作者机构：
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China;School of Computer, Central China Normal University, Wuhan, China;National Language Resources Monitoring and Research Center for Network Media, Central China Normal University, Wuhan, China;[Xiaowei Xu] Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA;[Wenjie Yao] Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, China<&wdkj&>School of Computer, Central China Normal University, Wuhan, China
会议名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
05 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
关键词：
counterfactual inference;data augmentation;drug-side effect associations prediction;heterogeneous information network
摘要：
Detecting drug side effects is crucial in development of drugs. As publicly available biomedical data expands, researchers have devised numerous computational methods for predicting drug-side effect associations (DSAs). Among these, network-based approaches have gained significant attention in the biomedical field. However, the challenge of data scarcity poses a significant hurdle for existing DSAs prediction models. While various data augmentation methods have been created to solve the proble, most rely on random alterations to the original networks, neglecting the causality of DSAs’ existence, thus impacting the predictive performance negatively. In this paper, we introduce a counterfactual inference-based data augmentation method to enhance performance. First,a heterogeneous information network (HIN) is construct by integrating multiple biomedical data sources. We employ community detection on the HIN to preform a counterfactual inference-based method, deriving augmented links and an augmented HIN. Subsequently, we apply a meta-path-based graph neural network to obtain high-quality representations of drugs and side effects, enabling the prediction of DSAs. Our comprehensive experiments confirm the effectiveness of this counterfactual inference-based data augmentation for DSAs prediction.
作者机构：
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, PR China;School of Computer, Central China Normal University, Wuhan, Hubei, PR China;National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, Hubei, PR China;[Xiaowei Xu] Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA;[Shengwei Ye; Weizhong Zhao; Xianjun Shen; Xingpeng Jiang; Tingting He] Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, PR China<&wdkj&>School of Computer, Central China Normal University, Wuhan, Hubei, PR China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan, Hubei, PR China
会议名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
05 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
关键词：
drug repositioning;drug-disease associations prediction;counterfactual links;graph convolutional network;heterogeneous information network
摘要：
Drug repositioning is the process of identifying potential associations between approved drugs and diseases (DDAs) to unveil novel therapeutic applications. Unlike traditional drug discovery approaches, a key advantage of drug repositioning lies in its capacity to leverage the existing knowledge and safety profiles of established medications, leading to significant reductions in both the time and costs associated with drug development. While various methods have been proposed to address this challenge using diverse strategies, the conventional approach for training DDAs prediction models typically relies on random sampling of unknown drug-disease pairs to construct negative samples. However, this method may inadvertently introduce unwanted noise or errors by erroneously categorizing some genuine DDAs as negative samples, thereby leaving room for improvement in current methodologies. In this paper, we introduce a novel negative sample selection algorithm for DDAs prediction that explicitly incorporates causal knowledge inherent in DDAs. To accomplish this, we first construct a heterogeneous information network (HIN) that encompasses various biological entities associated with DDAs and their interconnections. Subsequently, we utilize the outcomes of community detection within the HIN as a form of counterfactual inference, resulting in the development of a negative sample selection algorithm based on a thoughtfully designed counterfactual question. By combining the known DDAs (i.e., positive samples) with the newly generated negative samples, we train a prediction model that incorporates a graph learning module to acquire representations of drugs and diseases. Comprehensive experiments confirm the effectiveness of our proposed model for DDAs prediction.
