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In transferring the data to the iOS client, the data needs to go through a communication tunnel and be decoded as plaintext information within the client. As a powerful dynamic pile inserter, Frida has played a significant role in decryption and reverse engineering for iOS applications. An attacker can use Frida to decrypt the iOS client for malicious actions like data tampering and destruction. This paper aims to explore client decryption methods for mPaas and BonreeAgent.

With the rapid development of digital technology, virtual and reality are fused, and the combination of animation and VR technology brings opportunities for new changes in animation. Three-dimensional animation is a popular art form, and VR technology has gradually gained widespread attention in the field of three-dimensional animation research. In this paper, the theoretical analysis method, survey method, and empirical research method are mainly used to study the application of VR technology in animation art design creation. It has been found that VR technology’s perception function can have certain cognitive abilities and innovative thinking, and the creation of 3D animation art design can be enhanced in experience by relying on VR technology. In addition, through the comparison of creation effect, the P-value of each dimension of creation effect is less than 0.05, which confirms that the creation of 3D animation art design based on VR technology has better advantages. On the basis of the above research, combining the interactive experience advantages of VR technology, the integration of VR technology and 3D animation art enhances the animation expression and infectious force. The creation structure model that utilizes the characteristics of VR technology to enhance the mutual experience and immersion of 3D animation art design is constructed to promote the updating progress of VR technology in the field of 3D animation.

Accurate construction cost calculation is crucial for assessing project viability and selecting design programs. This paper enhances calculation accuracy by first employing the Boruta algorithm to identify vital cost-influencing factors, which serve as the basis for an improved construction cost model. We introduce an enhanced Artificial Neural Network (ANN) model that integrates the AdaBoost algorithm and cost-sensitive methods to refine construction cost estimations. The efficacy of this model is demonstrated through its overall engineering cost error rate of 3.92%, with specific errors in single-side cost, labor, materials, and machinery usage at 3.51%, 7.09%, 3.36%, and 7.93%, respectively. These results meet established accuracy standards, showcasing the model’s potential to significantly improve construction cost management and control.

Apples are abundant in essential nutrients, including a variety of minerals and vitamins, and are readily digestible and assimilated by the human body. Commonly consumed worldwide, apples are particularly diverse in their varieties. The “Black Diamond” apple from Linzhi, Tibet, stands out as a significant fresh variety. This study utilizes hyperspectral imaging and deep learning techniques to investigate the impact of room temperature storage on the quality of Linzhi “Black Diamond” apples. Specifically, we assess alterations in quality indices such as hardness, weight loss, sugar-acid ratio, as well as the content of phenolics ketones, and volatile aromatic compounds. Our findings provide detailed insights into the effects of ambient storage conditions on the sensory and nutritional quality of these distinctive apples.

A computer vision model is constructed to recognize the expressions and movements of musical performers so as to analyze the changes in the forms and techniques of musical performances under the constructivist theory. The model needs to perform pre-processing, such as grayscale conversion, thresholding, background subtraction, noise reduction, and so on, on the related video before recognizing expressions and actions. The performer’s movements are recognized based on TC-HGCN, while the expressions are recognized based on CSACNN. The average accuracy of TC-HGCN in recognizing dance movements in musicals reaches 87.95%. The facial expression recognition method based on CSACNN can overcome the shortcomings of commonly used expression recognition models. The use of computer vision modeling analyzes the constructivist theory on the form and technique of the next musical performance, which enhances the performance effect and has more infectious and artistic charm.

Emerging technologies such as big data, the Internet of Things and artificial intelligence are developing rapidly and entering into many fields and industries, while their role in the field of news communication and brand image shaping has an important role in influencing. This paper selects WeChat, a Tencent product, as the research object and divides brand image shaping into four dimensions, namely brand awareness, brand trust, brand loyalty, and brand value, to test the relationship between emerging technologies and brand image shaping. Then, we put forward the research hypothesis of this paper and use empirical analysis to test the hypothesis and the empirical results show that the r-value of emerging technology and brand loyalty is 0.591, p<0.01, which proves that there is a positive correlation between the two. Emerging technologies have a significant positive impact on brand awareness, trust, loyalty, and value.

