№ lp_2_3_12131
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The document provides supplementary figures and tables detailing metabolite analysis in SLE patients using different machine learning methods and biochemical markers.
Year:
2026
Region / City:
Global
Topic:
Metabolomics, Systemic Lupus Erythematosus (SLE), Machine Learning
Document Type:
Research Supplementary Data
Organization / Institution:
Various Research Institutes
Author:
Multiple Authors
Target Audience:
Researchers, Medical Scientists, Healthcare Professionals
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2026
Study Type:
Clinical research supplementary material
Patient Population:
Systemic Lupus Erythematosus (SLE) patients
Treatment:
Belimumab
Outcome Measures:
Lupus Low Disease Activity State (LLDAS), cSLEDAI-2K = 0
Data Type:
Statistical tables, logistic regression results
SDI:
Systemic Lupus International Collaborating Clinics / American College of Rheumatology Damage Index
Significant Findings:
Highlighted P values for cognitive impairment and musculoskeletal outcomes
Time Frame:
Week 52 after treatment initiation
Variables Assessed:
Ocular, neuropsychiatric, renal, pulmonary, cardiovascular, peripheral vascular, gastrointestinal, musculoskeletal, skin, endocrine, malignancy
Analysis Method:
Simple logistic regression, odds ratios with 95% confidence intervals
Year:
2023
Region / City:
Hyderabad, Telangana, India
Subject:
Metabolomics, Plasma Profiling, Pre-Diabetes, Non-Diabetic CP Patients
Document Type:
Supplementary Information
Organization / Institution:
Translational Research Centre, Asian Healthcare Foundation, AIG Hospitals, CSIR-Indian Institute of Chemical Technology
Authors:
Ketavarapu Vijayasarathy, Addipilli Ramunaidu, Nagarjunachary Ragi, Pallerla Pavankumar, Venu Simhadri, Suvidha Manne, Sannapaneni Krishnaiah, Mohsin Aslam, Rupjyoti Talukadar, Ch. Venkataramana Devi, G.V. Rao, Ramars Amanchy, D. Nageshwar Reddy, Prabhakar Sripadi, Mitnala Sasikala
Target Audience:
Researchers, Healthcare professionals in metabolomics and diabetes research
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2026
Region / City:
Not specified
Subject:
Chemical analysis and metabolomics
Document Type:
Supplementary material
Institution:
Not specified
Author:
Not specified
Experimental model:
Mice
Techniques:
LC-MS, PCA analysis
Compounds analyzed:
SYD constituents, altered metabolites in distal colon
Batch analysis:
Three batches of SYD
Ion modes:
Positive and negative
Tables included:
S1, S2
Figures included:
S1–S4
Retention time range:
0.70–24.08 min
Target audience:
Researchers in pharmacology and metabolomics
Language:
English
Document type:
Manuscript template
Intended use:
Scholarly article preparation
Structure elements:
Abstract, sections, subsections, figures, tables, references
Affiliation format:
Department, Institution, City, Country
Author information:
Author names and e-mail placeholder
Citation style:
Numbered references
Figure and table captions:
Included as placeholders
Content status:
Placeholder and sample text
Year:
2023
Region / City:
N/A
Subject:
Esophagogastric junction analysis, 4D HRM, FLIP, medical imaging
Document type:
Supplementary material
Institution:
N/A
Author:
N/A
Target audience:
Researchers in medical imaging and gastroenterology
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
2021
Region / city:
Ireland
Topic:
Drug-related deaths
Document type:
Report
Organization / institution:
Health Research Board (HRB)
Author:
Health Research Board (HRB)
Target audience:
General public, researchers, policymakers
Period of validity:
2021
Approval date:
Not specified
Date of changes:
Not specified
Year:
2026
Type of Document:
Template / Submission Guidelines
Organization:
Association for Computing Machinery (ACM)
Audience:
Authors submitting papers to ACM conferences or journals
Document Format:
MS Word, single-column
Sections Covered:
Abstract, CCS Concepts, Keywords, Figures, Tables, Math Equations
Instructions Included:
Style application, alt-text insertion, multi-part figures, submission process
Year:
2023
Region / City:
N/A
Subject:
Genetic differentiation, metabolic analysis
Document Type:
Research Supplement
Institution:
N/A
Author:
N/A
Target Audience:
