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RR1 and RR2 gene deletion affects the immunogenicity of a live attenuated pseudorabies

Shijun YAN,He YAN,Chaolin ZHANG,Tongyan WANG,Qingyuan YANG,Zhe SUN,Yan XIAO,Feifei TAN,Xiangdong LI,Kegong TIAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 81-86 doi: 10.15302/J-FASE-2016088

Abstract: virulence-determining genes, and encode the small subunit and large subunit of viral ribonucleotide reductase (RR

Keywords： pseudorabies virus     RR1 and RR2     ribonucleotide reductase     vaccine candidate    

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Single-atom catalysis: a promising avenue for precisely controlling reaction pathways

Frontiers of Chemical Science and Engineering doi: 10.1007/s11705-024-2434-0

Abstract: electrocatalysis and thermocatalysis including four prominent reactions, namely, electrochemical CO2 reduction, urea electrochemical synthesis, CO2 hydrogenation, and CH4 activation

Keywords： single atom catalysts     selective oxidation     CO2RR     bond coupling    

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HAM: a deep collaborative ranking method incorporating textual information Research Articles

Cheng-wei Wang, Teng-fei Zhou, Chen Chen, Tian-lei Hu, Gang Chen,rr@zju.edu.cn,zhoutengfei@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900382

Abstract: The recommendation task with a textual corpus aims to model customer preferences from both user feedback and item textual descriptions. It is highly desirable to explore a very deep neural network to capture the complicated nonlinear preferences. However, training a deeper recommender is not as effortless as simply adding layers. A deeper recommender suffers from the gradient vanishing/exploding issue and cannot be easily trained by gradient-based methods. Moreover, textual descriptions probably contain noisy word sequences. Directly extracting feature vectors from them can harm the recommender’s performance. To overcome these difficulties, we propose a new recommendation method named the HighwAy recoMmender (HAM). HAM explores a highway mechanism to make gradient-based training methods stable. A multi-head attention mechanism is devised to automatically denoise textual information. Moreover, a method is devised to train a deep neural recommender. Empirical studies show that the proposed method outperforms state-of-the-art methods significantly in terms of accuracy.

Keywords： 深度学习；推荐系统；高速公路网络；块坐标梯度下降    

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Dynamic modeling of flexible-links planar parallel robots

DU Zhaocai, YU Yueqing, ZHANG Xuping, DU Zhaocai

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 232-237 doi: 10.1007/s11465-008-0032-3

Abstract: flexible-links planar parallel robot is well illustrated through numerical simulation of a planar 3-RR

Keywords： 3-RR parallel     KED     coupling     software SAMCEF     orientation    

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Recent advances and challenges of nitrogen/nitrate electro catalytic reduction to ammonia synthesis

Frontiers in Energy 2024, Volume 18, Issue 2,   Pages 128-140 doi: 10.1007/s11708-023-0908-2

Abstract: inline-formula>3− RRfor 3 − RR

Keywords： nitrate     nitrogen reduction reaction (NRR) to ammonia     nitrate reduction reaction (NO–3 RR    

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Synaptic devices based on semiconductor nanocrystals Review

Mingxuan BU, Yue WANG, Lei YIN, Zhouyu TONG, Yiqiang ZHANG, Deren YANG, Xiaodong PI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1579-1601 doi: 10.1631/FITEE.2100551

Abstract:

To meet a growing demand for information processing, brain-inspired neuromorphic devices have been intensively studied in recent years. As an important type of neuromorphic device, have attracted strong attention. Among all the kinds of materials explored for the fabrication of , s (NCs) have become one of the preferred choices due to their excellent electronic and optical properties. In this review, we first introduce the research background of based on semiconductor NCs and briefly present the basic properties of semiconductor NCs. Recent developments in the field of based on semiconductor NCs are then discussed according to the materials employed in the active layers of the devices. Finally, we discuss existing problems and challenges of based on semiconductor NCs.

