The COVID-19 Pandemic Affects Seasonality, With Increasing Cases of New-Onset Type 1 Diabetes in Children, From the Worldwide SWEET Registry

Objective: To analyze whether the coronavirus disease 2019 (COVID-19) pandemic increased the number of cases or impacted seasonality of new-onset type 1 diabetes (T1D) in large pediatric diabetes centers globally. Research design and methods: We analyzed data on 17,280 cases of T1D diagnosed during 2018-2021 from 92 worldwide centers participating in the SWEET registry using hierarchic linear regression models. Results: The average number of new-onset T1D cases per center adjusted for the total number of patients treated at the center per year and stratified by age-groups increased from 11.2 (95% CI 10.1-12.2) in 2018 to 21.7 (20.6-22.8) in 2021 for the youngest age-group, <6 years; from 13.1 (12.2-14.0) in 2018 to 26.7 (25.7-27.7) in 2021 for children ages 6 to <12 years; and from 12.2 (11.5-12.9) to 24.7 (24.0-25.5) for adolescents ages 12-18 years (all P < 0.001). These increases remained within the expected increase with the 95% CI of the regression line. However, in Europe and North America following the lockdown early in 2020, the typical seasonality of more cases during winter season was delayed, with a peak during the summer and autumn months. While the seasonal pattern in Europe returned to prepandemic times in 2021, this was not the case in North America. Compared with 2018-2019 (HbA1c 7.7%), higher average HbA1c levels (2020, 8.1%; 2021, 8.6%; P < 0.001) were present within the first year of T1D during the pandemic. Conclusions: The slope of the rise in pediatric new-onset T1D in SWEET centers remained unchanged during the COVID-19 pandemic, but a change in the seasonality at onset became apparent.info:eu-repo/semantics/publishedVersio

InMotion hybrid racecar : F1 performance with LeMans endurance

Purpose : – The purpose of this paper is to demonstrate that using advanced powertrain technologies can help outperform the state of the art in F1 and LeMans motor racing. By a careful choice and sizing of powertrain components coupled with an optimal energy management strategy, the conflicting requirements of high-performance and high-energy savings can be achieved. Design/methodology/approach : – Five main steps were performed. First, definition of requirements: basic performance requirements were defined based on research on the capabilities of Formula 1 race cars. Second, drive cycle generation: a drive cycle was created using these performance requirements as well as other necessary inputs such as the track layout of Circuit de la Sarthe, the drag coefficient, the tire specifications, and the mass of the vehicle. Third, selection of technology: the drive cycle was used to model the power requirements from the powertrain components of the series-hybrid topology. Fourth, lap time sensitivity analysis: the impact of certain design decisions on lap time was determined by the lap time sensitivity analysis. Fifth, modeling and optimization: the design involved building the optimal energy management strategy and comparing the performance of different powertrain component sizings. Findings : – Five different powertrain configurations were presented, and several tradeoffs between lap time and different parameters were discussed. The results showed that the fastest achievable lap time using the proposed configurations was 3¿min 9¿s. It was concluded that several car and component parameters have to be improved to decrease this lap time to the required 2¿min 45¿s, which is required to outperform F1 on LeMans. Originality/value : – This research shows the capabilities of advanced hybrid powertrain components and energy management strategies in motorsports, both in terms of performance and energy savings. The important factors affecting the performance of such a hybrid race car have been highlighted

InMotion hybrid racecar: F1 performance with LeMans endurance

This paper presents the design of a hybrid electric powertrain for the InMotion IM01 race car. InMotion is a multidisciplinary project group of experienced master students, PhD students, and professors. The authors of this paper were involved in the project to develop a suitable powertrain architecture for use in the IM01 series hybrid race car. The most important requirements were to achieve a lap time of below 2 min 45 s on the Circuit de la Sarthe, and to have a durability, efficiency, cornering speed, and acceleration that exceeds Formula 1 race cars. Data provided from InMotion included design restrictions, a simplified drive cycle, and technical data of some components. This data was analyzed and the required powertrain component sizes were determined. A detailed drive cycle calculation and sensitivity analysis were introduced to find the variables that significantly influence the lap time. The powertrain was modeled using the backwards modeling approach. Finally, five different powertrain configurations were presented, and several tradeoffs between lap time and different parameters were discussed. The results showed that the fastest achievable lap time using the proposed configurations was 3 min 9 s. It was concluded that several car and component parameters have to be improved to decrease this lap time to the required 2 min 45 s. Recommendations for future work to achieve this were addressed

InMotion: Hybrid race car, beating F1 at LeMans

This paper presents the design of a hybrid electric powertrain for the InMotion IM01 race car. InMotion is a multidisciplinary project group of experienced master students, PhD students, and professors from Eindhoven University of Technology (TU/e). The authors of this paper were involved in the project to develop a suitable powertrain architecture for use in the IM01 series hybrid race car. The most important requirements were to achieve a lap time of below 2 min 45 s on the Circuit de la Sarthe, and to have a durability, efficiency, cornering speed, and acceleration that exceeds Formula 1 race cars. Data provided from InMotion included design restrictions, a simplified drive cycle, and technical data of some components. This data was analyzed and the required powertrain component sizes were determined. A detailed drive cycle calculation and sensitivity analysis were introduced to find the variables that significantly influence the lap time. The powertrain was modeled using the backwards approach and an energy management strategy was designed with the objective of minimizing fuel consumption. Finally, five different powertrain configurations were presented, and several tradeoffs between lap time and different parameters were discussed. The results showed that the fastest achievable lap time using the proposed configurations was 3 min 9 s. It was concluded that several car and component parameters have to be improved to decrease this lap time to the required 2 min 45 s. Recommendations for future work to achieve this were addressed