Article
Engineering, Electrical & Electronic
Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe, Jeebak Mitra
Summary: Fiber nonlinearity effects on long-haul optical fiber communication links are limited by conventional nonlinearity compensation methods. Recently, machine learning techniques have been used to optimize these methods, claiming improved performance and reduced complexity. This paper revisits the benefits of learned nonlinearity compensation and proposes a fully learned structure using a recurrent neural network. Numerical simulations demonstrate improved performance and complexity trade-off compared to existing techniques.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman, Octavia A. Dobre, Lutz Lampe, Deyuan Chang, Chuandong Li
Summary: This study proposes a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity. The scheme utilizes perturbation treatment and a deep neural network to improve performance. Numerical simulations demonstrate the superiority of the proposed scheme over other methods.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Mengfan Fu, Yiwen Wu, Zhiyuan Yang, Huazhi Lun, Xiaobo Zeng, Lilin Yi, Weisheng Hu, Qunbi Zhuge
Summary: In this paper, a TC-PNC scheme is proposed to compensate for intra-channel fiber nonlinear impairments. Compared to conventional PNC and DPNC, TC-PNC has lower complexity and better compensation performance. Simulations and experiments demonstrate that TC-PNC can effectively improve the signal-to-noise ratio and validate its effectiveness.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Mark Pelusi, Ryosuke Matsumoto, Takashi Inoue, Shu Namiki
Summary: Improvements in the efficacy of optical phase conjugation (OPC) for compensating nonlinear signal distortion in long distance optical fiber links have been demonstrated. This is achieved by tailoring the link spans using step-parameter profiled fiber (SPF) to mitigate the impact of propagation loss on phase distortion before and after OPC. The addition of a dispersion element after OPC further enhances compensation in shorter subsections of spans. Numerical simulations and measurements show that the use of OPC and SPF designs significantly improve the Q(2)-factor and reduce bit error rate in different fiber link scenarios.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Moshe Tzur, Gil Paryanti, Dan Sadot
Summary: This study proposes an improved neural network-based direct learning approach for digital pre-distortion applications. The method utilizes curriculum learning to gradually increase the complexity of the training paradigm based on the statistical properties of the input signal, resulting in better convergence of the network.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Shinsuke Fujisawa, Fatih Yaman, Hussam G. Batshon, Masaaki Tanio, Naoto Ishii, Chaoran Huang, Thomas Ferreira de Lima, Yoshihisa Inada, Paul R. Prucnal, Norifumi Kamiya, Ting Wang
Summary: This paper discusses the application of neural networks in nonlinear impairment compensation in communication systems and proposes two approaches to accommodate high-speed communication systems.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Sunish Kumar Orappanpara Soman, Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan
Summary: This paper investigates extending the first-order perturbation theory to second-order to improve the performance of nonlinear compensation in polarization-multiplexed optical fiber communication systems. Numerical simulations and complexity analysis show that the second-order perturbation theory provides better performance and lower computational complexity compared to the first-order perturbation theory in single-channel systems.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Cenqin Jin, Nikita A. Shevchenko, Zhe Li, Sergei Popov, Yunfei Chen, Tianhua Xu
Summary: The paper investigates the impact of Equalization Enhanced Phase Noise (EEPN) on multi-channel optical communication systems, analyzes the nonlinear interaction between the signal and EEPN, and validates the analytical approach through numerical simulations and split-step Fourier simulations.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Mark Pelusi, Ryosuke Matsumoto, Takashi Inoue, Shu Namiki
