Article
Infectious Diseases
James S. Molton, I. Russel Lee, Denis Bertrand, Ying Ding, Shirin Kalimuddin, David C. Lye, Niranjan Nagarajan, Yunn-Hwen Gan, Sophia Archuleta
Summary: The study found that hypermucoviscous Klebsiella pneumoniae could potentially be shared among household members, indicating a potential transmission risk of hypermucoviscous strains within households.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Emergency Medicine
Genevieve S. Pentecost, Jacob Kesterson
Summary: Invasive Liver Abscess Syndrome, caused by Klebsiella pneumoniae, is a manifestation of systemic infection. Although common in Southeast Asia, it is uncommon in the United States. This article presents a case of pyogenic liver abscess and associated endogenous endophthalmitis in a patient presenting to the emergency department.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2021)
Article
Immunology
Zhijie Zhang, Hairui Wang, Yawen Guo, Zhaoyu Liu, Zhihui Chang
Summary: This study found significant differences in bacterial characteristics between IKPLA and KPLA, including microbiological changes, activation of related metabolic pathways, and expression of pathogenic genes. These differences provide clues for exploring the mechanism of invasiveness in KPLA.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2022)
Article
Immunology
Dakang Hu, Wenjie Chen, Weiwen Wang, Dongxing Tian, Pan Fu, Ping Ren, Qing Mu, Gang Li, Xiaofei Jiang
Summary: This study aims to investigate the mechanisms of Klebsiella pneumoniae-induced pyogenic liver abscess (PLA). Differences were found between K. pneumoniae strains from PLA and non-PLA samples for virulence genes and factors. Hypercapsule production is the cornerstone of hypervirulence, regardless of exopolysaccharides. K. pneumoniae-induced PLA may decrease core inflammatory cytokines rather than increase anti-inflammatory cytokines. Exopolysaccharides could also attenuate the inflammatory response to aid in the immune escape of K. pneumoniae.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2023)
Review
Microbiology
Jorge Cardenas-Alvarez, Galit Balayla, Abel Triana, Rodrigo Lankenau, Carlos Franco-Paredes, Andres F. Henao-Martinez, Gabriel Motoa
Summary: This scoping review provides an overview of the characteristics and clinical presentations of cryptogenic Klebsiella pneumoniae liver abscess in the Americas. The majority of cases involve males with diabetes who have traveled from Southeast or East Asia. Extrahepatic involvement and bacteremia are common, with the lungs, ocular structures, and central nervous system being commonly affected. Treatment includes percutaneous drainage and the use of third generation cephalosporins, but the pooled fatality rate remains at 9%.
Article
Immunology
Yahong Zheng, Yuting Ding, Mengran Xu, Haoran Chen, Hui Zhang, Yanyan Liu, Weihua Shen, Jiabin Li
Summary: The study identified the gut microbiota as a protective factor against K. pneumoniae infection, and found that FMT could improve inflammatory levels and liver damage in KLA patients, increasing survival rates.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Article
Microbiology
Changrui Qian, Siqin Zhang, Mengxin Xu, Weiliang Zeng, Lijiang Chen, Yining Zhao, Cui Zhou, Ying Zhang, Jianming Cao, Tieli Zhou
Summary: This study investigated the phenotypic and genotypic characteristics of multidrug resistant liver abscess-causing Klebsiella pneumoniae (MDR LAKp) strains from 2016 to 2020. The majority of these strains exhibited resistance to cephalosporins, quinolones, and chloramphenicol, but only half displayed higher virulence than classical MDR strain. Three hypervirulent carbapenem-resistant strains carrying bla(KPC-2) and one colistin-resistant strain carrying mcr-1 were identified. Phylogenetic analysis showed that most MDR LAKp strains belonged to clade 1. This study provides insights into MDR LAKp and highlights the need for prevention measures to control their spread.
