Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］Picture books reading service for pre-school children is an important service content of children’s library. It is of great significance to comprehensively investigate and analyze the reading promotion services of children’s libraries and private picture book libraries and put forward targeted suggestions for improving the reading promotion services of preschoolers.［Method/Process］The “Wuli-Shili-Renli” (WSR) system methodology was introduced to build a library picture book reading promotion service model for pre-school children, and a questionnaire survey and comparative analysis were conducted on public libraries represented by Hefei Children’s Library and private picture book libraries represented by Yube Picture Book Library, and finally, targeted suggestions were put forward.［Result/Conclusion］ The survey results show that public libraries have the advantages of large collection and abundant activities, but private picture libraries have more advantages in geographical location, shelving structure and lending service. Therefore, it is suggested to optimize the picture book collection and digital reading form from the physical level, improve the reading environment, borrowing experience and theme activities from the physical level, improve the cooperation mechanism and expert team construction from the human level, and constantly improve the level and effect of picture books reading promotion service for pre-school children.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ As a representative of endangered scripts, Shui script has basically completed its digital protection with the help of national policies, but there is still a gap with other hieroglyphic scripts in the informatization of Shui script. In view of the gap between Shui script and other hieroglyphic scripts, the discovery of deficiencies in the informatization of the Literature of Shui Nationality is the key to promoting the transformation of the study of Shui script towards the development of intelligent applications.［Method/Process］Through the field survey and literature combing of Shui script informatization, we retrace the process of Shui script informatization construction in China and the results achieved, and explore the difficulties of Shui script informatization construction.［Result/Conclusion］ The study shows that the research on the “character syntax” of the literature of Shui Nationality is the most solid, which basically meets the needs of the national language informatization construction. However, there is a lack of lexical research, and the accuracy of the model needs to be improved because of the lack of high-quality corpus of Shui script.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ The complexity and difficulty in retrieving ancient disaster famine literature significantly constrains the study of ancient disaster history. Utilizing digital humanities techniques for the organization, analysis, and research of these documents can promote their creative transformation and innovative development in the new era. ［Method/Process］This study focuses on ancient disaster famine literature. On the one hand, based on the ontological framework derived from the conceptual knowledge system of ancient disaster famine literature and incorporating perspectives from traditional bibliography, a domain knowledge model is constructed to semantically describe the literature. On the other hand, building on this ontology, knowledge graphs for ancient disaster famine literature are developed from an empirical standpoint. From the perspective of practical application, the study showcases the multi-dimensional knowledge association and discovery research of documents, persons, spatiotemporal data, and events within the domain. ［Result/Conclusion］ The empirical case studies validate the feasibility of constructing knowledge graphs for ancient disaster famine literature using ontology technology, providing new insights into the knowledge organization and utilization of such literature in the digital and intelligent era.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ Classical painting theories and the ideas theycontain play a dominant role in the development of Chinese painting, and It is an important issue in the study of the history of painting to identify the classical nature of these chinese painting theories across dynasties and to analyze their thinking orientations.［Method/Process］ We use the method of text reuse and the LSI model to identify the citation relationship between chinese painting theories across dynasties,the citation network is constructed according to the order of dynasties, the classical painting theories are identified with the help of the node strength, between centrality, closeness centrality, authority and hub, and the influence of confucianism in the citations of the classical painting theories on the history of paintings is analyzed.［Result/Conclusion］Su Shi’s “Dongpo on painting”, Guo Xi’s “The Lofty Message of Forests and Streams”, Guo Ruoxu’s “Record of Experiences in Painting”, Zhang Yanyuan’s “History of Famous Paintings across Dynasties” are in the significant position in the citation network and are ranked as classical painting theories. These classical painting theories and their quoted statements are rich in confucianism, reflecting the profound influence of confucian ideology on ancient chinese painting thought.