scholarly journals A Novel Approach for Protection of Accounts’ Names against Hackers Combining Cluster Analysis and Chaotic Theory

2018 ◽  
Vol 6 (2) ◽  
pp. 579-587
Author(s):  
Desislav Andreev ◽  
Simona Petrakieva ◽  
Ina Taralova
Keyword(s):  
Cluster Analysis ◽  
Novel Approach ◽  
Chaotic Theory

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

scholarly journals Office representatives for cost-optimal energy retrofitting analysis: A novel approach using cluster analysis of energy performance certificate databases

2020 ◽  
Vol 206 ◽  
pp. 109557 ◽  
Author(s):  
Marta Gangolells ◽  
Miquel Casals ◽  
Jaume Ferré-Bigorra ◽  
Núria Forcada ◽  
Marcel Macarulla ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Energy Performance ◽  
Optimal Energy ◽  
Novel Approach

scholarly journals Novel approach to classifying patients with pulmonary arterial hypertension using cluster analysis

2017 ◽  
Vol 7 (2) ◽  
pp. 486-493 ◽  
Author(s):  
Kishan S. Parikh ◽  
Youlan Rao ◽  
Tariq Ahmad ◽  
Kai Shen ◽  
G. Michael Felker ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Patient Characteristics ◽  
Functional Class ◽  
Walking Distance ◽  
P Value ◽  
Novel Approach ◽  
Treatment Naïve ◽  
Pulmonary Arterial

Pulmonary arterial hypertension (PAH) patients have distinct disease courses and responses to treatment, but current diagnostic and treatment schemes provide limited insight. We aimed to see if cluster analysis could distinguish clinical phenotypes in PAH. An unbiased cluster analysis was performed on 17 baseline clinical variables of PAH patients from the FREEDOM-M, FREEDOM-C, and FREEDOM-C2 randomized trials of oral treprostinil versus placebo. Participants were either treatment-naïve (FREEDOM-M) or on background therapy (FREEDOM-C, FREEDOM-C2). We tested for association of clusters with outcomes and interaction with respect to treatment. Primary outcome was 6-minute walking distance (6MWD) change. We included 966 participants with 12-week (FREEDOM-M) or 16-week (FREEDOM-C and FREEDOM-C2) follow-up. Four patient clusters were identified. Compared with Clusters 1 (n = 131) and 2 (n = 496), Clusters 3 (n = 246) and 4 (n = 93) patients were older, heavier, had worse baseline functional class, 6MWD, Borg Dyspnea Index, and fewer years since PAH diagnosis. Clusters also differed by PAH etiology and background therapies, but not gender or race. Mean treatment effect of oral treprostinil differed across Clusters 1–4 increased in a monotonic fashion (Cluster 1: 10.9 m; Cluster 2: 13.0 m; Cluster 3: 25.0 m; Cluster 4: 50.9 m; interaction P value = 0.048). We identified four distinct clusters of PAH patients based on common patient characteristics. Patients who were older, diagnosed with PAH for a shorter period, and had worse baseline symptoms and exercise capacity had the greatest response to oral treprostinil treatment.

scholarly journals Sputum MicroRNA Profiling: A Novel Approach for the Early Detection of Non-Small Cell Lung Cancer

2012 ◽  
Vol 35 (5) ◽  
pp. 271 ◽  
Author(s):  
Wilson H. Roa ◽  
Julian O. Kim ◽  
Rene Razzak ◽  
Hongfei Du ◽  
Linghong Guo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cluster Analysis ◽  
Early Detection ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Mirna Profiling ◽  
Novel Approach ◽  
Negative Controls

Purpose: MicroRNAs (miRNAs) post-transcriptionally regulate hundreds of gene targets involved in tumorigenesis thereby controlling vital biological processes, including cellular proliferation, differentiation and apoptosis. MiRNA profiling is an emerging tool for the potential early detection of a variety of malignancies. This study was conducyed to assess the feasibility and methodological robustness of quantifying sputum miRNAs, employing quantitative real-time polymerase chain reaction (RT-qPCR) and cluster analysis on an optimized miRNA profile as a novel approach for the early detection of non-small cell lung cancer (NSCLC). Methods: The relative expressions of 11 miRNAs in sputum (miR-21, miR-145, miR-155, miR-205, miR-210, miR-92, miR-17-5p, miR-143, miR-182, miR-372, and let-7a) in addition to U6 were retrospectively assessed in four NSCLC-positive and four negative controls. Subsequently, a set of five miRNAs (miR-21, miR-143, miR-155, miR-210, miR-372) was selected because of degree of relatedness observed in the cluster analysis and tested in the same sputum sample set. The five optimized miRNAs accurately clustered these eight retrospective patients into NSCLC positive cases and negative controls. The five miRNA panel was then prospectively quantified in the sputum of 30 study patients (24 NSCLC cases and six negative controls) in a double-blind fashion to validate a five miRNA panel using hierarchical cluster analysis. Results: The optimized five miRNA panel detected NSCLC (83.3% sensitivity and 100% specificity) in 30 prospectively accrued study patients. Conclusion: Sputum miRNA profiling using cluster analysis is a promising approach for the early detection of non-small cell lung cancer. Further investigation using this approach is warranted.

Sign in / Sign up

Export Citation Format

Share Document