作者机构：
[Fang Gao; Feng Feng; Kaixue Ma] School of Microelectronics, Tianjin University, Tianjin, China;[Jianan Zhang] State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China;[Jing Jin] College of Physical Science and Technology, Central China Normal University, Wuhan, China;[Qi-Jun Zhang] Department of Electronics, Carleton University, Ottawa, ON, Canada
会议名称：
2023 IEEE MTT-S International Wireless Symposium (IWS)
会议时间：
14 May 2023
会议地点：
Qingdao, China
会议论文集名称：
2023 IEEE MTT-S International Wireless Symposium (IWS)
关键词：
Parametric modeling;neural networks;rational transfer function;model-order reduction
摘要：
Neuro-transfer function (neuro-TF) methods are increasingly applied in the parametric modeling of microwave passive devices. Current neuro-TF methods based on poles/residues have the problem of poles/residues discontinuity when the geometry varies widely, and neuro-TF methods based on poles/zeros form require specific algorithms for ordering or poles/zeros matching. The neuro-TF method based on rational transfer functions proposed in recent years solves the above three problems simultaneously. The purpose of this paper is to apply the MOR-based neuro-TF method with rational transfer function to model a four-pole waveguide filter.
作者机构：
[Gao, Yijing; Raj, Ashish; Nagarajan, Srikantan S.; Ghosh, Sanjay] Univ Calif San Francisco, San Francisco, CA 94143 USA.;[Cai, Chang] Cent China Normal Univ, Wuhan, Peoples R China.;[Hashemi, Ali; Haufe, Stefan] Tech Univ Berlin, Berlin, Germany.;[Sekihara, Kensuke] Signal Anal Inc, Tokyo, Japan.
会议名称：
20th IEEE International Symposium on Biomedical Imaging (ISBI)
会议时间：
APR 18-21, 2023
会议地点：
Cartagena, COLOMBIA
会议主办单位：
[Ghosh, Sanjay;Gao, Yijing;Raj, Ashish;Nagarajan, Srikantan S.] Univ Calif San Francisco, San Francisco, CA 94143 USA.^[Cai, Chang] Cent China Normal Univ, Wuhan, Peoples R China.^[Hashemi, Ali;Haufe, Stefan] Tech Univ Berlin, Berlin, Germany.^[Sekihara, Kensuke] Signal Anal Inc, Tokyo, Japan.
会议论文集名称：
IEEE International Symposium on Biomedical Imaging
关键词：
EEG;MEG;brain source imaging;low-rank noise
摘要：
The inverse problem in brain source imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG) and magnetoencephalography (MEG). One key challenge is the efficient recovery of sparse brain activity when the data is corrupted by structured noise that is low-rank noise. This is often the case when there are a few active sources of environmental noise and the MEG/EEG sensor noise is highly correlated. In this paper, we propose a novel robust empirical Bayesian framework which provides us a tractable algorithm for jointly estimating a low-rank noise covariance and brain source activity. Specifically, we use a factor analysis model for the structured noise, and infer a sparse set of variance parameters for source activity, while performing Variational Bayesian inference for the noise. One key aspect of this algorithm is that it does not require any additional baseline measurements to estimate the noise covariance from the sensor data. We perform exhaustive experiments on both simulated and real datasets. Our algorithm achieves superior performance as compared to several existing benchmark algorithms.
作者机构：
[Xia, Qiaoqiao; Wang, Ji; Wang, J; Ma, Xinxin] Cent China Normal Univ, Dept Elect & Informat Engn, Wuhan, Peoples R China.;[Zheng, Le] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China.;[Yang, Kai] Tongji Univ, Dept Comp Sci, Shanghai, Peoples R China.;[Chen, Zhao] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing, Peoples R China.
会议名称：
IEEE Wireless Communications and Networking Conference (WCNC)
会议时间：
MAR 26-29, 2023
会议地点：
Glasgow, SCOTLAND
会议主办单位：
[Wang, Ji;Ma, Xinxin;Xia, Qiaoqiao] Cent China Normal Univ, Dept Elect & Informat Engn, Wuhan, Peoples R China.^[Zheng, Le] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China.^[Yang, Kai] Tongji Univ, Dept Comp Sci, Shanghai, Peoples R China.^[Chen, Zhao] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing, Peoples R China.
