检索结果-内蒙古大学图书馆

Convenient synthesis and delivery of a megabase-scale designer accessory chromosome empower biosynthetic capacity

细胞研究（英文版） 2024年第4期34卷 309-322页

作者： Yuan Ma Shuxin Su Zongheng Fu Chu Zhou Bin Qiao Yi Wu Ying-Jin Yuan Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina Frontiers Research Institute for Synthetic Biology Tianjin UniversityTianjinChina Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina

Synthetic biology confers new functions to hosts by introducing exogenous genetic elements,yet rebuilding complex traits that are based on large-scale genetic information remains ***,we developed a CRISPR/Cas9-mediated haploidization method that bypasses the natural process of *** on the programmed haploidization in yeast,we further developed an easy-to-use method designated HAnDy(Haploidization-based DNA Assembly and Delivery in yeast)that enables efficient assembly and delivery of large DNA,with no need for any fussy in vitro *** HAnDy,a de novo designed 1.024 Mb synthetic accessory chromosome(synAC)encoding 542 exogenous genes was parallelly assembled and then directly transferred to six phylogenetically diverse *** synAC significantly promotes hosts'adaptations and increases the scope of the metabolic network,which allows the emergence of valuable *** approach should facilitate the assembly and delivery of large-scale DNA for expanding and deciphering complex biological functions.

关键词： designer empower accessory biosynthetic capacity chromosome convenient delivery megabase-scale synthesis

来源：评论

学校读者我要写书评

暂无评论

Real-Time Event Recognition of Long-Distance Distributed Vibration Sensing With Knowledge Distillation and Hardware Acceleration

引用

IEEE Internet of Things Journal 2025年第11期12卷 17896-17905页

作者： Luo, Zhongyao Wu, Hao Ge, Zhao Tang, Ming Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Next Generation Internet Access National Engineering Laboratory Hubei Optics Valley Laboratory School of Optical and Electronic Information Wuhan430074 China

Fiber-optic sensing, especially distributed optical fiber vibration (DVS) sensing, is gaining importance in internet of things (IoT) applications, such as industrial safety monitoring and intrusion detection. Despite their wide application, existing post-processing methods that rely on deep learning models for event recognition in DVS systems face challenges with real-time processing of large sample data volumes, particularly in long-distance applications. To address this issue, we propose to use a four-layer convolutional neural network (CNN) as the student model with ResNet as the teacher model for knowledge distillation. Compared to the baseline CNN model, which achieves 83.41% accuracy on data from previously untrained environments, the distilled CNN improves accuracy significantly to 95.39%, demonstrating its superior generalizability and robustness. Additionally, we propose a novel hardware design based on field-programmable gate arrays (FPGA) to further accelerate model inference. This design replaces multiplication with binary shift operations and quantizes model weights, enabling high parallelism and low latency. Our implementation achieves an inference time of 0.083 ms for a spatial-temporal sample covering a 12.5 m fiber length and 0.256 s time frame. This performance enables real-time signal processing over approximately 38.55 km of fiber, about 2.14× the capability of an Nvidia GTX 4090 GPU. The proposed method greatly enhances the efficiency of vibration pattern recognition, promoting the use of DVS as a smart IoT system. The data and code are available at https://***/HUST-IOF/Efficient-DVS. © 2014 IEEE.

关键词： Multilayer neural networks

来源：评论

学校读者我要写书评

暂无评论

Sweat colorimetric detection system based on OpenMV 5

Sweat colorimetric detection system based on OpenMV

引用

5th International Conference on Machine Learning and Computer Application, ICMLCA 2024

作者： Meng, Yuanyuan Chen, Yanxia Li, Chennong Liu, Yandi Qin, Lei Beijing Information Science & Technology University Beijing Sensor Key Laboratory Beijing100101 China College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150006 China

ISBN: (纸本)9798331530334

The demand for real-time sweat biosensing is increasing in daily health monitoring. Colorimetric detection, as a simple and intuitive method, plays an important role in sweat biosensing. However, achieving an instant and effective colorimetric detection remains a challenge in real-time sweat biosensing for daily health monitoring. Herein, we design a sweat colorimetric detection system based on OpenMV. The colorimetric detection system is capable of sensitively capturing images and quickly recognizing color changes. The colorimetric detection system based on OpenMV provides a simple and effective technology to realize real-time sweat detection and shows great potential as a colorimetric detection system platform for color recognition and image processing. We believe that our colorimetric detection system will have great potential applications and offer effective means for the design of smart biosensors and have great potential in the development of portable and intelligent sweat analysis equipment. © 2024 IEEE.

