Article
Multidisciplinary Sciences
Tom Marzin, Emmanuel de Langre, Sophie Ramananarivo
Summary: The mechanisms of drag reduction through shape reconfiguration have been extensively studied, particularly on model geometries that deform primarily in bending. The addition of an origami crease pattern to these models introduces a distinct class of deformation modes, resulting in large shape changes along selected degrees of freedom. Experiments on a waterbomb base showed that the origami unit folded into a compact structure under uniform airflow, leading to a collapse in frontal area and an enhancement in drag reduction. The authors further demonstrated that this drag reduction limit could be adjusted by modifying the stiffness, rest angle, and pattern of the folds, offering a valuable asset for self-protection in high wind conditions.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Agricultural Engineering
Daniel J. Robertson, Zachary W. Brenton, Stephen Kresovich, Douglas D. Cook
Summary: The chemical composition of grain stalks has been extensively studied, but less attention has been given to the influence of stalk architecture. This study shows that stalk architecture has a greater influence on stalk bending strength than chemical composition. The results indicate that future studies on lodging should consider the dominant influence of stalk architecture.
BIOSYSTEMS ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Taiichiro Ookawa, Tomohiro Nomura, Eri Kamahora, Mingjin Jiang, Yusuke Ochiai, Ahmad Fahim Samadi, Takuya Yamaguchi, Shunsuke Adachi, Keisuke Katsura, Takashi Motobayashi
Summary: Severe lodging caused by strong typhoons has become increasingly common in recent climate change. This study highlights the importance of identifying and pyramiding quantitative trait loci and responsible genes associated with strong culm in order to develop high-yielding varieties with superior lodging resistance. The results demonstrate that pyramiding strong culm genes can significantly enhance culm diameter, culm strength, and spikelet number, leading to improved yield and lodging resistance in high-yielding varieties.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Interdisciplinary Applications
Muzaffer Akbay, Craig Schroeder, Tamar Shinar
Summary: The paper presents a boundary pressure projection method to alleviate the incompatibility while addressing the incompressibility dilemma. This method projects incompatible velocities from the structure solver to be compatible and computes constant pressure modes for the Dirichlet regions.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Agriculture, Multidisciplinary
Gong Li-sha, Qu Shu-jie, Huang Guan-min, Guo Yu-ling, Zhang Ming-cai, Li Zhao-hu, Zhou Yu-yi, Duan Liu-sheng
Summary: The use of EDAH+DA-6 treatment can improve summer maize yield by shaping plant morphological characteristics and enhancing group photosynthesis during the growing season.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2021)
Article
Mechanics
Liu Yang, Yingjie Wei, Cong Wang, Weixue Xia, Jiachuan Li, Zilu Wang, Dehua Zhang
Summary: Experimental and numerical studies have shown that deformable spheres can form three typical cavities during vertical water entry: dumpy cavity, tight cavity, and nested cavity. Elasticity of the material can alter the shape of the cavity, requiring specific impact conditions and material properties. The minimum velocity required to form the nested cavity has been theoretically predicted and validated using experimental and numerical techniques.
Article
Multidisciplinary Sciences
Dongyu Liang, Minghu Zhang, Xin Liu, Hui Li, Zhenjiao Jia, Dinghao Wang, Ting Peng, Ming Hao, Dengcai Liu, Bo Jiang, Lin Huang, Shunzong Ning, Zhongwei Yuan, Xuejiao Chen, Lianquan Zhang
Summary: In this study, four new synthetic hexaploid wheat lines were developed through chromosome doubling, showing strong lodging resistance and high resistance to stripe rust pathogen. These lines provide new materials for improving common wheat.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Marine
Shun Huang, Dilong Guo, Yiwei Wang, Guowei Yang, Bo Yin
Summary: This paper investigates the effects of posterior body morphology on the propulsion performance of thunniform swimmers through numerical simulations. It is found that the interaction between posterior body vortices and leading edge vortices of the caudal fin can significantly enhance the fin's thrust, especially with increasing height of the posterior body. Moreover, reducing the width of the posterior body can help decrease the trunk drag. These findings contribute to the understanding of tuna fish propulsion mechanism and provide guidance for designing biomimetic swimming devices.
