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Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach.
Sci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
View Article and Find Full Text PDFEarly prediction of post-pancreatectomy acute pancreatitis after pancreaticoduodenectomy based on serum C-reactive protein.
Pancreatology
January 2025
Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
Background: Post-pancreatectomy acute pancreatitis (PPAP) is an early acute inflammatory process of the pancreatic remnant that is associated with a series of downstream pancreas-specific complications. This study aimed to investigate the relationship between postoperative serum C-reactive protein (CRP) levels and the occurrence of PPAP after pancreaticoduodenectomy (PD).
Methods: Consecutive patients who underwent PD between January 1, 2020, and May 31, 2022, were retrospectively analyzed.
Robust near-infrared modeling for pharmaceutical powder streams: External variable augmented iterative optimization technology (EVA-IOT).
Eur J Pharm Biopharm
January 2025
Duquesne University Graduate School for Pharmaceutical Sciences, Pittsburgh, PA 15282, United States; Duquesne Center for Pharmaceutical Technology, Duquesne University, Pittsburgh, PA 15282, United States. Electronic address:
The adoption of pure component models, such as iterative optimization technology (IOT) algorithms, is gaining significant interest in the pharmaceutical industry, primarily because of their calibration-free/minimal calibration requirements for process analytical technology applications. The IOT methods have recently demonstrated great potential for monitoring the quality of continuous powder mixtures by Near-infrared (NIR) spectroscopy. However, the dynamic conditions of continuous manufacturing processes may limit the effectiveness of such approaches.
View Article and Find Full Text PDFA Mobile Health Intervention to Support Collaborative Decision-Making in Mental Health Care: Development and Usability.
JMIR Form Res
January 2025
Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges.
View Article and Find Full Text PDFIntroduction: The prevalence of epilepsy in sub-Saharan Africa varies considerably, and the exact estimate for Ghana remains unclear, particularly in peri-urban areas where data are scarce. More community-based studies are required to understand better the actual burden of epilepsy in these areas and the difficulties in accessing healthcare.
Objective: To adapt and validate a household survey epilepsy-screening instrument in Shai-Osudoku and Ningo-Prampram District of Greater Accra Region, Ghana.
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