会议论文集名称：
IEEE Wireless Communications and Networking Conference
关键词：
Internet of Things;ultra-dense cloud radio access network;energy harvesting;successive convex approximation
摘要：
This paper studies the secrecy wireless information and power transfer problem in ultra-dense cloud radio access network (UD-CRAN) with wireless fronthaul, which is a promising framework for future Internet of Things (IoT). The transmission schemes of wireless fronthaul and access links are jointly designed, while addressing the characteristics of ultra-dense network such as base station diversity and high probability of line-of-sight transmission. Specifically, we employ the idea of block diagonalization to deal with the fronthaul interference, which support multi-stream fronthaul transmission for each remote radio head (RRH). We then jointly optimize the power allocation in the fronthaul and the resource allocation in the access link which includes beamforming for information and energy transmission, on/off of RRHs, and user-RRH association. In order to solve the formulated mixed integer non-convex optimization problem, we leverage the sparsity of beamforming vectors brought by the ultra-dense RRHs. We then solve the reformulated problem by employing the successive convex approximation approach. Finally, numerical results are presented to demonstrate the effectiveness of the proposed scheme.
作者机构：
[Wei Gao; Yan Li; Jinlong Zhang] National Research Center of Cultural Industries, Central China Normal University, Wuhan, China;[Chengyang Zhang] School of Political Communication, Central China Normal University, Wuhan, China
会议名称：
2023 6th International Conference on Electronics Technology (ICET)
会议时间：
12 May 2023
会议地点：
Chengdu, China
会议论文集名称：
2023 6th International Conference on Electronics Technology (ICET)
摘要：
The amounting recreational demands of the elderly have caused recreational applications in smartphone to become hot topic under active aging, which are one of the representatives of software engineering and consumer electronics. However, the elderly-oriented levels of these applications are obviously heterogeneous and slightly backward, which easily lead to many security hazards and operational difficulties, so it is necessary to carry out elderly-oriented analysis. This paper classified recreational applications and constructed analysis indicators, and then used Topsis model to carry out analysis. The results showed that: (1) The average elderly-oriented level of recreational applications was 0.529, meaning in the middle level; (2) The elderly-oriented levels of different categories showed significant differences. Among them, Music & Television category and News category were relatively leading, Chat category and Tourism category were relatively general, and Education category and Game category were relatively backward; (3) Due to wireless networks, signal processing, virtual reality and other factors, the elderly-oriented levels of recreational applications showed great difference in the dimensions of security, operation, and function.
作者机构：
[Chen, Wei; Chen, W] Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China.;[Pang, Longgang; Wang, Xin-Nian; Yang, Zhong] Cent China Normal Univ, Key Lab Quark & Lepton Phys, MOE, Wuhan 430079, Peoples R China.;[Pang, Longgang; Wang, Xin-Nian; Yang, Zhong] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;[He, Yayun] South China Normal Univ, Guangdong Prov Key Lab Nucl Sci, Inst Quantum Matter, Guangzhou 510006, Peoples R China.;[Luo, Tan] Univ Santiago Compostela, Inst Galego Fis Altas Enerxias IGFAE, Galicia, Spain.
通讯机构：
[Chen, W ] U;Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China.
会议名称：
29th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions Quark Matter
会议时间：
APR 04-10, 2022
会议地点：
Krakow, POLAND
会议主办单位：
[Chen, Wei] Univ Chinese Acad Sci, Sch Nucl Sci & Technol, Beijing 100049, Peoples R China.^[Yang, Zhong;Pang, Longgang;Wang, Xin-Nian] Cent China Normal Univ, Key Lab Quark & Lepton Phys, MOE, Wuhan 430079, Peoples R China.^[Yang, Zhong;Pang, Longgang;Wang, Xin-Nian] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.^[He, Yayun] South China Normal Univ, Guangdong Prov Key Lab Nucl Sci, Inst Quantum Matter, Guangzhou 510006, Peoples R China.^[Luo, Tan] Univ Santiago Compostela, Inst Galego Fis Altas Enerxias IGFAE, Galicia, Spain.^[Wang, Xin-Nian] Lawrence Berkeley Natl Lab, Nucl Sci Div, MS 70R0319, Berkeley, CA 94720 USA.
