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Reconfigurable optical neural networks with Plug-and-Play metasurfaces

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Opto-Electronic Advances 2024年第7期7卷 1-3页

作者： Yongmin Liu yuxiao Li Department of Mechanical and Industrial Engineering Northeastern UniversityBostonMassachusetts 02115USA Department of Electrical and Computer Engineering Northeastern UniversityBostonMassachusetts 02115USA

In a very recent study,*** Huang and co-workers proposed and demonstrated reconfigurable optical neural networks based on cascaded *** fixing one metasurface and switching the other pluggable metasurfaces,the neural networks,which operate at near-infrared wavelengths,can perform distinct recognition tasks for handwritten digits and fashion *** innovative device opens up an avenue for all-optical,high-speed,low-power,and multifunctional artificial intelligence systems.

关键词： surfaces networks neural

Complement C1q induces the M2-polarization of tumor-associated macrophages in lung adenocarcinoma

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Genes & Diseases 2024年第4期11卷 145-148页

作者： yuxiao Song yang Fu Jun Wang Jiazhuo Tang Jiaxin Yin Zhimin Zhang Qibin Song Bicheng Zhang Cancer Center Renmin Hospital of Wuhan UniversityWuhanHubei 430061China Department of Oncology Xiangyang HospitalHubei University of Chinese MedicineXiangyangHubei 441100China Department of Oncology The First Affiliated Hospital of Shandong First Medical UniversityJinanShandong 250000China

Complement C1q was proved to be able to regulate the polarization of macrophages to the anti-inflammatory phenotype(M2 polarized),acting as an anti-inflammation molecule independent of the classical complement pathway.A high level of C1q expression has been detected in the tumor microenvironment(TME)of diverse tumors,including non-small cell lung cancer,in which C1q could be considered a predictor of poor prognosis.

关键词： C1q lung inflammation

Enhanced direct gaseous CO_(2) fixation into higher bio-succinic acid production and selectivity

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Journal of Environmental Sciences 2024年第9期143卷 164-175页

作者： Ziyi yang Wanling Wu Qing Zhao Irini Angelidaki Samuel Gyebi Arhin Dongliang Hua yuxiao Zhao Hangyu Sun Guangqing Liu Wen Wang Biomass Energy and Environmental Engineering Research Center Beijing University of Chemical TechnologyBeijing 100029China College of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China Department of Chemical and Biochemical Environmental Engineering Technical University of DenmarkDK-2800Kgs LyngbyDenmark Energy Research Institute Qilu University of Technology(Shandong Academy of Sciences)Shandong Provincial Key Laboratory of Biomass Gasification TechnologyJinan 250014China

Utilizing CO_(2)for bio-succinic acid production is an attractive approach to achieve carbon capture and recycling(CCR)with simultaneous production of a useful platform *** succinogenes and Basfia succiniciproducens were selected and investigated as microbial ***,the type and concentration of inorganic carbon concentration and glucose concentration were evaluated.6 g C/L MgCO_(3)and 24 g C/L glucose were found to be the optimal basic operational conditions,with succinic acid production and carbon yield of over 30 g/L and over 40%,***,for maximum gaseous CO_(2)fixation,carbonate was replaced with CO_(2)at different ***“less carbonate more CO_(2)”condition of the inorganic carbon source was set as carbonate:CO_(2)=1:9(based on the mass of carbon).This condition presented the highest availability of CO_(2)by well-balanced chemical reaction equilibrium and phase equilibrium,showing the best performance with regarding CO_(2)fixation(about 15 mg C/(L·hr)),with suppressed lactic acid *** to key enzymes analysis,the ratio of phosphoenolpyruvate carboxykinase to lactic dehydrogenase was enhanced at high ratios of gaseous CO_(2),which could promote glucose conversion through the succinic acid *** further increase gaseous CO_(2)fixation and succinic acid production and selectivity,stepwise CO_(2)addition was evaluated.50%-65%increase in inorganic carbon utilization was obtained coupled with 20%-30%increase in succinic acid *** was due to the promotion of the succinic acid branch of the glucose metabolism,while suppressing the pyruvate branch,along with the inhibition on the conversion from glucose to lactic acid.

