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33 results on '"Hu, Jiangqi"'

1. Cloud-Based Federation Framework and Prototype for Open, Scalable, and Shared Access to NextG and IoT Testbeds

Author

McManus, Maxwell, Rinchen, Tenzin, Dey, Annoy, Thota, Sumanth, Zhang, Zhaoxi, Hu, Jiangqi, Wang, Xi, Ji, Mingyue, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Medley, Michael, and Guan, Zhangyu

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Networking and Internet Architecture
Abstract

In this work, we present a new federation framework for UnionLabs, an innovative cloud-based resource-sharing infrastructure designed for next-generation (NextG) and Internet of Things (IoT) over-the-air (OTA) experiments. The framework aims to reduce the federation complexity for testbeds developers by automating tedious backend operations, thereby providing scalable federation and remote access to various wireless testbeds. We first describe the key components of the new federation framework, including the Systems Manager Integration Engine (SMIE), the Automated Script Generator (ASG), and the Database Context Manager (DCM). We then prototype and deploy the new Federation Plane on the Amazon Web Services (AWS) public cloud, demonstrating its effectiveness by federating two wireless testbeds: i) UB NeXT, a 5G-and-beyond (5G+) testbed at the University at Buffalo, and ii) UT IoT, an IoT testbed at the University of Utah. Through this work we aim to initiate a grassroots campaign to democratize access to wireless research testbeds with heterogeneous hardware resources and network environment, and accelerate the establishment of a mature, open experimental ecosystem for the wireless community. The API of the new Federation Plane will be released to the community after internal testing is completed.

Published
2024

3. Digital Twin-Enabled Domain Adaptation for Zero-Touch UAV Networks: Survey and Challenges

Author

McManus, Maxwell, Cui, Yuqing, Josh, Zhang, Hu, Jiangqi, Moorthy, Sabarish Krishna, Guan, Zhangyu, Mastronarde, Nicholas, Bentley, Elizabeth Serena, and Medley, Michael

Subjects
Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Systems and Control
Abstract

In existing wireless networks, the control programs have been designed manually and for certain predefined scenarios. This process is complicated and error-prone, and the resulting control programs are not resilient to disruptive changes. Data-driven control based on Artificial Intelligence and Machine Learning (AI/ML) has been envisioned as a key technique to automate the modeling, optimization and control of complex wireless systems. However, existing AI/ML techniques rely on sufficient well-labeled data and may suffer from slow convergence and poor generalizability. In this article, focusing on digital twin-assisted wireless unmanned aerial vehicle (UAV) systems, we provide a survey of emerging techniques that can enable fast-converging data-driven control of wireless systems with enhanced generalization capability to new environments. These include SLAM-based sensing and network softwarization for digital twin construction, robust reinforcement learning and system identification for domain adaptation, and testing facility sharing and federation. The corresponding research opportunities are also discussed.

Published
2022

8. Gingipain and oncostatin M synergistically disrupt kidney tight junctions in periodontitis‐associated acute kidney injury

Author

Wei, Wei, Sun, Jing, Ji, Zhaoxin, Hu, Jiangqi, and Jiang, Qingsong

Abstract

Acute kidney injury (AKI) is characterized by rapid renal decline. Periodontitis, a chronic oral inflammatory disease, is increasingly associated with renal dysfunction. Although periodontitis is recognized as a contributor to kidney damage, the mechanisms linking it to AKI remain unclear. This study explored the effects of Porphyromonas gingivalis(P. gingivalis) W83‐infected periodontitis on AKI in C57BL/6J mice, using ischemia‐reperfusion injury 55 days post‐infection. Gingipain inhibitors, KYT‐1 and KYT‐36, were applied. Detection of P. gingivaliswas performed using quantitative real‐time polymerase chain reaction (qRT‐PCR) and PCR, while transcriptome sequencing, qRT‐PCR, immunohistochemistry, and immunofluorescence staining assessed renal damage. In vitro, HK‐2 cells were exposed to P. gingivalisat a multiplicity of infection of 10 for 48 h, with inhibition by gingipain or oncostatin M (OSM). Disruption of tight junctions (TJs) was quantified using qRT‐PCR, transepithelial electrical resistance, and cell counting kit‐8 assays. Periodontitis worsened AKI, linked to P. gingivalisinfection and renal TJ disruption in the kidney. P. gingivalisinfection activated OSM expression, which correlated positively with gingipain. Significantly, OSM and gingipain might collaboratively contribute to the damage of renal TJs, with the reduced expression of TJ proteins. Suppressing gingipain activity presented itself as a protective strategy against the destruction of TJs and the attendant worsening of AKI due to periodontitis. Our study enhances the understanding of the interplay between periodontitis and AKI, highlighting the harmful impact of P. gingivalisin AKI.

Published
2024
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9. Cognitive decline in Sprague–Dawley rats induced by neuroplasticity changes after occlusal support loss.

