96 research outputs found
ONLINE SHOPPING TRENDS OF VIETNAMESE YOUNG PEOPLE
With the drastic development of the Internet and social media, online shopping gradually gains traction after being introduced to the market in the 1990s. Since the outbreak of Covid-19 in 2020, this trend has become more popular on a global scale. There are numerous benefits including the wide range of products, sales, and saving consumers' time, which attract more and more people, especially the youth. As far as the increasing importance of online shopping is concerned, our research team has a deeper insight into it through articles and research on Vietnamese Generation Z, who were born from 1995 to 2012 to understand more about the demands, time usage, advantages, and disadvantages of online shopping. From the results of the research, we put forward some solutions that consumers could implement to purchase things online more effectively
LAPFormer: A Light and Accurate Polyp Segmentation Transformer
Polyp segmentation is still known as a difficult problem due to the large
variety of polyp shapes, scanning and labeling modalities. This prevents deep
learning model to generalize well on unseen data. However, Transformer-based
approach recently has achieved some remarkable results on performance with the
ability of extracting global context better than CNN-based architecture and yet
lead to better generalization. To leverage this strength of Transformer, we
propose a new model with encoder-decoder architecture named LAPFormer, which
uses a hierarchical Transformer encoder to better extract global feature and
combine with our novel CNN (Convolutional Neural Network) decoder for capturing
local appearance of the polyps. Our proposed decoder contains a progressive
feature fusion module designed for fusing feature from upper scales and lower
scales and enable multi-scale features to be more correlative. Besides, we also
use feature refinement module and feature selection module for processing
feature. We test our model on five popular benchmark datasets for polyp
segmentation, including Kvasir, CVC-Clinic DB, CVC-ColonDB, CVC-T, and
ETIS-LaribComment: 7 pages, 7 figures, ACL 2023 underrevie
Preparation of composite wire FexNi100-x/Cu with Magnetoimpedance (MI) effect. Part II. Relation between composition, structure, magnetic properties and MI effect
Relation between composition and structure, magnetic properties and magnetoimpedance (MI) effect of electrodeposited composite wire FexNi1-x/Cu were investigated. Results showed that the increase of Fe content enhanced the bcc phase and decreased the grain size of the deposited alloy. The coercively Hc of the composite wire FexNi100-x/Cu varied with composition and achieved the lowest value of 1.49 Oe with the wire composition of Fe54Ni46/Cu. MI effect was strongly influenced by the wire composition and corresponded well with the change of coercively. the maximum values of MIrmax were 110% (f = 4.5 Hz) and 23% (f = 10.7 Hz) with the wire composition of Fe54Ni46/Cu
Insights into the magnetic origin of CunCr (n= 9÷11) clusters: A superposition of magnetic and electronic shells
Interests in Cu-Cr sub-nanometer systems have been increasing due to the recently-found icosahedral Cu12Cr cluster as a superatomic molecule, where the 3d-Cr and 4s-Cu electrons can phenomenologically form the 18-e molecular shell (1S21P61D10) of Cu12Cr. In this report, we set out to investigate the energetically-preferred geometries and stabilities of CunCr (n = 9÷11) clusters using the density-functional-theory calculations. It is found that not all of 3d-Cr electrons involve in the formation of the cluster shell and the remaining localized ones cause the magnetic moment of the clusters, which is different from what was believed
Effect of pulse time and external magnetic field on Giant Magnetoresistance (GMR) effect of electrodeposited multilayer Co/Cu
Influences of pulse time and external magnetic on Giant Magnetoresistance (GMR) effect of multilayer Co/Cu were investigated. Results showed that by changing pulse deposition time (tCo, tCu), the MR ratio of the electrodeposited multilayers varied from 0 to 2.70%. The maximum value of MR ratio (2.70%) was achieved with deposition time (tCo= 2s, tCu= 5s), corresponding to the thickness (δCo = 2.1 nm, δCu= 7.0 nm). The presence of external magnetic field Hext during electrodeposition enhanced the amount of deposited Cu on one hand, and increased the (200) texture of the deposited films on the other hand. As a result, the MR ratio of the obtained multilayers increased slightly from 2.70% (Hext= 0) to 2.74% (Hext= 600 mT)
Influence of magnetic field on properties of electrodeposited FeCo layer