Article
Chemistry, Multidisciplinary
Yizhe Liu, Fei Pan, Feng Xiong, Yuling Wei, Yicheng Ruan, Bin Ding, Kuijian Yang, Yuli Chen
Summary: This study proposes a class of 2D and 3D chiral mechanical metamaterials based on prestressed bistable metallic shells, which enables fast shape-reconfiguration with large morphing amplitude, high energy-efficiency, and ultrafast speed. The metamaterials can transform from an extended state to a rolled-up state at a transitional speed of 7.56 m/s, resulting in 25.38- and 101.14-times body area/volume variation per second for 2D and 3D metamaterials, respectively. Additionally, smart trapper and phononic structures with tunable band gaps are achieved based on these metamaterials. This work provides a straightforward platform for designing metamaterials and their derived systems with ultrafast and large-amplitude shape-reconfigurability.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Agronomy
Shurong Hao, Ting Ding, Xuan Wang, Xia Liu, Yugeng Guo
Summary: The study compared different irrigation and drainage modes for the anti-lodging cultivation of Super Rice Japonica 9108. The results showed that the Rain-catching and Controlled Irrigation (RC-CI) mode had the best performance, enhancing the mechanical strength and anti-lodging ability of the stem. The Drought Planting with Straw mulching (DPS) mode, despite experiencing severe water deficit, still showed some resistance to lodging. This study provides data and theoretical support for regulating the lodging resistance of super rice through irrigation measures.
Article
Biology
Runxin Fang, Zidun Wang, Xie Zhao, Jun Wang, Yang Li, Yanjuan Zhang, Qiang Chen, Jiaqiu Wang, Quanjun Liu, Minglong Chen, Zhiyong Li
Summary: The majority of cardioembolic strokes in patients with non-valvular atrial fibrillation (NVAF) are caused by clot formation in the left atrial appendage (LAA). This study aimed to explore the differences in LAA morphological and hemodynamic parameters between patients with and without a stroke history. The results showed that stroke patients had smaller LAA tortuosity and orifice area, lower orifice velocities, but higher particle residual rates and blood renewal rates compared to non-stroke patients. These LAA parameters may be used to assess stroke risk in patients with NVAF.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biochemistry & Molecular Biology
Shanshan Wu, Jinlong Zhang, Chuangye Li, Fuli Wang, Lanlan Shi, Mengxue Tao, Beibei Weng, Bin Yan, Yong Guo, Yuxia Chen
Summary: Cattail fibers show promising application prospects in natural composites due to their low density, high specific modulus, and high elongation at break. Their unique micro/nano structure endows the fibers with stable structure and good oil absorption capacities, which could improve the performance of reinforced composites.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2021)
Article
Genetics & Heredity
Lei Liu, Songtao Liu, Haibo Lu, Zaimin Tian, Haichao Zhao, Dong Wei, Shuo Wang, Zhihong Huang
Summary: This study identified key genes and metabolic pathways involved in lodging resistance in maize through integrated transcriptome, metabolome, and phenotypic analyses. The results revealed the importance of phenylalanine metabolism and biosynthesis pathways, as well as phenylpropanoid and secondary metabolites biosynthesis pathways in lodging resistance. Additionally, genes related to plant hormone signal transduction pathways were found to be associated with maize lodging resistance.
