Circadian clocks must be able to entrain to time-varying signals to keep their oscillations in phase with the day-night rhythm. On the other hand, they must also exhibit input compensation: their period must remain approximately one day in different constant environments. The posttranslational oscillator of the Kai system can be entrained by transient or oscillatory changes in the ATP fraction, yet is insensitive to constant changes in this fraction. We study in three different models of this system how these two seemingly conflicting criteria are met. We find that one of these (our recently published Paijmans model) exhibits the best tradeoff between input compensation and entrainability: on the footing of equal phase-response curves, it exhibits the strongest input compensation. Performing stochastic simulations at the level of individual hexamers allows us to identify a new, to our knowledge, mechanism, which is employed by the Paijmans model to achieve input compensation: at lower ATP fraction, the individual hexamers make a shorter cycle in the phosphorylation state space, which compensates for the slower pace at which they traverse the cycle.
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http://dx.doi.org/10.1016/j.bpj.2017.05.048 | DOI Listing |
Alzheimers Dement
December 2024
Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Preclinical Alzheimer's disease (AD) trials can involve multiple years of follow-up and burdensome procedures for older individuals. Optimizing the design and conduct of these trials requires input from participants and their families. Since 2020, the Alzheimer's Clinical Trials Consortium (ACTC) Research Participant Advisory Board has provided input on study attributes including: participant and study partner compensation, consent language, and result communication tools.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
Permanent magnet synchronous motors (PMSMs) are widely used in a variety of fields such as aviation, aerospace, marine, and industry due to their high angular position accuracy, energy conversion efficiency, and fast response. However, driving errors caused by the non-ideal characteristics of the driver negatively affect motor control accuracy. Compensating for the errors arising from the non-ideal characteristics of the driver demonstrates substantial practical value in enhancing control accuracy, improving dynamic performance, minimizing vibration and noise, optimizing energy efficiency, and bolstering system robustness.
View Article and Find Full Text PDFPLoS One
January 2025
Cnooc Information Technology Co., Ltd., Shenzhen, Guangdong, China.
A data transmission delay compensation algorithm for an interactive communication network of an offshore oil field operation scene in severe weather is proposed. To solve the problem of unstable microwave signals and a large amount of noise in the communication network caused by bad weather, the communication network signal denoising method based on Lagrange multiplier symplectic singular value mode decomposition is adopted, and the communication network data denoising process is realized through five steps; phase space reconstruction, symplectic geometric similarity transformation, grouping, diagonal averaging, and adaptive reconstruction. Simultaneously, the weak communication signal is compensated after being captured, that is, the characteristics of the weak signal are enhanced.
View Article and Find Full Text PDFMed Phys
January 2025
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
View Article and Find Full Text PDFTrop Anim Health Prod
January 2025
Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, Onderstepoort, University of Pretoria, Pretoria, South Africa.
Bovine brucellosis and bovine tuberculosis are zoonotic diseases with economic and public health importance across the world, especially in developing countries where the diseases are endemic. The diseases are classified as neglected diseases in developing nations with poor resources despite good control measures in some developed countries. The purpose of this study is to assess the knowledge, attitudes and perceptions (KAP) of stakeholders towards control measures for bovine brucellosis (BR) and bovine tuberculosis (bTB) at a livestock-wildlife interface.
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