检索结果-南通市图书馆

AI Empowerment In China-ASEAN Relations As AI advances, it could play a pivotal role in addressing biases and enhancing the strategic partnership to better serve regional stability and drive global progress

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Report ASEAN 2024年第8期9卷 42-43页

作者： Khin Maung Soe the Belt&Road-Global Research network(B&R-GRN) the centre for Human Security and international Affairs(CHSIA)

The ASEAN Vision 2020,adopted in 1997,aims to create a stable,prosperous,and highly competitive ASEAN Economic Community(AEC).ASEAN is a significant trading partner for China,with annual trade volumes exceeding US$600 billion in recent *** is ASEAN's largest trading partner,and ASEAN is integral to China's Belt and Road Initiative (BRI).China has invested heavily in ASEAN,particularly in infrastructure,manufacturing,and the digital economy,facilitated by agreements like the ASEAN-China Free Trade Agreement (ACFTA).Both regions are emphasizing digital economic cooperation through initiatives like the ASEAN-China Digital Economy Cooperation Framework.

关键词： ASEAN competitive prosperous

Off-farm employment,agriculture production activities,and household dietary diversity in environmentally and economically vulnerable areas of Asia

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2024年第2期23卷 359-373页

作者： Yunli Bai Xuanye Zeng Chao Fu Linxiu Zhang Key Laboratory of Ecosystem network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China United Nations Environment Programme-international Ecosystem Management Partnership(UNEP-IEMP) Beijing 100101China University of Chinese Academy of Sciences Beijing 100101China

Access to off-farm employment has been expected to be a critical approach to ending hunger and all forms of malnutrition,two important targets of achieving Zero *** study aims to investigate the role of off-farm employment in improving dietary diversity through substitution effect and complementary effect with agricultural production activities and income *** study adopts Poisson/Tobit/Probit/OLS regressions and the instrument variable method based on the primary survey data collected among 1,282 households at 12 sites in environmentally and economically vulnerable areas of China,Nepal,Cambodia,Thailand,and Myanmar in *** results show that off-farm employment is positively associated with household dietary diversity and the consumption of flesh meat,fish and other aquatic animals,fruits,and milk and dairy products,which are rich in protein and *** results of mechanism analysis show that off-farm employment contributes to household dietary diversity by improving crop diversity,especially for poor households,boosting the probability of livestock raising for households with the middle one-third disposal income,and increasing household *** positive association between off-farm employment and household dietary diversity is much higher for households with the bottom one-third disposal income,low illiteracy,and from upper-middle income *** findings imply that off-farm employment does play a vital role in achieving multiple benefits of poverty alleviation,malnutrition reduction,and agrobiodiversity conservation in environmentally and economically vulnerable ***,it may enlarge the gaps in dietary diversity between households with low human capital and from low and lower-middle income countries and those with high human capital and from middle-high countries.

关键词： off-farm employment dietary diversity income effect substitution effect complementary effect

RsaL is a self-regulatory switch that controls alternative biosynthesis of two AHL-type quorum sensing signals in Pseudomonas aeruginosa PA1201

在线全文

学校读者我要写书评

暂无评论

mLife 2024年第1期3卷 74-86页

作者： Ya-Wen He Zi-Jing Jin Ying Cui Kai Song Bo Chen Lian Zhou State Key Laboratory of Microbial Metabolism Joint International Research Laboratory of Metabolic and Developmental SciencesSJTU-NLBP Joint R&D Centre for Biopesticides and BiofertilizersSchool of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina Zhiyuan Innovative Research centre Student Innovation CentreZhiyuan CollegeShanghai Jiao Tong UniversityShanghaiChina

