| 41. |
- Nguyen, C. T., et al.
(författare)
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A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing : Part I Fundamentals and Enabling Technologies
- 2020
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Ingår i: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 8, s. 153479-153507
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Tidskriftsartikel (refereegranskat)abstract
- Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses such as COVID-19. By minimizing the close physical contact among people, we can reduce the chances of catching the virus and spreading it across the community. This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In this Part I, we provide a comprehensive background of social distancing including basic concepts, measurements, models, and propose various practical social distancing scenarios. We then discuss enabling wireless technologies which are especially effect- in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. The companion paper Part II surveys other emerging and related technologies, such as machine learning, computer vision, thermal, ultrasound, etc., and discusses open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice.
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| 42. |
- Nguyen, C. T., et al.
(författare)
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A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part II : Emerging Technologies and Open Issues
- 2020
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Ingår i: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 8, s. 154209-154236
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Tidskriftsartikel (refereegranskat)abstract
- This two-part paper aims to provide a comprehensive survey on how emerging technologies, e.g., wireless and networking, artificial intelligence (AI) can enable, encourage, and even enforce social distancing practice. In Part I, an extensive background of social distancing is provided, and enabling wireless technologies are thoroughly surveyed. In this Part II, emerging technologies such as machine learning, computer vision, thermal, ultrasound, etc., are introduced. These technologies open many new solutions and directions to deal with problems in social distancing, e.g., symptom prediction, detection and monitoring quarantined people, and contact tracing. Finally, we discuss open issues and challenges (e.g., privacy-preserving, scheduling, and incentive mechanisms) in implementing social distancing in practice. As an example, instead of reacting with ad-hoc responses to COVID-19-like pandemics in the future, smart infrastructures (e.g., next-generation wireless systems like 6G, smart home/building, smart city, intelligent transportation systems) should incorporate a pandemic mode in their standard architectures/designs.
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| 43. |
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| 44. |
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| 45. |
- Nguyen, Quang Linh, et al.
(författare)
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Vascular PDGFR-alpha protects against BBB dysfunction after stroke in mice
- 2021
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Ingår i: Angiogenesis. - : Springer. - 0969-6970 .- 1573-7209. ; 24, s. 35-46
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Tidskriftsartikel (refereegranskat)abstract
- Blood-brain barrier (BBB) dysfunction underlies the pathogenesis of many neurological diseases. Platelet-derived growth factor receptor-alpha (PDGFR alpha) induces hemorrhagic transformation (HT) downstream of tissue plasminogen activator in thrombolytic therapy of acute stroke. Thus, PDGFs are attractive therapeutic targets for BBB dysfunction. In the present study, we examined the role of PDGF signaling in the process of tissue remodeling after middle cerebral arterial occlusion (MCAO) in mice. Firstly, we found that imatinib increased lesion size after permanent MCAO in wild-type mice. Moreover, imatinib-induced HT only when administrated in the subacute phase of MCAO, but not in the acute phase. Secondly, we generated genetically mutated mice (C-KO mice) that showed decreased expression of perivascular PDGFR alpha. Additionally, transient MCAO experiments were performed in these mice. We found that the ischemic lesion size was not affected; however, the recruitment of PDGFR alpha/type I collagen-expressing perivascular cells was significantly downregulated, and HT and IgG leakage was augmented only in the subacute phase of stroke in C-KO mice. In both experiments, we found that the expression of tight junction proteins and PDGFR beta-expressing pericyte coverage was not significantly affected in imatinib-treated mice and in C-KO mice. The specific implication of PDGFR alpha signaling was suggestive of protective effects against BBB dysfunction during the subacute phase of stroke. Vascular TGF-beta 1 expression was downregulated in both imatinib-treated and C-KO mice, along with sustained levels of MMP9. Therefore, PDGFR alpha effects may be mediated by TGF-beta 1 which exerts potent protective effects in the BBB.
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| 46. |
- Nguyen, Tra My, et al.
