Surface functionalised nano magnetic particles for waste water treatment: Removal of heavy metal

Master'sMASTER OF ENGINEERIN

The Impact of Digital Transformation in Higher Education: The Case Study from Vietnam

The education sector in general and higher education, in particular, has paid great attention to digital transformation into teaching. Digital transformation is not only a general development trend but also helps to change the traditional teaching method to a new active teaching method that helps learners to be active and creative when participating in the learning process. The traditional classroom model, which has existed for a long time, is gradually shifting to classrooms that apply information technology to teaching and learning to reduce lectures and transfer knowledge to develop the initiative, creativity, and capacity of students to learn. Create opportunities for learners to learn anytime, anywhere, learners can be active in the learning process, contributing to building a learning society. The article clarifies the impact of digital transformation on higher education in Vietnam. From there, offer an oriented solution to help digital transformation become an effective tool in higher education in Vietnam today

Studying livestock breeding wastewater treatment with bentonite adsorbent

The possibility of using adsorbents (bentonite, diatomite and kaolinite) for obtaining adsorptive materials effective in livestock breeding wastewater treatment has been assessed. It has been shown on the example of ions of ammonia (NH4) and phosphate (PO43) that particles of bentonite have relatively high adsorption capacity. The data about adsorption kinetics have been processed with the use of first and second-order kinetic models. It has been revealed that the second-order kinetic model described better adsorption of ammonia and phosphate from aqueous solutions by particles of bentonit

A discretized point-hyperplane incidence bound in Rd\mathbb{R}^d

Let $P$ be a $\delta$-separated $(\delta, s, C_P)$-set of points in $B(0, 1)\subset \mathbb{R}^d$ and $\Pi$ be a $\delta$-separated $(\delta, t, C_\Pi)$-set of hyperplanes intersecting $B(0, 1)$ in $\mathbb{R}^d$. Define $$I_{C\delta}(P, \Pi)=\#\{(p, \pi)\in P\times \Pi\colon p\in \pi(C\delta)\}.$$ Suppose that $s, t\ge \frac{d+1}{2}$, then we have $I_{C\delta}(P, \Pi)\lesssim \delta |P||\Pi|$. The main ingredient in our argument is a measure theoretic result due to Eswarathansan, Iosevich, and Taylor (2011) which was proved by using Sobolev bounds for generalized Radon transforms. Our result is essentially sharp, a construction will be provided and discussed in the last section.Comment: 14 page

Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media

Sentiment analysis has been emerging recently as one of the major natural language processing (NLP) tasks in many applications. Especially, as social media channels (e.g. social networks or forums) have become significant sources for brands to observe user opinions about their products, this task is thus increasingly crucial. However, when applied with real data obtained from social media, we notice that there is a high volume of short and informal messages posted by users on those channels. This kind of data makes the existing works suffer from many difficulties to handle, especially ones using deep learning approaches. In this paper, we propose an approach to handle this problem. This work is extended from our previous work, in which we proposed to combine the typical deep learning technique of Convolutional Neural Networks with domain knowledge. The combination is used for acquiring additional training data augmentation and a more reasonable loss function. In this work, we further improve our architecture by various substantial enhancements, including negation-based data augmentation, transfer learning for word embeddings, the combination of word-level embeddings and character-level embeddings, and using multitask learning technique for attaching domain knowledge rules in the learning process. Those enhancements, specifically aiming to handle short and informal messages, help us to enjoy significant improvement in performance once experimenting on real datasets.Comment: A Preprint of an article accepted for publication by Inderscience in IJCVR on September 201

Vietnam’s Accession to the World Trade Organization: Economic Projections to 2020

This study presents a set of assessments of the long term economic effects of Vietnam’s accession to the WTO. Generally speaking, our results indicate that Vietnam would benefit from accelerating its participation in more open multilateralism. However, it is also clear from our analysis that these benefits will remain modest in the absence of comprehensive and complementary domestic economic reforms. Passive external liberalization, even when coupled with determined domestic reform, is inferior to WTO participation combined with negotiated market access and other activist multilateral agreements. Finally, our analysis shows that capital insufficiency is a very serious constraint on Vietnamese economic growth and diversification. Capital market reform can play an essential role in dynamic and sustained economic development for the country.Vietnam, WTO, Trade

ĐÁNH GIÁ TIỀM NĂNG CỦA CÂY CHANH LƯƠNG (Leptocarpus disjunctus Mast.) TỪ TỰ NHIÊN Ở MIỀN TRUNG, VIỆT NAM LÀM THỨC ĂN CHO GIA SÚC NHAI LẠI

