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Journal of Systems Science and Systems Engineering 2007年第2期16卷 129-165页

作者： James M. TIEN daniel BERG Department of Decision Sciences and Engineering Systems Rensselaer Polytechnic Institute Troy New York USA

Innovation in the services area - especially in the electronic services （e-services） domain - can be systematically developed by first considering the strategic drivers and foci, then the tactical principles and enablers, and finally the operational decision attributes, all of which constitute a process or calculus of services innovation. More specifically, there are four customer drivers （i.e., collaboration, customization, integration and adaptation）, three business foci （i.e., creation-focused, solution-focused and competition-focused）, six business principles （i.e., reconstruct market boundaries, focus on the big picture not numbers, reach beyond existing demand, get strategic sequence right, overcome organizational hurdles and build execution into strategy）, eight technical enablers （i.e., software algorithms, automation, telecommunication, collaboration, standardization, customization, organization, and globalization）, and six attributes of decision informatics （i.e., decision-driven, information-based, real-time, continuously-adaptive, customer-centric and computationally-intensive）. It should be noted that the four customer drivers are all directed at empowering the individual - that is, at recognizing that the individual can, respectively, contribute in a collaborative situation, receive customized or personalized attention, access an integrated system or process, and obtain adaptive real-time or just-in-time input. The developed process or calculus serves to identify the potential white spaces or blue oceans for innovation. In addition to expanding on current innovations in services and related experiences, white spaces are identified for possible future innovations; they include those that can mitigate the unforeseen consequences or abuses of earlier innovations, safeguard our rights to privacy, protect us from the always-on, interconnected world, provide us with an authoritative search engine, and generate a GDP metric that can adequately measure the gro

关键词： Services innovation decision informatics software algorithms automation globalization collaboration customization integration adaptation standardization telecommunication organization business principles

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Forecasting complex group behavior via multiple plan recognition

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Frontiers of Computer Science 2012年第1期6卷 102-110页

作者： Xiaochen LI Wenji MAO daniel ZENG State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Group behavior forecasting is an emergent re- search and application field in social computing. Most of the existing group behavior forecasting methods have heavily re- lied on structured data which is usually hard to obtain. To ease the heavy reliance on structured data, in this paper, we pro- pose a computational approach based on the recognition of multiple plans/intentions underlying group behavior. We fur- ther conduct human experiment to empirically evaluate the effectiveness of our proposed approach.

关键词： group behavior forecasting multiple planrecognition graph search

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Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy

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Journal of Computer Science & Technology 2008年第1期23卷 77-102页

作者： daniel Kunkle 张冬晖 Gene Cooperman College of Computer and Information Science Northeastern UniversityBoston

This paper presents some new algorithms to efficiently mine max frequent generalized itemsets （g-itemsets） and essential generalized association rules （g-rules）. These are compact and general representations for all frequent patterns and all strong association rules in the generalized environment. Our results fill an important gap among algorithms for frequent patterns and association rules by combining two concepts. First, generalized itemsets employ a taxonomy of items, rather than a flat list of items. This produces more natural frequent itemsets and associations such as （meat, milk） instead of （beef, milk）, （chicken, milk）, etc. Second, compact representations of frequent itemsets and strong rules, whose result size is exponentially smaller, can solve a standard dilemma in mining patterns： with small threshold values for support and confidence, the user is overwhelmed by the extraordinary number of identified patterns and associations; but with large threshold values, some interesting patterns and associations fail to be identified. Our algorithms can also expand those max frequent g-itemsets and essential g-rules into the much larger set of ordinary frequent g-itemsets and strong g-rules. While that expansion is not recommended in most practical cases, we do so in order to present a comparison with existing algorithms that only handle ordinary frequent g-itemsets. In this case, the new algorithm is shown to be thousands, and in some cases millions, of the time faster than previous algorithms. Further, the new algorithm succeeds in analyzing deeper taxonomies, with the depths of seven or more. Experimental results for previous algorithms limited themselves to taxonomies with depth at most three or four. In each of the two problems, a straightforward lattice-based approach is briefly discussed and then a classificationbased algorithm is developed. In particular, the two classification-based algorithms are MFGI_class for mining max frequent g-itemsets and EGR_cl

关键词： generalized association rules frequent generalized itemsets redundancy avoidance

