Responsive regulation asserts that regulatory enforcement actions are likely to be more effective in promoting compliance when they respond to a duty holder's motives, capabilities, and external pressures. However, operationalizing responsive approaches that also possess qualities of consistency and transparency remains a challenge for environmental management authorities. This study applied a mixed-method qualitative approach to capture the responsive decision making influences on government environment protection officers in a field context when engaging with different duty holders. These insights then informed compliance narratives across a series of business behavior segments to guide more consistent, transparent and responsive decision making among environment protection officers. Our findings revealed how different constellations of observations, interactions and displays of willingness and ability impact the choice of regulatory responses. Challenges encountered in applying responsive regulation in practice involved difficulties ascertaining business capability, identifying causal links between response strategies and compliance outcomes, and how the use of discretion can impact on consistent and transparent decision making.
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http://dx.doi.org/10.1016/j.jenvman.2020.110336 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
J Assist Reprod Genet
January 2025
The University of Texas Medical Branch at Galveston, Institute for Bioethics and Health Humanities, School of Public and Population Health, Galveston, TX, USA.
Egg donation is a procedure that is powerfully advertised as a beneficial experience with limited mention of the associated risks. Egg donor recruitment advertisements target young and financially insecure women and can serve as a catalyst for interest in egg donation. In the absence of explicit egg donation advertisement regulations and without counterbalancing information from other sources, potential donors may not be able to recognize how advertisements can be misleading.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFSci Rep
January 2025
College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China.
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customization. Our study aims to devise proper deep learning (DL) models that incorporate key factors influencing surgical outcomes on the coronal plane in AIS patients to facilitate surgical decision-making and predict surgical results for AIS patients.
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