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Resonance-driven ion transport and selectivity in prokaryotic ion channels

Physical Review E 2019年第6期100卷 062410-062410页

作者： Ronald L. Westra Department of Data Science and Knowledge Engineering Faculty of Science and Engineering Maastricht University Maastricht The Netherlands

Ion channels exhibit a remarkably high accuracy in selecting uniquely its associated type of ion. The mechanisms behind ion selectivity are not well understood. Current explanations build mainly on molecular biology and bioinformatics. Here we propose a simple physical model for ion selectivity based on the driven damped harmonic oscillator (DDHO). The driving force for this oscillator is provided by self-organizing harmonic turbulent structures in the dehydrating ionic flow through the ion channel, namely, oscillating pressure waves in one dimension, and toroidal vortices in two and three dimensions. Density fluctuations caused by these turbulences efficiently transmit their energy to aqua ions that resonate with the driving frequency. Consequently, these release their hydration shell and exit the ion channel as free ions. Existing modeling frameworks do not express the required complex spatiotemporal dynamics, hence we introduce a macroscopic continuum model for ionic dehydration and transport, based on the hydrodynamics of a dissipative ionic flow through an ion channel, subject to electrostatic and amphiphilic interactions. This model combines three classical physical fields: Navier-Stokes equations from hydrodynamics, Gauss's law from Maxwell theory, and the convection-diffusion equation from continuum physics. Numerical experiments with mixtures of chemical species of ions in various degrees of hydration indeed reveal the emergence of strong oscillations in the ionic flow that are instrumental in the efficient dehydration and cause a strong ionic jet into the cell. As such, they provide a powerful engine for the DDHO mechanism. Theoretical predictions of the modeling framework match significantly with empirical patch-clamp data. The DDHO standard response curve defines a unique resonance frequency that depends on the mass and charge of the ion. In this way, the driving oscillations act as a selection mechanism that filters out one specific ion. Application of

关键词： Control & applications of chaos Self-organization

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Smart water quality analysis using IoT and big data analytics: A review 2

Smart water quality analysis using IoT and big data analytic...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Hemdan, Ezz El-Din Essa, Youssef M. El-Sayed, Ayman Shouman, Marwa Moustafa, Abdullah N. Menofia University Computer Science and Engineering Department Faculty of Electronic Engineering Menouf Egypt Principle Data and Knowledge. Bayer Berlin Germany

ISBN: (纸本)9781665418423

In recent times, water quality monitoring, observing, and testing have become a significant research study with the advancement on the Internet of Things, and Big data analytics research ideas. The relationship between water demand and supply is very crucial for every country and is likewise a complex challenge to satisfy this requirement around the world. Water is compulsory for human survival being on the earth. Therefore, for survival, the preservation and taking care of the existing water resource are also equally substantial. Moreover, for a healthier society, access to clean and safe water resources is also imperative. To recognize the water quality effects and provide an automated water quality mentoring and a testing system can support in guaranteeing the safety of the water. This paper presents a study on water quality analysis using IoT and Big data analytics. This can help in developing an agile environment that can handle the massive flow of water big data generated by the smart sensors spread everywhere around us. © 2021 IEEE.

关键词： data Analytics

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Discrepancies between reality and expectation: Can Adaptive Hypermedia meet the expectations of teachers?

Discrepancies between reality and expectation: Can Adaptive ...

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IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

作者： Monthienvichienchai, Rachada Conlan, Owen Seyedarabi, Faezeh London Knowledge Lab. Institute of Education University of London United Kingdom Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland

ISBN: (纸本)9781627483308

The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, while many of these adaptations are grounded in sound pedagogical theories, it is unclear how effective such adaptations are in supporting everyday teaching and learning processes that take place in the classroom today. This paper presents a study that explores what teachers in the UK, who have been named by their colleagues as implementing best-practice in the classroom, expect from an eLearning platform that can adapt to the individual needs of their students. The result of the study shows that there are currently some discrepancies between the teachers' expectations and what adaptive hypermedia currently offers. The paper then concludes by describing how these discrepancies can be addressed in future AH systems.

关键词： Students

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Decision trees for instance transfer 5th

Decision trees for instance transfer

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5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016

作者： Zhou, Shuang Smirnov, Evgueni Schoenmakers, Gijs Peeters, Ralf Department of Data Science and Knowledge Engineering Maastricht University P.O. Box 616 Maastricht6200 MD Netherlands

ISBN: (纸本)9783319333946

Instance-transfer learning has emerged as a promising learning framework to boost performance of predictive models for a target domain by exploiting data from source domains. The success of the framework depends on the relevance of the source data to the target data. This paper proposes a decision-tree approach for instance transfer when the source and target data are relevant with respect to a strict subset of input features. Experimental results on real-world data sets demonstrate that the proposed approach outperforms existing instance-transfer approaches when the source and target data are partially related. © Springer International Publishing Switzerland 2016.

关键词： Decision trees

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Assessing the Influence Probability between Objects: A Random Walker Approach

Assessing the Influence Probability between Objects: A Rando...

