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Einstein Hybrid Structure of q-Rung Orthopair Fuzzy Soft Set and Its Application for Diagnosis of Waterborne Infectious Disease

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1863-1892页

作者： Rana Muhammad Zulqarnain Hafiz Khalil ur Rehman Imran Siddique HijazAhmad Sameh Askar Shahid Hussain Gurmani School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China Department of Mathematics Government College UniversityFaisalabad38000Pakistan Department of Mathematics University of SargodhaSargodha40100Pakistan Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele IIRoma3900186Italy Near East University Operational Research Center in HealthcareNear East BoulevardNicosia/Mersin 1099138Turkey Department of Statistics and Operations Research College of ScienceKing Saud UniversityPO Box 2455Riyadh11451Saudi Arabia

This research is devoted to diagnosing water-borne infectious diseases caused by floods employing a novel diagnosis approach,the Einstein hybrid structure of q-rung orthopair fuzzy soft *** approach integrates parts of fuzzy logic and soft set theory to develop a robust alternative for disease detection in stressful situations,especially in areas affected by *** to the traditional intuitionistic fuzzy soft set and Pythagorean fuzzy soft set,the q-rung orthopair fuzzy soft set(q-ROFSS)adequately incorporates unclear and indeterminate *** major objective of this investigation is to formulate the q-rung orthopair fuzzy soft Einstein hybrid weighted average(q-ROFSEHWA)operator and its specific ***,our stated operator is implementing intelligentmulti-criteria group decision-making(MCGDM)*** are severe natural catastrophes that raise the risk of diseases and epidemics,particularly those caused by contaminants in the water,such as gastrointestinal diseases,respiratory infections,vector-borne diseases,skin infections,and water-borne *** designed MCGDM strategy tackles the prevalence of certain conditions in flood-affected patients.A comparative investigation determined that the suggested method for detecting water-borne infectious disease due to floods is more effective and productive than conventional methods because of its logical structure.

关键词： q-rung orthopair fuzzy soft set q-ROFSEHWA operator MCGDM environmental disaster water-born infection disease

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Analysis of per-and polyfluoroalkyl substances in Houston Ship Channel and Galveston Bay following a large-scale industrial fire using ion-mobility-spectrometry-mass spectrometry

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Journal of environmental Sciences 2022年第5期34卷 350-362页

作者： Alan Valdiviezo Noor AAly Yu-Syuan Luo Alexandra Cordova Gaston Casillas MaKayla Foster Erin SBaker Ivan Rusyn Interdisciplinary Faculty of Toxicology Texas A&M UniversityCollege StationTX 77843USA Department of Veterinary Integrative Biosciences Texas A&M UniversityCollege StationTX 77843USA Department of environmental and Occupational Health Texas A&M UniversityCollege StationTX 77843USA Department of Chemistry North Carolina State UniversityRaleighNC 27695USA

Per-and polyfluoroalkyl substances(PFAS)are persistent organic pollutants of concern be-cause of their ubiquitous presence in surface and ground water;analytical methods that can be used for rapid comprehensive exposure assessment and fingerprinting of PFAS are *** the fires at the Intercontinental Terminals Company(ITC)in Deer Park,TX in 2019,large quantities of PFAS-containing firefighting foams were *** release of these substances into the Houston Ship Channel/Galveston Bay(HSC/GB)prompted con-cerns over the extent and level of PFAS contamination.A targeted liquid chromatography-tandem mass spectrometry(LC-MS/MS)-based study of temporal and spatial patterns of PFAS associated with this incident revealed presence of 7 species;their levels gradually de-creased over a 6-month *** the targeted LC-MS/MS analysis was focused on about 30 PFAS molecules,it may have missed other PFAS compounds present in firefighting ***,we utilized untargeted LC-ion mobility spectrometry-mass spectrome-try(LC-IMS-MS)-based analytical approach for a more comprehensive characterization of PFAS in these water *** analyzed 31 samples from 9 sites in the HSC/GB that were collected over 5 months after the *** data showed that additional 19 PFAS were detected in surface water of HSC/GB,most of them decreased gradually after the *** features detected by LC-MS/MS correlated well in abundance with LC-IMS-MS data;however,LC-IMS-MS identified a number of additional PFAS,many known to be compo-nents of firefighting *** findings therefore illustrate that untargeted LC-IMS-MS improved our understanding of PFAS presence in complex environmental samples.

关键词： Emergency environmental disaster PFAS

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