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What Can We Learn From Qualitative Impact Evaluations About the Effectiveness of Lobby and Advocacy? A Meta-Evaluation of Dutch aid Programmes and Assessment Tool.
Eval Rev
January 2025
Global Development Network, Lanzhou University and Director of Evaluation, New Delhi, India.
Official development agencies are increasingly supporting civil society lobby and advocacy (L&A) to address poverty and human rights. However, there are challenges in evaluating L&A. As programme objectives are often to change policies or practices in a single institution like a Government Ministry, L&A programmes are often not amenable to large-n impact evaluation methods.
View Article and Find Full Text PDFUsing phenomic selection to predict hybrid values with NIR spectra measured on the parental lines: proof of concept on maize.
Theor Appl Genet
January 2025
Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190, Gif-sur-Yvette, France.
Phenomic selection based on parental spectra can be used to predict GCA and SCA in a sparse factorial design. Prediction approaches such as genomic selection can be game changers in hybrid breeding. They allow predicting the genetic values of hybrids without the need for their physical production.
View Article and Find Full Text PDFExcessive Initial Renal Function Decline Following Sodium-Glucose Cotransporter-2 Inhibitor Treatment Predicts Major Adverse Cardiorenal Outcomes.
Mayo Clin Proc
January 2025
Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center For Intelligent Drug Systems and Smart Bio-devices (IDS(2)B) National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Electronic address:
Objective: To investigate how estimated glomerular filtration rate (eGFR) decline following sodium-glucose cotransporter-2 inhibitors (SGLT2i) initiation predicts long-term cardiorenal outcomes.
Methods: From 2016 to 2020, a longitudinal cohort of 4942 diabetic patients treated with SGLT2i were enrolled and followed until December 2021. Patients were categorized into mild (≤30%), moderate (>30%∼≤40%) and severe (>40%) decline groups by the maximal eGFR change between 2 to 12 weeks after SGLT2i treatment.
Parallel randomised trial testing community fibrosis assessment for suspected non-alcoholic fatty liver disease: outcomes from LOCATE-NAFLD.
BMJ Open Gastroenterol
December 2024
Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, Queensland, Australia
Objective: Non-alcoholic fatty liver disease (NAFLD) is estimated to affect a third of Australian adults, and its prevalence is predicted to rise, increasing the burden on the healthcare system. The LOCal Assessment and Triage Evaluation of Non-Alcoholic Fatty Liver Disease (LOCATE-NAFLD) trialled a community-based fibrosis assessment service using FibroScan to reduce the time to diagnosis of high-risk NAFLD and improve patient outcomes.
Methods: We conducted a 1:1 parallel randomised trial to compare two alternative models of care for NAFLD diagnosis and assessment.
COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.
J Comput Chem
January 2025
Pharmaceutical Chemistry Research Laboratory 1, Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.
Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.
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