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Real-time model correction using Kalman filter for Raman-controlled cell culture processes

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Chinese Journal of Chemical Engineering 2024年第6期70卷 251-260页

作者： Xiaoxiao dong Zhuohong He Xu yan dong Gao Jingyu Jiao yan Sun Haibin Wang Haibin Qu Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Hisun Biopharmaceutical Co.Ltd. Hangzhou 311404China

Raman spectroscopy has found extensive use in monitoring and controlling cell culture *** this context,the prediction accuracy of Raman-based models is of paramount ***,models established with data from manually fed-batch cultures often exhibit poor performance in Raman-controlled ***,there is a need for effective methods to rectify these *** objective of this paper is to investigate the efficacy of Kalman filter(KF)algorithm in correcting Raman-based models during cell ***,partial least squares(PLS)models for different components were constructed using data from manually fed-batch cultures,and the predictive performance of these models was ***,various correction methods including the PLS-KF-KF method proposed in this study were employed to refine the PLS ***,a case study involving the auto-control of glucose concentration demonstrated the application of optimal model correction *** results indicated that the original PLS models exhibited differential performance between manually fed-batch cultures and Raman-controlled *** glucose,the root mean square error of prediction(RMSEP)of manually fed-batch culture and Raman-controlled culture was 0.23 and 0.40 g·L^(-1).With the implementation of model correction methods,there was a significant improvement in model performance within Raman-controlled *** RMSEP for glucose from updating-PLS,KF-PLS,and PLS-KF-KF was 0.38,0.36 and 0.17 g·L^(-1),***,the proposed PLS-KF-KF model correction method was found to be more effective and stable,playing a vital role in the automated nutrient feeding of cell cultures.

关键词： Raman spectroscopy Model correction Algorithm Model-predictive control Bioprocess

Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： Hui-Wen Pang Han-Qing Wang Yi-Tian Xiao yan Jin Yun-Hu Lu Yong-dong Fan zhen Nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network ***, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records

Antenna Enhanced Infrared Photoinduced Force Imaging in Aqueous Environment with Super-Resolution and Hypersensitivity

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CCS Chemistry 2022年第8期4卷 2738-2747页

作者： Jian Li Jie Pang zhen-dong yan Junghoon Jahng Jin Li William Morrison Jing Liang Qing-Ying Zhang Xing-Hua Xia State Key Laboratory of Analytical Chemistry for Life Science School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023 College of Science Nanjing Forestry UniversityNanjing 210037 Center for Nanocharacterization Korea Research Institute of Standards and ScienceDaejeon 34113 Molecular Vista Inc. San JoseCA 95119

Tip-enhanced infrared(IR)spectra and imaging have been widely used in cutting-edge studies for the in-depth understanding of the composition,structure,and function of interfaces at the ***,molecular monolayer sensitivity has only been demonstrated at solid/gas *** an aqueous environment,reduced sensitivity limits the practical applications of tip-enhanced IR ***,we present an approach to hypersensitive nanoscale IR spectra and imaging in an aqueous environment with a combination of photoinduced force(PiF)microscopy and resonant antennas.

关键词： photoinduced force microscopy aqueous environment infrared nanospectroscopy near-field imaging antenna

Electromagnetic characteristic analysis and design of a linear motor used for ultra-high-speed EMS maglev train

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Science China(Technological Sciences) 2024年第6期67卷 1957-1973页

作者： GAO Han SHI TingNa GAO XinMai LEI yanXiao yan dong GUO Liyan yan yan College of Electrical Engineering Zhejiang UniversityHangzhou310027China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou311107China State Key Laboratory of High-speed Maglev Transportation Technology Qingdao266100China CRRC Qingdao Sifang Co.Ltd. Qingdao266111China

The operating speed of the commercial electromagnetic suspension(EMS)maglev train has been over 430 km/h,making it the fastest means of land *** the increasing demands of people traveling,it is necessary to further improve the operating speed of maglev *** to examine whether the existing EMS system can meet the requirements of ultra-highspeed operation(more than 600 km/h),the electromagnetic characteristics of an EMS linear motor under the operating speed of 600–1000 km/h fed by a square-wave voltage supply is investigated in this ***,an electromagnetic field model of the EMS system under the square-wave voltage supply is established to investigate its electromagnetic performance,e.g.,the characteristics of phase current,the magnetic flux density,and the electromagnetic ***,the relationship between the harmonic components of the air-gap magnetic flux density and electromagnetic force is investigated using the two-dimensional fast Fourier transform(2D-FFT)to reveal the mechanism of electromagnetic force ***,to address the issues of excessive armature current density and significant electromagnetic force ripple,the linear motor is re-designed by enlarging the stator slot area and reshaping the mover's main magnetic ***,the Taguchi method is used to further improve the electromagnetic characteristics of the linear electric ***,the effectiveness of the proposed optimal design is validated by the finite-element analysis(FEA)based co-simulation.

