With the development of DNA microarray technology, scientists can now measure expression levels thousands genes simultaneously in one single experiment. One current difficulty interpreting data comes from their innate nature 'high-dimensional low sample size'. Therefore, robust and accurate gene selection methods are required to identify differentially expressed group across different samples, e.g. between cancerous normal cells. Successful will help classify cancer types, lead a better...

In the post-COVID-19 era, content of work and necessary skills are rapidly changing due to digital transformation way people work. Entrepreneurial adaptability capability most competencies for exploring opportunities quickly turning them into a professional career amid crisis. Financial literacy is also essential expanding in economic social life. The purpose this study verify influence university students’ financial on entrepreneurial intention mediating effect entrepreneurship. To end,...

The effects of installing a small control rod upstream circular cylinder are investigated experimentally, with focus on the drag characteristics and wake structure behind cylinder. Reynolds number based main diameter (D = 30 mm) is about Re 20 000. Control rods diameters d ranging from d/D 0.133 to 0.267 tested. Wake velocity surface-pressure distributions measured varying pitch distance L (i.e., center-to-center distance) between rod. form coefficient obtained by integrating surface...

Purpose The purpose of this study is to show effect entrepreneurship on entrepreneurial intention. Currently, the long-term global economic crisis accelerating, and concerns for future uncertainties are spreading throughout our society. ICT majors in Busan region no exception so that business start-up being considered as a new alternative survive grow such uncertain environments at home or abroad. That is, start-ups emphasized strategy individuals can change not only one’s own life but also...

Multiple previous reports have established that climate change disproportionately impacts smallholder farmers in developing countries. This study investigates the impact of adaptation, defined by farmers’ decisions to adopt improved practices mitigate or reduce effects change, on crop revenue and risk exposure. We employ control function approach an endogenous switching regression framework account for selection bias. Using household survey data from Nepal, we find adaptation positively...

The flow structure around the free end of a finite circular cylinder (FC) embedded in various atmospheric boundary layers (ABLs) was investigated experimentally. experiments were carried out closed-return type subsonic wind tunnel with oncoming ABLs. A an aspect ratio (L/D) 6 mounted vertically on flat plate. Reynolds number based diameter is ∼Re = 20,000. wake behind located uniform condition also measured for comparison. hot-wire anemometer employed to measure velocity, and mean pressure...

After COVID-19, youth participation in the financial market became active our society due to digital transformation of industrial structure, emergence various transaction means such as big technology and fintech, rise asset prices. This study examined effect socialization management behavior university students Korea, potential entrepreneurs, on start-up intention mediating entrepreneurship. To this end, a survey was conducted Busan Gyeongnam, total 207 responses were verified using SPSS...

Long-range-dependent time series are endemic in the statistical analysis of Internet traffic. The Hurst parameter provides a good summary important self-similar scaling properties. We compare number different estimation methods and some variations. This is done context wide range simulated, laboratory-generated, real data sets. Important differences between highlighted. Deep insights revealed on how well laboratory mimic data. Non-stationarities, which local time, seen to be central issues...

Smoothing methods and SiZer are a useful statistical tool for discovering statistically significant structure in data. Based on scale space ideas originally developed the computer vision literature, (SIgnificant ZERo crossing of derivatives) is graphical device to assess which observed features `really there' just spurious sampling artifacts. In this paper, we develop like time series analysis address important issue significance trends. This not straightforward extension, since one data set...

Skin aging is caused by exposure to various external factors. Ultraviolet B (UVB) irradiation induces oxidative stress, photoaging, and inflammation in skin cells. Pinus densiflora Sieb. et Zucc. (red pine) has antimicrobial antioxidant activities. However, the anti-inflammatory effects of red pine on have rarely been reported. The protective malonic acid (MA) isolated from were investigated against UVB-induced damage an immortalized human keratinocyte cell line (HaCaT). MA increased levels...

Abstract Although LCDs are widely used in power‐consumption critical applications, they not very energy‐efficient. The largest absorber of light is the color filter. We developed a TFT‐LCD with four‐color subpixels: red, green, blue and white. addition white subpixel greatly enhanced efficiency: up by 50%. RGB‐to‐RGBW mapping algorithm was designed so that hue saturation remains unchanged from original color. result bright display characteristic almost identical to RGB LCDs.

Penalized regression methods have recently gained enormous attention in statistics and the field of machine learning due to their ability reducing prediction error identifying important variables at same time. Numerous studies been conducted for penalized regression, but most them are limited case when data independently observed. In this paper, we study a variable selection problem models with autoregressive (AR) terms. We consider three estimators, adaptive least absolute shrinkage...

Abstract We consider interval‐valued data that frequently appear with advanced technologies in current collection processes. Interval‐valued refer to the are observed as ranges instead of single values. In last decade, several approaches regression analysis have been introduced, but little work has done on relevant statistical inferences concerning model. this paper, we propose a new approach fit linear model using resampling idea. A key advantage is it enables one make such overall...

ABSTRACT For bivariate heavy tailed data, the extremes may carry distinctive dependence information not seen from moderate values. example, a large value in one component help cause other. This is idea behind notion of extremal dependence. We discuss ways to detect and measure apply techniques discussed internet data conclude that for files transferred, file size throughput (the inferred rate at which transferred) exhibit independence.

In this paper, we extend SiZer (SIgnificant ZERo crossing of the derivatives) to dependent data for purpose goodness-of-fit tests time series models. Dependent compares observed with a specific null model being tested by adjusting statistical inference using an assumed autocovariance function. This new approach uses type visualization flag statistically significant differences between and given model. The power is demonstrated through some examples Internet traffic data. It seen that such...