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Ladybird beetles have successfully been used to control different pests. Cheilomenes sexmaculata (Fabricius) and Oenopia conglobata contaminata)Menetries((Coleoptera: Coccinellidae) are two dominant and efficient predators of the common pistachio psylla, Agonoscena pistaciae (Hem.: Psyllidae) in Iran. In the current study, the impact of two diets, i.e., nymphs of A. pistaciae and eggs of Ephestia kuehniella Zeller (Lep.: Pyralidae), were investigated on the cold hardiness, supercooling point (SCP), and lethal temperature of different life stages of the coccinellids. The results suggested that the eggs of E. kuehniella are a suitable diet for both predators. In general, beetles of O. conglobata contaminata were more cold tolerant than those of C. sexmaculata. The SCP of the adults of C. sexmaculata, feeding on psyllid was about −15 °C, whereas the SCP of the beetles, feeding on the eggs of flour moth, was about −19 °C. However, the diets had no significant effects on the SCP of O. conglobata contaminata. For both ladybird beetles, eggs were the most sensitive stage, and adulthood was the most tolerant developmental stage. No eggs survived at zero and subzero temperatures. The survival of C. sexmaculata increased from 6.25% for adults fed on psyllids to 13.75% for those fed on flour moth eggs after 24 h exposure to cold at −4 °C. The survival of O. conglobata contaminata adults after exposure to cold at −4 °C for 24 h raised from 28.75% for adults fed on psyllids to 42.50% for those fed on flour moth eggs. Regardless of the diet, both beetles were considered to be chill-intolerant insects as the most mortality occurred above the SCP. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to develop a new suit sizing system based on up-dated data, using data mining techniques, to improve the final quality and reduce the waste of fabric. This paper aims to investigate the effect of data reduction on the final fitness of the sizing chart. Design/methodology/approach – Principal component analysis is applied to reduce the sizing variables, non-hierarchical clustering approach is used to segment the heterogeneous population to more homogeneous one, and the aggregate loss of fitness is used to evaluate the resulted sizing chart. Findings – The results show that, when principal component analysis reduces the ten sizing variables to two main components, the final fitness for the resulted sizing chart is the best. These two main components are height and circumference. The hierarchical clustering approach could effectively group all body type to seven clusters. The resulted sizing chart could be used as a reference for suit manufacturers. Practical implications – Due to wide differences in race, nutrition and climate, people who live in different countries have their own body size; also, most of current sizing systems are out-dated, so there is an urgent need to develop a new sizing system. Due to the growing rate of globalization, the final results will be useful for those companies wanting to connect to global business chains. Originality/value – This work introduces the first suit sizing systems, based on data mining, for Iranian males, that has more fitness in comparison to the current sizing chart. The effect of the number of principal components on the final fitness of a sizing system is introduced as an innovative way, to avoid losing useful data during data reduction process with principal component analysis. [ABSTRACT FROM AUTHOR]