FRONTIERS IN GENETICS
(2022)
Article
Agronomy
Zhaojie Li, Wei Wu
Summary: The study demonstrates that using AMMI and BLUP methods, in combination with multiple traits in multiple environments, can help select stable and high-performing rapeseed genotypes. The MTSI is a useful indicator that can assist breeders in selecting genotypes with excellent performance and stability across different environments.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
Article
Engineering, Multidisciplinary
Patrick Staubach, Jan Machacek
Summary: This work discusses the modeling and solution methods of contact constraints in the simulation of multi-phase porous media in contact with a structure. A hydro-mechanically coupled finite element formulation and a mortar contact discretization scheme are proposed to distinguish the contact constraints of different phases.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Wenjian Yang, Ma Luo, Yanfei Gao, Xiqiao Feng, Jinju Chen
Summary: This paper proposes a computational model to study the mechanosensing mechanisms of fibroblast cells on elastic hydrogel substrates. By considering the sensing mechanisms of cells to the rigidity, deformation, and traction forces of the substrate and neighboring cells, the model predicts the effects of substrate stiffness and thickness on stress fiber formation, disassociation, and integrin density. The results show that cells can sense neighboring cells by deforming the underlying substrate, and collective cells have enhanced mechanosensing capacity. This model not only enhances our understanding of cell mechanosensing, but also has implications for the design of biomaterials for tissue engineering and wound healing.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Neurosciences
Linghan Kong, Suhao Qiu, Yu Chen, Zhao He, Peiyu Huang, Qiang He, Ru-Yuan Zhang, Xi-Qiao Feng, Linhong Deng, Yao Li, Fuhua Yan, Guang-Zhong Yang, Yuan Feng
Summary: In this study, a custom-built head-worn electromagnetic actuator was used to accurately apply vibration to the brain inside a magnetic resonance imaging scanner. Results showed that brain regions experienced reduced blood flow with increasing vibration frequency, particularly within the default mode network.
Article
Chemistry, Physical
Wei-Zhi Huang, Bo Li, Xi-Qiao Feng
Summary: In this paper, a theoretical model is proposed to investigate the mechanobiological response of soft tissues undergoing stress-modulated growth. It is found that non-uniform stresses, which evolve with tissue growth, can produce up-down asymmetric surface morphologies. The study provides insights into the morphological changes of biological tissues under physiological and pathological conditions.
Article
Engineering, Mechanical
Zi-Long Zhao, Yi Rong, Yi Yan, Xi-Qiao Feng, Yi Min Xie
Summary: In this paper, a new subdomain-based parallel strategy is proposed for three-dimensional topology optimization, which significantly accelerates the optimization process through subdomain division, matrix calculation, and hard-kill algorithm. The strategy is integrated into an efficient and compact Python code, valid for design space with an arbitrary shape.
ACTA MECHANICA SINICA
(2023)
Article
Engineering, Mechanical
Ziyi Wang, Shengchuan Wu, Yu Lei, Hang Li, Chao Yu, Kun Zhou, Xiqiao Feng, Guozheng Kang
Summary: This paper presents a novel mesoscopic damage model to characterize the low-cycle fatigue damage evolution of an extruded AZ31 magnesium alloy, taking into account the effect of twinning. The damage caused by the slip bands-twin boundaries and slip bands-grain boundaries interactions is treated based on the Tanaka-Mura model and the Eshelby inclusion theory. The proposed damage model is able to reproduce the damage evolution processes and predict the crack initiation life within the twice error band.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Physics, Applied
Hui-Kai Zhang, Wei-Tong Chen, Shi-Hao Xu, Jian Wu, Bo Li, Xi-Qiao Feng
Summary: In this paper, an active strategy to manipulate topological phase transitions in elastic topological insulators is proposed. The method combines pneumatic actuation and liquid metals and achieves precise and fast control of topological phase transitions and elastic wave bandgap switching. The work also reveals the active spinning bulk-boundary effects and higher-order topological states in elastic topological insulators, showing the effectiveness and practicability of the proposed method. Additionally, the study specifies the differences between 1D edge and 0D corner higher-order states using information entropy theory.
JOURNAL OF APPLIED PHYSICS
(2023)
Article
Chemistry, Physical
Rui Han, Xi-Qiao Feng, Waldemar Vollmer, Paul Stoodley, Jinju Chen
Summary: Bacteria adapt the mechanical properties of their cell envelope, including cell wall stiffness, turgor, and cell wall tension and deformation, to grow and survive in harsh environments. This study quantified the mechanical properties and turgor of Staphylococcus epidermidis using theoretical modelling and experimental approaches. The results showed that high osmolarity leads to a decrease in both cell wall stiffness and turgor, and that the turgor change is associated with a change in bacterial cell viscosity. The study also found that cell wall tension is higher in deionized water and decreases with an increase in osmolality.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Shu-Yi Sun, Li -Yuan Zhang, Xindong Chen, Xi-Qiao Feng
Summary: In this paper, a biochemomechanical tensegrity model of cytoskeletons is established to study the spatiotemporal dynamics of cells. It is revealed that the interplay of internal active forces and chemical reactions may induce spontaneous oscillations of cells. This work provides a theoretical framework for studying the multiscale biochemomechanical coupling behaviors of cytoskeletons and a tool for simulating the spatiotemporal dynamics of cells under various physiological and pathological conditions.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Engineering, Mechanical
Bo Peng, Chaochen Xu, Qingao Wang, Pei Zhao, Xiqiao Feng, Qunyang Li
Summary: Composite structures of 2D materials on elastic substrates have potential applications in flexible electronics. To understand the strength and failure behavior of the film/substrate interfaces, two graphene/polymer samples with different adhesion properties are tested. An improved shear-lag model is proposed to analyze the decohesion behavior, revealing the influence of three dimensionless parameters. This work provides an analytical solution for characterizing and optimizing the mechanical properties of thin film/polymer devices.
