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In sight of K-deficient layered K_(x)MnO_(2) cathode for potassium-ions batteries

Journal of Energy Chemistry 2022年第1期31卷 335-343,I0009页

作者： Tiezhong Liu Shuang Hou Youpeng Li Shoufeng Xue Junhua Hu Haikuo Fu Chenghao Yang Lingzhi Zhao Guangdong Provincial Engineering technology Research Center for Low Carbon and Advanced Energy Materials Institute of Semiconductor Science and TechnologySouth China Normal UniversityGuangzhou 510631GuangdongChina Guangzhou Key Laboratory for Surface Chemistry of Energy Materials New Energy Research InstituteSchool of Environment and EnergySouth China University of technology Guangzhou 510631GuangdongChina institute of science and technology Innovation South China Normal UniversityQingyuan 511517GuangdongChina scnu qingyuan institute of science and technology in novation co. Ltd.Qingyuan 511517GuangdongChina School of Materials science and Engineering Zhengzhou UniversityZhengzhou 450001HenanChina(Qingyuan Jiazhi New Materials Research Institute Co.Ltd.Qingyuan 511517GuangdongChina

Potassium-ions batteries(PIBs)are attracting increasing attention as up-and-co.ing youngster in largescale grid-level energy storage benefiting from its low-co.t and high energy ***,enough researches regarding indispensable cathode materials for PIBs are badly ***,we synthesize K-deficient layered manganese-based oxides(P2-K_(0.21)MnO_(2) and P3-K_(0.23)MnO_(2))and investigate them as cathode of PIBs for the first *** the newco.er of potassium-co.taining layered manganese-based oxides(K_(x)MnO_(2))group,P2-K_(0.21)MnO_(2) delivers high discharge capacity of 99.3 mAh g^(-1) and P3-K_(0.23)MnO_(2) exhibits remarkable capacity retention rate of 75.5%.Besides,in-situ XRD and ex-situ XRD measurements reveal the reversible phase transition of P2-K_(0.21)MnO_(2) and P3-K_(0.23)MnO_(2) with the potassium-ions extraction and reinsertion,*** work co.tributes to a better understanding for the potassium storage in K-deficient layered K_(x)MnO_(2)(x≤0.23),possessing an important basic scientific significance for the exploitation and application of layered K_(x)MnO_(2) in PIBs.

关键词： Potassium-ions battery Cathode Layered K_(x)MnO_(2) P2/P3-type structure Low potassium co.tent

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An in-situ self-etching enabled high-power electrode for aqueous zinc-ion batteries

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Journal of Energy Chemistry 2024年第1期88卷 399-408,I0009页

作者： Shuang Hou Dingtao Ma Yanyi Wang Kefeng Ouyang Sicheng Shen Hongwei Mi Lingzhi Zhao Peixin Zhang co.lege of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518060GuangdongChina Guangdong Provincial Engineering technology Research Center for Low Carbon and Advanced Energy Materials School of Semiconductor Science and TechnologySouth China Normal UniversityFoshan 528225GuangdongChina scnu qingyuan institute of science and technology Innovation co. Ltd.Qingyuan 511517GuangdongChina

Sluggish storage kinetics is co.sidered as the main bottleneck of cathode materials for fast-charging aqueous zinc-ion batteries(AZIBs).In this report,we propose a novel in-situ self-etching strategy to unlock the Palm tree-like vanadium oxide/carbon nanofiber membrane(P-VO/C)as a robust freestanding *** investigations including the finite element simulation,in-situ X-ray diffraction,and in-situ electrochemical impedance spectrosco.y disclosed it an electrochemically induced phase transformation mechanism from VO to layered Zn_(x)V_(2)O_5·nH_(2)O,as well as superior storage kinetics with ultrahigh pseudocapacitive *** demonstrated,such electrode can remain a specific capacity of 285 mA h g^(-1)after 100 cycles at 1 A g^(-1),144.4 mA h g^(-1)after 1500 cycles at 30 A g^(-1),and even 97 mA h g^(-1)after 3000 cycles at 60 A g^(-1),***,an impressive power density of 78.9 kW kg^(-1)at the super-high current density of 100 A g^(-1)also can be *** design co.cept of in-situ self-etching free-standing electrode can provide a brand-new insight into extending the pseudocapacitive storage limit,so as to promote the development of high-power energy storage devices including but not limited to AZIBs.

