Subjects: Library Science，Information Science >> Library Science submitted time 2024-05-15 Cooperative journals: 《农业图书情报学报》
Abstract： The scientific connotation, strategic considerations and practical ways of new quality productive forces have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China’s national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China’s modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China’s asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today’s public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of doing something under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-10-09 Cooperative journals: 《心理科学进展》
Abstract： Mind wandering is a common psychological phenomenon that we commonly face in our daily lives, and it can have negative effects, such as increasing the incidence of car accidents and affecting academic performance. Given the adverse effects of mind wandering on people, it is particularly important to adopt a reasonable intervention to mitigate the negative effects of mind wandering. Mindfulness meditation as a form of intervention has gained traction in recent years. In order to investigate the effects of mindfulness meditation on mind wandering and its mechanism, based on a systematic review of previous studies, the present study summarized the effects of mindfulness meditation on mind wandering from different perspectives, such as training duration, training format, the setting of the controlled group, and different groups. Combining the two aspects of neural mechanism and related theoretical models, the mechanism of mindfulness meditation to improve mind wandering was also explained. First of all, there are different training durations for mindfulness meditation, such as 8 minutes, 4 days, 8 weeks or even longer. This study analyzed the effects of different training durations of mindfulness meditation on mind wandering, and clarified that different training durations of mindfulness meditation have different effects on the improvement of mind wandering, and fewer longitudinal studies have been used in the past. Second, there are many forms of training for mindfulness meditation, such as mindful breathing exercise, sitting meditation, and body scan. This study found that different forms of mindfulness meditation have different effects on mind wandering by comparing different studies. Third, most of the previous related studies were examined in the form of randomized experimental group and controlled group. Based on the examination of different controlled groups, it is clear that it is important to use appropriate controlled group in the study of mindfulness meditation on mind wandering, such as the use of controlled group by considering active controlled group and passive controlled group. This method is conducive to avoiding the interference of additional variables and highlighting the effect of mindfulness meditation. Fourth, by examining different groups, it was also found that the degree of effectiveness of mindfulness meditation in reducing mind wandering may depend on the characteristics of the target group. For example, the researcher's study on the normal group found that mindfulness meditation reduced the occurrence of mind wandering. In contrast, for individuals with negative emotions, the improvement of mind wandering by mindfulness meditation was shown to be protective. Fifth, by measuring the changes in neural mechanisms before and after the intervention, for example, EEG components such as alpha and beta, ERP components such as N2, P3, and MMN, and the default mode network in the brain, we explained the mechanism of action of mindfulness meditation to improve mind wandering from the perspective of neural mechanisms. Sixth, combining the natural cognitive fluctuation model and the cycle of meditation and mind wandering, the present study found that the improvement of mind wandering by mindfulness meditation works through different stages, such as attentional modulation, meta-consciousness enhancement, and the calming thought. These stages do not necessarily occur in a sequential manner, and the applicability of these stages to other forms of mindfulness meditation needs to be verified. Previous studies have defined mind wandering as a single structure and directly examined the effects of mindfulness meditation on mind wandering, without distinguishing between intentional and unintentional mind wandering. Future research should continue to delve deeper and clarify the effects of mindfulness meditation on different types of mind wandering. In addition, previous studies have examined the effects of a single form of mindfulness meditation on mind wandering, neglecting a direct comparison of the effects of different forms of mindfulness meditation on mind wandering. In the future, it is possible to directly compare the effects of different forms of mindfulness meditation on mind wandering, in order to clarify the most effective form of improving mind wandering, and to determine the most effective duration of different forms of mindfulness meditation interventions. In the future, we can also continue to explore the underlying mechanisms, such as understanding the time course of the effects of mindfulness meditation, exploring the reasons for the differences between different processes, and validating the different stages of mindfulness meditation to improve mind wandering, so as to validate and improve the existing theoretical models.