Summary: This study demonstrates the compensation of nonlinear distortion in long distance communication links caused by the power induced Kerr effect. The insertion of an optical phase conjugation module and a stepwise parameter profiled fiber module improves the propagation symmetry and overall distortion cancellation. Measurements show significant improvement in signal quality and extended transmission reach using these modules.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xingwen Yi, Xiatao Huang, Jing Zhang, Bo Xu, Fan Li, Zhaohui Li
Summary: This study explores the shortcomings of the conventional method in compensating for optical fiber nonlinearity, and improves the performance by adjusting the power map in the virtual link with imbalanced DBP (iDBP). Simulation experiments demonstrate the enhanced performance of iDBP compared to CDBP.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Jiazheng Ding, Tiegen Liu, Tongyang Xu, Wenxiu Hu, Sergei Popov, Mark S. Leeson, Jian Zhao, Tianhua Xu
Summary: This work investigates a perturbation-based neural network scheme with an embedded bidirectional long short-term memory layer to compensate for the Kerr fiber nonlinearity in optical fiber communication systems. Numerical simulations demonstrate the effectiveness and advantages of this scheme in high-speed transmission systems, achieving improvements in signal-to-noise ratio while reducing computational complexity and maintaining robustness to phase noise-induced distortion. Additionally, a tradeoff is found between the choice of modulation format and nonlinear equalization schemes for a given transmission distance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
David Dahan, Michael Zarubinsky, Yunhua Liang, Ori Golani, Mark Shtaif
Summary: The concept of a universal virtual lab is introduced as an extension to a virtual lab platform that enables accurate simulation of wideband nonlinear DWDM systems. The universal virtual lab is compatible with various system architectures and provides accurate performance predictions, even with adaptive equalization methods. It shows significant improvements in accuracy and runtime speed in comparison to traditional methods.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Optics
I. A. Kozulin, A. A. Redyuk
Summary: The proposed extension of the perturbation-based approach for fiber nonlinearity compensation can effectively mitigate both intra-and interchannel nonlinearity with a moderate increase in implementation complexity. By utilizing machine learning techniques and regularization, the joint identification of perturbation coefficients for nonlinear interactions between symbols from neighboring spectral channels is achieved, resulting in improved compensation of nonlinear signal distortions in the transmission link.
OPTICS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Zhaopeng Xu, Chuanbowen Su, Tonghui Ji, Jonathan H. Manton, William Shieh
Summary: In this article, transfer learning (TL)-aided feedforward neural networks (FNN) and recurrent neural networks (RNN) are proposed for nonlinear equalization in short-reach direct detection optical links, allowing for a fast transition to new equalizers when the channel condition changes. TL significantly reduces the training requirements of FNNs/RNNs in the target system, with a substantial decrease in epochs and training symbols. Additionally, it is found that FNNs can be effectively transferred to their corresponding RNNs for equalization in the target system.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Oleg Sidelnikov, Alexey Redyuk, Stylianos Sygletos, Mikhail Fedoruk, Sergei Turitsyn
Summary: The study utilizes convolutional neural networks to compensate for nonlinear signal distortions in optical communication systems, optimizing algorithmic complexity to improve learning efficiency and performance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Surgery
Chaonan Wang, Yan Zhou, Jiang Shao, Zhichao Lai, Kang Li, Leyin Xu, Junye Chen, Xiaoxi Yu, Zhan Zhu, Jiaxian Wang, Xiaolong Liu, Jinghui Yuan, Bao Liu
Summary: This study describes the indications, efficacy, and safety of a new surgeon-modified iliac branch device (sm IBD). The results show that the sm IBD is an effective and feasible intra-vascular technique for patients with abnormal iliac artery anatomy and has similar midterm procedural success rate compared to commercial IBDs.
