Ziyao Wang

Development and validation of an integrated imaging–pathology model for recurrence risk stratification in non-functional G1/G2 pancreatic neuroendocrine tumors: a multicenter study

Jinyin Zhang, Fan Yang, Qingquan Tan, 董江坤 et autres

cn (code pays fourni par la source)

The Influence of Remimazolam versus Propofol on Quality of Emergence and Sleep in Elderly Patients After Spinal Surgery: A Non-Randomized Observational Study

Jiaqi Zhang, Bing Zhao, Bo Liu, Shuhong Yang et autres

Purpose: Elderly patients undergoing spinal surgery face postoperative challenges, including delayed emergence and sleep disorders. The study aims to compare remimazolam versus propofol on postoperative emergence and sleep quality in this population, providing evidence for perioperative anesthesia management. Patients and methods: This …

cn (code pays fourni par la source)

Activation of multilayered plant immunity through spatiotemporal expression of Botrytis cinerea BcCrh1-derived dual epitopes

Yong Liang, Kai Shun Bi, Eugenio Llorens, Ella Zigdon et autres

Botrytis cinerea is a major necrotrophic pathogen responsible for significant crop losses worldwide. Alternative strategies to control B. cinerea are urgently needed to reduce dependence on chemical fungicides, which are increasingly ineffective due to resistance and pose environmental risks. In this study, …

il, cn, es, us (code pays fourni par la source)

Cost-effectiveness of open versus laparoscopic pancreaticoduodenectomy: a retrospective Markov model analysis from China

Yan Zhu, Qi Liu, Hua Cheng, Xiaoding Shen et autres

Introduction: Open pancreaticoduodenectomy (OPD) and laparoscopic pancreaticoduodenectomy (LPD) are the two main surgical approaches for treating pancreatic cancer. Objective: To evaluate the cost-effectiveness of OPD and LPD in treating pancreatic ductal adenocarcinoma by establishing a Markov Model. Methods: Patients with pancreatic ductal …

cn (code pays fourni par la source)

The Three-Dimensional Decomposition of Volatility Memory

Ziyao Wang, A. Alexandre Trindade, Svetlozar T. Rachev

This paper develops a three-dimensional decomposition of volatility memory into orthogonal components of level, shape, and tempo. The framework unifies regime-switching, fractional-integration, and business-time approaches within a single canonical representation that identifies how each dimension governs persistence strength, long-memory form, and temporal …

Blockchain Load Balancing Optimization for Multi-modal Transactions

Juntao Xu, Ziyao Wang, Yishu Wang, Ye Yuan

cn (code pays fourni par la source)

Neural Lévy SDE for State--Dependent Risk and Density Forecasting

Ziyao Wang, Svetlozar T. Rachev

Financial returns are known to exhibit heavy tails, volatility clustering and abrupt jumps that are poorly captured by classical diffusion models. Advances in machine learning have enabled highly flexible functional forms for conditional means and volatilities, yet few models deliver interpretable state--dependent …

MVMamba: A Multi-View Mamba with Tree Scanning Strategy for Remote Sensing Semantic Segmentation Task

Yin C. Hu, Ziyao Wang, Xianping Ma, Man-On Pun

Semantic segmentation is a critical yet challenging task in remote sensing (RS). Transformer-based models dominate the field but often face high computational demands, requiring a trade-off between accuracy and efficiency. To address this challenge, we propose Multi-View Mamba (MVMamba), a novel model …

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Myosteatosis Is Associated With Overall Survival in Patients Receiving Pancreatectomy for Pancreatic Neuroendocrine Tumors

Dan Tong Jia, Xiaoding Shen, Ziyao Wang, Fan Yang et autres

BACKGROUND: To investigate the association of myosteatosis with survival among patients receiving pancreatectomy for pNETs. METHODS: 161 patients were enrolled in this retrospective cohort study. Myosteatosis was evaluated using the mean skeletal muscle attenuation with predefined cut-off values. The impact of potential …

cn (code pays fourni par la source)

Review of recycling process routes for waste power batteries

Ziyao Wang, Pan Wang

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms

Ziyao Wang, Rongpeng Li, Sizhao Li, Yuming Xiang et autres

Intelligent control of Unmanned Aerial Vehicles (UAVs) swarms has emerged as a critical research focus, and it typically requires the swarm to navigate effectively while avoiding obstacles and achieving continuous coverage over multiple mission targets. Although traditional Multi-Agent Reinforcement Learning (MARL) approaches …

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code

Ping Guo, Wenjing Ye, Yayun He, Ziyao Wang et autres

Large Language Models (LLMs) have demonstrated great potential in automating the generation of Verilog hardware description language code for hardware design. This automation is critical to reducing human effort in the complex and error-prone process of hardware design. However, existing approaches predominantly …