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Oral product input to the GI tract: GIS an oral product performance technology

Gordon L. Amidon, Yasuhiro Tsume

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 516-520 doi: 10.1007/s11705-017-1658-7

Abstract: In order to assure the safety and efficacy of pharmaceutical products, we need an predictive tool forWe have suggested to select different dissolution methodologies for this optimization based on BCS SubclassesIn this article, we present the predicted drug dissolution profile of ketoconazole as a model drugThis dissolution system allows the monitoring of the drug dissolution phenomena and the observation ofsupersaturation and the precipitation of pharmaceutical products, which is useful information to predict dissolution

Keywords： GIS     in vivo predictive dissolution     ketoconazole     BCS subclassification     supersaturation    

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In vivo imaging of hematopoietic stem cell development in the zebrafish

Panpan Zhang, Feng Liu

Frontiers of Medicine 2011, Volume 5, Issue 3,   Pages 239-247 doi: 10.1007/s11684-011-0123-0

Abstract: imaging is crucial for developmental biology and can further help to follow cell development/differentiation in normal and pathological conditions. Recent advances in optical imaging techniques has facilitated tracing of the developmental dynamics of a specific organ, tissue, or even a single cell. The zebrafish is an excellent model for imaging of hematopoiesis due to its transparent embryo at early stage; moreover, different zebrafish hematopoietic stem cells (HSCs) transgenic lines have been demonstrated as very useful tools for illustrating the details of the HSC developmental process. In this review, we summarize recent studies related to the non-invasive imaging of HSC transgenics, to show that zebrafish transgenic lines are powerful tools for developmental biology and disease. At the end of the review, the perspective and some open questions in this field will be discussed.

Keywords： hematopoietic stem cell     hematopoiesis     in vivo imaging     transgenics     zebrafish    

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Improved dissolution and anti-inflammatory effect of ibuprofen by solid dispersion

Liyuan Chen, Qifeng Dang, Chengsheng Liu, Jun Chen, Lei Song, Xiguang Chen

Frontiers of Medicine 2012, Volume 6, Issue 2,   Pages 195-203 doi: 10.1007/s11684-012-0189-3

Abstract:

The purpose of this study was to improve the dissolution rate and anti-inflammatory effect of ibuprofenThe dissolution of ibuprofen in urea was higher than in PEG4000 or mannitol.SDs were characterized in terms of dissolution, differential scanning calorimetry (DSC), X-ray diffraction In vitro release results indicated that the ibuprofen dissolution rate was improved by theThe dissolution rate and anti-inflammatory effect of ibuprofen were significantly enhanced by the ibuprofen-urea

Keywords： ibuprofen     solid dispersion     physical mixture     dissolution     anti-inflammatory effect    

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Research progress on hydrothermal dissolution and hydrolysis of lignocellulose and lignocellulosic waste

Yan ZHAO, Wenjing LU, Jiajun CHEN, Xiangfeng ZHANG, Hongtao WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 151-161 doi: 10.1007/s11783-013-0607-z

Abstract: inadequate information on the conversion mechanisms of lignocellulose, particularly the reaction rules of dissolutionThis paper critically reviewed the progress done in the research and development of the hydrothermal dissolutionPrinciples, processes, and related studies on separate dissolution and asynchronous hydrolysis of lignin

Keywords： lignocellulosic waste     hydrothermal conversion     separate dissolution     asynchronous hydrolysis     mechanism    

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Cadmium removal mechanistic comparison of three Fe-based nanomaterials: Water-chemistry and roles of Fe dissolution

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1586-8

Abstract:

● nZVI, S-nZVI, and nFeS were systematically compared for Cd(II) removal.

Keywords： Nano zero valent iron     Sulfided zero valent iron     FeS     Cd(II) immobilization     Fe dissolution    

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Effects of rotor and stator geometry on dissolution process and power consumption in jet-flow high shear

Lin Yang, Wenpeng Li, Junheng Guo, Wei Li, Baoguo Wang, Minqing Zhang, Jinli Zhang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 2,   Pages 384-398 doi: 10.1007/s11705-020-1928-7

Abstract: The jet-flow high shear mixer (JF-HSM) is a new type of intensified equipment with special configurations of the rotor and the stator. The mass transfer property and power consumption were studied in the solid-liquid system for a series of JF-HSMs involving different configuration parameters, such as rotor diameter, rotor blade inclination, rotor blade bending direction, stator diameter, and stator bottom opening diameter. The flow characteristics were examined by computational fluid dynamic simulations. Results indicate that the turbulent power consumption of the JF-HSM is affected by the change in rotor blade inclination and stator bottom opening. With the increase in the shear head size and the change in the rotor into a backward-curved blade, the solid-liquid mass transfer rate can be remarkably increased under the same input power. Dimensionless correlations for the mass transfer coefficient and power consumption were obtained to guide the scale-up design and selection of such a new type of equipment to intensify the overall mixing efficiency.

