OBJECTIVES The study has aimed to identify the relations between the supplementary person-organization fit (P-O fit) and the perceived stress among managerial staff, with special regard to the mediating role of the effort-reward balance. MATERIAL AND METHODS The study sample consisted of 715 middle-level managers, aged 25-64 years old, employed in large companies. To measure the selected vari...

Most existing classification approaches assume the underlying training set is evenly distributed. In class imbalanced classification, the training set for one class (majority) far surpassed the training set of the other class (minority), in which, the minority class is often the more interesting class. In this paper, we review the issues that come with learning from imbalanced class data sets a...

Systems for face re-identification over a network of video surveillance cameras are designed with a limited amount of reference data, and may operate under complex environments. Furthermore, target individuals provide a small proportion of the facial captures for design and during operations, and these proportions may change over time according to operational conditions. Given a diversified poo...

An experiment involving 289 farrowings during a 2-yr period was conducted to determine the effect of increasing dietary nutrient concentration, electrolyte balance, and season of the year on the lactational performance of sows. Experimental diets were corn-soybean meal-based. The basal diet was formulated to meet or exceed the NRC requirements and the high-nutrient diet was formulated to contai...

Concept drift (non-stationarity) and class imbalance are two important challenges for supervised classifiers. “Concept drift” (or non-stationarity) refers to changes in the underlying function being learnt, and class imbalance is a vast difference between the numbers of instances in different classes of data. Class imbalance is an obstacle for the efficiency of most classifiers. Research on cla...

Linear Proximal Support Vector Machines (LPSVMs), like decision trees, classic SVM, etc. are originally not equipped to handle drifting data streams that exhibit high and varying degrees of class imbalance. For online classification of data streams with imbalanced class distribution, we propose a dynamic class imbalance learning (DCIL) approach to incremental LPSVM (IncLPSVM) modeling. In doing...

In recent years, a number of machine learning approaches to literature-based gene function annotation have been proposed. However, due to issues such as lack of labeled data, class imbalance and computational cost, they have usually been unable to surpass simpler approaches based on string-matching. In this paper, we investigate the use of semantic kernels as a way to address the task’s inheren...

the development and widespread use of a prophylactic vaccine significantly reduced the incidence of poliomyelitis. at present we more commonly encounter with poliomyelitis sequelae especially in developing countries. we evaluate the results of a modified innominate osteotomy for leg length discrepancy in poliomyelitis. instead of triangular bone graft as in salter’s innominate osteotomy , a tra...

introduction:childhood obesity is a major public health crisis nationally and internationally. the prevalence of  childhood obesity has increased over few years. it is caused by imbalance between calorie intake and calories utilized. one or more factors (genetic, behavioral, and environmental) cause obesity in children. physical, psychological, and social health problems are caused due to child...