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Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 3,   Pages 386-406 doi: 10.1007/s11705-015-1533-3

Abstract: Inline spectroscopic techniques for real time monitoring of bioreactor cell culture process have theHowever, the use of inline Fourier transform infrared (FTIR) spectroscopic techniques for bioreactorIn this work, real time inline FTIR Spectroscopy was applied to a lab scale bioreactor mAb IgG3 cellThe technical feasibility of using FTIR Spectroscopy for real time tracking and monitoring four key cellTherefore, this work demonstrated the technical feasibility of real time monitoring of the bioreactor

Keywords： process analytical technology (PAT)     Fourier-transform infrared (FTIR) spectroscopy     partial least squares(PLS) regression     mouse IgG3     bioreactor cell culture process     real time process monitoring    

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Achieving High Strength and Tensile Ductility in Pure Nickel by Cryorolling with Subsequent Low-Temperature Short-Time

Zhide Li,Hao Gu,Kaiguang Luo,Charlie Kong,Hailiang Yu,

Engineering doi: 10.1016/j.eng.2023.01.019

Abstract: In this study, cryorolling under different strains followed by low-temperature short-time annealing wasshow that the synergistic effect of strength and ductility can be regulated through low-temperature short-time

Keywords： Cryorolling     Annealing     Nickel     Strain hardening     Ductility    

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Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuriesamong children and adolescents in China: a time-stratified case-crossover study

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1705-1

Abstract:

● A study assessing the temperature-injury relationship was conducted among students.

Keywords： Ambient temperature     Fall     Road traffic injury     Student     China    

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The measurement and analysis of ice induced vibration of JZ9-3WHPB oil platform in Bohai Sea

lan Zhigang,Zhao Yinnina,Guo Jianfeng,Zhou Zhentao,Xing Jian,Bai Gang,Lu Hongge,Li Huihui

Strategic Study of CAE 2011, Volume 13, Issue 5,   Pages 79-87

Abstract: Short time Fourier transform was employed to study the temporal variations and mode frequencies of the

Keywords： ffshore platform     sea ice of Bohai Sea     ice induced vibration     vibration acceleration     short time Fourier    

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Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionBased on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract: For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuousResults show that use of CWT with the proposed wavelets overcomes the short coming of FFT while processing

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The Clifford Fourier transform (CFT) can be applied to both vector and scalar fields.The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectively

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fourier    

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Short-term effects of excessive anaerobic reaction time on anaerobic metabolism of denitrifying polyphosphate

Gang GUO, Yayi WANG, Chong WANG, Hong WANG, Mianli PAN, Shaowei CHEN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 616-624 doi: 10.1007/s11783-013-0505-4

Abstract: The short-term effect of anaerobic reaction time (AnRT) (i.e., 90, 120 and 150 min) on the denitrifyingIn conclusion, the short-term excessive anaerobic reaction time negatively impacted denitrifying P removal

Keywords： Denitrifying phosphorus removal     anaerobic reaction time     nitrous oxide     polyhydroxyalkanoate     free nitrous    

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Yuan-zhang Liu: a Short Biography

Anon

Frontiers of Engineering Management 2014, Volume 1, Issue 1,   Pages 113-114 doi: 10.1530/J-FEM-2014016

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Shou-rong Zhang: a Short Biography

Anon.

Frontiers of Engineering Management 2014, Volume 1, Issue 2,   Pages 225-226 doi: 10.15302/J-FEM-2014030

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Thermogravimetric coupled with Fourier transform infrared analysis study on thermal treatment of monopotassium

Yuheng FENG, Xuguang JIANG, Yong CHI, Xiaodong LI, Hongmei ZHU

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 186-192 doi: 10.1007/s11783-011-0322-6

Abstract: phosphate residue), considered as a hazardous waste, were studied using a thermogravimetric, coupled with Fourier

Keywords： hazardous waste     combustion     pyrolysis     thermogravimetric coupled with Fourier transform infrared analysis    

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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: To give meaningful information for feedforward control systems, predictions in different time scalesperiodicity, the decreasing of prediction accuracy is not distinct with increasing of the prediction time

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency    

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Dynamic time prediction for electric vehicle charging based on charging pattern recognition Research Article

Chunxi LI, Yingying FU, Xiangke CUI, Quanbo GE

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 299-313 doi: 10.1631/FITEE.2200212

Abstract: Overcharging is an important safety issue in the charging process of electric vehicle power batteries, and can easily lead to accelerated battery aging and serious safety accidents. It is necessary to accurately predict the vehicle's to effectively prevent the battery from overcharging. Due to the complex structure of the battery pack and various s, the traditional prediction method often encounters modeling difficulties and low accuracy. In response to the above problems, data drivers and machine learning theories are applied. On the basis of fully considering the different electric vehicle battery management system (BMS) s, a prediction method with recognition is proposed. First, an intelligent algorithm based on dynamic weighted density peak clustering (DWDPC) and fusion is proposed to classify vehicle s. Then, on the basis of an improved simplified particle swarm optimization (ISPSO) algorithm, a high-performance prediction method is constructed by fully integrating and a strong tracking filter. Finally, the data run by the actual engineering system are verified for the proposed prediction algorithm. Experimental results show that the new method can effectively distinguish the s of different vehicles, identify the charging characteristics of different electric vehicles, and achieve high prediction accuracy.

Keywords： Charging mode     Charging time     Random forest     Long short-term memory (LSTM)     Simplified particle swarm    

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network    

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Study on the crystal morphology and melting behavior of isothermally crystallized composites of short

Mingtao RUN, Hongzan SONG, Yanping HAO

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 3,   Pages 255-264 doi: 10.1007/s11705-009-0008-9

Abstract: The spherulites of the short carbon fiber(SCF)/poly (trimethylene terephthalate) (PTT) composites formed

Keywords： poly(trimethylene terephthalate)     short carbon fiber     banded spherulites     crack    

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Title Author Date Type Operation

Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

Journal Article

Achieving High Strength and Tensile Ductility in Pure Nickel by Cryorolling with Subsequent Low-Temperature Short-Time

Zhide Li,Hao Gu,Kaiguang Luo,Charlie Kong,Hailiang Yu,

Journal Article

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuriesamong children and adolescents in China: a time-stratified case-crossover study

Journal Article

The measurement and analysis of ice induced vibration of JZ9-3WHPB oil platform in Bohai Sea

lan Zhigang,Zhao Yinnina,Guo Jianfeng,Zhou Zhentao,Xing Jian,Bai Gang,Lu Hongge,Li Huihui

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Short-term effects of excessive anaerobic reaction time on anaerobic metabolism of denitrifying polyphosphate

Gang GUO, Yayi WANG, Chong WANG, Hong WANG, Mianli PAN, Shaowei CHEN

Journal Article

Yuan-zhang Liu: a Short Biography

Anon

Journal Article

Shou-rong Zhang: a Short Biography

Anon.

Journal Article

Thermogravimetric coupled with Fourier transform infrared analysis study on thermal treatment of monopotassium

Yuheng FENG, Xuguang JIANG, Yong CHI, Xiaodong LI, Hongmei ZHU

Journal Article

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Dynamic time prediction for electric vehicle charging based on charging pattern recognition

Chunxi LI, Yingying FU, Xiangke CUI, Quanbo GE

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Study on the crystal morphology and melting behavior of isothermally crystallized composites of short

Mingtao RUN, Hongzan SONG, Yanping HAO

Journal Article