Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. by Margaret A. Carpenter (6104180)

“…<p>Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…”

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study by Qing Hao (566198)

“…<p>This randomised controlled study was aimed at investigating the effects of WeChat-based cognitive behavioural stress management (WB-CBSM) on the mental health of patients with early-stage cervical cancer treated with surgical resection.…”

Screening Sheet: A sheet that contains the full screening process that we used to include or exclude any study. by Mohamed R. Abdelraouf (21501468)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

The experimental set-up we used. by Hillary Jean-Joseph (9676166)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …”

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…However, the effect of reduced SSC on Chl-a is poorly studied. Here, we compared and analyzed the distribution conditions of Chl-a in 6 representative years for both before the implementation of Three Gorges Dam (TGD) (BIT) and after the implementation of TGD (AIT), using the TM/OLI data and NIR-red inversion model. …”

Predicting pattern diversity decreases as a function of and . by Selim Haj Ali (21222613)

“…(a) and (b): Average negative predictive value for and , respectively for and . …”

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Data Sheet 1_A synonymous mutation of rs1137070 cause the mice Maoa gene transcription and translation to decrease.pdf by Kai Xin Li (19696741)

Mitigation (decreasing) scenario. by Fabio Correddu (12501799)

Tobacco and alcohol use are the risk factors responsible for the greatest burden of head and neck cancers: a study from the Global Burden of Disease Study 2019 by Yue Yuan (113839)

“…Interestingly, the ASIRs for laryngeal cancer showed a decreasing trend over the studied time frame from 1990 to 2019. …”

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

The three schizophrenia patient clusters visualized using functional connectivity matrices. To create the visualizations, we take all the windows belonging to a cluster and average... by Eloy Geenjaar (21533195)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Development of Selective and Soluble Mitochondrial Complex 1 Inhibitors Derived from Papaverine for Radiosensitization of Cancer by Ben J. Haines (22458462)

“…We have therefore generated additional derivatives which have improved mitochondrial complex 1 inhibition and reduced PDE10A inhibition. …”

Development of Selective and Soluble Mitochondrial Complex 1 Inhibitors Derived from Papaverine for Radiosensitization of Cancer by Ben J. Haines (22458462)

“…We have therefore generated additional derivatives which have improved mitochondrial complex 1 inhibition and reduced PDE10A inhibition. …”

General characteristics of study subjects. by Soo-Hee Hwang (17767519)

“…COVID-19 did not affect inpatient mortality (p = 0.9608), but in-hospital mortality decreased from 12% to 7% in the medical aid group.</p><p>Conclusion</p><p>Overall, we found that COVID-19 had an impact on admission rates of patients with AMI but did not have a significant impact on in-hospital mortality. …”