28,525 research outputs found
q-Differential equations for q-classical polynomials and q-Jacobi-Stirling numbers
No full textWe introduce, characterise and provide a combinatorial interpretation for the so-called q-Jacobi–Stirling numbers.
This study is motivated by their key role in the (reciprocal) expansion of any power of a second order
q-differential operator having the q-classical polynomials as eigenfunctions in terms of other even order operators,
which we explicitly construct in this work. The results here obtained can be viewed as the q-version of
those given by Everitt et al. and by the first author, whilst the combinatorics of this new set of numbers is a
q-version of the Jacobi–Stirling numbers given by Gelineau and the second author
A Q-learning based multi-strategy integrated artificial bee colony algorithm with application in unmanned vehicle path planning
No full textArtificial bee colony (ABC) is a prominent algorithm that offers great exploration capabilities among various meta-heuristic algorithms. However, its monotonous and one-dimensional search strategy limits its searching performance in the solving process. Thus, to address this issue, a Q-learning based multi-strategy integrated ABC algorithm (QMABC) is proposed. In the QMABC, multiple search strategies are proposed to utilize different individual experiences and search approaches for solution updates. Then, Q-learning is employed for strategy selection. In comparison to previous studies, this paper introduces more effective state and action configurations within the framework of Q-learning. To evaluate the performance of the QMABC, CEC 2017 benchmark functions are adopted to compare it to different meta-heuristic algorithms including ABC based and non-ABC based algorithms. Moreover, applications in path planning are implemented to further verify the effectiveness of the QMABC. Overall, it should be highlighted that the proposed QMABC demonstrates superiority in both numerical and practical experiments.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Discrete Mathematics and Optimizatio
Realizing the NPD Benefits of the Firm Innovation Strategy: The Role of Supply Management and Supply Chain Transformational Leadership
No full textFirm innovation strategy (FIS) is crucial for new product development (NPD) performance. Few studies have revealed how theFIS that recognizes the importance of supply chain (SC) resources can improve NPD performance through SC management. Thisstudy emphasizes the mediating role of supply management, including innovativeness in supply management and firm-supplierrelationship. We argue that supply chain transformational leadership (SCTL) moderates the relationship between FIS and supplymanagement. Using data from 232 Chinese manufacturing firms and applying structural equation modeling and regressionanalysis, we tested the hypotheses. The results show that innovativeness in supply management and firm-supplier relationshipmediate the relationship between the FIS and NPD performance. SCTL positively moderates the influence of FIS on supply man-agement. These findings contributes to NPD outcomes. This study offers theoretical and empirical insights into SC management
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Network Q
No full textA press release from Network Q announcing that they will begin featuring Brian McNaught, a gay columnist and author, for a monthly segment
Network Q
No full textA press release from Network Q announcing that they will begin featuring Brian McNaught, a gay columnist and author, for a monthly segment
Tobin's Q and Financial Policy
No full textRecent research in macroeconomics has emphasized the importance of linking the financial and real sectors and the need for working with optimizing models. Tobin’s Q model of investment would appear to provide a framework that can satisfy these two criteria. In contrast to the original presentation of the Q model, the formal development has not recognized that the firm actively participates in a number of financial markets; in this broader context, we show that Q is likely to be an uninformative and possibly misleading signal for investment expenditures . We then endeavor to turn this negative theoretical result to positive advantage in resolving a number of empirical problems with Q models, but the modifications dictated by the theory receive little support from the data.
Landslide susceptibility in the Belt and Road Countries: continental step of a multi-scale approach
No full textThe Belt and Road Initiative is a collaboration project launched by the Chinese Government to connect more than 65 countries all over the word by developing infrastructures, facilities, and support collaborations among involved Countries. The Silk Road Disaster Risk Reduction is a sub-project of the Belt and Road Initiative focused on mitigation and prevention of natural risks in the involved countries. In this context, this work presents a method to approach landslide susceptibility zoning on a continental scale that takes into account the limitations due to the completeness of landslide inventories and the scale and data quality of causal factors. A first attempt to produce a pixel-based statistical susceptibility map is described. All the data and software used in this work are open and open source. The landslide susceptibility zoning has been carried out in south-Asia using the NASA-COOLR landslide dataset through the Weight of Evidence method and it has been evaluated and validated by means of the ROC analysis. The results reveal a good prediction capacity and highlights that slope, relative relief and annual precipitation are the causative factors that play a major role in predisposing slope instability in the study area. Based on them, the method will be applied to the rest of the Belt and Road Countries
Three-dimensional autofocusing visual feedback for automated rare cells sorting in fluorescence microscopy
No full textSorting rare cells from heterogeneous mixtures makes a significant contribution to biological research and medical treatment. However, the performances of traditional methods are limited due to the time-consuming preparation, poor purity, and recovery rate. In this paper, we proposed a cell screening method based on the automated microrobotic aspirate-and-place strategy under fluorescence microscopy. A fast autofocusing visual feedback (FAVF) method is introduced for precise and real-time three-dimensional (3D) location. In the context of this method, the scalable correlation coefficient (SCC) matching is presented for planar locating cells with regions of interest (ROI) created for autofocusing. When the overlap occurs, target cells are separated by a segmentation algorithm. To meet the shallow depth of field (DOF) limitation of the microscope, the improved multiple depth from defocus (MDFD) algorithm is used for depth detection, taking 850 ms a time with an accuracy rate of 96.79%. The neighborhood search based algorithm is applied for the tracking of the micropipette. Finally, experiments of screening NIH/3T3 (mouse embryonic fibroblast) cells verifies the feasibility and validity of this method with an average speed of 5 cells/min, 95% purity, and 80% recovery rate. Moreover, such versatile functions as cell counting and injection, for example, could be achieved by this expandable system
An attempt to separate anthropic and natural fire signals in an archaeological context-The case of the Mousterian site Grotta Reali (Rocchetta a Volturno Molise, Central Italy).
No full textThis paper presents an image analysis method
for automated quantification of charcoal total area,
focusing on the charcoal fractions less than 160 μm
observed on 14 pollen slides from Grotta Reali samples.
Four fire signals were recorded with 4 high values in the
microcharcoal concentration curve. On the basis of modern
microcharcoal study, mean length/width ratio of the
microcharcoal particles was applied in an archeological
context as an indicator of vegetal type (wood, grass or
leaves). Therefore, the 4 fire signals were separated into
two types: high concentration with high length/width ratio,
and high concentration with low length/width ratio. Two
fire signals might be interpreted as anthropic fire based on
hearth or combustion areas, as inferred from archeological
remains
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