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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model.
Knee Surg Relat Res
January 2025
Bioengineering Laboratory, Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
Background: Unplanned readmission, a measure of surgical quality, occurs after 4.8% of primary total knee arthroplasties (TKA). Although the prediction of individualized readmission risk may inform appropriate preoperative interventions, current predictive models, such as the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator (SRC), have limited utility.
View Article and Find Full Text PDFProjections of Public Spending on Pharmaceuticals: A Review of Methods.
Pharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
View Article and Find Full Text PDFGrowth modeling of the European grayling (Thymallus thymallus L.) in a large alpine river based on age-at-length, mark-recapture, and length-frequency data.
J Fish Biol
January 2025
Aquatic Systems Biology Unit, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Animal growth is a fundamental component of population dynamics, which is closely tied to mortality, fecundity, and maturation. As a result, estimating growth often serves as the basis of population assessments. In fish, analysing growth typically involves fitting a growth model to age-at-length data derived from counting growth rings in calcified structures.
View Article and Find Full Text PDFSustained Tl(I) removal by α-MnO: Dual role of tunnel structure incorporation and surface catalytic oxidation.
J Hazard Mater
January 2025
Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400044, China.
Article Synopsis
- Manganese oxide-based filtration is an effective, cost-efficient method for removing thallium from engineered systems, although there are gaps in understanding its long-term effectiveness.
- α-MnO demonstrated a high potential for thallium removal, showing a significant increase in irreversible removal rates (81%-95%) over a 584-hour period under various conditions.
- The study reveals critical mechanisms, such as the oxidation of thallium, driven by surface Mn(III)-O interactions, highlighting how different environmental factors influence thallium binding and removal effectiveness in manganese oxide systems.
Rethinking primary particulate matter: Integrating filterable and condensable particulate matter in measurement and analysis.
Sci Total Environ
January 2025
Particle Pollution Research and Management Center, Incheon 21999, Republic of Korea; Department of Environmental Engineering, Inha University, Incheon 22212, Republic of Korea. Electronic address:
The current definition of primary particulate matter (PM) encompasses filterable PM (FPM) and condensable PM (CPM), which are evaluated using two distinct conventional measurement methods: cooling and dilution. While the cooling method exclusively considers the homogenous formation of CPM, the dilution method, closer to real-world conditions, neglects FPM characterization. To overcome this limitation, we propose a doubled-dilution system that enables the parallel characterization of both FPM and primary PM without diverting FPM from the CPM formation pathway.
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