Researchers in genetics and agriculture
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Document type:
Research data and analysis scripts
Related publication:
Air pollution and climate response to aerosol direct radiative effects: a modeling study of decadal trends across the Northern Hemisphere
Scientific field:
Atmospheric science
Topics:
Air pollution, aerosol radiative effects, climate response, decadal trends
Geographic scope:
Northern Hemisphere
Data formats:
NetCDF, text files
Software used:
NCAR Command Language (NCL)
Computing environment:
Sol system, /work and /asm file systems
Figures covered:
Figures 1–11, Figures S1–S2
Data storage locations:
/work/MOD3DEV, /asm2
Source type:
Supplementary research material
Provenance:
Model output and processed observational datasets
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
Year:
2023
Region / City:
Not specified
Topic:
Gene expression analysis, lupus nephritis, ferroptosis
Document Type:
Supplementary Material
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in genomics, immunology, and nephrology
Validity Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
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
Title:
Supplemental Tables and Figures for “Comparing the Interactions of Risk Factors by Method of Suicide Among Veterans: A Moderated Network Analysis Approach”
Subject:
Suicide risk factors among veterans
Population:
Veteran suicide decedents
Groups:
Self-inflicted gunshot (Gun group) and alternative methods (Non-Gun group)
Methodology:
Moderated network analysis
Statistical Measures:
Tetrachoric correlations; signed and weighted adjacency matrices; bootstrapped sampling distributions
Statistical Indicators:
Edge-weight parameters; pairwise associations; moderation effects; 95% confidence intervals; nonparametric bootstrapping (2000 samples)
Significance Levels:
***p < .001; **p < .01; *p < .05
Content Elements:
Table S1; Table S2; Figure S1; Figure S2
Variables:
SuiAtt; MHSUD; PhysH; RelPrbs; SDetH; Crisis; DepMd; DepRx; AlcTox; Opiate
Analytical Focus:
Differences in conditional network structures and edge-weight parameters by method of suicide
Year:
n/a
Region / City:
n/a
Subject:
n/a
Document Type:
Study Data
Organization / Institution:
n/a
Author:
n/a
Target Audience:
Researchers, Medical Professionals
Period of Validity:
n/a
Approval Date:
n/a
Modification Date:
n/a
Document type:
Supplementary material
Subject:
CT radiomics analysis of ground-glass nodules (GGNs)
Imaging modality:
Computed tomography (CT)
Slice thickness:
3 mm; 1 mm
Study groups:
Benign GGNs (n = 23); Malignant GGNs (n = 92); Adenocarcinoma group (n = 92; n = 54 for 1 mm CT)
Statistical methods:
Propensity score matching; Logistic regression model; LASSO algorithm; 10-fold cross-validation; ROC analysis; Intraclass correlation coefficient (ICC)
Matching ratio:
1:4
C-statistic:
0.7261
Matching method:
Greed matching within specified caliper distances
Distance metric:
0.7
Use of replacement:
With replacement
Feature categories:
Conventional indices; First order features; Second order features (GLCM, GLRLM, NGLDM, GLZLM)
Outcome measures:
AUC value; Rad-score; P-values for texture feature comparison
Section:
Supplementary Material
Content:
Supplementary Figures and Tables
Supplementary Tables:
3
Supplementary Figures:
12
Main Protein:
YojK
PDB code:
7VM0
Host strain:
Escherichia coli BL21(DE3)
Plasmids:
pET-21b(+), pACYCDuet-1
Genes:
YojK, AtSuSy
Compounds analyzed:
Reb A, Reb D
Analytical methods:
LC-MS, HRMS (ESI-), 1H NMR, 13C NMR, COSY, TOCSY, HSQC, HMBC, ROESY, SDS-PAGE
Study focus:
Glycosyltransferase mutagenesis, protein expression, enzymatic characterization, crystallographic analysis
Organisms referenced:
Bacillus subtilis 168, Oryza sativa, Stevia rebaudiana, Vitis vinifera, Streptomyces antibioticus, Solanum lycopersicum
Type of document:
Educational worksheet
Subject:
Chemistry
Topic:
Dimensional analysis and significant figures
Educational level:
Secondary education
Content elements:
Definitions, numerical exercises, unit conversions, rounding rules
Units of measurement:
Metric and customary units
Referenced constants:
1 mole Na = 23.0 g
Answer format requirements:
Correct units, significant figures, boxed answers