204 research outputs found

    Data for: Exploring the Simultaneous Biothiols-differentiating Detecting Feature of a BODIPY Chemosensor with DFT/TDDFT

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    The orignal research data for "Exploring the Simultaneous Biothiols-differentiating Detecting Feature of a BODIPY Chemosensor with DFT/TDDFT" by Tianxin Bai and Tianshu Ch

    Entropy data for the 3D core-collapse supernova simulation of a 40 solar mass progenitor done by Fornax.

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    Entropy data (unit: kb per baryon) for the 3D core-collapse supernova simulation of a 40 solar mass progenitor done by Fornax. The entropies are saved as Numpy arrays with shape (1024, 128, 256) corresponding to the (r, theta, phi) directions. The grid information can be read from grid.h5. The file read.py shows a demo on how to read the grid.h5 file. The demo prints R, theta, and phi of the grid as 1D arrays. Use numpy.meshgrid(R, theta, phi, indexing="ij") to create the 3D meshgrid. The "*.xmf" files provided make it simple to be read by the open-source visualization engine Paraview (https://www.paraview.org/). Open the ".xmf" files from Paraview, and the variables will be automatically imported. In real simulations, they are written every millisecond. However, the data in this repository are saved every 10 milliseconds because otherwise it takes too long to upload. Contact the corresponding author to acquire other data

    Vertical Specialization with Heterogeneous Entrepreneurs: Can Trade Promote Industrialization of Developing Countries?

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    This paper explores the theoretical link between trade liberalization and industrial development in developing economies. A two-country, three-good, and three-factor computable general equilibrium model is developed, which features a capital-intensive intermediate good, and a special factor of production, the entrepreneurial skill. The numerical results suggest that with free trade, the developing economy can import the cheaper capital-intensive intermediate good and largely expand its manufacture sector. Moreover, the developing economy can export its manufactured product to the developed economy. Unlike the conventional static trade models that predict that developing economies will de-industrialize with free trade, this theory helps to understand the rapid industrial expansion in newly industrialized economies while liberalizing their international trade.Chu, Tianshu. (2001). Vertical Specialization with Heterogeneous Entrepreneurs: Can Trade Promote Industrialization of Developing Countries?. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/55877

    Data for: Zwitterions of the Excited 4-([2,2’-bipyridine]-4-yl) Phenol Photoacid Molecules: Formation and Fluorescence

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    DFT and TDDFT calculation data including geometry, energy, spectra

    Individual Differences and Category Learning Performance and Strategy - A scoping review protocol

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    This registration is the protocol of a scoping review under the working titled "Individual Differences and Category Learning Performance and Strategy - A scoping review". This report is not an update of any previous review. Author Contacts: Tianshu Zhu (corresponding author): [email protected] John Paul Minda, PhD: [email protected] Western Interdisciplinary Research Building, 1151 Richmond Street, London, ON N6A 3K7, Room 5158. Both authors contributed to the search strategy and analytic plan of this review. Any deviations from the protocol will be documented and discussed in the supplementary material of the review. Important deviations will be discussed in the review itself. This review is supported by the University of Western Ontario, which provides subscriptions to academic database and to Covidence. This institution has played no role in developing this protocol. This registration was dveloped using the PRISMA-ScR checklist

    Global Production Networks and Industrial Upgrading in China: The Case in Electronics Contract Manufacturing.

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    The paper analyzes the networks of U.S. and Taiwan based electronics contract manufacturers in South China, today the world´s most important location for low-cost mass production in the electronics industry. Based on extensive empirical research, the paper traces the production sites, the organization of manufacturing, and the workforce policies of contract manufacturers in the region, and discusses perspectives and limits of industrial upgrading, especially with regard to the role of labor. In theoretical terms, the author attempts to integrate an analysis of "global flagship networks" with concepts of industrial sociology.

    Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches

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    Mathematical models play an important role in performance prediction and optimization of ultrafiltration (UF) membranes fabricated via dry/wet phase inversion in an efficient and economical manner. In this study, a systematic approach, namely, a supervised, learning-based experimental data analytics framework, is developed to model and optimize the flux and rejection rate of poly(vinyl chloride) (PVC) and polyvinyl butyral (PVB) blend UF membranes. Four supervised learning (SL) approaches, namely, the multiple additive regression tree (MART), the neural network (NN), linear regression (LR), and the support vector machine (SVM), are employed in a rigorous fashion. The dependent variables representing membrane performance response with regard to independent variables representing fabrication conditions are systematically analyzed. By comparing the predicting indicators of the four SL methods, the NN model is found to be superior to the other SL models with training and testing R-squared values as high as 0.8897 and 0.6344, respectively, for the rejection rate, and 0.9175 and 0.8093, respectively, for the flux. The optimal combination of processing parameters and the most favorable flux and rejection rate for PVC/PVB ultrafiltration membranes are further predicted by the NN model and verified by experiments. We hope the approach is able to shed light on how to systematically analyze multi-objective optimization issues for fabrication conditions to obtain the desired ultrafiltration membrane performance based on complex experimental data characteristics

    Data for: Exploring the Simultaneous Biothiols-differentiating Detecting Feature of a BODIPY Chemosensor with DFT/TDDFT

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    The orignal research data for "Exploring the Simultaneous Biothiols-differentiating Detecting Feature of a BODIPY Chemosensor with DFT/TDDFT" by Tianxin Bai and Tianshu Ch

    data

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    Sample map and map generalization result</p
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