MICROBIOLOGY SPECTRUM
(2023)
Article
Infectious Diseases
Kuan-Jen Chen, Yen-Po Chen, Yi-Hsing Chen, Laura Liu, Nan-Kai Wang, An-Ning Chao, Wei-Chi Wu, Yih-Shiou Hwang, Hung-Da Chou, Eugene Yu-Chuan Kang, Yen-Ting Chen, Ming-Hui Sun, Chi-Chun Lai
Summary: This study investigates the infection sources and antibiotic susceptibilities of Klebsiella pneumoniae in patients with endogenous K. pneumoniae endophthalmitis in Northern Taiwan. Pyogenic liver abscess was identified as the major infection source, and K. pneumoniae showed high susceptibility to ceftazidime and amikacin.
Review
Microbiology
Kai Siang Chan, Christopher Tze Wei Chia, Vishal G. Shelat
Summary: KPPLA patients are younger with a lower prevalence of hepatobiliary disease and malignancy. KPPLA is associated with a lower incidence of multiple and bilobar abscesses, but higher overall metastatic complications. In terms of mortality, KPPLA has a lower rate compared to N-KPPLA.
Article
Medicine, General & Internal
Joo-Hee Hwang, Jeong-Hwan Hwang, Seung Yeob Lee, Jaehyeon Lee
Summary: This study investigated the clinical and microbiological characteristics of prostatic abscesses caused by Klebsiella pneumoniae. The results showed that a particular hypervirulent strain of K. pneumoniae, associated with the K1 capsular type and the presence of the rmpA and iutA genes, was an important pathogen in prostatic abscesses.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Microbiology
Lin Gan, Chao Yan, Jinghua Cui, Guanhua Xue, Hanyu Fu, Bing Du, Hanqing Zhao, Junxia Feng, Yanling Feng, Zheng Fan, Pan Mao, Tongtong Fu, Ziying Xu, Shuheng Du, Shiyu Liu, Rui Zhang, Qun Zhang, Nannan Li, Xiaohu Cui, Xiaoran Li, Yao Zhou, Lei Huang, Jing Yuan
Summary: Klebsiella pneumoniae, a common cause of nosocomial and community-acquired infections, including pneumonia and pyogenic liver abscess, has little known about its population structure. This study investigated the prevalence and characteristics of K. pneumoniae isolates from carriers, pyogenic liver abscess patients, and pneumonia patients. The isolates from different sources had their own sequence types and genomic features. The isolates from liver abscess patients carried more virulence factors, while those from pneumonia patients harbored more resistance genes and replicons. The isolates from liver abscesses also showed higher virulence. The findings suggest that isolates from different sources have distinct genomic features and may infect different patients via different sources.
MICROBIOLOGY SPECTRUM
(2022)
Article
Immunology
Hairui Wang, Yawen Guo, Zhaoyu Liu, Zhihui Chang
Summary: By analyzing abscess samples, the study found that the type VI secretion system (T6SS) is involved in the pathogenesis of invasive Klebsiella pneumoniae liver abscess (IKPLA). PCR and RT-PCR experiments confirmed the expression difference of T6SS hallmark genes and identified the pathogenic feature of T6SS. The results suggest that T6SS is an essential virulence factor for K pneumoniae and contributes to IKPLA.
JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Infectious Diseases
Yu Chang, Jiann-Hwa Chen, Wei-Lung Chen, Jui-Yuan Chung
Summary: A rare case of invasive liver abscess and meningitis caused by Klebsiella pneumoniae was reported. Patients with diabetes mellitus are at higher risk for this disease, especially in Asia. The clinical presentation mimics acute stroke and requires aggressive treatment.
BMC INFECTIOUS DISEASES
(2023)
Article
Infectious Diseases
Chengyi Feng, Jia Di, Shufang Jiang, Xuemei Li, Fei Hua
Summary: ObjectiveThis study aimed to develop and validate a machine learning algorithm-based model for predicting invasive Klebsiella pneumoniae liver abscess syndrome (IKPLAS) in diabetes mellitus and compare the performance of different models. MethodsThe clinical signs and data on the admission of 213 diabetic patients with Klebsiella pneumoniae liver abscesses were collected as variables. The optimal feature variables were screened out, and then Artificial Neural Network, Support Vector Machine, Logistic Regression, Random Forest, K-Nearest Neighbor, Decision Tree, and XGBoost models were established. Finally, the model's prediction performance was evaluated by the ROC curve, sensitivity (recall), specificity, accuracy, precision, F1-score, Average Precision, calibration curve, and DCA curve. ResultsFour features of hemoglobin, platelet, D-dimer, and SOFA score were screened by the recursive elimination method, and seven prediction models were established based on these variables. The AUC (0.969), F1-Score (0.737), Sensitivity (0.875), and AP (0.890) of the SVM model were the highest among the seven models. The KNN model showed the highest specificity (1.000). Except that the XGB and DT models over-estimate the occurrence of IKPLAS risk, the other models' calibration curves are a good fit with the actual observed results. Decision Curve Analysis showed that when the risk threshold was between 0.4 and 0.8, the net rate of intervention of the SVM model was significantly higher than that of other models. In the feature importance ranking, the SOFA score impacted the model significantly. ConclusionAn effective prediction model of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus could be established by a machine learning algorithm, which had potential application value.
