Nguyen Van Long

Dr. Nguyen Van Long

Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
PDF file
TTTung Trinh
Tung Trinh
NLNguyen Van Long
Nguyen Van Long
LALe Thi Van Anh
Le Thi Van Anh
PNPham Thi Nga
Pham Thi Nga
NGNguyen Ngan Giang
Nguyen Ngan Giang
CHChan Yeong Heo
Chan Yeong Heo
Wound healing is a recovering process of damaged tissues by replacing dysfunctional injured cellular structures. Natural compounds for wound treatment have been widely used for centuries. Numerous published works provided reviews of natural compounds for wound healing applications, which separated the approaches based on different categories such as characteristics, bioactivities, and modes of action. However, current studies provide reviews of natural compounds that originated from only plants or animals. In this work, we provide a comprehensive review of natural compounds sourced from both plants and animals that target the different bioactivities of healing to promote wound resolution. The compounds were classified into four main groups (i.e., anti-inflammation, anti-oxidant, anti-bacterial, and collagen promotion), mostly studied in current literature from 1992 to 2022. Those compounds are listed in tables for readers to search for their origin, bioactivity, and targeting phases in wound healing. We also reviewed the trend in using natural compounds for wound healing.

18 June 2020 in Nano Letters
Verified
Journal Article
Closed access
JKJongchan Kim
Jongchan Kim
CHChu Thi Thu Huong
Chu Thi Thu Huong
NLNguyen Van Long
Nguyen Van Long
MYminho yoon
minho yoon
MKMin Jae Kim
Min Jae Kim
MSMyung Mo Sung
Myung Mo Sung

6 August 2024 in Small Structures
Verified
Journal Article
Open access
IPIndirajith Palani
Indirajith Palani
DNDuyen Thi Nguyen
Duyen Thi Nguyen
JKJongchan Kim
Jongchan Kim
QNQuang Khanh Nguyen
Quang Khanh Nguyen
NLNguyen Van Long
Nguyen Van Long
MSMyung Mo Sung
Myung Mo Sung
Thermoelectric materials play a crucial role in converting heat into electricity, offering significant potential for applications in waste heat recovery and cooling. Herein, an innovative approach that combines an organic–inorganic hybrid superlattice structure with nanocrystal‐amorphous composite nanolayers is introduced. The nanocrystal‐amorphous composite enhances the Seebeck coefficient resulting in a notable twofold improvement in the power factor. The superlattice, alternating self‐assembled organic monolayers and inorganic nanolayers, effectively reduces lattice thermal conductivity by creating multiple interfaces that scatter phonons effectively. The integration of the nanocrystal‐amorphous composite nanolayers into the superlattice provides a dual advantage, simultaneously boosting the power factor and suppressing thermal conductivity. This synergistic effect leads to exceptional thermoelectric performance in the 4‐mercaptophenol/Sb2Te3 superlattice, with achieved figure of merit (ZT) values of 3.48 at 300 K and reaching a peak ZT value exceeding 4.0 at 400 K while surpassing 2.5 over the temperature range from 300 to 500 K. These results suggest that this innovative approach paves the way for the development of highly efficient thermoelectric materials, propelling efforts toward more energy‐efficient and environmentally friendly solutions.

12 August 2024 in Tissue Engineering Part A
Verified
Journal Article
Closed access
LLLinh Thi Thuy Le
Linh Thi Thuy Le
PCPham Ngoc Chien
Pham Ngoc Chien
TTTung Trinh
Tung Trinh
NNNgan Giang Nguyen
Ngan Giang Nguyen
NLNguyen Van Long
Nguyen Van Long
CHChan Yeong Heo
Chan Yeong Heo
Tissue engineering scaffolds are often made from the decellularization of tissues. The decellularization of tissues caused by prolonged contact with aqueous detergents might harm the microstructure and leave cytotoxic residues. In this research, we developed a new technique to use supercritical carbon dioxide (Sc-CO 2 )-based decellularization for porcine nerve tissue. The effect of decellularization was analyzed by histological examination, including Hematoxylin and Eosin, Masson's Trichrome staining, and 4′,6-diamidino-2-phenylindole staining. Moreover, biochemical analysis of the decellularized tissues was also performed by measuring DNA content, amount of collagen, and glycosaminoglycans (GAGs) after decellularization. The results showed that the tissue structure was preserved, cells were removed, and the essential components of extracellular matrix, such as collagen fibers, elastin fibers, and GAG fibers, remained after decellularization. In addition, the DNA content was decreased compared with native tissue, and the concentration of collagen and GAGs in the decellularized nerve tissue was the same as in native tissue. The in vivo experiment in the rat model showed that after 6 months of decellularized nerve implantation, the sciatic function index was confirmed to recover in decellularized nerve. Morphological analysis displayed a range of infiltrated cells in the decellularized nerve, similar to that in native tissue, and the number of Schwann cells that play essential for motor function and sensory in the decellularized nerve was confirmed. These findings indicate that tissue decellularization using Sc-CO 2 has been successfully used in tissue engineering.

8 November 2023 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JKJongchan Kim
Jongchan Kim
YLYeonghun Lee
Yeonghun Lee
NLNguyen Van Long
Nguyen Van Long
CHChu Thi Thu Huong
Chu Thi Thu Huong
DKDongwook Kim
Dongwook Kim
MSMyung Mo Sung
Myung Mo Sung

18 October 2023
Verified
Conference Paper
Closed access
TNTran Sy Nam
Tran Sy Nam
LDLe Quoc Dat
Le Quoc Dat
NLNguyen Van Long
Nguyen Van Long
NCNguyen Bui Cuong
Nguyen Bui Cuong
The S-box is the only non-linear component in primitive symmetric cryptography. However, many S-boxes implementations rely on lookup tables, which can lead to inefficient performance and resource utilization in hardware. In this paper, we present an optimized bit-slice implementation of an 8-bit S-box based on a butterfly structure, as introduced in [1]. An implementation approach is introduced, which optimizes the logical operations within the Boolean functions of the 4-bit cryptographic components that form the considered S-box. The results show that this implementation requires only 191 logic operations. Furthermore, evaluations were conducted on a block cipher to demonstrate the effectiveness of the proposed S-box.