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  1. Book ; Online: An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese

    Nguyen, Tuan-Phong / Truong, Quoc-Tuan / Nguyen, Xuan-Nam / Le, Anh-Cuong

    2022  

    Abstract: Part-of-speech (POS) tagging plays an important role in Natural Language Processing (NLP). Its applications can be found in many NLP tasks such as named entity recognition, syntactic parsing, dependency parsing and text chunking. In the investigation ... ...

    Abstract Part-of-speech (POS) tagging plays an important role in Natural Language Processing (NLP). Its applications can be found in many NLP tasks such as named entity recognition, syntactic parsing, dependency parsing and text chunking. In the investigation conducted in this paper, we utilize the technologies of two widely-used toolkits, ClearNLP and Stanford POS Tagger, as well as develop two new POS taggers for Vietnamese, then compare them to three well-known Vietnamese taggers, namely JVnTagger, vnTagger and RDRPOSTagger. We make a systematic comparison to find out the tagger having the best performance. We also design a new feature set to measure the performance of the statistical taggers. Our new taggers built from Stanford Tagger and ClearNLP with the new feature set can outperform all other current Vietnamese taggers in term of tagging accuracy. Moreover, we also analyze the affection of some features to the performance of statistical taggers. Lastly, the experimental results also reveal that the transformation-based tagger, RDRPOSTagger, can run significantly faster than any other statistical tagger.
    Keywords Computer Science - Computation and Language
    Subject code 004
    Publishing date 2022-06-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Essential oil of the leaves of

    Tran, Tien Dong / Le, Anh Tuan / Van Tran, Dat / Le, Thang Quoc / Pham, Ty Viet

    Natural product research

    2024  , Page(s) 1–6

    Abstract: This study is focused on investigating the chemical composition and bioactive properties of the essential oil extracted ... ...

    Abstract This study is focused on investigating the chemical composition and bioactive properties of the essential oil extracted from
    Language English
    Publishing date 2024-04-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2185747-7
    ISSN 1478-6427 ; 1478-6419
    ISSN (online) 1478-6427
    ISSN 1478-6419
    DOI 10.1080/14786419.2024.2341286
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Exploration of Remarkably Potential Multitarget-Directed N-Alkylated-2-(substituted phenyl)-1

    Phan, Ngoc-Kim-Ngan / Huynh, Thi-Kim-Chi / Nguyen, Hoang-Phuc / Le, Quoc-Tuan / Nguyen, Thi-Cam-Thu / Ngo, Kim-Khanh-Huy / Nguyen, Thi-Hong-An / Ton, Khoa Anh / Thai, Khac-Minh / Hoang, Thi-Kim-Dung

    ACS omega

    2023  Volume 8, Issue 31, Page(s) 28733–28748

    Abstract: Improving lipophilicity for drugs to penetrate the lipid membrane and decreasing bacterial and fungal coinfections for patients with cancer pose challenges in the drug development process. Here, a series of new N-alkylated-2-(substituted phenyl)- ... ...

    Abstract Improving lipophilicity for drugs to penetrate the lipid membrane and decreasing bacterial and fungal coinfections for patients with cancer pose challenges in the drug development process. Here, a series of new N-alkylated-2-(substituted phenyl)-1
    Language English
    Publishing date 2023-07-28
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c03530
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Chemical composition and acetylcholinesterase inhibitory activity of essential oil from the leaves of

    Doan, Tuan Quoc / Dinh, Dien / Nam Tran, Thang / Quynh Dinh Nguyen, Phu / Bao Hoai Nguyen, Chau / Trong Le, Nhan / Vo, Hung Quoc / Ho, Duc Viet / Tuan, Anh Le / Nguyen, Hoai Thi / Ogunwande, Isiaka A

    Natural product research

    2023  , Page(s) 1–5

    Abstract: The present study provides the first information on the chemical composition and acetylcholinesterase inhibitory activity of the essential oil (EO) from the leaves ... ...

    Abstract The present study provides the first information on the chemical composition and acetylcholinesterase inhibitory activity of the essential oil (EO) from the leaves of
    Language English
    Publishing date 2023-06-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2185747-7
    ISSN 1478-6427 ; 1478-6419
    ISSN (online) 1478-6427
    ISSN 1478-6419
    DOI 10.1080/14786419.2023.2227989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Comparative Experimental Design and Performance Analysis of Snort-Based Intrusion Detection System in Practical Computer Networks

    Imdadul Karim / Quoc-Tuan Vien / Tuan Anh Le / Glenford Mapp

    Computers, Vol 6, Iss 1, p

    2017  Volume 6

    Abstract: As one of the most reliable technologies, network intrusion detection system (NIDS) allows the monitoring of incoming and outgoing traffic to identify unauthorised usage and mishandling of attackers in computer network systems. To this extent, this paper ...

