Four novel mutations in the androgen receptor gene from Vietnamese patients with androgen insensitivity syndrome

Nguyen Thu Hien,Nguyen Duc Quan,Kim Lien Nguyen Thi,Thi Thanh Ngan Nguyen,Nguyen Thi Phuong Mai,Tran Ngoc Dung,Nguyen Huy Hoang 한국유전학회 2023 Genes & Genomics Vol.45 No.4

Background Androgens and androgen receptor (AR) are critical regulators of the masculinization process in male sexual development. The absence of a functioning AR results in the development of the androgen insensitivity syndrome (AIS), a rare disorder of sexual development (DSD) characterized by the external genitalia feminization, gynecomastia, and impaired spermatogenesis. Objective To determine the AR gene mutations associated with male DSD in four unrelated Vietnamese patients. Methods To detect the disease-causing mutations, whole exome sequencing (WES) was performed on four patients diagnosed with AIS. Sanger sequencing was then used for validation of the identified mutations. Finally, 12 web-based tools, three-dimensional protein modeling software, and the guidelines issued by the American College of Medical Genetics and Genomics were used to assess the potential pathogenicity of these mutations. Results Four distinct novel mutations, namely c.1834T > A (p.Cys612Ser), c.2122 C > G (p.Leu708Val), c.2630T > G (p.Phe877Cys), and c.2641 C > A (p.Leu881Met) in the AR gene, were identified in four AIS patients using WES. The in silico analysis results revealed that the Cys612, Leu708, Phe877, and Leu881 sites are important for an appropriate response to androgens of the AR, and mutation at these sites can have adverse effects on the AR functions, androgen–AR interaction, and AR signaling pathway. Conclusions WES and in silico analyses strongly suggested that four novel AR mutations are pathogenic and have led to the development of AIS in the four Vietnamese patients under consideration.

CePO4:Tb Nanoparticles: Preparation, Structure and Optical Properties

Nguyen Vu Thanh,Tran Kim Anh,Nguyen Quang Liem,Nguyen Huu Quan,Nguyen The Khoi 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.5

Nanocrystals of CePO4:Tb were prepared by reacting the corresponding metal chlorides, phos- phoric acid and trioctylamine at 200℃ in tris(2-ethylhexyl) phosphate (TEHP). The samples were characterized by X-ray diffraction and scanning electron microscopy (SEM). The photoluminescence (PL) and the absorption spectra of CePO4:Tb nanoparticles will be presented. The PL spectra are described by using the well-known 5D4 - 7FJ transitions (J = 6, 5, 4, 3 ···) of Tb3+ ions with the strongest emission at 543 nm for J = 5. The dependence of PL intensity on Tb3+ concentration has been investigated. Nanocrystals of CePO4:Tb were prepared by reacting the corresponding metal chlorides, phos- phoric acid and trioctylamine at 200℃ in tris(2-ethylhexyl) phosphate (TEHP). The samples were characterized by X-ray diffraction and scanning electron microscopy (SEM). The photoluminescence (PL) and the absorption spectra of CePO4:Tb nanoparticles will be presented. The PL spectra are described by using the well-known 5D4 - 7FJ transitions (J = 6, 5, 4, 3 ···) of Tb3+ ions with the strongest emission at 543 nm for J = 5. The dependence of PL intensity on Tb3+ concentration has been investigated.

Improving the drought tolerance in rice (Oryza sativa L.) by exogenous application of vanillic acid and p-hydroxybenzoic acid

Nguyen Thanh Quan,Do Tan Khang,Nguyen Van Quan,Truong Ngoc Minh,Tran Dang Xuan 한국작물학회 2017 한국작물학회 학술발표대회 논문집 Vol.2017 No.-

Improving the drought tolerance in rice (Oryza sativa L.) by exogenous application of vanillic acid and p-hydroxybenzoic acid

Nguyen Thanh Quan,Do Tan Khang,Nguyen Van Quan,Truong Ngoc Minh,Tran Dang Xuan 한국작물학회 2017 한국작물학회 학술발표대회 논문집 Vol.2017 No.-

Landscapes and Ecosystems of Tropical Limestone: Case Study of the Cat Ba Islands, Vietnam

Quan Nguyen Van,Thanh Tran Duc,Huy Dinh Van 한국생태학회 2010 Journal of Ecology and Environment Vol.33 No.1

