Article
Biophysics
Ahmed El-Fiqi, Joong-Hyun Kim, Hae-Won Kim
Summary: The study successfully prepared highly bioactive bone cement microspheres, which have the potential to serve as bone defect fillers to promote bone regeneration. These microspheres have a large specific surface area, sustained release of soluble silicate ions, and high protein adsorption capacity. The experimental results demonstrate that these cement microspheres exhibit excellent bioactivity both in vitro and in vivo, accelerating new bone formation.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2022)
Article
Multidisciplinary Sciences
Criseida Ruiz-Aguilar
Summary: The loss of teeth in the Mexican population due to periodontal diseases and trauma causes various problems such as difficulty in chewing and speaking, as well as aesthetic issues. The prevalence of oral diseases in Mexico is high, especially among pregnant women and diabetes patients. This study aimed to manufacture and characterize 3D scaffolds with innovative chemical compositions, showing promising results in terms of mechanical properties and similarity to natural bones.
Article
Engineering, Biomedical
Richard Frank Richter, Corina Vater, Margarete Korn, Tilman Ahlfeld, Martina Rauner, Winnie Pradel, Bernd Stadlinger, Michael Gelinsky, Anja Lode, Paula Korn
Summary: Calcium phosphate cements (CPC) are bone replacement materials with good bioactivity, but slow degradation. By combining CPC with mesoporous bioactive glass (MBG) particles, degradation can be enhanced. Functionalizing the MBG with hypoxia conditioned medium (HCM) can support new bone formation. This highly flexible material system has potential for clinical translation.
BIOACTIVE MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Yashar Rezaeipour, Parvin Alizadeh, Mozhgan Keshavarz
Summary: This study synthesized a bioactive glass and prepared composite scaffolds with different collagen concentrations. CSBG5 showed the best cell viability and adhesion, indicating its potential as a scaffold for uterine regeneration.
APPLIED MATERIALS TODAY
(2023)
Article
Engineering, Environmental
Zeying Wang, Dan Lin, Minjiao Wang, Runyi Mao, Hanjiang Zhao, Xingtai Huang, Steve G. F. Shen
Summary: This study proposes a method for fabricating mesoporous bioactive glass (MBG) scaffolds using self-assembly and 3D printing. The resulting scaffold exhibits superior mechanical strength, cellular penetration, and bone regenerative efficacy, making it potentially valuable for clinical applications in bone regeneration.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Biomedical
Jiawen Wang, Ziqing Cheng, Duanjing Chen, Guangyue Li, Jie Chen, Kai Wang, Ling Xu, Jiao Huang
Summary: Magnesium phosphate cement (MPC) has been modified to be porous by using calcium carbonate and citric acid as foaming agents. The resulting MPC with 3% CaCO3/CA showed improved physicochemical properties and enhanced biocompatibility. In animal experiments, 3%CaCO3/CA-MPC exhibited better bone regeneration compared to the blank group, and slightly lower regeneration compared to the Bio-Oss(R) group. This study suggests that porous MPC foamed with calcium carbonate and CA is a promising material for bone regeneration.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Pharmacology & Pharmacy
Kanwal Ilyas, Lamia Singer, Muhammad Asim Akhtar, Christoph P. Bourauel, Aldo R. Boccaccini
Summary: This study successfully prepared amino-functionalized mesoporous bioactive glass nanoparticles and loaded Boswellia sacra extract onto their surface. This research is of great significance for the development of phytotherapeutic-loaded antibacterial inorganic materials to improve tissue healing and regeneration.
Article
Biotechnology & Applied Microbiology
Xu Chen, Chun-Yan Gao, Xiao-Yang Chu, Chun-Yan Zheng, Ying-Yi Luan, Xin He, Kai Yang, Dong-Liang Zhang
Summary: This study synthesized a HG-HA-TCP scaffold loaded with VEGF, which showed good biocompatibility and mechanical properties. The results demonstrated that the scaffold could promote the proliferation, migration, and adhesion of stem cells, as well as enhance osteogenic differentiation and vascularization. In vivo experiments showed that the scaffold improved new bone regeneration and increased bone mineral density. This study is of great importance for bone tissue engineering and developing new clinical treatment strategies for bone tissue defects.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Haiyan Yao, Jun Luo, Yunyun Deng, Zhihua Li, Junchao Wei
Summary: Surface modification of mesoporous bioactive glass (MBG) with alginate (ALG) can improve its properties, including drug loading efficiency and drug release time. The modified MBG surface allows ordered deposition of apatite and significantly promotes osteogenic differentiation of bone cells.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Ming-Hsien Hu, Pei-Yi Chu, Ssu-Meng Huang, Bo-Sin Shih, Chia-Ling Ko, Jin-Jia Hu, Wen-Cheng Chen
Summary: The composite bone cement of calcium phosphate cement (CPC) and mesoporous bioactive glass (MBG) shows potential advantages in clinical applications, with good injectability and disintegration resistance. However, increasing the MBG content decreases the working/setting time and compressive strength.
