Phase 1 pre- and post-test Means (<i>M</i>), Standard Deviations (<i>SD</i>), between group effect sizes (<i>d</i>), and RMANOVA results (<i>F</i>-value, <i>p</i>-value) for interv... by Wendy C. Crone (2262169)

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.…”

Characteristics of recruited licensed premises. by Eleni Mantzari (6991172)

Subjects:

We use Singapore dataset to illustrate “coexistence state” and “dominance state” of a language. by Zejie Zhou (8828054)

“…<p>“X” represents the fractions of languages and <i>τ</i> represents time steps. (A) After <i>τ</i> = 2500, competing languages stay in coexistence state with English acquiring the largest fraction of speakers. …”

Outcome variable descriptive statistics. by Kristen S. Regenauer (13842386)

“…SU stigma significantly decreased (<i>F</i>(1,16) = 18.94, <i>p</i> < 0.001, η_p² = 0.54). …”

Demographic & job characteristics. by Kristen S. Regenauer (13842386)

“…SU stigma significantly decreased (<i>F</i>(1,16) = 18.94, <i>p</i> < 0.001, η_p² = 0.54). …”

Training feedback. by Kristen S. Regenauer (13842386)

“…SU stigma significantly decreased (<i>F</i>(1,16) = 18.94, <i>p</i> < 0.001, η_p² = 0.54). …”

Study flow. by Kristen S. Regenauer (13842386)

“…SU stigma significantly decreased (<i>F</i>(1,16) = 18.94, <i>p</i> < 0.001, η_p² = 0.54). …”

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

Complete ΔΔ<i>G</i> analysis data. by Jimin Yoon (9646685)

Subjects:

Data from: Predicted range expansion of the larger grain borer, <i>Prostephanus truncatus </i>(Coleoptera: Bostrichidae), under projected climate change scenarios by Alison Gerken (17362585)

“…<p dir="ltr">The larger grain borer (<i>Prostephanus truncatus</i> [Horn] [Coleoptera: Bostrichidae]) is a wood-boring insect native to Central America but has adapted to stored maize and cassava. …”

Baseline characteristics of the US population ages 64 and 66 years by income level¹. by Rahul Aggarwal (4428457)

Fig 1 - by Seraphine Zeitouny (16954499)

Subjects:

Uncropped blots corresponding to Fig 3A, provided for assessment of band specificity and loading consistency. by Tetsuya Kakita (4922584)

S1 Data - by Julian Burtniak (15314522)

“…Overall, a trend of decreasing sensitivity with larger pool sizes was observed, with modest sensitivity losses in the largest pools tested, and high sensitivity in all other pools. …”

Normalized damping factor <i>β</i>′ = <i>β</i>/<i>ω</i>_und vs. normalized frequency <i>f</i>′ for several bubble radii. by Mark W. Sprague (12220544)

Association of Medicare eligibility and enrollment with financial strain due to medical bills by income level¹. by Rahul Aggarwal (4428457)

Phase 2 pre- and post-test Means (<i>M</i>), Standard Deviations (<i>SD</i>), between group effect sizes (<i>d</i>), and RMANOVA results (<i>F</i>-value, <i>p</i>-value) for interv... by Wendy C. Crone (2262169)

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

DataSheet1_Remote sensing modeling of environmental influences on lake fish resources by machine learning: A practice in the largest freshwater lake of China.docx by Tan Chen (571832)

“…Here, taking the largest freshwater lake (Poyang Lake) in China as a study case, we first proposed a conceptual model and simulated the effect of environmental variables on fish catches based on remote sensing techniques and machine learning algorithms. …”