Keywords： Semiconductor nanocrystal     Synaptic devices     Neuromorphic computing    

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Digital-to-analog converter free architecture for digital reconfigurable intelligent surface Research Article

Miaoran PENG,Jinhao KAN,Lixia XIAO,Guanghua LIU,Tao JIANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 12,   Pages 1752-1762 doi: 10.1631/FITEE.2300133

Abstract: a single-pole four-throw (SP4T) switch to simultaneously control the RCs of a group of elements, a 2-

Keywords： Reconfigurable intelligent surface     Hardware implementation     High-order modulation    

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Realizing complex beams via amplitude-phase digital coding metasurfaces and semidefinite relaxation optimization Research Article

武军伟1,2,3,华琼1,徐辉1,杨汉卿1,汪正兴1,程强1,崔铁军1,2,3

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 12,   Pages 1708-1716 doi: 10.1631/FITEE.2300146

Abstract: Complex beams play important roles in wireless communications, radar, and satellites, and have attracted great interest in recent years. In light of this background, we present a fast and efficient approach to realize complex beams by using (SDR) optimization and amplitude-phase digital coding metasurfaces. As the application examples of this approach, complex beam patterns with cosecant, flat-top, and double shapes are designed and verified using full-wave simulations and experimental measurements. The results show excellent main lobes and low-level side lobes and demonstrate the effectiveness of the approach. Compared with previous works, this approach can solve the complex beam-forming problem more rapidly and effectively. Therefore, the approach will be of great significance in the design of beam-forming systems in wireless applications.

Keywords： Antenna beams     Amplitude-phase coding metasurface     Far-field synthesis     Semidefinite relaxation    

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Advances and challenges in artificial intelligence text generation Review Article

Bing LI;Peng YANG;Yuankang SUN;Zhongjian HU;Meng YI;

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 1,   Pages 64-83 doi: 10.1631/FITEE.2300410

Abstract: Text generation is an essential research area in artificial intelligence (AI) technology and and provides key technical support for the rapid development of AI-generated content (AIGC). It is based on technologies such as , , and , which enable learning language rules through training models to automatically generate text that meets grammatical and semantic requirements. In this paper, we sort and systematically summarize the main research progress in text generation and review recent text generation papers, focusing on presenting a detailed understanding of the technical models. In addition, several typical text generation application systems are presented. Finally, we address some challenges and future directions in . We conclude that improving the quality, quantity, interactivity, and adaptability of generated text can help fundamentally advance development.

Keywords： AI text generation     Natural language processing     Machine learning     Deep learning    

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Model division multiple access for semantic communications Research Article

Ping ZHANG, Xiaodong XU, Chen DONG, Kai NIU, Haotai LIANG, Zijian LIANG, Xiaoqi QIN, Mengying SUN, Hao CHEN, Nan MA, Wenjun XU, Guangyu WANG, Xiaofeng TAO,pzhang@bupt.edu.cn,xuxiaodong@bupt.edu.cn,dongchen@bupt.edu.cn,niukai@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 801-812 doi: 10.1631/FITEE.2300196

Abstract: In a multi-user system, system resources should be allocated to different users. In traditional communication systems, system resources generally include time, frequency, space, and power, so technologies such as time division (TDMA), frequency division (FDMA), space division (SDMA), code division (CDMA), and non-orthogonal (NOMA) are widely used. In , which is considered a new paradigm of the next-generation communication system, we extract high-dimensional features from signal sources in a model-based artificial intelligence approach from a semantic perspective and construct a model information space for signal sources and channel features. From the high-dimensional semantic space, we excavate the shared and personalized information of semantic information and propose a novel technology, named (MDMA)%29&ck%5B%5D=abstract&ck%5B%5D=keyword'>, which is based on the resource of the semantic domain. From the perspective of information theory, we prove that MDMA can attain more performance gains than traditional technologies. Simulation results show that MDMA saves more bandwidth resources than traditional technologies, and that MDMA has at least a 5-dB advantage over NOMA in the additive white Gaussian noise (AWGN) channel under the low signal-to-noise (SNR) condition.

