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At present, complex discrete dynamic systems are widely used in the field of medicine. The control system in the complex discrete dynamic model is gradually transformed into intelligent control. It has become the main research direction of researchers to improve the medical platform system by adding different modeling strategies. The traditional discrete modeling technology can only be used as the knowledge content of students’ textbooks because it can no longer meet the needs of the development of human society. In order to improve the application of a discrete system in the public platform, this paper studies the improvement of the public health service platform system based on the complex discrete dynamic system. Firstly, a time-driven control strategy is proposed to study the output feedback control with random sampling in the platform. Then, the stability of random parameters and the addition of dynamic scheduling strategies are further studied. Compared with the traditional system, the optimized system greatly strengthens the data transmission problem of input and output channels. The results show that by improving the performance of the public health service platform system, the probability of problems in the process of data transmission is greatly reduced. After adding controllable and observable performance to the system, the stability of the whole system is further improved. The improved public health service platform system studied in this paper can store and transmit a large number of user data in the network environment, automatically maintaining the stability of the system and has a good social application value.

The performance portrait method (PPM) can be characterized as a systematized digitalized version of the trial and error method—probably the most popular and very often used method of engineering work. Its digitization required the expansion of performance measures used to evaluate the step responses of dynamic systems. Based on process modeling, PPM also contributed to the classification of models describing linear and non-linear dynamic processes so that they approximate their dynamics using the smallest possible number of numerical parameters. From most bio-inspired procedures of artificial intelligence and optimization used for the design of automatic controllers, PPM is distinguished by the possibility of repeated application of once generated performance portraits (PPs). These represent information about the process obtained by evaluating the performance of setpoint and disturbance step responses for all relevant values of the determining loop parameters organized into a grid. It can be supported by the implementation of parallel calculations with optimized decomposition in the high-performance computing (HPC) cloud. The wide applicability of PPM ranges from verification of analytically calculated optimal settings achieved by various approaches to controller design, to the analysis as well as optimal and robust setting of controllers for processes where other known control design methods fail. One such situation is illustrated by an example of predictive integrating (PrI) controller design for processes with a dominant time-delayed sensor dynamics, representing a counterpart of proportional-integrating (PI) controllers, the most frequently used solutions in practice. PrI controllers can be considered as a generalization of the disturbance–response feedback—the oldest known method for the design of dead-time compensators by Reswick. In applications with dominant dead-time and loop time constants located in the feedback (sensors), as those, e.g., met in magnetoencephalography (MEG), it makes it possible to significantly improve the control performance. PPM shows that, despite the absence of effective analytical control design methods for such situations, it is possible to obtain high-quality optimal solutions for processes that require working with uncertain models specified by interval parameters, while achieving invariance to changes in uncertain parameters.

Background: Fundamentals of Nursing students at a large school of nursing in the Midwest reported difficulty using their course textbooks. There was also an increase in course failures and a decrease in performance on a Fundamentals of Nursing National Council Licensure Examination (NCLEX-RN®) preparatory proctored examination. Method: A pilot project was implemented to evaluate the effectiveness of interactive, online learning modules compared to textbook readings on student performance, access and use of resources, and student experience. Results: Following the pilot there was a significant improvement in course grades among traditional but not accelerated students using the modules compared to those using the textbook. Students reported that the modules were more engaging, cost-effective, and appealing to various learning styles. Weaknesses identified were the module lengths and technological concerns. Conclusion: The online, interactive modules engaged students with course materials, reduced costs, and may have changed student performance. Additional research is needed among students in other courses and programs. [J Nurs Educ. 2024;63(X):XXX–XXX.]

This study evaluated the effectiveness of a virtual reality (VR) human anatomy simulation training program for undergraduate medical students in Tunisia. Pre- and post-training questionnaires assessed student perceptions of the platform’s accuracy, realism, ease of navigation, engagement, support for memorization, and its impact on reducing exam-related anxiety. A total of 179 students from the Faculty of Medicine of Sousse participated in the study. Findings indicate that VR anatomy simulation significantly enhances learning outcomes and is highly recommended as a supplementary tool alongside traditional instructional method. Notably, the platform is open-source, cost-effective, and globally scalable—designed to be easily adapted across diverse educational settings. By aligning with international efforts to expand equitable access to advanced learning technologies, this study contributes meaningful insights for both resource-limited and high-resource institutions seeking innovative approaches to anatomy education.