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］This article investigates the influencing factors of network public opinion dissemination in universities, which is of great significance for maintaining the normal order of universities and social stability. ［Method/Process］Based on the motivation theory and the theory of planned behavior, taking universities students in Shandong Province as research object, this article uses the structural equation model(SEM) and the fuzzy set qualitative comparison method(fsQCA), testing 12 hypotheses related to the six influencing variables that affect universities students’ network public opinion dissemination through SEM; exploreing the antecedent configuration that triggers students’ dissemination willingness and communication behavior through fsQCA.［Result/Conclusion］The study found that the effect of individual variable may not be significant, but the cumulative impact resulting from the complex combination of multiple variables cannot be underestimated. Social motivation is the core condition that influences students’ dissemination willingness. The dissemination willingness, information literacy, and trust are key conditions for students’ communication behaviors, each exhibiting a significant positive impact on students’ communication behavior. Awareness of social participation has a mediating effect between social motivation and consciousness of social participation.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ The increasing global problems, increasing difficulty in global governance, and the shift from globalization to regionalization highlight the importance of regional public goods, which have become the focus of international political economy research in the context of unprecedented changes in a century.［Method/Process］ Based on 330 researches related to regional public goods collected from the CNKI database, a knowledge map was drawn using CiteSpace. Combined with some textbooks, translations, and monographs on regional public goods, the current status, hotspots, and future development trends of research on regional public goods in China were analyzed.［Result/Conclusion］ The research topics on regional public goods in China focus on three aspects: concept and connotation, application of regional public goods, and China's plan for the supply of regional public goods. Research content expantion and research methods update are highly recommended, which can facilitate China's participation in global governance.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］The multilateral platform for authorized operation of public data is an important carrier for achieving high-quality and high-value transactions of public data,and is also a necessary condition for promoting the rapid and effective flow of public data factors.［Method/Process］ The paper applies the heuristic case study method to analyze the operation mechanism and implication of local government public data authorization multilateral operation platforms in China by comparing the Beijing Financial Public Data Zone Operation Platform and the Chengdu Public Data Authorization Operation Platform.［Result/Conclusion］Suggestions are proposed to strengthen the data standardization management capabilities of the supply side,establish a risk supervision mechanism for human meaningful control and strengthen the transparency for operating multilateral boundary resources.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ Artificial Intelligence (AI) is a representative of new quality productive forces, and “AI+” is an important direction for China to develop new quality productivity. The public’s perception and use of AI is a realistic basis for observing and studying the proliferation of AI technology in China. ［Method/Process］ The article analyses the AI awareness and usage among urban residents in China based on survey data from Chinese Academy of Social Sciences Public Opinion Research Laboratory in 2019 and 2023. ［Result/Conclusion］ The study concludes that, from 2019 to 2023, the effect of the landing application of artificial intelligence in the population is obvious, the younger and highly educated groups are more likely to contact and use AI applications.The attitude of the population towards AI tends to be calm and objective. People gradually pay attention to the possible negative impacts of the development of AI, and technological anxiety is widespread.AI continues to be embedded in the life and production, and it is necessary to pay attention to the peer-to-peer coexistence of the people’s cognition and the national strategy.
Subjects: Library Science，Information Science submitted time 2024-07-01 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/Significance］ This review is to deepen the implementation of the spirit of General Secretary Xi Jinping’s Important Speech at the Symposium on the Work of Philosophy and Social Sciences and the symposium on cultural inheritance and development, and to further promote the development of the National Center for Philosophy and Social Sciences Documentation (NCPSSD).［Method/Process］On May 17th, 2024, the Conference on the Report on Access and Use of the NCPSSD was successfully convened. At this conference, the Report on NCPSSD Access and Use (2023) was released.［Result/Conclusion］Through this conference, the condition of access and use of Chinese journals by users of NCPSSD in 2023 were released, which is conducive to the integration and open access of academic journals in Chinese philosophy and social sciences, and further promotes the construction and development of the NCPSSD.
