Understanding Mainland Chinese tourists’ motivation and constraints of visiting Taiwan

China has been by far the fastest growing source market in recent years, and now is the biggest tourism source market in the world. Mainland Chinese travellers were permitted to directly visit Taiwan in 2008. Within a short period of time, the Mainland Chinese travel market has become the top source market for Taiwan’s tourism industry. However, limited attention has been paid to the travel behaviour of this significant market, such as why and why not Mainland Chinese travellers visit Taiwan. Using interviews, this study identified a list of motivation factors and travel constraint factors. Three themes, intrapersonal, interpersonal, and contextual factors, influenced Mainland Chinese tourists’ intention to visit Taiwan. Particularly, contextual factors, such as ‘the cross-strait relations’ between Mainland China and Taiwan, play a key role in influencing tourists’ visit intention. Like two sides of the same coin, ‘the cross-strait relations’ could be the facilitator to attract Mainland Chinese tourists or the inhibitor to stop Mainland Chinese visiting Taiwan

Bi-direction transmissible gate driver on array

Background In recent years, gate driver using amorphous silicon (a-Si) technology for the TFT-LCD has become the main stream due to the mature manufacturing, low-cost processing, and elimination of the gate driver ICs [1],[2]. However, it’s still three challenges of design the integrated gate driver by a-Si encounters which are the low field-effect mobility, low reliability issue under high voltage stress, and the lack of P-type transistor. Please click Additional Files below to see the full abstract

Effects of Quality of Financial Statements and CEO Turnover

The purpose of this study is to explore the effect of CEO turnover and CFO turnover on earnings management. In addition, Taiwan’s authorities will require listed companies to complete the establishment of audit committee replacing supervisors in 2022. Corporate governance is not an overnight phenomenon. It has been existing from a long time. It is only that the beginning of 21st century when colossal enterprises started to fall, government across globe started giving it due credit. The present paper is an attempt to trace the history of corporate governance. It starts with discussing various theories which led to the development of such an important concept and then dwells on various models in which economies employ corporate governance in their structure and finally the evolution of corporate governance across globe. The paper sheds light on important committees and reforms which have been the genesis of corporate governance across globe. It undertakes an extensive literature review on different aspects of corporate governance. Corporate governance is a concept which still debatable among experts in describing it. The purpose of this study is to explore how the implementation and principal problems of good corporate governance in the management of current limited liability company

Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks

Establishing open and general benchmarks has been a critical driving force behind the success of modern machine learning techniques. As machine learning is being applied to broader domains and tasks, there is a need to establish richer and more diverse benchmarks to better reflect the reality of the application scenarios. Graph learning is an emerging field of machine learning that urgently needs more and better benchmarks. To accommodate the need, we introduce Graph Learning Indexer (GLI), a benchmark curation platform for graph learning. In comparison to existing graph learning benchmark libraries, GLI highlights two novel design objectives. First, GLI is designed to incentivize \emph{dataset contributors}. In particular, we incorporate various measures to minimize the effort of contributing and maintaining a dataset, increase the usability of the contributed dataset, as well as encourage attributions to different contributors of the dataset. Second, GLI is designed to curate a knowledge base, instead of a plain collection, of benchmark datasets. We use multiple sources of meta information to augment the benchmark datasets with \emph{rich characteristics}, so that they can be easily selected and used in downstream research or development. The source code of GLI is available at \url{https://github.com/Graph-Learning-Benchmarks/gli}.Comment: Oral Presentation at LOG 202

Characteristics of virtual unipolar electrograms for detecting isthmus block during radiofrequency ablation of typical atrial flutter

