We consider the problem of classification in noisy, high-dimensional, and class-imbalanced protein datasets. In order to design a complete classification system, we use a three-stage machine learning framework consisting of a feature selection stage, a method addressing noise and class-imbalance, and a method for combining biologically related tasks through a prior-knowledge based clustering. I...

Maternal attachment is known to be associated with children’s behavioral adjustment problems. Behavioural problems that emerge during childhood often persist into adolescence and are various negative outcomes. Therefore, this study aims determine the relationship between maternal among children in Selangor, Malaysia. The specific objectives demographic factors, adjustment. It also differences m...

The purpose of this study was to determine the condition cyberbullying that happened city Batam, especially during ongoing Covid-19 pandemic. types research we use are qualitative and quantitative. This conducted with many respondents a total 250 respondents. sampling technique used is Cluster & Stratified Random Sampling technique. results showed 30.8% often experienced or encountered case...

National surveys are relevant for the study of sleep epidemiology since they can provide specific data about sleep in large dimension with important implications for the health system. Thus, the aim of this study was to investigate the prevalence of sleep complaints among the Brazilian population using a randomized cluster sample according to region and socioeconomic class. For this, a 3-stage ...

In this paper, we present a path integral hybrid Monte Carlo (PIHMC) method for rotating molecules in quantum fluids. This is an extension of our PIHMC for correlated Bose fluids [S. Miura and J. Tanaka, J. Chem. Phys. 120, 2160 (2004)] to handle the molecular rotation quantum mechanically. A novel technique referred to be an effective potential of quantum rotation is introduced to incorporate ...

Most medical datasets are not balanced in their class labels. Furthermore, in some cases it has been noticed that the given class labels do not accurately represent characteristics of the data record. Most existing classification methods tend not to perform well on minority class examples when the dataset is extremely imbalanced. This is because they aim to optimize the overall accuracy without...

Self-medication is a widespread behavior worldwide. It is defined as the practice of self-diagnosis and drug prescription without proper professional consultation. Aim: To determine the prevalence and predictors of self-medication for oral health problems among adults living in Riyadh city. Methods: A cross-sectional study based on a structured close-ended questionnaire was distributed among ad...

The study was conducted to estimate the direct maternity-care expense for women who recently delivered in South Delhi and to explore its sociodemographic associations. A survey was conducted using the two-stage cluster-randomized sampling technique. Two colonies each from high-, middle- and low-income areas were selected by simple random sampling, followed by a house-to-house survey in each sel...

in semiarid regions such as saida, the steppe ecosystem is currently submitted to desertification under the combined effect of human activity and climate change. our study is a contribution to the assessment of the biodiversity of steppe formations through a phytoecological diagnosis at the south zone of the wilaya of saida. to achieve the objective of this study, a methodological approach base...