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Chia-Yu Hsu,Daniel E. Singer,Hooman Kamel,Yi-Ling Wu,Pei-Chun Chen,Jiann-Der Lee,Meng Lee,Bruce Ovbiagele 대한뇌졸중학회 2019 Journal of stroke Vol.21 No.2
Background and Purpose Preceding episodes of paroxysmal atrial fibrillation (AF) among stroke patients can be easily overlooked in routine clinical practice. We aim to determine whether an unrecognized history of paroxysmal AF is associated with an increased risk of recurrent stroke. Methods We retrospectively identified all adult patients hospitalized with a primary diagnosis of ischemic stroke who had no AF diagnosis on their discharge records, using the Taiwan National Health Insurance Research Database between January 2001 and December 2012. Patients were categorized into two groups: unrecognized AF history and no AF. Patients with unrecognized AF history were defined as having documented AF preceding the index ischemic stroke hospitalization, but not recording at the index ischemic stroke. Primary endpoint was recurrent stroke within 1 year after the index stroke. Results Among 203,489 hospitalized ischemic stroke patients without AF diagnosed at discharge, 6,731 patients (3.3%) had an unrecognized history of prior transient AF. Patients with an unrecognized AF history, comparing to those without AF, had higher adjusted risk of all recurrent stroke ([original cohort: hazard ratio (HR), 1.41; 95% confidence interval [CI], 1.30 to 1.53], [matched cohort: HR, 1.51; 95% CI, 1.37 to 1.68]) and recurrent ischemic stroke ([original cohort: HR, 1.42; 95% CI, 1.30 to 1.55], [matched cohort: HR, 1.56; 95% CI, 1.40 to 1.74]) during the 1-year follow-up period. Conclusions Unrecognized history of AF among patients discharged after an index ischemic stroke hospitalization is associated with higher recurrent stroke risk. Careful history review to uncover a paroxysmal AF history is important for ischemic stroke patients.
Chia-Yu Hsu,Shao-Wen Chiu,Keun-Sik Hong,Jeffrey L. Saver,Yi-Ling Wu,Jiann-Der Lee,Meng Lee,Bruce Ovbiagele 대한뇌졸중학회 2018 Journal of stroke Vol.20 No.1
Background and Purpose Additional folic acid (FA) treatment appears to have a neutral effect on reducing vascular risk in countries that mandate FA fortification of food (e.g., USA and Canada). However, it is uncertain whether FA therapy reduces stroke risk in countries without FA food fortification. The purpose of this study was to comprehensively evaluate the efficacy of FA therapy on stroke prevention in countries without FA food fortification. Methods PubMed, EMBASE, and clinicaltrials.gov from January 1966 to August 2016 were searched to identify relevant studies. Relative risk (RR) with 95% confidence interval (CI) was used as a measure of the association between FA supplementation and risk of stroke, after pooling data across trials in a random-effects model. Results The search identified 13 randomized controlled trials (RCTs) involving treatment with FA that had enrolled 65,812 participants, all of which stroke was reported as an outcome measure. After all 13 RCTs were pooled, FA therapy versus control was associated with a lower risk of any future stroke (RR, 0.85; 95% CI, 0.77 to 0.95). FA alone or combination of FA and minimal cyanocobalamin (≤0.05 mg/day) was associated with a lower risk of future stroke (RR, 0.75; 95% CI, 0.66 to 0.86) whereas combination of FA and cyanocobalamin (≥0.4 mg/day) was not associated with a lower risk of future stroke (RR, 0.95; 95% CI, 0.86 to 1.05). Conclusions FA supplement reduced stroke in countries without mandatory FA food fortification. The benefit was found mostly in patients receiving FA alone or combination of FA and minimal cyanocobalamin.
