A novel ensemble artificial intelligence approach for gully erosion mapping in a semi-arid watershed (Iran)

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. In this study, we introduced a novel hybrid artificial intelligence approach of rotation forest (RF) as a Meta/ensemble classifier based on alternating decision tree (ADTree) as a base classifier called RF-ADTree in order to spatially predict gully erosion at Klocheh watershed of Kurdistan province, Iran. A total of 915 gully erosion locations along with 22 gully conditioning factors were used to construct a database. Some soft computing benchmark models (SCBM) including the ADTree, the Support Vector Machine by two kernel functions such as Polynomial and Radial Base Function (SVM-Polynomial and SVM-RBF), the Logistic Regression (LR), and the Naïve Bayes Multinomial Updatable (NBMU) models were used for comparison of the designed model. Results indicated that 19 conditioning factors were effective among which distance to river, geomorphology, land use, hydrological group, lithology and slope angle were the most remarkable factors for gully modeling process. Additionally, results of modeling concluded the RF-ADTree ensemble model could significantly improve (area under the curve (AUC) = 0.906) the prediction accuracy of the ADTree model (AUC = 0.882). The new proposed model had also the highest performance (AUC = 0.913) in comparison to the SVM-Polynomial model (AUC = 0.879), the SVM-RBF model (AUC = 0.867), the LR model (AUC = 0.75), the ADTree model (AUC = 0.861) and the NBMU model (AUC = 0.811)

Supplement to the theory, practice, and architecture of bridges; illustrating the most recent applications of cast and wrought iron, stone, and timber, and suspension; with observations upon the different materials employed in the construction of bridges ... Published in six parts; now complete in one volume.

"Memoir of Count Széchenyi, from Paget's 'Hungary and Transylvania.' 1839": 15 p., third group."Report on Pesth Bridge" (56 p.) signed: Graf Georg Andrásy, Graf Stephan Széchenyi.Mode of access: Internet

Optimization of a combined wet milling process in order to produce poly(vinyl alcohol) stabilized nanosuspension

Csaba Bartos,1 Orsolya Jójárt-Laczkovich,1 Gábor Katona,1 Mária Budai-Szűcs,1 Rita Ambrus,1 Alexandra Bocsik,2 Ilona Gróf,2 Mária Anna Deli,2 Piroska Szabó-Révész1 1Faculty of Pharmacy, Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged, Szeged, Hungary; 2Institute of Biophysics, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary Purpose: The article reports a wet milling process, where the planetary ball mill was combined with pearl milling technology to reach nanosize range of meloxicam (Mel; 100–500 nm). The main purpose was to increase the dissolution rate and extent of a poorly water-soluble Mel as nonsteroidal anti-inflammatory drug as well as to study its permeability across cultured intestinal epithelial cell layers. Methods: Viscosity of milled dispersion and particle size distribution and zeta potential of Mel were investigated and differential scanning calorimeter and X-ray powder diffractometer were used to analyse the structure of the suspended Mel. Finally in vitro dissolution test and in vitro cell culture studies were made. Results: It was found that the ratio of predispersion and pearls 1:1 (w/w) resulted in the most effective grinding system (200-fold particle size reduction in one step) with optimized process parameters, 437 rpm and 43 min. Nanosuspension (1% Mel and 0.5% poly[vinyl alcohol]) as an intermediate product showed a stable system with 2 weeks of holding time. This optimized nanosuspension enhanced the penetration of Mel across cultured intestinal epithelial cell layers without toxic effects. Conclusion: The dissolution rate of Mel from the poly(vinyl alcohol) stabilized nanosuspension justified its applicability in the design of innovative per oral dosage form (capsule) in order to ensure/give a rapid analgesia. Keywords: nanonization, meloxicam, milled dispersion, milling efficiency, zeta potential, intermediate produc

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

© 2019 Elsevier B.V. Floods around the world are having devastating effects on human life and property. In this paper, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR, TOPSIS and SAW), along with two machine learning methods (NBT and NB), were tested for their ability to model flood susceptibility in one of China's most flood-prone areas, the Ningdu Catchment. Twelve flood conditioning factors were used as input parameters: Normalized Difference Vegetation Index (NDVI), lithology, land use, distance from river, curvature, altitude, Stream Transport Index (STI), Topographic Wetness Index (TWI), Stream Power Index (SPI), soil type, slope and rainfall. The predictive capacity of the models was evaluated and validated using the Area Under the Receiver Operating Characteristic curve (AUC). While all models showed a strong flood prediction capability (AUC > 0.95), the NBT model performed best (AUC = 0.98), suggesting that, among the models studied, the NBT model is a promising tool for the assessment of flood-prone areas and can allow for proper planning and management of flood hazards

The fraternity of female friendly societies

In this chapter, the structured reciprocity of female friendly societies, even those with overt patrons, is presented as a categorization which is also applicable to men’s societies. The first part addresses the notion of independence, then the focus is on the financial aspect of the Southill Female Friendly Society, SFFS, which existed between 1844 and 1948 for women of that Bedfordshire village in England who were of ‘a good and honest character’, in good health and aged between 14 and 45 when they joined. Members had few other opportunities to reduce the risks associated with illness other than accept the uneven reciprocity of the SFFS. The patrons may also have seen the SFFS as an investment opportunity. Then the attractions of Southill, with its healthy housing and relatively liberal interpretation of relief legislation, are presented as evidence of another important attribute of successful friendly societies, their centrality to social networking. Next is considered how far mutuality and philanthropy were interwoven within the SFFS and elsewhere. An assessment of the roles of civil engagement and moral regulation within friendly societies follows and the final section suggests that a notion of fraternity which emphasizes flexible reciprocity can net together both vast international brotherhoods and tiny village societies in a way which illuminate understandings of nineteenth-century society