摘要：
Diffusion wake is an unambiguous part of the jet-induced medium response in high-energy heavy-ion collisions that leads to a depletion of soft hadrons in the opposite direction of the jet propagation. Using a coupled linear Boltzmann transport and hydro model, we identify a valley structure caused by the diffusion wake on top of a ridge from the initial multiple parton interaction (MPI) in the jet-hadron correlation as a function of azimuthal angle and rapidity. This gives rise to the unambiguous signals of the diffusion wake on soft hadrons in the opposite direction of the jets, which are reflected in the depletion in azimuthal angle distribution after subtraction of the contributions from MPI with a mixed-event procedure, and the double-peak structure in the rapidity distribution. We further employ the longitudinal and transverse gradient jet tomography for the first time to localize the initial jet production positions in Z/gamma-jet events in which the effect of the diffusion wake is apparent in Z/gamma-hadron correlation even without the subtraction of MPI.
作者机构：
[Hou, Junjie; Lin, Hai; Hou, JJ; Fu, Jiaping; Jin, Jing; Liu, Zixin] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.;[Feng, Feng] Tianjin Univ, Sch Microelect, Tianjin, Peoples R China.
会议名称：
IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
会议时间：
JUN 28-30, 2023
会议地点：
Winnipeg, CANADA
会议主办单位：
[Hou, Junjie;Jin, Jing;Lin, Hai;Liu, Zixin;Fu, Jiaping] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.^[Feng, Feng] Tianjin Univ, Sch Microelect, Tianjin, Peoples R China.
会议论文集名称：
International Conference on Numerical Electromagnetic Modeling and Optimization for RF Microwave and Terahertz Applications
关键词：
Inverse design;deep learning;metasurface
摘要：
Inverse design has been an important method to the design of metasurface. Deep learning techniques have been applied to the inverse design of metasurface in recent work. This paper provides an overview of advances in deep learning techniques for inverse design of metasurface, including a target-driven deep learning inverse design technique, the fuzzy inverse design technique, the freeform inverse design technique and the machine-learning-assisted inverse design technique.
作者机构：
[Raimon Casanova] Institut de Física d’Altes Energies (IFAE), and Universitat Autònoma de Barcelona (UAB), Barcelona, Spain;[Philippe Schwmeling] Institute of Research on the Fundamentak Laws of Research on the Universe (CEA-Irfu), and Universite Paris Cité, Gif-sur-Yvette, France;[Yavuz Degerli; Fabrice Guilloux; Jean-Pierre Meyer] Institute of Research on the Fundamentak Laws of Research on the Universe (CEA-Irfu), Gif-sur-Yvette, France;[Yujing Gan] Central China Normal University (CCNU), and Institutde Física d’Altes Energies (IFAE), Barcelona, Spain;[Guangming Huang] Pixel Laboratory At CCNU (PLAC), and Central China Normal University (CCNU), Wuhan, P.R. China
会议名称：
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
会议时间：
04 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
关键词：
Depleted Monolithic Active Pixel Sensor;Timing;High Energy Physics
摘要：
Depleted Monolithic Active Pixel Sensors (DMAPS) integrate both sensor and front-end electronics on a single substrate, avoiding the complicated sensor to chip interconnection process. Modern CMOS technology allows a good radiation tolerance which draws a lot of interests as an alternative solution for tracking detectors in High Energy Physics (HEP). Furthermore, recently DMAPS are being explored for timing measurements. The Mini-CACTUS (Cmos Active pixel Timing p sensor) is a prototype that was shown to achieve a 65 ps time resolution and 80 ns recovery time. In this paper, a new prototype using LFoundry 150 nm HV technology, mini-CACTUS-V2 is presented with improved jitter and recovery time from post simulation.