Deubiquitination and Stabilization of PD-L1 by CSN5
Lim, Seung-Oe,Li, Chia-Wei,Xia, Weiya,Cha, Jong-Ho,Chan, Li-Chuan,Wu, Yun,Chang, Shih-Shin,Lin, Wan-Chi,Hsu, Jung-Mao,Hsu, Yi-Hsin,Kim, Taewan,Chang, Wei-Chao,Hsu, Jennifer L.,Yamaguchi, Hirohito,Ding Elsevier 2016 Cancer cell Vol.30 No.6
<P><B>Summary</B></P> <P>Pro-inflammatory cytokines produced in the tumor microenvironment lead to eradication of anti-tumor immunity and enhanced tumor cell survival. In the current study, we identified tumor necrosis factor alpha (TNF-α) as a major factor triggering cancer cell immunosuppression against T cell surveillance via stabilization of programmed cell death-ligand 1 (PD-L1). We demonstrated that COP9 signalosome 5 (CSN5), induced by NF-κB p65, is required for TNF-α-mediated PD-L1 stabilization in cancer cells. CSN5 inhibits the ubiquitination and degradation of PD-L1. Inhibition of CSN5 by curcumin diminished cancer cell PD-L1 expression and sensitized cancer cells to anti-CTLA4 therapy.</P> <P><B>Highlights</B></P> <P> <UL> <LI> TNF-α stabilizes cancer cell PD-L1 in response to chronic inflammation </LI> <LI> Activation of NF-κB by TNF-α induces CSN5 expression leading to PD-L1 stabilization </LI> <LI> CSN5 enzyme activity controls T cell suppression via PD-L1 deubiquitination </LI> <LI> Destabilization of PD-L1 by CSN5 inhibitor curcumin benefits anti-CTLA4 therapy </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>[DISPLAY OMISSION]</P>
Fabrication of Resistive Random Access Memory by Atomic Force Microscope Local Anodic Oxidation
Jeff T.H. Tsai,Chia-Yun Hsu,Chia-Hsiang Hsu 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.2
The fabrication of gallium, zinc and nickel oxide nanodots for application of resistive random access memory (RRAM) was demonstrated using the atomic force microscopy (AFM) local anodic oxidation technique. Thin metal ¯lms were deposited on indium tin oxide conductive glass substrates. In the atmospheric environment, using AFM equipped with an Ag-coated probe can generate metal oxide nanodots locally on the metal films. These nanodots act as an insulator layer in a single unit cell of the RRAM. The voltage-biased method allows devices to reset from a lowresistance state (LRS) to a high-resistance state (HRS) at 0.9 V. These results show the ability of the AFM local anodic oxidation to produce 50 nm NiO nanodots on glass substrates for potentially high-density RRAMs. As we developed the characteristics of the structure, we found that a lateral NiO nanobelt RRAM performs very low power operation from such experimental manufacturing process. Using a current-biased method, the lateral device switches from a HRS to a LRS with a low writing voltage of 0.64 V.
Chia-Ming Chang,Shun-Hsiang Hsu,Ting-Wei Chang 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1
Structural health monitoring (SHM) plays a vital role in the maintenance and operation of constructions. In recent years, autonomous inspection has received considerable attention because conventional monitoring methods are inefficient and expensive to some extent. To develop autonomous inspection, a potential approach of crack identification is needed to locate defects. Therefore, this study exploits two deep learning-based segmentation models, DeepLabv3+ and Mask R-CNN, for crack segmentation because these two segmentation models can outperform other similar models on public datasets. Additionally, impacts of label quality on model performance are explored to obtain an empirical guideline on the preparation of image datasets. The influence of image cropping and label refining are also investigated, and different strategies are applied to the dataset, resulting in six alternated datasets. By conducting experiments with these datasets, the highest mean Intersection-over-Union (mIoU), 75%, is achieved by Mask R-CNN. The rise in the percentage of annotations by image cropping improves model performance while the label refining has opposite effects on the two models. As the label refining results in fewer error annotations of cracks, this modification enhances the performance of DeepLabv3+. Instead, the performance of Mask R-CNN decreases because fragmented annotations may mistake an instance as multiple instances. To sum up, both DeepLabv3+ and Mask R-CNN are capable of crack identification, and an empirical guideline on the data preparation is presented to strengthen identification successfulness via image cropping and label refining.
Taiwan Report on Quitline Activities
Hsu, Pei-Ting,Chang, Chia-Wen,Chang, Te-Chung Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup2
Aiming at reducing smoking population, Taiwan government adopted a successful smoking cessation quitline model from California Smokers' Helpline, commissioned a private non-profit organization-Teacher Chang Foundation, which was well-known for its quality telephone counseling service-to set up Asia's first quitline, Taiwan Smokers' Helpline (TSH) in 2003. The establishment of the quitline is a significant progress for tobacco control in Taiwan, as it built up a cooperative model with smoking cessation clinics to increase the quit rate through assisting smokers to overcome their psychological obstacles while quitting smoking.
IPv6 DoS Attacks Detection Using Machine Learning Enhanced IDS in SDN/NFV Environment
Chia-Wei Tseng,Li-Fan Wu,Shih-Chun Hsu,Sheng Wang Yu 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
The rapid growth of IPv6 traffic makes security issues become more important. This paper proposes an IPv6 network security system that integrates signature-based Intrusion Detection Systems (IDS) and machine learning classification technologies to improve the accuracy of IPv6 denial-of-service (DoS) attacks detection. In addition, this paper has also enhanced IPv6 network security defense capabilities through software-defined networking (SDN) and network function virtualization (NFV) technologies. The experimental results prove that the detection and defense mechanisms proposed in this paper can effectively strengthen IPv6 network security.