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Combination of Deep Learner Network and Transformer for 3D Human Pose Estimation
Tien-Dat Tran,Xuan-Thuy Vo,Duy-Linh Nguyen,Kang-Hyun Jo 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
Deep neural networks (DNNs) have attained the maximum performance today not just for human pose estimation but also for other machine vision applications (e.g., semantic segmentation, object detection, image classification). Besides, the Transformer shows its good performance for extracting the information in temporal information for video challenges. As a result, the combination of deep learner and transformer gains a better performance than only the utility one, especially for 3D human pose estimation. At the start point, input the 2D key point into the deep learner layer and transformer and then use the additional function to combine the extracted information. Finally, the network collects more data in terms of using the fully connected layer to generate the 3D human pose which makes the result increased precision efficiency. Our research would also reveal the relationship between the use of the deep learner and transformer. When compared to the baseline-DNNs, the suggested architecture outperforms the aseline-DNNs average error under Protocol 1 and Protocol 2 in the Human3.6M dataset, which is now available as a popular dataset for 3D human pose estimation.
Tran Thi Kieu Ngan,Le Van Thuan,Nguyen Tien Hoang,Doan Van Dat,Vasseghian Yasser,Le Hoang Sinh 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.7
The present study provides an eco-friendly and economical way to recycle discarded cigarette butts (CBs). The raw CBs were treated with NaOH (CB-B) and integrated with chitosan (Cs), and further applied as an adsorbent for the removal of synthetic dyes. Two common cationic dyes of methylene blue (MB) and crystal violet (CV) and one anionic dye of reactive blue 19 (RB 19) were selected as model adsorbates. The study results revealed that CB-B showed a high adsorption ability toward cationic dyes, while the CB-B/Cs composite exhibited a stronger affinity for the anionic RB 19. The adsorption of all selected dyes onto CB-B and CB-B/Cs was a spontaneous exothermic process, conforming to the pseudo-first-order kinetic and Langmuir isotherm models. The maximum adsorption capacities for MB, CV and RB 19 at pH of 7, an adsorbent dosage of 4, and a temperature of 25 °C were 89.85, 82.41, and 304.49 mg/g, respectively. The primary adsorption mechanism was physical adsorption with the participation of electrostatic attraction. The CB-based adsorbents displayed high reusability, maintaining more than 75% after four consecutive cycles of reuse. This study demonstrates the promising application potential of CB-based adsorbents for treating synthetic dyes in wastewater. The conversion of CBs into a useful high-value material has special significance for environmental engineering.
Tran, Phuong Thao,Dat, Nguyen Tien,Dang, Nguyen Hai,Van Cuong, Pham,Lee, Suhyun,Hwangbo, Cheol,Van Minh, Chau,Lee, Jeong-Hyung Elsevier 2019 Phytomedicine Vol.55 No.-
<P><B>ABSTARCT</B></P> <P><B>Background</B></P> <P>Many bone-related diseases such as osteoporosis and rheumatoid arthritis are commonly associated with excessive activity of the osteoclast. Ganomycin I (GMI), a meroterpenoid isolated from Vietnamese mushroom <I>Ganoderma lucidum</I>, possesses a variety of beneficial effects on human health. However, its impact and underlying mechanism on osteoclastogenesis remain unclear. In the present study, we investigated the effect of GMI on RANKL-induced osteoclast formation in mouse BMMs and RAW264.7 cells.</P> <P><B>Methods</B></P> <P>BMMs or RAW264.7 cells were treated with GMI followed by an evaluation of cell viability, RANKL-induced osteoclast differentiation, actin-ring formation, and resorption pits activity. Effects of GMI on RANKL-induced phosphorylation of MAPKs as well as the expression levels of NFATc1 and c-Fos were evaluated by Western blot analysis. Expression levels of osteoclast marker genes were evaluated by Western blot analysis and reverse transcription-qPCR.