Subjects: Psychology >> Cognitive Psychology submitted time 2023-07-31
Abstract： Mind wandering is a common psychological phenomenon that can cause many obstacles for people. Mindfulness meditation is one of the important intervention methods to alleviate or avoid mind wandering. Therefore, based on an overview of the previous research, the improvement effect of mindfulness meditation on mind-wandering was firstly summarized through various aspects such as different durations, different forms, control group settings, and different groups. Second, combined with the neural mechanism and related theoretical models the mechanism of action is elaborated. Third, some potential directions for future research are discussed, including the types of mind-wandering, and different forms of mindfulness meditation, to explore the improvement of mindfulness meditation on mind-wandering and build a perfect theoretical model.
Subjects: Optics >> Quantum optics submitted time 2023-07-10
Abstract： The atomic system has reflection symmetry, parity, and atomic stimulated radiation amplified by a parallel plane resonant cavity, can generate macroscopic photons entangled state[4].
It is a quantum entangled state of 2N photons with a certain parity, a total momentum of zero, a certain energy, and a certain angular momentum. Observing it in time and space has uncertainty and randomness. According to the Heisenberg uncertainty principle, its energy (frequency) and momentum are completely determined. The measurement accuracy can reach the Heisenberg quantum limit and has a quantum 2N enhancement effect (2N is the number of entangled photons).
The probability distribution P2N （t） of ∣Ф2NI > and its fourier transform P2N （w-w0 ）were measured through experiments, and the experimental results were in line with theoretical expectations. And the lifetime of macroscopic photons entangled state was observed, which also has a 2N enhancement factor. The experimental results are consistent with theoretical expectations.
Peer Review Status:
Awaiting Review
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Many research findings in digital humanities have emerged in China, and digital humanities develops gradually from the cognitive exploration stage to the digital exploration stage in recent years. From the micro perspective of "data resources" and "digital technology", this paper describes the actual panorama of the collision between "digital" and "humanity" by quantitative analysis, in order to have an intuitive and practical cognition of "digital-type" research in digital humanities.[Method/process] By using bibliometrics, qualitative analysis and multi-dimensional scale analysis, this paper made an in-depth analysis and reflection on domestic digital humanities related research from the aspects of research institutions distribution, interdisciplinary characteristics, "digital" utilization and primary research types.[Result/conclusion] From the perspective of research institutions, digital humanities research is evenly distributed and has broad space in multiple disciplines; from the perspective of data, a few large thematic databases and data self-collated by researchers are the main sources; from the perspective of research types, there are resource building research, tool-driven research and scenario-integrated research, each of them has a specific focus, and scenario-integrated research achieves a better balance between "digital" and "humanity". In the future, it is necessary to actively build appropriate data infrastructures, cultivate the digital academic ability of scholars, and promote the transformation of the role of "humanity" to support the paradigm change of digital humanities research.
Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2023-03-28 Cooperative journals: 《中国全科医学》
Abstract： Objective To evaluate the impact of widowhood on the mental health of older adults in China，and provide a basis and reference for formulating the mental health intervention program for older adults in China. Methods Using the 2018 China Health and Retirement Longitudinal Study （CHARLS） as the data source，4694 older adults aged 60 years and above were selected as study subjects and divided into the widowed group （n=644） and non-widowed group （n=4050）. The mental frailty index was used as a perspective for evaluating the mental health status of older adults. Using propensity score matching（PSM）model，the propensity score was calculated by using Logistic regression analysis，the robustness was tested by using standard deviation variation，common support bar graph and nuclear density distribution，the impact of widowhood on the physical and mental health of older adults was analyzed by using K-nearest neighbor matching，radius matching and kernel matching，and the heterogeneity was tested based on gender，household type and age. Results Compared to the non-widowed group，the mental health of older adults in the widowed group was impaired （P<0.001）. Logistic regression model results showed that gender，age，education level and monthly family consumption were correlated with widowhood（P<0.001）. The robustness test results after matching were better. The results of PSM showed that widowhood significantly increased the mental frailty index level（ATT ranged from 0.054 to 