№ lp_2_1_26703
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Supplementary scientific material presenting statistical tables and figures on sociodemographic characteristics, sleep parameters, psychological scale scores, correlations with actigraphy measures, and factor and diagnostic analyses in different groups of sailors before sailing and after landing.
Document type:
Supplemental material
Content type:
Statistical tables and figures
Study population:
Sailors
Sample size:
n = 40; n = 208; n = 235
Groups:
Sailors with actigraphy; Watchstanding sailors; Day-working sailors
Study variables:
B-PSQI; ISI; SAS; SDS; Actigraphy parameters (TST; SE; WASO; SOL)
Measures:
Pittsburgh Sleep Quality Index (B-PSQI); Insomnia Severity Index (ISI); Zung Self-rating Anxiety Scale (SAS); Zung Self-rating Depression Scale (SDS)
Statistical indicators:
Mean (M); Standard deviation (SD); Skewness; Kurtosis; F; χ²; Correlation coefficients; AUC
Observation periods:
Before sailing; After landing
Analytical methods:
Descriptive statistics; Correlation analysis; Confirmatory factor analysis; Receiver operator characteristics analysis
Price: 8 / 10 USD
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Organization:
Olympia Community Sailing
Document Type:
Participant Information Notice
Program Type:
Summer Sailing Classes and Camps
Topic:
Sailing camp preparation and safety requirements
Audience:
Registered parents and sailors
Required Documents:
Medical and Liability Waiver (valid for one calendar year)
Safety Equipment Requirements:
Lifejacket and helmet mandatory during classes
Helmet Policy:
Helmets available from OCS at no cost; personal helmets permitted
Lifejacket Policy:
Rental available ($2/day or $10/week); personal lifejackets recommended
Participant Preparation:
Clothing suitable for wet conditions, sun protection, water bottle, snacks or lunch, towel, extra layers and clothes
Weather Policy:
Sailing activities may take place during rain
Contact Person:
Jessie Sordahl
Contact Email:
[email protected]
Document Type:
Supplementary material
Subject:
Drug synergy and population pharmacokinetic modeling
Drugs Studied:
Doxorubicin; Abemaciclib
Cell Lines:
MDA-MB-231; MDA-MB-468
Methods:
Western blot; HPLC; LC-MS/MS; Visual predictive check; Goodness-of-fit analysis
Data Type:
In vitro experimental data; Clinical pharmacokinetic data
Measurement Units:
µM; µg/mL; mg/m2; m2; hr
Sample Size:
n values ranging from 3 to 41
Referenced Publications:
1983–2018
Analytes:
Free doxorubicin; Pegylated liposomal doxorubicin; Total doxorubicin
Document type:
Supplementary material
Components:
Supplementary Figures; Supplementary Table; Supplementary references
Figures included:
Figure S1; Figure S2; Figure S3; Figure S4
Table included:
Table S1
Research topic:
Gut microbiota, intestinal inflammation and ulcerative colitis in murine models
Experimental subjects:
Mice
Biological focus:
Colonic tissue; intestinal barrier function; immune response; gut microbiota at genus level
Analytical methods mentioned:
Western blot; immunoblot; densitometric analysis
Key elements:
SCR-CDs synthesis; organ weight measurement; bacterial genera classification as beneficial or harmful; associated pathological states
Referenced conditions:
Ulcerative colitis; inflammatory bowel disease; colitis
Cited works:
Peer-reviewed journal articles with DOIs listed
Document type:
Supplementary tables to a scientific research article
Subject:
Nutritional composition and physiological effects of nano-selenium in on-growing grass carp
Study organism:
On-growing grass carp
Experimental groups:
RD; HFD; HSe0.3; HSe0.6
Dietary treatments:
Regular diet; high-fat diet; high-fat diet supplemented with 0.3 mg/kg nano-Se; high-fat diet supplemented with 0.6 mg/kg nano-Se
Measured parameters:
Growth performance; gene expression primers; fatty acid composition of muscle
Nutrients analyzed:
Crude protein; crude lipid; selenium levels; fatty acids (SFA, MUFA, PUFA, n-3 PUFA, n-6 PUFA)
Genes analyzed:
β-actin; MyoD; MyoG; PPARα; ATGL; LPL; HSL; PI3K; AKT; TOR; S6K1; 4E-BP1; GLDH
Data presentation:
Mean ± SD (n = 3); statistical significance at P < 0.05
Language:
English
Document type:
Supplementary statistical tables
Research field:
Geriatrics and public health
Topic:
Frailty domains and health-related quality of life in older adults
