A RBES for Generating Automatically Personalized Menus

Food bought at supermarkets in, for instance, North America or the European Union, give comprehensive information about ingredients and allergens. Meanwhile, the menus of restaurants are usually incomplete and cannot be normally completed by the waiter. This is specially important when traveling to countries with a di erent culture. A curious example is "calamares en su tinta" (squid in its own ink), a common dish in Spain. Its brief description would be "squid with boiled rice in its own (black) ink", but an ingredient of its sauce is flour, a fact very important for celiacs. There are constraints based on religious believes, due to food allergies or to illnesses, while others just derive from personal preferences. Another complicated situation arise in hospitals, where the doctors' nutritional recommendations have to be added to the patient's usual constraints. We have therefore designed and developed a Rule Based Expert System (RBES) that can address these problems. The rules derive directly from the recipes of the di fferent dishes and contain the information about the required ingredients and ways of cooking. In fact, we distinguish: ingredients and ways of cooking, intermediate products (like sauces, that aren't always made explicit) and final products (the dishes listed in the menu of the restaurant). For a certain restaurant, customer and instant, the input to the RBES are: actualized stock of ingredients and personal characteristics of that customer. The RBES then prepares a "personalized menu" using set operations and knowledge extraction (thanks to an algebraic inference engine [1]). The RBES has been implemented in the computer algebra system MapleTM2015. A rst version of this work was presented at "Applications of Computer Algebra 2015" (ACA'2015) conference. The corresponding abstract is available at [2].Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A fast functional approach to personalized menus generation using set operations

The authors developed some time ago a RBES devoted to preparing personalized menus at restaurants according to the allergies, religious constraints, likes and other diet requirements as well as products availability. A first version was presented at the "Applications of Computer Algebra 2015" (ACA'2015) conference and an improved version to the "5th European Seminar on Computing" (ESCO2016). Preparing personalized menus can be specially important when traveling abroad and facing unknown dishes in a menu. Some restaurants include icons in their menu regarding their adequateness for celiacs or vegetarians and vegans, but this is not always a complete information, as it doesn't consider, for instance, personal dislikes or uncommon allergies. The tool previously developed can obtain, using logic deduction, a personalized menu for each customer, according to the precise recipes of the restaurant and taking into account the data given by the customer and the ingredients out of stock (if any). Now a new approach has been followed, using functions and set operations and the speed has been increased by three orders of magnitude, allowing to deal with huge menus instantly. Both approaches have been implemented on the computer algebra system Maple and are exemplified using the same recipes in order to compare their performances.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Computer Algebra-based RBES personalized menu generator

People have many constraints concerning the food they eat. These constraints can be based on religious believes, be due to food allergies or to illnesses, or can be derived just from personal preferences. Therefore, preparing menus at hospitals and restaurants can be really complex. Another special situation arise when travel- ing abroad. It is not always enough to know the brief description in the restaurant menu or the explanation of the waiter. For example, “calamares en su tinta” (squid in its own ink) is a delicious typical Spanish dish, not well-known abroad. Its brief description would be “squid with boiled rice in its own (black) ink”. But an in- gredient (included in a small amount, in order to thicken the sauce) is flour, a fact very important for someone suffering from celiac disease. Therefore, we have con- sidered that it would be very interesting to develop a Rule Based Expert System (RBES) to address these problems. The rules derive directly from the recipes and contain the information about required ingredients and names of the dishes. We distinguish: ingredients and ways of cooking, intermediate products (like “mayon- naise”, that doesn’t always appear explicitly in the restaurants’ menus) and final products (like “seafood cocktail”, that are the dishes listed in the restaurant menu). For each customer at a certain moment, the input to the system are: on one hand, the stock of ingredients at that moment, and on the other, the religion, allergies and restrictions due to illnesses or personal preferences of the customer. The RBES then constructs a “personalized restaurant menu” using set operations and knowl- edge extraction (thanks to an algebraic Groebner bases-based inference engine[1]). The RBES has been implemented in the computer algebra system Maple TM 18(us-ing its convenient Embedded Components) and can be run from computers and tablets using Maple TM or the Maple TM PlayerUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Estimating radial railway network improvement with a CAS