As the most widely used agile software development method, Scrum has become a mainstay in many organizations that develop software. Despite Scrum's popularity, several studies examine Scrum implementations that include some parts of the methodology and exclude others. This paper describes how Scrum has been incorporated into the classroom wholesale and highlights important considerations when using Scrum for student software development projects. Students having little to no knowledge of Scrum were able to gain confidence in using the method in a real-world setting. The paper discusses the use of a hands-on Scrum project as a pedagogical tool for teaching the Scrum methodology and software development life cycle principles. Quantitative and qualitative data were collected to understand student experiences with a wholesale Scrum implementation in the classroom. The paper concludes with data analysis and recommendations for implementing Scrum in future projects.

Educators consider the video learning approach an effective method to deliver educational content as compared to the traditional method of books and written materials. This paper presents a project that involves student-generated videos to teach internal control in an undergraduate accounting information systems course. The survey results show that most of the respondents viewed the video project positively. Students commented that the video project enhanced their learning in internal control and also recommended other courses to adopt video as a teaching pedagogy.

Classical linear-control analysis provides a framework for studying dynamic systems involving random disturbances. This framework is used to develop a set of equations that, in historical perspective, combine traditional concepts about the dynamics of economic systems and about the effects of random economic disturbances. This set of equations provides relationships among well-known ideas in general macroeconomics and provides a means to interrelate and examine ideas about stabilization policies. In this study, linear-control analysis is applied as an aid in understanding the fluctuations of business cycles in the past, and to examine monetary policies that might improve stabilization. The analysis shows how different policies change the frequency and damping of the economic system dynamics, and how they modify the amplitude of the fluctuations that are caused by random disturbances. Examples are used to show how policy feedbacks and policy lags can be incorporated, and how different monetary strategies for stabilization can be analytically compared. Representative numerical results are used to illustrate the main points.

The authors suggest using an alternative teaching methodology to impart knowledge regarding information systems phraseology and vocabulary. Specifically, a series of crossword puzzles or scrabbles are used to present information system (IS) terminology to students in an introductory business information systems course. The puzzle terms and answers are selected from a computer concepts textbook used by all students. The terms or phrases used are representative of those the students will need in later IS courses and IS related careers. Reported classroom results are given using statistical testing and qualitative feedback indicating that the exercises were both well received and effective as a conduit for learning. (Contains 2 tables.)

Control Systems classes cover many new topics and concepts. By the time instructors begin to teach design of controllers, students have already learned some analysis and synthesis tools such as Root Locus, Routh-Hurwitz criteria for stability, Bode plot and its relation to stability, and Nyquist plot and its stability criterion. The problem is that at this point in time, these topics can still be fragmented and partially disconnected in students’ minds. Oftentimes, the relations between the topics are not fully clear. When it comes to design of feedback control systems, we have repeatedly found out that, despite continuous attempts to improve our teaching, there were still some problems in students’ understanding. These include: •Connecting the concept of a controller to real-life, and to sensing-based daily examples •Understanding the true meaning of controller design and its implementation •“Translating” the plant model and the design specifications to different control tools, and inter-relating them In this paper, we report on work in progress of an intuitive and visual approach to teaching design of controllers in a closed loop control system using a specific comprehensive third order system. For example, all explanations use different colors consistently to show stability (green), instability (red), and marginally stable (orange) systems on related plots. This paper presents several topics, such as clarifying the meaning and importance of controllers, through daily, story-telling-based examples. It uses a comprehensive approach for analyzing and understanding a plant (to be controlled) in open loop, the controller, and the final design. For example, multiple synthesis tools are used to analyze the plant’s open loop gain and show its effect on closed loop marginal stability; this shows the effect of the open loop gain on the Bode Plot (shift in gain expressed in dB), the Nyquist Plot (shrinking and expanding effect of the plot), the Root Locus plot (new locations of closed loop poles), and the first column of Routh Table. In addition, this paper shows the effects of different controllers (P, I, D, PD, PI, and PID) and their relations to the desired performance. We intentionally show unsuccessful designs: this helps in explaining some pros and cons of different controllers. This is followed by a successful design of a controller. Lastly, we present multiple ways to observe and analyze the effect of the final controller design using multiple design tools, as well as MATLAB simulations. This also includes discussing design “rules of thumb” and how they are manifested in each tool. It should be noted that the material presented in this paper is not meant to replace existing textbooks chapters. It is merely an add-on to better explain, learn, and comprehend the topic of design, and see the bigger picture. This is work in progress. However, we have tested the approach a few times and received a very positive feedback from students. A more comprehensive assessment approach is planned for the near future.