3,932 research outputs found
Replication Data for: Reporting of academic degrees in high-impact medical journals
No full textWe identified the hundred highest impact medical journals based on impact factor reported in the Journal Citation Reports published in 2018. Characteristics of each journal in regard to specialty, impact factor, primary journal focus, continent, and open access policy were obtained. Data were collected on the presence of academic degrees following author names in the title page by assessment of multiple original research articles from each journal. Approximately ten articles published in July 2018 and August 2019 were assessed for each journal. If there was any discrepancy between the print and the online version, the print version was use. There were no discrepancies within journals for the two time periods
Replication Data for: Reporting of academic degrees in high-impact medical journals
No full textWe identified the hundred highest impact medical journals based on impact factor reported in the Journal Citation Reports published in 2018. Characteristics of each journal in regard to specialty, impact factor, primary journal focus, continent, and open access policy were obtained. Data were collected on the presence of academic degrees following author names in the title page by assessment of multiple original research articles from each journal. Approximately ten articles published in July 2018 and August 2019 were assessed for each journal. If there was any discrepancy between the print and the online version, the print version was use. There were no discrepancies within journals for the two time periods
Parameter-invariant detection of unknown inputs in networked systems
No full textThis work considers the problem of detecting unknown inputs in networked systems whose dynamics are governed by time-varying unknown parameters. We propose a strategy in opposition to the commonly employed approach of first estimating the unknown parameters and then using the estimates as the true parameter values for detection, e.g. maximum-likelihood approaches. The suggested detection scheme employs test statistics that are invariant to the unknown parameters and do not rely on parameter estimation. We specifically consider the case of severe lack of prior knowledge, i.e., the problem of detecting unknown inputs when nothing is known of the system but some primitive structural properties, namely that the system is a linear network, subject to Gaussian noise, and that a certain input signal is either present or not. The aim is thus to analyze the structure and performances of invariant tests in a limiting case, specifically where the amount of prior information is minimal. The developed test is proven to be maximally invariant to the unknown parameters and Uniformly Most Powerful Invariant (UMPI). Simulation results indicate that for arbitrary networked systems the parameterinvariant detector achieves a specified probability of false alarm while ensuring that the probability of detection is maximized. © 2013 IEEE
Radiochemical approach to the assessment of the environmental state of Kotor Bay (Montenegro)
No full text
Andrej Stankovič
No full textThis graduation thesis deals with the work of Andrej Stankovic, a Czech poet, publicist and a scholar (1940 ? 2001). In my paper, I focus on two main points: the analysis of Stankovic´s film-critical work, and consequently on the application of the basic elements of his critical tokens to some common models of ethical critique of a work of art
Relationbaserad försäljning inom fastighetsmäklarbranschen : En kvantitativ studie om kunders upplevelse av fastighetsmäklare och relationsbaserad försäljning, relationskvalité, säljeffektivitet samt lojalitet
No full textAbstract Title: Relationship-based selling within real estate agents: A quantitative Level: Student thesis, final assignment for bachelor’s degree in business economics. Author: Andrej Stankovic och Vilmer Olofsson Supervisor: Martin Ahlenius Datum: 2024 - May Purpose The purpose of this thesis is to investigate how individuals who have sold a property with the assistance of a real estate agent perceive the use of relationship-based selling and its dimensions, as well as to analyze how this behavior correlates with relationship quality, sales effectiveness, and customer loyalty. Method The study employs a deductive quantitative method to collect data via a survey. The survey was distributed to individuals who had recently sold a property with the help of a real estate agent. The data was analyzed using bivariate correlation analysis and network analysis to identify relationships between the variables. Results and discussion The results show that relationship-based selling has a strong positive impact on both customer loyalty and relationship quality. Relationship quality demonstrated strong correlations with all other measured topics. Real estate agents who use relationship-based selling are also perceived as more effective. Conclusion The conclusion of the study is that real estate agents who engage with customers' needs and build personal relationships are more successful in creating loyal customers and effective sales. This provides valuable insights for agents who wish to improve their customer relations and increase their sales efficiency. Thesis Contribution By deepening the understanding of how relationship-based selling impacts the real estate industry, this study offers practical recommendations for agents aiming to enhance their sales strategies and customer relationships. Suggestions for Further Research Further research in relationship-based selling is suggested to include home buyers where a real estate agent has facilitated the transaction to explore if perceptions differ. It is also recommended to expand the studies to different cultural and geographical contexts. Keywords: Relationship-based selling, relationship quality, sales efficiency, customer loyalty, real estate agents, long-term strateg