Leptocarpus disjunctus Mast., is a species of grass that grows naturally in the sandy coastal areas of central Vietnam. This species has strong vitality, growing singly in clumps or growing together, covering the surface of the sand. Adaptability and ability to withstand flooding and drought are very high. The study aimed to evaluate the potential of naturally growing L. disjunctus as food for ruminants through the assessment criteria of the highest plant height, canopy height, green matter yield, dry matter yield, protein yield, and chemical composition. The experiment was conducted in the sandy soils of Le Thuy District, Quang Binh Province, and Quang Thai District, Thua Thien Hue Province. At each location, five plots were selected to implement experiments and conducted over two seasons, dry season and rainy season. The highest plant height ranged from 102.58 - 104.82cm, and canopy height ranged from 80.26 - 81.57cm. Green matter yield, dry matter yield, and protein yield were from 10.3 - 12.4 tons/ha/batch, 4.1 - 4.8 tons/ha/batch, and 0.6 - 0.7 tons/ha/batch, respectively. Chemical composition including dry matter (DM) 43.55%, CP 5.70%, EE 1.72%, CF 43.23%, ADF 43.64%, NDF 69.09%, and total minerals 2.14%, calculated as a percent of DM. In conclusion, the results showed that L. disjunctus growing naturally in poor sandy soils and harsh weather in Quang Binh and Thua Thien Hue provinces could be used as food for ruminants.Cây Chanh lương (Leptocarpus disjunctus Mast.) là một loài cây cỏ mọc tự nhiên ở vùng cát ven biển các tỉnh miền Trung, Việt Nam. Loài này có sức sống mạnh mẽ, mọc đơn lẻ từng khóm hay mọc liền bì bịt kín mặt cát. Khả năng thích nghi và khả năng chịu ngập nước hoặc chịu hạn rất cao. Nghiên cứu nhằm đánh giá tiềm năng của cây Chanh lương mọc tự nhiên để làm thức ăn cho gia súc nhai lại thông qua các chỉ tiêu về chiều cao cây cao nhất, chiều cao thảm cỏ; năng suất chất xanh, năng suất chất khô, năng suất protein và thành phần hóa học. Thí nghiệm đã được tiến hành ở các vùng đất cát của huyện Lệ Thủy, tỉnh Quảng Bình và huyện Quảng Thái, tỉnh Thừa Thiên Huế. Tại mỗi địa điểm, 5 ô nghiên cứu được chọn để bố trí thí nghiệm, tiến hành qua hai mùa, mùa khô và mùa mưa. Chiều cao cao nhất của cây trong khoảng 102,58 – 104,82cm, chiều cao thảm cỏ 80,26 – 81,57cm. Năng suất chất xanh, năng suất chất khô, năng suất protein lần lượt 10,3 – 12,4 tấn/ha/lứa, 4,1 – 4,8 tấn/ha/lứa, 0,6 – 0,7 tấn/ha/lứa. Thành phần hóa học gồm vật chất khô (DM) 43,55%, tính theo DM, CP 5,70%, EE 1,72%, CF 43,23%, ADF 43,64%, NDF 69.09% và khoáng tổng số 2,14%. Kết quả nghiên cứu cho thấy tiềm năng sử dụng nguồn Chanh lương mọc tự nhiên ở các vùng đất cát nghèo dinh dưỡng, thời tiết khắc nghiệt ở Quảng Bình và Thừa Thiên Huế làm thức ăn cho gia súc nhai lại

Applications of Mach-Zehnder Interferometry to Studies on Local Deformation of Polymers Under Photocuring

A Mach‐Zehnder interferometer (MZI) was built and modified to in situ monitor the deformation of polymers during the photocuring process. In this review, the working principle and method of operation of this MZI were explained together with the method of data analysis. As the examples for the utilization of this modified MZI, measurements of the deformation induced by photopolymerization was demonstrated for three different types of samples: homopolymer in the bulk state, miscible polymer blends and phase‐separated polymer blends. Finally, a concluding remark is provided for the usage of MZI in polymer research

Factors Affecting Students’ Intention to Use Massive Open Online Courses

Massive Open Online Courses (MOOCs) attract many researchers because of their massiveness, openness, machine and peer assessment, yet there are still many questions to be answered. This study was conducted at FPT University in Can Tho during the 2020-2021 academic year using the quantitative approach. A purposeful sampling technique was used to select 226 participants who partook at least one MOOC on the Coursera platform. The questionnaire consists of 18 items adapted from Technology Acceptance Model (TAM) developed by Davis (1989), and Learning Strategies, by Marton and Säljö (1976). The findings showed that perceived ease of use (PEOU), and perceived usefulness (PU) have a great impact on students’ intention to use MOOCs in the future, PU, however, has a stronger and more direct correlation to the acceptability of MOOCs. Furthermore, surface learning strategy has a negative effect on the intention to enroll in MOOCs while deep learning strategy was not significantly correlated with intended future use of MOOCs. More importantly, a valuable finding was that surface learning strategy was in inverse proportion to courses variable and it can be lessened. Our findings are expected to offer a multi-dimensional view for students, especially those in the current context as well as MOOCs developers in order to design curricula