作者机构：
[Helin Yang] The central china normal university, Wuhan, China;[Ding-E Wen; Liang Chen; Weijun Wu; Shengquan Zheng; Qi Zhang] Science and Technology on Electromagnetic Compatibility Laboratory, Wuhan, China
会议名称：
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
会议时间：
15 August 2023
会议地点：
Hangzhou, China
会议论文集名称：
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
关键词：
MoM;PO;radar cross section (RCS)
摘要：
A hybrid method is implemented for calculating the electromagnetic scattering from three-dimensional, perfect electric conductor objects. The method consists of a hybrid method of moments (MoM)-physical optics (PO) without considering the coupling between the MoM and PO regions. The conjugate gradient method (CG) is adopted to solve the integral equation. The proposed hybrid method is validated combined with the results from the commercial software. Numerical results indicate that the proposed method has high accuracy.
作者机构：
[Wang, Li; Guo, Xiaotong; Wang, L; Liu, Lufang] Wuhan Univ Technol, Lib, Wuhan, Hubei, Peoples R China.;[He, Chen] Cent China Normal Univ, Wuhan, Hubei, Peoples R China.
会议名称：
8th International Conference on Information Systems Engineering (ICISE)
会议时间：
DEC 16-18, 2023
会议地点：
Bangkok, THAILAND
会议主办单位：
[Wang, Li;Guo, Xiaotong;Liu, Lufang] Wuhan Univ Technol, Lib, Wuhan, Hubei, Peoples R China.^[He, Chen] Cent China Normal Univ, Wuhan, Hubei, Peoples R China.
关键词：
Digital resources;Safeguard rate;Core journal;ESI journal;Resources construction
摘要：
Under the new situation, how to make use of the limited funds to meet the needs of discipline construction and development has become the core problem of library digital resources construction.Through optimizing the structure of digital resources, in-depth analysis and integration of journal resources among various databases, this paper calculates the journal details of the foreign full-text electronic journal database purchased by Wuhan University of Technology in 2022, and analyzes the ESI core guarantee rate of the database purchased by Wuhan University of Technology in 2022 and the ESI matching rate of papers published by Wuhan University of Technology faculty in 2022. Based on the analysis of ESI core guarantee rate and issued documents, unguaranteed resources are extracted, specific methods to improve the guarantee rate are formulated, and a reasonable and comprehensive digital resource construction strategy is formulated to provide targeted suggestions and countermeasures for the construction of library digital resources.
作者：
Deng, B.;Zhang, L.;Chao, C. -P;Chen, S. -W;Cruda, E.;...
期刊：
Journal of Instrumentation,2023年18(02):C02065 ISSN：1748-0221
通讯作者：
Liu, T
作者机构：
[Deng, B.] Hubei Polytech Univ, Huangshi 435003, Hubei, Peoples R China.;[Gong, D.; Ye, J.; Huang, X.; Liu, T.; Zhang, L.; Cruda, E.] Southern Methodist Univ, Dallas, TX 75275 USA.;[Zhang, L.; Sun, X.] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.;[Chao, C. -P; Chen, S. -W; Li, C. -Y] APAC Opto Elect Inc, Hsinchu 303, Taiwan.;[Hou, S.] Acad Sinica, Taipei 11529, Taiwan.
通讯机构：
[Liu, T ] S;Southern Methodist Univ, Dallas, TX 75275 USA.
会议名称：
244th Electrochemical Society Meeting (ECS)
会议时间：
OCT 08-12, 2023
会议地点：
Gothenburg, SWEDEN
会议主办单位：
[Deng, B.] Hubei Polytech Univ, Huangshi 435003, Hubei, Peoples R China.^[Zhang, L.;Cruda, E.;Gong, D.;Huang, X.;Liu, T.;Ye, J.] Southern Methodist Univ, Dallas, TX 75275 USA.^[Zhang, L.;Sun, X.] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.^[Chao, C. -P;Chen, S. -W;Li, C. -Y] APAC Opto Elect Inc, Hsinchu 303, Taiwan.^[Hou, S.] Acad Sinica, Taipei 11529, Taiwan.^[Liu, E. R.] Allen High Sch, Allen, TX 75002 USA.^[Sun, Q.] Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA.^[Wong, G.] Plano East Sr High Sch, Plano, TX 75074 USA.