Pseudomonas aeruginosa is a ubiquitous and metabolically versatile microorganism naturally found in soil and *** is also an opportunistic pathogen in plants,insects,animals,and *** response to increasing cell density,*** uses two acylhomoserine lactone(AHL)quorum-sensing(QS)signals(i.e.,N-3-oxo-dodecanoyl homoserine lactone[3-oxo-C12-HSL]and Nbutanoyl-homoserine lactone[C4-HsL]),which regulate the expression of hundreds of ***,how the biosynthesis of these two QS signals is coordinated remains *** studied the regulation of these two QS signals in the rhizosphere strain ***1201 sequentially produced 3-oxo-C12-HSL and C4-HSL at the early and late growth stages,*** highest 3-oxo-C12-HSL-dependent elastase activity was observed at the early stage,while the highest C4-HSL-dependent rhamnolipid production was observed at the late *** atypical regulator RsaL played a pivotal role in coordinating 3-oxo-C12-HSL and C4-HSL biosynthesis and QS-associated *** repressed las/transcription by binding the-10 and-35 boxes of the lasl *** contrast,RsaL activated rhll transcription by binding the region encoding the 5'-untranslated region of the rhll ***,RsaL repressed its own expression by binding a nucleotide motif located in the-35 box of the rsaL ***,RsaL acts as a molecular switch that coordinates the sequential biosynthesis of AHL QS signals and differential virulence in ***,C4-HSL activation by RsaL was independent of the Las and Pseudomonas quinolone signal(PQS)QS signaling ***,we propose a new model of the QS regulatory network in PA1201,in which RsaL represents a superior player acting at the top of the hierarchy.

关键词： N-3-oxo-dodecanoyl homoserine lactone N-butanoyl-homoserine lactone Pseudomonas aeruginosa quorum sensing RsaL

AWeb Application Fingerprint Recognition Method Based on Machine Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第7期140卷 887-906页

作者： Yanmei Shi Wei Yu Yanxia Zhao Yungang Jia School of Integrated Circuit Science and Engineering Tianjin University of TechnologyTianjin300382China College of international Business Zhejiang Yuexiu UniversityShaoxing312030China School of Public Administration Zhejiang Gongshang UniversityHangzhou310018China Tianjin Branch of National Computer network Emergency Response Technical Team/Coordination Center of China Tianjin300100China

Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and *** fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web *** response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering *** method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality *** core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated *** transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint *** experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad *** novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.

关键词： Web application fingerprint recognition unsupervised learning clustering algorithm feature extraction automated testing network security

Applying Earth Observation Technologies to Economic Consequence Modeling:A Case Study of COVID‑19 in Los Angeles County,California

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

international Journal of Disaster Risk Science 2024年第1期15卷 18-31页

作者： Fynnwin Prager Marina T.Mendoza Charles K.Huyck Adam Rose Paul Amyx Gregory Yetman Kristy F.Tiampo California State University Dominguez HillsCarsonCA 90747USA ImageCat Inc.Long BeachCA 90802USA University of Southern California Los AngelesCA 90015USA CIESIN–Center for international Earth Science Information network Columbia UniversityPalisadesNY 10964USA Cooperative Institute for Research in Environmental Sciences(CIRES) University of Colorado BoulderBoulderCO 80309USA

Earth observation(EO) technologies,such as very high-resolution optical satellite data available from Maxar,can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of businesses and the *** investigated this unique approach to economic consequence modeling to determine whether crowd-sourced interpretations of EO data can be used to illuminate key economic behavioral responses that could be used for computable general equilibrium modeling of supply chain repercussions and resilience *** applied our methodology to the COVID-19 pandemic experience in Los Angeles County,California as a case *** also proposed a dynamic adjustment approach to account for the changing character of EO through longer-term disasters in the economic modeling *** found that despite limitations,EO data can increase sectoral and temporal resolution,which leads to significant differences from other data sources in terms of direct and total impact *** findings from this analytical approach have important implications for economic consequence modeling of disasters,as well as providing useful information to policymakers and emergency managers,whose goal is to reduce disaster costs and to improve economic resilience.

关键词： Computable general equilibrium models COVID-19 Disaster economic impacts Earth observation Economic consequence analysis Los Angeles County

Integrated Zoology’s collection of Wildlife Diseases Research network

在线全文

学校读者我要写书评

暂无评论

Integrative Zoology 2024年第3期19卷 348-349页

作者： Wenhua XIONG Institute of Zoology Chinese Academy of Sciences Office of the international Society of Zoological Sciences

The international Society of Zoological Sciences has developed a Wildlife Diseases Research network(WDRN)in the world,with the collaboration of its partners such as the Working Group on Zoonotic Disease of the international Union of Biological Sciences(IUBS)(https://***/).WDRN is composed of a steering committee,a scientific committee,a research expert network,and collaborative partners.