关键词： ultra-high-speed maglev transportation electromagnetic suspension(EMS) linear motor electromagnetic force ripple suppression

Subarachnoid disseminative hemangiopericytoma of the spinal cord

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Chinese Medical Journal 2010年第11期123卷 1485-1488页

作者： LIN Guo-zhong WANG zhen-yu LI zhen-dong ZHONG yan-feng WANG Lei-ming Department of Neurosurgery Peking University Third HospitalPeking University Beijing 100191 China

Hemangiopericytomas （HPCs） originating from central nervous system were increasingly reportedrecently. Intravertebral HPCs are preclomlnanuy eplaural. Primary intradural HPCs of spinal cord are rare. Little subarach... 详细信息

关键词： hemangiopericytoma cervical spinal cord subarachnoid disseminateion

Recent progress in diagnostic imaging and therapeutics of osteosarcoma based on multifunctional nanoparticles

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Science China Chemistry 2024年第9期67卷 2864-2889页

作者： Xueke yan Danmin Lin Dingyuan yan dong Wang Huifang Su Department of Orthopaedic Surgery The First Affiliated Hospital of Zhengzhou University Center for AIE Research College of Materials Science and Engineering Shenzhen University

Osteosarcoma is one of the most common primary bone malignancies, mainly occurring in children and adolescents. Traditional diagnosis imaging methods for osteosarcoma contain X-ray, computed tomography and magnetic resonance imaging, and traditional therapy protocols are surgical resection and chemotherapy. However, these strategies are complicated and *** imaging methods, despite their maturity, have drawbacks that prevent them from showing more details. What is more, the prognosis for patients with osteosarcoma remains unsatisfactory due to side effects of chemotherapy, as well as incomplete surgical removal of the tumor. To compensate for the shortcomings of traditional imaging and treatment strategies for osteosarcoma, various types of nanoparticles have been designed and synthesized to selectively target osteosarcoma cells without toxic side effects on healthy organs. At the same time, these nanoparticle-based technologies can integrate the imaging and treatment of osteosarcoma. This review summarizes the application of nanotechnology in the imaging and treatment of osteosarcoma in recent years, and finally discusses the challenges and development prospects, aiming to provide ideas for future research.

关键词： osteosarcoma nanotechnology imaging diagnosis therapy

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Phase modulation of nickel-tin alloys in regulating electrocatalytic nitrogen reduction properties

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Rare Metals 2024年第6期43卷 2851-2858页

作者： Lin Wang Hang-Ning Liu Xin Meng Chang-Hui Sun Hai-dong Liu Liang-Yu Gong zhen-Hua yan Jie Wang College of Chemistry and Pharmaceutical Sciences Qingdao Agricultural UniversityQingdao 266109China Department of Chemistry-Angstrom Laboratory Uppsala University75121UppsalaSweden Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education) College of ChemistryNankai UniversityTianjin 300071China

Electrocatalytic nitrogen reduction reaction(NRR)is one of the attractive methods for ammonia(NH_(3))production at ambient conditions,but the catalytic performance largely depends on the physical properties of the ***,Ni-Sn alloy nanoparticles with well-controlled physical properties have been synthesized via a simple two-step method,which are applied as efficient electrocatalysts for the NRR.

关键词： alloys alloy nickel

Miniaturized, Wide Stopband Filter Based on Shielded Capacitively Loaded SIW Resonators

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Chinese Journal of Electronics 2024年第2期33卷 456-462页

作者： yan zhenG Hanyu TIAN Yuandan dong University of Electronic Science and Technology of China (UESTC)

Based on the full-mode capacitively loaded substrate integrated waveguide（SIW） resonator and the miniaturized shielded half-mode capacitively loaded SIW（S-HMCSIW） cavities, a novel compact high-performance filter is proposed. The footprint of the half-mode SIW（HMSIW） is further reduced due to the application of the capacitive-loading technique. By applying cross coupling, the proposed SIW filter's transmission zero enhances the stopband rejection and shows excellent selectivity. For the bandpass filter, the measured |S21| and |S11| are better than 1.09 d B and-14 d B, respectively. And a 3-d B fractional bandwidth（FBW） of 9.14–10.76 GHz（FBW=16.2%）is also observed. The filter achieves a wide stopband with a-20 d B out-of-band rejection up to 2.69f0（f0= 10 GHz）,with a size of 0.39λg× 0.51λgonly. Good agreement between measurement and simulation is obtained.

关键词： Band-pass filters Wireless communication Couplings Resonator filters Microwave theory and techniques Filtering theory Passband

Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

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Journal of Electronic Science and Technology 2024年第1期22卷 42-52页

作者： yan Liang Song Chen Xin dong Tu Liu School of Computer Engineering Chengdu Technological UniversityChengdu611730China HAN Networks Corporation Limited Beijing100094China

The fingerprinting-based approach using the wireless local area network(WLAN)is widely used for indoor ***,the construction of the fingerprint database is quite *** when the position of the access point(AP)or wall changes,updating the fingerprint database in real-time is *** appropriate indoor localization approach,which has a low implementation cost,excellent real-time performance,and high localization accuracy and fully considers complex indoor environment factors,is preferred in location-based services(LBSs)*** this paper,we proposed a fine-grained grid computing(FGGC)model to achieve decimeter-level localization *** points(RPs)are generated in the grid by the FGGC ***,the received signal strength(RSS)values at each RP are calculated with the attenuation factors,such as the frequency band,three-dimensional propagation distance,and walls in complex *** a result,the fingerprint database can be established automatically without manual measurement,and the efficiency and cost that the FGGC model takes for the fingerprint database are superior to previous *** proposed indoor localization approach,which estimates the position step by step from the approximate grid location to the fine-grained location,can achieve higher real-time performance and localization accuracy *** mean error of the proposed model is 0.36 m,far lower than that of previous ***,the proposed model is feasible to improve the efficiency and accuracy of Wi-Fi indoor *** also shows high-accuracy performance with a fast running speed even under a large-size *** results indicate that the proposed method can also be suitable for precise marketing,indoor navigation,and emergency rescue.

关键词： Fine-grained grid computing (FGGC) Indoor localization Path loss Random forest Reference points(RPs)