Intercultural communication ability plays an extremely important role in business activities and communication, and it is one of the professional abilities that business English professionals should have. This paper firstly investigates the cultivation of intercultural communicative competence of business English talents in colleges and universities, and summarizes the current problems in the cultivation of intercultural communicative competence of business English talents based on the analysis results. Secondly, based on the blended teaching, a blended teaching model for the cultivation of business English talents in colleges and universities was established, and students from the College of Foreign Languages of University W were selected as the research subjects to carry out the teaching experiment. Finally, the students’ business English application ability, learning experience and intercultural communication competence before and after the teaching experiment were analyzed, and the correlation of the dimensions of intercultural communication competence was also investigated with the Pearson’s correlation coefficient. At the end of the teaching experiment, the total business English score of the experimental group increased from 52.35±1.39 to 80.39±0.98, and the difference between the total business English score of the experimental group and that of the control group reached 21.94, with more than 90% of the students recognizing the blended teaching mode. The cross-cultural communicative competence score of Business English majors improved by 1.643 points, and there was a significant positive correlation between cross-cultural communicative awareness, attitude, skills, and knowledge. Relying on information technology-driven blended teaching can endow the cultivation of business English talents in colleges and universities with more diversified teaching contents and methods, and help improve the intercultural communicative competence of business English talents in colleges and universities.

Data science can promote the intelligence of national governance methods, and enhance the efficiency and effectiveness of national governance through the incorporation of big data collection and processing and intelligent decision-making system. This paper systematically utilizes a variety of methods to study and analyze the optimization strategy of the national governance system of data science under the Marxist perspective. It evaluates the effect of the digital transformation of the governance system implemented in place A by constructing a national governance evaluation index system, and provides focus indicators in the transformation process using fuzzy hierarchical analysis. The average coefficient of variation squared for Digital infrastructure, Agricultural digitization, and Governance digitization is 0.734, 0.876, and 0.775, respectively, which provides a better discriminatory ability. Experts showed different emphasis on different indicators, with “Product network sales rate” scoring the lowest at 78.282. After implementing the governance system optimization strategy, the ecological level of Site A has been increasing year by year. And the national governance system based on data science gets consistent satisfaction from residents, with a comprehensive rating of about 4.26. This paper provides theoretical support and empirical enlightenment for the optimization of the national governance system in the new era.

The construction of key projects during the “First Five-Year Plan” period has laid the foundation for China’s industrial development, and many cities have undergone great changes in infrastructure and urban patterns, and at the same time, it has also accumulated rich and valuable Chinese experience and Chinese wisdom. In this paper, the effect of national macro policies on the implementation of Lanzhou City during the “First Five-Year Plan” period is investigated. First, the impact of national macro policies on the construction of key projects in Lanzhou City is estimated by using the multi-period double-difference model, which shows that the estimated coefficients of the engineering construction variables in Lanzhou City are significantly negative at the level of 1 percent. Secondly, combined with the multi-period double difference model, parallel trend test, robust estimator of heterogeneity, and placebo test are used to verify the robustness of the conclusions obtained from the benchmark regression, and the results show that the conclusions obtained from the benchmark regression are robust. The study of heterogeneity of policy effects shows that, subregionally, national macro-policies have a more pronounced role in promoting economic growth in the western region of Lanzhou, where key projects are being constructed, with a smaller impact on the eastern region, and a statistically insignificant role in the central region.

This study firstly describes the application of data mining technology in the protection and inheritance of classical vocal music, and secondly proposes the basic steps of association rule algorithms in data mining technology for exploring the association between classical vocal music and user collections. This study selects part of the data of a music platform, scientifically analyzes the relationship between user collection and classical vocal works, and empirically proves the classical vocal music protection and inheritance method based on data mining technology proposed in this paper. The study concludes that the probability of users collecting the Ninth Symphony and Carmen is 63.122%, and the probability of collecting the Ninth Symphony and then Carmen is 86.544% when the Ninth Symphony is collected. The experimental data is a strong evidence for the preservation and inheritance of classical vocal music in modern society.