0.055，P<0.001）. The results of heterogeneity test showed that there were significant differences between urban and rural areas and among different age groups in the impact of widowhood on the mental frailty index of older adults，but there was no significant difference between male and female in the impact of widowhood on the mental frailty index of older adults. Among them，the impact of widowhood on the older adults in rural areas was more significant（ATT ranged from 0.072 to 0.075，P<0.001），but the impact on older adults in urban areas was not significant；the impact on older adults in the low age group and high age group was more significant（ATT ranged from 0.061 to 0.081，P<0.01；0.067~0.078，P<0.05），but the impact on older adults in the middle age group was not significant. Conclusion Widowhood has a negative impact on the mental health of the older adults. The impact varies among different older adults. The widowed older adults in rural areas，just entering old age and in their later years need attention and psychosocial support.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： The rapid accumulation of data resources and the development of analysis technologies have expanded the scope of think tank research, and prompted think tanks to pay more attention to data intelligence. Meanwhile, higher requirements are put forward on the quality and innovation of the think tank. Facing the development needs of think tanks, i.e., modernization, innovation, and conscientization, this paper demonstrates the change of data-driven think tank researches from the perspective of the information chain. The paper analyzes the urgent need to reshape the discursive logic of the think tank, and discusses the construction scheme of triangulation for data-driven think tank research. Finally, several suggestions for optimizing the construction of think tanks are put forward, such as paying attention to the complementarity of correlation and causality, integrating the technical rationality and humanistic values, analyzing from the perspective of cyber-physical-human ternary space, seeking support from multidisciplinary knowledge, and constructing the engineering services of the think tank.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-02-17 Cooperative journals: 《智慧农业（中英文）》
Abstract： The detecting and grading of the internal quality of apples is an effective means to increase the added value of apples, protect the health of residents, meet consumer demand and improve market competitiveness. Therefore, an apple internal quality detecting module and a grading module were developed in this research to constitute a movable apple internal quality orchard origin grading system, which could realize the detection of apple sugar content and apple moldy core in orchard origin and grading according to the set grading standard. Based on this system, a multiplicative effect elimination (MEE) based spectral correction method was proposed to eliminate the multiplicative effect caused by the differences in physical properties of apples and improve the internal quality detection accuracy. The method assumed that the multiplication coefficient in the spectrum was closely related to the spectral data at a certain wavelength, and divided the original spectrum by the data at this wavelength point to achieve the elimination of the multiplicative scattering effect of the spectrum. It also combined the idea of least-squares loss function to set the loss function to solve for the optimal multiplication coefficient point. To verify the validity of the method, after pre-processing the apple spectra with multiple scattering correction (MSC), standard normal variate transform (SNV), and MEE algorithms, the partial least squares regression (PLSR) prediction models for apple sugar content and partial least squares-discriminant analysis (PLS-DA) models for apple moldy core were developed, respectively. The results showed that the MEE algorithm had the best results compared to the MSC and SNV algorithms. The correlation coefficient of correction set (Rc), root mean square error of correction set (RMSEC), the correlation coefficient of prediction set (Rp), and root mean square error of prediction set (RMSEP) for sugar content were 0.959, 0.430%, 0.929, and 0.592%, respectively; the sensitivity, specificity, and accuracy of correction set and prediction set for moldy core were 98.33%, 96.67%, 97.50%, 100.00%, 90.00%, and 95.00%, respectively. The best prediction model established was imported into the system for grading tests, and the results showed that the grading correct rate of the system was 90.00% and the grading speed was 3 pcs/s. In summary, the proposed spectral correction method is more suitable for apple transmission spectral correction. The mobile orchard local grading system of apple internal quality combined with the proposed spectral correction method can accurately detect apple sugar content and apple moldy core. The system meets the demand for internal quality detecting and grading of apples in orchard production areas.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-05-10 Cooperative journals: 《计算机应用研究》
