Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 215, P. 108041 - 108041
Published: Dec. 9, 2024
Language: Английский
Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 461, P. 132566 - 132566
Published: Sept. 17, 2023
Language: Английский
Citations
52
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 364, P. 121440 - 121440
Published: June 13, 2024
Amid the urgent global imperatives concerning climate change and resource preservation, our research delves into critical domains of waste management environmental sustainability within European Union (EU), collecting data from 1990 to 2022. The Method Moments Quantile Regression (MMQR) results reveal a resounding commitment among EU member states diminish their reliance on incineration, which is evident through adopting green technologies environmentally conscious taxation policies, aligning with Union's objectives. However, this transition presents intricate task harmonizing industrial emissions efficient disposal. Tailoring strategies accommodate diverse consumption patterns unique circumstances individual becomes imperative. Cointegrating regressions highlighted long-run relationship selected variables, while Feasible Generalized Least Squares (FGLS) Panel-Corrected Standard Errors (PCSE) estimates roughly confirmed MMQR results. ML analyses, conducted two ensemble methods (Gradient Boosting, GB, Extreme Gradient XGBoost) shed light relative importance predictors: in particular, taxation, consumption-based emissions, production-based greatly contribute determining variation combustible renewables waste. This study recommends that countries establish monitoring mechanisms advance technology adoption, enhance accelerate renewable energy transition.
Language: Английский
Citations
28
International Journal of Environmental Science and Technology, Journal Year: 2024, Volume and Issue: 21(12), P. 8231 - 8260
Published: April 6, 2024
Language: Английский
Citations
18
Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26997 - e26997
Published: March 1, 2024
The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to notable increase waste generation. Consequently, extensive research focused on sustainable disposal methods handle used equipment safely. Given the necessity evaluate these considering qualitative and quantitative criteria, this falls within realm of multi-criteria decision-making (MCDM). This study introduces framework for selecting most suitable treatment methods, taking into account economic, technological, environmental, social aspects. Sixteen criteria were assessed using Fuzzy Preference Selection Index (F-PSI) determine optimal approach. Additionally, Compromise Ranking Alternatives from Distance Ideal Solution (F-CRADIS) method was employed nine technologies disposal. Notably, disinfection efficiency emerged as crucial criterion, with autoclaving identified preferred treatment. A practical case conducted Sivas, Turkey, validates feasibility strategies. Multiple sensitivity analyses performed ensure stability reliability proposed
Language: Английский
Citations
12
Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108465 - 108465
Published: May 3, 2024
The coronavirus pandemic significantly increased the use of essential medical supplies, resulting in a surge waste generation. This has spurred extensive research into sustainable disposal methods for safe and environmentally responsible equipment management. Addressing this multifaceted issue falls within domain multi-criteria decision-making. study presents comprehensive framework selecting optimal treatment methods, considering economic, technological, environmental, social factors. is first to address problem technology using Fuzzy Dombi Bonferroni. mean operator combine expert opinions, fuzzy preference selection index method evaluate criteria compromise ranking alternatives from distance ideal solution rank alternatives. According weightings, dimension holds highest significance at 0.3217. Disinfection efficiency ranks as most critical criterion, weighing 0.0823. autoclave rated top technique, with utility function value 5.4579. Sensitivity analyses ensured stability reliability models. adaptability applied model practices such energy conversion, material recycling, resource recovery represents an aspect policymaking assessment can guide policy formulation or improvement processes disposal.
Language: Английский
Citations
9
BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)
Published: Jan. 17, 2025
Climate change is a global challenge, caused by increasing greenhouse gas (GHG) emissions. Dental clinical practice contributes to these emissions through patient and staff travel, waste, energy water consumption procurement. Carbon footprinting quantifies GHG This study assessed the Footprint (CFP) of private dental clinics in Egypt. Data were collected from Alexandria Elbeheira, Northwestern Egypt July August 2024 interview questionnaires. A CFP calculator was used estimate carbon consumption, To determine average per clinic visit, all averaged, both with without considering depreciation equipment. 27 collected. The an Egyptian clinic, which, year, received 3,322 visits, where 5 personnel worked 279 days 14,426.8 kg CO2e, or 4.3 CO2e visit. largest contributor travel (45.6%), followed (19.6%), (18%), procurement (12.4%), waste (4.2%), (0.3%). After yearly equipment, year increased 12.2%. Private produce substantial Patient major CFP. While there high electricity zero. likely due improper segregation lack recycling. Country-specific calculators are needed accurately measure various settings. Preventing oral diseases, raising public awareness sustainable practices, promoting walking cycling, improving transportation, implementing recycling, shifting renewable sources energy, local manufacturing products important reduce clinics.
Language: Английский
Citations
1
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8
Published: Feb. 12, 2025
Modern technologies, particularly artificial intelligence, play a crucial role in improving medical waste management by developing intelligent systems that optimize the shortest routes for transport, from its generation to final disposal. Algorithms such as Q-learning and Deep Q Network enhance efficiency of transport disposal while reducing environmental pollution risks. In this study, intelligence algorithms were trained using Homogeneous agent with capacity 3 tons between hospitals within Closed Capacitated Vehicle Routing Problem framework. Integrating AI pathfinding techniques, especially hybrid A*-Deep approach, led advanced results despite initial challenges. K-means clustering was used divide into zones, allowing agents navigate paths Network. Analysis revealed agents’ not fully utilized. This application Fractional Knapsack dynamic programming maximize utilization achieving optimal routes. Since criteria compare algorithms’ effectiveness are number vehicles total vehicle capacity, it found DQN stands out requiring fewest (4), 0% loss metric matches value. Compared other require 5 or 7 vehicles, reduces fleet size 20 42.86%, respectively. Additionally, maximizes at 100%, unlike methods, which utilize only 33 66% capacity. However, improvement comes cost 9% increase distance, reflecting longer needed serve more per trip. Despite trade-off, algorithm’s ability minimize utilizing makes choice scenarios where these factors critical. approach improved performance but also enhanced sustainability, making most effective challenging solution among all study.
Language: Английский
Citations
1
Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 126 - 140
Published: May 29, 2024
This chapter explores the challenges and risks of hospital waste management, highlighting potential IoT bioelectronics to improve treatment disposal. The integration these technologies can revolutionize reducing environmental impact meeting regulatory requirements. monitor generation rates, segregation, disposal, simplifying operations human intervention. Bioelectronics enhances by sensing analyzing materials, detecting infections other hazards in medical for efficient processing. By improving disposal processes, systems meet requirements reduce health concerns. data management plans, but security, infrastructure integration, cost must be considered during installation. Future advancements artificial intelligence machine learning could enhance through predictive analytics optimization. In conclusion, have transform efficiency, sustainability, compliance. Further research, innovation, cooperation are needed fully utilize technologies.
Language: Английский
Citations
8
Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12
Published: June 12, 2024
Proper disposal of unwanted medicines, in addition to reducing wastage, has a positive impact on the environment and public health. Improper medications increases risk accidental poisonings, particularly among children. This study aimed assess level knowledge, attitudes, awareness regarding proper unused medicines Gondar city, northwest Ethiopia.
Language: Английский
Citations
4
Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 102912 - 102912
Published: Sept. 16, 2024
Language: Английский
Citations
4