Some species of cover crops produce phenolic compounds with allelopathic potential. The use of math, statistical and computational tools to analyze data obtained with spectrophotometry can assist in the chemical profile discrimination to choose which species and cultivation are the best for weed management purposes. The aim of this study was to perform exploratory and discriminant analysis using R package specmine on the phenolic profile of L., L. and L. shoots obtained by UV-vis scanning spectrophotometry. Plants were collected at 60, 80 and 100 days after sowing and at 15 and 30 days after rolling in experiment in Brazil. Exploratory and discriminant analysis, namely principal component analysis, hierarchical clustering analysis, -test, fold-change, analysis of variance and supervised machine learning analysis were performed. Results showed a stronger tendency to cluster phenolic profiles according to plant species rather than crop management system, period of sampling or plant phenologic stage. PCA analysis showed a strong distinction of L. and L. 30 days after rolling. Due to the fast analysis and friendly use, the R package specmine can be recommended as a supporting tool to exploratory and discriminatory analysis of multivariate data.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573236 | PMC |
| http://dx.doi.org/10.1515/jib-2019-0056 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of the Stigma of Mental Illness: A Descriptive Exploratory Study of Outpatients in a Public Mental Health Hospital in Ghana.
J Community Psychol
January 2025
Department of Health Information Science, Western University, London, Ontario, Canada.
Despite ongoing efforts, persons with mental illness (PWMI) continue to experience stigma and discrimination and with profound negative outcomes. This study examined the psychological and social impact of the stigma attached to mental illness as experienced by out-patients at a public mental health facility. We applied a descriptive exploratory method using a semi-structured interview guide to elicit subjective responses from 12 Outpatient Department members.
View Article and Find Full Text PDFFreshness in Salmon by Hand-Held Devices: Methods in Feature Selection and Data Fusion for Spectroscopy.
ACS Food Sci Technol
December 2024
National Measurement Laboratory: Centre of Excellence in Agriculture and Food Integrity, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K.
Salmon fillet was analyzed via hand-held optical devices: fluorescence (@340 nm) and absorption spectroscopy across the visible and near-infrared (NIR) range (400-1900 nm). Spectroscopic measurements were benchmarked with nucleotide assays and potentiometry in an exploratory set of experiments over 11 days, with changes to spectral profiles noted. A second enlarged spectroscopic data set, over a 17 day period, was then acquired, and fillet freshness was classified ±1 day via four machine learning (ML) algorithms: linear discriminant analysis, Gaussian naïve, weighted -nearest neighbors, and an ensemble bagged tree method.
View Article and Find Full Text PDFDevelopment and preliminary validation of the Dietary Self-management Behavior Questionnaire (DSMBQ) for breast cancer patients during chemotherapy: three rounds of survey.
BMC Public Health
December 2024
Department of Health Statistics, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Background: Adverse effects during chemotherapy severely impact the daily diet of breast cancer (BC) patients. Engaging in dietary self-management is crucial for healthy lifestyle and recovery. This study aims to create the Dietary Self-management Behavior Questionnaire (DSMBQ) and preliminarily validate its reliability, validity, and discriminative ability for BC patients undergoing chemotherapy.
View Article and Find Full Text PDFPsychometric assessment of the persian version of the study anxiety questionnaire in medical sciences students.
BMC Med Educ
December 2024
Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.
Background: This study aimed to evaluate the psychometric properties of the Persian version of the Study Anxiety Questionnaire (SAQ).
Methods: This methodological study was conducted in 2024 among 380 medical sciences students at Shahroud University of Medical Sciences, Iran. The face and content validity of the questionnaire were assessed using both quantitative and qualitative approaches following a forward-backward translation process.
Initial Validation of the Mandarin Translation of the Stanford Social Dimensions Scale (SSDS).
J Autism Dev Disord
December 2024
Aspect Research Centre for Autism Practice, Autism Spectrum Australia, Level 5, Tower B, The Zenith, 821 Pacific Highway, Chatswood, NSW, 2067, Australia.
This study aimed to validate the Mandarin translation of the Stanford Social Dimensions Scale (SSDS). The initial validation sample consisted of 480 children with Autism Spectrum Disorder (ASD) (M = 9.35).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!