(författare)
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Effects of Coumarins from Roots of Paramignya scandens (Griff.) Craib on LPS-induced IL-1β and IL-10 Cytokine Production in RAW 264.7 Macrophages
- 2024
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Ingår i: Natural Product Sciences. - 1226-3907. ; 30:1, s. 30-38
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Tidskriftsartikel (refereegranskat)abstract
- Based on our previous study, we evaluated the modulatory effects on LPS-induced IL-1β and IL-10 cytokine production in RAW 264.7 macrophages of several medicinal herbs, including P. scandens. The results showed that P. scandens extract showed significant effects on LPS-induced IL-1β and IL-10 cytokine production in RAW 264.7 macrophages. Therefore, in the current research, we focused on the P. scandens sample. Cytokine production effects bioassay-guided isolation of ethyl acetate fraction of 70% ethanol extract from roots of Paramignya scandens (XL) obtained seven coumarins (1–7). Their chemical structures were identified using spectroscopic methods (NMR and MS) and compared with those previously published data to be xanthyletin (1), luvangetin (2), clausenidin (3), nordentatin (4), dentatin (5), clausarin (6), and anisocoumarin E (7). This study represents the first report on the presence of compounds 3, 6, and 7 in the Paramignya genus and compounds 1 and 2 in XL. All isolates (1–7) exhibited significant inhibition of LPS-induced interleukin (IL)-1β production compared to the LPS 5 ng/mL control group, with IL-1β concentrations ranging from 42.77 to 69.76 pg/mL. Additionally, the IL-10 production induced by compounds 1‒7 in LPS-stimulated RAW 264.7 macrophages ranged from 175.98 to 321.56 pg/mL, demonstrating a marked increase as compared to the LPS 5 ng/mL control group. The stimulatory effect on IL-10 production and inhibitory effect on IL-1β production of compounds 1, 2, and 6 gradually increased with the test concentration in both RAW 264.7 macrophages and LPS-induced RAW 264.7 macrophages. Compounds 1, 2, and 6 inhibited IL-1β production in LPS-induced RAW 264.7 macrophages with IC50 values of 10.70 ± 1.18 µM, 8.57 ± 1.05 µM, and 17.43 ± 1.05 µM, respectively. These findings highlight the potential of all the compounds derived from P. scandens roots in inducing IL-1β and IL-10 cytokines activity in LPS-stimulated RAW 264.7 macrophages. The results contributed to expanding the knowledge of the chemistry and bioactivities of P. scandens and provided valuable data for future investigations on this species.
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| 47. |
- Nguyen, Thanh N, et al.
(författare)
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Global Impact of the COVID-19 Pandemic on Stroke Volumes and Cerebrovascular Events: A 1-Year Follow-up.
- 2023
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Ingår i: Neurology. - 1526-632X. ; 100:4
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Tidskriftsartikel (refereegranskat)abstract
- Declines in stroke admission, IV thrombolysis (IVT), and mechanical thrombectomy volumes were reported during the first wave of the COVID-19 pandemic. There is a paucity of data on the longer-term effect of the pandemic on stroke volumes over the course of a year and through the second wave of the pandemic. We sought to measure the effect of the COVID-19 pandemic on the volumes of stroke admissions, intracranial hemorrhage (ICH), IVT, and mechanical thrombectomy over a 1-year period at the onset of the pandemic (March 1, 2020, to February 28, 2021) compared with the immediately preceding year (March 1, 2019, to February 29, 2020).We conducted a longitudinal retrospective study across 6 continents, 56 countries, and 275 stroke centers. We collected volume data for COVID-19 admissions and 4 stroke metrics: ischemic stroke admissions, ICH admissions, IVT treatments, and mechanical thrombectomy procedures. Diagnoses were identified by their ICD-10 codes or classifications in stroke databases.There were 148,895 stroke admissions in the 1 year immediately before compared with 138,453 admissions during the 1-year pandemic, representing a 7% decline (95% CI [95% CI 7.1-6.9]; p < 0.0001). ICH volumes declined from 29,585 to 28,156 (4.8% [5.1-4.6]; p < 0.0001) and IVT volume from 24,584 to 23,077 (6.1% [6.4-5.8]; p < 0.0001). Larger declines were observed at high-volume compared with low-volume centers (all p < 0.0001). There was no significant change in mechanical thrombectomy volumes (0.7% [0.6-0.9]; p = 0.49). Stroke was diagnosed in 1.3% [1.31-1.38] of 406,792 COVID-19 hospitalizations. SARS-CoV-2 infection was present in 2.9% ([2.82-2.97], 5,656/195,539) of all stroke hospitalizations.There was a global decline and shift to lower-volume centers of stroke admission volumes, ICH volumes, and IVT volumes during the 1st year of the COVID-19 pandemic compared with the prior year. Mechanical thrombectomy volumes were preserved. These results suggest preservation in the stroke care of higher severity of disease through the first pandemic year.This study is registered under NCT04934020.
