Improved Nonlinear Quality Estimation for Multiphase Batch Processes Based on Relevance Vector Machine with Neighborhood Component Variable Selection

Batch processes are usually involved with a succession of operating phases so as to produce high-added-value market-oriented products. During the manufacturing process, different batch phases can be driven by various nonlinear correlations between production quality variables and those measurement variables. Moreover, process variables also show varying influential effects on final qualities with the evolution of operating phases. In order to make reasonable real-time quality estimations, it should be necessary to identify influential quality-relevant variables as well as key time slices. In the present work, a new multiphase dimension reduction method called the phase-based neighborhood component variable selection (pNCVS) is first utilized to filter out the insignificant variables in each phase. Afterward, the phase-based relevance vector machine (pRVM) is developed for each nonlinear phase to extract those influential time slices. The proposed two-step analysis flowchart can analyze and extract quality-relevant information from both variable-wise and time-wise dimensions, which could enhance the effectiveness and efficiency for statistical regression. Feasibility of the proposed method is demonstrated by a numerical example and the fed-batch penicillin fermentation process

Engineering Interfacial Fast Ion Channels toward Highly Stable Zn Metal Batteries

The development of aqueous zinc-ion batteries (AZIBs) is hindered by dendrites and side reactions, such as interfacial byproducts, corrosion, and hydrogen evolution. The construction of an artificial interface protective layer on the surface of the zinc anode has been extensively researched due to its strong operability and potential for large-scale application. In this study, we have designed an organic hydrophobic hybrid inorganic intercalation composite coating to achieve stable Zn2+ plating/stripping. The hydrophobic poly(vinylidene fluoride) (PVDF) effectively prevents direct contact between free water and the zinc anode, thereby mitigating the risk of dendrite formation. Simultaneously, the inorganic layer of vanadium phosphate (VOPO4·2H2O) after the insertion of polyaniline (PA) establishes a robust ion channel for facilitating rapid transport of Zn2+, thus promoting uniform electric field distribution and reducing concentration polarization. As a result, the performance of the modified composite PVDF/PA-VOP@Zn anode exhibited significant enhancement compared with that of the bare zinc anode. The assembled symmetric cell exhibits an exceptionally prolonged lifespan of 3070 h at a current density of 1 mA cm–2, while the full battery employing KVO as the cathode demonstrates a remarkable capability to undergo 2000 cycles at 5 A g–1 with a capacity retention rate of 78.2%. This study offers valuable insights into the anodic modification strategy for AZIBs

Additional file 3 of Statistical modeling of gut microbiota for personalized health status monitoring

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Additional file 4 of Statistical modeling of gut microbiota for personalized health status monitoring

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Additional file 1 of Statistical modeling of gut microbiota for personalized health status monitoring

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Additional file 2 of Statistical modeling of gut microbiota for personalized health status monitoring

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