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Defining quantitative rules for identifying influential researchers: Insights from mathematics domain.
Heliyon
May 2024
College of Computing & IT, University of Doha for Science and Technology, Doha, 122014, Qatar.
In the midst of a vast amount of scientific literature, the need for specific rules arise especially when it comes to deciding which impactful researchers should be nominated. These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc.
View Article and Find Full Text PDFDeciphering Temporal Metabolome Dynamics in Response to MYMV: Contrasting Patterns in Resistant and Susceptible Blackgram ( L. Hepper) Cultivars.
J Agric Food Chem
November 2024
National Pulse Research Centre, Vamban, Pudukkottai 622303, India.
Blackgram ( L. Hepper) production is hindered by mungbean yellow mosaic virus (MYMV) with disease incidence up to 85% in hot spot locations of Tamil Nadu, India. Field screening of 50 genotypes identified Mash 114 as resistant and CO 5 as susceptible cultivars.
View Article and Find Full Text PDFGenome-wide analysis of the SWEET gene family and its response to powdery mildew and leaf spot infection in the common oat (Avena sativa L.).
BMC Genomics
October 2024
Institute of Ecological Protection and Restoration, Grassland Research Center, Chinese Academy of Forestry, National Forestry and Grassland Administration, Beijing, 100091, China.
Article Synopsis
- Oats are affected by diseases like red leaf, powdery mildew, and leaf spot, which negatively impact their nutritional quality and yield.
- The study identifies 13 SWEET genes in oats, suggesting they play a role in plant growth and stress responses, particularly to biotic stress.
- Analysis shows that these SWEET proteins have strong familial ties to those in other grasses and indicates potential for using specific SWEET genes to enhance disease resistance in oats through molecular breeding.*
Oops, we missed a spot: Comparing data substitution methods for non-random missing survey data in a longitudinal study.
J Affect Disord
February 2025
Department of Psychiatry, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada.
Imputation methods for missing data may not always be applicable, namely, when the data were completely missing for the whole sample. To estimate the missing data, we compared three missing item substitution methods: (1) mean substitution; (2) last observation carried forward (LOCF); and (3) regression-predicted values. A total of 384 parents reported their 8- to 18-year-old children's anxiety level using the 9-item Screen for Child Anxiety Related Disorders at baseline (Time 1) and two later time points, drawing from a larger longitudinal study (Ontario COVID-19 and Kids' Mental Health Study).
View Article and Find Full Text PDFBDPapayaLeaf: A dataset of papaya leaf for disease detection, classification, and analysis.
Data Brief
December 2024
Daffodil International University, Savar, Dhaka 1340, Bangladesh.
Papaya is a popular vegetable and fruit in both developing and developed countries. Nonetheless, Bangladesh's agricultural landscape is significantly influenced by papaya cultivation. However, disease is a common impediment to papaya productivity, adversely affecting papaya quality and yield and leading to substantial economic losses for farmers.
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