Article
Biochemistry & Molecular Biology
Fanjian Li, Yafan Liu, Lei Li, Ruilong Peng, Cong Wang, Chuan Liu, Mingming Shi, Yiyao Cao, Yalong Gao, Hejun Zhang, Xilei Liu, Tuo Li, Haoran Jia, Xiaotian Li, Qiaoling Zhang, Zilong Zhao, Jianning Zhang
Summary: Traumatic brain injury (TBI) can have negative effects on systemic organs, leading to increased mortality and disability. Our study found that brain-derived extracellular vesicles (BDEVs) released from the injured brain can induce widespread fibrin deposition in the microvasculature of the lungs, kidney, and heart, causing histological damage and dysfunction in these organs. Additionally, BDEVs can also induce cell apoptosis and endothelial cell damage in multiple organs.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2023)
Article
Engineering, Multidisciplinary
Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi, Xi-Qiao Feng, YuanTong Gu
Summary: Our study reveals that physics-informed neural networks (PINN) are often local approximators after training. This led to the development of a novel physics-informed radial basis network (PIRBN), which maintains the local approximating property throughout the training process. Unlike deep neural networks, PIRBN consists of only one hidden layer and a radial basis activation function. Under appropriate conditions, we demonstrated that PIRBNs can converge to Gaussian processes using gradient descent methods. Furthermore, we investigated the training dynamics of PIRBN using the neural tangent kernel (NTK) theory and explored various initialization strategies. Numerical examples showed that PIRBN is more effective than PINN in solving nonlinear partial differential equations with high-frequency features and ill-posed computational domains. Moreover, existing PINN numerical techniques such as adaptive learning, decomposition, and different loss functions can be applied to PIRBN. The reproducible code for all numerical results is available at https://github.com/JinshuaiBai/PIRBN.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Yi Rong, Zi-Long Zhao, Xi-Qiao Feng, Jialing Yang, Yi Min Xie
Summary: This study investigates the formation, optimization, and evolution mechanisms of plant roots through biomechanical morphogenesis. The results reveal that the morphological evolutions of root systems are driven by maximizing the transport efficiency of water and nutrients, and are regulated by geotropism, hydrotropism, and growth inertia.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Mechanics
Chensheng Luo, Ruiyong Mou, Xingrong Huang, Wei-Xi Huang, Le Fang
Summary: This study investigates the small-amplitude oscillation regime of a square cylinder under vortex-induced rotation through numerical simulations and an analytical model, and explains the mechanism of this regime. Additionally, an alternative method for determining local flow parameters through global dynamic quantities is proposed.
Review
Instruments & Instrumentation
Jiangping Xu, Yun Wang, Hector Gomez, Xiqiao Feng
Summary: This review provides an overview of computational modeling for vascular tumor growth, drug biotransport, and tumor response, as well as discusses potential strategies for improving drug effectiveness. It highlights the importance of further research in areas such as multiscale modeling, patient-specific parameters, and coupling of models with medical imaging technologies.
SMART MATERIALS AND STRUCTURES
(2023)
Article
Physics, Fluids & Plasmas
Kun Li, Cunjing Lv, Xi-Qiao Feng
Summary: The morphology and motion behavior of a cell are influenced by external stimuli and geometric confinement. The adhesion of vesicles is significantly influenced by the mean curvature of the substrate. The configuration of vesicles adhered to curved substrates is obtained theoretically and numerically simulated, and the role of curvature in adhesion and potential biological significances are discussed.