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Analysis of Chinese Anti-Suit Inj.nctions in SEP Litigation

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科技与法律（中英文） 2025年第1期 138-148页

作者： ou Fuyong Zhang Xiaoxiao Law School Hunan Normal UniversityChangsha 410081China

In this article,two cases of Standard Essential Patents,ruled by the Supreme People's Court of the People's Republic of China,are presented and *** first Chinese anti-suit inj.nction in SEP litigation appeared in the first case through the method of behavior preservation,and the second case illustrates a clear intent by the Chinese courts to compete for global royalty rate *** international concerns raised about these cases,it is proved that the anti-suit inj.nction cases in China do not show any abusive or illegal *** worldwide anti-suit inj.nctions in China are granted legitimately with legal j.risdiction over the cases,sufficient legal grounds for behavior preservation with the nature of anti-suit inj.nctions,the necessity of granting worldwide inj.nctions,and suitable granting *** pieces of advice are proposed for the future application of anti-suit inj.nctions,including improvements in the predictability of validity scope,consistency of implementation,and clarification of penalties.

关键词： anti-suit inj.nction anti-anti-suit inj.nction FRAND royalty rate j.risdiction SEP

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面向自动语音识别系统的对抗样本生成方法

计算机科学与探索 2025年第1期19卷 253-263页

作者：于振华苏玉璠叶鸥丛旭亚西安科技大学计算机科学与技术学院西安710054

通过对系统进行对抗攻击可以检测系统漏洞,进而提高系统鲁棒性。然而,对抗攻击前往往需要系统的参数信息,这使得攻击条件受限。为此,结合一种新的量子粒子群优化算法,提出一种黑盒有目标对抗攻击方法。该方法通过在原始样本中添加微小噪... 详细信息

通过对系统进行对抗攻击可以检测系统漏洞,进而提高系统鲁棒性。然而,对抗攻击前往往需要系统的参数信息,这使得攻击条件受限。为此,结合一种新的量子粒子群优化算法,提出一种黑盒有目标对抗攻击方法。该方法通过在原始样本中添加微小噪声,构造差异化粒子群,作为初始对抗样本种群;基于记忆搜索的领域重分布策略得到当前种群的全局最优粒子,从而生成初始对抗样本;融入扩维和自适应权重位置更新,使得种群更接近目标;根据对抗样本与目标语句的编辑距离,继续优化初始对抗样本,生成最终对抗样本。为了验证方法的攻击效果,在GoogleSpeech、LibriSpeech以及CommonVoice数据集上,对语音识别模型DeepSpeech进行实验,将目标语句设置为不同场景中的常见语音指令。实验结果表明,提出的方法在三个数据集上成功率都优于对比方法,其中在Common Voice数据集上的成功率比对比方法提升了10个百分点。同时,召集志愿者对生成的对抗样本噪声强度进行主观评估,其中82.4%的对抗样本被志愿者判断为没有噪声或噪声很小。

关键词：对抗攻击语音识别黑盒攻击样本生成量子粒子群算法梯度评估方法

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Shedding light on neurons:optical approaches for neuromodulation

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National Science Review 2022年第10期9卷 34-54页

作者： Shan j.ang Xiang Wu Nicholas j.Rommelfanger Zihao ou Guosong Hong Department of Materials Science and Engineering Stanford University Wu Tsai Neurosciences Institute Stanford University Department of Applied Physics Stanford University

Today’ s optical neuromodulation techniques are rapidly evolving,benefiting from advances in photonics,genetics and materials *** this review,we provide an up-to-date overview of the latest optical approaches for *** begin with the physical principles and constraints underlying the interaction between light and neural *** then present advances in optical neurotechnologies in seven modules:conventional optical fibers,multifunctional fibers,optical waveguides,light-emitting diodes,upconversion nanoparticles,optical neuromodulation based on the secondary effects of light,and unconventional light sources facilitated by ultrasound and magnetic *** conclude our review with an outlo ok on new methods and mechanisms that afford optical neuromodulation with minimal invasiveness and footprint.

