Map of the study area. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Research framework. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Perception type distribution and typical images. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Sub-linear scaling using <i>L</i> = 8. by Simone Rubinacci (9647929)

“…The number of selected states decreases by increasing the size of the reference panel, showing sub-linear scaling. …”

An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression by Aaron J. Molstad (5243561)

“…<p>We develop a new method to fit the multivariate response linear regression model that exploits a parametric link between the regression coefficient matrix and the error covariance matrix. …”

Exhaustive search of linear information encoding protein-peptide recognition by Abdellali Kelil (79391)

“…Here, we describe a strategy, called DALEL, for the exhaustive search of linear sequence information encoded in proteins that bind to a common partner. …”

Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘... by Long Di (9977453)

Boxplot of the acoustic parameters of <i>Physalaemus cicada</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise clas... by Rogério Ferreira de Oliveira (11133750)

Non-linear mixed models in the study of growth of naturalized chickens by Vicente Ibiapina Neto (10446265)

“…The asymptotic weight (A), integration constant, related to animal initial weight (B), and the maturing rate (k) parameters of the non-linear Gompertz, Logistic, and von Bertalanffy models were estimated and adjusted using the Gauss-Newton method. …”

Generalized linear mixed-effects model (GLMM) results for adult female northern fur seal estimated behavioral state. by Noel A. Pelland (550209)

ClOO• determination using TMB (a, b) and DPPH (c,d) method. by Hiroyuki Kawata (4002656)

Insufficient disulfide bond formation results in a decrease in alkaline phosphatase activity and accumulation of the reduced form of DegP in LCFA-utilizing cells. by Kanchan Jaswal (9542107)

“…<i>Inset</i>: The above growth curves were also plotted on a linear scale. <i>(B) Oleate utilization results in a decrease in alkaline phosphatase activity</i>. …”

Linear relationship between ontogeny (using skull length as a proxy) and the averaged degree of sutural closure in <i>A</i>. <i>mississippiensis</i> (n = 46). by Alida M. Bailleul (167500)

Linear discriminant analysis effect size (LEfSe) of gut microbiota in sand flies and <i>Culex nigripalpus</i> de Colombia. by Rafael J. Vivero-Gomez (11859151)

Table_1_Associations between maternal urinary kisspeptin in late pregnancy and decreased fetal growth: a pregnancy-birth cohort study.docx by Jiaxian Chen (9466099)

Peak stress decreases following a ramp-stretch as the time of stretch (post-load clamp) increases, consistent with the twitch relaxation throughout diastole. by Bertrand C. W. Tanner (18098420)

“…B) An example of peak stress decreasing from multiple time points as time-to-stretch increased; same trabecula as in panel A. …”

Demographic characteristics of participants. by Hai Minh Vu (17509346)

“…Participants with rheumatoid arthritis (β =  − 0.10; 95% CI =  − 0.13, − 0.07) and postural hypotension (β =  − 0.08; 95% CI =  − 0.14, − 0.02) experienced the greatest decrease in EQ-5D index, followed by those with urinary diseases (β =  − 0.05; 95% CI =  − 0.09, − 0.02) and stroke (β =  − 0.05; 95% CI =  − 0.09, − 0.01). …”

Comorbidities patterns among participants. by Hai Minh Vu (17509346)

“…Participants with rheumatoid arthritis (β =  − 0.10; 95% CI =  − 0.13, − 0.07) and postural hypotension (β =  − 0.08; 95% CI =  − 0.14, − 0.02) experienced the greatest decrease in EQ-5D index, followed by those with urinary diseases (β =  − 0.05; 95% CI =  − 0.09, − 0.02) and stroke (β =  − 0.05; 95% CI =  − 0.09, − 0.01). …”

Synergistic N/Mn Codoping Deagglomerate Carbon Coating of LiFePO₄/C To Boost Electrochemical Performance by Yu-Wei Wang (1749115)

“…To overcome this obstacle, applying a layer of conductive carbon onto the surface of LiFePO₄ has the greatest improvement in electronic conductivity and Li⁺ diffusivity. …”

EQ-5D-5L index by different chronic conditions. by Hai Minh Vu (17509346)

“…Participants with rheumatoid arthritis (β =  − 0.10; 95% CI =  − 0.13, − 0.07) and postural hypotension (β =  − 0.08; 95% CI =  − 0.14, − 0.02) experienced the greatest decrease in EQ-5D index, followed by those with urinary diseases (β =  − 0.05; 95% CI =  − 0.09, − 0.02) and stroke (β =  − 0.05; 95% CI =  − 0.09, − 0.01). …”