Article
Chemistry, Multidisciplinary
Fu Zhang, Qida Hu, Bowen Li, Yong Huang, Meng Wang, Shiyi Shao, Honglin Tang, Zhuo Yao, Yuan Ping, Tingbo Liang
Summary: This study presents a tumor microenvironment (TME)-responsive nanodrug, based on pancreatic ductal adenocarcinoma (PDAC) cell membrane-coated gold nanocages (AuNCs), for co-delivery of chemotherapeutics (GEM) and nitrogen oxide (NO) donor (L-Arg) to enhance drug accumulation and reduce multidrug resistance.
JOURNAL OF CONTROLLED RELEASE
(2023)
Article
Geochemistry & Geophysics
Mutlaq Alarouj, Matthew David Jackson
Summary: Monitoring water movement towards production wells through downhole measurements of self-potential (SP) is a promising new technology. Numerical modeling was used to investigate the behavior of SP during oil production with water injection in different reservoir models. The study found that the magnitude of the SP signal along a production well increased as water approached the well, exceeding the assumed noise level before water breakthrough. The trend of SP increasing at the well with time, along with the shape of the SP profile, were the main indicators of water movement.
Article
Chemistry, Multidisciplinary
Meirong Huo, Jiyuan Zhou, Honglan Wang, Yuzhao Zheng, Yuqing Tong, Jianping Zhou, Jiyong Liu, Tingjie Yin
Summary: A tumor extracellular pH sensitive nanodrug was developed in this study, achieving deep penetration and effective inhibition of the formation and progression of metastatic tumors through multi-mechanism regulation.
JOURNAL OF CONTROLLED RELEASE
(2022)
Article
Materials Science, Biomaterials
Xiao Wu, Yifeng Tan, Jing Zhang, Rong Cui, Chunyan Liao, Shiyong Zhang
Summary: A new immunogenic cell death (ICD) inducer, VC@cLAV, constructed by dietary antioxidants, lipoic acid (LA) and vitamin C (VC), shows potential as a safe and effective treatment for tumors. It induces high levels of reactive oxygen species (ROS) in cancer cells for ICD induction, while acting as an antioxidant in normal cells for cytoprotection. In preclinical studies, VC@cLAV demonstrates excellent antitumor activity and long-term immune memory effects.
JOURNAL OF MATERIALS CHEMISTRY B
(2023)
Article
Mechanics
Nickolay A. Lutsenko, Eugene A. Salgansky
Summary: This paper studies the heterogeneous combustion of porous metal-containing media, focusing on the phase transitions of metal in condensed and gas phases. A novel mathematical model based on conservation laws is developed to investigate the physicochemical and gas-dynamic processes during combustion waves in porous media with metal admixtures. The study shows that controlling gas velocity at the reactor inlet can influence metal transfer and accumulation processes, providing an effective method for extracting rare metals from combustible media.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2021)
Article
Energy & Fuels
Minghui Li, Fujian Zhou, Lishan Yuan, Liang Chen, Xiaodong Hu, Guopeng Huang, Shaobo Han
Summary: This study investigates the competitive propagation of multiple fractures in heterogeneous layered formations, revealing the impact of geological parameters on fracture pressure, fluid volume, and fracture length. The findings offer valuable insights for design of separate-layer fracturing in such formations.
Article
Engineering, Chemical
I. Lampropoulos, M. Kavousanakis
Summary: This study simulates the dynamics of a growing, heterogeneous vascular tumor and its response to combination chemotherapy. The model accounts for two spatial dimensions and treats the tumor as a multiphase, viscous fluid system. The simulations demonstrate the importance of chemotaxis in nutrient supply and show the effectiveness of anti-VEGF therapy and combination therapy in halting tumor progression and inducing tumor shrinkage.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Thermodynamics
A. G. Sourais, I. E. Markodimitrakis, N. T. Chamakos, A. G. Papathanasiou
Summary: The interaction between solid surface properties and transport phenomena during sessile droplet evaporation is crucial in solid deposition processes. A continuum level numerical model that incorporates solid-liquid interactions and can handle the moving three-phase contact line during evaporation is developed in this study. Depending on surface roughness and material wettability, the evaporation dynamics can follow a constant contact angle, constant contact radius, or a mixed mode. The model's predictions are experimentally validated and show excellent agreement, especially for evaporating droplets on rough hydrophobic substrates.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Review
Oncology
Aixia Dou, Jing Fang
Summary: Myeloid cells play a crucial role in tumor development, with pro-tumor and anti-tumor functions that impact tumor cells, tumor microenvironment, and immune system.
