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The Global Factors Driving Common Inflation In ASEAN
Trinh,Pham T. T(Trinh,Pham T. T ),Nhan,Le P. A.(Nhan,Le P. A. ) People&Global Business Association 2023 Global Business and Finance Review Vol.28 No.4
Purpose: This study investigates the comovements of inflation across ASEAN countries and identifies the global factors driving the common inflation dynamics of the region. Design/methodology/approach: The study uses a two-step approach. The dynamic latent factor model is first employed to estimate the common inflation of the region in the period between 2000Q1 and 2022Q2. In the second step, a bound test approach to autoregressive distributed lag (ARDL) methodology is employed to estimate the model of common inflation, which is constructed based on the aggregate supply - aggregate demand (AS-AD) framework. Findings: The study finds a common factor of inflation across ASEAN countries. The analysis of variance decomposition indicates the significant role of common inflation in the variations of individual countries' inflation. World economic growth, oil price change, non-fuel commodity price change, and trade openness are the main drivers of ASEAN common inflation in both short and long terms. Research limitations/implications: The study focuses mainly on supply-side factors, although some demand-side factors are involved. Future studies should pay more concerns on the trade linkages among regional countries and the similarities in goals in the region. Originality/value: The study examines the common inflation component across ASEAN countries, which has not been sufficiently investigated. It also evaluates the drivers at the global level of common inflation, which has limited empirical evidence.
Assessment of ASPECTS from CT Scans using Deep Learning
Trinh Le Ba Khanh,백병현,김슬기,DOLUU NGOC,윤웅,박일우,양형정 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.5
Alberta Stroke Program Early Computed Tomographic Scoring (ASPECTS) is a 10-point CT-scan score designed to quantify early ischemic changes in patients with acute ischemic stroke. However, an assessment of ASPECTS remains a challenge for neuroradiologists in stroke centers. The purpose of this study is to develop an automated ASPECTS scoring system that provides decision-making support by utilizing binary classification with three-dimensional convolutional neural network to analyze CT images. The proposed method consists of three main steps: slice filtering, contrast enhancement and image classification. The experiments show that the obtained results are very promising.
A NOTE ON OPTIMIZATION WITH MORSE POLYNOMIALS
Le, Cong-Trinh Korean Mathematical Society 2018 대한수학회논문집 Vol.33 No.2
In this paper we prove that the gradient ideal of a Morse polynomial is radical. This gives a generic class of polynomials whose gradient ideals are radical. As a consequence we reclaim a previous result that the unconstrained polynomial optimization problem for Morse polynomials has a finite convergence.
Le Trinh 한국환경영향평가학회 2009 환경영향평가 Vol.18 No.6
Methodology and application of Strategic Environmental Assessment (SEA) for policies, plans, and programs are still new approach in Vietnam. With a support from Vietnam-Swedish Project (SEMLA) and Ministry of Natural Resources and Environment (MONRE), SEA for the Tonkin Gulf Coastal Economic Belt Development Plan was conducted in 2008. Lessons obtained from this SEA may contribute to improving methods and practicing SEAs for regional development. The main lessons summarized in this paper are: (i) close cooperation between the planning and environmental teams from the beginning phase of a master plan; (ii) SEA should focus not only on impacts to the natural environment but also on main issues of socio-economic aspects; (iii) approaches and methods used in SEA should be appropriate to properly predict the impacts at regional-levels and cumulative impacts; (iv) a good SEA study may be achieved when detailed data on the environment and socio-economy of the study area are available and have active engagement of stakeholders, including project affected sectors, ecologists, planners, policy makers, etc. This paper is useful for whom, those work in SEA in regional development.
ON WIELANDT-MIRSKY'S CONJECTURE FOR MATRIX POLYNOMIALS
Le, Cong-Trinh Korean Mathematical Society 2019 대한수학회보 Vol.56 No.5
In matrix analysis, the Wielandt-Mirsky conjecture states that $$dist({\sigma}(A),{\sigma}(B)){\leq}{\parallel}A-B{\parallel}$$ for any normal matrices $A,B{\in}{\mathbb{C}}^{n{\times}n}$ and any operator norm ${\parallel}{\cdot}{\parallel}$ on $C^{n{\times}n}$. Here dist(${\sigma}(A),{\sigma}(B)$) denotes the optimal matching distance between the spectra of the matrices A and B. It was proved by A. J. Holbrook (1992) that this conjecture is false in general. However it is true for the Frobenius distance and the Frobenius norm (the Hoffman-Wielandt inequality). The main aim of this paper is to study the Hoffman-Wielandt inequality and some weaker versions of the Wielandt-Mirsky conjecture for matrix polynomials.
On Wielandt-Mirsky's conjecture for matrix polynomials
Cong-Trinh Le 대한수학회 2019 대한수학회보 Vol.56 No.5
In matrix analysis, the \textit{Wielandt-Mirsky conjecture} states that $$ \dist(\sigma(A), \sigma(B)) \leq \|A-B\| $$ for any normal matrices $ A, B \in \mathbb C^{n\times n}$ and any operator norm $\|\cdot \|$ on $C^{n\times n}$. Here $\dist(\sigma(A), \sigma(B))$ denotes the optimal matching distance between the spectra of the matrices $A$ and $ B$. It was proved by A.~J.~Holbrook (1992) that this conjecture is \textit{false } in general. However it is true for the Frobenius distance and the Frobenius norm (the \textit{Hoffman-Wielandt inequality}). The main aim of this paper is to study the Hoffman-Wielandt inequality and some weaker versions of the Wielandt-Mirsky conjecture for matrix polynomials.