S1 Data - by Sunday O. Ochai (12083153)

“…Anthrax cases in 1990 were concentrated in the central and northern regions of KNP(excluding Pafuri), primarily affected kudus; while subsequent mortalities affected mostly impala and were restricted to the far north, in Pafuri. Significant correlations were found between kudu anthrax mortality and a decrease in NDVI, average temperature, SPI-6 and SPI-12 (Standardised Precipitation Index in various time intervals. …”

Appendices. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Temporal change in average visitor vitality. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Data source. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Baidu heat map average. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Overview of the study area. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Single factor detection results. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Types of interaction between two factors. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Research frameworks. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Model index comparison. by Tingting Cui (564531)

“…The factors within the Park attributes (G1) and the park’s social media level (G4) showed a two-way interaction strength increase. (4)The coefficients of influence of impact factors on the space heterogeneity of vacation park vitality exhibit significant variation. The positive indicators have a spatial distribution that decreases from the northwest to the southeast, with the old city district having higher coefficients than the new city district. …”

Excel raw data. by Michael Getie (12400923)

“…The effectiveness of currently available antimicrobial is decreasing due to the increasing prevalence of resistant strains among bacterial isolates. …”

Classification of Anti-HlyE IgG Responses. by Jo Walker (22404069)

Descriptive Statistics. by Sayed Jubair Bin Hossain (22430672)

“…Moreover, conflict-induced migration substantially augmented the incidence of hunger (IRR = 1.262; 95% CI: 1.111–1.435) and going without eating for an entire day (IRR = 1.251; 95% CI: 1.032–1.516), though international migration to Yemen decreased food insecurity. Additionally, being female, having higher education, and belonging to wealthier households were protective factors against food insecurity, while urban residence significantly increased the likelihood of hunger (IRR = 2.231; 95% CI: 1.990–2.501) and meal skipping (IRR = 3.657; 95% CI: 3.086–4.335).…”

Inc exhibits key properties of a Cul3 adaptor in neurons in vivo. by Qiuling Li (390393)

Stepped wedge cluster randomized trial design. by Antonio Marty Quispe (12574259)

“…Analysis followed a stepped-wedge mixed-effects negative binomial model adjusting for clustering and time trends. …”

Influence intensity of Pressure(a), AOD(b), Lai(c), ET(d), Dew(e) on nitrogen dioxide concentration. by Feifei Cheng (8985345)

Model inputs. by Natalia Serpetti (5260715)

“…The spatial/temporal model successfully simulated the overall ongoing declining dynamics of the Black Sea ecosystem as the biomasses of the majority of the functional groups had significant observed decreasing trends during the simulation period. …”

Beta Diversity and Differential Abundance Analysis of Gut Microbiota after FVT. by Melany Cervantes-Echeverría (22794116)

Changes in relative abundance of genera in both therapeutic groups. by Flavia Furlaneto (20161022)

“…<p>Box plots represent the 3 genera that differed significantly between groups in terms of changes in abundance. …”

Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

“…I: The CV of variant size quantitation across independent replicates, which displayed a strong negative correlation to variant size (dotted lines indicate 95% confidence interval). …”