Abstract： In recent years, the deep supervised hash retrieval method have been successfully applied to many image retrieval systems. However, the existing methods still have some shortcomings: First, most of the deep hash learning methods use symmetric strategies to train the network, but the training of this strategy is usually time-consuming and difficult to be used in the large-scale hash learning process; Second, there is a discrete optimization problem in the hash learning process. Existing methods relax this problem and it is difficult to guarantee the optimal solution. In order to solve the above problems, this paper proposes a greedy-asymmetric deep supervised hashing method for image retrieval, which fully combines the advantages of the greedy algorithm and asymmetric strategy to further improve the hash retrieval performance. This article compares 17 state-of-the-art methods on two commonly used datasets. Compared with the state-of-the-art methods, our method increases the mAP in 48-bits setting by 1.3% on CIFAR-10 dataset. And on NUS-WIDE dataset, increases the mAP in all-bits setting by increased 2.3% on average. The experimental results show that our method can further improve the performance of hash retrieval.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-05-10 Cooperative journals: 《计算机应用研究》
Abstract： Aspect-level sentiment analysis aims to determine the sentiment polarity towards specific aspect in reviews. However, little research has been done on the influence of complex sentences on sentiment classification. Based on this, this paper proposed an aspect sentiment classification model based on Bert and Self-attention network with relative position. Firstly, it used the dynamic weighted sampling method to balance the rare contrastive sentences, so that the model can learn more contrastive sentence feature information. Then, it jointly trained the feature representations extracted by double-head self- attention network with relative position and the feature representations obtained by the Pre-trained model with absolute position . Finally, it used the label smoothing regularization technology to stabilize the model to identify the neutral samples. It tested this model on Sub Task 2 in SemEval 2014 task, and improved both accuracy and Macro-F1 indicators of the two datasets. The experimental results show that the effectiveness of the proposed model for contrastive sentences classification, and also yield improvements in the whole test set over other benchmark models.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： The infectious disease prevention information system has the problems that data is difficult to circulate and share between monitoring systems. To solve these problems, this paper based on Delegated Proof of Stake consensus algorithm combined with blockchain technology proposed an Infectious Disease Data Sharing model. By virtue of the characteristics of the blockchain, such as decentralization, non-tampering and collective maintenance, double-chain be used as the blockchain architecture, which improves the work efficiency. Combined with Inter-Planetary File System, large capacity storage space is obtained, which solves the space problem faced by block data storage and ensures the stability and sharing security of data storage. A consensus algorithm for disease prevention and control to realize the efficient operation is proposed by this paper. In addition, by comparing with other data sharing models, the advantages of this model in data storage and sharing security are highlighted.
Subjects: Astronomy >> Astrophysical processes submitted time 2019-04-08 Cooperative journals: 《天文研究与技术》
Abstract：本文在激光测高方法获取的100m分辨率的全月DEM数据基础上，选取1407个不同形态的撞击坑，提取多视角刻画撞击坑形态的地形因子指标，并进行撞击坑形态特征分析；在此基础上，采用数理统计与地理建模的方法，重点探讨地形因子间的关联性，进一步构建基于多因子的量化模型，以解释地形因子信息与撞击坑形态发育的内在联系。结果表明，深径比（Y）与直径（X1）、体积（X2）、圆度（X3）、体态比（X4）以及坑壁坡度（X5）能较好地刻画撞击坑形态发育特征，通过多元线性回归拟合构建指标间的函数关系，且拟合模型在0.05置信水平下的显著性F=492.037>>F，拟合模型的的显著性极好， 为其模拟函数关系式，拟合优度达0.637。该模拟方法在月表撞击坑形态发育研究中有重要意义，是撞击坑形态特征的数字地形模拟与信息挖掘的一次有益实践。
Subjects: Biology >> Botany >> Applied botany submitted time 2018-12-04 Cooperative journals: 《广西植物》
Abstract：圆叶牵牛植物资源丰富但全草少有研究，对其进行系统的化学成分与生物活性认识很有必要。本文对采自云南大理的圆叶牵牛干燥全草化学成分进行了系统的研究。通过 75%乙醇冷浸提取，浸膏以水分散，依次以乙酸乙酯和正丁醇萃取。采用硅胶、Sephadex LH-20、RP-18 等多种材料柱层析结合重结晶等方法，从圆叶牵牛醇提物乙酸乙酯部分分离得到 12个单体化合物，运用现代波谱学技术分别鉴定为木栓酮（1），β-木栓醇（2），β-香树脂醇（3），α-香树脂醇（4），6β-羟基豆甾-4-烯-3-酮（5），胡萝卜苷（6），β-谷甾醇（7），豆甾醇（8），7-羟基香豆素（9），对香豆酸-对羟基苯乙醇酯（10），山奈酚香豆酰基葡萄吡喃糖苷（11），单棕榈酸甘油酯（12）。化合物 2-5、10-12 为首次从该属植物中分离得到。
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-24 Cooperative journals: 《计算机应用研究》
Abstract： To solve the problem of large-scale network attack detection, this paper proposed a gated memory network method, based on word vector feature representation and recurrent neural network. Firstly, the proposed method transformed the network request data into low-dimension real-value vector sequence representation. And then, it extracted the features of request data by using the memory ability of gated recurrent neural network. Finally, it adopted the logistic regression classifier to achieve automatic detection of network attack. On the CSIC2010 public data set, this method achieves 98.5% 10-fold cross-validation F1-score. Comparing with traditional methods, it can effectively improve the precision and recall rates for detecting network attack. The proposed method can detect network attacks automatically and has good detection results.