Subjects: Nuclear Science and Technology >> Nuclear Science and Technology submitted time 2024-07-01
Abstract： [Background]: As the commercial application of sodium-cooled fast reactors continues to develop, there is a need to develop an integrated analysis code for sodium-cooled fast reactors in order to enhance the capability for safety assessment. [Purpose]: Sodium boiling is a critical phenomenon prior to severe accidents in sodium-cooled fast reactors, and accurate prediction of thermodynamic parameters of the coolant at the onset of sodium boiling is essential for accident analysis. [Methods]: This paper introduces the development of the integrated analysis code ISAA-Na for sodium-cooled fast reactors, focusing on the core thermal-hydraulic model. The ISAA-Na code was used to simulate and analyze the loss-of-flow experiment CABRI-BI1. [Results]: Comparison with experimental data shows that ISAA-Na provides more accurate predictions of coolant temperature and pressure prior to boiling compared to other codes such as SAS4A, ASTEC-Na, and SIMMER. However, after the onset of boiling, overestimations of bubble growth rate and two-phase interface movement were observed due to the lack of fuel melting and cladding failure models. [Conclusions]: Overall, the application of the multi-bubble liquid slug boiling model in ISAA-Na for the analysis of the CABRI-BI1 experiment is deemed reasonable and reliable.
Subjects: Nuclear Science and Technology >> Nuclear Science and Technology submitted time 2024-07-01
Abstract： Background : The quantification of uncertainty has become a common requirement in reactor physics analysis, with the covariance data of nuclear data serving as the foundational data for conducting uncertainty quantification. Purpose : This study aims to develop a covariance data generation module, covar_calc, in the nuclear data processing software NECP-Atlas to produce continuous energy covariance data for Monte Carlo programs and multi-group covariance data for deterministic programs. Methods : Covar_calc module was developed to process all covariance data provided in evaluated nuclear databases, according to the different storage formats of nuclear data and different computational methods. This included the covariance data of various parameters such as average fission neutron multiplicities, cross sections, angular distributions of secondary particles, fission spectrum, resonance parameters, and neutron activation cross-sections. Results : A comparative verification is carried out with the covariance data production module in the nuclear data processing software NJOY21 to demonstrate the accuracy of the multi-group covariance databases produced by NECP-Atlas and the maximum bias is less than 0.1%. Utilizing Monte Carlo calculation code NECP-MCX and uncertainty analysis code NECP-UNICORN, sensitivity coefficients for different benchmarks are calculated. By incorporating both continuous energy covariance databases and multi-group covariance data, and utilizing the Sandwich formula, the final uncertainties are computed. The results indicate that the uncertainties calculated using the multi-group covariance data generated by NECP-Atlas exhibit comparable accuracy to those obtained with NJOY21. Conclusions : The precision in creating both continuous energy covariance and multi-group covariance meets the requirements for usage in Monte Carlo programs and deterministic programs, validating the efficacy of covar_calc module within NECP-Atlas for uncertainty quantification in reactor physics analysis.
Subjects: Nuclear Science and Technology >> Other Disciplines of Nuclear Science submitted time 2024-07-01
Abstract： [Background]: Uranium polymetallic ores are strategic emerging industry minerals, and the quantitative analysis of uranium (U) in ores is a crucial step in the development process of such ores. [Purpose]: In this paper, a quantitative analysis of U in uranium polymetallic ores using femtosecond laser-induced breakdown spectroscopy (LIBS) combined with partial least squares regression (PLSR) modeling was conducted. [Methods]: Initially, the concentrations of U in six samples were measured by high-purity germanium gamma spectrometer and set as reference values, and then femtosecond lasers were employed to ablate the samples to obtain LIBS spectra. Subsequently, two normalization methods were applied to preprocess the raw spectra, and the impact of the preprocessed spectra on PLS model prediction analysis was compared with that of the raw spectra. Subsequently, the spectral data from five sets of samples were utilized as a training dataset to construct a quantitative model, enabling the analysis and prediction of U concentration in sample 3# [Results]: The results indicate that the relative standard deviation (RSD) and mean relative error (MRE) of 10 predicted values for sample 3# are merely 5.94% and 4.73%, respectively. [Conclusions]: This demonstrates that the combination of PLSR algorithm and femtosecond LIBS exhibits high analytical accuracy and stability for samples. This finding can provide significant reference for practical applications of femtosecond LIBS technology in the quantitative analysis of U content in uranium polymetallic ores.
Subjects: Mathematics >> Mathematics （General） submitted time 2024-07-01
Abstract： By considering the spectrum of the Cesaro operator on the Hilbert-Polya space, we proved the Riemann hypothesis for Riemann zeta function and Dirichlet L-function.
