Saúl González

Clinical outcomes of diabetic foot management with Circulat

Major and minor lower‐extremity amputation is a common complication among diabetics. Various sources indicate diabetic foot ulcer prevalence at between 2.2% and 15% in diabetics. This study evaluates the efficacy and tolerance of a standardized plant extract combination, Circulat, developed for the prevention and treatment of severe manifestations of type 2 diabetes, such as necrotic damage of the foot. Thus, a retrospective cohort study was carried out in 174 patients treated with Circulat with diabetic foot grades D1–D3, according to The University of Texas Wound Classification System, in 50 medical centers, from 2004 to 2007. Circulat obtained 50.57% complete cure of diabetic foot, significant improvement in 37.9% and prevented amputation in 88.5% of the studys total population. The treatment was well tolerated. Four patients (2.3%) had slight gastrointestinal unrest which did not warrant suspension of treatment. Copyright

Implementing Data Mining to Improve a Game Board Based on Cultural Algorithms

Abstract —Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most of the evolutionary algorithms propose biological paradigms, and the concepts of natural selection, mutation and reproduction. However, other paradigms that can be adopted in the creation of evolutionary algorithms exist. Many problems involve not structured environments that can be considered from the perspective of cultural paradigms; the cultural paradigms offer a wide range of categorized models that ignore the possible solutions to the problem, -a commo n situation in the real life-. The purpose of the present work is to apply the computational properties of the cultural technology; on this case, to corroborate them by means of data mining to propose the solution to a specific problem. The above mentioned, carrying out an adaptation from the perspective of the societies modeling. An environment to carry out tests of this type was develope d to allow the learning on the not very conventional characteristics of a cultural technology. This environment is called Baharastar.

Musical Recommendation on Thematic Web Radio

In this research is described a Musical Recommender System associated to Thematic Web Radio for songs in a database related with this Web Radio employs the Dublin Core metadata standard for the documents description, the XML standard for describing user profile, which is based on the user’s profile, and on service and data providers to generate musical recommendations. The main contribution of the work is to provide a recommendation mechanism based on the user of this Thematic Web Radio reducing the human effort spent on the profile generation. In addition, this article presents and discusses some experiments that are based on quantitative and qualitative evaluations.

Social Data Mining to Improve Bioinspired Intelligent Systems

The proposal of this chapter is to explain the implementation of social data mining to improve results in bioinspired intelligent systems using generation of clusters, associative rules; decision trees, associated models, dioramas and multivariable analysis for obtain knowledge about any issue related with a topic. This kind of intelligent systems using bioinspired computing – specially, group intelligence techniques such as: Ant Colony, Particle Swarm Optimization and Cultural Algorithmsthat try to simulate biological processes that occur in the nature. Intelligent agents use this information to make decisions to improve a needed heuristic optimization in different fields such as: negotiation, argumentation or artificial societies simulation. First in section 2 of this chapter, we approach different concepts related with social data mining and how to use different ways to analyze and model the necessary information to support the correct decision of agents; in next three sections we explain the way to generate a specific behaviour by using group intelligence techniques –ant colony (section 3), particle swarm optimization (section 4) and cultural algorithms (section 5), In section 6, we apply this knowledge in diverse fields and application domains that use a heuristic optimization. In section 7 we compare different cases of studies: Eurovision Voting problem, and the Distribution of Elements. Finally in section 8 we provide our conclusions and outline our future research.

Improved solution based on Bat Algorithm to Vehicle Routing Problem in a Caravan Range Community

The purpose of this research is to understand from a Multivariable optimization associated with the path of a group of vehicles integrated in a Community Caravan Range and determine the optimal route involve speed, storage and travel resources for determining the cost benefit have partnered with a travel plan, which has as principal basis the orography restriction, although this problem has been studied on several occasions by the literature failed to establish by supporting ubiquitous computing for interacting with the various values associated with the achievement of the group of vehicles and their cost-benefit of each member of the community and comparing their individual trips for the group. There are several factors that can influence in the achievement of a group trip, for our research we propose to use Algorithm Bat on, which has proven to be efficient for the convergence of several issues (artificial bats) when they have such restrictions and obstacles should use this energy to avoid in our case, a gain resource as food which in our case is represented as the use of food optimally for the duration of a long trip with the uncertainty of not knowing when you have a resupply.