AbstractObjectivesThe purpose of this study was to investigate the characteristics of the second component of local virtual unipolar electrograms recorded at the ablation line during coronary sinus (CS) pacing after radiofrequency ablation (RFA) of the cavotricuspid isthmus (CTI) for typical atrial flutter (AFL).BackgroundRadiofrequency ablation of the CTI can produce local double potentials at the ablation line. The second component of unipolar electrograms represents the approaching wavefront in the right atrium opposite the pacing site. We hypothesized that the morphologic characteristics of the second component of double potentials would be useful in detecting complete CTI block.MethodsRadiofrequency ablation of the CTI was performed in 52 patients (males = 37, females = 15, 62 ± 12 years) with typical AFL. The noncontact mapping system (Ensite 3000, Endocardial Solutions, St. Paul, Minnesota) was used to guide RFA. Virtual unipolar electrograms along the ablation line during CS pacing after RFA were analyzed. Complete or incomplete CTI block was confirmed by the activation sequence on the halo catheter and noncontact mapping.ResultsThree groups were classified after ablation. Group I (n = 37) had complete bidirectional CTI block. During CS pacing, the second component of unipolar electrograms showed an R or Rs pattern. Group II (n = 12) had incomplete CTI block. The second component of unipolar electrograms showed an rS pattern. Group III (n = 3) had complete CTI block with transcristal conduction. The second component of unipolar electrograms showed an rSR pattern.ConclusionsA predominant R-wave pattern in the second component of unipolar double potentials at the ablation line indicates complete CTI block, even in the presence of transcristal conduction

γ\gamma-SUP: A clustering algorithm for cryo-electron microscopy images of asymmetric particles

Cryo-electron microscopy (cryo-EM) has recently emerged as a powerful tool for obtaining three-dimensional (3D) structures of biological macromolecules in native states. A minimum cryo-EM image data set for deriving a meaningful reconstruction is comprised of thousands of randomly orientated projections of identical particles photographed with a small number of electrons. The computation of 3D structure from 2D projections requires clustering, which aims to enhance the signal to noise ratio in each view by grouping similarly oriented images. Nevertheless, the prevailing clustering techniques are often compromised by three characteristics of cryo-EM data: high noise content, high dimensionality and large number of clusters. Moreover, since clustering requires registering images of similar orientation into the same pixel coordinates by 2D alignment, it is desired that the clustering algorithm can label misaligned images as outliers. Herein, we introduce a clustering algorithm $\gamma$-SUP to model the data with a $q$-Gaussian mixture and adopt the minimum $\gamma$-divergence for estimation, and then use a self-updating procedure to obtain the numerical solution. We apply $\gamma$-SUP to the cryo-EM images of two benchmark macromolecules, RNA polymerase II and ribosome. In the former case, simulated images were chosen to decouple clustering from alignment to demonstrate $\gamma$-SUP is more robust to misalignment outliers than the existing clustering methods used in the cryo-EM community. In the latter case, the clustering of real cryo-EM data by our $\gamma$-SUP method eliminates noise in many views to reveal true structure features of ribosome at the projection level.Comment: Published in at http://dx.doi.org/10.1214/13-AOAS680 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Screening therapeutic EMT blocking agents in a three-dimensional microenvironment

Epithelial–mesenchymal transition (EMT) plays a critical role in the early stages of dissemination of carcinoma leading to metastatic tumors, which are responsible for over 90% of all cancer-related deaths. Current therapeutic regimens, however, have been ineffective in the cure of metastatic cancer, thus an urgent need exists to revisit existing protocols and to improve the efficacy of newly developed therapeutics. Strategies based on preventing EMT could potentially contribute to improving the outcome of advanced stage cancers. To achieve this goal new assays are needed to identify targeted drugs capable of interfering with EMT or to revert the mesenchymal-like phenotype of carcinoma to an epithelial-like state. Current assays are limited to examining the dispersion of carcinoma cells in isolation in conventional 2-dimensional (2D) microwell systems, an approach that fails to account for the 3-dimensional (3D) environment of the tumor or the essential interactions that occur with other nearby cell types in the tumor microenvironment. Here we present a microfluidic system that integrates tumor cell spheroids in a 3D hydrogel scaffold, in close co-culture with an endothelial monolayer. Drug candidates inhibiting receptor activation or signal transduction pathways implicated in EMT have been tested using dispersion of A549 lung adenocarcinoma cell spheroids as a metric of effectiveness. We demonstrate significant differences in response to drugs between 2D and 3D, and between monoculture and co-culture.Singapore. National Research Foundation (Singapore MIT Alliance for Research and Technology's BioSystems and Micromechanics Inter-Disciplinary Research programme)National University of Singapore (Cancer Science Institute)Singapore. Agency for Science, Technology and ResearchSingapore. Institute of Molecular and Cell Biology (IMCB core funding A*STAR

