This paper presents the results of several studies concerning the effect of temperature on digital cameras. Experiments were performed using three different camera models. The presented results conclusively demonstrate that the typical camera design does not adequately take into account the effect of temperature variation on the device's performance. In this regard, a modified camera design is proposed that exhibits a highly predictable behavior under varying ambient temperature and facilitates thermal compensation. A novel temperature compensation method is also proposed. This compensation model can be applied in almost every existing camera application, as it is compatible with every camera calibration model. A two-dimensional (2D) and three-dimensional (3D) application of the proposed compensation model is also described. The results of the application of the proposed compensation approach are presented herein.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263942 | PMC |
http://dx.doi.org/10.3390/s18113685 | DOI Listing |
Med 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 PDFEnviron Sci Pollut Res Int
January 2025
College of Science, Inner Mongolia University of Technology, Hohhot, 015000, China.
Climate change, driven by carbon emissions, has emerged as a pressing global ecological and environmental challenge. Here, we leverage the panel data of five provinces and above prefecture-level cities in the middle and lower reaches of the Yellow River Basin to estimate the agricultural carbon emissions (CEs), carbon sinks (CSs), carbon compensation rate (CCR), and carbon compensation potential (CCP) from 2001 to 2022 and investigate the spatiotemporal evolution characteristics for this region. We propose an improved GLM-stacking ensemble learning method for CE prediction with limited sample data.
View Article and Find Full Text PDFAm J Sports Med
January 2025
Orthopaedic Surgery, Weill Medical College of Cornell University, New York, New York, USA.
Background: Microfragmented adipose tissue has been proposed for intra-articular treatment of knee osteoarthritis. There are little data comparing the outcomes of treatment between microfragmented adipose tissue and other biological treatments.
Purpose: To perform a systematic review and meta-analysis comparing microfragmented aspirated fat injections to other orthobiologics, hyaluronic acid, and corticosteroid injections for symptomatic knee osteoarthritis.
Sci Rep
January 2025
School of Mechanical Engineering, Shiraz University, Shiraz, Fars, 7193616548, Iran.
This paper presents a novel adaptive fault-tolerant control (AFTC) framework for systems with piezoelectric sensor patches, specifically targeting sensor faults and external disturbances. The proposed method ensures robust control of cantilever thick plates by integrating adaptive estimation to simultaneously handle sensor faults and system uncertainties, maintaining stability despite issues like drift, bias, loss of accuracy, and effectiveness. Unlike traditional approaches that address sensor faults individually, our method provides a comprehensive solution backed by Lyapunov-based stability analysis, demonstrating uniform ultimate boundedness under various fault conditions.
View Article and Find Full Text PDFNat Commun
January 2025
Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Long noncoding RNAs known as roX (RNA on the X) are crucial for male development in Drosophila, as their loss leads to male lethality from the late larval stages. While roX RNAs are recognized for their role in sex-chromosome dosage compensation, ensuring balanced expression of X-linked genes in both sexes, their potential influence on autosomal gene regulation remains unexplored. Here, using an integrative multi-omics approach, we show that roX RNAs not only govern the X chromosome but also target genes on autosomes that lack male-specific lethal (MSL) complex occupancy, together with Polycomb repressive complexes (PRCs).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!