Livestock is the main source of methane (CH) emissions. It is important to accurately determine emissions from ruminants that meet standardized international guidelines for national greenhouse gas inventories. A new method to improve the accuracy of CH emissions that complies with IPCC rules for a Tier 3 method is described and evaluated. This method, developed by INRA (French Institute for Agricultural Research), was applied to the French inventory of CH emissions by ruminants and compared with the IPCC Tier 2 method. For enteric CH, depending on the animal category, the INRA CH emission estimates lay between 88% and 114% of IPCC's. The INRA/IPCC ratio for enteric emission was close to unity and did not differ between methods (P = 0.43) for adult cows (i.e. most cattle). In France, feedlot manure is stored in aerobic conditions, and so the INRA/IPCC fit for manure emission was poorer (P < 0.05). The INRA/IPCC fit for enteric CH was very close between methods to that for total CH (P = 0.39), enteric CH representing 93% of total emissions. The main improvement is the use of a robust equation (from numerous data and diets), based on digestible organic matter intake (DOMI) corrected for the digestive interactions, to predict CH consistently from enteric and manure sources. It was developed for the French livestock inventory but is customizable for other countries. This new improved CH estimation method, based on equations from a large literature database, complies with IPCC rules for a Tier 3 method.
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http://dx.doi.org/10.1016/j.jenvman.2018.10.086 | DOI Listing |
Environ Pollut
January 2025
Testing Center for Oil and Gas LEMIGAS, Ministry of Energy and Mineral Resources, Jakarta Selatan 12230 Indonesia.
Indonesia currently calculates CO emissions from gas fuels using Tier 1 emission factors adopted from the Intergovernmental Panel on Climate Change (IPCC). However, this method may not accurately capture the country's specific emission characteristics. To address this, this study aims to derive country-specific CO emission factors for gas fuels, including liquefied petroleum gas (LPG), liquefied gas for vehicles (LGV), natural gas (NG), and liquefied natural gas (LNG), by analyzing fuel samples collected nationwide.
View Article and Find Full Text PDFJ Pain Res
January 2025
Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Purpose: To develop a training program on cancer pain management for pharmacists and to evaluate the effectiveness of the training.
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J Immunol Methods
January 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America. Electronic address:
Complement functional assays are essential first-tier tests for a gamut of disorders spanning from inborn errors of the immune system which lead to recurrent severe infections, to angioedema attacks, presentation of autoimmune disease, thrombotic microangiopathies and rare kidney disorders. These assays evaluate the activity of the three complement pathways and specific complement components, which helps in differential diagnosis and monitoring disease progression. The rising use of complement inhibitors for treating complement-mediated thrombotic microangiopathies has heightened the demand for personalized treatment plans and laboratory assessment of complement blockage.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Dmitry Rogachev National Medical Center of Pediatric Hematology, Oncology and Immunology, 117198 Moscow, Russia.
The advent of next-generation sequencing (NGS) has revolutionized the analysis of genetic data, enabling rapid identification of pathogenic variants in patients with inborn errors of immunity (IEI). Sometimes, the use of NGS-based technologies is associated with challenges in the evaluation of the clinical significance of novel genetic variants. In silico prediction tools, such as SpliceAI neural network, are often used as a first-tier approach for the primary examination of genetic variants of uncertain clinical significance.
View Article and Find Full Text PDFBiomedicines
January 2025
Clinical Research Center, Jiangnan University Medical Center, 68 Zhongshan Road, Wuxi 214002, China.
Acute myeloid leukemia (AML) is an aggressive cancer with variable treatment responses. While clinical factors such as age and genetic mutations contribute to prognosis, recent studies suggest that CT attenuation scores may also predict treatment outcomes. This study aims to develop a nomogram combining clinical and CT-based factors to predict treatment response and guide personalized therapy for AML patients.
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