    Abstract As one of the most reliable technologies, network intrusion detection system (NIDS) allows the monitoring of incoming and outgoing traffic to identify unauthorised usage and mishandling of attackers in computer network systems. To this extent, this paper investigates the experimental performance of Snort-based NIDS (S-NIDS) in a practical network with the latest technology in various network scenarios including high data speed and/or heavy traffic and/or large packet size. An effective testbed is designed based on Snort using different muti-core processors, e.g., i5 and i7, with different operating systems, e.g., Windows 7, Windows Server and Linux. Furthermore, considering an enterprise network consisting of multiple virtual local area networks (VLANs), a centralised parallel S-NIDS (CPS-NIDS) is proposed with the support of a centralised database server to deal with high data speed and heavy traffic. Experimental evaluation is carried out for each network configuration to evaluate the performance of the S-NIDS in different network scenarios as well as validating the effectiveness of the proposed CPS-NIDS. In particular, by analysing packet analysis efficiency, an improved performance of up to 10% is shown to be achieved with Linux over other operating systems, while up to 8% of improved performance can be achieved with i7 over i5 processors.
    Keywords network security ; intrusion detection system ; Snort ; parallel processing ; network traffic monitoring ; experimental performance evaluation ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 303
    Language English
    Publishing date 2017-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification.

    Binh, Le Nguyen / Nhu, Nguyen Thanh / Vy, Vu Pham Thao / Son, Do Le Hoang / Hung, Truong Nguyen Khanh / Bach, Nguyen / Huy, Hoang Quoc / Tuan, Le Van / Le, Nguyen Quoc Khanh / Kang, Jiunn-Horng

    Journal of imaging informatics in medicine

    2024  Volume 37, Issue 2, Page(s) 725–733

    Abstract: Common pediatric distal forearm fractures necessitate precise detection. To support prompt treatment planning by clinicians, our study aimed to create a multi-class convolutional neural network (CNN) model for pediatric distal forearm fractures, guided ... ...

    Abstract Common pediatric distal forearm fractures necessitate precise detection. To support prompt treatment planning by clinicians, our study aimed to create a multi-class convolutional neural network (CNN) model for pediatric distal forearm fractures, guided by the AO Foundation/Orthopaedic Trauma Association (AO/ATO) classification system for pediatric fractures. The GRAZPEDWRI-DX dataset (2008-2018) of wrist X-ray images was used. We labeled images into four fracture classes (FRM, FUM, FRE, and FUE with F, fracture; R, radius; U, ulna; M, metaphysis; and E, epiphysis) based on the pediatric AO/ATO classification. We performed multi-class classification by training a YOLOv4-based CNN object detection model with 7006 images from 1809 patients (80% for training and 20% for validation). An 88-image test set from 34 patients was used to evaluate the model performance, which was then compared to the diagnosis performances of two readers-an orthopedist and a radiologist. The overall mean average precision levels on the validation set in four classes of the model were 0.97, 0.92, 0.95, and 0.94, respectively. On the test set, the model's performance included sensitivities of 0.86, 0.71, 0.88, and 0.89; specificities of 0.88, 0.94, 0.97, and 0.98; and area under the curve (AUC) values of 0.87, 0.83, 0.93, and 0.94, respectively. The best performance among the three readers belonged to the radiologist, with a mean AUC of 0.922, followed by our model (0.892) and the orthopedist (0.830). Therefore, using the AO/OTA concept, our multi-class fracture detection model excelled in identifying pediatric distal forearm fractures.
    Language English
    Publishing date 2024-02-02
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2948-2933
    ISSN (online) 2948-2933
    DOI 10.1007/s10278-024-00968-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Reinforced Data Sampling for Model Diversification

    Nguyen, Hoang D. / Vu, Xuan-Son / Truong, Quoc-Tuan / Le, Duc-Trong

    2020  

    Abstract: With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamentally suffer from evidence ambiguity and concept drift issues, thereby ... ...

    Abstract With the rising number of machine learning competitions, the world has witnessed an exciting race for the best algorithms. However, the involved data selection process may fundamentally suffer from evidence ambiguity and concept drift issues, thereby possibly leading to deleterious effects on the performance of various models. This paper proposes a new Reinforced Data Sampling (RDS) method to learn how to sample data adequately on the search for useful models and insights. We formulate the optimisation problem of model diversification $\delta{-div}$ in data sampling to maximise learning potentials and optimum allocation by injecting model diversity. This work advocates the employment of diverse base learners as value functions such as neural networks, decision trees, or logistic regressions to reinforce the selection process of data subsets with multi-modal belief. We introduce different ensemble reward mechanisms, including soft voting and stochastic choice to approximate optimal sampling policy. The evaluation conducted on four datasets evidently highlights the benefits of using RDS method over traditional sampling approaches. Our experimental results suggest that the trainable sampling for model diversification is useful for competition organisers, researchers, or even starters to pursue full potentials of various machine learning tasks such as classification and regression. The source code is available at https://github.com/probeu/RDS.
    Keywords Computer Science - Machine Learning ; Mathematics - Numerical Analysis ; Statistics - Machine Learning
    Subject code 310
    Publishing date 2020-06-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: 

