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Machine Learning Methods in Solving the Boolean Satisfiability Problem

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Machine Intelligence Research 2023年第5期20卷 640-655页

作者： Wenxuan Guo Hui-Ling Zhen Xijun Li Wanqian Luo mingxuan yuan Yaohui Jin Junchi Yan MoE Key Laboratory of Artificial Intelligence Shanghai Jiao Tong UniversityShanghai 200240China Noah′s Ark Laboratory Huawei Ltd.Shenzhen 518129China

This paper reviews the recent literature on solving the Boolean satisfiability problem(SAT),an archetypal N P-complete problem,with the aid of machine learning(ML)*** the last decade,the machine learning society advances rapidly and surpasses human performance on several *** trend also inspires a number of works that apply machine learning methods for SAT *** this survey,we examine the evolving ML SAT solvers from naive classifiers with handcrafted features to emerging end-to-end SAT solvers,as well as recent progress on combinations of existing conflict-driven clause learning(CDCL)and local search solvers with machine learning ***,solving SAT with machine learning is a promising yet challenging research *** conclude the limitations of current works and suggest possible future *** collected paper list is available at https://***/ThinklabSJTU/***:Machine learning(ML),Boolean satisfiability(SAT),deep learning,graph neural networks(GNNs),combinatorial optimization.

关键词： Machine learning(ML) Boolean satisfiability(SAT) deep learning graph neural networks(GNNs) combinatorial optimization

Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks

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Journal of Computer Science & Technology 2014年第5期29卷 762-776页

作者：袁明轩陈雷 Philip S. Yu 梅宏 Department of Computer Science and Engineering The Hong Kong University of Science and Technology Huawei Noah's Ark Laboratory Department of Computer Science University of Illinois at ChicagoChicago IL 60637 U.S.A. FellowACMIEEE Key Laboratory of High Confidence Software Technologies Ministry of Education Institute of Software School of Electronics Engineering and Computer Science Peking University Department of Computer Science and Engineering Shanghai Jiao Tong University

Social networks are getting more and more attention in recent years. People join social networks to share their information with others. However, due to the different cultures and backgrounds, people have different requirements on what kind of information should be published. Currently, when social network websites publish data, they just leave the information that a user feels sensitive blank. This is not enough due to the existence of the label-structure relationship. A group of analyzing algorithms can be used to learn the blank information with high accuracy. In this paper, we propose a personalized model to protect private information in social networks. Specifically, we break the label-structure association by slightly changing the edges in some users＇ neighborhoods. More importantly, in order to increase the usability of the published graph, we also preserve the influence value of each user during the privacy protection. We verify the effectiveness of our methods through extensive experiments. The results show that the proposed methods can protect sensitive labels against learning algorithms and at the same time, preserve certain graph utilities.

关键词： social network privacy protection

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一种基于同层网页相似性去除网页噪音的方法

计算机工程 2006年第23期32卷 61-63页

作者：袁明轩张选平蒋宇赵仲孟西安交通大学电信学院软件研究所 710049

一个普通的Web页面可以被分成信息块和噪音块两部分。基于web信息检索的第1步就是过滤掉网页中的噪音块。通过网页的特性可以看出,同层网页大多具有相似的显示风格和噪音块。在VIPS算法的基础上,该文提出一种基于同层网页相似性的匹配算... 详细信息

一个普通的Web页面可以被分成信息块和噪音块两部分。基于web信息检索的第1步就是过滤掉网页中的噪音块。通过网页的特性可以看出,同层网页大多具有相似的显示风格和噪音块。在VIPS算法的基础上,该文提出一种基于同层网页相似性的匹配算法,这个算法可以被用来过滤网页中的噪音块。通过实验检测,算法可以达到95%以上的准确率。

关键词：网页噪音 VIPS算法相似树比较

分析硫辛酸辅以前列地尔治疗老年2型糖尿病周围神经病变的效果

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世界复合医学 2021年第12期7卷 140-143页

作者：刘董原铭旋青岛市城阳区人民医院静配中心山东青岛266109 青岛市城阳区人民医院急诊药房山东青岛266109

目的分析硫辛酸辅以前列地尔治疗老年2型糖尿病周围神经病变的效果。方法以2019年8月—2021年8月为研究时间,选取此时间段内该院收治的老年2型糖尿病周围神经病变患者98例进行调查。按照随机抽样分组法对其进行分组。参比组患者使用前... 详细信息

