Results 231 to 240 of about 525,453 (332)

Development and Validation of Predictive Machine Learning Models for Postoperative Recurrence and Microvascular Invasion in Hepatocellular Carcinoma Using Nuclear Magnetic Resonance Metabolomics. [PDF]

J Hepatocell Carcinoma
Tan H, Xu Y, Liu W, Wen Y, Zhang C, Wang C, Chi L, Liao H, Fu S, Cai L, Guo H, Pan M.   +11 more
europepmc   +1 more source

¹H, ¹³C and ¹⁵N resonance assignments of the N-terminal intrinsically disordered region and WGR domain of human PARP2. [PDF]

Biomol NMR Assign
Virk RK, Kim TH.
europepmc   +1 more source

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Application of nuclear magnetic resonance (NMR) in coalbed methane and shale reservoirs: A review

International Journal of Coal Geology, 2020
Nuclear magnetic resonance (NMR) has been applied widely and successfully in conventional and unconventional reservoirs, and can be used to investigate petrophysical properties and fluid flow characteristics.
Zhengshuai Liu, Dameng Liu, Yidong Cai, Yanbin Yao, Z. Pan, Yingfang Zhou   +5 more
semanticscholar   +3 more sources

Nuclear Magnetic Resonance (NMR)

2015
Abstract Nuclear magnetic resonance (NMR) describes the response of nuclei to an applied magnetic field. The NMR responses from downhole logs (e.g. amplitude, decay time) are analysed to determine lithology-independent estimates of porosity, saturations and pore system characteristics. This chapter describes the NMR measurements on core that are used
Colin McPhee, Jules Reed, Izaskun Zubizarreta   +2 more
semanticscholar   +3 more sources

Nuclear Magnetic Resonance (NMR)-Based Metabolomics

Methods in molecular biology, 2010
Biofluids are by far the most commonly studied sample type in metabolic profiling studies, encompassing blood, urine, cerebrospinal fluid, cell culture media and many others. A number of these fluids can be obtained at a high sampling frequency with minimal invasion, permitting detailed characterisation of dynamic metabolic events.
Hector C, Keun, Toby J, Athersuch
openaire   +3 more sources

Petrophysical characterization of coals by low-field nuclear magnetic resonance (NMR)

Fuel, 2010
Yanbin Yao, Dameng Liu, Yao Che, D. Tang, Shuheng Tang, Wenhui Huang   +5 more
semanticscholar   +3 more sources

Diverse food-based applications of nuclear magnetic resonance (NMR) technology

Food Research International, 2013
M. Marcone, Sunan Wang, William Albabish, Shaoping Nie, Dinesh Somnarain, A. Hill   +5 more
semanticscholar   +3 more sources

1D and 2D Nuclear magnetic resonance (NMR) relaxation behaviors of protons in clay, kerogen and oil-bearing shale rocks

, 2020
Few 1D T2 and 2D T1-T2 Nuclear magnetic resonance (NMR) studies have focused on oil-bearing shales with complex constituents and a deeper understanding of the NMR relaxation behaviors of oil confined in shale is needed.
Pengfei Zhang, Shuangfang Lu, Junqian Li, Xiangchun Chang   +3 more
semanticscholar   +1 more source