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Natural gas production in the U.S. has increased rapidly over the past decade, along with concerns about methane (CH) leakage (total fugitive emissions), and climate impacts. Quantification of CH emissions from oil and natural gas (O&NG) operations is important for establishing scientifically sound, cost-effective policies for mitigating greenhouse gases. We use aircraft measurements and a mass balance approach for three flight experiments in August and September 2015 to estimate CH emissions from O&NG operations in the southwestern Marcellus Shale region. We estimate the mean ± 1 CH emission rate as 36.7 ± 1.9 kg CH s (or 1.16 ± 0.06 Tg CH yr) with 59% coming from O&NG operations. We estimate the mean ± 1 CH leak rate from O&NG operations as 3.9 ± 0.4% with a lower limit of 1.5% and an upper limit of 6.3%. This leak rate is broadly consistent with the results from several recent top-down studies but higher than the results from a few other observational studies as well as in the U.S. Environmental Protection Agency CH emission inventory. However, a substantial source of CH was found to contain little ethane (CH), possibly due to coalbed CH emitted either directly from coalmines or from wells drilled through coalbed layers. Although recent regulations requiring capture of gas from the completion venting step of the hydraulic fracturing appear to have reduced losses, our study suggests that for a 20 year time scale, energy derived from the combustion of natural gas extracted from this region will require further controls before it can exert a net climate benefit compared to coal.
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http://dx.doi.org/10.1002/2016JD026070 | DOI Listing |
Comput Biol Med
September 2025
Institute of Biotechnology, Department of Medical Biotechnology, SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, Tamil Nadu, India. Electronic address:
Small humanin-like peptide-6 (SHLP6), is derived from the mitochondrial genome. The 3D structure of SHLP6 was evaluated using PEPstr, with homology modeling predicting a Cyt-C structure with a DOPE score of -645.717 and a GA341 score of 0.
View Article and Find Full Text PDFComput Biol Med
September 2025
U.O.C. Ematologia e Terapia Cellulare, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Artificial intelligence is revolutionizing health care, particularly in precision medicine and noninvasive diagnostics. Anemia, which is a widespread condition that affects billions of people worldwide, compromises oxygen transport due to low hemoglobin levels, which leads to severe complications if left undetected. Early and frequent monitoring is essential, yet traditional blood tests can be invasive, costly, and impractical for continuous assessment.
View Article and Find Full Text PDFJ Electrocardiol
August 2025
Computational Physics Laboratory, Tampere University, P.O. Box 600, FI-33014 Tampere, Finland. Electronic address:
The QT interval is a key indicator in assessing arrhythmia risk, evaluating drug safety, and supporting clinical diagnosis in cardiology. The QT interval is significantly influenced by heart rate so it must be accurately corrected to ensure reliable clinical interpretation. Conventional correction formulas, such as Bazett's formula, are widely utilized but often criticized for inaccuracies, either under- or overcorrecting QT intervals in different physiological conditions.
View Article and Find Full Text PDFTalanta
September 2025
Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Assiut University, Assiut, 71526 Egypt. Electronic address:
Rutin is a potent antioxidant with therapeutic value in managing vascular and inflammatory conditions. Its accurate quantification is critical for pharmaceutical quality control and food safety. In this study, rutin was employed as a template to construct surface molecularly imprinted magnetic nanozymes (MIPs@FeO-CoNi).
View Article and Find Full Text PDFTalanta
September 2025
Glyn O. Phillips Hydrocolloid Research Centre, National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering of Ministry of Education, Key Laboratory of Industrial Microbiology in Hubei Province, School of Life and Health Sciences, Hubei Univer
Given rising consumer demands for meat safety and quality assurance, developing an intuitive, cost-effective, and user-friendly sensor platform for real-time monitoring of perishable meat freshness is important. Herein, this study developed an innovative chitosan/agarose/blueberry anthocyanin (CS/AG/BA) hydrogel label system for visual real-time freshness tracking of perishable proteins through smartphone-assisted colorimetric analysis. Through systematic optimization of CS/AG compositional ratios (3:7-7:3) and pH conditions (2.
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