关键词： Color image processing

来源：评论

学校读者我要写书评

暂无评论

Adaptive Successive POI Recommendation via Trajectory Sequences Processing and Long Short-Term Preference Learning

引用

Computers, Materials & Continua 2024年第10期81卷 685-706页

作者： Yali Si Feng Li Shan Zhong Chenghang Huo Jing Chen Jinglian Liu School of Computer Science and Engineering Changshu Institute of TechnologyChangshu215500China Suzhou Industrial Intelligence and Big Data Laboratory Suzhou215000China School of Information Science and Engineering Yanshan UniversityQinhuangdao066004China College of Electronic and Information Engineering Guangdong Ocean UniversityZhanjiang524088China

Point-of-interest(POI)recommendations in location-based social networks(LBSNs)have developed rapidly by incorporating feature information and deep learning ***,most studies have failed to accurately reflect different users’preferences,in particular,the short-term preferences of inactive *** better learn user preferences,in this study,we propose a long-short-term-preference-based adaptive successive POI recommendation(LSTP-ASR)method by combining trajectory sequence processing,long short-term preference learning,and spatiotemporal ***,the check-in trajectory sequences are adaptively divided into recent and historical sequences according to a dynamic time ***,an adaptive filling strategy is used to expand the recent check-in sequences of users with inactive check-in behavior using those of similar active *** further propose an adaptive learning model to accurately extract long short-term preferences of users to establish an efficient successive POI recommendation system.A spatiotemporal-context-based recurrent neural network and temporal-context-based long short-term memory network are used to model the users’recent and historical checkin trajectory sequences,*** experiments on the Foursquare and Gowalla datasets reveal that the proposed method outperforms several other baseline methods in terms of three evaluation *** specifically,LSTP-ASR outperforms the previously best baseline method(RTPM)with a 17.15%and 20.62%average improvement on the Foursquare and Gowalla datasets in terms of the Fβmetric,respectively.

关键词： Location-based social networks adaptive successive point-of-interest recommendation long short-term preference trajectory sequences

来源：评论

学校读者我要写书评

暂无评论

High-speed interconnect transmission structure design and optimization in 3D integrated system 26

High-speed interconnect transmission structure design and op...

引用

26th Electronics Packaging technology Conference, EPTC 2024

作者： Li, Cun-Long Li, Zhen-Song Yuan, Cheng-Hao Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9798331522001

In this paper, a novel vertical interconnect transmission structure working at 0.1-20 GHz frequency is proposed. During the fabrication process of the package, the manufacturing of vertical interconnect structures is often limited by the process. To address signal integrity and impedance matching between the transmission lines and vertical interconnect structures, a vertical transition structure from microstrip line to coplanar waveguide is proposed. The proposed transmission structure model consists of two signal through-silicon-vias (TSVs), two microstrip coplanar waveguide transmission lines and one pad. The simulation result of the finite element model of this proposed transmission structure shows that the return loss (S11) is less than -30 dB and the overall insertion loss (S21) is greater than -0.2 dB, which means low loss high-speed vertical interconnect transmission structure design is possible by carefully design the vertical interconnect structure. By optimizing key parameters such as the pad radius, the width of the coplanar waveguide transmission line and the substrate material, the transmission performance of this vertical interconnect structure is enhanced and the structure meets the requirements of modern manufacturing processes. This proposed vertical interconnect structure design rule gives a good reference of how to meet the high-speed vertical transmission demand under the mature process technology. © 2024 IEEE.