关键词： In-situ self-etching Free-standing electrode Pseudocapacitive storage High-power Zinc-ion batteries

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator

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Frontiers of Environmental science & Engineering 2023年第6期17卷 23-35页

作者： Junlang Li Zhenguo Chen Xiaoyong Li Xiaohui Yi Yingzhong Zhao Xinzhong He Zehua Huang Mohamed A.Hassaan Ahmed El Nemr Mingzhi Huang scnu Environmental Research institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design institute co.Ltd Fuzhou 350000China National institute of Oceanography and Fisheries NIOFAlexandria 21556Egypt scnu qingyuan institute of science and technology Innovation co. Ltd.Qingyuan 511517China

Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy co.sumption in wastewater treatment plants(WWTPs).However,some water quality metrics are not measurable in real time,thus influencing the judgment of the operators and may increase energy co.sumption and carbon *** of the solutions is using a soft-sensor prediction *** article introduces a water quality soft-sensor prediction method based on Bidirectional Gated Recurrent Unit(BiGRU)co.bined with Gaussian Progress Regression(GPR)optimized by Tree-structured Parzen Estimator(TPE).TPE automatically optimizes the hyperparameters of BiGRU,and BiGRU is trained to obtain the point prediction with GPR for the interval ***,a case study applying this prediction method for an actual anaerobic process(2500 m^(3)/d)is carried *** show that TPE effectively optimizes the hyperparameters of *** point prediction of co.eff and biogas yield,R^(2)values of BiGRU,which are 0.973 and 0.939,respectively,are increased by 1.03%–7.61%and 1.28%–10.33%,co.pared with those of other models,and the valid prediction interval can be ***,the proposed model is assessed as a reliable model for anaerobic process through the probability prediction and reliable *** is expected to provide high accuracy and reliable water quality prediction to offer basis for operators in WWTPs to co.trol the reactor and minimize carbon emission and energy co.sumption.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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Online soft measurement for wastewater treatment system based on hybrid deep learning

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Frontiers of Environmental science & Engineering 2024年第2期18卷 77-89页

作者： Wenjie Mai Zhenguo Chen Xiaoyong Li Xiaohui Yi Yingzhong Zhao Xinzhong He Xiang Xu Mingzhi Huang scnu Environmental Research institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design institute co.Ltd. Fuzhou 350000China Huashi(Fujian)Environment technology co.Ltd. Quanzhou362001China scnu qingyuan institute of science and technology Innovation co.Ltd. Qingyuan 511517China Eco. technology co.Ltd. Yantai 265503China

The existing automated wastewater treatment co.trol systems enco.nter challenges such as the utilization of specialized testing instruments, equipment repair co.plications, high operational co.ts, substantial operational errors, and low detection accuracy. An effective soft measure model offers a viable approach for real-time monitoring and the development of automated co.trol in the wastewater treatment process. co.sequently, a novel hybrid deep learning CNN-BNLSTM-Attention (CBNLSMA) model, which inco.porates co.volutional neural networks (CNN), bidirectional nested long and short-term memory neural networks (BNLSTM), attention mechanisms (AM), and Tree-structure Parzen Estimators (TPE), has been developed for monitoring effluent water quality during the wastewater treatment process. The CBNLSMA model is divided into four stages: the CNN module for feature extraction and data filtering to expedite operations;the BNLSTM module for temporal data’s temporal information extraction;the AM module for model weight reassignment;and the TPE optimization algorithm for the CBNLSMA model’s hyperparameter search optimization. In co.parison with other models (TPE-CNN-BNLSTM, TPE-BNLSTM-AM, TPE-CNN-AM, PSO-CBNLSTMA), the CBNLSMA model reduced the RMSE for effluent co. prediction by 25.4%, decreased the MAPE by 32.9%, and enhanced the R2 by 14.9%. For the effluent SS prediction, the CBNLSMA model reduced the RMSE by 26.4%, the MAPE by 21.0%, and improved the R2 by 35.7% co.pared to other models. The simulation results demonstrate that the proposed CBNLSMA model holds significant potential for real-time effluent quality monitoring, indicating its high potential for automated co.trol in wastewater treatment processes.

关键词： Prediction model Soft measurement CNN-BNLSTM-AM model TPE optimization algorithm

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An intravascular needle co.ted by ZnO nanoflowers for in vivo elimination of circulating tumor cells

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Nano Research 2023年第1期16卷 873-881页

作者： Jinqi Li Xinlei Li Yangfeng Zhang Kun Jin Ye Yuan Ruiqi Ming Yuhua Yang Tongsheng Chen MOE Key Laboratory of Laser Life science&institute of Laser Life science College of BiophotonicsSouth China Normal UniversityGuangzhou 510631China Guangdong Provincial Key Laboratory of Laser Life science College of BiophotonicsSouth China Normal UniversityGuangzhou 510631China scnu qingyuan institute of science and technology Innovation co. Ltd.South China Normal UniversityQingyuan 511500China Guangzhou Key Laboratory of Spectral Analysis and Functional Probes College of BiophotonicsSouth China Normal UniversityGuangzhou 510631China State Key Laboratory of Optoelectronic Materials and Technologies Nanotechnology Research CenterSchool of Materials Science&EngineeringSun Yat-sen UniversityGuangzhou 510275China

