33 research outputs found
Self expression versus the environment: Attitudes in conflict
Abstract Purpose - This paper aims to present the findings of a survey into attitudes towards the environment and the pro-environmental behaviours of young adults in Vietnam. Design/Methodology/Approach - An online survey was administered to university students in Vietnam's two most populous cities, Ha Noi and Ho Chi Minh City (N 391). Findings - The results suggest that environmental considerations are not taken into account in young Vietnamese adults' purchase intentions. This is more evident in expressive purchases, but also, to some degree, in utilitarian purchases. Practical implications - For the marketers of environmentally friendly products, this represents at least two key challenges: first, to try to shift the attitudes of young adult consumers towards thinking of environmental friendliness as an attractive characteristic and status-filled activity for potential expressive purchases. Second, making environmentally friendly alternatives of expressive goods more visible and more widely available in Vietnam. Social implications - Non-government organisations and governments seeking to protect the environment need to consider this unique dynamic in social marketing campaigns to increase the desirability of pro-environmental product choices and other pro-environmental behaviours. Originality/value - This paper examines pro-environmental behaviours and intentions of young adults in Vietnam for the first time. The paper establishes that self-expression is more important than the environment, and it is also evident that these young consumers are still vulnerable to perceived social pressure when it comes to expressing themselves
Village Baseline Study – Site Analysis Report for My Loi, Ky Anh district, Ha Tinh province – Viet Nam
Data collection for the Village Baseline Study (VBS) of My Loi village in the CCAFS
benchmark site of central Viet Nam took place on 17- 19 October 2014. Focus group
discussions were conducted separately for 45 men and 45 women villagers.. The VBS had
three main topics: map of (1) community resources, (2) organizational landscapes, and (3)
information networks. A seminar was held in December 2014 to seek participants’ feedback.
My Loi village has experienced multiple extreme weather events (temperature and water
stresses, storms and typhoons) throughout the years. The main constraints for agricultural
development and livelihoods are limited water resources and poor conditions of irrigation
systems, which are challenges to improving the agricultural production situation. Moreover,
sand and rock mining have caused water pollution, erosion on riverbanks and loss of
farmland area. Another constraint is marketing, as villagers are not aware of any organization
involved in finding outlets for agricultural products. The potentials for developing innovative
climate-smart solutions in the village are several: farmers have experiences and are interested
in trying new varieties and adjusting farming calendars to improve the situation. Livestock
expansion and agroforests/reforestation hold opportunities for improving household incomes.
Furthermore, at least half of the organisations identified in the region are working to address
food security issues
Village Baseline Study – Site Analysis Report Ma village-Yen Binh district, Vietnam
Ma village, Vinh Kien commune, Yen Binh district, Yen Bai province has been
selected to be one of Climate Smart Villages (CSVs) under the CGIAR Research Program on
Climate Change, Agriculture and Food Security (CCAFS) in Southeast Asia. The village
baseline survey (VBS) of Ma village, was therefore conducted as part of the baseline effort.
This VBS aimed to provide baseline information at the village level about some basic
indicators of natural resource utilization, organizational landscapes, and information
networks for weather and agricultural information, which can be compared across sites and
monitored over time. The study was conducted using the method developed and provided by
CCAFS. The study’s findings show that Ma Village is rich and diverse in natural resources.
There are three main resources of vital importance for the local people livelihoods, namely
farmland, forest and water resources. However, improper exploitation and management have
caused negative impacts on these resources. As mentioned by farmers, in the past, farmland
of the village used to be very fertile, but has now become severely degraded due to overexploitation
and improper management. Regarding forest resources: before 1980s, natural
forests existed in large areas and consisted of valuable timber and wild animals. Today, much
of the forest area has been converted to production forests or to food crop production land.
Water resources, including lakes, rivers and streams have been severely polluted with
pollutants from processing cassava, wood and also from animal husbandry and crop
production. Degradation of water, farmland and forest resources are causing increasing
challenges to agricultural production and also to other human activities. Results of farmer
group discussions also demonstrate that there are 34 organizations operating in the village.
Most of them are governmental. Very few are private or non-governmental organizations.
