COPING WITH THE LAND GAME: A NETWORK ANALYSIS OF COMMUNITY RESILIENCE IN HUE’S PERI-URBAN AREAS, VIETNAM

Abstract: In Vietnam, urban expansion and its effects have appeared as a contentious issue among journalists, civil society organizations, academics, and NGOs in recent years. Along with the rapid urbanization, farmers in peri-urban areas are increasingly confronted with a loss of land as well as a change in livelihood strategies as the consequence of government policies. Using data from household surveys in the peri-urban village of Hue – Dạ Lê Chánh, the author attempts to answer the question “How do mobility practices reflect community resilience in the face of developmental processes of change?” The result indicates that as a peri-urban area, the proximity to Hue City, offers many employment opportunities. However, a focus on mobility shows that social and family networks are utilised for extended movement throughout the country and beyond. Mobility is shown to be a vital feature in the formation and maintenance of livelihood trajectories, allowing community access to human, information, financial and trade networks. In the face of these different demands on land in Vietnam, what is the future for a locality such as Dạ Lê Chánh? Caught in a web of future trade-offs, we find it foolhardy to speak of sustainable development when the appropriate line of development is unclear. However, within the push and pull of the land game, the voices of local residents to formulate their own futures will be lost. Therefore, government policy must find a way to acknowledge such voices whilst taking the best sustainable steps forward.Keywords: livelihoods, mobility, peri-urban areas, Hue, Vietna

Direct and ultrafast probing of quantum many-body interactions through coherent two-dimensional spectroscopy: From weak- to strong-interaction regimes

Interactions between particles in quantum many-body systems play a crucial role in determining the electric, magnetic, optical, and thermal properties of the system. The recent progress in the laser-pulse technique has enabled the manipulations and measurements of physical properties on ultrafast timescales. Here we propose a method for the direct and ultrafast probing of quantum many-body interaction through coherent two-dimensional (2D) spectroscopy. Using a two-band fermionic Hubbard model for the minimum two-site lattice system, we find that the 2D spectrum of a noninteracting system contains only diagonal peaks; the interparticle interaction manifests itself in the emergence of off-diagonal peaks in the 2D spectrum before all the peaks coalesce into a single diagonal peak as the system approaches the strongly interacting limit. The evolution of the 2D spectrum as a function of the time delay between the second and third laser pulses can provide important information on the ultrafast time variation of the interaction

Multitasking Correlation Network for Depth Information Reconstruction

In this paper, we propose a novel multi-tasking network for stereo matching. The proposed network is trained to approximate similarity functions in statistics and linear algebra such as correlation coefficient, distance correlation and cosine similarity. By doing this, the proposed method decreases the amount of time needed to calculate the disparity map by using CNN's ability to calculate multiple pairs of image patches at the same time. We then compare the execution time and overall accuracy between the traditional method using functions and our method. The results show the model's ability to mimic the traditional method's performance while taking considerably less time to perform the task

Determinants of banking crisis in developing countries

This paper identifies determinants associated with probability of banking crisis in developing countries. By using data sample of more than 80 developing countries around the world from 1974 to 2002, the results from our mutivariate logit economitric model indicate that systemic banking crisis tend to erupt as macro-conditions are weak, especially when economies experience low GDP growth and high inflation. Moreover, also find that the banking sector becomes sensitive to the crisis as the credit growth booming. Besides, other financial macro variables such as high real interest rate and exchange rate are also confirmed to be associated with risk of crisis

Transfer AdaBoost SVM for Link Prediction in Newly Signed Social Networks using Explicit and PNR Features

AbstractIn signed social network, the user-generated content and interactions have overtaken the web. Questions of whom and what to trust has become increasingly important. We must have methods which predict the signs of links in the social network to solve this problem. We study signed social networks with positive links (friendship, fan, like, etc) and negative links (opposition, anti-fan, dislike, etc). Specifically, we focus how to effectively predict positive and negative links in newly signed social networks. With SVM model, the small amount of edge sign information in newly signed network is not adequate to train a good classifier. In this paper, we introduce an effective solution to this problem. We present a novel transfer learning framework is called Transfer AdaBoost with SVM (TAS) which extends boosting-based learning algorithms and incorporates properly designed RBFSVM (SVM with the RBF kernel) component classifiers. With our framework, we use explicit topological features and Positive Negative Ratio (PNR) features which are based on decision-making theory. Experimental results on three networks (Epinions, Slashdot and Wiki) demonstrate our method that can improve the prediction accuracy by 40% over baseline methods. Additionally, our method has faster performance time