Variables examined:
Physical frailty, psychological frailty, social frailty, PCS, MCS
Population:
Older adult participants
Sample size:
2167 participants
Countries included:
United Kingdom, Greece, Croatia, The Netherlands, Spain
Data type:
Quantitative observational data
Statistical methods:
Descriptive statistics, UNIANOVA interaction analysis, multivariate linear regression
Outcome measures:
Physical Component Summary (PCS), Mental Component Summary (MCS)
Covariates:
Age, sex, country, education level, living situation, lifestyle factors, multi-morbidity
Lifestyle variables:
Alcohol risk, exercise frequency, smoking status
Education categories:
Primary or less, secondary or equivalent, tertiary or higher
Living arrangement categories:
Living alone, living with others
Significance threshold:
p<0.05 with Bonferroni correction for multiple testing
Missing data reported:
Education, living situation, alcohol use, exercise, smoking, multi-morbidity
Year:
Not specified
Study focus:
RNA secondary structure analysis of viral IRES elements and Insr 5′UTR
Techniques:
DMS-MaPseq, RT-qPCR, bicistronic luciferase assay
Biological systems:
Live cells and in vitro assays
Analyzed sequences:
HCV IRES, EMCV IRES, Insr 5′UTR
Experimental components:
Domain deletions, tetraloop hairpin mutants, sufficiency mutants
Data types:
Mutation rate scatterplots, frequency histograms, AUROC comparisons, conservation tracks, structural models, raw luciferase assay data
Materials:
Oligonucleotides and plasmids for mutagenesis and DMS-MaPseq library preparation
Comparative references:
Published structural models of viral IRES elements
Associated figures:
Figures 1, 4, 5, and 6
Document type:
Supplementary tables from a scientific research study
Research field:
Oncology; Cancer genomics
Disease focus:
Prostate cancer
Study design:
Retrospective cohort analysis
Cohorts included:
JHMI; Mayo; TJU; Durham; Kaiser; BWH; TCGA
Tissue type:
Radical prostatectomy specimens and biopsy samples
Total sample sizes:
Cohorts ranging from 100 to 355 patients
Clinical variables:
Age at diagnosis; PSA at diagnosis; Gleason Grade Group; ADT treatment status; metastatic outcome or recurrence; follow-up duration
Statistical measures:
Adjusted p-values after FDR multiple test correction; hazard ratios; confidence intervals; p-values
Genetic markers analyzed:
DNA repair signatures; immune cell signatures; mismatch repair genes; neuroendocrine markers; multiple individual genes (e.g., PMS2, MLH1, ESR1, SOX2)
Outcome measures:
Metastatic progression or recurrence
Statistical models:
Batch-stratified competing risks regression
Key variables in regression:
AR-A expression level; Gleason grade ≥8; surgical margins; PSA level; age at radical prostatectomy; ADT treatment type; extracapsular extension; seminal vesicle invasion; lymph node invasion
Follow-up period:
Median follow-up ranging from 28 to 108 months across cohorts
Document Type:
Supplementary appendix
Subject Area:
Oncology
Disease Focus:
Renal cell carcinoma
Content Type:
Tables and figures
Population:
Patients with renal cell carcinoma
Sample Size:
43 patients (baseline characteristics), 19 patients (tumor mutation burden), 8 patients (PD-L1 expression)
Variables:
Age, sex, ECOG performance status, histology, sarcomatoid/rhabdoid differentiation, IMDC risk group, metastases, prior nephrectomy, therapy line
Biomarkers:
Tumor mutation burden, PD-L1 expression
Outcomes:
Best overall response, overall survival
Response Categories:
Partial response, stable disease, progressive disease
Institutions Referenced:
Eastern Cooperative Oncology Group, International Metastatic RCC Database Consortium
Language:
English
Data Presentation:
Quantitative tabular data with percentages and counts
Year:
2026
Type of Study:
Observational clinical study
Population:
Surgical patients
Variables Analyzed:
PLR, Age, Sex, BMI, Comorbidities, Laboratory values, Surgery characteristics
Statistical Methods:
Regression analysis, Sensitivity analysis, Exploratory analysis
Outcome Measures:
Odds ratios for surgical complications
Adjustments:
Multiple covariates including comorbidities, lab results, surgery type, and demographics
Data Source:
Hospital surgical records
Target Audience:
Clinical researchers, surgeons, epidemiologists
Supplementary Information:
Tables S1–S3 present detailed statistical analyses