Zobrazeno 1 - 10
of 3 567
pro vyhledávání: '"In Jeong, Dong"'
Autor:
He, Youwei, Lee, Jeong-Dong
In the ever-evolving landscape of technology, product innovation thrives on replacing outdated technologies with groundbreaking ones or through the ingenious recombination of existing technologies. Our study embarks on a revolutionary journey by gene
Externí odkaz:
http://arxiv.org/abs/2407.14537
This study proposes an effective method to predict technology development from an evolutionary perspective. Product evolution is the result of technological evolution and market selection. A phylogenetic network is the main method to study product ev
Externí odkaz:
http://arxiv.org/abs/2407.10206
Competitive Influence Maximization (CIM) involves entities competing to maximize influence in online social networks (OSNs). Current Deep Reinforcement Learning (DRL) methods in CIM rely on simplistic binary opinion models (i.e., an opinion is repres
Externí odkaz:
http://arxiv.org/abs/2404.18826
Autor:
Li, Changbin, Li, Kangshuo, Ou, Yuzhe, Kaplan, Lance M., Jøsang, Audun, Cho, Jin-Hee, Jeong, Dong Hyun, Chen, Feng
Deep neural networks (DNNs) have been shown to perform well on exclusive, multi-class classification tasks. However, when different classes have similar visual features, it becomes challenging for human annotators to differentiate them. This scenario
Externí odkaz:
http://arxiv.org/abs/2404.10980
Artificial neural networks (ANNs) have been broadly utilized to analyze various data and solve different domain problems. However, neural networks (NNs) have been considered a black box operation for years because their underlying computation and mea
Externí odkaz:
http://arxiv.org/abs/2310.01580
Autor:
Pallavali RojaRani, Guda Dinneswara Reddy, Degati Vijayalakshmi, Durbaka Vijaya Raghava Prasad, Jeong Dong Choi
Publikováno v:
Applied Microbiology, Vol 4, Iss 3, Pp 1247-1256 (2024)
Pseudomonas aeruginosa and Staphylococcus aureus are opportunistic bacteria frequently linked to burn wound infections. These bacteria can grow as biofilms, which increases their level of drug resistance to current antibiotics. The purpose of the pre
Externí odkaz:
https://doaj.org/article/1c3cc94ee34742b8abd4a550b4b8780e
Autor:
Guo, Zhen, Zhang, Qi, An, Xinwei, Zhang, Qisheng, Jøsang, Audun, Kaplan, Lance M., Chen, Feng, Jeong, Dong H., Cho, Jin-Hee
Due to various and serious adverse impacts of spreading fake news, it is often known that only people with malicious intent would propagate fake news. However, it is not necessarily true based on social science studies. Distinguishing the types of fa
Externí odkaz:
http://arxiv.org/abs/2302.10195
Autor:
Zhang, Qisheng, Guo, Zhen, Jøsang, Audun, Kaplan, Lance M., Chen, Feng, Jeong, Dong H., Cho, Jin-Hee
Proximal Policy Optimization (PPO) is a highly popular policy-based deep reinforcement learning (DRL) approach. However, we observe that the homogeneous exploration process in PPO could cause an unexpected stability issue in the training phase. To ad
Externí odkaz:
http://arxiv.org/abs/2212.06343
Autor:
Se-Young Jo, Jeong Dong Lee, Jeongsoo Won, Jiho Park, Taeyong Kweon, Seongyeon Jo, Joohyuk Sohn, Seung-Il Kim, Sangwoo Kim, Hyung Seok Park
Publikováno v:
iScience, Vol 27, Iss 8, Pp 110469- (2024)
Summary: This study investigates the molecular characteristics and therapeutic implications of the BRCA1 L1780P mutation, a rare variant prevalent among Korean hereditary breast cancer patients. Using patient-derived xenograft (PDX) models and cell l
Externí odkaz:
https://doaj.org/article/a7d202b4e24a4751966166cfef8184bf
Autor:
Sanghyun Park, Won-Ji Ryu, Tae Yeong Kim, Yumi Hwang, Hyun Ju Han, Jeong Dong Lee, Gun Min Kim, Joohyuk Sohn, Sang Kyum Kim, Min Hwan Kim, Joon Kim
Publikováno v:
Experimental and Molecular Medicine, Vol 56, Iss 4, Pp 987-1000 (2024)
Abstract Transcriptional programs governed by YAP play key roles in conferring resistance to various molecular-targeted anticancer agents. Strategies aimed at inhibiting YAP activity have garnered substantial interest as a means to overcome drug resi
Externí odkaz:
https://doaj.org/article/3db62ffb84a44c3ea216c7bf0d8d99a4