摘要：
<jats:title>Abstract</jats:title>
<jats:p>We present a pluggable radiation-tolerant 4-level Pulse-Amplitude-Modulation (PAM4) optical transmitter module called GBT20 (Giga-Bit Transmitter at 20 Gbps) for particle-physics experiments. GBT20 has an OSFP or firefly connector to input 16 bit data each at 1.28 Gbps. The GBT20 drives a VCSEL die with an LC lens or a VCSEL TOSA and interfaces an optical fiber with a standard LC connector. The minimum module, including the host connector, occupies 41 mm × 13 mm × 6 mm. At 20.48 Gbps, the minimum Transmitter Dispersion Eye Closure Quaternary (TDECQ) is around 0.7 dB. The power consumption is around 164 mW in the low-power mode. The SEE cross-section is below 7.5 × 10<jats:sup>−14</jats:sup> cm<jats:sup>2</jats:sup>. No significant performance degrades after a TID of 5.4 kGy.</jats:p>
期刊：
EPJ Web of Conferences,2023年276:01018-null ISSN：2100-014X
通讯作者：
Liu, LK
作者机构：
[Liu, Li-Ke] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Liu, Li-Ke] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
通讯机构：
[Liu, LK ] C;Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
会议名称：
20th International Conference on Strangeness in Quark Matter (SQM)
会议时间：
JUN 13-18, 2022
会议地点：
Busan, SOUTH KOREA
会议主办单位：
[Liu, Li-Ke] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Liu, Li-Ke] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
会议论文集名称：
EPJ Web of Conferences
关键词：
conference;proceedings;physics;astronomy;The European Physical Journal;EPJ
摘要：
<jats:p>In these proceedings, we present the measurements of elliptic (<jats:italic>v</jats:italic><jats:sub>2</jats:sub>) and triangular (<jats:italic>v</jats:italic><jats:sub>3</jats:sub>) flow of (multi-)strange hadrons and ϕ mesons in 19.6 and 14.6 GeV Au+Au collisions from the STAR. The number of constituent quark (NCQ) scaling of <jats:italic>v</jats:italic><jats:sub>2</jats:sub> and <jats:italic>v</jats:italic><jats:sub>3</jats:sub> holds well at √S<jats:sub>NN</jats:sub>=19.6 GeV, which indicates the collective flow is built up in the partonic stage. At these energies, the anti-particles show better NCQ scaling than the particles for both <jats:italic>v</jats:italic><jats:sub>2</jats:sub> and <jats:italic>v</jats:italic><jats:sub>3</jats:sub>, which may be caused by the different contributions from the produced and transported quarks.</jats:p>
摘要：
Asynchronous online discussion provides additional forums for the classroom, promoting student interaction and knowledge sharing. However, there is still a common problem of low interactivity in practical applications. This study conducted a two-week role-based asynchronous online discussion on 62 third year undergraduate students who participated in the course "Application of Modern Educational Technology". Different time-frames (unified and distributed deadlines) and clear roles and responsibilities were set to improve the participation and interaction of asynchronous online discussion, and differences in their learning behavior were examined. The results indicate that setting multiple time-frames and clearly assigning roles and responsibilities in asynchronous online discussion can indeed improve students' engagement, and the effect is most evident among respondent type roles. Based on the research results, three practical implications for promoting the implementation of asynchronous online discussion in teaching were proposed.
摘要：
In this paper, the out-of-band monostatic radar cross section (RCS) reduction of a traditional Vivaldi antenna is achieved by loading a water-based metasurface (WBM) consisting of a water column onto the surface of the antenna. The proposed antenna achieves average RCS reduction of -6 dB and -10 dB in (6–12 GHz) and (6–18 GHz) when the copolarized plane wave incident along the -z and -y axes, respectively. The working band of the proposed antenna is 2–6 GHz, in which the performance of the antenna is not affected by the WBM.
