Results 261 to 270 of about 58,299 (310)
Effects of arbuscular mycorrhizal fungi and earthworms on plant-soil systems of urban turf grasses. [PDF]
Hou Y, Zhang Z, Yuan Y, Zhu X, Ding J.
europepmc +1 more source
Two Curious Summation Formulae in the Monograph of Salahuddin Et Al
R. K. Khola Salahuddin
openalex +1 more source
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian +26 more
wiley +1 more source
X-ray diffraction from dislocation half-loops in epitaxial films. [PDF]
Kaganer VM.
europepmc +1 more source
SUMMATION FORMULAE FOR BASIC HYPERGEOMETRIC FUNCTIONS VIA FRACTIONAL q-CALCULUS
Sunıl Dutt Purohıt
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Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source
Modeling the potential energy surface by force fields for heterogeneous catalysis: classification, applications, and challenges. [PDF]
Qiu C, Brinck T, Wang J.
europepmc +1 more source
In macrophage‐myofibroblast transition, upregulated NNMT depletes S‐Adenosylmethionine (SAM) and nicotinamide adenine dinucleotide(NAD+), thereby triggering epigenetic reprogramming via Histone H3 Lysine 27 acetylation (H3K27ac) accumulation at the promoter region of master transcription factor Prrx1.
Xiwen Dong +11 more
wiley +1 more source
Presbyopia Correction in Lens Replacement Surgery: A Review. [PDF]
Stern B, Gatinel D.
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source

