We analysed the secondary structure of two expansion segments (D2, D3) of the 28S rRNA gene from 229 leaf beetles (Coleoptera: Chrysomelidae), the majority of which are in the subfamily Galerucinae. The sequences were compared in a multiple sequence alignment, with secondary structure inferred primarily from the compensatory base changes in the conserved helices of the rRNA molecules. This comp...

Extracellular Cu/Zn superoxide dismutases (SODs) are critical for balancing the level of reactive oxygen species in the extracellular matrix of eukaryotes. In the present study we have detected constitutive SOD activity in the haemolymph and defensive secretions of different leaf beetle species. Exemplarily, we have chosen the mustard leaf beetle, Phaedon cochleariae, as representative model or...

Reliable measurements of effluent quality are important for different operational tasks such as process monitoring, online simulation, and advanced control in the wastewater treatment process (WWTP). A kernel principal component analysis (KPCA) and extreme learning machine (ELM) based ensemble soft sensing model for effluent quality prediction was proposed. KPCA was used to extract nonlinear fe...

Epitrix hirtipennis (Melsheimer, 1847) (Coleoptera: Chrysomelidae: Galerucinae: Alticini), a leaf beetle native to North America, is recorded for the first time from Hungary. Several specimens were found on tobacco (Nicotiana tabacum L.) plantations in eastern and central parts of country. Its life cycle importance as pest are briefly discussed.

BACKGROUND The first aim of this study was to clarify the effective ratio of extractive from leaves of Morus Alba (ELM) to sucrose so as to apply this knowledge to the preparation of confections that could effectively suppress the elevation of postprandial blood glucose and insulin. The second aim was to identify the efficacy of confections prepared with the optimally effective ratio determined...

With the development of technology and the widespread use of machine learning, more and more models need to be trained to mine useful knowledge from large scale data. It has become a challenging problem to train multiple models accurately and efficiently so as to make full use of limited computing resources. As one of ELM variants, online sequential extreme learning machine (OS-ELM) provides a ...

Extreme Learning Machine (ELM) algorithm not only has gained much attention of many scholars and researchers, but also has been widely applied in recent years especially when dealing with big data because of its better generalization performance and learning speed. The proposal of SS-ELM (semi-supervised Extreme Learning Machine) extends ELM algorithm to the area of semi-supervised learning whi...

Podagrica uniforma Jacoby and P. sjostedti are two important flea beetles that cause economic damage to several Malvaceae crops in Africa. Host preference by the was evaluated under field conditions 2017 2018 using fourty different family Malvaceae. The setup a randomized complete block design with three blocks. Both highly preferred okra genotypes, but cotton genotypes were not damaged both ye...

abstract due to economical importance of stored product pests and resistance to conventional insecticides, it is necessary to use novel and suitable compounds in control programs. therefore, we evaluated the toxicity of spinosad to three important storage insect, red flour beetle, tribolium castaneum (herbst), rice weevil, sitophilus oryzae (l.), sawtoothed grain beetle oryzaephilus surinamensi...

The cottonwood leaf beetle, Chrysomela scripta F., is a serious defoliator of plantation Populus in the United States. Current control methods include biorational and synthetic chemicals as well as selecting Populus clones resistant or tolerant to C. scripta defoliation. SpeciÞc ratios of long-chain fatty alcohols to alpha-tocopherylquinone ( -TQ) on the leaf surface of Populus spp. act as phag...