Zobrazeno 1 - 10
of 466
pro vyhledávání: '"Pham Hung Viet"'
Publikováno v:
Journal of Science: Advanced Materials and Devices, Vol 5, Iss 1, Pp 65-72 (2020)
We developed a multi-functional adsorbent with excellent adsorption capacity and low contact time for reactive blue (RB) 19 dye removal. A multi-functional film based on chitosan (CS) combined with nanosized MgO was prepared by solvent casting with m
Externí odkaz:
https://doaj.org/article/427160a3663949febffe29144eb66430
Autor:
Doan Van Hong Thien, Nguyen Thi Bich Thuyen, Tran Thi Bich Quyen, Nguyen Huu Chiem, Van Pham Dan Thuy, Pham Hung Viet
Publikováno v:
Vietnam Journal of Science, Technology and Engineering, Vol 63, Iss 1 (2021)
Nanorod hydroxyapatite (HA) was synthesised from eggshells by using a microwave-assisted technique. With eggshells and phosphoric acid as precursors, the reaction was carried out in a microwave with an irradiation power of 800 W for 45 minutes. The e
Externí odkaz:
https://doaj.org/article/f2001132934b4e3bb14af9b99bf86092
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in research se
Externí odkaz:
http://arxiv.org/abs/2402.11702
Autor:
Natsuyo Uchida, Hidenori Matsukami, Masayuki Someya, Nguyen Minh Tue, Le Huu Tuyen, Pham Hung Viet, Shin Takahashi, Shinsuke Tanabe, Go Suzuki
Publikováno v:
Emerging Contaminants, Vol 4, Iss 1, Pp 11-21 (2018)
Inappropriate e-waste-processing operation is a serious issue in developing countries since the early 2000's. Field research was conducted to clarify its influences and diffuse toxic substances in the environment at e-waste-processing sites in a vill
Externí odkaz:
https://doaj.org/article/7ff84e17adc04b3fa6fd5992e1bf5ac1
Autor:
Mohajer, Mohammad Mahdi, Aleithan, Reem, Harzevili, Nima Shiri, Wei, Moshi, Belle, Alvine Boaye, Pham, Hung Viet, Wang, Song
We introduce SkipAnalyzer, a large language model (LLM)-powered tool for static code analysis. SkipAnalyzer has three components: 1) an LLM-based static bug detector that scans source code and reports specific types of bugs, 2) an LLM-based false-pos
Externí odkaz:
http://arxiv.org/abs/2310.18532
In this work, we set out to conduct the first ground-truth empirical evaluation of state-of-the-art DL fuzzers. Specifically, we first manually created an extensive DL bug benchmark dataset, which includes 627 real-world DL bugs from TensorFlow and P
Externí odkaz:
http://arxiv.org/abs/2310.06912
Recently, many Deep Learning fuzzers have been proposed for testing of DL libraries. However, they either perform unguided input generation (e.g., not considering the relationship between API arguments when generating inputs) or only support a limite
Externí odkaz:
http://arxiv.org/abs/2306.03269
Autor:
Masayuki Someya, Go Suzuki, Alin C. Ionas, Nguyen Minh Tue, Fuchao Xu, Hidenori Matsukami, Adrian Covaci, Le Huu Tuyen, Pham Hung Viet, Shin Takahashi, Shinsuke Tanabe, Hidetaka Takigami
Publikováno v:
Emerging Contaminants, Vol 2, Iss 2, Pp 58-65 (2016)
This study investigated the contamination status of 21 emerging flame retardants (FRs) in soils (n = 32) and river sediments (n = 8) from an e-waste recycling (EWR) site in the northern part of Vietnam. Among analyzed FRs, higher levels of decabromod
Externí odkaz:
https://doaj.org/article/5caaf92b765349a08cbe3b7bef826503
Autor:
Go Suzuki, Masayuki Someya, Hidenori Matsukami, Nguyen Minh Tue, Natsuyo Uchida, Le Huu Tuyen, Pham Hung Viet, Shin Takahashi, Shinsuke Tanabe, Abraham Brouwer, Hidetaka Takigami
Publikováno v:
Emerging Contaminants, Vol 2, Iss 2, Pp 98-108 (2016)
The management of electronic waste (e-waste), which can be a source of both useful materials and toxic substances, depending on the processing method, is important for promoting material cycling. In this study, we used the dioxin-responsive chemical-
Externí odkaz:
https://doaj.org/article/61262d2babb247d69ef5f607738da78f
Autor:
Hidenori Matsukami, Go Suzuki, Nguyen Minh Tue, Le Huu Tuyen, Pham Hung Viet, Shin Takahashi, Shinsuke Tanabe, Hidetaka Takigami
Publikováno v:
Emerging Contaminants, Vol 2, Iss 2, Pp 89-97 (2016)
Using electrospray ionization tandem mass spectrometry combined with liquid chromatography (LC), a novel analytical method was developed to quantify eight monomeric organophosphorus flame retardants (m-PFRs) and three oligomeric organophosphorus flam
Externí odkaz:
https://doaj.org/article/1c833d21ae7344dc94c03fd2bea0c3df