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K2-295 b and K2-237 b: Two Transiting Hot Jupiters

Smith A. M. S., Csizmadia Sz., Gandolfi D., Albrecht S., Alonso R., Barragán O., Cabrera J., Cochran W. D., Dai F., Deeg H., Eigmüller Ph., Endl M., Erikson A., Fridlund M., Fukui A., Grziwa S., Guenther E. W., Hatzes A. P., Hidalgo D., Hirano T., Korth J., Kuzuhara M., Livingston J., Narita N., Nespral D., Niraula P., Nowak G., Palle E., Pätzold M., Persson C. M., Prieto-Arranz J., Rauer H., Redfield S., Ribas I., Van Eylen V.

Acta Astronomica

2019

Vol. 69, No. 2

135--158

We report the discovery from K2 of two transiting hot Jupiter systems. K2-295 (observed in Campaign 8) is a K5 dwarf which hosts a planet slightly smaller than Jupiter, orbiting with a period of 4.0 d. We have made an independent discovery of K2-237 b (Campaign 11), which orbits an F9 dwarf every 2.2 d and has an inflated radius 60-70% larger than that of Jupiter. We use high-precision radial velocity measurements, obtained using the HARPS and FIES spectrographs, to measure the planetary masses. We find that K2-295 b has a similar mass to Saturn, while K2-237 b is a little more massive than Jupiter.

Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and its Optimization with Genetic Algorithms

Hidalgo D., Castillo O., Melin P.

Journal of Automation Mobile Robotics and Intelligent Systems

2008

Vol. 2, No. 1

59-73

We describe in this paper a comparative study between Fuzzy Inference Systems as methods of integration in modular neural networks for multimodal biometry. These methods of integration are based on techniques of type-1 fuzzy logic and type-2 fuzzy logic. Also, the fuzzy systems are optimized with simple genetic algorithms. First, we considered the use of type-1 fuzzy logic and later the approach with type-2 fuzzy logic. The fuzzy systems were developed using genetic algorithms to handle fuzzy inference systems with different membership functions, like the triangular, trapezoidal and Gaussian; since these algorithms generate the fuzzy systems automatically. Then the response integration of the modular neural network was tested with the optimized fuzzy integration systems. The comparative study of type-1 and type-2 fuzzy inference systems was made to observe the behavior of the two different integration methods for modular neural networks for multimodal biometry.

Pig manure digestion assays under anaerobic conditions in fluidized bed reactors

Hidalgo D., Alamo Del J., Irusta R.

Archives of Environmental Protection

2008

Vol. 34, spec.

91-103

A study of the pig manure degradation and biofilm development under moderate psicrophilic conditions (20°C) was carried out on two pilot lab scale anaerobic fluidized bed reactors (AFBR), where biolite and activated coal were used as supports, respectively. The soluble total organic carbon (TOC) reduction in the treated waste was 40% for both reactors, working with a high organic loading rate (OLR) of 10 kg TOCnr'd'. The percentage of organic carbon removal rose until 90% when the organic loading rate decreased up to 3 kg TOCm'd1 (treating in this case only manure proceeding from the piglet room). The study shows imperceptible contents in acetic, propionic and butyric acids in the treated manure, whereas fatty acids of longer chain are detected. Microbial population developed inside reactors seems unable to degrade these long chain acids as fast as short chain ones because the biofilm is thinly populated by acidogenic bacteria. On the contrary, it seems to be large acetogenic and methanogenic population that carries out short chain fatty acid degradation. Kinetic studies reveal the existence of a remaining organic fraction in the anaerobic pig waste degradation caused by inhibition of hydrolysis step. Scanning Electron Microscopy shows a wide variety of microcolonies of different trophic populations which are located in crevices and other regions sheltered from hydraulic shear forces.