Improving Decision-Making in a Business Simulator Using TOPSIS Methodology for the Establishment of Reactive Stratagems

Nowadays using a robust simulator is very important to support an organization in its first step to consolidate in the market, in this research we make a challenging organizational tool based on different components to make an adequate strategic planning methodology, unlike current applications, it is focused on an environment that goes beyond simple numerical forecasts and statistical processes. It is based on advanced components to optimize the strategies and stratagems to be followed within the company, helping businesses to achieve competitive advantage in the market. A business simulator is flexible, adaptive, has learning ability, is robust and fault tolerant. Our intelligent tool uses different methodologies to provide optimal strategies to improve competitiveness of a company, the ability of the model can provide strategies that are not obvious because they can find no obvious relationship among variables that can help the manager or leader of an organization to realize a better decision. This tool is an aid in the process of improving competitiveness because it supports the strategic decisions made in an organizational level.

Fuzzy Topsis Method Associated with Improved Selection of Machines of High Productivity

This study combines Fuzzy Logic and multicriteria TOPSIS method for the selection, from three different alternatives, which machines of high productivity is more convenient to a construction company. The evaluation of each alternative is made through group decision making which identifies the most important criteria according to the requirements presented by the company. To assess the selected criteria in the TOPSIS method is weighted by a group of experts who, based on their experience and knowledge of this type of machinery, assess the relevance of these in the operation and functioning of the hydraulic excavator. Both qualitative and quantitative studies are used in this work, however the experts evaluate, through surveys based on Likert scale all the criteria in which they want to measure the perception. Data provided from the surveys is used for the construction and association of the groups of expert’s opinion through the use of fuzzy sets to avoid ambiguity problems of the linguistic variables.

Understanding the Consequences of Social Isolation Using Fireworks Algorithm

Social isolation, also known as “social withdrawal” occurs when a person is away from their environment completely involuntarily but might think otherwise. This condition occurs in people of all ages and can be a result of traumatic events in their history, such as being the victim of bullying or as part of any medical condition, such as depression. In this research we try to explain this social concept using a novel Bioinspired Algorithm named Firework Algorithm. Four minority groups in Chihuahua, have high levels of social isolation, thereby generating between different situations, principally school drop due to the lack of equal opportunities for the majority group. This research seeks to elucidate the reasons why it happens this by simulating social behavior. As future work, the research will be replicated in Aguascalientes.

Fuzzy Logic to determine poverty levels in a society

Through this research, we shows a study on the identification of poverty in a great city with over a million of habitants -and featured with a radical violence which costs 32000 deaths-and analyze vulnerability with homeless and poor people in the municipality of Ciudad Juarez - a largest city in México, the seventh most largest-, trying the questionnaire used for the study, with fuzzy logic techniques. With this new method of treatment about questionnaires using fuzzy logic techniques, we can obtain the equivalent response of a specific group, as well as membership and uncertainty of it. This will reduce the subjective interpretation of the pollsters, favoring decision to propose public policies related to improving the quality of life of people in this society.

Hybrid System to Determine the Ranking of a Returning Participant in Eurovision

Many problems involve not structured environments which can be solved from the perspective of particle swarm optimization (PSO). In this research analyze the voting behavior in a popular song contest held every year in Europe. The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity to run a direct test of vote trading from logrolling. We show that they are rather driven by linguistic and cultural proximities between singers and voting countries. With this information it is possible to predict the score of a new country, redistributed the assigned votes for a lot of the participants, this paper tries to explain this social behavior.