BMC INFECTIOUS DISEASES
(2023)
Review
Infectious Diseases
Hiroki Namikawa, Ken-Ichi Oinuma, Koichi Yamada, Yukihiro Kaneko, Hiroshi Kakeya, Taichi Shuto
Summary: This systematic review and meta-analysis suggests that hypermucoviscous Klebsiella pneumoniae strains are associated with an increased risk of abscess formation in bacteremia cases, but not with a significant increase in mortality rate. The string test is reaffirmed as an important tool for detecting hypermucoviscous K. pneumoniae.
INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
(2023)
Article
Engineering, Multidisciplinary
Zitong Liu, Wei Wang, Guoru Ding, Qihui Wu, Xianbin Wang
Summary: This paper investigates a topology sensing scheme for non-collaborative wireless networks using a time series of packet arrival times and causal inference. It proposes a framework for topology sensing from a statistical perspective, transforms the connectivity problem into a correlation problem, and utilizes a high-order Markov chain to model communication behavior. Extensive simulations are conducted to validate the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Telecommunications
Xuantao Lyu, Wei Feng, Ning Ge, Xianbin Wang
Summary: The article proposes a symbol detector based on LSTM neural network, which achieves better performance in highly dynamic environments with the use of BEM preprocessing, without the need for channel estimation or channel model information.
CHINA COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Xuelan He, Jian Zhou, Lingzhi Meng, Jiaxin Liu, Xianbin Wang, Shaoxian Zhang, Wenchao Li, Libo Yuan
Summary: A high sensitivity strain sensor based on a micro-helix micro taper long period fiber grating (MH-MTLPFG) is proposed and experimentally investigated. The results show that the sensor has high strain sensing sensitivity, which is improved by about 10 times compared to conventional fiber grating sensors.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo
Summary: This paper investigates a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted multi-user downlink multiple-input single-output (MISO) communication system. A practical coupled phase-shift model is considered, and a joint active and passive beamforming optimization problem is formulated. Hybrid reinforcement learning algorithms are proposed to solve the problem efficiently. Simulation results demonstrate the superiority of STAR-RIS in terms of energy consumption.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Zhibin Gao, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
Summary: This paper explores the auction-based graph job allocation problem in vehicular cloud-assisted networks, aiming to maximize the buyers' utility-of-service while promoting resource reutilization. By proposing a payment rule and a structure-preserved matching algorithm, the proposed algorithm outperforms other methods in various problem sizes.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Zhipeng Cheng, Minghui Liwang, Xiaoyu Xia, Minghui Min, Xianbin Wang, Xiaojiang Du
Summary: This paper investigates the problem of trading multiple federated learning services in UAV-aided networks. An auction-based market is established to facilitate the trading among buyers (FL service demanders), data-sellers (smart devices), and UAV-sellers (UAVs). Mechanisms based on VCG and one-sided matching are proposed to maximize buyers' revenue, and their properties are analyzed. Extensive experimental results demonstrate the superiority of the proposed mechanisms.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Fang Fang, Bibo Wu, Shu Fu, Zhiguo Ding, Xianbin Wang
Summary: This paper investigates the energy efficient potential of simultaneous transmission and reflection-reconfigurable intelligent surface (STAR-RIS) in a MIMO enabled NOMA system. An algorithm is proposed to optimize the transmit beamforming and phases of the low-cost passive elements on the STAR-RIS for maximizing system energy efficiency. Simulation results demonstrate the superior energy efficiency performance of the proposed algorithm using NOMA technology over OMA scheme and random phase shift scheme.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Ruitao Chen, Xianbin Wang
