Redescription of Periplanetaarabica (Bey-Bienko, 1938) (Blattodea, Blattidae), with a comparative analysis of three species of Periplaneta Burmeister, 1838 (sensu stricto).

The blattid cockroach Periplanetaarabica (Bey-Bienko, 1938) has been poorly understood since its original description. In this study, male and female (including nymph) of P.arabica are paired using DNA barcoding, and their morphological characters (including both external characteristics and genitalia) are described. A detailed comparative morphological study of this species and the closely related Periplanetaamericana (Linnaeus, 1758) and Periplanetalateralis Walker, 1868 was carried out to explore phylogenetically relevant characters.

Two new genera (Vittiblatta gen. nov. and Planiblatta gen. nov.) of Blattinae (Blattodea, Blattidae) from Southwest China and the discovery of chirally dimorphic male genitalia in Vittiblattapunctata sp. nov.

This study examines Blattinae samples from Southwest China collected in recent years. Based on morphological characters, we establish two genera, Vittiblattagen. nov. and Planiblattagen. nov., and describe four new species, Vittiblattapunctata Luo & Wang, sp. nov., Vittiblattaferruginea Luo & Wang, sp. nov., Vittiblattaundulata Luo & Wang, sp. nov., and Planiblattacrassispina Luo & Wang, sp. nov. These two new genera resemble Periplaneta s.s., but are easily distinguished from it and other genera of Blattinae by morphological characters (genital sclerite L4C). Our results indicate that sclerites L4C and R1G of male genitalia might be important in species delimitation of Blattinae. In addition, chiral dimorphism is found in male genitalia of Vittiblattapunctata sp. nov.

A CBR-based and MAHP-based customer value prediction model for new product development.

In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts' workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor's effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers' transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM's three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment.