The theory of artificial intelligence has become one of the key fields that all countries must contend for in order to safeguard their strategic interests. From the perspective of thinking, artificial intelligence understanding can be divided into Western thinking and Oriental thinking. The former is the mechanical reduction methodology of integration-separation-integration, and the latter is the philosophical thought of interconnection of all things. In the process of studying the theory of safety science and artificial intelligence, some problems are found worthy of study. The process from general domain technology to theory is from analysis to reasoning, from data to factors, from concrete science to philosophy. Artificial intelligence is thought to be factor driven rather than data driven. The thought of factor driven is very important in Chinese traditional philosophy, which accords with the characteristics of Oriental thinking and is also applicable to the basic theory of artificial intelligence. Therefore, the original basic theory of artificial intelligence in China is unique, and the opportunities are greater than the challenges. This fundamentally ensures that the Oriental thinking will win the game between the East and the West in the study of the basic theory of artificial intelligence.

“Thriving business” is the focus and the economic foundation of rural revitalization, and the premise of solving all rural problems. In order to solve the talent constraints caused by the shortage of high-quality farmers in rural vitalization, this study reviews the existing literature on the new professional farmers cultivation, conducts in-depth interviews with government staffs responsible for the cultivation of new professional farmers, and based on the literature review and interviews, forms the questionnaire of the supply and demand of the new professional farmers cultivation, clarifying the contradictory problems of cultivation scale and contents of new professional farmers through the questionnaire survey. Based on extension theory, this study establishes the extension model of contradictory problems, solves the contradictory problems through extension transformation, and finally forms a new professional farmers’ cultivation supply model. This study can effectively improve the cultivation efficiency of new professional farmers and promote the effective implementation of rural industry prosperity.

In the continuously developing economic and social environment, the popularity of higher education is increasing. The college entrance examination and the postgraduate entrance examination are important in the work of the higher education entrance examination. The establishment of scientific, comprehensive and objective evaluation system and decision model will contribute to the further optimization and improvement of college admission system. Extenics is used to quantitatively analyze college entrance examination and postgraduate enrollment and some improvements are proposed. As for the college entrance examination, from the perspective of students’ development, the correlation function is established, the correlation before and after the reform calculated, and the impact on students and the promotion effect of the college entrance examination reform on the development of students quantitatively analyzed. As for the postgraduate entrance examination, using the extension analytic hierarchy process and Delphi method, a decision-making model is established for the admission of transfer students to guide the admission.

Applying the theory of Sustainable Transformation (ST), and based on the national perspective, a management model centered on the whole process of disruptive technology evolution is built, taking the case of disruptive innovation management in representative developed economies as a case. After an in-depth analysis from the external evolution and endogenous evolution of disruptive technology, it is found that in the process of disruptive innovation in developed economies, disruptive innovation management mechanism plays a leading role, establishing an unconventional project operation mode, setting up specialized agencies and recruiting project managers, and constantly promoting the protection space of top-level design and construction of disruptive innovation, forming a disruptive innovation technology management mechanism. The above research provides a brand-new conceptual model for analyzing the evolution process of disruptive technology, providing theoretical support for the government to construct a disruptive innovation management mechanism. At the same time, it can deepen the understanding of the value of subversive innovation and its evolution law, and accelerate the development of disruptive innovation technology and provide decision-making reference for the government.

Considering the impact of novel coronavirus pneumonia (COVID-19), the main factors influencing travel mode choice behavior of residents were analyzed from the aspects of traveler attributes and travel characteristics for the three periods of COVID-19 epidemic: early-stage, mid-stage, and late-stage. The Nested Logit model was adopted to establish the travel mode choice model because of a correlation between travel modes. Influence factors of travel mode choice behavior in different stages of COVID-19 epidemic were analyzed using the SP data of residents in Tanzhou Town, Zhongshan City. The results showed that the significant factors influencing travel mode choice behavior were different in different epidemic periods, and the influence degree of the same factor was also different in different epidemic periods. These results can provide support for relevant authorities to formulate abnormal traffic management measures under public health emergencies.

In order to study the outdoor thermal comfort of campus in hot and humid area in winter, six common campus public spaces in Dongfeng Road campus of Guangdong University of Technology are selected as the research objects and divided into three space types: building surrounding, building side opening and garden. By measuring the environmental physical parameters and conducting the subjective questionnaire, the PET (Physiological Equivalent Temperature) is calculated by Rayman model and the neutral temperature of PET is 20.4 ℃ by regression analysis. The overall thermal comfort and thermal acceptability of the outdoor thermal environment of Guangzhou Campus in winter are high, in which the thermal feeling of the people in the surrounding space of the building and the thermal comfort voting show a linear relationship, while the other types of space show a quadratic polynomial relationship, which provides an optimization reference for the campus thermal environment in the hot and humid area in winter.

Receiver operating characteristic curve analysis can be used to evaluate the performance of classifiers and find the optimal segmentation points of different categories. Among them, the non-parametric method has been widely used in practice because of its simplicity and flexibility.How to construct and evaluate receiver operating characteristic curve for the classified data by ROC nonparametric method was introduced .

In recent years, the research on fault prediction of discrete event systems has received considerable attention. In this research, the prediction of patterns fault for decentralized discrete event systems is investigated. Firstly, the notion of predictability of patterns fault for decentralized systems is defined and the patterns fault predictability of distributed discrete event systems formalized. By constructing a patterns fault recognizer, patterns fault is identified from all behaviors of the system, and the unobservable closure is constructed for different observation points of decentralized system. On this basis, the patterns fault prediction verifier is constructed by combining the events observed at each station, which solves the problem of patterns fault prediction of decentralized discrete event system. A sufficient and necessary condition for determining the predictability of the decentralized systems is obtained. The corresponding patterns fault prediction algorithm is proposed and implemented. Finally, the complexity analyses of the construction of the decentralized patterns fault prediction verifier and the patterns fault prediction algorithm are carried out.

Blockchain is a new decentralized architecture with the rise of bitcoin and other digital currencies. In blockchain, pseudonyms are used to provide anonymity. However, studies have shown that such anonymity is not safe. Correlation between different pseudonyms can be found through transaction graph analysis, and the pseudonyms of the same user can be found to destroy anonymity. This problem can be solved by mixing addresses. A decentralized hybrid method is proposed, which is proved by analysis to be able to effectively protect users' privacy and realize the mixing of different amounts of users to increase the convenience.

Sequential patterns in human beings movement play an important role in location recommendation of geosocial network services. The existing location recommendation system must access the user's original check-in location data in order to mine its sequence pattern, but this will disclose the user's location privacy. To solve this problem, a location recommendation algorithm based on differential privacy protection called DPLORE is proposed. Firstly, the transfer counting matrix is constructed based on the original data, and noise is added to the decomposed matrix elements by using Laplace mechanism, which makes the algorithm meet the differential privacy protection. Then, on the basis of Multi-Markov Chain model, an adaptive weight Nth-Markov Chain model, which uses the user's order pattern to recommend the location, is proposed. Finally, experiments show that the proposed algorithm framework DPLORE has better recommendation precision and recall rate than the existing algorithms, and DPLORE achieves a good trade-off between high recommendation precision and strict location privacy protection.

In this paper, we study the existence and uniqueness of common fixed points in cone metric spaces over Banach algebras without the normality of cone and the weakly increasing of mappings. The results improve and generalize some main conclusions in related literatures.

Inspired by an important equality in the study of the growth of Dirichlet series, the corresponding results are generalized in this paper by invoking some properties of functions of bounded Vitali variation, some properties of Riemann-Stieltjes integral and some results from real analysis. Moreover, a well-formed equality is obtained, which is similar to the Parseval’s equality in the inner product space.

A four arm star-shaped pH responsive polymer adamantane-[poly(lactic-co-glycolic acid)-b-poly(N, N'-diethylaminoethyl methacrylate)-poly(ethylene glycol) monomethyl ether]₄ was synthesized using adamantane as core. Self-assembly micelles of the synthesized polymer were prepared and the controlled release properties were further investigated. The results showed that the proportion of PDEAEMA had important effects on the properties of polymeric micelles, reflected by the fact that polymeric micelles with longer PDEAEMA segment had larger particle size, better drug loading capacity and higher cumulative drug release. Furthermore, the polymeric micelles had desired stability (CMC 0.0031 mg/mL), good pH-responsive function and high drug loading capacity (up to 24.8%). Under the simulated environment of tumor tissue (pH=5.0), the cumulative release of DOX-loaded micelles (85.2%) was significantly higher than those under the simulated environment of normal tissue (pH=7.4, 20.9%), indicative of the well-controlled release behavior of drug-loaded micelles. In conclusion, such pH-responsive polymeric micelles 4sAd-PLGA-D-P present great potential in the field of anticancer drug delivery.

Aiming at exploring new phosphors with deep red or near infrared emission, Mn ion activated Ca₁₄Zn₆Al₁₀O₃₅ phosphor was synthesized using high-temperature solid-state method in the air. The spectra of X-ray diffraction curves, reflection spectra, photoluminescence spectra, as well as photoluminescence decay curves, of the phosphors were measured. Both deep red and near infrared emission from Mn⁴⁺ and Mn⁵⁺ ions respectively, were observed. The emission of Mn⁵⁺ ion reaches a maximum when Mn ions substitutes 12.5 % Al site in Ca₁₄Zn₆Al₁₀O₃₅. Mn⁵⁺ ion shows an intense narrow band emission centering at 1157 nm due to its ¹E→³A₂ transition, with the lifetime 87.46 ms in Ca₁₄Zn₆Al_8.75Mn_1.25O₃₅. The temperature sensitivity of the near infrared emission reaches a maximum 0.0024 K^-1 at 368 K. It is worth noticed that the energy transfer from Mn⁴⁺ to Mn⁵⁺ is observed, which extend the excitation band of Mn⁵⁺ widely and enable to excite the infrared emission of Mn⁵⁺ by the commercial InGaN blue chips. Moreover, the excitation and emission peaks locating at 650 nm and 1157 nm respectively are beneficial for real-time biological detection. Thus, we believe that the phosphor has great potential as a multi-functional infrared emission material.

The application of a low-temperature thermal conductive silica gel/phase change material composite module in the battery module can effectively solve the problem of phase change material precipitation due to liquefaction, while maintaining the high thermal conductivity and high latent heat value of phase change material. Due to certain elasticity and viscosity of heat-conducting silica gel sheet, the whole system has a certain buffering effect, which reduces the contact thermal resistance between phase-change material and battery, and further improves the heat dissipation performance of the whole system. At 3C discharge rate, the temperature of forced air cooling was 57.99 ℃ compared with 66.63 ℃ of natural cooling. The maximum temperature of PCM(Phase Change Material) cooling mode is 44.78 ℃ and the maximum temperature difference is 3.70 ℃. They were down 32.8 percent and 22.78 percent, respectively. In the 3C discharge rate cycle, the PCM cooling mode battery module has a temperature of 51.45 ℃ after three cycles, which is still within the safe temperature rang.