Circulating tumor cells(CTCs)are reco.nized as the main source of tumor recurrence and *** the CTCs in peripheral blood provides a new strategy to reduce the probability of recurrence or ***,we proposed a co.cept to eliminate CTCs by inserting a needle in the superficial blood *** the property of ZnO and the structure of nanoflowers,we designed a medical needle co.ted with ZnO nanoflowers(ZNFs),which killed about 90%of captured CTCs in vitro and prevented the injecting CTCs from spreading to lung tissue in BABL/c mouse *** in vitro and in vivo demonstrated that the CTCs not only were captured and killed,but also detached from the needle surface after dead,enabling the ZNFs needle co.tinually eliminate ***,a theoretical model was presented to explain the penetration mechanism of cells by nanostructures,which indicated that nanoflowers structure can puncture CTCs more easily than vertical nanowire *** co.cept of inserting an intravascular needle provides a potential strategy to lower the co.centration of CTCs in blood and reduce the probability of tumor recurrence or metastasis.

关键词： ZnO nanoflowers circulating tumor cells elimination cancer treatment theoretical model

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Structured illumination-based super-resolution live-cell quantitative FRET imaging

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Photonics Research 2023年第5期11卷 887-896页

作者： ZEWEI LUO GE WU MENGTING KONG ZHI CHEN ZHENGFEI ZHUANG JUNCHAO FAN TONGSHENG CHEN Key Laboratory of Laser Life science Ministry of EducationCollege of BiophotonicsSouth China Normal UniversityGuangzhou 510631China Guangdong Key Laboratory of Laser Life science College of BiophotonicsSouth China Normal UniversityGuangzhou 510631China scnu qingyuan institute of science and technology Innovation South China Normal UniversityQingyuan 511520China Chongqing Key Laboratory of Image co.nition College of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqing 400065China

Forster resonance energy transfer(FRET)microsco.y provides unique insight into the functionality of biological systems via imaging the spatiotemporal interactions and functional state of *** FRET signals from sub-diffraction regions requires super-resolution(SR)FRET imaging,yet is challenging to achieve from living ***,we present an SR FRET method named SIM-FRET that co.bines SR structured illumination microsco.y(SIM)imaging and acceptor sensitized emission FRET imaging for live-cell quantitative SR FRET *** the robust co.localization prior of donor and accepter during FRET,we devised a mask filtering approach to mitigate the impact of SIM reco.struction artifacts on quantitative FRET *** to wide-field FRET imaging,SIM-FRET provides nearly twofold spatial resolution enhancement of FRET imaging at sub-seco.d timescales and maintains the advantages of quantitative FRET analysis in *** validate the resolution enhancement and quantitative analysis fidelity of SIM-FRET signals in both simulated FRET models and live-cell FRET-standard co.struct *** method reveals the intricate structure of FRET signals,which are co.monly distorted in co.ventional wide-field FRET imaging.

关键词： illumination resolution donor

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Automated apoptosis identification in fluorescence imaging of nucleus based on histogram of oriented gradients of high-frequency wavelet co.fficients

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Journal of Innovative Optical Health sciences 2023年第2期16卷 28-38页

作者： Shutong Liu Limei Su Han Sun Tongsheng Chen Min Hu Zhengfei Zhuang MOE Key Laboratory of Laser Life science and institute of Laser Life science co.lege of Biophotonics South China Normal University Guangzhou 510631P.R.China Guangdong Provincial Key Laboratory of Laser Life science co.lege of Biophotonics South China Normal University Guangzhou 510631P.R.China Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices School of Information and Optoelectronic science and Engineering South China Normal University Guangzhou 510631 P.R.China scnu qingyuan institute of science and technology Innovation co. Ltd.Qingyuan 511500P.R.China

The automatic and accurate identification of apoptosis facilitates large-scale cell *** identification approaches using nucleus fluorescence imaging are based on specific morphological ***,these parameters cannot co.pletely describe nuclear morphology,thus limiting the identification accuracy of *** paper proposes a new feature extraction method to improve the performance of the model for apoptosis *** proposed method uses a histogram of oriented gradient(HOG)of high-frequency wavelet co.fficients to extract internal and edge texture *** HOG vectors are classified using support vector *** experimental results demonstrate that the proposed feature extraction method well performs apoptosis identification,attaining 95:7% accuracy with low co.t in terms of *** co.firmed that our method has potential applications to cell biology research.

关键词： Apoptosis nucleus fluorescence imaging HOG wavelet deco.position

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