Article
Engineering, Biomedical
M. T. Tavares, S. C. Santos, C. A. Custodio, J. P. S. Farinha, C. Baleizao, J. F. Mano
Summary: A novel PLMA-based nanocomposite was developed for bone repair and regeneration, capable of guiding the differentiation of human bone marrow-derived mesenchymal stem cells without any other osteogenic supplementation.
MATERIALS TODAY BIO
(2021)
Article
Engineering, Multidisciplinary
Ricardo J. R. Matos, Jorge C. Silva, Paula I. P. Soares, Joao Paulo Borges
Summary: Composite biomaterials consisting of PVP nanofibers containing MBG 80S15 nanoparticles were produced by electrospinning. The mechanical properties of the nanofibrous mats depended on the thermal crosslinking parameters and the presence of MBG particles. Degradation tests showed that the presence of MBG accelerated the degradation of the mats. In vitro bioactivity evaluation confirmed that the bioactive properties of MBG were maintained when incorporated into PVP nanofibers. The materials showed no cytotoxic effects and demonstrated potential for use in bone tissue engineering.
Article
Biotechnology & Applied Microbiology
Nianrou Mei, Yiwen Wu, Binglin Chen, Tian Zhuang, Xinge Yu, Baiyan Sui, Tingting Ding, Xin Liu
Summary: The integration of 3D printed GelMA-based scaffolds with mesoporous bioactive glass nanoparticles improves the structural stability and promotes the regeneration of periodontal tissues.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Review
Engineering, Biomedical
Oznur Demir-Oguz, Aldo R. Boccaccini, Dagnija Loca
Summary: Calcium phosphate bone cements (CPCs) have valuable properties such as bioactivity, osteoconductivity, injectability, and moldability, but their low mechanical performance limits their clinical application. Adding bioactive glasses (BGs) as a secondary powder phase can improve the injectable properties of CPCs and enhance the degradation rate, in vitro osteogenic differentiation, cell response, and tissue-material interaction.
BIOACTIVE MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Youwen Yang, Changfu Lu, Mingli Yang, Dongsheng Wang, Shuping Peng, Zongjun Tian, Cijun Shuai
Summary: This study successfully endowed the Mg-based scaffold with favorable antibacterial activity using Cu-MBG, while reducing the degradation rate of the Mg matrix by promoting the in situ deposition of apatite product, and improving cell response.
MATERIALS CHEMISTRY FRONTIERS
(2021)
Article
Food Science & Technology
M. Imran H. Khan, Duval Longa, Shyam S. Sablani, YuanTong Gu
Summary: This study proposes a machine learning-based model to characterize the micromechanical properties of plant-based food materials. By developing an artificial neural network model and optimizing it, the elastic modulus, stiffness, and hardness of plant-based food materials can be accurately predicted. The model has the potential to be used for characterizing the micromechanical properties of similar food products.
FOOD AND BIOPROCESS TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Junxian Liu, Ziyun Wang, Liangzhi Kou, Yuantong Gu
Summary: This paper provides a brief overview of the recent applications of van der Waals layered materials in electrocatalytic and photocatalytic hydrogen evolution reactions (HERs) from theoretical views, and emphasizes the importance of density functional theory (DFT) simulations in exploring layered HER catalysts.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Ziyang Wu, Ting Liao, Sen Wang, Wei Li, Binodhya Wijerathne, Wanping Hu, Anthony P. O'Mullane, Yuantong Gu, Ziqi Sun
Summary: In this study, Fe-doped MFe-LDHs (M = Co, Ni, Cu, Mn) were synthesized to investigate the influence of Fe on their electrocatalytic activity for the oxygen evolution reaction (OER). It was found that the Fe content had a significant impact on the catalytic performance, with an optimal Fe content resulting in the highest OER activity. Excess Fe, however, compromised the activity. Additionally, a volcano relationship was observed between the intermediate adsorption and Fe content, and intermediate adsorption capacitance was identified as a new activity descriptor for electrocatalysts.
