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XOR-based erasure codes 1

and delete (CRUD) matrix 1

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Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared spectroscopy: Implications for enabling cell culture process analytical technology? ?

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: Compared to small molecule process analytical technology (PAT) applications, biotechnology product PAT applications have certain unique challenges and opportunities. Understanding process dynamics of bioreactor cell culture process is essential to establish an appropriate process control strategy for biotechnology product PAT applications. Inline spectroscopic techniques for real time monitoring of bioreactor cell culture process have the distinct potential to develop PAT approaches in manufacturing biotechnology drug products. However, the use of inline Fourier transform infrared (FTIR) spectroscopic techniques for bioreactor cell culture process monitoring has not been reported. In this work, real time inline FTIR Spectroscopy was applied to a lab scale bioreactor mAb IgG3 cell culture fluid biomolecular dynamic model. The technical feasibility of using FTIR Spectroscopy for real time tracking and monitoring four key cell culture metabolites (including glucose, glutamine, lactate, and ammonia) and protein yield at increasing levels of complexity (simple binary system, fully formulated media, actual bioreactor cell culture process) was evaluated via a stepwise approach. The FTIR fingerprints of the key metabolites were identified. The multivariate partial least squares (PLS) calibration models were established to correlate the process FTIR spectra with the concentrations of key metabolites and protein yield of in-process samples, either individually for each metabolite and protein or globally for all four metabolites simultaneously. Applying the 2 derivative pre-processing algorithm to the FTIR spectra helps to reduce the number of PLS latent variables needed significantly and thus simplify the interpretation of the PLS models. The validated PLS models show promise in predicting the concentration profiles of glucose, glutamine, lactate, and ammonia and protein yield over the course of the bioreactor cell culture process. Therefore, this work demonstrated the technical feasibility of real time monitoring of the bioreactor cell culture process via FTIR spectroscopy. Its implications for enabling cell culture PAT were discussed.

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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Enterprise-level business component identificationin business architecture integration Article

Jiong FU, Xue-shan LUO, Ai-min LUO, Jun-xian LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1320-1335 doi: 10.1631/FITEE.1601836

Abstract: To quantify the indices ofbusiness components, we formulate a create, read, update, and delete(CRUD)

Keywords： Business architecture integration     Business component     Component identification     Create     read     update    

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SA-RSR: a read-optimal data recovery strategy for XOR-coded distributed storage systems Research Articles

Xingjun ZHANG, Ningjing LIANG, Yunfei LIU, Changjiang ZHANG, Yang LI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 858-875 doi: 10.1631/FITEE.2100242

Abstract:

To ensure the reliability and availability of data, redundancy strategies are always required for s. Erasure coding, one of the representative redundancy strategies, has the advantage of low storage overhead, which facilitates its employment in s. Among the various erasure coding schemes, are becoming popular due to their high computing speed. When a occurs in such coding schemes, a process called takes place to retrieve the failed node's lost data from surviving nodes. However, data transmission during the process usually requires a considerable amount of time. Current research has focused mainly on reducing the amount of data needed for to reduce the time required for data transmission, but it has encountered problems such as significant complexity and local optima. In this paper, we propose a random search recovery algorithm, named SA-RSR, to speed up recovery of . SA-RSR uses a simulated annealing technique to search for an optimal recovery solution that reads and transmits a minimum amount of data. In addition, this search process can be done in polynomial time. We evaluate SA-RSR with a variety of in simulations and in a real storage system, Ceph. Experimental results in Ceph show that SA-RSR reduces the amount of data required for recovery by up to 30.0% and improves the performance of by up to 20.36% compared to the conventional recovery method.

Keywords： Distributed storage system     Data reliability and availability     XOR-based erasure codes     Single-node failure     Data recovery    

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Title Author Date Type Operation

Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared spectroscopy: Implications for enabling cell culture process analytical technology? ?

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

Journal Article

Enterprise-level business component identificationin business architecture integration

Jiong FU, Xue-shan LUO, Ai-min LUO, Jun-xian LIU

Journal Article

SA-RSR: a read-optimal data recovery strategy for XOR-coded distributed storage systems

Xingjun ZHANG, Ningjing LIANG, Yunfei LIU, Changjiang ZHANG, Yang LI

Journal Article