Explanipedia

Effects of COVID-19 vaccination and past SARS-CoV-2 infection on subsequent COVID-19 infection in people with HIV Open

Xueying Yang, Fanghui Shi, Shujie Chen, Ziang Liu, Yangjianchen Xu , et al. · 2025

Natural immunity conferred from past COVID-19 infection in PWH against reinfection appeared to be higher than vaccine-induced immunity. Boosters were more effective than the primary series alone in preventing subsequent infection.

Efficient control of spider-like medical robots with capsule neural networks and modified spring search algorithm Open

Ziang Liu, Xiaoxia Jian, Touseef Sadiq, Zaffar Ahmed Shaikh, Osama Alfarraj , et al. · 2025

This study introduces an innovative method for gesture recognition in medical robotics, utilizing Capsule Neural Networks (CNNs) in conjunction with the Modified Spring Search Algorithm (MSSA). This approach achieves remarkable efficiency …

Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management Open

Yusuke Nomura, Ziang Liu, Tatsushi Nishi · 2025

Perishable goods have a limited shelf life, and inventory should be discarded once it exceeds its shelf life. Finding optimal inventory management policies is essential since inefficient policies can lead to increased waste and higher cost…

Entropy‐Mediated Crystallization Manipulation in Glass Open

Xu Feng, Guanfeng Gao, Quanhua Lin, Yongkang Yang, Jiajia Tan , et al. · 2024

The entropy mediated temperature‐structure evolution has attracted significant interest, which is used for the development of functional alloys and ceramics. But such strategy has not yet been demonstrated for development of non‐metallic g…

Real-world effectiveness of COVID-19 vaccine in people with HIV compared with a matched HIV-negative cohort: A test-negative design Open

Xueying Yang, Jiajia Zhang, Ziang Liu, Shujie Chen, Sharon Weissman , et al. · 2024

A complete primary series of COVID-19 vaccines offered significant protection against SARS-CoV-2 infection and severe outcomes in both PWH and PWoH populations, although this wanes with time. However, the estimate of VE against SARS-CoV-2 …

Study on Energy Efficient Motion Planning for Industrial SCARA Robots by Particle Swarm Optimization Open

Tomofumi Fujiwara, Tatsushi Nishi, Ziang Liu · 2024

Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration Open

Ziang Liu, Xiaoxia Jian, Touseef Sadiq, Zaffar Ahmed Shaikh, Osama Alfarraj , et al. · 2024

This paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a modified metaheuristic algorithm, called the Promoted Osprey Optimizer (…

Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation Open

Ziang Liu, Tomoya Kawabe, Tatsushi Nishi, Shun Ito, Tomofumi Fujiwara · 2024

Packing problems are classical optimization problems with wide-ranging applications. With the advancement of robotic manipulation, there are growing demands for the automation of packing tasks. However, the simultaneous optimization of pac…

A Route Planning Method for Multiple Mobile Robots by Combining Deep Q-Network and Graph Search Open

Konosuke Fukushima, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara · 2024

Transparent composites for efficient neutron detection Open

Shichao Lv, Dazhao Wang, Junzhou Tang, Ziang Liu, H. Inoue , et al. · 2024

Investigation of Customized Medical Decision Algorithms Utilizing Graph Neural Networks Open

Yafeng Yan, Shuyao He, Yu Zhou, Jiajie Yuan, Ziang Liu , et al. · 2024

Aiming at the limitations of traditional medical decision system in processing large-scale heterogeneous medical data and realizing highly personalized recommendation, this paper introduces a personalized medical decision algorithm utilizi…

The dynamic risk factors of cardiovascular disease among people living with HIV: a real-world data study Open

Ziang Liu, Jiajia Zhang, Xueying Yang, Haoyuan Gao, Shujie Chen , et al. · 2024

Background This study aims to investigate the incidence and dynamic risk factors for cardiovascular diseases (CVD) among people living with HIV (PLWH). Methods In this population-based statewide cohort study, we utilized integrated electro…

Quantitative bias analysis methods for summary level epidemiologic data in the peer-reviewed literature: a systematic review Open

Xiaoting Shi, Ziang Liu, Mingfeng Zhang, Hua Wei, Jie Li , et al. · 2024

Objective Quantitative bias analysis (QBA) methods evaluate the impact of biases arising from systematic errors on observational study results. This systematic review aimed to summarize the range and characteristics of quantitative bias an…

Design and Analysis of the Dual-Band Far-Field Super-Resolution Metalens with Large Aperture Open

Cheng Guo, Zhishuai Zheng, Ziang Liu, Zilong Yan, Yucheng Wang , et al. · 2024

The resolving power of metalens telescopes rely on their aperture size. Flat telescopes are advancing with the research on super-resolution confocal metalenses with large aperture. However, the aperture sizes of metalenses are usually boun…