关键词： partner committee IUB

Spatial Structure of Peer networks and Academic Achievement Based on a Random Control Trial Experiment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China & World Economy 2024年第3期32卷 67-97页

作者： Shilan Feng Ya Tan Zhi Wang Qinghua Zhang School of Marxism Peking UniversityChina School of international Trade and Economics University of International Business and EconomicsChina China Center for Economic Studies Fudan Universityand Shanghai Institute of International Finance and EconomicsChina Guanghua School of Management Peking UniversityChina

This paper investigates whether changing the seating arrangement in a classroom can facilitate positive spillovers from top-performing students to others,using a field experiment conducted in a Chinese high *** study groups with balanced abilities,the treatment altered the spatial distribution by assigning the two top students to seats in the spatial center of each *** the reference groups where students were allowed to choose their own seating arrangements,the lowest performing were significantly less likely to sit next to a top student than they would be under a random *** results suggest that,in the treated groups,there could be enhanced academic spillovers from the top *** treatment especially benefited the two lowest performing students in science *** contrast,the treatment exerted negative effects on the test scores of the two middle-performing students,due to a disruption *** results suggest that the spatial layout of a peer network can have a significant impact on learning outcomes.

关键词： field experiment peer effects social interactions spatial structure test scores

A transfer learning enhanced physics-informed neural network for parameter identification in soft materials

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics and Mechanics(English Edition) 2024年第10期45卷 1685-1704页

作者： Jing'ang ZHU Yiheng XUE Zishun LIU international Center for Applied Mechanics State Key Laboratory for Strength and Vibration of Mechanical Structures School of Aerospace EngineeringXi'an Jiaotong University

Soft materials, with the sensitivity to various external stimuli, exhibit high flexibility and stretchability. Accurate prediction of their mechanical behaviors requires advanced hyperelastic constitutive models incorporating multiple parameters. However,identifying multiple parameters under complex deformations remains a challenge, especially with limited observed data. In this study, we develop a physics-informed neural network(PINN) framework to identify material parameters and predict mechanical fields,focusing on compressible Neo-Hookean materials and hydrogels. To improve accuracy, we utilize scaling techniques to normalize network outputs and material parameters. This framework effectively solves forward and inverse problems, extrapolating continuous mechanical fields from sparse boundary data and identifying unknown mechanical *** explore different approaches for imposing boundary conditions(BCs) to assess their impacts on accuracy. To enhance efficiency and generalization, we propose a transfer learning enhanced PINN(TL-PINN), allowing pre-trained networks to quickly adapt to new scenarios. The TL-PINN significantly reduces computational costs while maintaining accuracy. This work holds promise in addressing practical challenges in soft material science, and provides insights into soft material mechanics with state-of-the-art experimental methods.

关键词： 35Q74 74A20 74B20 74G75 inverse problem O242 O343 parameter identification physics-informed neural network (PINN) soft material transfer learning

Robust blind image watermarking based on interest points

在线全文

学校读者我要写书评

暂无评论

虚拟现实与智能硬件（中英文） 2024年第4期6卷 308-322页

作者： Zizhuo WANG Kun HU Chaoyangfan HUANG Zixuan HU Shuo YANG Xingjun WANG Tsinghua Shenzhen international Graduate School Tsinghua UniversityShenzhen 518071China

Digital watermarking technology plays an essential role in the work of anti-counterfeiting and ***,image watermarking algorithms are weak against hybrid attacks,especially geometric attacks,such as cropping attacks,rotation attacks,*** propose a robust blind image watermarking algorithm that combines stable interest points and deep learning networks to improve the robustness of the watermarking algorithm ***,to extract more sparse and stable interest points,we use the Superpoint algorithm for generation and design two steps to perform the screening *** first keep the points with the highest possibility in a given region to ensure the sparsity of the points and then filter the robust interest points by hybrid attacks to ensure high *** message is embedded in sub-blocks centered on stable interest points using a deep learning-based *** kinds of attacks and simulated noise are added to the adversarial training to guarantee the robustness of embedded *** use the ConvNext network for watermark extraction and determine the division threshold based on the decoded values of the unembedded *** extensive experimental results,we demonstrate that our proposed algorithm can improve the accuracy of the network in extracting information while ensuring high invisibility between the embedded image and the original cover *** with previous SOTA work reveals that our algorithm can achieve better visual and numerical results on hybrid and geometric attacks.

关键词： Blind watermarking Robust region selection Geometric distortion Deep learning