Summary: Mobile collaborative computing (MCC) is a new platform that effectively improves the quality of mobile service by utilizing idle computational resources in distributed mobile devices through peer-to-peer task offloading. This paper proposes a concept of value of service (VoS) to represent the total value of tasks and devices based on their performance. A situation-aware offloading scheme is proposed to maximize VoS by leveraging changing resource availability conditions. The paper also presents solutions to maximize VoS for binary and partial offloading scenarios.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Yanxin Li, Wei Wang, Mingqian Liu, Nan Zhao, Xu Jiang, Yunfei Chen, Xianbin Wang
Summary: In this article, a UAV-assisted NOMA transmission scheme is proposed to achieve secure downlink transmission via artificial jamming. The tradeoff between jamming power and sum rate is investigated by optimizing power allocation, user scheduling, and UAV trajectory, aiming to balance security and transmission performance.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Thakshanth Uthayakumar, Abubaker Abdelhafiz, Xianbin Wang, Ming Jian
Summary: The nonlinear distortions with memory effects caused by strong crosstalk between multiple power amplifier (PA) branches in multiple-input multiple-output (MIMO) systems pose challenges for behavioral modeling and linearization techniques. In this study, a decomposed cross-correlation based single-input-single-output (CC-SISO) architecture is proposed to estimate and cancel the simultaneous nonlinear and reverse crosstalk in PAs. This architecture significantly reduces the complexity of MIMO digital predistortion (DPD) models and eliminates the need for signal feedback paths, thus simplifying hardware implementation.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Review
Computer Science, Information Systems
Qihui Wu, Wei Wang, Zuguang Li, Bo Zhou, Yang Huang, Xianbin Wang
Summary: The sixth-generation (6G) wireless network aims to provide ubiquitous connectivity and diverse scenarios for various emerging applications. Full spectrum plays a crucial role in achieving the ambitious goal of a Tbps-scale data rate in 6G. This paper reviews the scenario and potential spectrum plan for 6G and introduces SpectrumChain, a blockchain-based dynamic spectrum-sharing (DSS) framework. The unique characteristics of blockchain for DSS and key technologies are presented. Finally, the conclusion and future development trends are discussed.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Telecommunications
Zuguang Li, Wei Wang, Qihui Wu, Xianbin Wang
Summary: In order to achieve secure and efficient dynamic spectrum sharing with guaranteed revenue and quality of service in future wireless communications, a consortium blockchain based DSS framework is proposed. Regulators supervise the entire DSS process to ensure revenue for each participant. Each MNO on the chain can act as a spectrum provider or requestor based on their demand, and the spectrum resource allocation is recorded on the chain with a smart contract. Optimal spectrum pricing and buying strategies are solved using a multi-leader multi-follower Stackelberg game model, and the equilibrium is determined with a proposed algorithm. A prototype is built using Hyperledger Fabric consortium blockchain, and the average latency is evaluated. Simulations and prototype evaluations confirm the feasibility of blockchain based DSS and reveal that average latency increases with the number of participants, providing valuable insights for real-world applications.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Haide Wang, Pengyi Jia, Xianbin Wang
Summary: This paper proposes a situation-aware hybrid time synchronization protocol for heterogeneous Internet of Things systems, which accurately models the multi-source timestamping uncertainties and enhances synchronization accuracy.
2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL)
(2022)
Article
Computer Science, Hardware & Architecture
Minghui Liwang, Xianbin Wang, Ruitao Chen
Summary: This article discusses the challenges of resource trading in IoT devices and proposes an overbooking-enabled solution. It presents a framework and a case study to demonstrate the effectiveness of the proposed approach in improving resource utilization and profit.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Ruitao Chen, Xianbin Wang
Summary: This paper proposes a situation-aware orchestration mechanism for resource allocation and task scheduling to address the reliability and sustainability issues of resource collaboration in dynamic IoT systems. By three steps, it achieves objective-driven exploration of collaboration opportunity and precise alignment of resource capacity and task demands through a redundant task scheduling scheme.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
(2022)
