The study of activity patterns in subterranean mammals has been poorly explored in subterranean insectivores. This is especially true for the rare and elusive blind mole Talpa caeca. A field work devoted to collect data on life history traits of the blind mole was run in a montane pasture in Southern Italy (1549 m a.s.l.). Plastic barrel-like traps were placed in actively used mole tunnels and checked regularly at 6 h intervals for two sessions of nine consecutive days, for a total 1500 trap-nights. No moles were captured alive, but signs of mole activity at trap sites (traps filled with ground) were regularly recorded. A video recorded inside a trap confirmed that
moles fill the traps with soil as part of trap avoidance behavior. Activity at trap sites was analyzed as a binomial variable, considering the rate of filled traps vs.the number of armed traps at each 6 h trap-checking intervals. Activity showed a polyphasic pattern typical of moles, but differently from other species, activity was more concentrated in the central part of the day (12.00-18.00). Results suggest a specific adaptation to local environmental conditions and body size.
Combinatorial optimization is a discipline of decision making in the case of diserete alternatives. The Genetic Neighborhood Search (GNS) is a hybrid method for these combinatorial optimization problems. The main feature of the approach is iterative use of local search on extended neighborhoods, where the better solution will be the center of a new extended neighborhood. When the center of the neighborhood would be t.he better solution the algorithm will stop. We propose using a genetic algorithm to exi)lore the extended neighborhoods. This GA is characterized by the method of evaluating the fitness of individuals and useing two new operators. Computational experience with the Symmetric TSP shows that this approach is robust with respect to the starting point and that high quality solutions are obtained in a reasonable time.
The use of phytoseiid species in biological plant protection is widespread. However, the techniques used to release them differ. The possible release of Amblyseius andersoni (Chant, 1959) using a new method was tested. High numbers of this mite overwinter in the ground litter in Hungarian orchards. By transferring such ground litter to plots in young orchards, the population density was found to be significantly increased in the release compared to control plots; A. andersoni became the dominant phytoseiid species in the new orchard. Due to the rate at which it spreads, this species was also recorded in the control plots towards the end of the growing season (Aug., Sept.), at which time there was no significant difference in the numbers of this species in the treated and control plots. In the winter following release, A. andersoni was found in the ground litter of the orchard., Árpád Szabó, Béla Pénzes., and Obsahuje seznam literatury
The presented technological procedure makes it possible to assemble large magnetic blocks from permanent magnets with a high value of maximum energy product in such a way that the individual magnets or magnetic plates are moved toward each other at a controlled speed in the direction perpendicular to the future common contact surface of these magnets, i.e. parallel to the induction lines crossing this contact surface. Unlike in the previously used way of assembling the blocks, it is thus possible to eliminate the influence of partial demagnetization as the blocks are being assembled and consequently to reach higher values of magnetic induction in the air gap of the magnetic circuit. When applying the new method of assembling the blocks for instance in circuits of magnetic filters for the purification of ceramic suspensions, a prerequisite for the further improvement of the technological parameters of filtration is thus created., Václav Žežulka and Pavel Straka., and Obsahuje bibliografické odkazy
The new family Juraperlidae is erected for the new genus and species Juraperla daohugouensis from the Chinese Middle Jurassic. Its wing venation has strong similarities with that of Mesozoic taxa currently included in the group "Grylloblattodea", but its character "three (or four?)-segmented tarsi" questions its potential inclusion into the same order with the modern Grylloblattodea. This suggests that the systematic assignments of several fossil "grylloblattid" species, mainly based on wing venation, could be very different.
A new mite species Schizocoptes daberti sp. n. (Acariformes: Chirodiscidae) from Chrysochloris stuhlmanni Matsche (Afrosoricida: Chrysochloridae) from the Democratic Republic of the Congo is described. It differs from the closely related species S. conjugatus Lawrence, 1944 in both sexes by distance si-si at least twice longer than si-se (vs these distances are subequal in S. conjugatus); in females by setae cp 30-40 µm long (vs about 65 µm long), and in males by the very weakly sclerotised posterior parts of the hysteronotal shield (vs strongly sclerotised), setae d1 situated anterior to the hysteronotal shield (vs at the hysteronotal shield), and by opened coxal fields III (vs closed). An amended generic diagnosis, including description of immature stages, and a key to named species of Schizocoptes Lawrence, 1944 are provided., Andre V. Bochkov., and Obsahuje bibliografii
We performed a phylogeographic analysis of mitochondrial DNA in the edible dormouse, Glis glis (Linnaeus, 1766), including 15 known haplotypes obtained across large part the European species’ range along with a fragment of the cytochrome b gene of one specimen from Alonissos island (Sporades archipelago, Greece). The haplotype of this specimen did not cluster with any other haplotypes, which were grouped into four lineages. The genetic divergence (mean K2P distance) between the Greek specimen and these four lineages, comprised between 3.3 % and 5.9 %, was comparable to the genetic divergence found between the aforesaid lineages (1.9-6.4 %). Accordingly, the specimen most likely falls into a new, never described before, Mediterranean mitochondrial lineage of G. glis.
An unnamed microcercous cercaria (Digenea: Monorchiidae), a parasite of Amiantis purpurata (Lamarck, 1818) (Bivalvia: Veneridae) and its corresponding metacercaria from the province of Buenos Aires and the Patagonian coast of the Southwest Atlantic Ocean, are described. The cercaria described in this paper differs from the three other monorchiid microcercous cercariae, i.e., Lasiotocus minutus (Manter, 1931), Lasiotocus elongatus (Manter, 1931), and Cercaria caribbea XXXVI Cable, 1956, mainly because of the extension of the excretory vesicle and the location of the ventral sucker. Cercariae artificially extracted from sporocysts encyst in a dish and form metacercariae enveloped by a gelatinous sac with two prolongations, which are used to adhere to the substratum. The monorchiid described in this paper has a life cycle similar to those of L. minutus and L. elongatus, although the adult stage of the present species is still unknown. Their larvae are similar in morphology and have venerid clams as their first hosts. The presence of a monorchiid larva is reported for the first time in the Southern Hemisphere. Its monthly prevalence rates, ranging from 0 to 25% (mean: 8.3%), are given from the Patagonian coast. The infection seems to cause castration as it was observed that during March through to May, when most gametes were produced in uninfected individuals, 81% of the infected individuals did not produce gametes.
The multilayer perceptron model has been suggested as an alternative to conventional approaches, and can accurately forecast time series. Additionally, several novel artificial neural network models have been proposed as alternatives to the multilayer perceptron model, which have used (for example) the generalized- mean, geometric mean, and multiplicative neuron models. Although all of these artificial neural network models can produce successful forecasts, their aggregation functions mean that they are negatively affected by outliers. In this study, we propose a new multilayer, feed forward neural network model, which is a robust model that uses the trimmed mean neuron model. Its aggregation function does not depend on outliers. We trained this multilayer, feed forward neural network using modied particle swarm optimization. We applied the proposed method to three well-known time series, and our results suggest that it produces superior forecasts when compared with similar methods.