关键词： optical neuromodulation optogenetics neural interfaces

The Nonexistence of the Solutions for the Non-Newtonian Filtration Equation with Absorption

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j.urnal of Partial Differential Equations 2021年第4期34卷 369-378页

作者： ou Qitong School of Applied Mathematics Xiamen University of TechnologyXiamen 361024China

The paper proves the nonexistence of the solution for the following Cauchy problem{ut=div(|■u^m|(p-2■u^(m)))^-λu^(q),u(x,0)=δ(x),(x,t)∈S_(T)=R^(N)×(0,T),x∈R^(N),under some conditions on m,p,q,λ,whereδis Dirac... 详细信息

关键词： Non-Newtonian filtration equation Cauchy problem nonexistence

Soft Decision Based Gaussian-Laplacian Combination Model for Noisy Speech Enhancement

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Chinese j.urnal of Electronics 2018年第4期27卷 827-834页

作者： ou Shifeng SONG Peng GAO Ying School of Science and Technology for Opto-electronic Information Yantai University School of Computer and Control Engineering Yantai University

One of the key issues of noisy speech enhancement technique is to achieve appropriate statistical distributions to model the clean speech and noise signals accurately. Most of the existing algorithms try to employ a sole model assumption in transform domain, which, however, has been proven to being contrary with the fact. To address this problem, the statistical properties of clean speech as well as several noise signals are analyzed using actual data in Discrete cosine transform(DCT) domain, and the study indicates the statistic of clean speech DCT coefficients tending to fall somewhere in between the Gaussian and Laplacian distribution. Based on the results,a novel speech enhancement algorithm is proposed using Gaussian-Laplacian combination model, whose core is employing a linear combination of Gaussian and Laplacian distribution to model the statistic of clean speech DCT coefficients. The corresponding weights of either distribution to the combination model are adaptively adj.sted in terms of the probability of each hypothesis, which is estimated based on a soft decision technique by using Bayesian theorem. Through a number of obj.ctive and subj.ctive tests,we compare the performance of the proposed algorithm with other recent model based approaches and have found that our algorithm is superior to the related approaches at all testing environments.

关键词： Speech enhancement Soft decision Speech distortion Combination model

AN ECO- AND INNO-PRODUCT DESIGN SYSTEM APPLYING INTEGRATED AND INTELLIGENT QFDE AND TRIZ METHODOLOGY

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j.urnal of Systems Science and Systems Engineering 2011年第4期20卷 443-459页

作者： Amy j.C. TRAPPEY j.rry j.R. ou Gilbert Y.P. LIN Meng-Yu CHEN Department of Industrial Engineering and Engineering Management National Tsing Hua University Taiwan China Department of Industrial Engineering and Management National Taipei University of Technology Taiwan China Department of Business Administration Southern Taiwan University Taiwan China

The green environmental laws and regulations are legislated, implemented, and enforced in many countries and economic regions. The provision of green products and services are the fast growing trend in global consumer markets. Therefore, introducing new products with environmental considerations becomes critical for global brand manufacturers. This research depicts an integrated and intelligent eco- and inno-product design methodology to support environmental friendly green product development. The methodology adopts approaches, such as life cycle assessment （LCA）, quality function deploymnet for environement （QFDE）, theory of inventive problem solving （TRIZ） and back-propagation network （BPN） to achieve eco- and inno-design obj.ctives. LCA evaluates and compares the environmental impacts of production. QFDE transforms high-level concerns of environment into design requirements. When there are many historical QFDE data, the BPN prediction model is trained and deployed to automate the specifications of green design improvement. TRIZ is to support the creation of innovative product design ideas effectively and efficiently during the concept design stage. Finally, this paper presents two eco-design cases of power adaptor to demonstrate the proposed methodology.

Anti-inflammatory mechanism of rhein in treating asthma based on network pharmacology

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j.urnal of Traditional Chinese Medicine 2022年第2期42卷 296-303页

作者： FENG j.nfang CHEN ou WANG Yibiao Department of Pediatrics the Second HospitalCheeloo College of MedicineShandong UniversityJinan 250033China School of Nursing Cheeloo College of MedicineShandong UniversityJinan 250012China