Assessing the Role of Green Finance in Enhancing Rural Economic Resilience and Environmental Sustainability Open

Ziang Liu · 2024

Green finance plays a key role in enhancing the resilience of rural economies and environmental sustainability. Rural economies have traditionally relied on natural resources, which makes them particularly vulnerable to climate change and …

Distributed optimization algorithm for multi-agent optimization problems using consensus control Open

Tatsushi Nishi, Naoto Debuchi, Ziang Liu · 2024

The distributed optimization algorithms using consensus control are proposed for solving multi-agent optimization problems. The multi-agent optimization problem has discrete and continuous decision variables to minimize the sum of local co…

Data-Driven Scheduling of Cellular Manufacturing Systems Using Process Mining with Petri Nets Open

Hidefumi Kurakado, Tatsushi Nishi, Ziang Liu · 2024

Surrogate-Assisted Motion Planning and Layout Design of Robotic Cellular Manufacturing Systems Open

Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara · 2024

Beyond Agriculture: Engineered SynComs for Large-Scale Environmental Remediation Open

H Liu, Xu Liu, Ziang Liu, S H Liu, Yifan Bu · 2024

Three-Dimensional Bin Packing Problems with the Operating Time of a Robot Manipulator Open

Naoya Mikyu, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara · 2024

Resource constrained project scheduling formulation for optimization of product input sequence and workforce scheduling for multi-stage multi-product cellular production lines Open

Tatsushi Nishi, Hidefumi Kurakado, Ziang Liu · 2024

The workforce scheduling problem for cell production lines has been recognized as one of the significant issues in manufacturing systems. In most of previous studies, complex workers’ operations in a cell such as traveling times of multi-s…

Model-Based Control with Sparse Neural Dynamics Open

Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Li Fei-Fei , et al. · 2023

Learning predictive models from observations using deep neural networks (DNNs) is a promising new approach to many real-world planning and control problems. However, common DNNs are too unstructured for effective planning, and current cont…

COVID-19 breakthrough infections among people living with and without HIV: A statewide cohort analysis Open

Xueying Yang, Jiajia Zhang, Ziang Liu, Shujie Chen, Bankole Olatosi , et al. · 2023

Learning to Design and Use Tools for Robotic Manipulation Open

Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu · 2023

When limited by their own morphologies, humans and some species of animals have the remarkable ability to use objects from the environment toward accomplishing otherwise impossible tasks. Robots might similarly unlock a range of additional…

DRL-Based Hybrid Task Offloading and Resource Allocation in Vehicular Networks Open

Ziang Liu, Zongpu Jia, Xiaoyan Pang · 2023

With the explosion of delay-sensitive and computation-intensive vehicular applications, traditional cloud computing has encountered enormous challenges. Vehicular edge computing, as an emerging computing paradigm, has provided powerful sup…

Evolutionary-Game-Theory-Based Epidemiological Model for Prediction of Infections with Application to Demand Forecasting in Pharmaceutical Inventory Management Problems Open

Yu Nishihata, Ziang Liu, Tatsushi Nishi · 2023

Pharmaceuticals play a critical role in the eradication of infectious diseases. Effective pharmaceutical inventory management is important for controlling epidemics since medical resources such as pharmaceuticals, medical staff, and hospit…

A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place Open

Md Moktadir Alam, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara · 2023

Energy usage in robotic applications is rapidly increasing as industrial robot installations grow. This research introduces a novel approach, using the rapidly exploring random tree (RRT)-based scheme for optimizing the robot’s motion plan…

Data-driven evolutionary computation for service constrained inventory optimization in multi-echelon supply chains Open

Ziang Liu, Tatsushi Nishi · 2023

Supply chain digital twin has emerged as a powerful tool in studying the behavior of an actual supply chain. However, most studies in the field of supply chain digital twin have only focused on what-if analysis that compares several differ…

Generalizable Metric Network for Cross-domain Person Re-identification Open

Lei Qi, Ziang Liu, Yinghuan Shi, Xin Geng · 2023

Person Re-identification (Re-ID) is a crucial technique for public security and has made significant progress in supervised settings. However, the cross-domain (i.e., domain generalization) scene presents a challenge in Re-ID tasks due to …

Anti-skid durability of porous drainage asphalt mixture based on discrete element Open

Lin Qi, Jiahao Liu, Ziang Liu · 2023

In order to improve safety indicators such as the skid resistance and durability of road, the discrete-element method is used to study the proportion of the asphalt mixture, and the spatial structure of the coarse aggregates and asphalt mo…

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