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Predicting changes in agricultural yields under climate change scenarios and their implications for global food security.
Sci Rep
January 2025
School of BioSciences, Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Melbourne, 3010, Australia.
Climate change has direct impacts on current and future agricultural productivity. Statistical meta-analysis models can be used to generate expectations of crop yield responses to climatic factors by pooling data from controlled experiments. However, methodological challenges in performing these meta-analyses, together with combined uncertainty from various sources, make it difficult to validate model results.
View Article and Find Full Text PDFEvaluation of unitary conductance of gap junction channels based on stationary fluctuation analysis.
Methods
January 2025
Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas 50103, Lithuania; Department of Mathematical Modelling, Kaunas University of Technology, Kaunas 51368, Lithuania.
Gap junction (GJ) channels, formed of connexin (Cx) protein, enable direct intercellular communication in most vertebrate tissues. One of the key biophysical characteristics of these channels is their unitary conductance, which can be affected by mutations in Cx genes and various biochemical factors, such as posttranslational modifications. Due to the unique intercellular configuration of GJ channels, recording single-channel currents is challenging, and precise data on unitary conductances of some Cx isoforms remain limited.
View Article and Find Full Text PDFThe rotation method for correcting renal depth in the determination of glomerular filtration rate using Tc-99m diethylenetriamine pentaacetic acid (DTPA)-based renal dynamic imaging in patients with hydronephrosis.
Quant Imaging Med Surg
January 2025
Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
Background: Kidney depth significantly affects the accuracy of glomerular filtration rate (GFR) measurement, and hydronephrosis-induced morphological changes further challenge its estimation through traditional formulas. This study evaluated the rotation method's efficacy in correcting kidney depth and depth difference during Tc-99m diethylenetriamine pentaacetic acid (DTPA) renal dynamic imaging for GFR assessment.
Methods: This study analyzed 66 individuals treated at First Hospital of Shanxi Medical University with unilateral hydronephrosis between January 2022 and June 2023.
Quantitative accuracy of preclinical in ovo PET/MRI: influence of attenuation and quantification methods.
EJNMMI Phys
January 2025
QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Aim: The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) provides an innovation leap in the use of fertilized chicken eggs (in ovo model) in preclinical imaging as PET/MRI enables the investigation of the chick embryonal organ-specific distribution of PET-tracers. However, hybrid PET/MRI inheres technical challenges in quantitative in ovo PET such as attenuation correction (AC) for the object as well as for additional hardware parts present in the PET field-of-view, which potentially contribute to quantification biases in the PET images if not accounted for. This study aimed to investigate the influence of the different sources of attenuation on in ovo PET/MRI and assess the accuracy of MR-based AC for in ovo experiments.
View Article and Find Full Text PDFParameter Estimation Procedures for Exponential-family Random Graph Models on Count-valued Networks: A Comparative Simulation Study.
Soc Networks
January 2024
Departments of Sociology, Statistics, Computer Science, and EECS, University of California, Irvine, CA, United States.
The exponential-family random graph models (ERGMs) have emerged as an important framework for modeling social networks for a wide variety of relational types. ERGMs for valued networks are less well-developed than their unvalued counterparts, and pose particular computational challenges. Network data with edge values on the non-negative integers (count-valued networks) is an important such case, with examples ranging from the magnitude of migration and trade flows between places to the frequency of interactions and encounters between individuals.
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