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Article Abstract
In keeping with the focus on questionable research practices in 2025, this entry of the Methodology Corner calls attention to the practice of cherry picking. Studies subject to cherry picking have the potential to introduce inaccurate information into the nurse education literature. This column highlights a few recommendations our community might utilize to help dissuade the practice of cherry picking. .
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| http://dx.doi.org/10.3928/01484834-20250507-01 | DOI Listing |
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Cherry-Net: real-time segmentation algorithm of cherry maturity based on improved PIDNet.
Front Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.
Which Quotations to Use?: Guidance on Selecting and Reporting Quotations in Qualitative Research.
Int J Qual Methods
June 2025
The Center for International Development Cooperation, Korea Institute of Public Administration, Seoul, Republic of Korea.
Quotations serve multiple purposes in qualitative research, such as supporting claims, illustrating findings, explaining, impressing, and offering readers vicarious experiences. Despite their widespread use, there is limited guidance on how to select and report quotations, leading to potential issues of "cherry-picking" quotes that may not accurately represent the findings. This study aimed to fill this gap by establishing guiding principles for qualitative researchers.
View Article and Find Full Text PDFImage fraud in nuclear medicine research.
Eur J Nucl Med Mol Imaging
August 2025
Medical Imaging Center, Departments of Radiology, Nuclear Medicine, and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Purpose: To assess nuclear medicine researchers' experiences and attitudes toward image fraud, as well as their perspectives on preventive measures.
Methods: This survey targeted corresponding authors who published in three nuclear medicine journals between 2021 and 2024. Participants were asked about their experiences related to medical image fraud, as well as their views on its prevalence, causes, and potential preventive measures.
From Cherry Picking to R1vasc, Clusters and Compass Points: Evolution, Technique, and Results of Parenchymal-sparing One Stage Hepatectomy for Multiple Colorectal Liver Metastases.
Ann Surg
August 2025
Division of Hepatobiliary and General Surgery, Department of Surgery, IRCCS Humanitas Research Hospital, 20089 Rozzano, MI, Italy.
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Summary Background Data: For multiple bilobar CLM, two-stage hepatectomy (TSH) is suggested, with liver transplant proposed for unresectable cases. In this context, POSH showed effectiveness.
Large language model (LLM) research in musculoskeletal medicine is growing rapidly, but much of the literature remains methodologically weak and highly repetitive. To address this, the orthopaedic LLM research community needs a shared benchmarking infrastructure/framework to evaluate models on clinically grounded tasks using fixed-prompt templates and transparent scoring. Drawing on established LLM benchmarking practices, such a framework would enable reproducibility, discourage cherry-picking, and promote meaningful innovation.
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