Table 2_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.xlsx by Rong Su (2210740)

“…Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. </p>Methods<p>MiRNA sequencing data was used to identify RMRMs. …”

Image 4_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.tif by Rong Su (2210740)

“…Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. </p>Methods<p>MiRNA sequencing data was used to identify RMRMs. …”

Table 1_Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma.xlsx by Rong Su (2210740)

“…Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. </p>Methods<p>MiRNA sequencing data was used to identify RMRMs. …”

Experimental paradigm and BCI adaptation. by Enrico Ferrea (22331938)

“…Numerical data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003408#pbio.3003408.s009" target="_blank">S1 Data</a>.…”

In-depth understanding of how the model works. by Antoine Grigis (6659024)

“…Values on the x-axis encode how much model performance decreases with a random shuffling (using balanced accuracy as the performance metric). …”

Exploring the effects of COVID-19 on verbal memory function in schizophrenia: Multiple case study and brief literature review by Barbora Keřková (15125926)

“…We calculated the Reliable Change Index to estimate the clinical significance of verbal memory performance changes, with annualized change rates in hippocampal volumes assessed against normative data. Compared to their matches, COVID-19 positive cases did not show mutually consistent changes in verbal memory performance: one case experienced a significant decline in verbal memory and learning, while the other showed a general normalization of test scores. …”

Clinical Connections KG version 20240501 by Jennifer Hadlock (20465732)

“…We use data from over 28 million Electronic Health Records (EHRs) to train a large collection of interpretable machine learning models which are integrated into a single large knowledge graph. …”

Image 4_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neur... by Yun Zhong (289887)

“…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”

Image 3_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neur... by Yun Zhong (289887)

“…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”

Table 1_DKK3 and SERPINB5 as novel serum biomarkers for gastric cancer: facilitating the development of risk prediction models for gastric cancer.docx by Yan-Yu Liu (9562262)

“…This study aims to identify new promising biomarkers for GC to develop a risk prediction model for effective assessment, screening, and early diagnosis. …”

Image 2_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neur... by Yun Zhong (289887)

“…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”

Image 1_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neur... by Yun Zhong (289887)

“…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”

Table 2_Downsizing chronic disease management programs for type 2 diabetes patients during the COVID-19 pandemic: changes in healthcare utilization patterns.docx by Corinne Rijpkema (12587274)

“…In Q1 of 2020, type 2 diabetes patient visits to out-of-hours GP services rose notably, but decreased in Q1 of 2021, compared to 2019. Hospital care for diabetes showed a significant increase in Q2 of 2021 (+11.3%), compared to Q2 2019 and regular GP care increased from Q1 2021 (up to +11.1% in Q3 2021). …”

Table 1_Downsizing chronic disease management programs for type 2 diabetes patients during the COVID-19 pandemic: changes in healthcare utilization patterns.docx by Corinne Rijpkema (12587274)

“…In Q1 of 2020, type 2 diabetes patient visits to out-of-hours GP services rose notably, but decreased in Q1 of 2021, compared to 2019. Hospital care for diabetes showed a significant increase in Q2 of 2021 (+11.3%), compared to Q2 2019 and regular GP care increased from Q1 2021 (up to +11.1% in Q3 2021). …”

Regression for case (2). by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

Regression for case (3). by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

Regression for case (1). by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

<b>Global patterns and drivers of soil dissolved organic carbon concentrations</b> by Andong Cai (10329365)

“…However, global driving factors and the spatial distribution of soil DOC remain poorly quantified, largely due to limited large-scale data. Here, we compile a comprehensive global database of soil DOC concentrations, encompassing 12,807 observations extracted from 975 scientific publications published between 1984 and 2020. …”

LSTM model. by Longfei Gao (698900)

“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”

CNN model. by Longfei Gao (698900)

“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”