Screening therapeutic EMT blocking agents in a three-dimensional microenvironment

Epithelial–mesenchymal transition (EMT) plays a critical role in the early stages of dissemination of carcinoma leading to metastatic tumors, which are responsible for over 90% of all cancer-related deaths. Current therapeutic regimens, however, have been ineffective in the cure of metastatic cancer, thus an urgent need exists to revisit existing protocols and to improve the efficacy of newly developed therapeutics. Strategies based on preventing EMT could potentially contribute to improving the outcome of advanced stage cancers. To achieve this goal new assays are needed to identify targeted drugs capable of interfering with EMT or to revert the mesenchymal-like phenotype of carcinoma to an epithelial-like state. Current assays are limited to examining the dispersion of carcinoma cells in isolation in conventional 2-dimensional (2D) microwell systems, an approach that fails to account for the 3-dimensional (3D) environment of the tumor or the essential interactions that occur with other nearby cell types in the tumor microenvironment. Here we present a microfluidic system that integrates tumor cell spheroids in a 3D hydrogel scaffold, in close co-culture with an endothelial monolayer. Drug candidates inhibiting receptor activation or signal transduction pathways implicated in EMT have been tested using dispersion of A549 lung adenocarcinoma cell spheroids as a metric of effectiveness. We demonstrate significant differences in response to drugs between 2D and 3D, and between monoculture and co-culture.Singapore. National Research Foundation (Singapore MIT Alliance for Research and Technology's BioSystems and Micromechanics Inter-Disciplinary Research programme)National University of Singapore (Cancer Science Institute)Singapore. Agency for Science, Technology and ResearchSingapore. Institute of Molecular and Cell Biology (IMCB core funding A*STAR

Effect of Extraction Temperature on the Functional and Structural Properties of Mullet Scale Gelatin

The functional property is an important factor to measure the quality of fish gelatin, which directly relates to the practical application range and value of fish gelatin. In order to explore the effect of extraction temperature on the functional properties of mullet scale gelatin, this study used a hot water extraction method. Different temperatures (60, 70, 80, 90, 100 ℃) were examined to assess their impact on the surface morphology of fish scales, fish scale gelatin yield, and functional properties (foaming capacity, emulsifying activity, gel strength, gel temperature, and melting temperature). Furthermore, the structural characteristics of fish scale gelatin were investigated using SDS-PAGE, Fourier transform infrared spectroscopy, and scanning electron microscopy. The results showed that as the extraction temperature increased from 60 ℃ to 100 ℃, the damage to the surface of mullet scales became increasingly severe. The fish scale gelatin yield increased from 31.72% to 50.97%, foaming capacity improved from 23.33% to 73.33%, and emulsifying activity increased from 15.13 m2/g to 17.27 m2/g. However, gel strength, gel temperature, and melting temperature decreased from 677.82 g, 20.80 ℃, and 28.70 ℃ to 372.91 g, 15.80 ℃, and 23.90 ℃, respectively. Additionally, with the increase in extraction temperature, the characteristic bands of mullet scale gelatin α1, α2, and β chains on the electrophoresis pattern became increasingly blurred. The infrared spectroscopy results showed that the fish scale gelatin had characteristic absorption peaks (amide A, amide Ⅰ, amide Ⅱ, and amide Ⅲ), with the wavenumber of amide A first increasing and then decreasing. The scanning electron microscopy results showed that the tightness of the porous grid structure of the fish scale gelatin decreased. These findings provide a theoretical basis for the industrialization of mullet scale gelatin