Proportion of individuals’ general benefits scores that increased, decreased, or remained unchanged between time points. by Jessie B. Moore (12578140)

Intake and digestibility during two digestibility trials (1: 20–28 d; 2: 50–56 d) of dairy calves fed different additives in the starter feed (n = 15). by Luisa F. L. Salazar (6664121)

Decreased type I IFN response in B cells carrying the MS-protective class I alleles. by Christian Lundtoft (4068679)

Equilibrium points and their corresponding eigenvalues of Eq (5). by Xinghua Fan (7344632)

Kinematic analyses including finite helical axes of drop jump landings demonstrate decreased knee control long after anterior cruciate ligament injury - Fig 4 by Helena Grip (7610468)

Sampling point (Source: by Yonggang Huang (223155)

MBIC50 and MBEC50 values (µg/mL) of synthesized 1,2,3,5-tetrazine derivatives against bacteria pathogen strains. by Jean Paul Dzoyem (6424445)

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Increases and decreases in resources. by Guangliang Li (194029)

Co-contraction and the grasp force decreased with the block number. by Atsushi Takagi (3363320)

SARS-CoV-2 induced lung inflammation is increased with IL-10 blockade and decreased with IFNγ blockade. by Christine E. Nelson (18946410)

PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms by Xu Yan (110026)

“…In this paper, we propose a novel point clouds segmentation method, PointSite, for accurate identification of protein ligand binding atoms, which performs protein LBS identification at the atom-level in a protein-centric manner. …”

PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms by Xu Yan (110026)

“…In this paper, we propose a novel point clouds segmentation method, PointSite, for accurate identification of protein ligand binding atoms, which performs protein LBS identification at the atom-level in a protein-centric manner. …”

nanoDSF apparent melting points. by Aleksi Sutinen (10039145)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Comparison of the decrease of CFU in CSF and blood between treatment groups within the first 6 h after treatment. by Luca G. Valente (12463057)

Label-Free Quantitative Proteomic Analysis Reveals the Effects of Biogenic Silver Nanoparticles on Fusarium keratoplasticum and Their Therapeutic Potential in Galleria mellonella L... by Glaucia Rigotto-Caruso (22057974)

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Effect of atipamezole or efaroxan (1 mg·kg⁻¹) (Protocol 2). by Yoichiro Kitajima (4319455)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…<b>(e)</b> A tentative timeline of the neural processing of the audiovisual speech in -50 to 250 ms around the sound onset. …”

<i>Aspergillus flavus</i> mRNA expression (a) <i>aflD</i> and (c) <i>aflR</i> and phylogenetic analysis of (b) <i>aflD</i> and (d) <i>aflR</i> after exposure to 50 mg/mL of <i>U. e... by Martha Cebile Jobe (21175426)

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