The Spanish railway network is very complex, with two different track gauges: the broad classic Iberian track gauge and the so called international gauge, the latter used in the extensive high speed network. All new lines have been built with double track and top technologies. But there are controversial opinions among experts regarding how the network should grow. We had developed what we called isochrone circle graphs and a geometric index for radial railway networks improvement estimation, that can be very useful for decision taking regarding the improvement of railway lines. The corresponding paper was illustrated with a sketch constructed with a Dynamic Geometry System that used sliders to change the input parameters (timing to each peripheral destination and population of these destinations). Although very comfortable to use, altering the number of peripheral destinations considered required to construct a complete new sketch. To avoid this problem and in order to be able to perform symbolic computations and solve equations with the data obtained, we have begun from scratch and have designed and implemented a complete new package in the computer algebra system CAS Maple that takes as input the lists of destinations, timings and populations and builds the corresponding isochrone circle graphs and performs all the corresponding calculations. An important advantage of working in symbolic mode (i.e., of introducing parameters in the computations) is the possibility to work with unknowns (that represent network improvement goals) and consequently obtain the time improvement required in a line in order to ful ll a network speci c improvement goal

Ronald K. Hambleton: A Legacy Beyond Quantitative Scientific Indicators

Professor Ronald K. Hambleton (1943-2022) shaped the development of psychometrics in the United States and had a far-reaching impact on professionals interested in psychological and educational measurement worldwide. All three authors were at different times visiting researchers in the Research, Educational Measurement & Psychometrics (REMP) Program at the School of Education at the University of Massachusetts at Amherst (USA). We would like to develop these brief notes according to three main arguments of how Ron impacted our lives: Hambleton as a "professional model," Hambleton as an "educator," and the indelible imprint that Ron has left on our professional practice

Linked Data Methodologies for Managing Information about Television Content

OntoTV is a television information management system designed for improving the quality and quantity of the information available in the current television platforms. In order to achieve this objective, OntoTV (1) collects the information offered by the broadcasters, (2) integrates it into a ontology-based data structure, (3) extracts extra data from alternative television sources, and (4) makes possible for the user to perform queries over the stored information. This document shows the way Linked Data methodologies have been applied in OntoTV system, and the improvements in the data consumption and publication processes that have been obtained as result. On the one hand, the possibility of accessing to information available in the Web of Data has made possible to offer more complete descriptions about the programs, as well as more detailed guides than those obtained by using classic collection methods. On the other hand, as the information of the television programs and channels is published according to the Linked Data philosophy, it becomes available not only for OntoTV clients, but also for other agents able to access Linked Data resources, who could offer the viewer more fresh and innovative features

An Approach to Overtaking Station Layout Diagram Design Using Graphs

The authors have approached in the past different railway engineering problems (e.g. [1,2]) and have developed software for the Spanish Railway Foundation [3], mainly using computer algebra systems (CAS). Now a CAS is used for designing and implementing a software package that allows to compare different layout diagrams for overtaking stations [4], from the point of view of its flexibility (for instance in degraded working conditions). The most common cases of overtaking stations (stations on double track lines with one or two sidings each side of the main line and one or two crossovers at the two throats of the overtaking station) are considered as illustration. It will be shown how, surprisingly, the usual position of the crossovers is not optimum from this point of view. The key idea is to use graph theory to determine the number of pairs of non conflicting itineraries (one in each direction) that can be simultaneously authorized by the railway interlocking system. The package can be applied to an overtaking station with any layout diagram. This is an important issue: for instance, the Spanish infrastructure administrator (Adif) is now planning a new track layout for Madrid Chamartín station [5] and the Iberian gauge part of Madrid Atocha station.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Individual and societal risk factors of attitudes justifying intimate partner violence against women: a multilevel cross-sectional study