Peer Review Status:
Awaiting Review
Subjects: Energy Science >> Energy Science （General） Subjects: Nuclear Science and Technology >> Engineering Technology of Fission Reactor Subjects: Nuclear Science and Technology >> Particle Accelerator Subjects: Nuclear Science and Technology >> Reprocessing Technology of Spent Nuclear Fuel submitted time 2024-06-30
Huan Jia
Xunchao Zhang
Yuanshuai Qin
Xiaobo Li
Yuan He
Neng Pu
Hanjie Cai
Haihua Niu
Yulu Huang
Guirong Huang
Wei Wu
Xiaochong Zhu
Xiaoqiang Wei
Jonathan C. Wong
Abstract： Accelerator Driven sub-critical System (ADS) is considered to be the most important candidate for nuclear waste transmutation. We propose a Multi-Target Accelerator Driven System (MTADS) to resolve two longstanding challenges of ADS, namely heat removal and the associated target lifetime, and inhomogeneous power distribution that affects burn-up of the reactor. An 18 mA, 1 GeV proton beam is split into 12 beams by radio frequency cavities and injected to 12 compact targets inside the reactor. With beam power of 18 MW, the sub-critical reactor is driven to 1500 MW thermal power. The peaking factor of the reactor is reduced to 1.7 by optimization of targets number and position for Multi Target Accelerator Driven System. The maximum beam current density is also reduced to 18.5 μA/cm2, which prolongs the beam window lifetime to 12 months with T91 steel. Towards the next generation ADS, the concept of MTADS simplifies the sub-critical system and increases the transmutation efficiency.
Peer Review Status:Awaiting Review
Subjects: Nursing >> Nursing submitted time 2024-06-30
Abstract： This paper summarizes the therapeutic effect and nursing experience of a case of acute mastitis in the lactation period of primipara with multi-step psychological nursing combined with Chinese ointment rubbing technology. Nursing evaluation, nursing diagnosis, nursing plan, nursing measures, effect evaluation, life and diet guidance were mainly carried out through the method of syndrome differentiation and nursing, and psychological nursing was also emphasized. The application of traditional Chinese medicine (TCM) and multi-step psychological nursing mode for the first time resulted in lower VAS pain score, higher Barthel index, lower SPBS scale score and lower SAS scale score. The combination of Chinese and western medicine can relieve pain, relieve anxiety and improve the quality of life of patients. To provide reference for more similar cases.
Peer Review Status:Awaiting Review
Subjects: Nuclear Science and Technology >> Particle Accelerator submitted time 2024-06-30
Abstract： [Background]: Boron Neutron Capture Therapy (BNCT) is a binary radiation therapy with strong targeting and high energy transfer line density at the cellular scale.It has the advantages of short treatment cycle and minimal damage to surrounding healthy tissues,making it a promising cancer treatment method. [Purpose]: This study aims to design beam shaping assembly(BSA)to make the neutron beam of D-Be neutron source suitable for BNCT and ensure neutron directionality. [Methods]: This article uses Monte Carlo simulation programs GEANT4 and FLUKA to simulate the generation of 9Be(d,n)10B reaction neutron sources and subsequent neutron moderation.A feasible scheme design for BSA was carried out using a 1.45 MeV,30 mA deuterium beam to bombard a 9 μm thin beryllium target,and set a basis BSA model with a cylindrical structure as a whole. [Results]: The results show that using a 45 cm thick BiF3 and 5 cm thick TiF3 combined slowing layer,a 12 cm thick Pb reflector layer,an 11 cm thick Al2O3 supplementary slowing layer,and a 0.1 mm thick Cd thermal neutron absorption layer,the outlet is ensured to γ and fast neutron composition,Φepi/Φth, Φepi/Φfast meets the recommended values of the IAEA. [Conclusions]: This study obtained the neutron spectra and BSA specific design scheme of low-energy deuterium beams and thin beryllium targets,providing data reference for the slowing shaping of neutrons in D-Be neutron sources and supporting subsequent research on D-Be sources.