MATERIALS HORIZONS
(2023)
Article
Chemistry, Multidisciplinary
Weizhen Meng, Xiaoming Zhang, Ying Liu, Xuefang Dai, Guodong Liu, Yuantong Gu, E. P. Kenny, Liangzhi Kou
Summary: Topological materials with surface metallic states and high carrier mobility have been considered as ideal catalysts for heterogeneous reactions. The relationship between their catalytic performance and topological states is still under debate. Through studies on the hydrogen evolution process under different doping and strain conditions, it has been demonstrated that the excellent catalytic performance indeed originates from the topological properties. A linear relationship between the length of Fermi arcs and Gibbs free energy (Delta G(H*)) has been found, providing direct evidence linking enhanced catalytic performance and surface Fermi arc states, and clarifying the fundamental mechanism in topological catalysis.
Article
Agricultural Engineering
Chanaka P. Batuwatta-Gamage, Charith Rathnayaka, Helambage C. P. Karunasena, Hyogu Jeong, Azharul Karim, Yuan Tong Gu
Summary: This study investigates the feasibility of using Physics-Informed Neural Networks with Automatic Differentiation to predict mass transfer and moisture variations during food drying. The proposed approach, called PINN-MT, incorporates convective mass transfer equation and Fick's law of diffusion into the loss function. Adaptive Activation and Transfer Learning are used to improve computational efficiency and prediction accuracy.
BIOSYSTEMS ENGINEERING
(2023)
Article
Mechanics
Jiachen Zhao, Zhongzheng Wang, Yuantong Gu, Emilie Sauret
Summary: A hybrid numerical model based on the lattice Boltzmann method and finite difference method is developed to investigate the control of viscous fingering using electrohydrodynamics. The effects of electric field strength and direction, as well as fluid properties, on viscous fingering are studied extensively. It is found that a horizontal electric field can either promote or suppress viscous fingering, depending on the permittivity ratio and conductivity ratio. A phase diagram is established to characterize the interfacial morphologies under different electric field orientations and fluid properties.
Article
Medicine, General & Internal
Ali H. Al-Timemy, Laith Alzubaidi, Zahraa M. Mosa, Hazem Abdelmotaal, Nebras H. Ghaeb, Alexandru Lavric, Rossen M. Hazarbassanov, Hidenori Takahashi, Yuantong Gu, Siamak Yousefi
Summary: In this study, a deep learning model is proposed to accurately and robustly detect early clinical keratoconus (KCN). By extracting features from three different corneal maps using Xception and InceptionResNetV2 deep learning architectures, and then fusing the features, subclinical forms of KCN can be detected with high accuracy. The model achieved an AUC of 0.99 and an accuracy range of 97-100% in distinguishing normal eyes from eyes with subclinical and established KCN. The model was further validated on an independent dataset with an AUC of 0.91-0.92 and an accuracy range of 88-92%. This model is a step toward improving the detection of clinical and subclinical forms of KCN.
Article
Computer Science, Theory & Methods
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, Jose Santamaria, A. S. Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed. A. A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali. H. H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin Abbosh, Yuantong Gu
Summary: Data scarcity is a major challenge in training deep learning models due to the need for a large amount of labeled data. Manual labeling is costly and time-consuming, and many applications lack sufficient data for training. This paper presents a comprehensive overview of state-of-the-art techniques to address the issue of data scarcity in deep learning and provides recommendations for data acquisition and ensuring the trustworthiness of training datasets.
JOURNAL OF BIG DATA
(2023)
Article
Chemistry, Physical
Chengkai Li, Haifei Zhan, Jiachen Zhao, Jinshuai Bai, Liangzhi Kou, Yuantong Gu
Summary: This study systematically investigated the sliding behaviors of one-dimensional carbon nanotubes in a polymer matrix through atomistic simulations. The functionalized nanotubes showed significantly enhanced interfacial shear strengths due to the strong mechanical interlocking effect. However, excess volume within the functionalized bundle structure weakened the non-bonded interaction. Covalent cross-linking allowed the simultaneous pulling out of surrounding nanotubes while extracting the central nanotube, attributed to filler-filler and filler-matrix interactions. The findings have implications for fiber design and high-performance polymer nanocomposites with one-dimensional nanomaterials.
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
Engineering, Multidisciplinary
N. Mai-Duy, Y. T. Gu
Summary: This paper presents a new high-order embedded-/immersed-boundary method based on point collocation and integrated radial basis functions (IRBFs) for solving an elliptic partial differential equation (PDE) in a domain with holes. The proposed scheme achieves high sparseness of the system matrix and high accuracy of the solution by incorporating nodal values of high-order derivatives and constructing a globally smooth solution. Numerical verification shows highly accurate results even with relatively coarse grids.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Oncology
Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Waail Lafta, Yuantong Gu
Summary: This paper presents a new technique of enhancing medical image diagnosis through transfer learning. The approach utilizes pre-training deep learning models on similar medical images and refining them with a small set of annotated medical images. The proposed transfer learning approach showed excellent results in classification tasks and demonstrated adaptability in CT cases. It overcomes the limitations of limited labelled images and improves the performance of medical image classification algorithms.