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Nanosphere molecularly imprinted polymers doped with gold nanoparticles for high selectivity molecular sensors

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Nano Research 2017年第3期10卷 1056-1063页

作者： Tehila Shahar Tama Sicron daniel Mandler Institute of Chemistry The Hebrew University of Jerusalem Jerusalem 9190401 Israel

We report the first attempt of using molecularly imprinted polymers （MIPs） in the shape of nanoparticles that were doped with gold nanoparticles （AuNPs） for surface enhanced Raman scattering （SERS）-based sensing of molecular spedes. Specifically, AuNPs doped molecularly imprinted nano-spheres （AuNPs@nanoMIPs） were synthesized by one-pot precipitation polymerization using Sudan IV as the template for the SERS sensing. The AuNPs@nanoMIPs were characterized by various modes of scanning transmission electron microscopy （STEM） that showed the exact location of the AuNPs inside the MIP particles. The effects of Au concentration and solution stirring on the shape and the polydispersity of the particles were studied. Significant enhancement of the Raman signals was observed only when the MIP particles were doped with the AuNPs. The SERS signal improved significantly with increase in the Au concentration inside the AuNPs@nanoMIPs. Selectivity measurements of the Sudan IV imprinted AuNPs@nanoMIPs carried out with different Sudan derivatives showed high selectivity of the AuNPs-doped MIP particles.

关键词： molecularly imprintedpolymers surface enhanced Ramanscattering (SERS) gold nanoparticles Sudan IV doping

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Fundamental error in tree-based machine learning model selection for reservoir characterisation

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 214-224页

作者： daniel Asante Otchere Centre of Excellence in Subsurface Seismic Imaging and Hydrocarbon Prediction Universiti Teknologi PETRONAS32610Seri IskandarPerak Darul RidzuanMalaysia

Over the past two decades,machine learning techniques have been extensively used in predicting reservoir *** this approach has significantly contributed to the industry,selecting an appropriate model is still challenging for most *** solely on statistical metrics to select the best model for a particular problem may not always be the most effective *** study encourages researchers to incorporate data visualization in their analysis and model selection *** evaluate the suitability of different models in predicting horizontal permeability in the Volve field,wireline logs were used to train Extra-Trees,Ridge,Bagging,and XGBoost *** Random Forest feature selection technique was applied to select the relevant logs as inputs for the *** on statistical metrics,the Extra-Trees model achieved the highest test accuracy of 0.996,RMSE of 19.54 mD,and MAE of 3.18 mD,with XGBoost coming in ***,when the results were visualised,it was discovered that the XGBoost model was more suitable for the problem being *** XGBoost model was a better predictor within the sandstone interval,while the Extra-Trees model was more appropriate in non-sandstone *** this study aims to predict permeability in the reservoir interval,the XGBoost model is the most *** contrasting results demonstrate the importance of incorporating data visualisation techniques as an evaluation *** the heterogeneity of the subsurface,relying solely on statistical metrics may not be sufficient to determine which model is best suited for a particular problem.

关键词： Data visualisation Permeability Machine learning Statistical metrics

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Numerical study on the use of soft material walls to enhance seismic performance of an existing tunnel

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Underground Space 2024年第2期15卷 90-112页

作者： Qiangqiang Sun Menghao Hou daniel Dias Institute of Geotechnical Engineering College of Civil Engineering and ArchitectureHebei UniversityBaoding 071002China Laboratory 3SR CNRS UMR 5521Grenoble Alpes UniversityGrenoble 38000France

Seismic risk is one of the biggest challenges for tunnel safety,and several mitigation techniques have been proposed to enhance the seismic performance of existing *** paper aims to investigate the effectiveness of an innovative approach for reducing the seismic risk of existing tunnels by using soft material walls(SMW)symmetrically installed in the surrounding *** investigation is performed with a two-dimensional numerical model and the effectiveness of SMW in mitigating the seismic-induced lining forces is quantitatively evaluated by reduction *** influences of nonlinear properties of soil,SMW and tunnel lining on the isolation effectiveness are also *** parametric studies show that the computed reduction ratio is strongly affected by the modulus ratio between the SMW and the soil,the wall geometric parameter,and the flexibility *** is more effective for the thick and soft isolation walls that are inserted near a stiff tunnel in the soft *** tunnel seismic response can be reduced by up to 50%for the scenarios ***,the parametric study identifies an optimum normalized depth of SMW and recommends a relation between the maximum isolation effect and the flexibility ***,simple charts are suggested in this work for estimating the isolation effect in specific conditions of the soil and the *** these lines,the results of this work may be used in the seismic retrofitting of an existing tunnel,aiding the preliminary design of the isolation walls.