Keywords： Model division multiple access (MDMA)     Semantic communication     Multiple access    

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Microwave-assisted synthesis and antimicrobial activities of 2-aryl-3-(naphthalene-1 or 2-yl)-1,3-thiazolidin

Hua CHEN, Yanan LI, Jie BAI, Lian ZHAO, Xiangguo YUAN, Xiaoliu LI, Keqiang CAO

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 186-191 doi: 10.1007/s11705-009-0004-0

Abstract: 2-aryl-3-(naphthalene-1 or 2-yl)-1,3-thiazolidin-4-ones and were synthesized in 41%-67% yield by

Keywords： microwave-assisted synthesis     naphthyl     thiazolidin-4-one     antimicrobial    

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Ka-band broadband filtering packaging antenna based on through-glass vias (TGVs) Research Article

Zhen FANG, Jihua ZHANG, Libin GAO, Hongwei CHEN, Wenlei LI, Tianpeng LIANG, Xudong CAI, Xingzhou CAI, Weicong JIA, Huan GUO, Yong LI,zhenfang@std.uestc.edu.cn,jhzhang@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 916-926 doi: 10.1631/FITEE.2200573

Abstract: The BPF unit has three pairs of /4 slots (defect microstrip structure, DMS) and two /2 U-shaped slots

Keywords： Filtering packaging antenna (FPA)     Through-glass vias (TGVs)     3D packaging devices     Laser bonding    

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Band-gap tunable (GaxIn1−x)2O3 layer Research Articles

Fabi Zhang, Jinyu Sun, Haiou Li, Juan Zhou, Rong Wang, Tangyou Sun, Tao Fu, Gongli Xiao, Qi Li, Xingpeng Liu, Xiuyun Zhang, Daoyou Guo, Xianghu Wang, Zujun Qin,zhangfabi@outlook.com,qinzj@guet.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10,   Pages 1370-1378 doi: 10.1631/FITEE.2000330

Abstract: Multicomponent oxide (GaIn)O films are prepared on (0001) sapphire substrates to realize a tunable band-gap by technology followed by thermal annealing. The optical properties and band structure evolution over the whole range of compositions in ternary compounds (GaIn)O are investigated in detail. The X-ray diffraction spectra clearly indicate that (GaIn)O films with Ga content varying from 0.11 to 0.55 have both cubic and monoclinic structures, and that for films with Ga content higher than 0.74, only the monoclinic structure appears. The transmittance of all films is greater than 86% in the visible range with sharp absorption edges and clear fringes. In addition, a blue shift of ultraviolet absorption edges from 380 to 250 nm is noted with increasing Ga content, indicating increasing band-gap energy from 3.61 to 4.64 eV. The experimental results lay a foundation for the application of transparent conductive compound (GaIn)O thin films in photoelectric and photovoltaic industry, especially in display, light-emitting diode, and solar cell applications.

Keywords： (GaxIn1−x)2O3薄膜；带隙可调谐；磁控溅射    

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A multipath routing algorithm for satellite networksbased on service demand and traffic awareness Research Article

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 844-858 doi: 10.1631/FITEE.2200507

Abstract: With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates, satellites have become an important part of data transmission in air-ground networks. However, due to the factors such as geographical location and people’s living habits, the differences in user’ demand for multimedia data will result in unbalanced network traffic, which may lead to network congestion and affect data transmission. In addition, in traditional transmission, the convergence of network information acquisition is slow and global network information cannot be collected in a fine-grained manner, which is not conducive to calculating optimal routes. The service quality requirements cannot be satisfied when multiple service requests are made. Based on the above, in this paper artificial intelligence technology is applied to the , and a software-defined network is used to obtain the global network information, perceive network traffic, develop comprehensive decisions online through , and update the optimal routing strategy in real time. Simulation results show that the proposed algorithm has good convergence performance and strong generalizability. Compared with traditional routing, the throughput is 8% higher, and the proposed method has load balancing characteristics.

Keywords： Software-defined network (SDN)     Quick user datagram protocol Internet connection (QUIC)     Reinforcement learning     Sketch     Multi-service demand     Satellite network    

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Magnetically driven microrobotsmoving in a flow: a review Review Article

Jiamiao MIAO, Xiaopu WANG, Yan ZHOU, Min YE, Hongyu ZHAO, Ruoyu XU, Huihuan QIAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1520-1540 doi: 10.1631/FITEE.2300054

Abstract: Magnetically driven s hold great potential to perform specific tasks more locally and less invasively in the human body. To reach the lesion area in vivo, s should usually be navigated in ing blood, which is much more complex than static liquid. Therefore, it is more challenging to design a corresponding precise scheme. A considerable amount of work has been done regarding of magnetic s in a and the corresponding theories. In this paper, we review and summarize the state-of-the-art research progress concerning magnetic s in blood , including the establishment of systems, of motion, and methods. In addition, current challenges and limitations are discussed. We hope this work can shed light on the efficient of s in complex environments and accelerate the study of s for clinical use.