    Quang, Bui Hong / Nguyen, Khang Sinh / Le, Tuan Anh / Linh, Le Thi Mai / Nguyen, Quoc Luan / Ngo, Duy Hoang Vu / Wu, Lei / Neupane, Suman

    PhytoKeys

    2023  Volume 221, Page(s) 73–84

    Abstract: A new species ... ...

    Abstract A new species of
    Language English
    Publishing date 2023-03-09
    Publishing country Bulgaria
    Document type Journal Article
    ZDB-ID 2579891-1
    ISSN 1314-2003 ; 1314-2011
    ISSN (online) 1314-2003
    ISSN 1314-2011
    DOI 10.3897/phytokeys.221.95895
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Preparation of water-soluble chitosan oligosaccharides by oxidative hydrolysis of chitosan powder with hydrogen peroxide.

    Nguyen, Trong Hoanh Phong / Le, Nghiem Anh Tuan / Tran, Phuoc Tho / Bui, Duy Du / Nguyen, Quoc Hien

    Heliyon

    2023  Volume 9, Issue 9, Page(s) e19565

    Abstract: Chitosan (CS) is only soluble in weak acid medium, thereby limiting its wide utilisation in the field of biomedicine, food, and agriculture. In this report, we present a method for preparing water-soluble CS oligosaccharides (COSs) at high concentration ( ...

    Abstract Chitosan (CS) is only soluble in weak acid medium, thereby limiting its wide utilisation in the field of biomedicine, food, and agriculture. In this report, we present a method for preparing water-soluble CS oligosaccharides (COSs) at high concentration (∼10%, w/v) via the oxidative hydrolysis of CS powder with molecular weight (Mw) ∼90,000 g/mol) in 2% H
    Language English
    Publishing date 2023-08-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e19565
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  10. Article: Minimally Invasive Treatment of Chyle Leak After Thyroidectomy and Cervical Lymph Node Dissection in Patients with Thyroid Carcinoma: Results of a Study Involving 36 Patients.

    Cuong, Nguyen Ngoc / Hoan, Le / Tra My, Thieu Thi / Luu, Doan Tien / Tuan Linh, Le / Canh, Pham Hong / Tinh, Trieu Quoc / Khanh Chi, Tran Nguyen / Trung, Nguyen Quang / Hoa, Tran Quoc

    Therapeutics and clinical risk management

    2024  Volume 20, Page(s) 75–82

    Abstract: Objective: Chyle leak (CL) after head and neck surgery is a rare but well-known complication. In patients with high-output leakage, the treatment can be complicated. This study aims to report on a recent innovation in lymphatic intervention for treating ...

    Abstract Objective: Chyle leak (CL) after head and neck surgery is a rare but well-known complication. In patients with high-output leakage, the treatment can be complicated. This study aims to report on a recent innovation in lymphatic intervention for treating such patients.
    Materials and methods: A retrospective review of 36 patients with chyle leak after neck surgery for thyroid cancer was conducted to assess the efficacy of percutaneous lymphatic embolization and thoracic duct (TD) disruption.
    Results: Antegrade catheterization of the thoracic duct was achieved in 31 of 36 patients (86.1%). Therefore, embolization of the thoracic duct and thoracic duct branches was performed in 26 and 5 patients, respectively. In 5 cases of unsuccessful antegrade catheterization into the thoracic duct, transcervical access embolization was performed in 2 patients, and TD disruption (TDD) was performed in 3 patients. The pooled overall technical success rate of lymphatic embolization was 33/36 patients (91.7%). One patient who underwent thoracic duct embolization (TDE) with technical success (1/33 patients) but clinical failure had additional treatment directly sclerosing the TD under computed tomography scan. Cervical fluid collection sclerotherapy was done in 7 patients as an additional treatment. Resolution of the chyle leak after procedures was observed in all patients (100%). The mean time to resolution was 3 days (1-7 days). There was no complication intra and after procedures.
    Conclusion: TDE, selective TD branches embolization and TDD are safe and effective minimally invasive treatments for CL post-surgery for thyroid carcinoma. Sclerosing cervical fluid collection contributes to clinical success.
    Language English
    Publishing date 2024-02-09
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2186560-7
    ISSN 1178-203X ; 1176-6336
    ISSN (online) 1178-203X
    ISSN 1176-6336
    DOI 10.2147/TCRM.S446113
    Database MEDical Literature Analysis and Retrieval System OnLINE

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