关键词： Tunnels Earthquakes Seismic analysis Isolation walls Soft material

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Reflections on the current state of spatial statistics education in the United States: 2014

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Geo-Spatial Information Science 2014年第4期17卷 229-235页

作者： daniel A.GRIFFITH School of Economic Political and Policy SciencesUniversity of Texas at Dallas800 W.Campbell RoadGR31Richardson TX 75080USA

This paper surveys the current state of teaching spatial statistics in the United States(US),with commentary about the future teaching of such a *** begins with a historical overview,and proposes what constitutes suitable content for a contemporary spatial statistics *** notes that contemporary university-level spatial statistics courses are mostly taught across myriad units,including biology/ecology,climatology,economics(as spatial econometrics),environmental studies,epidemiology/public health,forestry,geography,geosciences/earth sciences,geospatial information sciences,mathematics,quantitative social science,soil science,and *** discusses the diffusion of this course across the US,which began in the *** result it reports is a model spatial statistics course offering.

关键词： spatial statistics spatial statistics education spatial statistics courses the United States

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Editorial Prerogative and the Plant Genome

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Journal of Genetics and Genomics 2016年第5期43卷 229-232页

作者： daniel F.Voytas Department of Genetics Cell Biology & Development and Center for Genome EngineeringUniversity of Minnesota

In the coming decades,plant agriculture must produce the food needed to sustain the world＇s burgeoning *** challenge is made more daunting in light of a changing climate,scarcity of inputs such as water and fertilizer,and the need to grow more crops on increasingly marginal *** achieve food security,we will need to fully exploit plant genetics to develop new crop varieties that produce higher yields of healthier food.

关键词： agriculture fertilizer scarcity Genome breeding sustain exploit genetics editing template

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Recent Advances in Nutrient Sensing and Signaling

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Molecular Plant 2012年第6期5卷 1170-1172页

作者： daniel P.Schachtman Monsanto Company CC4N700 Chesterfield Pkwy WestChesterfieldMO 63017USA

Nutrient sensing and signaling is an important area of plant biological research because of the role of plant nutrition in crop production and the constraints that nutrient limita- tions put on plant growth and optimal yields. The increasing cost, the limited supplies, and the negative impacts of excess application of fertilizer on the environment have all led to more research into understanding how plants acquire, sense, and utilize nutrients. Approximately two and a half years ago, Molecular Plant published a special issue （March 2010） with a series of review articles and ori- ginal research papers on nutrient sensing and signaling. Many reviews have appeared and provide excellent sum- maries for research advances in this area （Ho and Tsay, 2010; Krouk et al., 2010a; Chiou and Lin, 2011; Gutierrez, 2012）. This highlight updates readers on some of the advances and emerging themes in this field of research since the special issue.

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Hermite-Discontinuous Galerkin Overset Grid Methods for the Scalar Wave Equation

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Communications on Applied Mathematics and Computation 2021年第3期3卷 391-418页

作者： Oleksii Beznosov daniel Appel Department of Mathematics and Statistics The University of New Mexico1 University of New MexicoMSC011115AlbuquerqueNM 87131Mexico Department of Applied Mathematics University of ColoradoUniversity of Colorado 526 UCBBoulderCO 80309USA

We present high order accurate numerical methods for the wave equation that combines efficient Hermite methods with geometrically flexible discontinuous Galerkin methods by using overset *** boundaries we use thin boundary fitted curvilinear grids and in the volume we use Cartesian grids so that the computational complexity of the solvers approaches a structured Cartesian Hermite *** many other overset methods we do not need to add artificial dissipation but we find that the built-in dissipation of the Hermite and discontinuous Galerkin methods is sufficient to maintain the *** numerical experiments we demonstrate the stability,accuracy,efficiency,and the applicability of the methods to forward and inverse problems.

关键词： Wave equation Overset grids High order Hermite methods Discontinuous Galerkin methods

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