Keywords： jet-flow high shear mixer     solid particle dissolution     power consumption characteristics     CFD Simulation    

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Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 299-306 doi: 10.1007/s11465-008-0049-7

Abstract: To compensate for the network delay and counteract its impact on the teleoperation system, a predictiveForce feedback and a virtual predictive display are introduced to enhance the real-time efficiency of

Keywords： predictive     feedback     virtual predictive     distance     synchronization algorithm    

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molecule fluorescent probes for simultaneous imaging of two bioactive molecules in live cells and in vivo

Yongqing Zhou, Xin Wang, Wei Zhang, Bo Tang, Ping Li

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1,   Pages 4-33 doi: 10.1007/s11705-021-2041-2

Abstract: The interrelationships and synergistic regulations of bioactive molecules play pivotal roles in physiological and pathological processes involved in the initiation and development of some diseases, such as cancer and neurodegenerative and cardiovascular diseases. Therefore, the simultaneous, accurate and timely detection of two bioactive molecules is crucial to explore their roles and pathological mechanisms in related diseases. Fluorescence imaging associated with small molecular probes has been widely used in the imaging of bioactive molecules in living cells and due to its excellent performances, including high sensitivity and selectivity, noninvasive properties, real-time and high spatial temporal resolution. Single organic molecule fluorescent probes have been successively developed to simultaneously monitor two biomolecules to uncover their synergistic relationships in living systems. Hence, in this review, we focus on summarizing the design strategies, classifications, and bioimaging applications of dual-response fluorescent probes over the past decade. Furthermore, future research directions in this field are proposed.

Keywords： bioactive molecules     fluorescent probes     in living cells and in vivo     review    

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SWIR Fluorescence Imaging In Vivo Monitoring and Evaluating Implanted M2 Macrophages in Skeletal Article

Mo Chen, Yuzhou Chen, Sijia Feng, Shixian Dong, Luyi Sun, Huizhu Li, Fuchun Chen, Nguyen Thi Kim Thanh, Yunxia Li, Shiyi Chen, You Wang, Jun Chen

Engineering doi: 10.1016/j.eng.2023.05.010

Abstract: Here, we present a short-wave infrared (SWIR) fluorescence imaging technique to obtain more in vivoregression analyses determined that post-injury time and relative perfusion ratio could be used as predictiveThese results provide more in vivo details about M2Mø in skeletal muscle regeneration

Keywords： In vivo     Short-wave infrared     Skeletal muscle     Macrophage     Regeneration    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: multi-timescale optimal scheduling model is established for interconnected data centers (IDCs) based on model predictive

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

Keywords： CatMath     catalysis     volcano activity plots     Surface Pourbaix Diagrams     online platform    

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Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: This paper presents an extended model predictive control (MPC) scheme for implementing optimal path following

Keywords： autonomous vehicles     vehicle dynamic modeling     model predictive control     path following     optimization    

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machine-learning-based system identification of dynamical systems under control: application towards the model predictive

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: ., model predictive control, can offer superior control of key process variables for multiple-input multiple-outputblack-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictiveoutput and manipulated variables were trained on simulated data and integrated into a nonlinear model predictiveThis demonstration of how such system models could be identified for nonlinear model predictive control

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

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Fabrication and in vivo evaluation of Ti6Al4V implants with controlled porous structure and complex shape

Xiang LI, Yun LUO, Chengtao WANG, Wenguang ZHANG, Yuanchao LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 66-71 doi: 10.1007/s11465-012-0302-y

Abstract: with fully porous structures were implanted into cranial defects in rabbits to investigate the in vivo

Keywords： electron beam melting process     implant     porous structure     bone ingrowth    

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Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 32-44 doi: 10.1007/s11684-018-0678-0

Abstract: Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to

Keywords： immune checkpoint     companion diagnosis     PD-L1     tumor mutation burden     immune score    

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Title Author Date Type Operation

Oral product input to the GI tract: GIS an oral product performance technology

Gordon L. Amidon, Yasuhiro Tsume

Journal Article

In vivo imaging of hematopoietic stem cell development in the zebrafish

Panpan Zhang, Feng Liu

Journal Article

Improved dissolution and anti-inflammatory effect of ibuprofen by solid dispersion

Liyuan Chen, Qifeng Dang, Chengsheng Liu, Jun Chen, Lei Song, Xiguang Chen

Journal Article

Research progress on hydrothermal dissolution and hydrolysis of lignocellulose and lignocellulosic waste

Yan ZHAO, Wenjing LU, Jiajun CHEN, Xiangfeng ZHANG, Hongtao WANG

Journal Article

Cadmium removal mechanistic comparison of three Fe-based nanomaterials: Water-chemistry and roles of Fe dissolution

Journal Article

Effects of rotor and stator geometry on dissolution process and power consumption in jet-flow high shear

Lin Yang, Wenpeng Li, Junheng Guo, Wei Li, Baoguo Wang, Minqing Zhang, Jinli Zhang

Journal Article

Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Journal Article

molecule fluorescent probes for simultaneous imaging of two bioactive molecules in live cells and in vivo

Yongqing Zhou, Xin Wang, Wei Zhang, Bo Tang, Ping Li

Journal Article

SWIR Fluorescence Imaging In Vivo Monitoring and Evaluating Implanted M2 Macrophages in Skeletal

Mo Chen, Yuzhou Chen, Sijia Feng, Shixian Dong, Luyi Sun, Huizhu Li, Fuchun Chen, Nguyen Thi Kim Thanh, Yunxia Li, Shiyi Chen, You Wang, Jun Chen

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

The CatMath: an online predictive platform for thermal + electrocatalysis

Journal Article

Extended model predictive control scheme for smooth path following of autonomous vehicles

Journal Article

machine-learning-based system identification of dynamical systems under control: application towards the model predictive

Journal Article

Fabrication and in vivo evaluation of Ti6Al4V implants with controlled porous structure and complex shape

Xiang LI, Yun LUO, Chengtao WANG, Wenguang ZHANG, Yuanchao LI

Journal Article

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Journal Article