Article
Chemistry, Multidisciplinary
Dongyu Bai, Yihan Nie, Jing Shang, Junxian Liu, Minghao Liu, Yang Yang, Haifei Zhan, Liangzhi Kou, Yuantong Gu
Summary: In this study, the effects of strain on ferroelectric domains in an In2Se3 monolayer were investigated using density functional theory and deep learning molecular dynamics simulations. The results show that bending, rippling, and bubbling can create localized ferroelectric domains with varying sizes, and the switching dynamics depend on the magnitude of curvature and temperature.
Article
Engineering, Multidisciplinary
Zeng Lin, Fawang Liu, Junchao Wu, Dongdong Wang, Yuantong Gu
Summary: In this work, a meshfree technique is used to analyze the time-Caputo and space-Laplacian fractional diffusion equations in three dimensions. The proposed method employs the stabilized conforming nodal integration and lumped mass matrix techniques to increase computational efficiency. The spatial discretization is achieved using a three-dimensional reproducing kernel particle method. Numerical examples demonstrate the accuracy and effectiveness of the proposed method.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Multidisciplinary
Hyogu Jeong, Chanaka Batuwatta-Gamage, Jinshuai Bai, Yi Min Xie, Charith Rathnayaka, Ying Zhou, Yuantong Gu
Summary: Physics-Informed Neural Networks (PINNs) have gained attention in the field of topology optimization. This paper proposes a novel framework, CPINNTO, which integrates two distinct PINNs to achieve complete machine-learning-based topology optimization. The research findings indicate that CPINNTO can achieve optimal topologies without labeled data nor FEA, and it demonstrates stability and favorable compliance values in various topology optimization applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Materials Science, Biomaterials
Izabela Stupka, Artur P. Biela, Bernard Piette, Agnieszka Kowalczyk, Karolina Majsterkiewicz, Kinga Borzecka-Solarz, Antonina Naskalska, Jonathan G. Heddle
Summary: Artificial protein cages, such as TRAP-cages, have potential applications in vaccines and drug delivery. TRAP-cages have the ability to control the disassembly conditions by modifying the interface between their building blocks. By using TRAP rings with different numbers of monomers, it is possible to predict the formation of other cages.
JOURNAL OF MATERIALS CHEMISTRY B
(2024)
Article
Materials Science, Biomaterials
Guo Zhang, Yu Wang, Hua Qiu, Lei Lu
Summary: This study presents a one-pot synthesis method for flower-like AMPs@EAMP particles by combining antimicrobial peptides with ellagic acid, offering enlarged surface area, excellent biocompatibility, and broad-spectrum antibacterial activity. In vivo studies indicate their potential for tissue repair and immune barrier reconstruction.
JOURNAL OF MATERIALS CHEMISTRY B
(2024)
Article
Materials Science, Biomaterials
Jiamei Zhang, Lingshuang Wang, Cheng Xu, Yingui Cao, Shengsheng Liu, Rui L. Reis, Subhas C. Kundu, Xiao Yang, Bo Xiao, Lian Duan
Summary: Pluronic F127 modified silk fibroin film with different types of antibacterial agents could accelerate wound recovery by promoting fibroblast adhesion, eradicating bacteria, and facilitating angiogenesis and re-epithelialization.
JOURNAL OF MATERIALS CHEMISTRY B
(2024)
Article
Materials Science, Biomaterials
Yinsheng Liu, Mingyue Wang, Yinfei Hui, Lei Sun, Yanrui Hao, Henlong Ren, Hao Guo, Wu Yang
Summary: In this study, a rare-earth hybrid luminescent material was developed for the detection of a biomarker for anthrax. The material showed excellent selectivity and high sensitivity, allowing for the determination of the biomarker in saliva and urine. Additionally, a convenient point-of-care testing method using fluorescent test paper and a smartphone was established for the initial diagnosis of anthrax.
JOURNAL OF MATERIALS CHEMISTRY B
(2024)
Review
Materials Science, Biomaterials
Wenshuai Yang, Jingsi Chen, Ziqian Zhao, Meng Wu, Lu Gong, Yimei Sun, Charley Huang, Bin Yan, Hongbo Zeng
Summary: Injectable hydrogels with shear-thinning and/or in situ formation properties offer distinct advantages in bioengineering applications, as they can be directly delivered to target sites, possess self-healing abilities, and simplify the implantation process.
JOURNAL OF MATERIALS CHEMISTRY B
(2024)
