68 research outputs found
THE SHELF-LIFE OF BLACK TIGER SHRIMP (PENAEUS MONODON) TREATED WITH THE DIFFERENT CONDITIONS
This study examines the chemical and microbiological changes and the sensory attributes of black tiger shrimp (Penaeus monodon) when stored at the temperature of 0 ºC. Sodium propionate and sodium lactate were used to treat shrimps before storage. Vacuum packaging was also carefully investigated. Throughout storage, the quality indicates including TVB-N, TMA-N, histamine, quality index (QI) and total viable count (TVC) were used to evaluate the quality changes of shrimp. The results show that though with different rates, the increase in quality indicators caused the decrease in the quality of shrimp during storage. The quality of shrimps treated with salts of organic acids or those packed in the vacuum bags was significantly higher than that of the control. In particular, the shelf-life of the sample packed in the vacuum packages was twelve days, which was four days longer than that of the control
Application of the cut-off projection to solve a backward heat conduction problem in a two-slab composite system
The main goal of this paper is applying the cut-off projection for solving one-dimensional backward heat conduction problem in a two-slab system with a perfect contact. In a constructive manner, we commence by demonstrating the Fourier-based solution that contains the drastic growth due to the high-frequency nature of the Fourier series. Such instability leads to the need of studying the projection method where the cut-off approach is derived consistently. In the theoretical framework, the first two objectives are to construct the regularized problem and prove its stability for each noise level. Our second interest is estimating the error in -norm. Another supplementary objective is computing the eigen-elements. All in all, this paper can be considered as a preliminary attempt to solve the heating/cooling of a two-slab composite system backward in time. Several numerical tests are provided to corroborate the qualitative analysis.Peer reviewe
Lecane (Rotifera: Lecanidae) community in psammon habitat in Central Coast Vietnam: Diversity and relation to environmental condition
Characteristics of the Lecane (Rotifera) community in psammon in Central Coast Vietnam were investigated. A total of 50 taxa were identified in samples collected at hygropsammon zones of temporary pools, contributing 4 new species to rotifers' record of Vietnam. Psammonxenic species accounted for the largest percentage of Lecane community with 82%, followed by psammophiles (12%) and psammonbionts (6%). Influences of some environmental factors on the distribution of psammic lecanids were also observed. This group of organisms showed a slight tendency towards sand with grain sizes larger than 125 µm. Besides, other abiotic factors including pH, total phosphorus (TP) and total dissolved solids (TDS) were also found to significantly related to the distribution of some common Lecane species
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Expanding Vision in Tree Counting: Novel Ground Truth Generation and Deep Learning Model
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Affordance detection and pose estimation are of great importance in many
robotic applications. Their combination helps the robot gain an enhanced
manipulation capability, in which the generated pose can facilitate the
corresponding affordance task. Previous methods for affodance-pose joint
learning are limited to a predefined set of affordances, thus limiting the
adaptability of robots in real-world environments. In this paper, we propose a
new method for language-conditioned affordance-pose joint learning in 3D point
clouds. Given a 3D point cloud object, our method detects the affordance region
and generates appropriate 6-DoF poses for any unconstrained affordance label.
Our method consists of an open-vocabulary affordance detection branch and a
language-guided diffusion model that generates 6-DoF poses based on the
affordance text. We also introduce a new high-quality dataset for the task of
language-driven affordance-pose joint learning. Intensive experimental results
demonstrate that our proposed method works effectively on a wide range of
open-vocabulary affordances and outperforms other baselines by a large margin.
In addition, we illustrate the usefulness of our method in real-world robotic
applications. Our code and dataset are publicly available at
https://3DAPNet.github.ioComment: Project page: https://3DAPNet.github.i
A Large-Scale Study of a Sleep Tracking and Improving Device with Closed-loop and Personalized Real-time Acoustic Stimulation
Various intervention therapies ranging from pharmaceutical to hi-tech
tailored solutions have been available to treat difficulty in falling asleep
commonly caused by insomnia in modern life. However, current techniques largely
remain ill-suited, ineffective, and unreliable due to their lack of precise
real-time sleep tracking, in-time feedback on the therapies, an ability to keep
people asleep during the night, and a large-scale effectiveness evaluation.
