Determination of contents based on learning styles through artificial intelligence

The study presents the development of a platform for structuring adaptive courses based on active, reflexive, theoretical and pragmatic learning styles using artificial intelligence techniques. To this end, the following phases were followed: search, analysis and classification of information about the process of generating content for courses; analysis and coding of the software component for generating content according to learning styles; and application of tests for validation and acceptance. The main contribution of the paper is the development of a model using neural networks and its integration in an application server to determine the contents that correspond to the active, reflexive, theoretical and pragmatic learning styles

Free thaw resistance of stabilized and fiber-reinforced soil vulnerable to landslides

The research is undertaken to study the combined reinforcing and stabilizing effect of Eco sand, Metakaolin added with Polypropylene fibers in silty soil obtained from Nilgris district. In this work, an effort is made to obtain the impact of adding polypropylene fibers in fixed ratios (eco sand10%_metakaolin 5%) tandem with two novel stabilizing agents in various proportions (polypropylene fiber 0.1% & 0.2%) is the effects of non-traditional additives on the geotechnical properties of soils have been the focus of much investigation in recent years. It has been well established that the plasticity index and also the size, shape, and arrangement of soil particles will affect the treatment process of natural soils with additives. Stabilization of soils that are subjected to a regular variation in the temperature requires the most probable selection of suitable stabilizers and admixtures to improve the strength of the soil. This study investigates the resistance of the Nilgiris soil over the freeze–thaw reaction. The soil is stabilized with Eco Sand, Metakaolin, and polypropylene fiber (synthetic fiber). The index and engineering properties of the soil were determined in the laboratory. The soil is stabilized with two variants of an equal proportion of EcoSand-10%, Metakaolin-5%, and varying the polypropylene fiber in a proportion of 0.1% and 0.2% with the weight of the soil. UCS test was conducted for the virgin sample as well as the sample after four freeze–thaw cycles. The soil sample is kept at 0° for 24 h and later at 28° for 24 h to complete a cycle. It is determined that the admixtures added has increased the resistance of the soil over the freeze–thaw reaction after the cycles. The polypropylene fiber has increased the bonding of soil, and hence it stabilizes the soil during a large periodical variation in the temperature of the soil

Studies on strength characteristics of black cotton soil by using novel SiO2 combination as a stabilizing agent

The rapid growth in industrialization and population leads to generation of large quantity of wastes, some materials were containing high silica contents is damped as a waste. In this study such damped silica wastes from various industries is collected and subjected to studies as a stabilizing material for black cotton soils, such assorted materials are Fly ash, GGBS, Rice husk ash, Precipitated silica and Calcium chloride. By effective nanoparticle studies like SEM, EDAX, presence of silica, aluminum and magnesium proportion in each industrial waste is formulated. From the result of nanoparticle analysis novel silica combination prepared by composition of all those materials based on cementanious action mineral presence. In before studies one or two combinations only used as stabilizer but in this paper a new group bearing binder combination is designed and their behavior with chosen geo material and its respective engineering, strength and hydraulic properties is studied by Constantine combination proportion to 20% to weight of soil. Properties such as California bearing ratio (CBR), and North Dakota of the soils were determined with the addition of stabilizers. From the results engineering properties of the poor engineering graded soil were improved is clearly visualized. For the normal soil and effective result binder proportion, a comparison in finite element analysis using PLAXIS is carried out for footing study. Finally, the study showed that exact cementanious mineral combination from industrial waste could improve the geotechnical properties of highly inorganic soil

A holistic approach to dissecting SPARC family protein complexity reveals FSTL-1 as an inhibitor of pancreatic cancer cell growth.

SPARC is a matricellular protein that is involved in both pancreatic cancer and diabetes. It belongs to a wider family of proteins that share structural and functional similarities. Relatively little is known about this extended family, but evidence of regulatory interactions suggests the importance of a holistic approach to their study. We show that Hevin, SPOCKs, and SMOCs are strongly expressed within islets, ducts, and blood vessels, suggesting important roles for these proteins in the normal pancreas, while FSTL-1 expression is localised to the stromal compartment reminiscent of SPARC. In direct contrast to SPARC, however, FSTL-1 expression is reduced in pancreatic cancer. Consistent with this, FSTL-1 inhibited pancreatic cancer cell proliferation. The complexity of SPARC family proteins is further revealed by the detection of multiple cell-type specific isoforms that arise due to a combination of post-translational modification and alternative splicing. Identification of splice variants lacking a signal peptide suggests the existence of novel intracellular isoforms. This study underlines the importance of addressing the complexity of the SPARC family and provides a new framework to explain their controversial and contradictory effects. We also demonstrate for the first time that FSTL-1 suppresses pancreatic cancer cell growth

Algorithms for crime prediction in smart cities through data mining

The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number of criminal acts in Colombian municipalities. To this end, a set of data was generated merging the data from the Guardia Civil with public data on the demographic structure and voting trends in the municipalities. The best regressor obtained (Random Forests) achieves a RRSE (Root Relative Squared Error) of 40.12% and opens the way to keep incorporating public data of another type with greater predictive power. In addition, M5Rules were used to interpret the results

Heat and mass transmission of an Oldroyd-B nanofluid flow through a stratified medium with swimming of motile gyrotactic microorganisms and nanoparticles

This paper focuses on the research of motile microorganism rates in the bioconvective Oldroyd-B nanoliquid flow over a vertical stretching sheet with mixed convection and inclined magnetic field. Additionally, interesting characteristics of thermophoresis, Brownian motion, viscous dissipation, Joule heating, and stratification are examined. Similarity transformations are employed to reduce the mathematical model to higher-order ODE. The convergent serious solution is applied to solve the nonlinear differential system. The analysis of temperature, velocity, motile microorganisms’ density, and nanoparticle concentration are represented through graphs. Local Nusselt number, density number of motile microorganisms, and Sherwood number are examined via contour plots

Recent freshening and cooling of Biscay subsurface waters

The monitoring program Radiales (https://www.seriestemporales-ieo.net/) by the Spanish Institute of Oceanography, has been providing hydrographical and biogeochemical series in marine waters around Spain on a monthly basis from early 90's. The proximity of the shelf-break in front of the city of Santander (SE Bay of Biscay) allowed tracking intermediate and deep waters along the standard section perpendicular to this city for three decades (sampling was limited to 1000 meter until late 2007, then extended to 1500 m, and full-depth 2400 m since 2014). From the start of the sampling in nearly 90`s, subsurface waters showed unabated warming and salt-increase. Warming was linked to isopycnal sinking (heave) during the 90`s and early 00`s until the occurrence of very strong winter mixing in 2005 that shifted quickly the salinity down to lower East North Atlantic Central Waters (ENACW) levels (ca. 400 m). Overall, warming and salt-increase at the core of ENACW added up to 0.3ºC and 0.08 in salinity within only two and a bit decades. In 2014, the upper central waters showed freshening and cooling for the first time in the series, a process that enhanced in the following years especially in salinity that currently (2021) presents the lowest value of the overall timeseries. This shift in regional hydrography follows the large salinity drop observed in the subpolar gyre around 2012 and its subsequent expansion downstream into the subtropical gyre and subarctic seas. This regime shift implies that subsurface environmental conditions in the region have returned back to 90`s state, contrasting to the uppermost waters which continue to show large positive anomalies. The effects of this cold and freshwater inflow in the regional circulation of southern Biscay are discussed