ABSTRACT
The use of emergency departments (EDs) has increased during the COVID-19 outbreak, thereby evidencing the key role of these units in the overall response of healthcare systems to the current pandemic scenario. Nevertheless, several disruptions have emerged in the practical scenario including low throughput, overcrowding, and extended waiting times. Therefore, there is a need to develop strategies for upgrading the response of these units against the current pandemic. Given the above, this paper presents a hybrid fuzzy multicriteria decision-making model (MCDM) to evaluate the performance of EDs and create focused improvement interventions. First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique is used to estimate the relative priorities of criteria and sub-criteria considering uncertainty. Then, the intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) is employed to calculate the interdependence and feedback between criteria and sub-criteria under uncertainty, Finally, the combined compromise solution (CoCoSo) is implemented to rank the EDs and detect their weaknesses to device suitable improvement plans. The aforementioned methodology was validated in three emergency centers in Turkey. The results revealed that the most important criterion in ED performance was ER facilities (14.4%), while Procedures and protocols evidenced the highest positive D + R value (18.239) among the dispatchers and is therefore deemed as the main generator within the performance network.
Subject(s)
COVID-19 , Decision Making , Humans , Fuzzy Logic , Uncertainty , TurkeyABSTRACT
The suppression of cytokine storm in severe coronavirus disease 2019 (COVID-19) patients can be treated with monoclonal antibody therapy against CD3 for T cell receptor inhibition. An optimized liquid phase as a CD3 antibody-magnetic nanoparticle (Ab-MNP) conjugate can inhibit the overactivation of T cells. We aim to ana-lyze the distribution of Fe in the spleen after acute administration of silica-conjugated amine magnetite (Fe3O4) nanoparticles (35 nm) delivered by intravenous injection. The Fe element distribution and concentration levels in spleen tissue were analyzed using energy dispersive spectroscopy (EDS) and inductively coupled plasma-mass spectrometry (ICP-MS). The experimental result is a difference in the concentration of Fe elements, which was 1.89×103 mg/kg in the spleen of a control mouse not administered with MNPs, whereas increases sig-nificantly to 1.93×103 mg/kg in that of a mouse administered with MNPs. Further, time kinetic analysis of bio-chemical and immunological parameters is required to confirm its suitability in bio-administration. © 2022 Journal of Magnetics.
ABSTRACT
COVID-19, a global pandemic has been ravaging the world. The Emergency departments are flooded because of this global pandemic. To provide a good service in the Emergency Departments (ED) in hospitals as a part of smart healthcare, tools that analyze, program, plan or prioritize is required to use the available resources (staff and treatment equipment) in a fine possible way. In this paper, the various queuing methods that are implemented to tackle the patient flow in EDs as well as outpatient departments in the already existing systems are surveyed, and a method is suggested. The previous papers have taken queuing theory into account. Here three different regression techniques namely Linear regression, polynomial regression, and support vector regression are considered for the prediction of the patient flow in Emergency Departments. The hazardous COVID-19 pandemic and its impact on the mounting crisis in the EDs is also discussed. The challenges and suggestive methods are also discussed here. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Esophagitis dissecans superficialis (EDS) is an uncommon disease characterized by esophageal mucosal sloughing. EDS is a benign condition that usually resolves without residual pathology. Medication, chemical irritants, hot drinks, and autoimmune diseases have all been associated with EDS. Here a 60-year-old lady with post-COVID-19 EDS is presented. Her chief complaint was dysphagia and odynophagia for 2 weeks duration. EDS diagnosis was based on endoscopic findings and biopsy. Her problem was improved by a high dose of pantoprazole.
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INTRODUCTION: Personality differences have been demonstrated to influence an individual's academic performance in different ways. Notably, conscientiousness is the most consistent significant predictor of academic performance, while neuroticism shows inconsistent results. OBJECTIVES: This study aimed to determine the relationship between the facets of conscientiousness and neuroticism on academic motivation. METHOD: The study was conducted in Australia and consisted of 285 undergraduate students. The International Personality Item Pool and Motivated Strategies Learning Questionnaire were used to measure personality and motivation, respectively. Structural equation modeling results revealed that conscientiousness had the most significant relationship with academic motivation, while neuroticism was negatively related. The conscientious facets of self-efficacy and achievement striving were positively related to academic motivation. The results also revealed that the anxiety facet of neuroticism was the only significant positive predictor for academic motivation, while depression and vulnerability were negatively related. CONCLUSION: This study reveals how personality facets contribute to academic motivation over assessing grades and superordinate factors alone. Trait-level anxiety significantly contributes to academic motivation, helping us shed light on underlying mechanisms such as defensive pessimism, resulting in higher motivation due to fearing the worst.