In Machine learning and pattern recognition, building a better predictive model is one of the key problems in the presence of big or massive data; especially, if that data contains noisy and unrepresentative data samples.These types of samples adversely affect the learning model and may degrade its performance.To alleviate this problem, sometimes,
Objective: The global impact of osteoarthritis is growing.Currently no disease modifying osteoarthritis drugs/therapies exist, increasing the need for preventative strategies.Knee injuries have a high prevalence, distinct onset, and strong independent association with post-traumatic osteoarthritis (PTOA).Numerous groups are embarking upon research
Background: Family functions and resilience (hardiness) are two important aspects of families for Walking Poles keeping them stable.How those two aspects are present and operate in families having adolescents with mental retardation and psychosis is the aim of this study.Materials and Methods: A total of 45 adolescents (comprising 15 intellectually
The article studies speech behavior of the class of Soviet intelligentsia in communicative situations of flirting.The research is based on Soviet comedy plays of the 1960s–1970s: “Dobryaki”, “Entsiklopedisty”, “Tranzit”, “Pokrovskie vorota”, “Teatral’naya fantaziya” by Leonid Z
A blockchain-based data integrity multi-party high-efficiency audit mechanism (MBE-ADI) for the big data environment was proposed.A hybrid Merkle DAG structure based on data domain was built to organize data, and realized the simultaneous verification of a large number of unstructured data in the big data environment.In order to Glucosamine MSM dea