Study on Wash-out of Asphalt Mixture Caused by Repeated Heating and Cooling Immersion Test

Stripping generates within the asphalt pavements due to continuous effect of moisture has been one of the concerns by the road authorities worldwide. Without a proper treatment, it could cause potholes and lower the bearing capacity of asphalt pavements. With regard to this, it is well known that the bipolar anti-stripping agent is effective to prevent the stripping due to its electrochemical bonding characteristics between aggregate and asphalt. Wash-out is a dynamic water action that could strip the asphalt mortar from pavement surfacing. Such distress spotted on many roads, whereby, granite aggregates are normally used as the main material in asphalt mixtures. In this study, the experimental work is focused on stripping phenomenon caused by multiple moisture conditioning cycles at 80 °C, and a newly developed evaluation protocol using a Repeated Heating and Cooling Immersion test is adopt-ed. The Wash-out, which is closely associated with stripping, is studied to evaluate the resistance of asphalt pavement against moisture damage. This study is a laboratory scale evaluation and the phenomenon in the field is not yet adequately considered. The repeated heating and cooling immersion procedure is an accelerated strip-ping conditioning without applying an external force. It is clarified that the resistance to the Wash-out of asphalt mixture is improved with the presence of the bi-polar anti-stripping agent, known as Tough Fix Hyper at the rate of 0.15% or more

Study on Wash-out of Asphalt Mixture Caused by Repeated Heating and Cooling Immersion Test

Stripping generates within the asphalt pavements due to continuous effect of moisture has been one of the concerns by the road authorities worldwide. Without a proper treatment, it could cause potholes and lower the bearing capacity of asphalt pavements. With regard to this, it is well known that the bipolar anti-stripping agent is effective to prevent the stripping due to its electrochemical bonding characteristics between aggregate and asphalt. Wash-out is a dynamic water action that could strip the asphalt mortar from pavement surfacing. Such distress spotted on many roads, whereby, granite aggregates are normally used as the main material in asphalt mixtures. In this study, the experimental work is focused on stripping phenomenon caused by multiple moisture conditioning cycles at 80 °C, and a newly developed evaluation protocol using a Repeated Heating and Cooling Immersion test is adopt-ed. The Wash-out, which is closely associated with stripping, is studied to evaluate the resistance of asphalt pavement against moisture damage. This study is a laboratory scale evaluation and the phenomenon in the field is not yet adequately considered. The repeated heating and cooling immersion procedure is an accelerated strip-ping conditioning without applying an external force. It is clarified that the resistance to the Wash-out of asphalt mixture is improved with the presence of the bi-polar anti-stripping agent, known as Tough Fix Hyper at the rate of 0.15% or more

An investigation of online teaching and lecturers' online teaching competence in Vietnam: A case study at universities of technology and education

The rapid digital transformation and the widespread influence of the COVID-19 pandemic have impacted higher education in Vietnam. This social setting fosters online teaching and lecturers’ online teaching competencies.  The aim of this study is to investigate online teaching competence at two universities of technology and education in Vietnam through a survey. Based on a review of the literature, an online teaching competence scale for lecturers was developed and its validity and reliability were evaluated using exploratory component analysis and Cronbach's alpha coefficients with data from 311 lecturers at two public universities of technology and education. The online teaching competency scale for lecturers consists of 25 items organized into five component competencies: “Understanding student learning”, “online session administration”, “digital content development and learning facilitation”, “technology” and “online learning outcomes assessment”. With the exception of “technology”, the remaining component competencies were identified as good. Not only online teaching modes but also online teaching activities and productions were also deployed to maintain learning activities especially during the COVID-19 pandemic at two universities. Recommendations for developing lecturers' online teaching competence were also considered