The Cat Ba Islands in Hai Phong City, northern Vietnam, consist of a large limestone island with a maximum height of 322 m above sea level and 366 small limestone islets with a total area of about 180 km2. The islands are relicts of karst limestone mountains that became submerged during the Holocene transgression 7000 – 8000 year ago. The combination of the longtime karst process and recent marine processes in the monsoonal tropical zone has created a very diversity landscape on the Cat Ba Islands that can be divided into 3 habitat types with 16 forms. The first habitat type is the karst mountains and hills, including karst mountains and hills, karst valleys and dolines, karst lakes, karst caves, and old marine terraces. The second habitat type is the limestone island coast, including beaches, mangrove marshes, tidal flats, rocky coasts, marine notch caves, marine karst lakes, and bights. The third habitat type is karst plains submerged by the sea, including karst cones (fengcong) and towers (fengling), bedrock exposed on the seabed, sandy mud seabed, and submerged channels. Like the landscape, the biodiversity is also high in ecosystems composed of scrub cover – bare hills,rainy tropical forests, paddy fields and gardens, swamps, caves, beaches, mangrove forests, tidal flats, rocky coasts, marine krast lakes, coral reefs, hard bottoms, seagrass beds and soft bottoms. The ecosystems on the Cat Ba Islands that support very high species biodiversity include tropical evergreen rainforests, soft bottoms; coral reefs, mangrove forests, and marine karst lakes. A total of 2,380 species have been recorded in the Cat Ba Islands, included 741 species of terrestrial plants; 282 species of terrestrial animals; 30 species of mangrove plants; 287 species of phytoplankton; 79 species of seaweed; 79 species of zooplankton; 196 species of marine fishes; 154 species of corals; and 538 species of zoobenthos. Many of these species are listed in the Red Book of Vietnam as endangered species, included the white-headed or Cat Ba langur (Trachypithecus poliocephalus), a famous endemic species. Human activities have resulted in significantly changes to the landscape end ecosytems of the Cat Ba islands; however, many natural aspects of the islandsd have been preserved. For this reason, the Cat Ba Islands were recognized as a Biological Reserved Area by UNESCO in 2004.

A Novel Heuristic Algorithm for Online 3D Bin Packing

Thanh-Hung Nguyen,Viet-Thang Tran,Phan-Quan Doan,Thi-Thoa Mac 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

The paper presents a novel heuristic algorithm to solve the problem of automatically packing 3-dimensional boxes into containers. In this application, the collection of boxes is unknown, and a box must be packed immediately before the next box appears. The algorithm is developed based on the main and secondary data systems. The main data system describes the spaces that are large enough to fit a box. The secondary data system describes the small spaces that cannot accommodate boxes. The search algorithm based on these two data systems allows to reduce the workload of searching and is convenient in organizing and editing data systems. Experimental results show that this method is superior in terms of processing speed and packed volume ratio.

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

Quan, Tran Minh,Nguyen-Duc, Thanh,Jeong, Won-Ki IEEE 2018 IEEE transactions on medical imaging Vol.37 No.6

<P>Compressed sensing magnetic resonance imaging (CS-MRI) has provided theoretical foundations upon which the time-consuming MRI acquisition process can be accelerated. However, it primarily relies on iterative numerical solvers, which still hinders their adaptation in time-critical applications. In addition, recent advances in deep neural networks have shown their potential in computer vision and image processing, but their adaptation to MRI reconstruction is still in an early stage. In this paper, we propose a novel deep learning-based generative adversarial model, <I>RefineGAN</I>, for fast and accurate CS-MRI reconstruction. The proposed model is a variant of fully-residual convolutional autoencoder and generative adversarial networks (GANs), specifically designed for CS-MRI formulation; it employs deeper generator and discriminator networks with cyclic data consistency loss for faithful interpolation in the given under-sampled <TEX>$k$</TEX>-space data. In addition, our solution leverages a chained network to further enhance the reconstruction quality. <I>RefineGAN</I> is fast and accurate—the reconstruction process is extremely rapid, as low as tens of milliseconds for reconstruction of a <TEX>$256\times 256$</TEX> image, because it is one-way deployment on a feed-forward network, and the image quality is superior even for extremely low sampling rate (as low as 10%) due to the data-driven nature of the method. We demonstrate that <I>RefineGAN</I> outperforms the state-of-the-art CS-MRI methods by a large margin in terms of both running time and image quality via evaluation using several open-source MRI databases.</P>