The number of organizations involving in food security accounts for nearly 50%, the figure
for those involving food crisis is 41.6% and in natural resources management is 25%. Those
organizations working in food security and food crisis focus mainly on providing support
(financial, seed and agricultural inputs) to local farmers to implement some production
activities. Insufficient attention and input spent for sustainable development by these 34
organizations, especially those working in the area of natural resources management, could
be one of the main reasons for the degradation and erosion of natural resources. There was no
activity supporting Ma Village to develop production systems which can respond well to
climate change. The study findings however show that local people are very flexible and
creative, especially in exploitation of information. Among media channels, television is the
most popular. Nevertheless, organizations, in particular, extension networks, Farmers’ Union,
local authorities, etc., also have an important role in information dissemination. Exploitation
of information from the internet and mobile phones has also been given attention, but mostly
by young people only
ANTI-SWAY TRACKING CONTROL OF OVERHEAD CRANE SYSTEM BASED ON PID AND FUZZY SLIDING MODE CONTROL
The paper presents a PID – Fuzzy Sliding Mode control (PID-FSMC) algorithm for overhead crane system to guarantee anti-sway trajectory tracking of the nominal plant. The proposed PID-FSMC law guarantees the closed-loop asymptotical stability as well as improveS the transient response of the load sway dynamics when the trolley is moving. The simulation results confirm the propriety of the proposed controller and show great promise of the controller application in practice
Effect of TiO2 on the Gas Sensing Features of TiO2/PANi Nanocomposites
A nanocomposite of titanium dioxide (TiO2) and polyaniline (PANi) was synthesized by in-situ chemical polymerization using aniline (ANi) monomer and TiCl4 as precursors. SEM pictures show that the nanocomposite was created in the form of long PANi chains decorated with TiO2 nanoparticles. FTIR, Raman and UV-Vis spectra reveal that the PANi component undergoes an electronic structure modification as a result of the TiO2 and PANi interaction. The electrical resistor of the nanocomposite is highly sensitive to oxygen and NH3 gas, accounting for the physical adsorption of these gases. A nanocomposite with around 55% TiO2 shows an oxygen sensitivity of 600–700%, 20–25 times higher than that of neat PANi. The n-p contacts between TiO2 nanoparticles and PANi matrix give rise to variety of shallow donors and acceptor levels in the PANi band gap which enhance the physical adsorption of gas molecules
CSA: Thá»±c hĂ nh nĂ´ng nghiệp thĂ´ng minh vá»›i khĂ háşu ở Việt Nam
During the last five years, Vietnam has been one of the countries most affected by climate change. Severe typhoons, flooding, cold spells, salinity intrusion, and drought have affected agriculture production across the country, from upland to lowland regions. Fortunately for Vietnam, continuous work in developing climate-smart agriculture has been occurring in research organizations and among innovative farmers and entrepreneurs. Application of various CSA practices and technologies to adapt to the impact of climate change in agriculture production have been expanding. However, there is a need to accelerate the scaling process of these practices and technologies in order to ensure growth of agriculture production and food security, increase income of farmers, make farming climate resilient, and contribute to global climate change mitigation. This book aims to provide basic information to researchers, managers, and technicians and extentionists at different levels on what CSA practices and technologies can be up scaled in different locations in Vietnam
EREL: an Entity Recognition and Linking algorithm
This paper introduces the EREL algorithm that integrates Entity Recognition, Co-reference Resolution (CR) and Disambiguation. The algorithm recognizes entity mentions as the longest name based on the name dictionary constructed from the Wikipedia data. The CR is integrated into the algorithm to improve the performance in processing short-form or abbreviated names. The algorithm employs a new approach in disambiguation entities using new features as entity-level context information and case-sensitive data about the mention in disambiguation. Tested on four benchmark data sets in the GERBIL framework, EREL outperforms the current Entity Linking methods. EREL achieves the micro f-score as 0.83 in both tasks Disambiguate to Wikipedia and Annotate to Wikipedia
An ensemble of multi-model regression framework based on fuzzy clustering using inference system architecture for reservoir permeability prediction
One of the critical engineering problems in optimisation reservoir development is petroleum reservoir description and characterisation. Also, the successful applications of fuzzy inference system (FIS) and ensemble learning method in reservoir characterisation have been reported. In this study, we proposed an ensemble of multi-model regression framework based on FIS architecture to tackle the challenge of permeability prediction using logs data properties. The study demonstrates the capability of the ensemble model when tested in well log properties which is practical data of Oligocene geological types from Cuu Long basin. Empirical results indicate that our proposed algorithm framework is efficient and has the significant improvement compare to each existing standard single model
Understanding the Role of Free-Living Bacteria in the Gut of the Lower Termite <i>Coptotermes gestroi</i> Based on Metagenomic DNA Analysis
Termites’ digestive systems, particularly in lower termites with the presence of protozoa, are unique ecological niches that shelter a diverse microbiota with a variety of functions for the host and the environment. In 2012, the metagenomic DNA (5.4 Gb) of the prokaryotes that freely live in the gut of the lower termite Coptotermes gestroi were sequenced. A total of 125,431 genes were predicted and analyzed in order to mine lignocellulolytic genes. however, the overall picture of the structure, diversity, and function of the prokaryotic gut microbiota was not investigated. In the present study, these 125,431 genes were taxonomically classified by MEGAN and functionally annotated by the Kyoto Encyclopedia of Genes and Genomes (KEGG) and by the Carbohydrate-Active enZYmes (CAZy) and HMMER databases. As a result, 95,751 bacterial genes were classified into 35 phyla. The structure of the bacteria, typified by a high ratio of Firmicutes to Bacterioidetes, was distinct from the structure of the entirety of the bacteria in the lower or higher termites’ guts. The archaea (533 genes) were distributed into 4 phyla, 10 classes, 15 orders, 21 families, 47 genera, and 61 species. Although freely living in the guts, the prokaryotic community was formed, developed, and adapted to exhibit unique interactions in order to perform mutual roles of benefit to their hosts. Methanobacteriales, accounting for 61% of the archaea symbionts, seem to play an important role in methanogenesis. Concomitantly, bacterial methanotrophs in the gut utilize methane and combine with other bacterial groups, including potential lignocellulolytic degraders, acetogens, sulfur bacteria, and nitrogen-recycling bacteria, to efficiently convert wood with little nitrogen into acetates via certain pathway modules specified by prokaryotes that freely live in the gut. This forms an important energy source for the termites. Furthermore, bacteria carry 2223 genes involved in the biosynthesis of 17 antibiotic groups. The gut bacteria also possess genes for the degradation of 18 toxic aromatic compounds, of which four are commercial pesticides against termites commonly used for the preservation of wooden constructions. Eight of the eighteen pathways were the first to be reported from the termite gut. Overall, this study sheds light on the roles of the freely living bacteria and archaea in the C. gestroi gut, providing evidence that the gut microbiome acts as the second host genome, contributing both nutrients and immunity to support the host’s existence, growth, and development