This work presents the results of the continuity of the research process carried out in the Energy Studies Center belonging to the Faculty of Technical Sciences of the University of Matanzas, which involves the establishment of a dimensionless model to determine the average condensation heat transfer coefficient of Air Coleed Condenser (ACC) systems in straight and inclined tubes. The research consists in obtaining in an analytical way the solution of the differential equation of the velocity profile, considering that condensation is of pellicular type, finally the empirical condition of Roshenow is combined with the theoretical solution to generate a numerical expression that allows obtaining with a 15.2% of deviation in 2,192 tests, a value of the average coefficient of heat transfer by condensation very similar to the one obtained with the use of the most referenced model in the consulted literature, the empirical model of Chato.

Corporate finance courses are increasingly adopting data-driven teaching methods. Modern corporate finance courses are focusing more on students' career development. Through simulation practice and career planning guidance, students are better prepared to face challenges in the workplace after graduation. Students need to learn how to utilize data analysis tools and techniques to extract useful information from large datasets and make more accurate decisions. Data-driven teaching is a significant innovation in current curriculum reforms. In recent years, with the development of technology and the emergence of financial innovation, corporate finance courses have been undergoing continuous changes and innovations. These courses have started to emphasize emerging areas such as digital finance, blockchain technology, and sustainable development. Taking the example of corporate finance, this paper integrates the demands of skill development in the era of digital finance, focusing on aspects like teaching methods, reform methodologies, practical experiments, feedback mechanisms, and data analysis.

Reading comprehension ability, as a key skill that needs to be developed in English teaching, has attracted high attention from teachers and students in universities. This is not only due to its relatively large proportion in English exams, but also due to the entering of the information age, people need to obtain information from the text through extensive reading and gain a profound understanding of the content of the article. Therefore, in the process of guiding students to learn English knowledge, teachers must take cultivating students' reading comprehension ability as the central link of teaching activities. Through exploring and researching it in teaching, students can improve their reading comprehension level and enable them to have a deeper understanding of the profound connotations to be expressed in future English texts.

Judicial control in administrative law has become a necessity in administrations. Given the significant role it plays in confronting illegal activities and preserving property, money and the security of individuals in society. This research aims to introduce judicial in the United Arab Emirates and discuss the relationship between cause and causation.The descriptive analytical approach was used to study the research problem.the research conclude that cause and causation the most important element that enables the judiciary control the legality of the administration’s decisions. It is of great importance safeguards to protect individuals from abuse of administration by informing the person concerned of the reasons for making the decision, since the administration, in exercising its powers, must respect the set of legal rules established for it in the State.the research recommend that the competent authorities to make causation an essential part of the cause and a failure to render administrative decisions null and void in order to ensure transparency and to affirm the rule of law, with the exception of acts of supreme sovereignty, in order to preserve the supreme interest of the State.

Under the background of the development of the network information age, the current Internet industry has obtained more development opportunities, but it has also brought corresponding challenges in the process of wide application. In the development and construction of modernization, society pays more attention to the supervision and determination of the characteristics of online public opinion. From the perspective of the current characteristics of network public opinion, because social information is more extensive and involves many fields, network public opinion has a high degree of complexity and diffusion. Therefore, it is necessary to strengthen the analysis and application of relevant data mining systems in order to achieve efficient management of network public opinion. The key to the disadvantage of the traditional excavation of public opinion communication characteristics lies in the lag of the excavation process, and it is difficult to deal with malignant public opinion in a timely and effective manner. Therefore, in order to truly solve the lagging problem of public opinion data dissemination feature mining technology, it is necessary to strengthen the application of artificial intelligence technology in it.