Brand Image, Satisfaction, and Brand Loyalty - How Effective Are They in the Automotive Industry Market Share

The study analyzes the influence of satisfaction, image, and loyalty on market share within the automotive industry by using real market data to capture market share of the car brands within the study. The results of the study confirm that automobile companies, which operate in a very competitive and dynamic environment need to ensure customer satisfaction and positive brand image, that collectively affect customer loyalty to keep sustainable growth. Keywords: brand image, brand loyalty, market share, satisfactio

Level Up Your Sneaker Game : Applying machine learning techniques to support data-driven investment decisions in the sneaker resale market

Sneaker resale has become a worldwide phenomenon. The resale market is growing, expected to potentially reach up to $30 bn by 2030. More and more people want to take part in making fortunes out of shifting high valued Nike SB sneakers, rare Air Jordans or eccentric Yeezys. Notably, traditional customer roles are changing: consumers are no longer only buying sneakers for wearing them themselves, but are also engaging in resale activities. Additionally, new market participants are entering the game with the sole aim of making profits as large as possible from buying and then reselling brand new shoes. The purpose of this thesis is to provide insight into how machine learning methods can support data-driven investment decisions in the sneaker resale market. Two different reseller personas will be introduced, together with a description of scenarios and questions these might encounter. Using data from StockX.com, the leading marketplace for sneaker resale, various machine learning techniques will be applied to arrive at founded investment decision for these two personas. To meet the needs of the different personas, this thesis makes use of both simpler methods, such as linear and logistic regression as well as KNN and regression trees, and more complex methods such as Random Forest and XGBoost models. The authors chose a practical approach with the analysis of different scenarios, aiming to allow sneakerheads, who engage in and are hence interested in information on resale markets, to profit from the insights. The research shows that both simple and complex methods can be useful in these decisions, reaching high accuracy values as well as oftentimes good predictions. It also shows that the sneaker resale price is influenced by a myriad of factors, and that especially celebrity collaborations seem to have high influence on resale value of sneakers

Ossicular chain reconstruction: endoscopic or microscopic?

Objectiv

Assessment of Turkish oncology nurses' knowledge regarding COVID-19 during the current outbreak in Turkey

Purpose To assess Turkish oncology nurses' knowledge regarding novel coronavirus (COVID-19) during the current outbreak in Turkey. Methods This descriptive study was carried out with the 185 oncology nurses between April and May 2020 in Turkey. Research data were collected through online survey using "Nurse Information Form" and "Nurse Information Scale for COVID-19." Multilinear regression analysis was used in determining the factors affecting oncology nurses' information regarding COVID-19. Results According to the data delivered from 185 oncology nurses, 57.7% of the participants had an undergraduate degree, 74.1% were working in adult oncology units, and 52.4% of them were working as clinical nurses, 48.1% of the nurses received education for COVID-19 (51.9% did not receive) and 70.3% followed and read the COVID-19 Guidelines published by the Ministry of Health (29.7% did not follow guidelines). Using multiple regression analysis, a model based on the relationship between the variables was created. In the model, the descriptive characteristics of the oncology nurses and their experiences of COVID-19 were found to explain 29.1% of their knowledge level for COVID-19. Nurses' education level, the presence of a relative diagnosed with COVID-19, and following the COVID-19 guidelines were found to statistically significantly affect the knowledge levels of COVID-19. Conclusion These findings suggest that hospital management and the Ministry of Health should provide more information for the oncology nurses to better control of cancer patients from the infectious disease

Multimodality imaging of a rare type of coronary cameral fistula

Coronary artery fistulas are defined as abnormal vascular connections between one or more coronary arteries and the cardiac chamber [coronary cameral fistula (CCF)] or a great thoracic vessel. Here, we present multimodality imaging findings of a rare case with CCF between the sinoatrial nodal artery and the left atrium. Keywords: Coronary cameral fistula, Left atrium, Sinoatrial nodal arter

Comparison of Vesikari and Clark scales regarding the definition of severe rotavirus gastroenteritis in children

WOS: 000354612900009PubMed ID: 25715939Background: Two clinical severity scales, the Vesikari scale and the Clark scale, are commonly used to assess the efficacy of rotavirus vaccines. The results obtained using the two severity scales differ significantly and hamper comparisons. The aim of this study was to compare the Clark and Vesikari scales and to determine whether modified classifications would provide a better correlation between the two scales. Methods: The severity of rotavirus gastroenteritis was assessed for each child using both the Vesikari and Clark scales. To make a statistical comparison between the two scales, the classifications were modified. Results: In total, 200 children with rotavirus gastroenteritis were evaluated. Of these, 57% were classified as severe by the Vesikari scale, and only 1.5% by the Clark scale (p = 16), provided a better correlation between the two severity scales, but still did not achieve a good level of agreement. Conclusions: The Clark and Vesikari scales differ significantly in the definition of severe gastroenteritis. Even the attempts at reclassifying the scales did not achieve a good correlation

Beneficial effects of curcumin and capsaicin on cyclophosphamide-induced premature ovarian failure in a rat model

Abstract Background In recent years, cancer rates have been rising among reproductive-age women. Thus, chemotherapy exposure has become an important cause of premature ovarian failure (POF). There has been growing interest regarding the preservation and restoration of ovarian function before and after oncological treatment because of the reproductive risk of chemotherapeutics and improved long-term survival of cancer patients. In this study, we sought to analyze the effects of curcumin (CRC) and capsaicin (CPS) on cyclophosphamide-induced POF in a rat model. Methods POF in rats was induced by intraperitoneal injection of 200 mg/kg cyclophosphamide on day 1 and then 8 mg/kg/day for the following 14 days. After 14 days of cyclophosphamide administration, rats were randomly divided into three groups as follows (n = 10/group): POF, POF + CRC (100 mg/kg/day), and POF + CPS (0.5 mg/kg/day) to determine the effects of CRC and CPS on the cyclophosphamide-induced POF rat model. Biochemical, hormonal, and histopathological evaluations were performed on blood and tissue samples 14 days after the CRC and CPS treatments. Results Malonaldehyde levels were significantly reduced, and glutathione levels and superoxide dismutase activity were significantly increased, in ovarian tissues in the POF + CRC and POF + CPS groups compared with the POF group. In the POF group, we observed hemorrhage and prominent mononuclear cell infiltration beneath the germinative epithelium, vascular congestion in ovarian stroma, hemorrhage around the corpus luteum, and atresia in ovarian follicles. This histopathological damage was significantly improved by treatment with CRC and CPS. There was a significant reduction in serum follicle-stimulating hormone and luteinizing hormone levels in rats treated with CRC and CPS compared with the POF group. Moreover, the levels of estradiol and anti-mullerian hormone in rats treated with CRC and CPS were significantly increased compared with the control group. Conclusions In conclusion, CRC and CPS treatment of rats with cyclophosphamide-induced POF had a beneficial effect on reducing ovarian damage by improving tissue oxidative stress marker levels, ovarian reserve marker levels, and histopathological parameters. The significant improvements in ovarian tissue histopathological damage and hormonal levels detected in this study indicate that treatment with CRC or CPS might be a conservative treatment approach for cyclophosphamide-induced POF