ANNALS OF VASCULAR SURGERY
(2023)
Article
Engineering, Environmental
Siqi Ji, Xiaowen Lu, Mingyang Zhang, Leipeng Leng, Hongxue Liu, Kuibo Yin, Chang Xu, Cheng He, J. Hugh Horton, Jiangwei Zhang, Zhijun Li
Summary: A catalyst with atomic palladium atoms supported over UiO-66-NH2 demonstrates extraordinary catalytic performance in terms of activity, selectivity, and yield. The high catalytic activity is attributed to optimized electronic metal-support interactions and positive valence state of the palladium atoms.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Pharmacology & Pharmacy
Jintao He, Qiucheng Shi, Zhifu Chen, Wang Zhang, Peng Lan, Qingye Xu, Huangdu Hu, Qiong Chen, Jianzhong Fan, Yan Jiang, Belinda Loh, Sebastian Leptihn, Quanming Zou, Jinyong Zhang, Yunsong Yu, Xiaoting Hua
Summary: The aim of this study was to investigate the in vivo evolution of the mucoid phenotype of ST11-KL64 carbapenem-resistant Klebsiella pneumoniae (CRKP) and gain insights into the diverse evolution and biology of these strains. Whole genome sequencing and bioinformatic analysis were used to determine the mutations involved in the mucoid phenotype. Gene knockout, bacterial morphology, and CPS extraction were used to verify the roles of wzc and wcaJ in the mucoid phenotypes. Antimicrobial susceptibility, growth assay, biofilm formation, host cell adhesion, and virulence assay were used to investigate the pleiotropic role of CPS changes in the CRKP strains.
DRUG RESISTANCE UPDATES
(2023)
Article
Environmental Sciences
Jingfei Huang, Xuelin Li, Yi Zhang, Siwei Zhai, Wei Wang, Tao Zhang, Fei Yin, Yue Ma
Summary: The Chengyu Metropolitan Area (CYMA) is a region in the Sichuan Basin with uneven development and high PM2.5 concentrations. This study assessed the inequality of PM2.5 exposure among different subgroups in the CYMA using the concentration index. The findings showed that non-disadvantaged subgroups had higher PM2.5 exposure, opposite to previous studies in developed countries.
ENVIRONMENTAL POLLUTION
(2023)
Review
Energy & Fuels
Xin Wang, Jun Xu, Peng Ling, Xiaoxue An, Hengda Han, Yifeng Chen, Long Jiang, Yi Wang, Sheng Su, Song Hu, Jun Xiang
Summary: This study investigated the characteristics of sewage sludge and coal slime combustion, finding that co-combustion had a positive effect on desulfurization. Proper blend ratios and temperatures could effectively suppress the emission of SO2. The evolution of S functional groups showed different patterns during co-combustion. Calcium played an important role in the process, reacting with SO2 to form intermediate solid products and retaining SO2 in the ash.
Article
Engineering, Electrical & Electronic
Yulin Li, Qian Liu, Meiguo Qi, Yilin Chen
Summary: In this study, a series of oriented M-type barium hexaferrite samples were fabricated using a wet orientation process. The samples showed high orientation along the c-axis and exhibited high saturation magnetization. The study demonstrated the potential applications of oriented M-type barium hexaferrite in self-biased microwave device designs.
JOURNAL OF ELECTRONIC MATERIALS
(2023)
Article
Biochemical Research Methods
Hui Pan, Baofu Ma, He Wang, Xulian Cui, Kun Zhang, Baofeng Zhao, Bo Jiang, Zhen Liang, Lihua Zhang, Yukui Zhang
Summary: Besides O-phosphorylation, protein N-phosphorylation plays important roles in various biological processes. Enriching N-phosphorylation peptides in tissue is challenging due to its complexity. In this study, a workflow for identifying N-phosphorylation peptides in mouse brain tissue was established using direct enrichment in high concentration urea. The method was reliable and successfully applied to analyze N-phosphorylation in a mouse model of Alzheimer's disease, revealing potential links between N-phosphorylation and Alzheimer's disease-related processes.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2023)
Review
Medicine, General & Internal
Xinxin Liu, Yingqi Ma, Yiguo Wang, Qiming Zhang
Summary: This study evaluated the effects of Dl-3-n-butylphthalide (NBP) injection on patients with acute cerebral infarction. The results showed that NBP combined treatment effectively reduced inflammation and oxidative stress, improved vascular endothelial function, and reduced cerebral infarct volume and size in ACI patients. Moreover, the incidence of adverse reactions was not increased.
