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Unlabelled: Transect surveys are widely used to quantify mismanaged plastic waste discarded to the environment. However, very few studies have quantified inter-observer reliability in environmental waste surveys. The aim of this study was to assess inter-observer reliability for a set of environmental waste indicators derived from transect surveys in slum areas of two sub-Saharan African cities. Pairs of observers independently recorded counts of scattered waste items, large waste piles, and burnt waste along 64 environmental transects in Kisumu, Kenya, and Greater Accra, Ghana. Concordance correlation coefficients were used to measure inter-observer reliability for derived indicators measuring mismanaged waste density, waste composition, waste origins of policy concern, and waste disposal practices. Evidence across all observers consistently showed that single-use disposable diapers, discarded Personal Protective Equipment, and bagged or bottled water are locally important constituents of mismanaged waste in both cities that should be addressed through urban waste management strategies. In both cities, there was generally excellent inter-observer reliability for density of burnt waste and density of large waste piles (concordance correlation coefficient > 0.9 for all but one observer pair), but weak to moderate inter-observer reliability for scattered waste density and densities of specific waste items such as disposable nappies and discarded Personal Protective Equipment. Our study shows that beach litter survey protocols can be adapted for use in slums. However, to generate robust estimates of scattered waste, its composition, and waste origins of policy concern in slums, assessment of inter-observer reliability should be incorporated into field team training.
Supplementary Information: The online version contains supplementary material available at 10.1007/s13762-024-05625-5.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11480156 | PMC |
http://dx.doi.org/10.1007/s13762-024-05625-5 | DOI Listing |
Acad Radiol
September 2025
In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.-C.K., S.-J.P.); Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan (S.-J.P.). Electronic address: sjpeng2
Rationale And Objectives: Computed tomography (CT) remains the primary modality for assessing renal tumors; however, tumor identification and segmentation rely heavily on manual interpretation by clinicians, which is time-consuming and subject to inter-observer variability. The heterogeneity of tumor appearance and indistinct margins further complicate accurate delineation, impacting histopathological classification, treatment planning, and prognostic assessment. There is a pressing clinical need for an automated segmentation tool to enhance diagnostic workflows and support clinical decision-making with results that are reliable, accurate, and reproducible.
View Article and Find Full Text PDFFront Bioeng Biotechnol
August 2025
Department of Orthopedics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Screw fixation is pivotal for prosthetic stability. For 3D-printed customized acetabular revision prostheses designed for complex, large-scale bone defects, precise adherence to preoperative screw trajectory planning is critical. However, there remains a lack of standardized three-dimensional (3D) evaluation protocols to quantify intraoperative screw angular alignment fidelity relative to preoperative digital plans, hindering universal validation criteria.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Obstetrics and Gynecology, Shanxi Medical University Second Hospital, Taiyuan, China.
Objective: Cervical cancer screening through cytology remains the gold standard for early detection, but manual analysis is time-consuming, labor-intensive, and prone to inter-observer variability. This study proposes an automated deep learning-based framework that integrates lesion detection, feature extraction, and classification to enhance the accuracy and efficiency of cytological diagnosis.
Materials And Methods: A dataset of 4,236 cervical cytology samples was collected from six medical centers, with lesion annotations categorized into six diagnostic classes (NILM, ASC-US, ASC-H, LSIL, HSIL, SCC).
Aging Med (Milton)
August 2025
Department of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.
Objectives: Mild traumatic brain injury (mTBI) in older patients is a common condition in neurosurgery, often linked to poor long-term outcomes, especially when accompanied by frailty. Sarcopenia contributes to this frailty and can be assessed through transverse imaging methods. This study aimed to assess the prognostic value of the masseter muscle cross-sectional area (MCSA) as determined from admission CT head scans in older patients with mTBI.
View Article and Find Full Text PDFKnee Surg Sports Traumatol Arthrosc
August 2025
Department of Orthopaedic Surgery & Trauma, Máxima Medical Centre, Eindhoven-Veldhoven, the Netherlands.
Purpose: This study aimed to determine the most reliable and precise method for measuring the buckling phenomenon of the posterior cruciate ligament (PCL) in skeletally immature patients on magnetic resonance imaging (MRI). The posterior cruciate ligament (PCL)-line sign, PCL angle (PCLA), PCL inclination angle (PCLIA) and PCL-posterior cortex angle (PCL-PCA) were considered. Secondary aims were to (1) compare PCL buckling between healthy and ACL-injured patients to establish a discrimination threshold, (2) assess its validity against other MRI parameters.
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