Results 31 to 40 of about 6,141,379 (239)
Methane production and colon cancer
The cause of the high incidence of methane producers in patients with colorectal cancer is not clear. A total of 270 individuals were studied for methane production, using an end-expiratory breath sampling technique. They were divided into eight groups: 156 healthy controls (group 1); 47 patients with colorectal cancer (group 2); 36 patients (34 of ...
J M, Piqué +4 more
openaire +2 more sources
Lithology identification of shale gas reservoirs using multi-source intelligent learning algorithms
Lithology classification of shale gas reservoirs is pivotal for oil and gas exploration and development, as it directly dictates the reliability of reservoir evaluation, fracturing design, and productivity prediction.
Ming Chen +5 more
doaj +1 more source
In this study, we conducted indoor temporary plugging and diverting fracturing (TPDF) experiments on samples of natural deep and shallow coal seams using a small-scale true triaxial fracturing simulation system.
Sun Zening +10 more
doaj +1 more source
Microwave Pretreatments of Switchgrass Leaf and Stem Fractions to Increase Methane Production
The objective of this study was to determine the effectiveness of microwave pretreatments on methane production from two switchgrass tissues (leaf vs. stem).
Chunhui Wu +4 more
doaj +1 more source
Chitin‐Derived Carbon‐Metal Functional Materials
Functional carbon materials are synthesized from combination of biopolymer (chitin) and iron precursors. The resultant material exhibits superior surface area and adsorptive properties compared to carbon materials synthesized directly from pure chitin.
Herry Fang +7 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Research on Digital Core Reconstruction of Tight Sandstone Based on Deep Learning
Three-dimensional digital core reconstruction methods based on deep learning have emerged as a promising approach to address the limitations of traditional physics experiment-based and numerical computation-based methods.
Hongquan Ji +7 more
doaj +1 more source
Eight different grasses collected from pastures of the Kermanshah province (Kermanshah, Iran), at mid-vegetative stage were used to study the relationships between their chemical compositions, kinetic parameters of in vitro gas production and rumen ...
Mahya Kulivand, Farokh Kafilzadeh
doaj +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Gas content is an important parameter for calculating coalbed methane (CBM) reserves and guiding their exploration and development. For deep coal seams, the prolonged coring duration and inaccuracies in lost gas volume calculations result in reduced ...
Jian WU +5 more
doaj +1 more source

