检索结果-内蒙古大学图书馆

Enhancing Drug Synergy Combination: Integrating Graph Transformers and BiLSTM for Accurate Drug Synergy Prediction

IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页

作者： Sun, Bin Du, Haoze Hou, Shumei Hu, Qingkai Pang, Xiaoxiao Wei, Dongqing Wang, Xianfang Henan Institute of Technology School of Computer Science and Technology Henan Xinxiang453003 China North Carolina State University Department of Computer Science Raleigh27695 United States Shanghai Jiao Tong University State Key Laboratory of Microbial Metabolism School of Life Sciences and Biotechnology Shanghai200240 China

Combination therapy of drugs showed significant potential in treating complex diseases by overcoming drug resistance and improving therapeutic efficacy. However, due to the rapid increase in the number of available drugs, the cost and time required for experimentally screening synergistic drug combinations became increasingly burdensome. In this work, we proposed a novel drug synergy prediction model called GraphTranSynergy, which utilized graph transformer and BiLSTM to capture the molecular structure of drugs and gene expression features of cell lines. GraphTranSynergy extracted graphical features of drug pairs through the graph transformer module and integrated information from the BiLSTM module to extract useful features from gene expression profiles of cell lines. The final prediction of drug synergy was made through a fully connected neural network. Our model achieved AUC and PRAUC scores of 0.94, outperforming most existing models. Independent test results demonstrated that GraphTranSynergy exhibited superior generalization ability on the AstraZeneca dataset, particularly excelling in ACC and TPR metrics. Through a series of experiments and analyses, our model not only improved prediction accuracy but also demonstrated advantages in biological interpretability. © 2013 IEEE.

关键词： AI-Assisted Drug Design Deep Learning Drug Combination Drug Synergy Graph Transformer

来源：评论

学校读者我要写书评

暂无评论

Research on the pressure variation law and enhancing CBM extraction application effect of CO_(2) phase transition jet coal seam fracturing technology

引用

Frontiers of Earth science 2023年第3期17卷 867-883页

作者： Xin BAI Zhuoli ZHOU Guicheng HE Dongming ZHANG Han YANG Zenrui FAN Dengke WANG School of Resources Environment and Safety Engineering University of South ChinaHengyang 421001China State Key Laboratory Cultivation Base for Gas Geology and Gas Control Henan Polytechnic UniversityJiaozuo 454000China Key Laboratory of Safety and High-efficiency Coal Mining(Ministry of Education) Anhui University of Science and TechnologyHuainan 232001China School of Resources and Safety Engineering Chongqing UniversityChongqing 400044China China Coal Technology Engineering Group Chongqing Research Institute Chongqing 400037China

Due to the limited permeability and high methane content of the majority of China’s coal seams,significant coal mining gas disasters frequently *** is an urgent need to artificially improve the permeability of coalbed methane(CBM)reservoirs,enhance the recovery efficiency of CBM and prevent mine gas *** a novel coal rock fracture technology,the CO_(2) phase transition jet(CPTJ)has been widely used due to its advantages of safety and high fragmentation *** this study,to ascertain the effects of the pressure of CPTJ fracturing,the influence of its jet pressure on cracked coal rock was revealed,and its effect on CBM extraction was *** this research,the law of CPTJ pressure decay with time was investigated using experimental and theoretical *** on the results,the displacement and discrete fracture network law of CPTJ fracturing coal rock under different jet pressure conditions were studied using particle flow code numerical ***,field experiments were conducted at the Shamushu coal mine to assess the efficiency of CPTJ in enhancing CBM *** results showed that the pressure of the CPTJ decreased exponentially with time and significantly influenced the number and expansion size of cracks that broke coal rock but not their direction of *** technology can effectively increase the number of connected microscopic pores and fractures in CBM reservoirs,strongly increase the CBM drainage flow rate by between 5.2 and 9.8 times,and significantly reduce the CBM drainage decay coefficient by between 73.58%and 88.24%.