OBj.CTIVE:To predict the anti-inflammatory targets and related pathways of rhein in the treatment of asthma by using network pharmacology,and to further explore its potential mechanism in ***:The corresponding targets of rhein were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the rhein-target network was constructed with Cytoscape 3.7.1 *** Genbank and Drugbank databases were used to collect and screen asthma targets,and the rhein-target-disease interaction network was constructed.A target protein-protein interaction(PPI)network was constructed using the STRING database to screen key ***,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis was used to identify biological processes and signaling *** anti-asthmatic effects of rhein were tested in vitro,and the expression levels of proteins in the mitogen-activated protein kinase/nuclear factor kappa-B(MAPK/NF-κB)signaling pathway were assessed by western blot ***:Altogether,83 targets of rhein were screened in the relevant databases,989 targets of asthma were obtained in the National Center for Biotechnology Information(NCBI)GENE *** network analysis and KEGG pathway enrichment analysis predicted that rhein could regulate the epidermal active growth factor receptor(EGFR),mitogen-activated protein kinase 14(MAPK14),tumour necrosis factor receptor superfamily member 1A(TNFRSF1A),receptor tyrosineprotein kinase erb B-2(ERBB2),and other signaling ***,we selected the MAPK signaling pathway to determine the anti-inflammatory effects of ***,further in vitro experiments demonstrated that rhein was shown to inhibit HBE cells ***:The anti-inflammatory mechanism of rhein in the treatment of asthma may be related to EGFR,MAPK14,TNFRSF1A and ERBB2 as well as their signaling *** prevent the exacerbation of asthma,instead of targeting a

关键词： asthma rhein anti-inflammatory agents pharmacology drug development

Receptor-like Kinases in Root Development:Current Progress and Future Directions

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Molecular Plant 2021年第1期14卷 166-185页

作者： Yang ou Hong Kui j.a Li Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations School of Life SciencesLanzhou UniversityLanzhou 730000China

Cell-to-cell and cell-to-environment communications are critical to the growth and development of *** surface-localized receptor-like kinases(RLKs)are mainly involved in sensing various extracellular signals to initiate their corresponding cellular *** important vegetative organs for higher plants to adapt to a terrestrial living situation,roots play a critical role for the survival of *** has been demonstrated that RLKs control many biological processes during root growth and *** this review,we summarize several key regulatory processes during Arabidopsis root developm ent in which RLKs play critical *** also put forward a number of relevant questions that are required to be explored in future studies.

关键词： receptor-like kinase root development Arabidopsis

Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir

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j.urnal of Rock Mechanics and Geotechnical Engineering 2024年第6期16卷 2111-2125页

作者： Zhiwei Ma Xiaoyan ou Bo Zhang Earth and Environmental Sciences Division Los Alamos National LaboratoryLos AlamosUSA Civil and Environmental Engineering University of AlbertaEdmontonCanada

Geomechanical assessment using coupled reservoir-geomechanical simulation is becoming increasingly important for analyzing the potential geomechanical risks in subsurface geological ***,a robust and efficient geomechanical upscaling technique for heterogeneous geological reservoirs is lacking to advance the applications of three-dimensional(3D)reservoir-scale geomechanical simulation considering detailed geological ***,we develop convolutional neural network(CNN)proxies that reproduce the anisotropic nonlinear geomechanical response caused by lithological heterogeneity,and compute upscaled geomechanical properties from CNN *** CNN proxies are trained using a large dataset of randomly generated spatially correlated sand-shale realizations as inputs and simulation results of their macroscopic geomechanical response as *** trained CNN models can provide the upscaled shear strength(R^(2)>0.949),stress-strain behavior(R^(2)>0.925),and volumetric strain changes(R^(2)>0.958)that highly agree with the numerical simulation results while saving over two orders of magnitude of computational *** is a maj.r advantage in computing the upscaled geomechanical properties directly from geological realizations without the need to perform local numerical simulations to obtain the geomechanical *** proposed CNN proxybased upscaling technique has the ability to(1)bridge the gap between the fine-scale geocellular models considering geological uncertainties and computationally efficient geomechanical models used to assess the geomechanical risks of large-scale subsurface development,and(2)improve the efficiency of numerical upscaling techniques that rely on local numerical simulations,leading to significantly increased computational time for uncertainty quantification using numerous geological realizations.

关键词： Upscaling Lithological heterogeneity Convolutional neural network(CNN) Anisotropic shear strength Nonlinear stressestrain behavior