Supplementary file 1_Effects of Lactiplantibacillus plantarum DSM 33464 in children with elevated blood lead levels: a randomized, double-blind, placebo-controlled study.docx by Wenjing Ji (720509)

“…Introduction<p>Approximately one-third of the world’s children have elevated blood lead levels (BLLs), which may lead to often-irreversible decreased intelligence, behavioral difficulties, and learning problems. …”

CLAD_sequence_files by Ryan Hunter (21714311)

“…Datasets were analyzed using random forest (RF) machine learning and multivariate statistics for associations with underlying disease and final CLAD severity.…”

Image 3_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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

Image 2_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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

Data Sheet 1_Artificial clicks (Porpoise ALert) affect acoustic monitoring of harbour porpoises and their echolocation behaviour.pdf by Joseph G. Schnitzler (12084395)

“…</p>Methods<p>Therefore, we deployed an array of 11 C-PODs at distances between 50 and 350 m to a duty-cycled PAL in the middle over a period of 3 months. …”

Image 1_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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

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)

“…However, the risk associated with RNA methylation-related miRNAs (RMRMs) in the HCC immune microenvironment remains largely unknown. Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. …”

Supplementary file 1_An expert patient program for people living with multiple sclerosis improves knowledge and empowerment: a pre-test, post-test multicenter implementation study.... by Miguel Ángel Robles-Sánchez (21211703)

“…Expert patient (EP) programs foster knowledge transfer through peer learning, facilitating patients’ empowerment to self-manage their disease. …”

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)

“…However, it remains unknown whether downsizing CDMP increased care in other settings. Therefore, we examined the changes in healthcare utilization for type 2 diabetes patients during the COVID-19 pandemic including CDMP, GP out-of-hours care, hospital care, and regular GP care.…”

Data Sheet 1_Comprehensive analysis of metabolism-related genes in sepsis reveals metabolic–immune heterogeneity and highlights GYG1 as a potential therapeutic target.csv by Jie Zheng (31208)

“…Machine learning identified five hub metabolic genes for constructing a metabolic risk score, whose prognostic relevance was robustly validated in an external cohort. …”

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)

“…However, it remains unknown whether downsizing CDMP increased care in other settings. Therefore, we examined the changes in healthcare utilization for type 2 diabetes patients during the COVID-19 pandemic including CDMP, GP out-of-hours care, hospital care, and regular GP care.…”

Clinical Connections KG version 20240501 by Jennifer Hadlock (20465732)

“…This KP provides a knowledge graph pointing from risk factors to a variety health outcomes (diseases, phenotypes, medication exposure). 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. …”

Raw SEPhluorin FRAP Imaging Data for Fig 2B. by Morgan Buckley (20291334)

“…<div><p>Modulation of neurotransmission is key for organismal responses to varying physiological contexts such as during infection, injury, or other stresses, as well as in learning and memory and for sensory adaptation. Roles for cell autonomous neuromodulatory mechanisms in these processes have been well described. …”

<i>C</i>. <i>elegans</i> strains used in this study. by Morgan Buckley (20291334)

“…<div><p>Modulation of neurotransmission is key for organismal responses to varying physiological contexts such as during infection, injury, or other stresses, as well as in learning and memory and for sensory adaptation. Roles for cell autonomous neuromodulatory mechanisms in these processes have been well described. …”

Repetitive stress modulates loudness perception. by Ghattas Bisharat (20706928)

“…(c) Perceptual boundaries in different conditions. We define the perceptual boundary as the intensity where the psychometric fit to the choice function, crosses PLoud = 0.5. …”

Raw RNAi Swimming Data for Fig 4B. by Morgan Buckley (20291334)

“…<div><p>Modulation of neurotransmission is key for organismal responses to varying physiological contexts such as during infection, injury, or other stresses, as well as in learning and memory and for sensory adaptation. Roles for cell autonomous neuromodulatory mechanisms in these processes have been well described. …”

Homophily in lagoon use-Namibian bottlenose dolphins by Bridget James (21577886)

“…Additionally, the majority of previously stranded dolphins (71%) were still observed using the lagoon habitat, despite having experienced the risks of potentially life-threatening stranding events. We suggest that the use of this potentially risky, but resource rich habitat may be socially learned, however the mode of transmission of this behaviour (vertically or horizontally) has yet to be investigated. …”

Supplementary file 1_Protective and risk factors in daily life associated with cognitive decline of older adults.docx by Fang Tong (484200)

“…Background<p>Cognitive decline is a chronic condition which is characterized by a loss of the ability to remember, learn, and pay attention to complex tasks. Many older people are now suffering from cognitive decline, which decreases life quality and leads to disability. …”