Data are available in a public, open access repository. Data used in the research are available in a public, open access repository. These can be obtained at https:// osf. io/ vza98/? view_ only= 8748 b54b f6a1 44b0 896e 6a9e 5f239e89 or by emailing to first author.Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.Objectives Attitudes justifying intimate partner violence against women (IPVAW) can play an essential role in explaining the prevalence of such public health problem. The study aim was to explain attitudes justifying IPVAW identifying individual and societal risk factors. Design and setting A multilevel cross-sectional study of the World Values Survey (WVS) in 54 global countries. Participants A representative transnational community-based sample of 81 516 participants (47.8% male, 52.1% female), aged mean of 42.41. Measures Attitudes justifying IPVAW, sociodemographic, sexism, self-transcendence and conservation values were measured using questions from WVS. Country and regional gender inequality were assessed by Gender Inequality Index. Results Around 16% (intraclass correlation=0.16) of individual differences in attitudes justifying IPVAW are explained by countries. Statistically significant predictors at individual and country level were: sex (B=−0.24, 95% CI −0.27 to −0.22), age (B=−0.08 to −0.25, 95% CI −0.34 to −0.03), marital status (B=0.09 to 0.23, 95% CI 0.002 to 0.33), educational level (B=−0.10 to −0.14, 95% CI −0.20 to −0.04), self-transcendence values (B=−0.10, 95% CI −0.20 to −0.12), sexism (B=0.21, 95% CI 0.15 to 0.28), country (B=2.18, 95% CI 1.09 to 3.26) and regional (B=2.23, 95% CI 1.04 to 3.42) gender inequality. Country gender inequality (B=−0.18, p=0.12) and regional gender inequality (B=−0.21, p=0.10) did not moderate the associations between self-transcendence values and attitudes justifying IPVAW. In the same way for sexism, data did not provide support for a moderating role of country gender inequality (B=0.22, p=0.26) and regional gender inequality (B=0.10, p=0.66). Conclusions Individual and country predictors accounted for differences in attitudes justifying IPVAW. However, neither gender inequality of country nor gender inequality of region interacted with sexism and self-transcendence values. Theoretical and methodological implications are discussed.Scholarship for University Teachers Training - Spanish Ministry of Education, Culture and Sport FPU16/0302

Public Helping Reactions to Intimate Partner Violence against Women in European Countries: The Role of Gender-Related Individual and Macrosocial Factors

Public helping reactions are essential to reduce a victim’s secondary victimization in intimate partner violence against women (IPVAW) cases. Because gender-related characteristics have been linked widely to IPVAWprevalence, the study aimed to examine individual attitudes and perceptions toward di erent forms of violence against women, as well as gender-related macrosocial ideological and structural factors, in explaining helping reactions to IPVAWacross 28 European countries. We performed multilevel logistic regression analysis, taking measures from the Eurobarometer 2016 (N = 7115) and the European Institute for Gender Equality datasets. Our study revealed a greater individual perceived IPVAW prevalence, positive perception about the appropriateness of a legal response to psychological and sexual violence against women partners, and less VAW-supportive attitudes predicted helping reactions (i.e., formal, informal), but not negative reactions to IPVAW. Moreover, individuals from European countries with a greater perceived IPVAW prevalence and gender equality preferred formal reactions to IPVAW. Otherwise, in the European countries with lesser perceived IPVAW prevalence and negative perceptions about the appropriate legal response to psychological and sexual violence, people were more likely to provide informal reactions to IPVAW. Our results showed the role of gender-related characteristics influenced real reactions toward known victim of IPVAW.FPU Program of the Spanish Ministry of Education, Culture, and Sport FPU16/03024PAI Research Group 624: Modeling and Measuring Human Behavio

A proposal of a mixed diagnostic system based on decision trees and probabilistic experts rules

Decision trees and rule-based expert systems (RBES) are standard diagnostic tools. We propose a mixed technique that starts with a probabilistic decision tree where information is obtained from a real world data base. The decision tree is automatically translated into a set of probabilistic rules. Meanwhile a panel of experts proposes their own set of probabilistic rules, according with their experience on the subject. Both sets of rules are combined, generating a mixed RBES with probabilistic rules. The expected probabilities of the rules translating the knowledge in the decision tree are discretized by considering a mapping from intervals of expected probabilities into a set of five values. This way, knowledge coming from real data is completed with the experience of the panel of experts in order to provide a more accurate prediction of suffering from type 2 diabetes mellitus (T2DM) before seven and a half years in the future. The proposed technique is illustrated with a real case using a diabetes diagnosis probabilistic decision tree built using 1350 out of 1800 real cases and the rules provided by a panel of experts in diabetes. The final result takes into account both the probabilities of the rules and the number of times that each possible consequent is reached, giving a probabilistic result among seven possibilities. For modeling the decision tree, 75% of the individuals in the database (randomly selected) have been used and the rest (25%) have been used to test the results. The results of the Mixed RBES have been compared with the results of the Tree RBES (the RBES built using only the rules from the decision tree) and the results of the Experts’ RBES (the RBES built using only the rules from the panel of experts). The accuracy of the predictions of the Mixed RBES is much better.Funding for open access charge: Universidad de Málaga / CBU