Article
Biochemistry & Molecular Biology
Erika McCarthy, Soelen Ekesan, Timothy J. Giese, Timothy J. Wilson, Jie Deng, Lin Huang, David M. J. Lilley, Darrin M. York
Summary: By using simulations and calculations, we have elucidated the mechanism of methyl transfer catalyzed by a methyltransferase ribozyme. We have identified two transition states and a rate-controlling step, and predicted the activity-pH profile of the reaction.
NUCLEIC ACIDS RESEARCH
(2023)
Article
Engineering, Chemical
Jingyi Wang, Yue Zhu, Zhongwei Cao, Xuefeng Zhu, Weishen Yang
Summary: Three high entropy BSCF perovskite membranes were designed and analyzed to improve oxygen permeation stability at high temperatures. The degradation mechanism was studied and a strategy to enhance stability was proposed. Coating the surfaces with Sm0.5Sr0.5CoO3-delta (SSC) improved the permeation stability and the high entropy strategy helped restrain phase transition.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Dermatology
Yaoyao Song, Yu Zang, Zequn Chen, Jianjun Li, Minhui Zhu, Hongjuan Zhu, Wanli Chu, Gang Liu, Chuan'an Shen
Summary: This study observed the effect and risk factors of Limberg flap repair (LFR) in the treatment of pilonidal sinus disease (PNSD). A retrospective study was conducted on 37 PNSD patients, and the effects of the operation and complications were observed. The results showed that LFR has a stable therapeutic outcome in the treatment of PNSD.
INTERNATIONAL WOUND JOURNAL
(2023)
Article
Dentistry, Oral Surgery & Medicine
Yuanyuan Chuai, Bichong Dai, Xiaoyun Liu, Menglin Hu, Yuanyin Wang, Hengguo Zhang
Summary: This study explored the association between severe periodontal attachment loss and vitamin K or fibre intake in American adults. It found that there was an inverse association between vitamin K intake and the progression of periodontal attachment loss, and dietary fibre intake should be moderate, especially in males.
Article
Automation & Control Systems
Jing Yang, Shimeng Li, Xiaoxing Wang, Jingwei Lu, Huaiyu Wu, Xiao Wang
Summary: In cyber-physical-social systems, smart manufacturing faces challenges like uncertainty and complexity in modeling, long-delayed responses to market changes, and dependence on human engineers. DeFACT is a framework for parallel manufacturing that transforms professional division to real-virtual division through Decentralized Autonomous Organization-based interactions among robotic, digital, and human workers. Human workers are responsible for only 5% of complex and creative physical and mental work, while robotic and digital workers handle the rest. The perceptual and cognitive intelligence of digital workers are enhanced by a manufacturing foundation model (MF-PC) that ensures accurate task models and interpretable and controllable feature learning.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Plant Sciences
Yanxin Jiang, Anran Zhang, Wenjing He, Qingqing Li, Bosi Zhao, Hongjiao Zhao, Xubo Ke, Yalu Guo, Piaoyun Sun, Tongwen Yang, Zheng Wang, Biao Jiang, Junjun Shen, Zheng Li
Summary: This study reveals the genetic controls underlying lateral organ initiation and morphogenesis in watermelon. The LATERAL SUPPRESSOR gene regulates the formation and morphology of lateral organs in watermelon. The protein-protein interaction assays demonstrated that ClLs interacts directly with ClTEN, ClPID, and ClAP1. These findings provide potential gene targets for transforming the architecture of watermelon.
Article
Chemistry, Analytical
Xu Li, Yinglin Wang, Pengfei Cheng, Yanming Liu, Sitian Chen, Weian Du, Xin Zhou, Yue Hao
Summary: Surface modification of WO3 nanoplates with Co3O4 quantum dots significantly improves the gas sensing performance towards xylene due to the stronger oxygen-adsorbing capacity of grooved WO3, the formation of p-n junction between Co3O4 and WO3, and the preferential adsorption of oxygen vacancy-rich Co3O4 on xylene.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)