关键词： coalbed methane(CBM) CO_(2)phase transition jet pressure evolution damage of coal CBM drainage

来源：评论

学校读者我要写书评

暂无评论

Process parametric optimization of spark plasma sintered Ni–Cr–ZrO2 composites using response surface methodology (RSM)

引用

International Journal of Lightweight Materials and Manufacture 2024年第1期7卷 14-24页

作者： Oketola, Adeola Jamiru, Tamba Ogunbiyi, Olugbenga Rominiyi, Azeez Lawan Smith, Salifu Adedayo, Ojo David Department of Mechanical and Mechatronics Engineering Tshwane University of Technology Pretoria South Africa Department of Mechanical and Industrial Engineering University of Johannesburg Doornfontein Campus Johannesburg2028 South Africa Centre for Nanomechanics and Tribocorrosion School of Mining Metallurgy and Chemical Engineering University of Johannesburg South Africa Department of Computer Science Osun State Polytechnic Osun State Iree Nigeria

Materials properties are highly dependent on the processing parameters and technique used during sintering. The effect of Spark Plasma sintering process parameters (pressure and temperature) on the hardness and relative density of Ni–20Cr–5ZrO2 composite was investigated. Response Surface Methodology (RSM) from the design of experiment (DOE) technique was successfully employed for the experimental design, and statistical analysis was conducted on the obtained experimental results. The microstructural analysis of the sintered composite showed the presence of solid solution phases of Ni and Cr, which were confirmed by the XRD results as (Cr,Ni) alongside unreacted ZrO2 particles at sintering temperatures of 950 °C and 1000 °C. The validity of the model developed with the impact of each variable and their corresponding interaction on the responses was performed using analysis of variance (ANOVA). The relative density and hardness were the two responses considered. The actual values (experiment data) and expected values (simulated data) were subjected to statistical analysis, to develop a predictive model that synchronizes density and hardness as distinct process parameters, with material hardness and relative density serving as the responses of the specified experiment. For the responses, quantitative models were created, and 10 experimental runs were processed to ascertain the desirability of the responses. The SPS processing parameters considered the most desirable were 1000 °C sintering temperature and 50 MPa pressure. The hardness property obtained under this condition is 433.23 HV with a relative density of 98.15%. © 2023 The Authors

关键词： Design of experiments

来源：评论

学校读者我要写书评

暂无评论

A method for detecting floating objects on water based on edge computing

A method for detecting floating objects on water based on ed...

引用

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2023

作者： Li, He Yang, Shuaipeng Liu, Jinjiang Fang, Honglin Fu, Zhumu Zhang, Rui Jia, Huimei Lv, Lianmeng Henan Costar Group Co. Ltd Henan Nanyang473003 China Henan University of Science and Technology College of Information Engineering Henan Luoyang471000 China Nanyang Normal University Henan Engineering Research Center of Intelligent Processing for Big Data of Digital Image School of Computer Science and Technology Nanyang473061 China Beijing University of Posts and Telecommunication State Key Laboratory of Networking and Switching Technology Beijing100876 China Xi'an Hengpin Electronic Technology Co. Ltd Xi'an710100 China

ISBN: (纸本)9798350321524

With the development and application of computer vision, many target detection networks are applied to the detection of floating objects in rivers. For the detection problems such as small targets easily missed and misdetected in water surface floating object detection tasks and difficult to deploy models. An edge computing-oriented approach to river floater detection is proposed. First, a four-fold down-sampling feature layer is added to the YOLOv5 network which enhances more target detail features and improves the detection capability of small objects. Second, CA (Coordinate Attention) is added to the Backbone to suppress background noise interference, and different pooling is used to accommodate different hierarchical features. Then, a bilinear interpolation method is adopted for up-sampling to avoid the loss of small object features. Design a data enhancement algorithm for small targets based on Mosaic to increase the number of small objects and enrich the training background. Finally, for the edge computing architecture platform, the channel pruning algorithm is used to prune and compress the model structure to adapt to the computing capability of edge devices. The experimental results show that the method can effectively improve the detection capability of the network for floating objects on the water surface. The detection accuracy can reach 93.6%, and the detection speed can be maintained at 36 frames per second, which can achieve high-precision real-time detection of floating objects on the water surface. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Two-factor ( biometric and password) authentication key exchange on lattice based on key consensus