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection

Nguyen-Duc, Thanh,Quan, Tran Minh,Jeong, Won-Ki Elsevier 2019 Medical image analysis Vol.53 No.-

<P><B>Abstract</B></P> <P>In this paper, we propose a novel image reconstruction algorithm using multi-scale 3D convolutional sparse coding and a spectral decomposition technique for highly undersampled dynamic Magnetic Resonance Imaging (MRI) data. The proposed method recovers high-frequency information using a shared 3D convolution-based dictionary built progressively during the reconstruction process in an unsupervised manner, while low-frequency information is recovered using a total variation-based energy minimization method that leverages temporal coherence in dynamic MRI. Additionally, the proposed 3D dictionary is built across three different scales to more efficiently adapt to various feature sizes, and elastic net regularization is employed to promote a better approximation to the sparse input data. We also propose an automatic parameter selection technique based on a genetic algorithm to find optimal parameters for our numerical solver which is a variant of the alternating direction method of multipliers (ADMM). We demonstrate the performance of our method by comparing it with state-of-the-art methods on 15 single-coil cardiac, 7 single-coil DCE, and a multi-coil brain MRI datasets at different sampling rates (12.5%, 25% and 50%). The results show that our method significantly outperforms the other state-of-the-art methods in reconstruction quality with a comparable running time and is resilient to noise.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Convolutional dictionary reconstructs high-frequency component of MRI images well. </LI> <LI> Temporal total variation reconstructs low-frequency component of MRI images well. </LI> <LI> Multi-scale dictionary improves MRI reconstruction quality. </LI> <LI> Elastic net regularization works better than L1 or L2 regularization only. </LI> <LI> Genetic algorithm automatically finds optimal parameters for MRI reconstruction. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

SW Architecture Design for Video Content Analytics in DM8148-based Smart IP Network Camera

Thanh Binh Nguyen,Tae in Seol,Cheng-Guang Quan,Sun-Tae Chung,HoSeok Kang,Seongwon Cho 한국통신학회 2013 한국통신학회 학술대회논문집 Vol.2013 No.1

DM8148 is a high-performance digital media multi-core SOC processor which supports 4 core CPUs (upto 1GHZ ARM Cortex-A8, dual ARM Cortex-M3, upto 750㎒ C674x DSP) as well as various peripherals s uch a s v ideo input/output interface, Ethernet, USB, Serial, and etc., so that it is popularly adopted for high-performance IPNC(IP network camera). TI designs and provides a software framework, Multi-Channel FrameWork(McFW) for this powerful multi-core DM8148 which supports development of efficient and flexible multi-core real-time processing through links and chains. In this paper, we describe our study for an effective SW architecture design for VCA support using McFW for DM8148-based IPNC. VCA is designed and implemented as a link running on DSP, and video data captured from M3 core is designed to be passed over VCA link through a chain. The exchange of VCA-related information (configuration and command for VCA, and meta data results of VCA processing) between remote clients and the smart IPNC is designed to be compatible with ONVIF standard. Current implementation shows that the design works effectively.

Reproductive and Growth Parameters of the Razor Clam, Cultellus maximus (Gmelin, 1791), in Southern Vietnam

Quan T. Lai,Vu Anh Tuan,Dinh Kim Dieu,Alexander B. Orfinger,Ngo Minh Ly,Nguyen Thanh Ha,Trinh Truong Giang 한국해양과학기술원 2022 Ocean science journal Vol.57 No.4

This study aimed to analyze the sex ratio, spawning seasons, length at first maturity, length distribution, length–weight relationship, and relative condition factor of Cultellus maximus (Gmelin, 1791) in Southern Vietnam. A total of 1037 individuals of C. maximus were collected at 3 sampling sites from June, 2019 to June, 2020. The sex ratio was found to be female biased in Can Gio and male biased in Phu Tan and Ngoc Hien. The clam spawns throughout the year, peaking at Q2 and Q3 during the rainy season. Pooled length at first maturity was 10.12 cm (9.65–10.49 cm CI 95%, P-value < 2.2·10–16). The length–weight relationship indicates positive allometric growth. This study suggests that imposing a minimum harvest size limit on C. maximus using the length at first maturity as reference and with harvest seasons in Q1 in Ngoc Hien and Can Gio and Q2 or Q3 in Phu Tan would be ideal for consumption of this species.