Here, we introduce a novel sleep aid system, called Earable, that can
continuously sense multiple head-based physiological signals and simultaneously
enable closed-loop auditory stimulation to entrain brain activities in time for
effective sleep promotion. We develop the system in a lightweight, comfortable,
and user-friendly headband with a comprehensive set of algorithms and dedicated
own-designed audio stimuli. We conducted multiple protocols from 883 sleep
studies on 377 subjects (241 women, 119 men) wearing either a gold-standard
device (PSG), Earable, or both concurrently. We demonstrate that our system
achieves (1) a strong correlation (0.89 +/- 0.03) between the physiological
signals acquired by Earable and those from the gold-standard PSG, (2) an 87.8
+/- 5.3% agreement on sleep scoring using our automatic real-time sleep staging
algorithm with the consensus scored by three sleep technicians, and (3) a
successful non-pharmacological stimulation alternative to effectively shorten
the duration of sleep falling by 24.1 +/- 0.1 minutes. These results show that
the efficacy of Earable exceeds existing techniques in intentions to promote
fast falling asleep, track sleep state accurately, and achieve high social
acceptance for real-time closed-loop personalized neuromodulation-based home
sleep care.Comment: 33 pages, 8 figure
Chemical profile and antibacterial activity of acetone extract of Homalomena cochinchinensis Engl. (Araceae)
Homalomena cochinchinensis Engl. is a rare species which is found in Southern China, Cambodia, Laos and Vietnam and its chemical constituents and bioactivity have not been determined yet. In this study, we identified 32 and 38 compounds in acetone extracts of H. cochinchinensis aerial part and rhizome, respectively via gas chromatography mass spectrometry (GC/MS). The main constituents of acetone extract of the aerial part were 3-((4Z,7Z)-Heptadeca-4,7-dien-1-yl)phenol (18.73%); cis-9,cis-12-Octadecadienoic acid (12.04%); linolenic acid (11.08%); n-Hexadecanoic acid (10.13%); (Z)-3-(Heptadec-10-en-1-yl)phenol (7.09%); ?-Sitosterol (5.58%) and linalool (5.56%). On the other hand, acetone extract of rhizome contained linalool (28.42%); 1,2,3-Propanetriol, 1-acetate (10.13%); 3-((4Z,7Z)-Heptadeca-4,7-dien-1-yl)phenol (5.28%); 3-Buten-2-one, 3-methyl-4-(1,3,3-trimethyl-7-oxabicyclo[4.1.0]heptan-1-yl)- (5.28%) and 4-(2,6,6-Trimethyl-cyclohex-1-enyl)-butyric acid (4.54%). Furthermore, this study has also proved the antibacterial activity of acetone extracts from the aerial part and the rhizome of this species for the first time using disk diffusion method. The results showed that the extract of the aerial part could inhibit the growth of 5 out of a total 6 bacterial strains, including Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Salmonella enteritidis and Staphylococcus aureus; while the susceptible strains to the rhizome extract were 5 strains, such as B. cereus, E. coli, P. aeruginosa, Salmonella typhimurium and S. aureus. The findings suggest the further application of this species in pharmacology and medicine
Short Tandem Repeats Used in Preimplantation Genetic Testing of Î’-Thalassemia: Genetic Polymorphisms For 15 Linked Loci in the Vietnamese Population
BACKGROUND: β-thalassemia is one of the most common monogenic diseases worldwide. Preimplantation genetic testing (PGT) of β-thalassemia is performed to avoid affected pregnancies has become increasingly popular worldwide. In which, the indirect analysis using short tandem repeat (STRs) linking with HBB gene to detect different β-globin (HBB) gene mutation is a simple, accurate, economical and also provides additional control of contamination and allele-drop-out ADO.
AIM: This study established microsatellite markers for PGT of Vietnamese β-thalassemia patient.
METHODS: Fifteen (15) STRs gathered from 5 populations were identified by in silico tools within 1 Mb flanking the HBB gene. The multiplex PCR reaction was optimized and performed on 106 DNA samples from at-risk families.
RESULTS: After estimating, PIC values were ≥ 0.7 for all markers, with expected heterozygosity and observed heterozygosity values ranged from 0.81 to 0.92 and 0.53 to 0.86, respectively. One hundred percent of individuals had at least seven heterozygous markers and were found to be heterozygous for at least two markers on either side of the HBB gene. The STRs panel was successfully performed on one at-risk family.
CONCLUSION: In general, a pentadecaplex marker (all < 1 Mb from the HBB gene) assay was constituted for β-thalassemia PGT on Vietnamese population
A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION
Food classification has always piqued the interest of both domestic and international researchers, but numerous challenges remain. We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Year dishes. We have experimented with classification using feature vectors from network architectures such as VGG16, Inception-v3, ResNet-50, Xception, and MobileNet-v2 to train support vector machines (SVMs), meeting the dataset’s challenges and laying the groundwork for the development of many optimal methods in the future that promise scientific breakthroughs in the service and commercial industries. At the same time, the authors desire to share a piece of Vietnamese cuisine’s distinctiveness with worldwide friends
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