关键词： Succinic acid CO_(2) fixation Actinobacillus succinogenes Basfia succiniciproducens Lactic acid

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区块链金融衍生品刑法规制研究

重庆大学学报（社会科学版） 2020年第6期26卷 127-137页

作者：杨玉晓西南政法大学法学院重庆401120

区块链技术自产生之日就与金融有着密切联系,其作为一种全新技术组合,正渗透到不同金融场景中。区块链技术发展改变了传统金融运营模式,冲击了金融风险管控和现有法律体系。区块链金融衍生品的高度匿名性与去中心化交易,使监管机构搜集... 详细信息

区块链技术自产生之日就与金融有着密切联系,其作为一种全新技术组合,正渗透到不同金融场景中。区块链技术发展改变了传统金融运营模式,冲击了金融风险管控和现有法律体系。区块链金融衍生品的高度匿名性与去中心化交易,使监管机构搜集信息受阻,难以确保信息准确性和全面性,导致出现部分业态下监管真空,为犯罪发生提供了土壤。对区块链金融衍生品进行刑法规制能维持国家货币稳定,防范金融风险,预防诱发犯罪,有其必要性。区块链金融衍生品在刑法上定性有货币说、金融工具说和财产说。通过比较德、美、日、俄国家对区块链金融衍生品的法律政策,结合国内区块链金融衍生品交易实践,其主要是作为金融工具在使用,因此把区块链金融衍生品认定为金融工具较为科学。区块链金融衍生品交易涉及金融交易安全、金融管理秩序安全和金融投资人财产安全等刑法法益,只有以刑事政策为引领立足现实展望未来,以刑事法律为基础坚持防控风险和推动技术发展相结合,以刑事合规为辅助建立刑罚与非刑罚相贯通的体制机制,打造立体规制体系,才能防范区块链金融衍生品交易犯罪,促使其在法治轨道上健康发展。

关键词：区块链金融衍生品金融工具风险管控刑法规制

多层多参数多项加权分数阶傅里叶变换复合调制通信信号设计方法

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电子与信息学报 2023年第4期45卷 1192-1200页

作者：杨宇晓高萍南京航空航天大学航天学院南京211100

为提高卫星通信信号的安全性能,该文提出一种多层多参数多项加权分数阶傅里叶变换(MWFRFT)复合调制通信信号设计方法。该方法针对传统多项加权分数阶傅里叶变换单层结构的被扫描威胁,将MWFRFT扩展至不同加权系数的多层结构,降低了系统... 详细信息

为提高卫星通信信号的安全性能,该文提出一种多层多参数多项加权分数阶傅里叶变换(MWFRFT)复合调制通信信号设计方法。该方法针对传统多项加权分数阶傅里叶变换单层结构的被扫描威胁,将MWFRFT扩展至不同加权系数的多层结构,降低了系统的被扫描概率。同时,多层多参数MWFRFT(MPMWFRFT)系统通过对控制参数集的优化设计,解决了多层结构下的通信信号调制特征模拟。针对复杂电磁环境场景中的目标寄生信号和窄带信号干扰,引入扩频机制,设计了3层多项加权分数阶傅里叶变换和直接序列扩频复合调制系统(TLMWFRFT-DSSS)。仿真结果表明,该方法在保证较好通信性能的前提下,实现了多层通信信号的调制特征模拟,显著提高了系统的抗扫描性能。

关键词：安全通信多层多参数多项加权分数阶傅里叶变换扩频

Ash removal from inferior coal via ammonium fluoride roasting and simultaneous yield of white carbon black

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International Journal of Mining Science and Technology 2024年第2期34卷 261-279页

作者： Xuqin Duan Shuaiyu Lu yuxiao Fu Jiazhe Zhang Tong Liu Jian Ma School of Civil and Resource Engineering University of Science&Technology BeijingBeijing 100083China State Key Laboratory for Efficient Mining of Metal Mines University of Science&Technology BeijingBeijing 100083China China Coal Processing and Utilizaiton Association Beijing 100013China

The quality upgrading and deashing of inferior coal by chemical method still faces great *** dangers of strong acid,strong alkali,waste water and exhaust gas as well as high cost limit its industrial *** paper systematically investigates the ash reduction and desilicification of two typical inferior coal utilizing ammonium fluoride roasting *** the optimal conditions,for fat coal and gas coal,the deashing rates are 69.02%and 54.13%,and the desilicification rates are 92.64%and 90.27%,*** molar dosage of ammonium fluoride remains consistent for both coals;however,the gas coal,characterized by a lower ash and silica content(less than half that of the fat coal),achieves optimum deashing effect at a reduced time and *** majority of silicon in coal transforms into gaseous ammonium fluorosilicate,subsequently preparing nanoscale amorphous silica with a purity of 99.90%through ammonia *** of the fluorine in deashed coal are assigned in inorganic minerals,suggesting the possibility of further fluorine and ash removal via *** research provides a green and facile route to deash inferior coal and produce nano-scale white carbon black simultaneously.

