Suggested Topics within your search.
Suggested Topics within your search.
-
1061
Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design
Published 2024-09-01“…To this end, we used a historical blueberry (Vaccinium corymbosun L.) breeding dataset containing more than 3000 individuals, genotyped using probe‐based target sequencing and phenotyped for three fruit quality traits over several years. Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data‐driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long‐term implication, we carried out a simulation study and emphasized that data‐driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. …”
Get full text
Article -
1062
-
1063
Who participates in 'participatory design' of WASH infrastructure: A mixed-methods process evaluation.
Published 2025-01-01Get full text
Article -
1064
Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation
Published 2025-05-01“…MethodsObservation of technology use within the organization was conducted over a 16-week period. …”
Get full text
Article -
1065
A comparison of statistical methods for deriving occupancy estimates from machine learning outputs
Published 2025-04-01“…These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarely compared. …”
Get full text
Article -
1066
-
1067
Towards a more transparent HTA process in Poland: new Polish HTA methodological guidelines
Published 2017-01-01Get full text
Article -
1068
-
1069
Development and validation of an adolescent health literacy scale in Ethiopia: A mixed methods approach.
Published 2025-01-01“…This study, therefore, aims to develop and validate an adolescent HL scale tailored to the socio-cultural context of Ethiopia, to support measurement and intervention efforts.<h4>Methods</h4>This study employed a mixed methods approach, conducted in three stages between March 09, 2023 and January 25, 2024. …”
Get full text
Article -
1070
The investigation of reinforcement learning-based end-to-end decision-making algorithms for autonomous driving on the road with consecutive sharp turns
Published 2025-06-01“…Learning-based algorithm attracts great attention in the autonomous driving control field, especially for decision-making, to meet the challenge in long-tail extreme scenarios, where traditional methods demonstrate poor adaptability even with a significant effort. …”
Get full text
Article -
1071
-
1072
Use of transportability methods for real-world evidence generation: a review of current applications
Published 2024-10-01Article -
1073
Estimation of soil temperature for agricultural applications in South Africa using machine-learning methods
Published 2025-05-01Get full text
Article -
1074
The Experiences and Needs of Carers During Mental Health Crises: A Mixed-Methods Study
Published 2019-09-01Get full text
Article -
1075
Forecasting of commercial egg production in turkey with box-jenkins and winters exponential smoothing methods
“…<p> <b>Conclusion:</b> According to multiplicative Winter's exponential smoothing method, it is predicted that commercial egg production will increase 3.27% in 2018, 7.69% in 2019 based on the year 2017. …”
Get full text
Article -
1076
Admissible interval-valued monotone comparative statics methods applied in games with strategic complements
Published 2025-02-01Get full text
Article -
1077
-
1078
Numerical methods for option valuation: A bibliometric review of current trends to future directions
Published 2025-01-01Get full text
Article -
1079
Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study
Published 2025-06-01“…ObjectiveThis study sought to explore how the general public’s views and sentiments regarding LLMs, using OpenAI’s ChatGPT as an example, differ from those of academic researchers and experts in the field, with the goal of gaining a more comprehensive understanding of the future role of LLMs in health care. MethodsWe used a hybrid sentiment analysis approach, integrating the Syuzhet package in R (R Core Team) with GPT-3.5, achieving an 84% accuracy rate in sentiment classification. …”
Get full text
Article -
1080
Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods
Published 2025-04-01Get full text
Article