Article
Engineering, Chemical
Xi-Bao Zhang, Wei-Cheng Yan, Zheng-Hong Luo
Summary: The local bubble size distribution and Sauter mean diameter in bubble columns are influenced by the lift force and parameters in the class method, rather than the radial positions. Including lift force and increasing the minimum and maximum bubble diameters can improve the prediction accuracy of bubble size distribution.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Thermodynamics
Haifei Lin, Botao Li, Shugang Li, Lei Qin, Zongyong Wei, Pei Wang, Rongwei Luo
Summary: A thermal-mechanical-damage (TMD) model was proposed to investigate the effects of liquid nitrogen on the temperature, stress, and damage of coal samples. The results showed that the coal sample experienced a rapid drop in surface temperature upon contact with liquid nitrogen, leading to the formation of low-temperature and high thermal stress regions. These regions gradually expanded into the interior of the specimen as the freezing time increased. The temperature and stress changes in coal samples exhibited three main stages: rapid cooling, slow cooling, and stable temperature. Higher initial coal sample temperature resulted in more significant instantaneous thermal stress, more severe damage, and weaker mechanical properties. These findings provide a theoretical basis for the application of liquid nitrogen fracturing in coalbed methane extraction.
Article
Energy & Fuels
Huaiguang Xiao, Lei He, Yanlong Zheng, Shang Yan
Summary: This study adopts a deep learning method to generate 3D digital models for six types of granites, and compares them with natural granites to evaluate their characterization ability. The results show high texture and geometric similarities between the digital models and natural granites. It is also demonstrated that 3D homogeneous or 2D heterogeneous models cannot accurately represent the mechanical properties of complex 3D heterogeneous models. The second-order digital model is found to effectively characterize the mechanical properties of the first-order digital model.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Environmental Sciences
Xiaoyao Li, Nikolay Shabanov, Ling Chen, Yongguang Zhang, Huaguo Huang
Summary: Solar Induced chlorophyll Fluorescence (SIF) is a novel proxy of photosynthetic activity, which carries information about plant physiological state. The existing radiative transfer approaches of SIF generally ignore the heterogeneity within crown caused by pests. To address this issue, FluorESRT model was proposed to simulate the SIF of forests with heterogeneous distribution of damaged foliage. The model was validated and showed potential in early monitoring of pest damage.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Biotechnology & Applied Microbiology
Niloofar Fasaeiyan, M. Soltani, Farshad Moradi Kashkooli, Erfan Taatizadeh, Arman Rahmim
Summary: The computational modeling of positron emission tomography radiotracer uptake with consideration of blood flow and interstitial fluid flow, conducted in this study, revealed that interstitial pressure is highest in the tumor region, while interstitial fluid velocity is extremely low. This results in a concentration of radiotracer in the tumor region being an order of magnitude higher than in surrounding normal tissues. The study also showed different trends in free tracer and metabolized radiotracer concentrations over time, regardless of tissue type.
Article
Biochemistry & Molecular Biology
Guanghao Li, Zuyu Yang, Dafei Wu, Sixue Liu, Xuening Li, Tao Li, Yawei Li, Liji Liang, Weilong Zou, Chung- Wu, Hurng-Yi Wang, Xuemei Lu
Summary: Spatial genetic and phenotypic diversity within solid tumors can have a significant impact on tumor development. The proposed neutral spatial model suggests that mutation accumulation increases towards the periphery and the genealogical relationships are spatially determined, influencing selection efficacy. Testing this model can provide insights into natural selection during tumorigenesis, particularly for small solid tumors.
