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Microsystems & Nanoengineering 2022年第3期8卷 163-176页

作者： Elsbeth G.B.M.Bossink anke r.vollertsen Joshua T.Loessberg-Zahl Andries D.van der Meer Loe l.Segerink Mathieu Odijk BIOs Lab on a Chip Group MESA+instituteTechnical Medical CenterMax Planck Institute for Complex Fluid DynamicsUniversity of TwenteEnschedeThe Netherlands Applied Stem Cell Technologies Group Technical Medical CenterUniversity of TwenteEnschedeThe Netherlands

Integrated valves enable automated control in microfuidic systems,as they can be applied for mixing,pumping and compartmentalization *** automation would be highly valuable for applications in organ-on-chip(OoC)***,OoC systems typically have channel dimensions in the range of hundreds of micrometers,which is an order of magnitude larger than those of typical microfluidic *** most-used fabrication process for integrated,normally open polydimethylsiloxane(PDMS)valves requires a reflow photoresist that limits the achievable channel *** addition,the low stroke volumes of these valves make it challenging to achieve flow rates of microliters per minute,which are typically required in OoC ***,we present a mechanical'macrovalve'fabricated by multilayer soft lithography using micromilled direct *** demonstrate that these valves can close off rounded channels of up to 700μm high and 1000μm ***,we used these macrovalves to create a peristaltic pump with a pumping rate of up to 48μL/min and a mixing and metering device that can achieve the complete mixing of a volume of 6.4μL within only 17 *** initial cell culture experiment demonstrated that a device with integrated macrovalves is biocompatible and allows the cell culture of endothelial cells over multiple days under continuous perfusion and automated medium refreshment.

关键词： pumping mixer pump

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 713-732页

作者： Petr Opela Josef Walek Jaromír Kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of Sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree regression(DTr),and Gaussian Process regression(GPr)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPr method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior

Emerging potential of progranulin-dependent SorCS2 signaling in healthy and diseased nervous systems

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Neural regeneration research 2025年第9期20卷 2591-2593页

作者： Alena Salasova Anders Nykjær Danish research Institute of Translational Neuroscience DANDrITE-Nordic EMBL Partnership for Molecular Medicine and Centre of Excellence PROMEMODepartment of BiomedicineAarhus UniversityAarhusDenmark

The formation of the mammalian nervous system and its maturation into sensory,motor,cognitive,and behavioral circuits is a complex process that begins during early embryogenesis and lasts until young *** neurodevelopm... 详细信息

关键词： progr jointly CS2

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Feedback structure based entropy approach for multiple-model estimation

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Chinese Journal of Aeronautics 2013年第6期26卷 1506-1516页

作者： Shen-tu Han Xue anke Guo Yunfei State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Institution of Information and Control Hangzhou Dianzi University Institution of Information and Control Hangzhou Dianzi University

The variable-structure multiple-model（VSMM）approach,one of the multiple-model（MM）methods,is a popular and effective approach in handling problems with mode *** model sequence set adaptation（MSA）is the key to design a better ***,MSA methods in the literature have big room to improve both theoretically and *** this end,we propose a feedback structure based entropy approach that could fnd the model sequence sets with the smallest size under certain *** fltered data are fed back in real time and can be used by the minimum entropy（ME）based VSMM algorithms,i.e.,***,the full Markov chains are used to achieve optimal ***,the myopic method together with particle flter（PF）and the challenge match algorithm are also used to achieve sub-optimal solutions,a trade-off between practicability and *** numerical results show that the proposed algorithm provides not only refned model sets but also a good robustness margin and very high accuracy.

关键词： Feed back Maneuvering tracking Minimum entropy Model sequence set adaptation Multiple-model estimation

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The Great realignment： The Politics of Liberalization in Germany

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浙江大学学报（人文社会科学版） 2012年第3期42卷 97-110页

作者： anke Hassel Public Policy H ertie School of Governance 10117 Berlin Germany

Geometrical entropy approach for variable structure multiple-model estimation

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Chinese Journal of Aeronautics 2015年第4期28卷 1131-1146页

作者： Shen-tu Han Xue anke Peng Dongliang Institution of Information and Control Hangzhou Dianzi University

The variable structure multiple-model（VSMM） estimation approach, one of the multiple-model（MM） estimation approaches, is popular in handling state estimation problems with mode *** the VSMM algorithms, the model sequence set adaptation（MSA） plays a key *** MSA methods are challenged in both theory and practice for the target modes and the real observation error distributions are usually uncertain in *** this paper, a geometrical entropy（GE） measure is proposed so that the MSA is achieved on the minimum geometrical entropy（MGE） ***, the minimum geometrical entropy multiple-model（MGEMM） framework is proposed, and two suboptimal algorithms, the particle filter k-means minimum geometrical entropy multiple-model algorithm（PF-KMGEMM） as well as the particle filter adaptive minimum geometrical entropy multiple-model algorithm（PF-AMGEMM）, are established for practical *** proposed algorithms are tested in three groups of maneuvering target tracking scenarios with mode and observation error distribution *** simulations have demonstrated that compared to several existing algorithms, the MGE-based algorithms can achieve more robust and accurate estimation results when the real observation error is inconsistent with a priori.

