This paper carries out a lightweight review to explore the potentials of data science in the last two decades and especially focuses on the four essential components: data resources, technologies, ...data infrastructures, and data education. Considering the barriers of data science, the analysis has been mapped into four essential components, highlighting priorities and challenges in social and cultural, epistemological, scientific and technical, economic, legal, and ethical aspects. As a result, the future development of data science tends to shift toward datafication, data technicity, infrastructuralism, and data literacy empowerment. The data ecosystem, at the macro level, has also been analyzed under the open science umbrella, providing a snapshot for the future development of data science.
This paper focuses on 30 Wushu athletes of different age groups as a research sample, and uses the improved gray correlation analysis to explore the relationship between balance ability and physical ...training load. Finding the correlation from the time series of randomness can provide the basis for the factor analysis, the precision analysis of prediction, and then determine the main factors. The test results of load and balance ability are briefly analyzed by setting up the measurement indexes of balance ability and three kinds of physical training programs of load. It can be seen that the average value of one-legged closed-eye standing time after HIIT and FATmax interference is 64.24 and 46.9 respectively, which is increased. Then the gray correlation method was used to analyze the HIIT, FATmax and each balance force index, and it was concluded that in the gray correlation analysis, the value of
is usually taken in the range of {0,1} interval, and according to the experience, here
is taken as 0.5. The correlations in the results were all above 0.5, which indicated that the selected indexes had a high degree of correlation with the balance force. The HIIT is the major closed-eye one-legged standing performance of the Wushu athletes influencing factor with the highest correlation.
This paper first analyzes the Bayesian network model based on probabilistic reasoning to study and explore the random phenomenon law of curriculum thinking. Secondly, probability theory and graph ...theory are utilized to deal with uncertain information and reduce the meta-multiplicity of the analysis of uncertain knowledge. Then, the Bayesian network structure learning problem is analyzed, and a constraint-based structure learning method is proposed to score students’ qualities by a given scoring function, and using a search algorithm, the best scoring network structure is searched. Finally, in order to analyze the influence of the Civics curriculum on the quality of students in college A, we should analyze the impact of the curriculum. The results show that from the innovative quality of students, the distribution density of innovative habit and innovative ability scores in the interval of 70~75 is (0.02, 0.035), and the distribution density of innovative consciousness scores in the interval of 70~86.25 is (0.005, 0.07). The data show that curriculum Civics can effectively promote the cultivation of innovative talents and the construction of an innovative country by internalizing the quality of innovation in the heart and externalizing it in the form of cultivating students’ innovative habits, improving their innovative consciousness and enhancing their innovative ability.
Metal-containing Fenton catalysts have been widely investigated. Here, we report for the first time a highly effective stable metal-free Fenton-like catalyst with dual reaction centers consisting of ...4-phenoxyphenol-functionalized reduced graphene oxide nanosheets (POP-rGO NSs) prepared through surface complexation and copolymerization. Experimental and theoretical studies verified that dual reaction centers are formed on the C–O–C bridge of POP-rGO NSs. The electron-rich center around O is responsible for the efficient reduction of H2O2 to •OH, while the electron-poor center around C captures electrons from the adsorbed pollutants and diverts them to the electron-rich area via the C–O–C bridge. By these processes, pollutants are degraded and mineralized quickly in a wide pH range, and a higher H2O2 utilization efficiency is achieved. Our findings address the problems of the classical Fenton reaction and are useful for the development of efficient Fenton-like catalysts using organic polymers for different fields.
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To reduce the communication among processors and improve the computing time for solving linear complementarity problems, we present a two-step modulus-based syn- chronous multisplitting iteration ...method and the corresponding symmetric modulus-based multisplitting relaxation methods. The convergence theorems are established when the system matrix is an H＋-matrix, which improve the existing convergence theory. Numeri- cal results show that the symmetric modulus-based multisplitting relaxation methods are effective in actual implementation.
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Under the new development pattern, both "digital" and "low-carbon" development have entered the fast track, and digital transformation has become an important path to promote green development and ...enhance total factor productivity in agriculture. Based on the data of agricultural companies, this paper empirically verifies the impact of voluntary environmental regulations on total factor productivity. The empirical results show that voluntary environmental regulation has a significant positive impact on total factor productivity of agribusiness. In the mechanistic analysis, it is found that voluntary environmental regulations accelerate the digital transformation process of firms, which in turn increases their total factor productivity. In addition, the level of government environmental concern contributes to the increase of voluntary environmental regulations on firms’ total factor productivity. The findings have practical implications for the sustainable development of agribusiness, providing empirical evidence for policy formulation and adjustment, and helping the agricultural economy to achieve high-quality development.