引用

The Journal of China Universities of Posts and Telecommunications 2020年第6期27卷 42-53页

作者： Zhao Zongqu Ma Shaoti Wang Yongjun Tang Yongli Ye Qing College of Computer Science and Technology Henan Polytechnic UniversityJiaozuo 454000China

In the post-quantum era,the password-based authentication key exchange(PAKE)protocol on lattice has the characteristics of convenience and high efficiency,however these protocols cannot resist online dictionary attack that is a common method used by attackers.A lattice-based two-factor(biometric and password)authentication key exchange(TFAKE)protocol based on key consensus(KC)is *** protocol encapsulates the hash value of biometric information and password through a splittable encryption method,and compares the decapsulated information with the server's stored value to achieve the dual identity *** the protocol utilizes the asymmetric hash structure to simplify the calculation steps,which increases the calculation ***,KC algorithm is employed in reducing data transmission *** with the current PAKE protocol,the proposed protocol has the characteristics of hybrid authentication and resisting online dictionary *** it reduces the number of communication rounds and improves the efficiency and the security of protocol application.

关键词： KC biometric key exchange password

来源：评论

学校读者我要写书评

暂无评论

A Performance Investigation of Genetic Algorithm with Different Evolutionary Operators 11

A Performance Investigation of Genetic Algorithm with Differ...

引用

11th International Conference on Machine Intelligence Theory and Applications, MiTA 2024

作者： Li, Jian-Yu Shao, Zhao-Kun Wang, Zi-Jia Zhang, Yuhui Zhu, Ruoyu Chen, Zong-Gan Li, Tao Nankai University College of Artificial Intelligence Tianjin300350 China Hanyang University College of Electrical and Electronic Engineering Ansan15588 Korea Republic of Guangzhou University College of Software Engineering Guanzhou510006 China Dongguan University of Technology College of Computer Science and Technology Dongguan523808 China South China Normal University School of Computer Science Guangzhou510631 China Henan Normal University College of Computer and Information Engineering Xinxiang453007 China

ISBN: (纸本)9798350385670

Genetic Algorithm (GA) as a bio-inspired optimization technique, has shown significant potential for applications in many fields. This paper aims to provide a comprehensive overview of the main types of evolutionary operators in GA - selection, crossover, and mutation, which have a direct and significant influence on optimization performance. First, this study systematically summarizes the various evolutionary operators currently used in the field of GA. Subsequently, these different operators are embedded into the standard GA framework to assess their influence on algorithm performance. Last, this paper also explores the effect of setting crossover and mutation rates on GA performance, determining the optimal values of these parameters through a series of experiments. This research not only offers a comprehensive overview of the evolutionary operators in GA but also demonstrates the specific performance of different operator combinations through empirical evidence, providing valuable reference for further research and application of GA. © 2024 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

TEDC: Temporal-aware Edge Data Caching with Specified Latency Preference

TEDC: Temporal-aware Edge Data Caching with Specified Latenc...

引用

IEEE International Conference on Web Services (ICWS)

作者： Guobing Zou Ya Liu Song Yang Shengxiang Hu Yanglan Gan Bofeng Zhang School of Computer Engineering and Science Shanghai University Shanghai China Department of Computer Science and Technology Tongji University Shanghai China School of Computer Science and Technology Donghua University Shanghai China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai China

ISBN: (数字)9798350368550

ISBN: (纸本)9798350368567

Recently, the edge data caching (EDC) problem has received much attention. It aims to appropriately cache data on edge servers. Existing EDC approaches suffer from a series of limitations. First, they often overlook the diverse characteristics of data, including caching costs and latency preferences. In reality, different types of data vary in size and require different storage resources for caching. The impact of specified latency preferences of edge users for different data on the quality of experience should be considered in the EDC problem. Second, the temporal dynamics of edge users’ data requests and distributions have been insufficiently addressed. To overcome these limitations systematically, this paper focuses on the problem of temporal-aware edge data caching with specified latency preference (TEDC). We first formulate the TEDC problem and transform it into an optimization problem with multiple objectives and global constraints and prove its ${\mathcal{N}}{\mathcal{P}}$-hardness. Then, we propose an optimal approach named TEDC-IP to solve this TEDC problem with the Integer Programming technique and a heuristic algorithm named TEDC-A for finding approximate solutions to large-scale TEDC problems efficiently. Extensive experiments are conducted on two widely-used real-world datasets to evaluate the performance of our approach. The results demonstrate that TEDC-IP and TEDC-A significantly outperform state-of-the-art approaches in finding approximate solutions in terms of the trade-off among multiple metrics.