关键词： Geometrical entropy Maneuvering target tracking Model sequence setadaptation Multiple-model estimation Particle filter

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Distributed H∞ filtering of nonlinear systems with random topology by an event-triggered protocol

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Science China(Information Sciences) 2021年第10期64卷 206-220页

作者： Yun CHEN Mengze ZHU renquan LU anke XUE Key Lab for IoT and Information Fusion Technology of Zhejiang Hangzhou Dianzi University School of Automation Guangdong University of Technology

Applying an event-triggered protocol, this paper proposes a distributed Hfilter design for nonlinear perturbed systems under fading measurements with random topology. Nonlinearities in this system obey the one-sided Lipschitz constraint, which embraces the conventional Lipschitz condition as a special *** sensor network allows random variations of the interconnection strengths between adjacent nodes, and the connection coefficient is determined as the product of a constant and a stochastic variable with a known probabilistic feature. To reduce the unnecessary data transmission and efficiently use the limited bandwidth,the transmissions are orchestrated by an event-triggered regulating strategy. A stochastic bounded real lemma is established for the resulting error dynamics. Based on the presented matrix decomposition, which removes the direct coupling between the statistical information of interconnection strengths and the filter gain, the distributed Hfilter gain can be explicitly expressed and easily solved. The usefulness of the theoretical method is demonstrated in a simulation study.

关键词： sensor network distributed $H_\infty$ filtering one-sided Lipschitz condition event-triggered protocol random topology

Separate basolateral and apical phosphatidylcholine secretion routes in intestinally differentiated tumor cells

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World Journal of Gastroenterology 2009年第46期15卷 5821-5826页

作者： Daniel Gotthardt Annika Braun anke Tietje Karl Heinz Weiss robert Ehehalt Wolfgang r Stremmel Department of Gastroenterology University Hospital Heidelberg

AIM:To investigate whether the secretion of phospha-tidylcholine(PC)in intestinal mucus occurs by apical secretion or via basolateral excretion and to determine its subsequent passage across the tight junctions to the apical ***:We addressed this question using the po-larized intestinally differentiated tumor cell line CaCo-2 grown on filters to confluence in Transwell culture *** released PC and sphingomyelin(Sph)from apical and basolateral media were analyzed by mass ***:The secreted PC species were identical in both compartments indicating the same intracellular origin of ***,PC secretion into the basolateral compart-ment was more effective,and the PC:Sph ratio in the ba-solateral compartment was signif icantly higher than that in the apical compartment(8.18 ± 1.84 vs 4.31 ± 1.22,P = 0.01).Both pathways were temperature sensitive and were unaltered in the presence of ***:The data demonstrate the PC secre-tion capacity of CaCo-2 cells and indicate two sepa-rated apical and basolateral release mechanisms.

关键词： CaCo-2 cells Epithelial cells Mass spectrometry Phosphatidylcholine Secretion Sphingomyelin

Product Variability of the ‘Cineole Cassette＇ Monoterpene Synthases of related Nicotiana Species

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Molecular Plant 2011年第6期4卷 965-984页

作者： anke Fahnrich Katrin Krause Birgit Piechulla University of rostock Institute for Biological Sciences Albert-Einstein-Str. 3 18059 Rostock Germany

Nicotiana species of the section Alatae characteristically emit the floral scent compounds of the ＇cineole cassette＇ comprising 1,8-cineole, limonene, myrcene, α-pinene, β-pinene, sabinene, and α-terpineol. We successfully isolated genes of Nicotiana alata and Nicotiana langsdorfii that encoded enzymes, which produced the characteristic monoter- penes of this ＇cineole cassette＇ with α-terpineol being most abundant in the volatile spectra. The amino acid sequences of both terpineol synthases were 99% identical. The enzymes cluster in a monophyletic branch together with the closely related cineole synthase of Nicotiana suaveolens and monoterpene synthase 1 of Solanum lycopersicum. The cyclization reactions （α-terpineol to 1,8-cineole） of the terpineol synthases of N. alata and N. langsdorfii were less efficient compared to the ＇cineole cassette＇ monoterpene synthases of Arabidopsis thaliana, N. suaveolens, Salvia fruticosa, Salvia officinalis, and Citrus unshiu. The terpineol synthases of IV. alata and N. langsdorfii were localized in pistils and in the adaxial and abaxial epidermis of the petals. The enzyme activities reached their maxima at the second day after anthesis when flowers were fully opened and the enzyme activity in N. alata was highest at the transition from day to night （diurnal rhythm）.

关键词： Nicotiana alata Nicotiana langsdorfii cineole cassette terpineol synthase multiproduct enzyme monoterpene synthase 1,8-cineole, α-terpineol.

A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 81-100页

作者： S.SAUrABH r.KIrAN D.SINGH r.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSDT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(Hr), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

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