Article
Engineering, Electrical & Electronic
Kaiqi Yao, Zhiliang Zhang, Jiacheng Tang, Zhesi Gao, Wenming Zhu, Zhanbiao Gu, Xiaoyong Ren, Qianhong Chen
Summary: The proposed linear-nonlinear step load control method achieves stable operation at full load within the minimum output voltage drop and settling time through nonlinear optimal step control.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Jiao Teng, Yi An, Lei Wang
Summary: This paper investigates a time-optimal control problem for a new type of linear parameter varying (LPV) system obtained through data identification in practical problem solving. The paper proposes a solution using the control parameterization method and modified particle swarm optimization (PSO) algorithm, and demonstrates the effectiveness of the algorithm through numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Marine
Siyuan Liu, Qi Shao, Wei Li, Guijun Han, Kangzhuang Liang, Yantian Gong, Ru Wang, Hanyu Liu, Song Hu
Summary: Conditional nonlinear optimal perturbation (CNOP) is a useful tool in studying atmosphere and ocean predictability problems. This study proposes a new initial guess selection scheme (PAIG-CNOP) to improve the probability of capturing the global CNOP. Numerical experiments show that the PAIG-CNOP method has a higher probability of capturing the global CNOP than the traditional RIG-CNOP method.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Stephen Franklin Weng, Ralph Kwame Akyea, Kenneth K. C. Man, Wallis C. Y. Lau, Barbara Iyen, Joseph Edgar Blais, Esther W. Chan, Chung Wah Siu, Nadeem Qureshi, Ian C. K. Wong, Joe Kai
Summary: Variability in response to statins among patients has been found, with those who have sub-optimal response being at increased risk of cardiovascular events, regardless of baseline cardiovascular disease risk levels.
Article
Computer Science, Information Systems
Alvaro Anzueto-Rios, Felipe Gomez-Castaneda, Luis M. Flores-Nava, Jose A. Moreno-Cadenas
Summary: This work focuses on using a spiking neural network to efficiently solve the non-linear dimensionality reduction problem of data, and utilizes a metaheuristic algorithm for training to improve network performance and complexity. Experimental results demonstrate that this approach can effectively train spiking neural networks, showcasing its practicality in the field of machine learning.
Article
Endocrinology & Metabolism
Enrique Lopez Gavilanez, Imaicela N. N. Luis, Navarro G. G. Mario, Helena Johansson, Nicholas C. C. Harvey, Mattias Lorentzon, Enwu Liu, Liesbeth Vandenput, Eugene V. V. McCloskey, John A. A. Kanis
Summary: Assessment and treatment pathways based on FRAX-based intervention thresholds in Chile can effectively identify high fracture risk patients and avoid unnecessary treatment for those at low fracture risk. The application of hybrid intervention thresholds helps to address the disparity in fracture probabilities observed with age-dependent thresholds.
ARCHIVES OF OSTEOPOROSIS
(2022)
Article
Multidisciplinary Sciences
Gergely Buza, Shobhit Jain, George Haller
Summary: This work proposes a rigorous mode-selection criterion based on the theory of spectral submanifolds, which allows for the reliable projection of governing nonlinear equations onto modal subspaces. By identifying critical linear normal modes associated with high curvature SSMs, the mode selection is automated and demonstrated to accurately reproduce forced-response curves in various examples, including high-dimensional finite-element models.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Engineering, Chemical
Florinda Capone, Maurizio Gentile, Jacopo A. Gianfrani
Summary: This study examines the onset of thermal convection in an anisotropic horizontal porous layer heated from below and rotating about a vertical axis under the assumption of local thermal non-equilibrium. Both linear and nonlinear stability analyses of the conduction solution are conducted, showing a coincidence between the linear instability and the global nonlinear stability thresholds with respect to the L-2-norm.
