Table 2_Analysis of the impact of digital economy on carbon emissions and its mediation effect.xls by Bingjie Liu (2592214)

“…The results reveal that: (1) An inverted U-shaped relationship exists between digital economy development and carbon emissions, with initial increases followed by decreases after reaching a certain value; (2) Electricity consumption and green technology innovation serve as mediation mechanisms; (3) Digital economy can effectively curb emissions when urbanization and financial development surpass certain threshold levels. …”

Table 2_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.docx by Yi Shen (152956)

“…Compared with those with non-impaired CRF, those in the impaired group exhibited a rise in PA by 1.46 years [β (95% CI): 1.46 (1.03, 2.10), p = 0.040]. …”

Data Sheet 2_Association of cardiorespiratory fitness with phenotypic age in younger population: a study based on the NHANES database.pdf by Yi Shen (152956)

“…Compared with those with non-impaired CRF, those in the impaired group exhibited a rise in PA by 1.46 years [β (95% CI): 1.46 (1.03, 2.10), p = 0.040]. …”

Supplementary Material for: Comprehensive Genetic Analysis Exploring Sedentary Lifestyle, Physical Activity, and Respiratory Diseases: A Bidirectional Mendelian Randomization with... by Wan W. (4013744)

“…Results: Aggregating outcomes from analytical assessments showed that LST was positively correlated with the risk of asthma (OR = 1.22, 95% CI = 1.10-1.34, p = 9.36E-5), chronic obstructive pulmonary disease (COPD) (OR = 1.31, 95% CI = 1.16-1.49, p = 2.45E-5), lung cancer (OR = 1.18, 95% CI = 1.05-1.32, p = 0.005), and obstructive sleep apnea (OSA) (OR = 1.12, 95% CI = 1.04-1.22, p = 0.003). …”

data_availability_Grandi_Soft_Matter.zip by Alvaro Anzoleaga Grandi (20744993)

ChatGPT in CKD: Using Artificial Intelligence for Health Literacy by Oscar Yasser Pena Zapata (19959306)

“…Results showed a significant improvement, with the average FKGL dropping from 9.1 to 7.0 after modification. The most notable simplification was in one question, where the readability score decreased from 11.8 to 5.2. …”

Table 2_An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study... by Yingfeng Ge (16982130)

“…The performance of each model was assessed using 10-fold cross-validation and evaluated in terms of accuracy (ACC), area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and F1-score.</p>Results<p>Compared to SMCI patients, PMCI patients exhibit a trend of “high to low” frequency shift, decreased complexity, and a disconnection phenomenon in EEG signals. …”

Table 3_An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study... by Yingfeng Ge (16982130)

“…The performance of each model was assessed using 10-fold cross-validation and evaluated in terms of accuracy (ACC), area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and F1-score.</p>Results<p>Compared to SMCI patients, PMCI patients exhibit a trend of “high to low” frequency shift, decreased complexity, and a disconnection phenomenon in EEG signals. …”

<b>Beyond Pathogen Identity: Host-Specific Prognostic Markers and mNGS Insights in ICU MDRO Infections</b> by Yi Su (21242279)

“…Multivariate analysis identified elevated neutrophil count (OR=1.120, 95% CI: 1.04–1.21, P=0.004), decreased prealbumin level (OR=0.99, 95% CI: 0.98–0.99, P=0.032), and surprisingly, non-infection with MRSA (OR=0.38, 95% CI: 0.14–0.99, P=0.048) as independent risk factors for poor prognosis.…”

Supplemental information for "Pellet Production from Municipal Solid Wastes Under Various Parametric Conditions in a Cold Canadian Climate" by Benjamin Mauricio Martinez Castellanos (22147134)

“…RDFs had a high heating value (HHV) of 21.49 MJ kg^-1, twice that of DAPs (10.07 MJ kg^-1). …”

Image 2_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 7_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.docx by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 3_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 5_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 4_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Image 4_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.jpeg by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 5_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 6_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xlsx by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 3_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xls by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”

Table 2_Profiling of small RNAs derived from tomato brown rugose fruit virus in infected Solanum lycopersicum plants by deep sequencing.xls by Mangle Chen (20639051)

“…The presence of vsiRNAs was confirmed in tomato plants infected with ToBRFV through RT-PCR, and GO and KEGG enrichment analyses were performed on the predicted vsiRNA target genes (with an expectation value less than or equal to 2.5). Seven potential target genes were selected for qRT-PCR analysis, confirming that their transcript accumulation significantly decreased in the leaves of tomato plants infected with ToBRFV. …”