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IEEE Symposium on Computational Intelligence and data Mining

作者： Li, Pei Li, Zhixu He, Jun Du, Xiaoyong Liu, Hongyan Key Labs of Data Engineering and Knowledge Engineering MOE China and School of Information Renmin University of China Beijing China Department of Management Science and Engineering Tsinghua University Beijing China

ISBN: (纸本)9781424427659

Influence between objects needs to be assessed in many applications. Lots of measures have been proposed, but a domain-independent method is still expected. In this paper, we give a probabilistic definition of influence based on the random walker model on graphs. Two approaches, linear systems method and Basic InfRank algorithm, are shown and return equal results, but Basic InfRank is more efficient by iterative computation. Two variants on bipartite graphs and star graphs are discussed. Experiments show InfRank algorithms have good accuracy, fast convergent rate and high performance.

关键词： Linear systems

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Can museum exhibits support personalised learning in collaborative classroom activities by using augmented reality?

Can museum exhibits support personalised learning in collabo...

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IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

ISBN: (纸本)9781627483308

This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collaborative and personalised learning activities by using augmented reality museum exhibits. The paper highlights the benefits that computer supported collaborative learning and computer supported personalised learning bring or promise to bring to the learner. A proposal is given for a study that will setup a common ground for these two approaches via a location-aware augmented reality museum display. The principal aim of the study is to investigate how the process of learning collaboratively is intertwined with personalised experience of visiting the museum display. Ultimately, the result of the study will provide a new understanding of visitor's experience of museum displays, not only within the context of the museum's location, but also within the classroom where the visit truly begins and finishes.

关键词： Augmented reality

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LODDO: Using linked open data description overlap to measure semantic relatedness between named entities

LODDO: Using linked open data description overlap to measure...

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Joint International Semantic Technology Conference, JIST 2011

作者： Zhou, Wenlei Wang, Haofen Chao, Jiansong Zhang, Weinan Yu, Yong APEX Data and Knowledge Management Lab. Department of Computer Science Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783642299223

Measuring semantic relatedness plays an important role in information retrieval and Natural Language Processing. However, little attention has been paid to measuring semantic relatedness between named entities, which is also very significant. As the existing knowledge based approaches have the entity coverage issue and the statistical based approaches have unreliable result to low frequent entities, we propose a more comprehensive approach by leveraging Linked Open data (LOD) to solve these problems. LOD consists of lots of data sources from different domains and provides rich a priori knowledge about the entities in the world. By exploiting the semantic associations in LOD, we propose a novel algorithm, called LODDO, to measure the semantic relatedness between named entities. The experimental results show the high performance and robustness of our approach. © 2012 Springer-Verlag.

关键词： knowledge based systems

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Image description mining and hierarchical clustering on data records using HR-tree

Image description mining and hierarchical clustering on data...

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8th Asia-Pacific Web Conference, APWeb 2006: Frontiers of WWW Research and Development

作者： Zhang, Cong-Le Huang, Sheng Xue, Gui-Rong Yu, Yong Apex Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai JiaoTong University Shanghai 200030 China

ISBN: (纸本)3540311424

Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textual information around the image is used to represent the high-level features of the image. We argue that such "flat" representation can not describe images well. In this paper, Hierarchical Representation (HR) and HR-Tree are proposed for image description. Salient phrases in HR-Tree are further to distinguish this image with others sharing the same ancestor concepts. First, we design a method to extract the salient phrases for the images in data records. Then HR-Trees are built using these phrases. Finally, new hierarchical clustering algorithm based on HR-Tree is proposed for users' browsing conveniently. We demonstrate some HR-Trees and clustering results in experimental section. These results illustrate the advantages of our methods. © Springer-Verlag Berlin Heidelberg 2006.

关键词： data mining

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Emergent semantics from folksonomies: A quantitative study

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Journal on data Semantics VI - Special Issue on Emergent Semantics

作者： Zhang, Lei Wu, Xian Yu, Yong APEX Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai JiaoTong University Shanghai 200030 China

ISBN: (纸本)3540367128

Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology provides a shared and machine understandable semantics for web resources that agents and applications can utilize. This top-down approach (in the sense that an ontology is defined first on top of existing web resources and then used later to markup them), however, has a high barrier to entry and is difficult to scale up. In this paper, we investigate using a bottom-up approach for semantically annotating web resources as supported by the now widely popular social bookmarks services on the web where users can annotate and categorize web resources using "tags" freely choosen by the user without any pre-existing global semantic model. This kind of informal social categories is coined as "folksonomies". We show how global semantics can be statistically inferred from the folksonomies to semantically annotate the web resources. The global semantic model also disambiguate the tags and group synonymous tags together. Finally, we show that there indeed are hierarchical relations among the emerged concepts in the folksonomy and it is plausible to further identify them if we use more advanced probabilistic models. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Semantics

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On the relationship between classical and computable topology 14

On the relationship between classical and computable topolog...

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14th International Conference on Computability and Complexity in Analysis, CCA 2017

作者： Collins, Pieter Department of Data Science and Knowledge Engineering Maastricht University Bouillonstraat 8-10 Postbus 616 6200MD Netherlands

In this talk, we will look at some important concepts in classical topology, and discuss their computable counterparts. The main goals are to combine many important results which are scattered throughout the literature, and to -nd the most natural de-nitions for computable versions of classical properties. It turns out that many notions in computable topology coincide more closely with the corresponding notion in limit/sequential spaces than the classical topological notion. Further, for the class of spaces admitting an admissible representation, in many cases the de-nitions coincide;an important case are the various topologies on the open sets, including the Scott topology. © 2017 14th International Conference on Computability and Complexity in Analysis, CCA 2017 - Proceedings. All rights reserved.

关键词： Topology

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