Deep learning-based classification of alfalfa varieties: A comparative study using a custom leaf image dataset.

Deep learning has profoundly impacted agriculture by enhancing the accuracy and efficiency of plant classification tasks. In particular, advanced models have significantly improved the ability to classify various plant species based on their visual features. This study focuses on classifying alfalfa plant varieties using deep learning techniques.

Prioritizing Sustainable Denim Fabric through Integrated Decision-Making Framework.

In this study, a combined multi-criteria decision-making (MCDM) approach that integrates the logarithm methodology of additive weights (LMAW) and the double normalization-based multiple aggregation (DNMA) methods has been utilized to determine the optimal fabric structures considering the performance characteristics of denim fabrics containing recycled cotton. This approach focuses on sustainability and performance criteria, applying advanced decision-making methodologies to provide in-depth analysis and guidance for denim fabric selection. In this research, 15 distinct criteria were taken into account.

Evaluation of Prosthesis Satisfaction, Psychological Status, and Quality of Life in Lower-Extremity Amputee Patients: A Pilot Study.

Background: There are various factors affecting the use of prostheses. This study was aimed to examine satisfaction, psychological state, quality of life, and the factors affecting these in individuals who use prostheses because of lower-extremity amputation.

Methods: Sixty-three patients were included in this study.

The relation between number line performance and mathematics outcomes: Two meta-analyses.

Understanding the magnitudes represented by numerals is a core component of early mathematical development and is often assessed by accuracy in situating numerals and fractions on a number line. Performance on these measures is consistently related to performance in other mathematics domains, but the strength of these relations may be overestimated because general cognitive ability has not been fully controlled in prior studies. The first of two meta-analyses (162 studies, 33,101 participants) confirmed a relation between performance on whole number (r = 0.

Relative Contributions of and Basic Domain-Specific Mathematics Skills to Complex Mathematics Competencies.

Meta-analytic structural equation modeling was used to estimate the relative contributions of general cognitive ability or (defined by executive functions, short-term memory, and intelligence) and basic domain-specific mathematical abilities to performance in more complex mathematics domains. The domain-specific abilities included mathematics fluency (e.g.