Endogeneity estimation results. by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Unconditional quantile regression results. by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Robustness test results. by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Results of the test for mediating effect (1). by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Variables and descriptive statistics. by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Results of the baseline regression analysis. by Lingzhi Tan (19146572)

“…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”

Table 1_Measuring multidimensional sustainability in small-scale aquaculture: evidence from the Gulf of Nicoya, Costa Rica.docx by Ana Robles-Herrera (22521938)

“…</p>Discussion<p>The analysis of the results addresses the contrasts in the levels of sustainability of shrimp and oyster production in the Gulf of Nicoya, and compares them with similar experiences in other latitudes. It delves into areas of opportunity in the region, such as technification, circular economy and good governance, through the presentation of success stories in other small-scale aquaculture systems around the world. …”

Data_Sheet_1_microRNAs profiling of small extracellular vesicles from midbrain tissue of Parkinson’s disease.DOCX by Zhengzhe Li (339033)

“…Interestingly, the expression levels of miR-103-3p, miR-107-3p, miR-219a-2-3p, and miR-379-5p were elevated in bdsEVs and sEVs from plasma; in contrast, their expression levels were decreased in plasma of the rat model of PD. In summary, miRNAs may play a significant role in the onset and development of PD, and miRNAs need to be selected carefully as a research subject for exploring the pathological mechanism and the potential therapeutic targets and diagnostic markers of PD.…”

Fig 8 - by Justine Eppe (18495499)

Discovery of MKP10241, a Novel Small Molecule Targeting the GPR119/Incretin Axis to Treat Metabolic Disorders by Santosh Kumar Rai (22382996)

Visualization of participant recruitment. by Kelley E. Gunther (14045940)

“…Probing this interaction revealed that for children with low reported internalizing behaviors (-1 SD) and high reported effortful control (+1 SD), eye blink rate significantly decreased as they waited longer to take their turn. …”

MaxEnt-generated wheat suitability maps (Esri ArcGIS Pro 2024) with classification predicted for different period of time (the wheat distribution is given between brackets). by Khalifa M. Al-Kindi (3719854)

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The variables selected for the model predicting the geographical distribution of wheat. by Khalifa M. Al-Kindi (3719854)

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The association between wheat distribution and bioclimatic factors for 1970–2020. by Khalifa M. Al-Kindi (3719854)

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Wheat distribution and bioclimatic factors for 2021–2040. Panels a–e show the associations between wheat distribution and key climatic parameters: temperature seasonality, average... by Khalifa M. Al-Kindi (3719854)

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Schematic representation of the sequential steps in the analytical process. by Khalifa M. Al-Kindi (3719854)

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a. The percentage of temporal wheat cultivation suitability showing the land distribution across five categories, very high, high, moderate, low and very low suitability, from 1970... by Khalifa M. Al-Kindi (3719854)

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S1 File - Climate change and its impact on wheat distribution in semi-arid ecosystems: A case study from the Sultanate of Oman by Khalifa M. Al-Kindi (3719854)

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Locations within the study area featuring the elevation map and wheat data used to train and test the model (Esri ArcGIS Pro 2024). by Khalifa M. Al-Kindi (3719854)

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Model assessment showing the AUC outcomes based on historical and projected bioclimatic variables (Esri ArcGIS Pro 2024). by Khalifa M. Al-Kindi (3719854)

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