MOLECULAR BIOLOGY AND EVOLUTION
(2022)
Article
Chemistry, Physical
Jen-Cheng Wang, Min-Sheng Liao, Yeun-Chung Lee, Cheng-Yue Liu, Kun-Chang Kuo, Cheng-Ying Chou, Chen-Kang Huang, Joe-Air Jiang
JOURNAL OF POWER SOURCES
(2018)
Article
Agriculture, Multidisciplinary
Joe-Air Jiang, Min-Sheng Liao, Tzu-Shiang Lin, Chen-Kang Huang, Cheng-Ying Chou, Shih-Hao Yeh, Ta-Te Lin, Wei Fang
PRECISION AGRICULTURE
(2018)
Review
Green & Sustainable Science & Technology
Kun-Chang Kuo, Min-Sheng Liao, Jen-Cheng Wang, Yeun-Chung Lee, Chen-Kang Huang, Cheng-Ying Chou, Cheng-Yue Liu, Hsuan-Hshiang Hsu, Po-Han Chen, Joe-Air Jiang
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Computer Science, Information Systems
Joe-Air Jiang, Yu-Cheng Yang, Chien-Hao Wang, Jen-Cheng Wang, Lin-Kuei Su, Li-Cheng Wu, Min-Sheng Liao, Hung-Shuo Wu, Zheng-Wei Ye, Kai-Sheng Tseng, Cheng-Ying Chou
Article
Computer Science, Information Systems
Joe-Air Jiang, Jen-Cheng Wang, Hung-Shuo Wu, Chien-Hsing Lee, Cheng-Ying Chou, Li-Cheng Wu, Yu-Cheng Yang
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Multidisciplinary Sciences
Chia-Chun Hung, Yi-Hsuan Liu, Chu-Chung Huang, Cheng-Ying Chou, Chun-Ming Chen, Jeng-Ren Duann, Chiang-Shan R. Li, Tony Szu-Hsien Lee, Ching-Po Lin
SCIENTIFIC REPORTS
(2020)
Article
Multidisciplinary Sciences
Yu-Fang Hsieh, Chih-Kuo Lee, Weichung Wang, Yu-Cheng Huang, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou
Summary: This study focuses on utilizing a territory-based patient-specific approach derived from CCTA to estimate FFR and WSS for coronary arteries. The non-invasive simulation aids in diagnosing coronary stenosis significance and myocardial ischemia probability. By simulating fluid dynamics, mass flow rate estimation and FFR/WSS derivation can be achieved. The territory-based method shows high accuracy, sensitivity, and specificity in distinguishing between significant and non-significant stenosis.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Joe-Air Jiang, Huan-Chieh Chiu, Yu-Cheng Yang, Jen-Cheng Wang, Chien-Hsing Lee, Cheng-Ying Chou
Summary: An IoT-based sag-monitoring system is proposed in this study, which is capable of real-time detection of line sags. Long-term field testing has verified the effectiveness of the system. Compared to other sag measuring methods, the proposed system offers high measurement accuracy and wide field implementation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mythra Varun Nemallapudi, Atiq Rahman, Augustine Ei-Fong Chen, Shih-Chang Lee, Chih-Hsun Lin, Ming-Lee Chu, Chen-Ying Chou
Summary: Proton therapy is widely used for cancer treatment due to its precise dose deposition capability, but the proton range uncertainty remains a challenge. This study measured the depth distribution of positron emitters from a PMMA sample irradiated with protons and assessed the timing capabilities of the system.
IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Huanyi Zhou, Stanley Reeves, Cheng-Ying Chou, Andrew Brannen, Peter Panizzi
Summary: In this study, a constrained two-step online geometry calibration algorithm was developed to calibrate an integrated X-ray imaging system for small animals. The algorithm was validated through experiments on phantom and mouse imaging data.
Article
Engineering, Biomedical
Atiq Ur Rahman, Mythra Varun Nemallapudi, Cheng-Ying Chou, Chih-Hsun Lin, Shih-Chang Lee
Summary: The study utilized deep learning methods to map detector data directly to intrinsic dose distributions, with relative errors and uncertainties within acceptable ranges. This approach has the potential for broad application in particle therapy and may be extended to other areas of medical imaging in the future.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Cheng-Ying Chou, Shan-Cheng Chang, Zi-Ping Zhong, Ming- Chi Guo, Ming-Hsien Hsieh, Jui- Chu Peng, Ling- Chieh Tai, Ping-Liang Chung, Jen- Cheng Wang, Joe-Air Jiang
Summary: This study developed an AIoT system for asparagus growth and pest monitoring, providing guidelines for farmers and preventing outbreaks of pests and diseases. The system uses IoT and AI sensors to track environmental changes and pest populations, and a deep learning model for accurate detection and counting of pests.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Computer Science, Artificial Intelligence
Yiuwai Ng, Min-Tsun Liao, Ting-Li Chen, Chih-Kuo Lee, Cheng-Ying Chou, Weichung Wang
Summary: The proliferation of wearable devices has made it easier to collect electrocardiogram recordings and accurately identify atrial fibrillation using deep learning models. However, training personalized models with sufficient labeled data for individual patients is impractical. In this study, the researchers proposed a Siamese-network-based transfer learning approach to address this issue and achieved high accuracy in detecting atrial fibrillation.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Article
Environmental Sciences
Yi-Shin Chou, Cheng-Ying Chou
Summary: This study proposes an efficient and accurate method for detecting and mapping paddy fields in Taiwan using aerial images and remote sensing technology. By determining the optimal band combinations and vegetation index and employing an instance segmentation model, the study successfully detects paddy fields at different phenological stages. The results of this study are significant for agricultural production management and land use survey.
Article
Agriculture, Multidisciplinary
Min-Sheng Liao, Shih-Fang Chen, Cheng-Ying Chou, Hsun-Yi Chen, Shih-Hao Yeh, Yu-Chi Chang, Joe-Air Jiang
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2017)