Subjects: Biology >> Zoology submitted time 2017-10-23 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮中添加壳寡糖与干酪乳杆菌对肉鸡生长性能、肌肉品质及抗氧化性能的影响。选用1日龄爱拔益加（AA）健康肉公鸡240只，随机分为4组，每组6个重复，每个重复10只。对照组饲喂基础饲粮，试验组分别在基础饲粮中添加120 mg/kg壳寡糖、2×106 CFU/g干酪乳杆菌、120 mg/kg壳寡糖+2×106 CFU/g干酪乳杆菌。试验期为42 d。结果表明：1）与对照组相比，单独添加壳寡糖或壳寡糖和干酪乳杆菌共同添加可显著提高肉鸡平均日增重、胸肌和腿肌红度（a*）值，肌肉脂肪含量、胸肌单不饱和脂肪酸和多不饱和脂肪酸含量以及胸肌和腿肌中肌苷酸含量（P<0.05），显著降低胸肌饱和脂肪酸含量、腿肌黄度（b*）值（P<0.05）。2）饲粮中单独添加干酪乳杆菌显著提高腿肌肌肉脂肪及胸肌单不饱和脂肪酸含量（P<0.05），显著降低胸肌饱和脂肪酸含量（P<0.05）。3）饲粮中单独添加壳寡糖、干酪乳杆菌或二者共同添加均可显著降低血浆、胸肌和腿肌丙二醛含量（P<0.05），显著提高血浆、胸肌和腿肌总超氧化物歧化酶活性及总抗氧化能力（P<0.05），显著降低血浆肌酸激酶的活性（P<0.05）。综合分析表明，饲粮中添加壳寡糖、干酪乳杆菌或二者共同添加可提高肉鸡的生长性能和抗氧化性能，改善肌肉品质，而单独添加120 mg/kg壳寡糖效果最佳。
Subjects: Biology >> Bioengineering submitted time 2017-06-01 Cooperative journals: 《中国生物工程杂志》
Abstract： Each year forest pest spawned a great number of economic losses and caused severe ecological damage in the worldwide. A biological control method using a biopesticide was recognized as an ideal solution, and an insecticidal crystal protein (ICP) Cry3Aa from Bacillus thuringiensis was identified as the most effective biopesticide. In this report we have succesfully cloned the Cry3Aa from Bacillus thuringiensis and expressed in a plant natural endophyte bacterium Burkholderia pyrrocinia JK-SH007，with a predicted molecular mass of 70 kDa. The bioassay using bacterial crude extracts revealed highly toxic to Pyrrhalta aenescens (Fairmaire) in the 2 instar with a LD50?=0.63(0.48-0.82)g/L, thus the GM bacterium possesses both the insecticidal activity and plant disease-resistance. Our reports have laid the foundation for further exploitation of this biocontrol bacteria, and could benefit forest protection.
Subjects: Computer Science >> Computer Network submitted time 2017-03-10
Abstract：网络的功能正逐步从简单的浅层分组处理向基于深度分组处理的复杂应用演化，适合 高速核心网络（10Gbps）的线速深度分组检测技术成为了一个研究热点。本文指出了深度 分组检测系统存在的“速度与性能之间的矛盾”及“语义失真”两个关键科学问题。围绕这 两个问题，系统综述和深入分析了检测方法、检测模型、检测算法等方面出现的多种优化技 术和策略，探讨了相关的研究动态与发展趋势，并总结了进一步的研究方向。
Peer Review Status:Awaiting Review
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