Biological and predatory characteristics of Andrallus spinidens (Hem.: Pentatomidae) on fourth instar larvae of Spodoptera littoralis (Lep.: Noctuidae), under laboratory conditions

Biological and predatory characteristics of Andrallus spinidens (F.) on fourth instar larvae of Egyptian cotton leafworm, Spodoptera littoralis (Bois.), were investigated, under laboratory condition, at 25 ± 1°C, 60 ± 5% RH and a photoperiod of 16: 8 L: D h. The analysis was based on an age-stage, two-sex life table. The intrinsic rate of increase (rm), finite rate of increase (λ), net reproductive rate (R0), gross reproductive rate (GRR) and mean generation time (T) of A. spinidens on S. littoralis were 0.0821 day-1, 1.0821 day-1, 102.77 offspring, 192.61 eggs and 58.68 day, respectively. The mean reproductive value of A. spinidens was estimated as 342.58 ± 48.18 eggs per female. The intrinsic birth rate (b) and intrinsic death rate (d) for A. spinidens on S. littoralis were 0.0894 and 0.0073, respectively. The first stage nymphs of A. spinidens live only on water but the second, third and fourth stage nymphs fed on 12.22, 26.22 and 41.28 of S. littoralis larvae, respectively. The fifth stage nymphs were more voracious and preyed on more than 70% of the larvae (94.36). At the adult stage, both male and female of A. spinidens were able to kill up to 85% of the larvae. In conclusion, the results prove that this predator pentatomid bug can be used as an efficient biological control agent against the noctuid pest, S. littoralis

Psychedelics and hypnosis: Commonalities and therapeutic implications

Background Recent research on psychedelics and hypnosis demonstrates the value of both methods in the treatment of a range of psychopathologies with overlapping applications and neurophenomenological features. The potential of harnessing the power of suggestion to influence the phenomenological response to psychedelics toward more therapeutic action has remained unexplored in recent research and thereby warrants empirical attention. Aims Here we aim to elucidate the phenomenological and neurophysiological similarities and dissimilarities between psychedelic states and hypnosis in order to revisit how contemporary knowledge may inform their conjunct usage in psychotherapy. Methods We review recent advances in phenomenological and neurophysiological research on psychedelics and hypnosis and we summarize early investigations on the coupling of psychedelics and hypnosis in scientific and therapeutic contexts. Results/Outcomes We highlight commonalities and differences between psychedelics and hypnosis that point to the potential efficacy of combining the two in psychotherapy. We propose multiple research paths for coupling these two phenomena at different stages in the preparation, acute phase, and follow-up of psychedelic-assisted psychotherapy in order to prepare, guide, and integrate the psychedelic experience with the aim of enhancing therapeutic outcomes. Conclusions/Interpretation Harnessing the power of suggestion to modulate response to psychedelics could enhance their therapeutic efficacy by helping to increase the likelihood of positive responses, including mystical type experiences

OBJECT-ORIENTED ANALYSIS OF SATELLITE IMAGES USING ARTIFICIAL NEURAL NETWORKS FOR POST-EARTHQUAKE BUILDINGS CHANGE DETECTION

Earthquake is one of the most divesting natural events that threaten human life during history. After the earthquake, having information about the damaged area, the amount and type of damage can be a great help in the relief and reconstruction for disaster managers. It is very important that these measures should be taken immediately after the earthquake because any negligence could be more criminal losses. The purpose of this paper is to propose and implement an automatic approach for mapping destructed buildings after an earthquake using pre- and post-event high resolution satellite images. In the proposed method after preprocessing, segmentation of both images is performed using multi-resolution segmentation technique. Then, the segmentation results are intersected with ArcGIS to obtain equal image objects on both images. After that, appropriate textural features, which make a better difference between changed or unchanged areas, are calculated for all the image objects. Finally, subtracting the extracted textural features from pre- and post-event images, obtained values are applied as an input feature vector in an artificial neural network for classifying the area into two classes of changed and unchanged areas. The proposed method was evaluated using WorldView2 satellite images, acquired before and after the 2010 Haiti earthquake. The reported overall accuracy of 93% proved the ability of the proposed method for post-earthquake buildings change detection

Investigation of Different MicroCT Scanner Configurations by GEANT4 Simulations

This study has been performed to design the combination of the new ClearPET (ClearPET is a trademark of the Crystal Clear Collaboration), a small animal positron emission tomography (PET) system, with a micro-computed tomography (microCT) scanner. The properties of different microCT systems have been determined by simulations based on GEANT4. We will demonstrate the influence of the detector material and the X-ray spectrum on the obtained contrast. Four different detector materials (selenium, cadmium zinc telluride, cesium iodide and gadolinium oxysulfide) and two X-ray spectra (a molybdenum and a tungsten source) have been considered. The spectra have also been modified by aluminum filters of varying thickness. The contrast between different tissue types (water, air, brain, bone and fat) has been simulated by using a. suitable phantom. The results indicate the possibility to improve the image contrast in microCT by an optimized combination of the X-ray source and detector material