective response rate (ORR) assessed according Response Evaluation Criteria in...
The Point-of-Interest (POI) transition behaviors could hold absolute sparsity and relative very differently for different cities. Hence, it is intuitive to transfer knowledge across cities alleviate those data imbalance problems next POI recommendation. Recently, pre-training over a large-scale dataset has achieved great success in many relevant fields, like computer vision natural language processing. By devising various self-supervised objectives, models can produce more robust...
Abstract: The current review was undertaken to collate data on Gpx4 inhibitors and the regulatory proteins related Gpx4. plays an essential role in ferroptosis; it can be used determine as indicator for determining tumor occurrence a means of treating cancer. Although there is no market inhibitors, many researchers have conducted extensive research, some compounds entered clinical research. This article summarizes all papers Gpx4; hope this provide new insights ideas aiming develop efficient...
<h3>Introduction/Background</h3> Niraparib improves progression-free survival (PFS) in patients (pts) with newly diagnosed advanced ovarian cancer after 1st-line (1L) platinum-based chemotherapy (CT). We report the efficacy of niraparib pts by biomarker status. <h3>Methodology</h3> This double-blind, placebo (PBO)-controlled, phase 3 study randomized 733 ovarian, primary peritoneal, or fallopian tube a complete partial response (CR PR) to 1L CT. Stratification factors were best CT (CR/PR),...
To address the problems of attack category omission and poor generalization ability traditional Intrusion Detection System (IDS) when processing unbalanced input data, an intrusion detection strategy based on conditional Generative Adversarial Networks (cGAN) is proposed. The cGAN generates samples that approximately obey distribution pattern data are randomly distributed within a certain bounded interval, which can avoid redundancy caused by mechanical widening. experimental results show...
Video-text retrieval has widespread applications in economic and security domains, making it crucial to evaluate its robustness through adversarial attack. However, the existing research this field is inadequate. In paper, we first introduce attack task. By leveraging concept of metric learning, propose novel methods Cross-modal Dual Level Contrastive Attack (CDCA) Rank Pairing (CRPA). white-box scenario, CDCA utilizes distribution head tail examples list form positive negative example sets,...
The prevalence of type 2 diabetes mellitus (T2DM) has been rapidly growing in Chinese populations recent decades, and the shift eating habits is a key contributing factor to this increase. Eating out home (EOH) one major shifts during period. However, influence EOH on incidence T2DM among urban workers unknown. cross-sectional study involved an analysis 13,904 recruited from 11 health examination centers cities China explore relationship between 2013 September 2016 March. Average weekly...
Breast cancer typically arises from the terminal duct‑lobular unit of mammary gland and rarely ducts inside nipple. The present paper reports a rare case primary invasive ductal carcinoma papilla, which was locally advanced triple‑negative breast that treated with 6 cycles neoadjuvant chemotherapy nab‑paclitaxel, epirubicin cyclophosphamide regimen. Surgical pathology confirmed pathological complete response achieved adjuvant radiotherapy performed postoperatively. No recurrence or...
We aimed to understand the temporal dynamics of SARS‐CoV‐2 reinfection risk and assess impact inactivated vaccination on occurrence reinfection. investigated from November 1, 2022, February 12, 2023, when China rapidly lifted zero‐COVID policy. The study subjects were those who first infected during period between January 2020, October 31, in Dalian city, China. Among 1961 previous infections, 126 (6.4%, 95% CI: 5.4, 7.5) reinfected. increased over time since initial infection. Compared with...
Objective: To explore the expression of CD45 in newly diagnosed multiple myeloma (MM) and its relationship with clinical efficacy prognosis. Methods: This study retrospectively analyzed distribution 130 cases MM, comparing prognosis CD45(+)/CD45(-) groups. Results: ①The CD45(+) group was 33 (25.38%) , CD45(-) 97 (74.62%) . ②The objective remission rate (ORR) CD45(-)group 33.33% 64.95%, respectively. The difference statistically significant (P=0.002) For patients Bortezomib regimen, ORR...
The context information such as product category plays a critical role in sequential recommendation. Recent years have witnessed growing interest context-aware recommender systems. Existing studies often treat the contexts auxiliary feature vectors without considering dependency contexts. However, provides valuable clues to predict user's future behavior. For example, user might buy electronic accessories after he/she an product. In this paper, we propose novel seq2seq translation...