Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

In recent years there has been an increased interest in using protein mass spectroscopy to discriminate diseased from healthy individuals with the aim of discovering molecular markers for disease. A crucial step before any statistical analysis is the pre-processing of the mass spectrometry data. Statistical results are typically strongly affected by the specific pre-processing techniques used. ...

BACKGROUND Serum cotinine, a metabolite of nicotine, is frequently used in research as a biomarker of recent tobacco smoke exposure. Historically, secondhand smoke (SHS) research uses suboptimal statistical methods due to censored serum cotinine values, meaning a measurement below the limit of detection (LOD). METHODS We compared commonly used methods for analyzing censored serum cotinine dat...

Enhanced oil recovery using nitrogen injection is a commonly applied method for pressure maintenance in conventional reservoirs. Numerical simulations can be practiced for the prediction of a reservoir performance in the course of injection process; however, a detailed simulation might take up enormous computer processing time. In such cases, a simple statistical model may be a good approach to...

Bee honey is a valuable highly nutritive natural product; it widely consumed among the population. Due to its high cost often becomes object of adulteration. The authenticity most important criterion quality, as on one hand ensures biosecurity honey, and provides healthy market competition other hand. In this regard, issue identification quite acute in all countries with developed beekeeping cu...

Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...

Despite interest in the use of nuclear morphometry for cancer diagnosis and prognosis as well as to monitor changes in cancer risk, no generally accepted statistical method has emerged for the analysis of these data. To evaluate different statistical approaches, Feulgen-stained nuclei from a human lung epithelial cell line, BEAS-2B, and a human lung adenocarcinoma (non-small cell) cancer cell l...

This study aims to analyze the influence of individual factors and behavior on employee performance at PT. Naga Aries Teknologi Surabaya. The research is aimed employees Teknologi. Research respondents amounted 45 people with type sample selection, namely sampling method in this using saturated techniques. Saturated a technique when all members population are used as samples. often done relativ...

AIMS AND OBJECTIVES The objective of the present study is to compare the effectiveness of three different processing techniques and to find out the accuracy of processing techniques through number of occlusal interferences and increase in vertical dimension after denture processing. MATERIALS AND METHODS A cross-sectional study was conducted on a sample of 18 patients indicated for complete d...