ABSTRACT
Clinical importance: Novel coronavirus disease is spread worldwide with considerable morbidity and mortality and presents an enormous burden on worldwide public health. Due to the non-stationarity and complicated nature of novel coronavirus waves, it is challenging to model such a phenomenon. Few mathematical models can be used because novel coronavirus data are generally not normally distributed. This paper describes a novel bio-system reliability approach, particularly suitable for multi-regional environmental and health systems, observed over a sufficient period of time, resulting in a reliable long-term forecast of novel coronavirus infection rate. Traditional statistical methods dealing with temporal observations of multi-regional processes do not have the advantage of dealing efficiently with extensive regional dimensionality and cross-correlation between infection rate and mortality. Objective: To determine extreme novel coronavirus death rate probability at any time in any region of interest. Traditional statistical methods dealing with temporal observations of multi-regional processes do not have the advantage of dealing efficiently with extensive regional dimensionality and cross-correlation between different regional observations. Design: Apply modern novel statistical methods directly to raw clinical data. Setting: Multicenter, population-based, medical survey data based bio statistical approach. Main outcome and measure: Due to the non-stationarity and complicated nature of novel coronavirus, it is challenging to model such a phenomenon. Few mathematical models can be used because novel coronavirus data are generally not normally distributed. This paper describes a novel bio-system reliability approach, particularly suitable for multi-country environmental and health systems, observed over a sufficient period of time, resulting in a reliable long-term forecast of extreme novel coronavirus death rate probability. Conclusions and relevance: The suggested methodology can be used in various public health applications, based on their clinical survey data. © 2023, Indian National Science Academy.
ABSTRACT
One of the main motivations for our research was to find a connection between the Brownian motion of microorganisms within fractal nature, with the idea of developing an appropriate procedure and method to control the microorganism's motion direction and predict the position of the microorganism in time. In this paper, we have followed the results of the very rear microorganism's motion sub-microstructures in the experimental microstructure analysisFractals already observed and published. All of these data have been good basis to describe the motion trajectory by time interval method and fractals. We successfully defined the diagrams in two and three-dimensions and we were able to establish the control of Brownian chaotic motion as a bridge between chaotic disorders to control disorder. This significant study opens a new possibility for future investigation and the new potential of total control of the microorganism motion. These perspectives and findings provide significant data for getting more information from these bio systems. They can also be applied, based on self-similarities and biomimetics, to particle physical systemMatterFractalss and matter, generally. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This paper is an evidence-based practice complete work that details positive and negative elements resulting from the sudden transition to emergency remote instruction and learning for a biosystems engineering capstone course, as well as defines how these experiences have shaped the decision making for the upcoming offering. Due to the COVID-19 pandemic, the overnight transition from an in-person capstone course to a fully remote capstone course in March 2020 required instructors to think creatively about the capstone experience and how the core learning objectives could be met in the presence of a new set of constraints. The continued restrictions and challenges associated with in-person meetings for Fall 2020 continued to shape decision making around course design and structure. This paper addresses some of the lessons the instructors learned during the last weeks of the Spring 2020 semester, and how they are shaping the capstone experience going forward. Reflecting on the last few weeks of the Spring 2020 semester, the instructors recognized several positive elements that emerged from the course. Students were very patient and flexible with the transition to remote instruction. Instructors were still able to provide meaningful and productive interactions with the whole group, smaller teams, and individual students using virtual meeting platforms like Zoom. Certain assignments were quickly redesigned for the new virtual platforms being used. Everyone involved learned and practiced new skillsets to continue working collaboratively in a virtual environment, and the class was more effective at including external stakeholders in the process. However, several challenges also became apparent. The loose structure of the course, hasty adjustment of the project scope to accommodate remote work, and loss of access to information and resources had a significant impact on the students' experiences. Final project outcomes were limited by circumstances, since the second semester is focused on fabrication and test. For some students, the experience and expectations for the more hands-on part of the project were particularly impacted. Added challenges associated with grieving the loss of a final semester, graduation ceremonies, and uncertain career prospects, and dealing with the uncertainty of the unknown added to the stress and anxiety felt by all involved. Modifications implemented starting with the Fall 2020 capstone courses address some of the challenges experienced during the Spring 2020 semester, including adding more structure and organization to course content and communications, introducing cloud-based software programs, in particular looking at specific new CAD software, to support remote collaborations, and providing more intentional guidance for keeping students on track and organized during the design process. The possibility of returning to remote instruction mid-semester also influenced projects proposed by capstone partners. © American Society for Engineering Education, 2021