Sampling locations for banana aphids. by Aime Cheoh Enoh (20141758)

“…A significant decrease in aphid fecundity was observed with BIITAC6.2.2, MIITAC6.2.2, and BIITAC10.3.3. …”

<i>Aedes aegypti</i> database from SAGO traps. by Jesús A. Aguilar-Durán (9931967)

“…</p><p>Conclusion</p><p>Despite all treatments followed a reduction in mosquito populations, those that included AGO showed a greater decrease in post treatment populations than conventional control measures (IVM) alone. …”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Table 1_Associations of specific food sources of dietary fat with prostate cancer incidence and mortality: results from a large prospective cohort.docx by Yong-xin Fu (22644743)

“…</p>Conclusion<p>These findings demonstrate that the specific food sources of fat rather than total amount were significantly associated with PCa incidence and mortality.…”

Data Sheet 1_Abundance, occurrence, and degradation of airborne antibiotic resistance genes in coastal and marine atmospheres.docx by Shijie Jia (5749301)

“…Using Na⁺ and Ca²⁺ as indicators of marine and continental aerosol sources, respectively, we quantified the mutual transport of airborne ARGs. …”

Restriction of mitochondrial oxidation of glutamine or fatty acids enhances intracellular growth of <i>Mycobacterium abscessus</i> in macrophages by Ho Won Kim (18237328)

“…Mab infection shifted BMDMs towards a more energetic phenotype, marked by increased oxidative phosphorylation (OXPHOS) and glycolysis, with a significantly greater enhancement in OXPHOS. This metabolic adaptation was characterized by enhanced ATP production rates, particularly in cells infected with S-type Mab, highlighting OXPHOS as a key energy source. …”

Data Sheet 1_Global, regional, and national disease burden of tobacco-related Alzheimer’s disease among individuals over the age of 55: a global burden of disease study.docx by Tianyi Dong (8060000)

“…The disease burden among men was significantly higher than of among women, approximately three times greater. …”

DataSheet1_Genome-wide association analysis and genomic prediction of salt tolerance trait in soybean germplasm.xlsx by Rongqing Xu (9504492)

“…However, salt stress is an important abiotic factor that can severely impair soybean yield by disrupting metabolic processes, inhibiting photosynthesis, and hindering plant growth, ultimately leading to a decrease in productivity.</p>Methods<p>This study utilized phenotypic and genotypic data from 563 soybean germplasms sourced from over 20 countries. …”

Image 1_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.tiff by Dickson Anoibi Matthew (20287776)

“…Similarly, species common to all the urbanization categories (species present at least at one point in rural, suburban, and urban) also exhibited a decrease in abundance. The suburban area showed a greater similarity in bird community composition to the urban area than the rural area. …”

Table 1_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.xlsx by Dickson Anoibi Matthew (20287776)

“…Similarly, species common to all the urbanization categories (species present at least at one point in rural, suburban, and urban) also exhibited a decrease in abundance. The suburban area showed a greater similarity in bird community composition to the urban area than the rural area. …”

Table 2_Structural and acoustic properties of urbanized landscapes adversely affect bird communities in a tropical environment.docx by Dickson Anoibi Matthew (20287776)

“…Similarly, species common to all the urbanization categories (species present at least at one point in rural, suburban, and urban) also exhibited a decrease in abundance. The suburban area showed a greater similarity in bird community composition to the urban area than the rural area. …”

Integrating legumes into cropping systems enhances soil carbon and nitrogen content while reduces the soil carbon-to-nitrogen ratio: A global meta-analysis by Zhiqiang Lu (20145192)

“…Moreover, SOC and STN increased when legumes replaced fallow or gramineous soil, whereas SCN significantly decreased only when legumes replaced gramineous systems. …”

Data Sheet 4_Modeling the advective supply of Calanus finmarchicus to Stellwagen Bank as an indicator of sand lance foraging habitat, and the climate vulnerability of a National Ma... by Cameron R. S. Thompson (20622296)

“…To quantify the connectivity between SBNMS and potential sources of C. finmarchicus, we used the Finite-Volume Community Ocean Model (FVCOM) coupled with Lagrangian particle tracking over the years 1978 to 2016. …”

Data Sheet 3_Modeling the advective supply of Calanus finmarchicus to Stellwagen Bank as an indicator of sand lance foraging habitat, and the climate vulnerability of a National Ma... by Cameron R. S. Thompson (20622296)

“…To quantify the connectivity between SBNMS and potential sources of C. finmarchicus, we used the Finite-Volume Community Ocean Model (FVCOM) coupled with Lagrangian particle tracking over the years 1978 to 2016. …”

Table 1_Modeling the advective supply of Calanus finmarchicus to Stellwagen Bank as an indicator of sand lance foraging habitat, and the climate vulnerability of a National Marine... by Cameron R. S. Thompson (20622296)

“…To quantify the connectivity between SBNMS and potential sources of C. finmarchicus, we used the Finite-Volume Community Ocean Model (FVCOM) coupled with Lagrangian particle tracking over the years 1978 to 2016. …”