TRANSPORT IN POROUS MEDIA
(2021)
Article
Green & Sustainable Science & Technology
Shiyan Wen, Zhijie Jia
Summary: This study examines the impact of resource dependence on economic development in prefecture-level cities in China. The results show that resource blessing and resource curse exist in different regions, where resource blessing benefits growing resource-based cities while resource curse traps declining resource-based cities. Additionally, resource dependence has a negative short-term effect on economic development but a positive long-term effect. The study suggests that resource dependence hinders industrial upgrading and R&D, while the accumulation of human capital is crucial to break the resource curse.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Automation & Control Systems
Qi Wang, Zequn Qin, Feiping Nie, Xuelong Li
Summary: A novel convolutional two-dimensional nonlinear discriminant analysis method is proposed for dimensionality reduction, utilizing the nonlinearity of convolutional neural networks (CNNs) and learning ability. Experimental results in various image-related applications demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Nutrition & Dietetics
Liangyu Yin, Ling Zhang, Na Li, Jing Guo, Lijuan Liu, Xin Lin, Yang Fan, Jie Liu, Mengyuan Zhang, Feifei Chong, Xiao Chen, Chang Wang, Xu Wang, Tingting Liang, Xiangliang Liu, Li Deng, Wei Li, Mei Yang, Jiami Yu, Xiaojie Wang, Xing Liu, Shoumei Yang, Zheng Zuo, Kaitao Yuan, Miao Yu, Chunhua Song, Jiuwei Cui, Suyi Li, Zengqing Guo, Hanping Shi, Hongxia Xu
Summary: The study compared the performance of the Asian Working Group for Sarcopenia 2019 (AWGS) and optimal stratification (OS) defined handgrip strength thresholds in predicting the survival of patients with lung cancer, finding that OS-defined thresholds showed better performance. Additionally, handgrip strength had an n-shaped association with overall mortality among female patients with lung cancer.
Article
Endocrinology & Metabolism
E. V. McCloskey, H. Johansson, N. C. Harvey, M. Lorentzon, Y. Shi, J. A. Kanis
Summary: This study found that the efficacy of romosozumab on clinical fracture, osteoporotic fracture, and major osteoporotic fracture is significantly greater in patients at high baseline fracture risk compared with placebo.
OSTEOPOROSIS INTERNATIONAL
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Mehmet Ertas, Burcin Kirlar-Can
Summary: The study examines the relationships between motorcyclists' sensation seeking, risk perception, fear, and risk handling behavior. It finds that sensation seeking has both negative and positive effects on different aspects of risk handling behavior. The mediating role of risk perception and fear on sensation seeking and risk handling behavior is not supported. The findings provide insights into the factors influencing motorcyclists' risk behavior.
CURRENT ISSUES IN TOURISM
(2023)
Article
Nuclear Science & Technology
Anna Bianchi, Anna Selva, Paolo Colautti, Alessio Parisi, Filip Vanhavere, Brigitte Reniers, Valeria Conte
Summary: Research on the applications of microdosimetry in particle therapy is increasing globally, requiring the analysis of data with a standard procedure. The lower detection threshold affects dose-mean lineal energy values and can lead to different RBE values. Linear extrapolation to a common value significantly reduces deviations in mean values due to different lower thresholds.
RADIATION MEASUREMENTS
(2021)
Article
Engineering, Mechanical
Tapas Roy, Dilip K. Maiti
Summary: The study defines the auxiliary linear operator as La and generalizes it based on the zero roots of La = 0. By determining the best-fitted optimal La using the optimization technique, the study ensures and speeds up the convergence of the semi-analytical homotopy perturbation series solution, renaming it as Optimal and Modified Homotopy Perturbation Method (OMHPM). Three strongly nonlinear differential equations associated with fluid dynamics are considered to explore the dependencies of the optimal La and the convergence of the solution on various parameters. The results show that OMHPM is highly accurate and efficient compared to HPM, optimal HAM, and Domain decomposition optimal HAM. Additionally, OMHPM is a simple approach applicable to singular/non-singular highly nonlinear ordinary differential equations without the need for decomposition, linearization, artificial controlling parameters, or discretization.
NONLINEAR DYNAMICS
(2023)