目的分析硫辛酸辅以前列地尔治疗老年2型糖尿病周围神经病变的效果。方法以2019年8月—2021年8月为研究时间,选取此时间段内该院收治的老年2型糖尿病周围神经病变患者98例进行调查。按照随机抽样分组法对其进行分组。参比组患者使用前列地尔进行治疗,研究组患者使用硫辛酸辅以前列地尔进行治疗。分析两组患者治疗前和治疗3周后的血糖水平、神经传导速度、神经功能情况、临床疗效、药物不良反应发生率。结果治疗前,两组患者的血糖水平、神经传导速度差异无统计学意义(P>0.05)。治疗3周后,研究组患者的空腹血糖水平为(7.58±1.17)mmol/L、餐后2 h血糖水平(9.16±1.98)mmol/L、糖化血红蛋白水平(6.18±1.46)%均低于参比组,差异有统计学意义(t=8.827、4.213、7.584,P<0.001);研究组患者的神经传导速度为(51.27±4.91)m/s、神经功能情况为(11.02±1.28)分均优于参比组,差异有统计学意义(t=7.796、9.626,P<0.001);研究组患者的临床疗效97.96%高于参比组,差异有统计学意义(χ^(2)=5.995,P=0.014);研究组患者的药物不良反应发生率与参比组相比差异无统计学意义(χ^(2)=0.136,P=0.712)。结论在对老年2型糖尿病周围神经病变患者进行治疗时,使用硫辛酸辅以前列地尔进行治疗能够降低患者血糖水平,改善神经传导速度,促进神经功能恢复,提高临床疗效,值得研究推广。

关键词：硫辛酸前列地尔老年2型糖尿病糖尿病周围神经病变血糖水平神经传导速度神经功能情况临床疗效药物不良反应发生率

尤瑞克林治疗症状性颅内动脉严重狭窄性缺血性卒中的有效性和安全性

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世界复合医学 2022年第1期8卷 157-160页

作者：原铭旋刘董青岛市城阳区人民医院急诊药房山东青岛266109 青岛市城阳区人民医院静配中心山东青岛266109

目的探讨尤瑞克林治疗症状性颅内动脉严重狭窄性缺血性卒中的有效性和安全性。方法随机选取2019年7月—2021年7月该院治疗的症状性颅内动脉严重狭窄性缺血性卒中患者98例展开调查。按照随机信封分组法分为两组,各49例,均进行基础治疗,... 详细信息

目的探讨尤瑞克林治疗症状性颅内动脉严重狭窄性缺血性卒中的有效性和安全性。方法随机选取2019年7月—2021年7月该院治疗的症状性颅内动脉严重狭窄性缺血性卒中患者98例展开调查。按照随机信封分组法分为两组,各49例,均进行基础治疗,并在此前提下使用不同药物治疗,参照组患者使用阿司匹林+丁苯酞进行治疗,观察组患者在参照组药物基础上使用尤瑞克林进行治疗。分析两组患者治疗前和治疗2周后的神经功能状况、生活质量状况、智力状况、相关指标、治疗有效性、药物不良反应发生率。结果两组患者治疗前的神经功能状况、生活质量状况、智力状况、相关指标对比,差异无统计学意义(P>0.05)。观察组患者治疗2周后的神经功能状况为(4.96±1.05)分、生活质量状况为(82.44±8.05)分、智力状况为(25.19±2.17)分均优于参照组,差异有统计学意义(t=6.126、5.504、7.102、P<0.001);观察组患者治疗2周后的血清钙调素水平为(102.29±29.57)mg/mL、血清血栓素B2水平为(75.24±15.31)ng/L,均优于参照组,差异有统计学意义(t=5.416、3.930,P<0.001);观察组患者的治疗有效性为95.92%,高于参照组,差异有统计学意义(χ^(2)=5.017,P=0.025);观察组患者的药物不良反应发生率为8.16%,与参照组相比差异无统计学意义(χ^(2)=0.921,P=0.337)。结论在对症状性颅内动脉严重狭窄性缺血性卒中患者进行治疗时,使用尤瑞克林进行治疗能够改善患者神经功能状况,提升生活质量,恢复智力水平,优化相关指标,提高治疗有效性,建议研究应用。

关键词：尤瑞克林颅内动脉严重狭窄缺血性脑卒中神经功能状况生活质量

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Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU mingxuan yuan Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

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托伐普坦联合托拉塞米治疗老年心力衰竭的短期疗效及安全性分析

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系统医学 2022年第3期7卷 88-91页

作者：刘董原铭旋青岛市城阳区人民医院静配中心山东青岛266109 青岛市城阳区人民医院急诊药房山东青岛266109

目的分析老年心力衰竭患者接受托伐普坦与托拉塞米联合治疗的临床效果。方法选取2019年4月—2021年4月期间来院接受治疗的88例老年心力衰竭患者纳为研究对象,通过随机抽签的方式将其划分入研究组44例、对照组44例,对研究组患者予以托伐... 详细信息