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With the development of economy, people’s research on nanomaterials has become more and more, and nanomaterials can be applied in many fields, such as medicine and building materials. The animation ...character modeling is very important in the cartoon, and the decoration of the animation character modeling can help improve people’s interest in watching cartoons and improve the quality of cartoons. This paper aims to study the role of metal cellulose nanocomposites in the modeling of decorative animation characters. In this paper, the principles and basic concepts of metal cellulose nanocomposites are presented, as well as the analysis of their properties. The experimental results in this paper show that the adsorption of copper in cellulose nanocomposites reaches 256.28 mg/g, the adsorption of chromium is 40.73 mg/g, and the adsorption of cadmium is 47.20 mg/g. The adsorption of other materials to copper is only 80.44 mg/g, the adsorption of chromium (VI) is only 1.116 mg/g, and the adsorption of cadmium is only 9.487 mg/g. It can be seen that the adsorption capacity of cellulose nanocomposites is much higher than that of other materials, so the adsorption properties of cellulose nanocomposites are very strong and can be applied in many fields.
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Constructing efficient catalysts for the N2 reduction reaction (NRR) is a major challenge for artificial nitrogen fixation under ambient conditions. Herein, inspired by the principle of “like ...dissolves like”, it is demonstrated that a member of the nitrogen family, well‐exfoliated few‐layer black phosphorus nanosheets (FL‐BP NSs), can be used as an efficient nonmetallic catalyst for electrochemical nitrogen reduction. The catalyst can achieve a high ammonia yield of 31.37 μg h−1 mg−1cat. under ambient conditions. Density functional theory calculations reveal that the active orbital and electrons of zigzag and diff‐zigzag type edges of FL‐BP NSs enable selective electrocatalysis of N2 to NH3 via an alternating hydrogenation pathway. This work proves the feasibility of using a nonmetallic simple substance as a nitrogen‐fixing catalyst and thus opening a new avenue towards the development of more efficient metal‐free catalysts.
Well‐exfoliated few‐layer black phosphorus nanosheets (FL‐BP NSs) were developed as an efficient nonmetallic catalyst for electrochemical nitrogen reduction. The catalyst can achieve a high ammonia yield of 31.37 μg h−1 mg−1cat. under ambient conditions. DFT calculations show that the zigzag and diff‐zigzag edges of the FL‐BP NSs are the active centers, which enable selective electroreduction of N2 to NH3 via an alternating hydrogenation pathway.
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“Graphitic” (g)‐C3N4 with a layered structure has the potential of forming graphene‐like nanosheets with unusual physicochemical properties due to weak van der Waals forces between layers. Herein is ...shown that g‐C3N4 nanosheets with a thickness of around 2 nm can be easily obtained by a simple top‐down strategy, namely, thermal oxidation etching of bulk g‐C3N4 in air. Compared to the bulk g‐C3N4, the highly anisotropic 2D‐nanosheets possess a high specific surface area of 306 m2 g−1, a larger bandgap (by 0.2 eV), improved electron transport ability along the in‐plane direction, and increased lifetime of photoexcited charge carriers because of the quantum confinement effect. As a consequence, the photocatalytic activities of g‐C3N4 nanosheets have been remarkably improved in terms of •OH radical generation and photocatalytic hydrogen evolution.
Graphene‐like C3N4 nanosheets produced by direct thermal oxidative etching of bulk “graphitic”‐C3N4 show superior photocatalytic activities compared to the bulk due to a high specific surface area, a larger bandgap (by 0.2 eV), increased lifetimes of photoexcited charge carriers, and improved electron transport ability.
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Recent advances on adaptive steganography imply that the security of steganography can be improved by exploiting the mutual impact of modifications between adjacent cover elements, such as pixels of ...images, which is called a nonadditive distortion model. In this paper, we propose a framework for nonadditive distortion steganography by defining joint distortion on pixel blocks. To reduce the complexity for minimizing joint distortion, we design a coding method to decompose the joint distortion (abbreviated to DeJoin) into distortion on individual pixels; thus, the message can be efficiently embedded with syndrome-trellis codes. We prove that DeJoin can approach the lower bound of joint distortion. As an example, we define joint distortion according to the principle of synchronizing modification direction and then design steganographic algorithms with DeJoin. The experimental results show that the proposed method outperforms previous nonadditive distortion steganography when resisting the state-of-the-art steganalysis.