Author

Wang, Xiaoyu, Pang, Qian, Hu, Jiangqi, Luo, Bin, Lu, Yunping, Sun, Xu, Meng, Shixiang, and Jiang, Qingsong

Subjects
SPRAGUE Dawley rats, IMMOBILIZATION stress, NEURAL pathways, NEUROPLASTICITY, COGNITION disorders, BRAIN-derived neurotrophic factor
Abstract

Background: Tooth loss is closely related to cognitive impairment, especially affecting cognitive functions involving hippocampus. The most well‐known function of the hippocampus is learning and memory, and the mechanism behind is neuroplasticity, which strongly depends on the level of brain‐derived neurotrophic factor (BDNF). While research has delved into the possible mechanisms behind the loss of teeth leading to cognitive dysfunction, there are few studies on the plasticity of sensory neural pathway after tooth loss, and the changes in related indicators of synaptic plasticity still need to be further explored. Methods: In this study, the bilateral maxillary molars were extracted in Sprague–Dawley rats of two age ranges (young and middle age) to establish occlusal support loss model; then, the spatial cognition was tested by Morris Water Maze (MWM). Quantitative real‐time PCR (qPCR) and Western Blotting (WB) were used to detect BDNF, AKT, and functional proteins (viz., PSD95 and NMDAR) of hippocampal synapses. Golgi staining was used to observe changes in ascending nerve pathway. IF was used to confirm the location of BDNF and AKT expressed in hippocampus. Results: MWM showed that the spatial cognitive level of rats dropped after occlusal support loss. qPCR, WB, and IF suggested that the BDNF/AKT pathway was down‐regulated in the hippocampus. Golgi staining showed the neurons of ascending sensory pathway decreased in numbers. Conclusion: Occlusal support loss caused plastic changes in ascending nerve pathway and induced cognitive impairment in rats by down‐regulating BDNF and synaptic plasticity. [ABSTRACT FROM AUTHOR]

Published
2024
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13. A Mobility-Resilient Spectrum Sharing Framework for Operating Wireless UAVs in the 6 GHz Band

Author

Hu, Jiangqi, Moorthy, Sabarish Krishna, Harindranath, Ankush, Zhang, Zhaoxi, Zhao, Zhiyuan, Mastronarde, Nicholas, Bentley, Elizabeth Serena, Pudlewski, Scott, and Guan, Zhangyu

Abstract

To mitigate the long-term spectrum crunch problem, the FCC recently opened up the 6 GHz frequency band for unlicensed use. However, the existing spectrum sharing strategies cannot support the operation of access points in moving vehicles such as cars and UAVs. This is primarily because of the directionality-based spectrum sharing among the incumbent systems in this band and the high mobility of the moving vehicles, which together make it challenging to control the cross-system interference. In this paper, we propose SwarmShare, a mobility-resilient spectrum sharing framework for swarm UAV networking in the 6 GHz band. We first present a mathematical formulation of the SwarmShare problem, where the objective is to maximize the spectral efficiency of the UAV network by jointly controlling the flight and transmission power of the UAVs and their association with the ground users, under the interference constraints of the incumbent system. We find that there are no closed-form mathematical models that can be used to characterize the statistical behaviors of the aggregate interference from the UAVs to the incumbent system. Then we propose a data-driven three-phase spectrum sharing approach, including Initial Power Enforcement, Offline-dataset Guided Online Power Adaptation, and Reinforcement Learning-based UAV Optimization. We validate the effectiveness of SwarmShare through an extensive simulation campaign. Results indicate that, based on SwarmShare, the aggregate interference from the UAVs to the incumbent system can be effectively kept below the target level without requiring the real-time cross-system channel state information. The mobility resilience of SwarmShare is also validated in coexisting networks with no precise UAV location information.

Published
2023
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16. Tooth Loss-Associated Mechanisms That Negatively Affect Cognitive Function: A Systematic Review of Animal Experiments Based on Occlusal Support Loss and Cognitive Impairment

Author

Wang, Xiaoyu, Hu, Jiangqi, and Jiang, Qingsong

Subjects
cognitive dysfunction, General Neuroscience, tooth loss, oxidative stress, vascular dementia, neurodegenerative diseases, Neurosciences. Biological psychiatry. Neuropsychiatry, Alzheimer's disease, RC321-571
Abstract