作者：
Yi Jia;Shanshan Zheng;Tingting He;Xingpeng Jiang
作者机构：
School of Mathematics and Statistics, Central China Normal University, WuHan, PR China;Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, PR China;School of Computer, Central China Normal University, WuHan, PR China;National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, WuHan, PR China;[Yi Jia] School of Mathematics and Statistics, Central China Normal University, WuHan, PR China<&wdkj&>Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, PR China<&wdkj&>School of Computer, Central China Normal University, WuHan, PR China
会议名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
05 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
摘要：
Despite profound impacts on human health and nature, accurately predicting microbe-metabolite interactions remains challenging due to inherent data noise. This study applies non-negative matrix factorization (NMF) and multi-view NMF to reduce noise and exploit associations across data perspectives. NMF obtains low-dimensional microbial and metabolic representations, effectively reducing noise. The dimension-reduced spectral matrices were input into the generative network model to derive conditional probabilities of individual microbe-associated metabolites and microbe-metabolite co-occurrence probabilities, the latter enabling prediction of microbe-metabolite interactions. Moreover, multi-view NMF integrates microbial and metabolic data by mapping them into a shared subspace, thereby enhancing prediction performance and validating cross-perspective correlation modeling. This study demonstrates NMF's efficacy in noise reduction through dimensionality reduction, and multiview NMF's ability to leverage cross-view associations. Both approaches demonstrate enhanced microbe-metabolite interaction prediction utilizing NMF-based and multi-view NMF-based generative network models.
作者机构：
School of Computer, Central China Normal University, WuHan, PR China;Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, PR China;National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, WuHan, PR China;[Yanan Yao; Tian Yu; Huanghan Zhan; Weizhong Zhao; Tingting He; Xingpeng Jiang] School of Computer, Central China Normal University, WuHan, PR China<&wdkj&>Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, PR China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, WuHan, PR China
会议名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
05 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
摘要：
Antibiotic resistance event extraction involves the automated extraction of information related to antibiotic resistance mechanisms from a vast amount of biomedical literature. This can be achieved by utilizing natural language processing techniques. However, the distinctive characteristics of the biomedical field lead to various challenges for existing antibiotic resistance event extraction methods, such as limited labeling data, complex names of biomedical entities, and nesting and overlapping event structures. These factors make it challenging to apply the current processing methods for biomedical text to the task of antibiotic resistance event extraction. To address these challenges, we propose a cascade decoding approach for antibiotic resistance event extraction based on contrastive learning (CL-MA-CasEE). This approach achieves data augmentation by constructing two contrastive learning tasks, which combines entity type embedding and POS embedding to enrich the semantic information of word representations. Furthermore, it performs event type detection, event trigger extraction, and event argument extraction through using three cascade decoders to simulate the complex event structures. Based on experiments, we demonstrate that our method can effectively extract structured antibiotic resistance event information from biomedical literature, thereby improve the efficiency of event extraction tasks as well.