目的分析老年心力衰竭患者接受托伐普坦与托拉塞米联合治疗的临床效果。方法选取2019年4月—2021年4月期间来院接受治疗的88例老年心力衰竭患者纳为研究对象,通过随机抽签的方式将其划分入研究组44例、对照组44例,对研究组患者予以托伐普坦与托拉塞米联合治疗,对对照组患者予以托伐普坦单独治疗,对比分析两组治疗效果。结果研究组治疗后左室射血分数(LVEF)水平(51.38±3.12)%高于对照组,差异有统计学意义(P0.05)。结论通过采用托伐普坦与托拉塞米联合治疗的方式可以显著促进老年心力衰竭患者诊疗效果的提升,其各项指标变化明显,不良反应较少,因此具有较好的安全性,更加适合推广普及使用。

关键词：老年心力衰竭托伐普坦托拉塞米短期疗效安全性

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Co/Co_(7)Fe_(3)heterostructures with controllable alloying degree on carbon spheres as bifunctional electrocatalyst forrechargeable zinc-air batteries

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 476-487页

作者： Junkang Chen Yongyue Zhuang Yanxin Qiao Yu Zhang Aihua yuan Hu Zhou School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China

Exploring efficient and nonprecious metal electrocatalysts of oxygen reduction reaction(ORR)and oxygen evolution reaction(OER)is crucial for developing rechargeable zinc-air batteries(ZABs).Herein,an alloying-degree control strategy was employed to fabricate nitrogen-doped carbon sphere(NCS)decorated with dual-phase Co/Co_(7)Fe_(3)heterojunctions(CoFe@NCS).The phase composition of materials has been adjusted by controlling the alloying *** optimal CoFe_(0.08)@NCS electrocatalyst displays a half-wave potential of 0.80 V for ORR and an overpotential of 283 mV at 10 mA·cm^(-2)for OER in an alkaline *** intriguing bifunctional electrocatalytic activity and durability is attributed to the hierarchically porous structure and interfacial electron coupling of highly-active Co_(7)Fe_(3)alloy and metallic Co *** the CoFe_(0.08)@NCS material is used as air-cathode catalyst of rechargeable liquid-state zinc-air battery(ZAB),the device shows a high peak power-density(157 mW·cm^(-2))and maintains a stable voltage gap over 150 h,outperforming those of the benchmark(Pt/C+RuO_(2))-based *** particular,the as-fabricated solid-state flexible ZAB delivers a reliable compatibility under different bending *** work provides a promising strategy to develop metal/alloy-based electrocatalysts for the application in renewable energy conversion technologies.

关键词： bifunctional electrocatalysts oxygen reduction reaction oxygen evolution reaction zinc-air battery metal/alloy carbon sphere

The dopaminergic system and Alzheimer's disease

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Neural Regeneration Research 2025年第9期20卷 2495-2512页

作者： Yuhan Zhang yuan Liang Yixue Gu International Medical College Chongqing Medical UniversityChongqingChina College of Pharmacy Chongqing Medical UniversityChongqingChina Department of Neurology The First Affiliated Hospital of Chongqing Medical UniversityChongqing Key Laboratory of NeurologyChongqingChina

Alzheimer's disease is a common neurodegenerative disorder in older *** its prevalence,its pathogenesis remains unclea *** addition to the most widely accepted causes,which in clude excessive amyloid-beta aggregation,tau hyperphosphorylation,and deficiency of the neurotransmitter acetylcholine,numerous studies have shown that the dopaminergic system is also closely associated with the occurrence and development of this *** is a crucial catecholaminergic neurotransmitter in the human ***-associated treatments,such as drugs that target dopamine receptor D and dopamine analogs,can improve cognitive function and alleviate psychiatric symptoms as well as ameliorate other clinical *** r,therapeutics targeting the dopaminergic system are associated with various adverse reactions,such as addiction and exacerbation of cognitive *** review summarizes the role of the dopaminergic system in the pathology of Alzheimer's disease,focusing on currently available dopamine-based therapies for this disorder and the common side effects associated with dopamine-related *** aim of this review is to provide insights into the potential connections between the dopaminergic system and Alzheimer's disease,thus helping to clarify the mechanisms underlying the condition and exploring more effective therapeutic options.

关键词： adverse drug reaction Alzheimer's disease catecholamine dopamine receptor dopamine receptor heterodimers dopaminergic system neurodegenerative disease neurotransmitter signaling pathways traditional Chinese medicine treatment