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| 48. |
- Nguyen, Thuy Trinh, et al.
(författare)
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Multimodal machine learning for mental disorder detection : a scoping review
- 2023
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Ingår i: 27th international conference on knowledge based and intelligent information and engineering sytems (KES 2023). - : Elsevier. ; , s. 1458-1467
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Konferensbidrag (refereegranskat)abstract
- Recent advancements in machine learning and multimedia technologies have paved new ways for automatic medical diagnosis. In mental health, multimodal inputs such as visual and audible sensing data are promising to investigate the underlying mechanisms of many conditions, such as depression and bipolar disorders. With the increasing burden on healthcare systems, timely diagnosis of mental diseases using multiple modalities might benefit millions of people worldwide. This scoping review provides an exploratory overview of recent multimodal machine learning approaches for mental disorder screening. We also discuss a generalised end-to-end multimodal machine learning pipeline for future research and development of multimodal disease detection.
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| 49. |
- Pham, Thi Anh Mai, et al.
(författare)
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Evaluation of screening algorithms to detect rectal colonization with carbapenemase-producing Enterobacterales in a resource-limited setting
- 2024
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Ingår i: JAC - Antimicrobial Resistance. - : OXFORD UNIV PRESS. - 2632-1823. ; 6:3
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Tidskriftsartikel (refereegranskat)abstract
- Objectives To improve and rationalize the detection of carbapenemase-producing Enterobacterales (CPE) in rectal swabs in a high-prevalence and resource-constrained setting, addressing surveillance challenges typically encountered in laboratories with limited resources.Methods A point prevalence survey (PPS) was conducted on 15 August 2022, in a provincial children's hospital in northern Vietnam. Rectal swab samples of all admitted children were collected and plated on a selective medium for carbapenem-resistant Enterobacterales (CRE). Species identification and antimicrobial susceptibility testing (AST) were performed by MALDI-TOF, and VITEK2 XL and interpreted according to CLSI breakpoints (2022). Carbapenemases were detected by the carbapenem inactivation method (CIM) and quantitative real-time PCR (qRT-PCR).Results Rectal swab samples were obtained from 376 patients. Of 178 isolates growing on the CRE screening agar, 140 isolates were confirmed as Enterobacterales of which 118 (84.3%) isolates were resistant to meropenem and/or ertapenem. CIM and PCR showed that 90/118 (76.3%) were carbapenemase producers. Overall, 83/367 (22.6%) were colonized by CPE. Klebsiella pneumoniae, Escherichia coli and Enterobacter cloacae complex were the most common CPE detected, with NDM as the predominant carbapenemase (78/90; 86.7%). Phenotypic resistance to meropenem was the best predictor of CPE production (sensitivity 85.6%, specificity 100%) compared with ertapenem resistance (95.6% sensitivity, 36% specificity). CIM was 100% concordant with PCR in detecting carbapenemases.Conclusions These findings underscore the effectiveness of meropenem resistance as a robust indicator of the production of carbapenemases and the reliability of the CIM method to detect such carbapenemases in resource-limited settings where the performance of molecular methods is not possible.
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