Subjects: Nuclear Science and Technology >> Other Disciplines of Nuclear Science submitted time 2024-06-30
Abstract：在核辐射测量中，受限于测量系统本身以及测量环境的干扰，脉冲畸变不可避免，如果无法准确估计这类脉冲的参数将会降低能谱的分辨性能。本文提出将六种轻量级神经网络模型用于畸变脉冲的参数预测，预测对象包括脉冲幅度参数和畸变时间参数。以预定义的数学模型生成的畸变脉冲为基础数据集，经数字三角整形得到模型训练所需的数据集。模型性能评估结果表明，传统的数字整形法虽然在时间参数预测上具有绝对优势，但在幅度参数预测中却受到脉冲畸变的限制，无法获得准确的幅度预测结果。在对包括UNet在内的六种神经网络模型进行参数预测性能评估时，UNet模型在测试集上获得了最低的相对误差，其中幅度参数的相对误差约为0.57%，时间参数的相对误差为3.51%。在信噪比实验中，探讨噪声对具有优秀参数预测性能的UNet模型与CNN-LSTM模型的影响，进一步证明了UNet模型优秀的抗噪性能。
Subjects: Nuclear Science and Technology >> Nuclear Science and Technology submitted time 2024-06-29
Abstract： [Background]:Neural networks, with their powerful fitting capabilities, can learn the relationships between input and output variables based on large amounts of data, often serving as proxy models for physical programs in the field of engineering calculations, including nuclear engineering calculations. Neutron transport calculations, as one of the core links in neutronics simulations, often suffer from lengthy computational times. However, this issue can also be addressed by utilizing neural network models. Nevertheless, neural network models have a series of hyperparameters that need to be set, but manually adjusting these hyperparameters is laborious, repetitive, and reliant only on experience. Moreover, these hyperparameters are not reusable when solving different problems. [Purpose]: By seeking a surrogate model for VITAS, the research can provide some reference for the application of artificial intelligence in core physics calculation theory.[Methods]:This paper proposes the use of the Bayesian optimization algorithm to adjust neural network hyperparameters, combined with learning rate decay and loss function optimization methods. [Results]: By fitting the key core parameters obtained from VITAS's calculation of the TAKEDA benchmark problem, the results show that the average error of the effective multiplication factor is within 150×10-5, and the average error rate of the regional integral flux on the TAKEDA1 dataset is 1.72%, with a maximum error rate of 7.56%. [Conclusions]: This approach can automatically search for the optimal combination of hyperparameters for different datasets to achieve the best performance, demonstrating high flexibility, efficiency, and strong generalization.
Subjects: Information Science and Systems Science >> Methodology of System Engineering Subjects: Engineering and technical science >> Engineering Cybernetics submitted time 2024-06-29
Abstract： An urban overpass and its construction method, in the fields of traffic science, traffic rules, traffic engineering, and technical management. After studying the 3D mathematical model of transportation and examining the construction of urban transportation facilities in Beijing in recent years, the inventor proposed an optimized combination scheme for the transportation system of mega cities; The present invention provides a highly optimized and economical design and construction scheme for overpasses based on the characteristics of urban transportation. The scheme effectively reduces traffic flow and pedestrian vehicle intersections, improves exchange rates, has road buffering and high applicability capabilities, and is suitable for upgrading and renovating large flow complex traffic nodes such as intersections and five forks. While improving performance, it can also reduce the overall complexity of transportation facilities. The present invention only requires partial modifications to existing urban roads and overpasses, reducing the difficulty of implementation and is one of the important combination solutions for improving urban congestion.
Peer Review Status:Awaiting Review
submitted time 2024-06-29
Abstract： A new sub-critical reactor concept is proposed as one accelerator splitting into multiple beams to drive the subcritical reactor in this work, which is so called Multi-Beam Accelerator Driven System (MB-ADS). The spallation target is designed as a unit similar to the fuel assembly. The high current proton beam is divided into multiple parts and injected into different targets located in the core to improve beam efficiency and flatten the spatial power distribution of the core. Based on different MB-ADS schemes, neutronics were conducted on the effects of beam splitting number, target assembly arrangements, fuel partitioning, and neutron data libraries. The results show that a reasonable multi-beam scheme can significantly improve the efficiency of the proton beam and flatten the power distribution of the reactor compared to the one target ADS scheme. Due to the improved beam efficiency, the beam density on the target window is greatly reduced.
Peer Review Status:Awaiting Review
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