关键词： Integer programming Measurement Costs Web services Transforms Regulation Servers Security Quality of experience Optimization

来源：评论

学校读者我要写书评

暂无评论

Development of the Illumination System of Recombination Sensor for Compound Concentration Measurements 14

Development of the Illumination System of Recombination Sens...

引用

14th International Conference on Measurement, MEASUREMENT 2023

作者： Kochan, O. Ning, X. Su, J. Sus, B. Kozynets, O. Lytvynenko, S. Ivanyshyn, A. Hubei University of Technology School of Computer Science Wuhan China Lviv Polytechnic National University Lviv Ukraine Taras Shevchenko National University of Kyiv Kyiv Institute of High Technologies Kyiv Ukraine

ISBN: (纸本)9788097262976

The technical implementation of the illumination device for the semiconductor sensor structures with the recombination principle of operation is suggested. The change in the state of charge is recorded from measurements of the photocurrent in various points on the illuminated surface with light from the region of strong optical absorption in silicon. The developed recombination sensors use new physical principles of transformation of external influence into a useful signal. It is shown that the portable versions of devices using the proposed sensors can be easily integrated into various automated systems for monitoring the condition of the human body or the external environment. © 2023 Institute of Measurement science, Slovak Academy o.

关键词： Light emitting diodes

来源：评论

学校读者我要写书评

暂无评论

Prediction of network attack profit path based on NAPG model

引用

The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 91-102页

作者： Liu Kun Wang Hui Shen Zihao College of Computer Science and Technology Henan Polytechnic UniversityJiaozuo 454000China

The network attack profit graph(NAPG)model and the attack profit path predication algorithm are presented herein to cover the shortage of considerations in attacker’s subjective factors based on existing network attack path prediction ***,the attack profit is introduced,with the attack profit matrix designed and the attack profit matrix generation algorithm given ***,a path profit feasibility analysis algorithm is proposed to analyze the network feasibility of realizing profit of attack ***,an opportunity profit path and an optimal profit path are introduced with the selection algorithm and the prediction algorithm designed for accurate prediction of the *** to the experimental test,the network attack profit path predication algorithm is applicable for accurate prediction of the opportunity profit path and the optimal profit path.

关键词： network attack graph technology attack profit profit matrix attack profit rate network path prediction

来源：评论

学校读者我要写书评

暂无评论

AdvUSL: Targeted Adversarial Attack against U-shaped Split Learning

AdvUSL: Targeted Adversarial Attack against U-shaped Split L...

引用

IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Yunxiao He Chunqiang Hu Yuwen Pu Jiahao Chen Xingwang Li School of Big Data & Software Engineering Chongqing University Chongqing China College of Computer Science and Technology Zhejiang University Zhejiang China College of Physics and Electronic Information Engineering Henan Polytechnic University Henan China

ISBN: (数字)9798350363999

ISBN: (纸本)9798350364002

Split Learning is an emerging Distributed Machine Learning which allows clients and the server to collaborative train a model by splitting it successively. This approach not only addresses data scarcity, but also enhances data privacy while reducing communication and computation overhead. However, existing research on the security of Split Learning primarily focuses on privacy protection, neglecting model security. To fill this gap, we propose AdvUSL, a targeted adversarial attack method against U-shaped Split Learning. AdvUSL trains a surrogate model inexpensively with a small amount of labeled data; matches intermediate embedding and labels to infer clients' labels, and uses the matched embeddings as anchors to conduct targeted adversarial attacks. Comprehensive experiments demonstrate that AdvUSL outperforms traditional white-box adversarial attacks, validating the effectiveness of our method.

关键词： Training Privacy Computational modeling Machine learning computer architecture Smart systems Security Servers Protection Glass box

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：