关键词： Coplanar waveguides

来源：评论

学校读者我要写书评

暂无评论

Plane-controlled growth strategy improves electrochemical performance of cobalt-free LiNi0.9Mn0.1O2 cathode

引用

Progress in Natural science:Materials International 2024年第3期34卷 569-577页

作者： Hao Tong Xun Yuan Ningbo Qin Yaocong Han Yan Cheng Fangli Ji Ruirui Tuo Changlang Liang Yi Wang Qilin Tong Zhaozhe Yu Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology Guilin University of Electronic Technology Guangxi CNGR New Energy Science & Technology Co. LTD. Guangxi Institute of Science and Technology Development Co. LTD. School of Chemistry and Chemical Engineering Guangxi Minzu University

The ultra-high nickel-layered cathodes（Ni ≥ 90 %） has garnered significant attention due to its high specific capacity. However, the widespread application of ultra-high nickel-layered cathodes still suffers limitation by structural instability and poor rate performance. Herein, a crystal-face-induced strategy is proposed to enhance rate and cycling performances of the electrode by constructing rapid Li+diffusion channel and reducing internal grain boundaries of secondary particles. The crystal-face-induced strategy facilitates the growth of {010} lattice plane. Highly exposed {010} planes provide wide-open and unobstructed channels for Li+deintercalation/intercalation, enhances the electrode diffusion kinetics, and thus improves the electrode rate performance. In addition, this strategy promotes the primary particle growth, reduces the grain boundaries of secondary particles and mitigates the electrode/electrolyte interface side reactions, enhancing the structural stability and cycling life of the electrode. Accordingly, the modified sample achieved a reversible specific capacity of 198.3 mAh g-1at 1 C(1 C = 180 mA g-1) and maintained a capacity retention rate of 88.5 % after 100 cycles, higher than that of the original sample(73.6 %, 146 mAh g-1). At the high rate of 5 C, it can maintain a high specific capacity of 178mAh g-1（capacity retention rate of 99 %） after 150 cycles. This work is a leap in ultra-high nickel-layered cathodes development and provides insights into the design of electrode materials for other batteries.

关键词： Plane-controlled growth strategy Cobalt-free nickel-rich cathode Rate and cycling performances Lithium-ion battery

来源：评论

学校读者我要写书评

暂无评论

AF-Net: Appearance-based Gaze Estimation via Adversarial Network and Attention

IAENG International Journal of Computer Science

引用

IAENG International Journal of Computer science 2025年第4期52卷 1213-1221页

作者： Wang, Bokun Yuan, Yuan Optoelectronic Information Sensing Technology Laboratory at the School of Optoelectronic Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Optoelectronic Device Systems Innovation Laboratory at the School of Optoelectronic Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China

Traditional appearance-based gaze estimation methods suffer from insufficient generalization in complex natural environments. Addressing the limitations of standard convolutional networks, which are unable to selectively adjust feature layer parameters and do not fully leverage multi-channel input information, this paper proposes a Feature Fusion and Adversarial Network (AF-Net), consisting of an extraction network and a fusion network. The extraction network incorporates an adversarial module that employs adversarial optimization to more accurately extract features relevant to gaze estimation. The fusion network, on the other hand, merges features from multiple channels and adaptively assigns weights to each channel through an attention mechanism, thereby obtaining a more precise gaze direction. Experimental results on three public datasets demonstrate that our method outperforms mainstream CNN approaches in terms of accuracy in unconstrained natural environment gaze estimation. © (2025), (International Association of Engineers). All rights reserved.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Ultra-low power MoS2 optoelectronic synapse with wavelength sensitivity for color target recognition

引用

science China(information sciences) 2025年第4期68卷 187-196页

作者： Bo WEI Yabo CHEN Xiaotong HAN Yan KANG Bujia LIANG Cheng LI Xiaokuo YANG Liang FANG Yuanxi PENG Institute for Quantum Information & State Key Laboratory of High Performance Computing College of ComputerNational University of Defense Technology Fundamentals Department Air Force Engineering University College of Advanced Interdisciplinary Studies National University of Defense Technology Institute of Quantum Information Science and Technology College of ScienceNational University of Defense Technology College of Computer National University of Defense Technology