</P> <P><B>Results</B></P> <P>GMI significantly inhibited RANKL-induced osteoclast differentiation by decreasing the number of osteoclasts, osteoclast actin–ring formation, and bone resorption in a dose-dependent manner without affecting cell viability. At molecular level, GMI inhibited the RANKL-induced phosphorylation of ERK, JNK, and p38 MAPKs, as well as the expression levels of c-Fos and NFATc1, which are known to be crucial transcription factors for osteoclast formation. In addition, GMI decreased expression levels of osteoclastogenesis specific marker genes including c-Src, CtsK, TRAP, MMP-9, OSCAR, and DC-STAMP in RANKL-stimulated BMMs.</P> <P><B>Conclusion</B></P> <P>Our findings suggest that GMI can attenuate osteoclast formation by suppressing RANKL-mediated MAPKs and NFATc1 signaling pathways and the anti-osteoclastogenic activity of GMI may extend our understanding of molecular mechanisms underlying biological activities and pharmacological use of <I>G. lucidum</I> as a traditional anti-osteoporotic medicine.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Computation Offloading in Satellite Edge Computing - A Reinforcement Learning Approach
Thanh Phung Truong,Van Dat Tuong,Anh-Tien Tran,Chunghyun Lee(이충현),Sungrae Cho(조성래) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
Satellite edge computing is a new paradigm to meet the computation requirement of user devices with stringent computation constraints. In this paper, we study the computation offloading decision problem in satellite edge computing network to minimize the delay and energy consumption of user devices. We propose a deep Q learning algorithm to solve the problem.
Nguyen Huu Tung,Chau Van Minh,Phan Van Kiem,Hoang Thanh Huong,Tran Thu Ha,Nguyen Tien Dat,Nguyen Xuan Nhiem,Nguyen Xuan Cuong,Jae-Hee Hyun,Hee-Kyoung Kang,김영호 대한약학회 2009 Archives of Pharmacal Research Vol.32 No.12
One new C29 sterol with a cyclopropane ring at C-25 and C-26, aragusteroketal B (1), and aragusterol B (2) were isolated from the Vietnamese marine sponge Ianthella sp. Their structures were elucidated by extensive spectroscopic analyses. Both 1 and 2 showed moderate cytotoxic activity against MCF-7, SK-Hep-1, and HeLa cell lines with IC50 in the range of 12.8-27.8 μM.
BONEcheck: A digital tool for personalized bone health assessment
Dinh Tan Nguyen,Thao P. Ho-Le,Liem Pham,Vinh P. Ho-Van,Tien Dat Hoang,Thach S. Tran,Steve Frost,Tuan V. Nguyen 대한골다공증학회 2023 Osteoporosis and Sarcopenia Vol.9 No.3
Objectives: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Here we introduce a digital tool called 'BONEcheck' for personalized assessment of bone health. Methods: The development of BONEcheck primarily utilized data from the prospective population-based Dubbo Osteoporosis Epidemiology Study and the Danish Nationwide Registry. BONEcheck has 3 modules: input data, risk estimates, and risk context. Input variables include age, gender, prior fracture, fall incidence, bone mineral density (BMD), comorbidities, and genetic variants associated with BMD. Results: Based on the input variables, BONEcheck estimates the probability of any fragility fracture and hip fracture within 5 years, subsequent fracture risk, skeletal age, and time to reach osteoporosis. The probability of fracture is shown in both numeric and human icon array formats. The risk is also contextualized within the framework of treatment and management options on Australian guidelines, with consideration given to the potential fracture risk reduction and survival benefits. Skeletal age was estimated as the sum of chronological age and years of life lost due to a fracture or exposure to risk factors that elevate mortality risk. Conclusions: BONEcheck is an innovative tool that empowers doctors and patients to engage in wellinformed discussions and make decisions based on the patient's risk profile. Public access to BONEcheck is available via https://bonecheck.org and in Apple Store (iOS) and Google Play (Android).