BackgroundThere is a dose-response relationship between tooth loss and cognitive impairment, while tooth loss can be an independent risk factor for Alzheimer's disease (AD) and vascular dementia (VaD). Tooth loss can also accelerate nerve damage and neurodegeneration. However, the associated mechanisms remain poorly understood.ObjectiveTo conduct a systematic review of animal experiments on cognitive decline caused by the loss of occlusal support performed over the past 10 years and summarize the possible underlying mechanisms.Methods“Tooth Loss,” “Edentulous,” “Tooth Extraction and Memory Loss,” “Cognition Impairment,” and “Dementia” were used as keywords to search PubMed, Embase, SCI, ScienceDirect, and OpenGrey. A total of 1,317 related articles from 2010 to 2021 were retrieved, 26 of which were included in the review after screening according to predetermined inclusion and exclusion criteria. Comprehensiveness was evaluated using ARRIVE guidelines and the risk of bias was assessed using SYCLE'S risk of bias tool.ResultsThe putative mechanisms underlying the cognitive impairment resulting from the loss of occlusal support are as follows: (1) The mechanical pathway, whereby tooth loss leads to masticatory motor system functional disorders. Masticatory organ activity and cerebral blood flow decrease. With reduced afferent stimulation of peripheral receptors (such as in the periodontal membrane) the strength of the connections between neural pathways is decreased, and the corresponding brain regions degenerate; (2) the aggravation pathway, in which tooth loss aggravates existing neurodegenerative changes. Tooth loss can accelerates nerve damage through apoptosis and mitochondrial autophagy, increases amyloid deposition in the brain; and (3) the long-term inflammatory stress pathway, which involves metabolic disorders, microbial-gut-brain axis, the activation of microglia and astrocytes, and inflammatory cascade effect in central nervous system.ConclusionThe loss of occlusal support may lead to cognitive dysfunction through the reduction of chewing-related stimuli, aggravation of nerve damage, and long-term inflammatory stress.

Published
2022

27. Effect of a Single Injection of Benidipine-Impregnated Biodegradable Microcarriers on Bone and Gingival Healing at the Tooth Extraction Socket

Author

Imai, Mikio, primary, Ayukawa, Yasunori, additional, Yasunami, Noriyuki, additional, Furuhashi, Akihiro, additional, Takemura, Yoko, additional, Adachi, Naomi, additional, Hu, Jiangqi, additional, Zhou, Xudiyang, additional, Moriyama, Yasuko, additional, Atsuta, Ikiru, additional, Kurata, Kosaku, additional, and Koyano, Kiyoshi, additional

Published
2019
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28. Effect of titanium or zirconia implant abutments on epithelial attachments after ultrasonic cleaning.

Author

Jiangqi Hu, Ikiru Atsuta, Yasunori Ayukawa, Tianren Zhou, Ikue Narimatsu, Kiyoshi Koyano, Hu, Jiangqi, Atsuta, Ikiru, Ayukawa, Yasunori, Zhou, Tianren, Narimatsu, Ikue, and Koyano, Kiyoshi

Subjects
DENTAL implants, PERIODONTIUM, DENTURES, ANIMAL experimentation, DENTAL materials, RATS, METALS, MATERIALS testing, TITANIUM, ULTRASONICS
Abstract

Zirconia is widely employed as a material during dental implant work because of its superior esthetics. This study sought to evaluate the impact of titanium or zirconia implant abutments on epithelial attachments after ultrasonic cleaning. These implants were inserted into the extraction socket of rat maxillary first molars. Then, the length of the horseradish peroxidase (HRP) reaction was measured. In addition, titanium and zirconia disks were cleaned using an ultrasonic scaler, surface morphology changes were observed, and the number of epithelial cell attachments to the surface was measured. Ultimately, the surfaces of the titanium disks were easier to damage than those of the zirconia ones. There was no difference in the number of epithelial cell attachments between the two materials with the ultrasonic cleaning. The length of the HRP reaction was shorter on the zirconia implant abutment surface than on the titanium one after mechanical cleaning. In conclusion, zirconia is harder than titanium and a better choice for use in the epithelial tissue attachment. Zirconia is more suitable as a material for implant abutments than titanium. [ABSTRACT FROM AUTHOR]

Published
2020
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33. Injectable calcium phosphate cement integrated with BMSCs-encapsulated microcapsules for bone tissue regeneration.

Author

Yuan Y, Hu J, Shen L, He L, Zhu Y, Meng D, and Jiang Q

Abstract

Injectable calcium phosphate cement (CPC) offers significant benefits for the minimally invasive repair of irregular bone defects. However, the main limitations of CPC, including its deficiency in osteogenic properties and insufficient large porosity, require further investigation and resolution. In this study, alginate-chitosan-alginate (ACA) microcapsules were used to encapsulate and deliver rat bone mesenchymal stem cells (rBMSCs) into CPC paste, while a porous CPC scaffold was established to support cell growth. Our results demonstrated that the ACA cell microcapsules effectively protect the cells and facilitate their transport into the CPC paste, thereby enhancing cell viability post-implantation. Additionally, the ACA+CPC extracts were found to stimulate osteogenic differentiation of rBMSCs. Furthermore, results from a rat cranial parietal bone defect model showed that ACA microcapsules containing exogenous rBMSCs initially improved the in situ osteogenic potential of CPC within bone defects, providing multiple sites for bone growth. Over time, the osteogenic potential of the exogenous cells diminishes, yet the pores created by the microcapsules persist in supporting ongoing bone formation by recruiting endogenous cells to the osteogenic sites. In conclusion, the utilization of ACA loaded stem cell microcapsules satisfactorily facilitate osteogenesis and degradation of CPC, making it a promising scaffold for bone defect transplantation., (© 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.)

Published
2024
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