Box plots to show various parameters of GI motility determined from AB larvae at 7 dpf that were fed a standard diet (SD). by Jessica C. M. Hui (20370522)

Overall comparison of <i>Anaplasma</i> spp. and <i>A. ovis</i> prevalence among the goats enrolled from three districts in Punjab during the present study. % prevalence is given in... by Sumaira Sumaira (21453523)

Proportional contribution (median [Mdn], standard deviation [SD], and 95% credible intervals [CI]) of prey groups to the diet of piscivorous fishes in <i>A</i>. <i>gigas</i> coloni... by Danny Rejas (583637)

(a) The diameter distribution of magnetic nanoparticles and (b) the magnetization curve of the ferrofluid. by Amirhossein Favakeh (21417884)

Schematic of the experimental setup for the generation of ferrofluid droplets using a magnet. by Amirhossein Favakeh (21417884)

Comparative analysis of biofilm formation and morphology in <i>A. baumannii.</i> by Techit Thavorasak (13138440)

Example of sample data. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Structure of BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

S1 Data - by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Initial RBC dominant clot compaction in the <i>in vitro</i> MCA model without and with collateral with alteplase applied at clinically relevant concentration (1.3 mg L^-1... by Sandra Thalerová (11434762)

Location of (A) South Sudan and (B) study counties (Maridi, Mundri East, Mundri West, Mvolo and Wulu). by Luís-Jorge Amaral (16406704)

The enzyme activity of GCN2 in <i>H. armigera.</i> by Caihong Zhang (1633294)

Water level changes in the foresight scenarios. by Zihao Duan (17403792)

“…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”

Water level changes in the Caspian Sea. by Zihao Duan (17403792)

“…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”

Methods used to extract shoreline changes. by Zihao Duan (17403792)

“…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”

Morlet wavelet power spectrum of the sea level. by Zihao Duan (17403792)

“…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”

Coastal area changes during the period 1985–2023. by Zihao Duan (17403792)

“…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”

Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”