Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft by Yujia Jin, Xingyu Chen, Keke Wang, Deyin Jiang, Jingyi Liu, Huan Pang

“…This study presents a stochastic wear prediction framework that systematically integrates joint clearance dynamics, contact force variations, and material interaction parameters. …”
Get full text

Towards a more objective and high-throughput spheroid invasion assay quantification method by Rozanne W. Mungai, Roger J. Hartman, Grace E. Jolin, Kevin W. Piskorowski, Kristen L. Billiar

“…The goal of this work is to develop a high-throughput quantification method of cell invasion into 3D matrices that minimizes sensitivity to initial spheroid size and cell spreading and provides precise integrative directionally-dependent metrics of invasion. …”
Get full text

Linear Gauss Pseudospectral Method Using Neighboring Extremal for Nonlinear Optimal Control Problems by Tianyou Zhang, Wanchun Chen, Liang Yang

“…This article proposes a method to solve nonlinear optimal control problems with arbitrary performance indices and terminal constraints, which is based on the neighboring extremal method and Gauss pseudospectral collocation. …”
Get full text

An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process by Kaixiang Peng, Bingzheng Wang, Jie Dong

“…Focusing on quality-related complex industrial process performance monitoring, a novel multimode process monitoring method is proposed in this paper. Firstly, principal component space clustering is implemented under the guidance of quality variables. …”
Get full text

Material point method investigation of thermal effects on combustion evolution in composition B explosive by Weidong CHEN, Peiwen WU, Shengzhuo LU, Shibo WU, Mingwu SUN, Bo SUN

“…Thermal stimuli play a critical role in ammunition integrity studies, where understanding their effects on the combustion evolution of energetic materials is essential for safety engineering. …”
Get full text

Finite Element Method Stress Analysis of Kammprofile Gasket Defects and Evaluation of the Sealing Performance by Muhammad Afiq Azmansah, Ahmad Majdi A Rani, Fudhail Abd Munir

“…Therefore, the Finite Element Method (FEM) analysis using static structural was developed to analyse the influence of dimension variations and defects, specifically on pitch, serration depth and thickness of the Kammprofile gasket that drive the leakage in the flange gasketed joints by finding the compressive strains, maximum and average contact stresses. …”
Get full text

Research on Variable Circulation Design Method and Internal Flow Characteristic of the Axial Flow Pump by Xuewei Yu, Qili Gan, Zifan Ling, Jiahui Gong, Jiajia Tang, Lijian Shi

“…To investigate the influence of circulation distribution on axial-flow pump performance, this study integrates numerical simulation and theoretical analysis methods, establishing a simulation framework based on MATLAB and CFX. …”
Get full text

A Rapid Computational Method for Quantifying Inter-Regional Air Pollutant Transport Dynamics by Luoqi Yang, Guangjie Wang, YeGui Wang, Yibai Wang, Yongjing Ma, Xi Zhang

“…A novel atmospheric pollutant transport quantification model (APTQM) has been developed to analyze and quantify cross-regional air pollutant transport pathways and fluxes. The model integrates high-resolution numerical simulations, Geographic Information System (GIS) capabilities, and advanced statistical evaluation metrics with boundary pixel decomposition methods to effectively characterize complex pollutant transport dynamics while ensuring computational efficiency. …”
Get full text

Development of an Innovative Physical-Geometry-Based Soil Moisture Retrieval Method for CYGNSS Constellations by Xuerui Wu, Shumin Han, Xiaojuan Tian, Xinming Huang, Kuo Cao

“…A novel soil moisture retrieval method is proposed based on a zero-order scattering model. …”
Get full text

Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
Get full text

Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis. by Abigail J Enoch, Mike English, Clinical Information Network, Gerald McGivern, Sasha Shepperd

“…According to the interviews, variation in pulse oximeter use between hospitals is because of differences in pulse oximeter availability and the leadership of senior doctors in advocating for pulse oximeter use, whereas variation within hospitals over time is due to repair delays. …”
Get full text

A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications by Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, Naoki Yamamoto

“…In this study, we develop a quantum-classical computing scheme involving the computational-basis variational quantum deflation (cVQD) method for calculating the excited states of a general classical Hamiltonian, such as an Ising Hamiltonian. …”
Get full text

The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Methods: This research utilizes canopy image data acquired from the 2023–2024 rice full-cycle multi-view RGB imaging system (with dual front and side camera positions). …”
Get full text

Der Müller Peter and (s) Fischers Emma by Theresa Schweden

“…This article presents the results of a research project addressing the grammatical and pragmatic variation of these unofficial names. A mixed methods approach shows that the order of “surname + given name” is triggered by dialect area, the size of a village or town, the age of the speakers, as well as the integration of a referent into the local community. …”
Get full text

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

“…To diminish dataset shift in real-world settings, this paper proposes the out-of-distribution reject option for prediction (ODROP). This method integrates an OOD detection model to preclude OOD data from the prediction phase. …”
Get full text

A prediction model for soil heavy metal content based on improved tensor completion by Zhangang Wang, Wenjie Li, Tianhe Yun, Jiaxiang Qi

“…To enhance prediction accuracy, the method incorporates total variation as a complementary regularization technique alongside low-rank constraints, addressing limitations in traditional tensor completion approaches. …”
Get full text

Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

Get full text

Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

Get full text

Research on RST Controller for Single-phase Inverter by LONG Tao, SUN Chi

“…The RST controller’s performance was analyzed under the influences of reference frequency variation and parameters variation of the control object. …”
Get full text

Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data by Chunbo Jiang, Xiaoshuai Guo, Yongfu Li, Ning Lai, Lei Peng, Qinglong Geng

“…The study analyzes the impact of different neural network architectures, including the CNN feature extraction layer, the depth of the fully connected layer, and the method of integrating meteorological data, on model performance. …”
Get full text