Keywords： Microrobot     Flow     Dynamics modeling     Control    

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Title Author Date Type Operation

RR1 and RR2 gene deletion affects the immunogenicity of a live attenuated pseudorabies

Shijun YAN,He YAN,Chaolin ZHANG,Tongyan WANG,Qingyuan YANG,Zhe SUN,Yan XIAO,Feifei TAN,Xiangdong LI,Kegong TIAN

Journal Article

Single-atom catalysis: a promising avenue for precisely controlling reaction pathways

Journal Article

HAM: a deep collaborative ranking method incorporating textual information

Cheng-wei Wang, Teng-fei Zhou, Chen Chen, Tian-lei Hu, Gang Chen,rr@zju.edu.cn,zhoutengfei@zju.edu.cn

Journal Article

Dynamic modeling of flexible-links planar parallel robots

DU Zhaocai, YU Yueqing, ZHANG Xuping, DU Zhaocai

Journal Article

Recent advances and challenges of nitrogen/nitrate electro catalytic reduction to ammonia synthesis

Journal Article

Synaptic devices based on semiconductor nanocrystals

Mingxuan BU, Yue WANG, Lei YIN, Zhouyu TONG, Yiqiang ZHANG, Deren YANG, Xiaodong PI

Journal Article

Digital-to-analog converter free architecture for digital reconfigurable intelligent surface

Miaoran PENG,Jinhao KAN,Lixia XIAO,Guanghua LIU,Tao JIANG

Journal Article

Realizing complex beams via amplitude-phase digital coding metasurfaces and semidefinite relaxation optimization

武军伟1,2,3,华琼1,徐辉1,杨汉卿1,汪正兴1,程强1,崔铁军1,2,3

Journal Article

Advances and challenges in artificial intelligence text generation

Bing LI;Peng YANG;Yuankang SUN;Zhongjian HU;Meng YI;

Journal Article

Model division multiple access for semantic communications

Ping ZHANG, Xiaodong XU, Chen DONG, Kai NIU, Haotai LIANG, Zijian LIANG, Xiaoqi QIN, Mengying SUN, Hao CHEN, Nan MA, Wenjun XU, Guangyu WANG, Xiaofeng TAO,pzhang@bupt.edu.cn,xuxiaodong@bupt.edu.cn,dongchen@bupt.edu.cn,niukai@bupt.edu.cn

Journal Article

Microwave-assisted synthesis and antimicrobial activities of 2-aryl-3-(naphthalene-1 or 2-yl)-1,3-thiazolidin

Hua CHEN, Yanan LI, Jie BAI, Lian ZHAO, Xiangguo YUAN, Xiaoliu LI, Keqiang CAO

Journal Article

Ka-band broadband filtering packaging antenna based on through-glass vias (TGVs)

Zhen FANG, Jihua ZHANG, Libin GAO, Hongwei CHEN, Wenlei LI, Tianpeng LIANG, Xudong CAI, Xingzhou CAI, Weicong JIA, Huan GUO, Yong LI,zhenfang@std.uestc.edu.cn,jhzhang@uestc.edu.cn

Journal Article

Band-gap tunable (GaxIn1−x)2O3 layer

Fabi Zhang, Jinyu Sun, Haiou Li, Juan Zhou, Rong Wang, Tangyou Sun, Tao Fu, Gongli Xiao, Qi Li, Xingpeng Liu, Xiuyun Zhang, Daoyou Guo, Xianghu Wang, Zujun Qin,zhangfabi@outlook.com,qinzj@guet.edu.cn

Journal Article

A multipath routing algorithm for satellite networksbased on service demand and traffic awareness

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Journal Article

Magnetically driven microrobotsmoving in a flow: a review

Jiamiao MIAO, Xiaopu WANG, Yan ZHOU, Min YE, Hongyu ZHAO, Ruoyu XU, Huihuan QIAN

Journal Article