关键词： Inferior coal Deashing treatment Silicon recycling Ammonium fluoride roasting White carbon black

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区块链智能合约犯罪刑事司法应对研究

法律适用 2020年第15期 145-156页

作者：杨玉晓西南政法大学西南政法大学特殊群体权利保护与犯罪预防中心

智能合约在带给人们交易便利的同时,也为犯罪的发生提供了土壤。智能合约犯罪分为以智能合约为对象的犯罪、以智能合约为工具的犯罪和以智能合约为空间的犯罪。这些犯罪发生在监管环境弱化、信用基础强化、参与主体匿名化的区块链环境中... 详细信息

智能合约在带给人们交易便利的同时,也为犯罪的发生提供了土壤。智能合约犯罪分为以智能合约为对象的犯罪、以智能合约为工具的犯罪和以智能合约为空间的犯罪。这些犯罪发生在监管环境弱化、信用基础强化、参与主体匿名化的区块链环境中,行为发生了变异,证据难以搜集固定,社会危害性增强,给刑事司法应对带来了挑战。刑事司法只有坚持"数据代码不是法律但应受法律规制"的理念,科学认定罪与非罪、此罪与彼罪,通过技术自证破解证据难题,积极推行并案机制消除管辖权争议,才能既精准打击犯罪又为技术发展留足空间,促使智能合约刑事合规发展,有效治理和防范智能合约犯罪。

关键词：区块链智能合约犯罪刑事司法治理和防范

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人工智能算法歧视刑法规制路径研究

法律适用 2023年第4期2023卷 86-94页

作者：杨玉晓上海政法学院纪检监察学院

算法歧视侵害刑法保护的法益,对传统刑法体系造成挑战。算法歧视分为初始算法歧视、记忆算法歧视和神经算法歧视三种基本类型。程序设计、数据测试和算法自我学习中的缺陷,均可能导致歧视。神经算法虽然包含着深度学习功能,但是算法本... 详细信息

算法歧视侵害刑法保护的法益,对传统刑法体系造成挑战。算法歧视分为初始算法歧视、记忆算法歧视和神经算法歧视三种基本类型。程序设计、数据测试和算法自我学习中的缺陷,均可能导致歧视。神经算法虽然包含着深度学习功能,但是算法本身及其所依附的人工智能系统无法成为刑事责任主体,算法刑事主体化面临着困境。人们的决策权向算法转移,进而导致代码编写、标准制定的人具有一定的决定权,算法歧视刑法规制的重点应是算法技术背后的人。刑法有其自身的功能和价值。目前刑法应对算法歧视呈现出“过度未来化”和“空想化的特征”。我们只有坚持以技术作为治理手段,科学适用刑法中现有罪名,以刑法为引领构建算法刑事合规制度,强化刑事司法对算法歧视的审查,预防算法歧视对刑事审判的破坏,才能使算法沿着法治的轨道健康发展。

关键词：人工智能算法歧视刑法规制技术治理刑事合规

A Study of Epileptogenic Foci Localization Algorithm Based on Automatic Detection of Comprehensive Feature HFOs and RF-LR

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Chinese Journal of Electronics 2024年

作者： yuxiao DU Gaoming LI School of Automation Guangdong University of Technology

Studies have shown that fast ripples of 250–500 Hz in epileptic electroencephalography(EEG) signals are more pathological and closer to the epileptogenic focus itself compared to ripples of 80–250 Hz. However, artifacts of fast ripples and high-frequency oscillations(HFOs) are easily confused and difficult to discriminate, and manual visual screening is both time-consuming and unable to avoid subjectivity. To this end, this paper presents a method for localizing epileptogenic foci based on the automatic detection of integrated feature HFOs and random forest-logistic regression(RF-LR). In this paper, we first extract multivariate features from the preprocessed epileptic EEG signals, and use the random forest algorithm to filter out three features with high importance, based on which,suspicious leads containing HFOs are identified. Then, wavelet time-frequency maps were used for the primary screening of suspected leads to improve the signal calibration efficiency and further localize HFOs in time and frequency. Finally, a logistic regression model was used to automatically classify and identify ripples and fast ripples in HFOs. The results show that the sensitivity, specificity, and accuracy of the model for detecting ripple are 89.37%, 88.26%, and 90.1%, respectively; the sensitivity, specificity, and accuracy for detecting fast ripple are 94.31%, 94.83%,and 93.46%, respectively. Compared with single features, the multivariate features in this paper more comprehensively characterize the complex epileptic EEG signals and provide more accurate information for the localization of epileptogenic foci. The automatic detection algorithm of HFOs proposed in this paper can analyze a large amount of data in a short time and has a good detection performance, which can help clinicians accurately determine the region of epileptogenic foci.

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