作者机构：
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, Hubei, PR China;School of Computer, Central China Normal University, WuHan, Hubei, PR China;National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, WuHan, Hubei, PR China;[Ruizhe Zhang; Dandan Li; Ying Xiao; Weizhong Zhao; Xingpeng Jiang; Xianjun Shen] Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, WuHan, Hubei, PR China<&wdkj&>School of Computer, Central China Normal University, WuHan, Hubei, PR China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, WuHan, Hubei, PR China
会议名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议时间：
05 December 2023
会议地点：
Istanbul, Turkiye
会议论文集名称：
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
摘要：
Microbe-drug interactions, which refer to the effects of drugs on microorganisms, play a crucial role in the realm of studying antibiotic-resistant bacteria and the development of antimicrobial agents. With the rapid progress in biomedical field, numerous experimental results containing validated microbe-drug interactions have been available in scientific articles. However, since failing to employ domain knowledge, traditional natural language processing methods encounter challenges in accurately identifying microbe and drug entities. Moreover, the unstructured characteristics and semantic complexity of biomedical literature pose difficulties for conventional text mining approaches to accurately grasp the syntactic features. In this paper, we present a novel microbial-drug relation extraction model called D-GCN, in which dual graph convolutional networks are used. Specifically, the drug database Drugbank is leveraged as external domain knowledge, while the graph convolutional network-based model SemGCN is utilized to learn meaningful features from biomedical texts. In addition, the attention graph convolutional network A-GCN is introduced to capture crucial syntactic features contained in texts. The experimental results show that the proposed model achieves better performance over the selected baseline models, which means D-GCN can not only accurately recognize microbial and drug entity representations, but also effectively identify the microbe-drug interactions.
作者机构：
[Tianqi Yue] Department of Engineering Mathematics, University of Bristol, Bristol, UK;[Zhenyu Lu; Weiyong Si; Ning Wang; Chenguang Yang] Bristol Robotics Laboratory, University of the West of England, Bristol, UK;[Zhou Zhao] School of Computer Science, Central China Normal University, Wuhan, China
会议名称：
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
会议时间：
16 October 2023
会议地点：
Singapore, Singapore
会议论文集名称：
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
摘要：
Tactile sensors can be used for motion detection and object perception in robot manipulation. The contact detection within the camera's visual inspection area has been well-developed, but perception outside the field of view of the camera is overlooked. In this paper, we present a new tendon-linked tactile sensor, MechTac, to achieve perceptions inside and outside the field of view. The MechTac is an evolution of the typical TacTip sensor with the following two advantages. 1) The ability to provide perception outside the field of view. This is achieved by using a network of braided tendons to transfer deformation from the blind perception regions (TacSide) to the visual areas (TacTip). 2) The tactility of the TacSide and TacTip is reflected by the movements of multiple papillae pins and visible markers on the pin tips on the inner surface of the TacTip. The pins and markers are differentially sensitive to various touch features, which is similar to the differentiated perceptual ability of humans. TacTip is more sensitive to small touches, corresponding to the fingertip, while the TacSide is less sensitive but has a larger perceptual area, corresponding to the middle part of the finger. Moreover, we propose a new deep learning method to decompose the mixed information affected by the TacSide and the TacTip. A modified DenseNet121 was specifically designed for object perception at the TacTip and localization at the TacSide. The experimental results show that prediction accuracy reaches about 98% for object perception or localization and over 99% for the case requiring two functions.
作者机构：
[Yun Xie] Zhuhai Cellulose Fibers Co. Ltd, Zhuhai, China;College of Physics Science and Technology Central China Normal University, Wuhan, China;School of Physics and Telecommunications, Huanggang Normal University, Huanggang, China;[Yiting Wang] China Tobacco Hubei Industrial LLC, Wuhan, China;[Jie Xiong; Baopin Yang] College of Physics Science and Technology Central China Normal University, Wuhan, China<&wdkj&>School of Physics and Telecommunications, Huanggang Normal University, Huanggang, China
会议名称：
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
会议时间：
15 August 2023
会议地点：
Hangzhou, China
会议论文集名称：
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
关键词：
reconfigurable rasorber;switchable;PIN diode
摘要：
To improve its stealth performance within the passband, a reconfigurable rasorber/absorber with resorbing and absorbing states is presented. By introducing PIN diodes, proposed devices achieve a switchable function. At the lossless layer, a square-slot patch is designed to match the transmission window of the resistive layer to achieve a lower insertion loss. Equivalent circuit model of switchable rabsorber/absorber is constructed to provide physical insight into operation. Finally, the simulated results of switchable rasorber/absorber show that the intermediate transmission band can be switched between ON and OFF states.