Effect of magnetic field on the electrodeposition of FeCo layers has been investigated with respect to the orientation of the magnetic field to surface electrode e.g magnetic field is parallel and perpendicular to electrode. Electrochemical behaviours, morphology, composition, structure and magnetic properties were investigated using cyclic voltammogram (CV), Scanning Electron Microscopy (SEM), Energy Dispersion Spectroscopy (EDS), X-Ray Diffractometer (XRD), Vibrating Sample Magnetometer (VSM). Results show that morphology and structure of the deposited layers are not effected by external magnetic field. Meanwhile, the Fe content of the layer decreases by following sequence CFe(B=0)CFe(B//)CFe(^), resulting in the following sequence of coerciviy HC(B=0) HC (B//) HC (^). These results were explained based on the magnetohydronamic (MHD) effect caused by the Lorentz force () when magnetic field is superimposed
Optimization of the leaching process of the printed circuit boards production’s sludge for copper recovery via electrolysis
Copper is the main component of printed circuit boards (PCBs) which is the main part of an electronic device. The manufacture of PCBs often releases huge amount of sludge which contained copper. Derived from the demand of the industrial park about the wasted sludge treatment and the reducing of the plantation of natural mineral resources, the copper recovery process from PCBs manufacture's wasted sludge was studied. The process of copper leaching by sulfuric acid solution was studied using experimental planning methods using the simulation software Modde 5.0. The parameters were calculated and simulated to evaluate the effect of the acid concentration, leaching time, and the ratio between the solid and liquid phases on the leaching efficiency. The obtained results by simulation were compared with real experimental results. The obtained results from this study are planning in the actual deployment of the Hanoi Urban Environment One Member Limited Company in Vietnam. Keywords. Printed circuit board, copper sludge, leaching
Characterization of arsenic-resistant endophytic Priestia megaterium R2.5.2 isolated from ferns in an arsenic-contaminated multi-metal mine in Vietnam
Bioremediation is a biological process to remove or neutralize environmental pollutants. This study was carried out to investing at the efficacy of arsenic resistant endophytic bacteria isolated from Pteris vittata, Pityrogramma calomelanos, Blenchum orientale, and Nephrolepis exaltata, which grow in a highly arsenic (As) contamination mining site in Vietnam. Their segmented roots, stems, and leaves were homogenized separately and inoculated on LB agar plates containing 5mM As(III) and As(V). A total of 31 arsenic resistant endophytic strains were selected, in which strain R2.5.2 isolated from the root of P. calomelanos had the highest arsenic resistant capability. Strain R2.5.2 tolerated up to 320 mM and 160 mM of arsenate and arsenite, respectively. The strain developed well on a media of 0.1 5% NaCl, at 20-40ºC and pH 5 9, and actively utilized most of the sugar sources. It had a high IAA biosynthesis capacity with an average concentration of 19.14 mg/L, tolerated to 0.5-16 mM concentration of Ag+, Hg2+, Co2+, Ni2+, Cu2+, Cr4+, and reduced As(V). Based on 16s rDNA, R2.5.2 was identified as Priestia megaterium. The ars C gene coding for arsenate reductase catalyzing reduction of As(V) was successfully amplified in P. megaterium R2.5.2. The selected strain may have potential use for bioremediation practice
A community participatory intervention model to reduce the health risks from biogas wastewater in Hanam Province, Vietnam
In Vietnam, using biogas to treat livestock waste is common, in particular on small holder farms. However, most small holder farms do not know how to use biogas correctly and wastewater can affect health and the environment. Using a participatory approach with farmers and other stakeholders we developed and implemented a set of interventions in Hanam province to reduce health risks from biogas wastewater. Twenty-four pig farmers were selected as a "core group" to be instrumental in developing the interventions and training other farmers to correctly use biogas. The intervention model was piloted for 6 months. Several outputs were obtained including i) approval and enforcement of a "huong uoc - village law" on environmental protection; ii) training of 24 farmers from the core group in communication skills to share information on using biogas; iii) development of a 6-step program of pig cage cleaning to limit waste loaded to biogas to improve the efficiency of biogas production; iv) a health monitoring books for humans and animals for use by families in the community. The results provided evidence that applying the participatory approach can lead to improved knowledge and practices of farmer using biogas and can reduce the health risks from biogas wastewater
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