Optoelectronic synapses that integrate visual perception and pre-processing hold significant potential for neuromorphic vision systems（NVSs）. However, due to a lack of wavelength sensitivity, existing NVS mainly focuses on gray-scale image processing, making it challenging to recognize color images. Additionally, the high power consumption of optoelectronic synapses, compared to the 10 fJ energy consumption of biological synapses, limits their broader application. To address these challenges, an energy-efficient NVS capable of color target recognition in a noisy environment was developed,utilizing a MoS2optoelectronic synapse with wavelength sensitivity. Benefiting from the distinct photon capture capabilities of 450, 535, and 650 nm light, the optoelectronic synapse exhibits wavelength-dependent synaptic plasticity, including excitatory postsynaptic current（EPSC）, paired-pulse facilitation（PPF）, and long-term plasticity（LTP）. These properties can effectively mimic the visual memory and color discrimination functions of the human vision system. Results demonstrate that the NVS, based on MoS2optoelectronic synapses, can eliminate the color noise at the sensor level, increasing color image recognition accuracy from 50% to 90%. Importantly, the optoelectronic synapse operates at a low voltage spike of0.0005 V, consuming only 0.075 fJ per spike, surpassing the energy efficiency of both existing optoelectronic and biological synapses. This ultra-low power, color-sensitive device eliminates the need for color filters and offers great promise for future deployment in filter-free NVS.

关键词： optoelectronic synapse neuromorphic vision system color recognition 2D materials image pre-processing

来源：评论

学校读者我要写书评

暂无评论

Security of quantum key distribution with virtual mutually unbiased bases

引用

science China(Physics,Mechanics & Astronomy) 2024年第7期67卷 13-21页

作者： Hong-Wei Li Chen-Peng Hao Zhi-Jiang Chen Li Gong Yi-Fei Lu Yang Wang Jia-Ji Li Chun-Mei Zhang Rong Wang Zhen-Qiang Yin Qing-Yu Cai Henan Key Laboratory of Quantum Information and Cryptography SSF IEUZhengzhou 450000China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Department of Physics University of Hong KongHong Kong 999077China Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China School of Information and Communication Engineering Hainan UniversityHaikou 570228China

In a perfect quantum key distribution(QKD)protocol,quantum states should be prepared and measured with mutually unbiased bases(MUBs).However,in a practical QKD system,quantum states are generally prepared and measured with imperfect MUBs using imperfect devices,possibly reducing the secret key rate and transmission *** analyze the security of a QKD system with imperfect MUBs,we propose virtual MUBs to characterize the quantum channel against collective attack,and analyze the corresponding secret key rate under imperfect state preparation and measurement *** generally,we apply the advantage distillation method for analyzing the security of QKD with imperfect MUBs,where the error tolerance and transmission distance can be sharply *** analysis method can be applied to benchmark and standardize a practical QKD system,elucidating the security analysis of different QKD protocols with imperfect devices.

关键词： quantum key distribution mutually unbiased bases advantage distillation

来源：评论

学校读者我要写书评

暂无评论

Forecasting Breakthroughs: Identifying Future Leaders in the Semiconductor Industry

Forecasting Breakthroughs: Identifying Future Leaders in the...

引用

2024 systems and information engineering Design Symposium, SIEDS 2024

作者： Rogers, Adam Dibsie, Carter Kuzneski, Ethan Underwood, David Brozey, Robert Sullivan, Lauren Robinson, Donald Porter, Michael D. University of Virginia Systems and Information Engineering United States Titus Technology LLC United States University of Virginia Systems and Information Engineering Data Science United States

ISBN: (纸本)9798350385144

Breakthrough technologies have the potential to disrupt markets and society. Anticipating such disruptions is crucial for policymakers, investors, and businesses in being proactive with regard to regulatory policies and in allocating resources effectively. This project aims to develop an analytical approach to identify companies that will lead in developing breakthrough technologies. The analysis focuses on the semiconductor industry, which has seen rapid growth in recent decades, surging from 139 billion in revenue in 2001 to 573.5 billion in 2022. Our systematic approach to predicting technological disruption in the semiconductor industry involves leveraging a combination of quantitative company data, human-centric elements, and feature engineering. Data was collected on 244 private semiconductor companies between 2012 and 2018, encompassing information about leadership profiles, research endeavors, media exposure, and financial performance. Two models were developed: A penalized regression model, and a boosted tree model, both aimed at forecasting the probability of a company achieving a valuation exceeding 500 million within five years of its first funding deal. Key variables such as the number of employees, year founded, total invested equity, number of active patents, and country of origin emerged as significant predictors of company success. This paper discusses the performance of our models and explores applying our findings to identify disruptive companies across industries. © 2024 IEEE.

关键词： Semiconductor device manufacture

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：