Chun Fai Martin Cheng: How can we decrease metabolism in the New Zealand green-lipped mussels, Perna canaliculus, for better transport? by Cheng Martin (11717816)

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

“…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”

Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”

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

Image_6_Loss of CDYL Results in Suppression of CTNNB1 and Decreased Endometrial Receptivity.TIF by Xiaowei Zhou (1332225)

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

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

“…WB-CBSM decreased anxiety scores at month (M) 1, M3, and M6; it also reduced depression scores at M3 and M6 compared with NC. …”

A typical metaboliser prevalence for CYP2D6 and CYP2C19 across diverse ancestry groups. These are genetically predicted based on data published by PharmGKB and CPIC. We have define... by Emma F. Magavern (20947928)

Microhardness vs. depth diagram of sample No. 6 ( by Van-Thuc Nguyen (19469762)

“…The Travel speed factor appears to have the greatest effect, followed by the gas flow rate and current intensity. …”

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

Video6_Aging, not Parkinson’s disease, decreases a recalibration of body ownership caused by vision-respiratory interaction.MP4 by Daiki Shoji (18283906)

S6 Data - by Christoph Anders (4068499)

Data for Fig 6D. by Xiaohua Zhang (350570)

Participants characteristics. by Sakiko Fukui (387048)

“…</p><p>Results</p><p>Eligible residents’ mean age was 89.7 ±  6.7 years, and 79.7% were female. Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…</p><p>Results</p><p>Eligible residents’ mean age was 89.7 ±  6.7 years, and 79.7% were female. Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”

S6 Dataset - by Rahmat Naddafi (373065)

All data points from Fig 6. by Sara Hijazi (21656615)

Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

S6 Table - by Yong-Rae Kim (19797278)

Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

“…The ICER for AOM was US$6,285.303 per QALY, which is below the CET, indicating that AOM is cost-effective. …”