ADAPTABILITY OF VIETNAMESE SMEs TOWARD OUTSOURCING TREND

This article is to determine the adaptability of Vietnamese SMEs (small and toward international outsourcing trend. Organizations in developed countries usually find some less developed countries within which they may outsourceoperations. Outsourcing has become an effective good way for companies to increase profits by reducing production costs. This is attractive to less developed and developing countries as it encourages economic growth. However, to become an attractive destination of outsourcers, these developing countries need to possess high level human resources, attractive policies and business climate in conjunction with excellent infrastructure but low operation costs. Vietnamese SMEs only focus on labor-based outsourcing services which can bring about much lower benefits than aknowledge based services. A survey was done to get the viewpoints of Vietnamese SMEs’ managers about outsourcing requirements. After that we use the zero-sum method to determine which factors Vietnamese SMEs’ managers think the outsourcers should consider the most important when seeking outsource destination. Beside, we also base on background knowledge to understand Vietnamese SMEs’ entrepreneurship basing on this aspect. The result shows that Vietnamese SMEs think costs, especially labor costs, operation costs and administration costs are most important elements encourage outsourcers choose an outsourcing place

Epidemiology of facial fractures: Incidence, prevalence and years lived with disability estimates from the Global Burden of Disease 2017 study

Background: The Global Burden of Disease Study (GBD) has historically produced estimates of causes of injury such as falls but not the resulting types of injuries that occur. The objective of this study was to estimate the global incidence, prevalence and years lived with disability (YLDs) due to facial fractures and to estimate the leading injurious causes of facial fracture. Methods: We obtained results from GBD 2017. First, the study estimated the incidence from each injury cause (eg, falls), and then the proportion of each cause that would result in facial fracture being the most disabling injury. Incidence, prevalence and YLDs of facial fractures are then calculated across causes. Results: Globally, in 2017, there were 7 538 663 (95% uncertainty interval 6 116 489 to 9 4

New perspective on the convergence to a global solution of finite-sum optimization

Deep neural networks have shown great success in many machine learning tasks. Their training is challenging since the loss surface of the network architecture is generally non-convex, or even non-smooth. We propose a reformulation of the minimization problem allowing for a new recursive algorithmic framework. By using bounded style assumptions, we prove convergence to an \epsilon-(global) minimum using O(1/\epsilon^3) gradient computations. Our theoretical foundation motivates further study, implementation, and optimization of the new algorithmic framework and further investigation of its non-standard bounded style assumptions

A Novel Method for Multispectral Image Classification by Using Social Spider Optimization Algorithm Integrated to Fuzzy C-Mean Clustering

In remote sensing, Fuzzy C-Means clustering (FCM) is a robust method in determining membership grades of a pixel belonging to 1 or more classes. This paper proposes a novel approach by using the social spider optimization (SSO) algorithm in solving the search for optimal cluster centers in FCM. Hanoi, the capital of Vietnam, was chosen as a case study because of its spatial complexity. Multispectral satellite datasets of Landsat 8, Sentinel 2A and SPOT 7 were used. The experiment started with the segmentation process, followed by an examination of the model, then the results were compared with several conventional clustering methods. For accuracy assessment, the FCM minimizing objective functions, user and producer accuracies and overall accuracy were used. The results showed that SSO significantly improved the performance of FCM and outperformed the benchmarked classifiers or other common optimization algorithms. It could be concluded that the model was successfully deployed in the study area and could be suggested as an alternative solution for urban pattern detection. In a broader sense, classification methods will be enriched with the active and fast-growing contribution of nature-inspired algorithms