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A novel approach towards multiattribute decision making using q-rung orthopair fuzzy Dombi-Archimedean aggregation operators.
Heliyon
March 2024
Department of Mathematics, Abbottabad University of Science and Technology, Abbottabad, Khyber Pakhtunkhwa, 22500, Pakistan.
When dealing with real-life problems, the q-rung orthopair fuzzy set is a core concept because the power of the membership and non-membership degrees is less than or equal to one. The process of selecting and evaluating alternatives based on several criteria or characteristics is known as multi-attribute decision-making (MADM) problems. The overview of the attribute values is a significant problem in MADM.
View Article and Find Full Text PDFOccupational anaphylaxis: A Position Paper of the German Society of Allergology and Clinical Immunology (DGAKI).
Allergol Select
November 2024
Department of Dermatology and Allergy Biederstein, School of Medicine and Health, Technical University of Munich TUM).
Background: Anaphylaxis is a systemic allergic reaction that is potentially life-threatening. Occupational anaphylaxis is an anaphylaxis that occurs in an occupational context. In this position paper, we propose diagnostic criteria for occupational anaphylaxis and provide an overview of the current state of knowledge in terms of prevalence, triggers, prevention, and management.
View Article and Find Full Text PDFOne of the key areas of research in ambiguous and inconsistent problems with decision-making is T-spherical multiple-attribute decision making (TP-FMADM). The TP-F number (TP-FN), which is an extension of the fuzzy number, an intuitionistic fuzzy number, and other fuzzy structures, may deal with problems involving a significant amount of incorrect, incomplete, and inconsistent data. Being an extension of various fuzzy structures, the TP-F sets (TP-FSs) provide decision-makers greater freedom to voice their actual opinions and offer a broader range of acceptable membership grades.
View Article and Find Full Text PDFDo wild-caught fly larvae cooperatively forage?
J Comp Physiol A Neuroethol Sens Neural Behav Physiol
November 2024
Department of Biology, University of Virginia, Charlottesville, VA, 22901, USA.
Animals often form organized cooperative foraging groups, where individual members must adhere to specific rules to maintain cohesiveness. These groups face the challenge of managing potential intruders, who may or may not assist in foraging. In semi-liquid food environments, Drosophila larvae learn to synchronize their movements into clusters, which are thought to make feeding more efficient.
View Article and Find Full Text PDFDeep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography.
Clin Neuroradiol
November 2024
Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Article Synopsis
- The study evaluates how the quality of computed tomography angiography (CTA) images, particularly those from Photon Counting Computed Tomography (PCCT), impacts the effectiveness of a deep learning (DL) algorithm in detecting large vessel occlusions (LVO) during acute ischemic stroke diagnostics.
- 443 cases were analyzed, including both positive and negative occlusion cases, and the DL software prototype's performance was assessed with sensitivity and specificity metrics.
- Results showed that the DL algorithm performed better with PCCT images compared to conventional CT images, achieving higher sensitivity for all occlusions and a marked improvement in identifying M2 occlusions, suggesting that improved image quality enhances detection capabilities but further research is necessary.
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