PLANiTS: a curated sequence reference dataset for plant ITS DNA metabarcoding
No full textDNA metabarcoding combines DNA barcoding with high-throughput sequencing to identify different taxa within environmental communities. The ITS has already been proposed and widely used as universal barcode marker for plants, but a comprehensive, updated and accurate reference dataset of plant ITS sequences has not been available so far. Here, we constructed reference datasets of Viridiplantae ITS1, ITS2 and entire ITS sequences including both Chlorophyta and Streptophyta. The sequences were retrieved from NCBI, and the ITS region was extracted. The sequences underwent identity check to remove misidentified records and were clustered at 99% identity to reduce redundancy and computational effort. For this step, we developed a script called 'better clustering for QIIME' (bc4q) to ensure that the representative sequences are chosen according to the composition of the cluster at a different taxonomic level. The three datasets obtained with the bc4q script are PLANiTS1 (100 224 sequences), PLANiTS2 (96 771 sequences) and PLANiTS (97 550 sequences), and all are pre-formatted for QIIME, being this the most used bioinformatic pipeline for metabarcoding analysis. Being curated and updated reference databases, PLANiTS1, PLANiTS2 and PLANiTS are proposed as a reliable, pivotal first step for a general standardization of plant DNA metabarcoding studies. The bc4q script is presented as a new tool useful in each research dealing with sequences clustering. Database URL: https://github.com/apallavicini/bc4q; https://github.com/apallavicini/PLANiTS
Relationbaserad försäljning inom fastighetsmäklarbranschen : En kvantitativ studie om kunders upplevelse av fastighetsmäklare och relationsbaserad försäljning, relationskvalité, säljeffektivitet samt lojalitet
No full textAbstract Title: Relationship-based selling within real estate agents: A quantitative Level: Student thesis, final assignment for bachelor’s degree in business economics. Author: Andrej Stankovic och Vilmer Olofsson Supervisor: Martin Ahlenius Datum: 2024 - May Purpose The purpose of this thesis is to investigate how individuals who have sold a property with the assistance of a real estate agent perceive the use of relationship-based selling and its dimensions, as well as to analyze how this behavior correlates with relationship quality, sales effectiveness, and customer loyalty. Method The study employs a deductive quantitative method to collect data via a survey. The survey was distributed to individuals who had recently sold a property with the help of a real estate agent. The data was analyzed using bivariate correlation analysis and network analysis to identify relationships between the variables. Results and discussion The results show that relationship-based selling has a strong positive impact on both customer loyalty and relationship quality. Relationship quality demonstrated strong correlations with all other measured topics. Real estate agents who use relationship-based selling are also perceived as more effective. Conclusion The conclusion of the study is that real estate agents who engage with customers' needs and build personal relationships are more successful in creating loyal customers and effective sales. This provides valuable insights for agents who wish to improve their customer relations and increase their sales efficiency. Thesis Contribution By deepening the understanding of how relationship-based selling impacts the real estate industry, this study offers practical recommendations for agents aiming to enhance their sales strategies and customer relationships. Suggestions for Further Research Further research in relationship-based selling is suggested to include home buyers where a real estate agent has facilitated the transaction to explore if perceptions differ. It is also recommended to expand the studies to different cultural and geographical contexts. Keywords: Relationship-based selling, relationship quality, sales efficiency, customer loyalty, real estate agents, long-term strateg
Clinical application of thiopurine pharmacogenomics in pediatrics
No full textBackground: Thiopurine drugs are used for the treatment of pediatric diseases. Inter-individual differences in the metabolism of these drugs greatly influence the risk of thiopurine induced toxicity and therapy failure. These differences are the consequence of genomic, epigenomic and transcriptomic variability among patients. Phar-macogenomics aims to individualize therapy according to the specific genetic signature of a patient. Treatment pro-tocols based on thiopurine drugs have already been improved by applying pharmacogenomics in pediatric clinical practice. Objective: The aim of this review was to summarize the application of thiopurine pharmacogenomics in pediatric patients suffering from acute leukemias, different types of autoimmune and inflammatory diseases, as well as in post-transplant care. Methods: We searched PubMed/Medline database to identify thiopurine pharmacogenomic markers clinically relevant in pediatric diseases. Results: TPMT and NUDT15 pharmacogenomic testing is done in pediatric care, contributing to the reduction of thiopurine induced toxicity. Data on numerous novel potential pharmacogenomic markers relevant for optimization of thiopurine treatment are still controversial (ITPA, ABCC4, NT5C2, PRPS1, GSTM1, FTO gene variants). Majority of evidences regarding thiopurine pharmacogenomics in pediatrics have been acquired by studying acute lym-phoblastic leukemia and inflammatory bowel disease. For other pediatric diseases, namely acute myeloid leukemia, non-Hodgkin lymphoma, juvenile idiopathic arthritis, atopic dermatitis, juvenile autoimmune hepatitis and renal allograft transplantation, data are still scarce. Conclusion: Thiopurine pharmacogenomics has shown to be one of the best examples of successful application of pharmacogenomics in pediatrics
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